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Nuts and health in aging

Larry H. Bernstein, MD, FCAP, Curator

LPBI

 

 

Nut consumption and age-related disease

Giuseppe GrossoRamon Estruch

MATURITAS · OCT 2015     http://dx.doi.org/10.1016/j.maturitas.2015.10.014

Current knowledge on the effects of nut consumption on human health has rapidly increased in recent years and it now appears that nuts may play a role in the prevention of chronic age-related diseases. Frequent nut consumption has been associated with better metabolic status, decreased body weight as well as lower body weight gain over time and thus reduce the risk of obesity. The effect of nuts on glucose metabolism, blood lipids, and blood pressure are still controversial. However, significant decreased cardiovascular risk has been reported in a number of observational and clinical intervention studies. Thus, findings from cohort studies show that increased nut consumption is associated with a reduced risk of cardiovascular disease and mortality (especially that due to cardiovascular-related causes). Similarly, nut consumption has been also associated with reduced risk of certain cancers, such as colorectal, endometrial, and pancreatic neoplasms. Evidence regarding nut consumption and neurological or psychiatric disorders is scarce, but a number of studies suggest significant protective effects against depression, mild cognitive disorders and Alzheimer’s disease. The underlying mechanisms appear to include antioxidant and anti-inflammatory actions, particularly related to their mono- and polyunsaturated fatty acids (MUFA and PUFA, as well as vitamin and polyphenol content. MUFA have been demonstrated to improve pancreatic beta-cell function and regulation of postprandial glycemia and insulin sensitivity. PUFA may act on the central nervous system protecting neuronal and cell-signaling function and maintenance. The fiber and mineral content of nuts may also confer health benefits. Nuts therefore show promise as useful adjuvants to prevent, delay or ameliorate a number of chronic conditions in older people. Their association with decreased mortality suggests a potential in reducing disease burden, including cardiovascular disease, cancer, and cognitive impairments.

 

Global life expectancy has increased from 65 years in 1990 to about 71 years in 2013 [1]. As life expectancy has increased, the number of healthy years lost due to disability has also risen in most countries, consistent with greater morbidity [2]. Reduction of mortality rates in developed countries has been associated with a shift towards more chronic non-communicable diseases [1]. Cardiovascular diseases (CVDs) and related risk factors, such as hypertension, diabetes mellitus, hypercholesterolemia, and obesity are the top causes of death globally, accounting for nearly one-third of all deaths worldwide [3]. Equally, the estimated incidence, mortality, and disability- adjusted life-years (DALYs) for cancer rose to 14.9 million incident cancer cases, 8.2 million deaths, and 196.3 million DALYs, with the highest impact of prostate and breast cancer in men and women, respectively [4]. Depression is a leading cause of disability worldwide (in terms of total years lost due to disability), especially in high-income countries, increasing from 15th to 11th rank (37% increase) and accounting for 18% of total DALYs (almost 100 million DALYs) [5]. Overall, the global rise in chronic non-communicable diseases is congruent with a similar rise in the elderly population. The proportion of people over the age of 60 is growing faster than any other age group and is estimated to double from about 11% to 22% within the next 50 years [6]. Public health efforts are needed to face this epidemiological and demographic transition, both improving the healthcare systems, as well as assuring a better health in older people. Accordingly, a preventive approach is crucial to dealing with an ageing population to reduce the burden of chronic disease.

In this context, lifestyle behaviors have demonstrated the highest impact for older adults in preventing and controlling the morbidity and mortality due to non- communicable diseases [7]. Unhealthy behaviors, such as unbalanced dietary patterns, lack of physical activity and smoking, play a central role in increasing both cardiovascular and cancer risk [7]. Equally, social isolation and depression in later life may boost health decline and significantly contribute to mortality risk [8]. The role of diet in prevention of disability and death is a well-established factor, which has an even more important role in geriatric populations. Research has focused on the effect of both single foods and whole dietary patterns on a number of health outcomes, including mortality, cardiovascular disease (CVD), cancer and mental health disorders (such as cognitive decline and depression) [9-13]. Plantbased dietary patterns demonstrate the most convincing evidence in preventing chronic non-communicable diseases [14-17]. Among the main components (including fruit and vegetables, legumes and cereals), only lately has attention focused on foods such as nuts. Knowledge on the effect of nut consumption on human health has increased rapidly in recent years. The aim of this narrative review is to examine recent evidence regarding the role of nut consumption in preventing chronic disease in older people.

Tree nuts are dry fruits with an edible seed and a hard shell. The most popular tree nuts are almonds (Prunus amigdalis), hazelnuts (Corylus avellana), walnuts (Juglans regia), pistachios (Pistachia vera), cashews (Anacardium occidentale), pecans (Carya illinoiensis), pine nuts (Pinus pinea), macadamias (Macadamia integrifolia), Brazil nuts (Bertholletia excelsa), and chestnuts (Castanea sativa). When considering the “nut” group, researchers also include peanuts (Arachis hypogea), which technically are groundnuts. Nuts are nutrient dense foods, rich in proteins, fats (mainly unsaturated fatty acids), fiber, vitamins, minerals, as well as a number of phytochemicals, such as phytosterols and polyphenols [18]. Proteins account for about 10-25% of energy, including individual aminoacids, such as L-arginine, which is involved in the production of nitric oxide (NO), an endogenous vasodilatator [19].

The fatty acids composition of nuts involves saturated fats for 415% and unsaturated fatty acids for 30-60% of the content. Unsaturated fatty acids are different depending on the nut type, including monounsaturated fatty acids (MUFA, such as oleic acid in most of nuts, whereas polyunsaturated fatty acids (PUFA, such as alpha-linolenic acid) in pine nuts and walnuts [20]. Also fiber content is similar among most nut types (about 10%), although pine nuts and cashews hold the least content. Vitamins contained in nuts are group B vitamins, such as B6 (involved in many aspects of macronutrient metabolism) and folate (necessary for normal cellular function, DNA synthesis and metabolism, and homocysteine detoxification), as well as tocopherols, involved in anti-oxidant mechanisms [21]. Among minerals contained in vegetables, nuts have an optimal content in calcium, magnesium, and potassium, with an extremely low amount of sodium, which is implicated on a number of pathological conditions, such as bone demineralization, hypertension and insulin resistance[22]. Nuts are also rich in phytosterols, non-nutritive components of certain plant-foods that exert both structural (at cellular membrane phospholipids level) and hormonal (estrogen-like) activities [23]. Finally, nuts have been demonstrated to be a rich source of polyphenols, which account for a key role in their antioxidant and anti-inflammatory effects.

 

Metabolic disorders are mainly characterized by obesity, hypertension, dyslipidemia, and hyperglycemia/ hyperinsulinemia/type-2 diabetes, all of which act synergistically to increase morbidity and mortality of aging population.

Obesity Increasing high carbohydrate and fat food intake in the last decades has contributed significantly to the rise in metabolic disorders. Nuts are energy-dense foods that have been thought to be positively associated with increased body mass index (BMI). As calorie-dense foods, nuts may contain 160–200 calories per ounce. The recommendation from the American Heart  Association to consume 5 servings per week (with an average recommended serving size of 28 g) corresponds to a net increase of 800–1000 calories per week, which may cause weight gain. However, an inverse relation between the frequency of nut consumption and BMI has been observed in large cohort studies [24]. Pooling the baseline observations of BMI by category of nut consumption in 5 cohort studies found a significant decreasing trend in BMI values with increasing nut intake [24]. While the evidence regarding nut consumption and obesity is limited, findings so far are encouraging [25, 26]. When the association between nut consumption and body weight has been evaluated longitudinally over time, nut intake was associated with a slightly lower risk of weight gain and obesity [25]. In the Nurses’ Health Study II (NHS II), women who eat nuts ≥2 times per week had slightly less weight gain (5.04 kg) than did women who rarely ate nuts (5.55 kg) and marginally significant 23% lower risk of obesity after 9-year follow-up [25]. Further evaluation of the NHS II data and the Physicians’ Health Study (PHS) comprising a total of 120,877 US women and men and followed up to 20 years revealed that 4-y weight change was inversely associated with a 1-serving increment in the intake of nuts (20.26 kg) [27]. In the “Seguimiento Universidad de Navarra” (SUN) cohort study, a significant decreased weight change has been observed over a period of 6 years [26]. After adjustment for potential confounding factors the analysis was no longer significant, but overall no weight gain associated with >2 servings per week of nuts has been observed. Finally, when considering the role of the whole diet on body weight, a meta-analysis of 31 clinical trials led to the conclusion of a null effect of nut intake on body weight, BMI, and waist circumference [28].

Glucose metabolism and type-2 diabetes The association between nut consumption and risk of type-2 diabetes in prospective cohort studies is controversial [29-32]. A pooled analysis relied on the examination of five large cohorts, including the NHS, the Shanghai Women’s Health Study, the Iowa Women’s Health Study, and the PHS, and two European studies conducted in Spain (the PREDIMED trial) and Finland including a total of more than 230,000 participants and 13,000 cases, respectively. Consumption of 4 servings per week was associated with 13% reduced risk of type-2 diabetes without effect modification by age [29]. In contrast, other pooled analyses showed non-significant reduction of risk for increased intakes of nuts, underlying that the inverse association between the consumption of nuts and diabetes was attenuated after adjustment for confounding factors, including BMI [30]. However, results from experimental studies showed promising results. Thus, nut consumption has been demonstrated to exert beneficial metabolic effects due to their action on post-prandial glycemia an insulin sensitivity. A number of RCTs have demonstrated positive effects of nut consumption on post-prandial glycemia in healthy individuals [33-38]. Moreover, a meta-analysis of RCTs on the effects of nut intake on glycemic control in diabetic individuals including 12 trials and a total of 450 participants showed that diets with an emphasis on nuts (median dose = 56 g/d) significantly lowered HbA1c (Mean Difference [MD] : -0.07%; 95% confidence interval [CI]: -0.10, -0.03%; P = 0.0003) and fasting glucose (MD : -0.15 mmol/L; 95% CI: -0.27, -0.02 mmol/L; P = 0.03) compared with control diets [39]. No significant treatment effects were observed for fasting insulin and homeostatic model assessment (HOMA-IR), despite the direction of effect favoring diet regimens including nuts.

Blood lipids and hypertension Hypertension and dyslipidemia are major risk factors for CVD. Diet alone has a predominant role in blood pressure and plasma lipid homeostasis. One systematic review [40] and 3 pooled quantitative analyses of RCTs [41-43] evaluated the effects of nut consumption on lipid profiles. A general agreement was relevant on certain markers, as daily consumption of nuts (mean = 67 g/d) induced a pooled reduction of total cholesterol concentration (10.9 mg/dL [5.1% change]), low-density lipoprotein cholesterol concentration (LDL-C) (10.2 mg/dL [7.4% change]), ratio of LDL-C to high-density lipoprotein cholesterol concentration (HDL-C) (0.22 [8.3% change]), and ratio of total cholesterol concentration to HDL-C (0.24 [5.6% change]) (P <0.001 for all) [42]. All meta-analyses showed no significant effects of nut (including walnut) consumption on HDL cholesterol or triglyceride concentrations in healthy individuals [41], although reduced plasma triglyceride levels were found in individuals with hypertriglyceridemia [42]. Interestingly, the effects of nut consumption were dose related, and different types of nuts had similar effects on blood lipid concentrations.

There is only limited evidence from observational studies to suggest that nuts have a protective role on blood pressure. A pooled analysis of prospective cohort studies on nut consumption and hypertension reported a decreased risk associated with increased intake of nuts [32]. Specifically, only a limited number of cohort studies have been conducted exploring the association between nut consumption and hypertension (n = 3), but overall reporting an 8% reduced risk of hypertension for individuals consuming >2 servings per week (Risk Ratio [RR] = 0.92, 95% CI: 0.87-0.97) compared with never/rare consumers, whereas consumption of nuts at one serving per week had similar risk estimates (RR = 0.97, 95% CI: 0.83, 1.13) [32]. These findings are consistent with results obtained in a pooled analysis of 21 experimental studies reporting the effect of consuming single or mixed nuts (in doses ranging from 30 to 100 g/d) on systolic (SBP) and diastolic blood pressure (DBP) [44]. A pooled analysis found a significant reduction in SBP in participants without type2 diabetes [MD: -1.29 mmHg; 95% CI: -2.35, -0.22; P = 0.02] and DBP (MD: -1.19; 95% CI: -2.35, -0.03; P = 0.04), whereas subgroup analyses of different nut types showed that pistachios, but not other nuts, significantly reduced SBP (MD: -1.82; 95% CI: -2.97, -0.67; P = 0.002) and SBP (MD: -0.80; 95% CI: -1.43, -0.17; P = 0.01) [44].

Nut consumption and CVD risk Clustering of metabolic risk factors occurs in most obese individuals, greatly increasing risk of CVD. The association between nut consumption and CVD incidence [29-31] and mortality [24] has been explored in several pooled analyses of prospective studies. The overall risk calculated for CVD on a total of 8,862 cases was reduced by 29% for individuals consuming 7 servings per week (RR = 0.71, 95% CI: 0.59, 0.85) [30]. A meta-analysis including 9 studies on coronary artery disease (CAD) including 179,885 individuals and 7,236 cases, reporting that 1-serving/day increment would reduce risk of CAD of about 20% (RR = 0.81, 95% CI: 0.72, 0.91) [31]. Similar risk estimates were calculated for ischemic heart disease (IHD), with a comprehensive reduced risk of about 25-30% associated with a daily intake of nuts [29, 30]. Findings from 4 prospective studies have been pooled to estimate the association between nut consumption and risk of stroke, and a non-significant/borderline reduced risk was found [29-31, 45]. CVD mortality was explored in a recent meta-analysis including a total of 354,933 participants, 44,636 cumulative incident deaths, and 3,746,534 cumulative person-years [24]. One serving of nuts per week and per day resulted in decreased risk of CVD mortality (RR = 0.93, 95% CI: 0.88, 0.99 and RR =0.61, 95% CI: 0.42, 0.91, respectively], primarily driven by decreased coronary artery disease (CAD) deaths rather than stroke deaths [24]. Overall, all pooled analyses demonstrated a significant association between nut consumption and cardiovascular health. However, it has been argued that nut consumption was consistently associated with healthier background characteristics reflecting overall healthier lifestyle choices that eventually lead to decreased CVD mortality risk.

Nut consumption and cancer risk Cancer is one of the leading causes of death in the elderly population. After the evaluation of the impact on cancer burden of food and nutrients, it has been concluded that up to one third of malignancies may be prevented by healthy lifestyle choices. Fruit and vegetable intake has been the focus of major attention, but studies on nut consumption and cancer are scarce. A recent metaanalysis pooled together findings of observational studies on cancer incidence, including a total of 16 cohort and 20 casecontrol studies comprising 30,708 cases, compared the highest category of nut consumption with the lowest category and found a lower risk of any cancer of 25% (RR = 0.85, 95% CI: 0.86, 0.95) [46]. When the analysis was conducted by cancer site, highest consumption of nuts was associated with decreased risk of colorectal (RR = 0.76, 95% CI: 0.61, 0.96), endometrial (RR = 0.58, 95% CI: 0.43, 0.79), and pancreatic cancer (RR = 0.71, 95% CI: 0.51, 0.99), with only one cohort study was conducted on the last [46]. The potential protective effects of nut consumption on cancer outcomes was supported also by pooled analysis of 3 cohort studies [comprising the PREDIMED, the NHS, the HPS, and the Health Professionals Follow-Up Study (HPFS) cohorts] showing a decreased risk of cancer death for individuals consuming 3-5 servings of nuts per week compared with never eaters (RR = 0.86, 95% CI: 0.75, 0.98) [24]. The analysis was recently updated by including results from the Netherlands Cohort Study reaching a total of 14,340 deaths out of 247,030 men and women observed, confirming previous results with no evidence of between-study heterogeneity (RR = 0.85, 95% CI: 0.77, 0.93) [47]. However, a dose- response relation showed the non-linearity of the association, suggesting that only moderate daily consumption up to 5 g reduced risk of cancer mortality, and extra increased intakes were associated with no further decreased risk.

Nut consumption and affective/cognitive disorders Age-related cognitive decline is one of the most detrimental health problems in older people. Cognitive decline is a paraphysiological process of aging, but timing and severity of onset has been demonstrated to be affected by modifiable lifestyle factors, including diet. In fact, the nature of the age- related conditions leading to a mild cognitive impairment (MCI) differs by inflammation-related chronic neurodegenerative diseases, such as dementia, Alzheimer’s disease, Parkinson’s disease and depression. Evidence restricted to nut consumption alone is scarce, but a number of studies have been conducted on dietary patterns including nuts as a major component. A pooled analysis synthesizing findings of studies examining the association between adherence to a traditional Mediterranean diet and risk of depression (n = 9), cognitive decline (n = 8), and Parkinson’s disease (n = 1) showed a reduction of risk of depression (RR = 0.68, 95% CI: 0.54, 0.86) and cognitive impairment (RR = 0.60, 95% CI: 0.43, 0.83) in individuals with increased dietary adherence [10].

The study that first found a decreased risk of Alzheimer’s disease in individuals highly adherent to the Mediterranean diet was conducted in over 2,000 individuals in the Washington/Hamilton Heights-Inwood Columbia Aging Project (WHICAP), a cohort of non-demented elders aged 65 and older living in a multi-ethnic community of Northern Manhattan in the US (Hazard Ratio [HR] = 0.91, 95% CI: 0.83, 0.98) [48]. These results have been replicated in further studies on the Mediterranean diet, however nut consumption was not documented [49, 50]. A number of observational studies also demonstrated a significant association between this dietary pattern and a range of other cognitive outcomes, including slower global cognitive decline [51]. However, evidence from experimental studies is limited to the PREDIMED trial, providing interesting insights on the association between the Mediterranean diet supplemented with mixed nuts and both depression and cognitive outcomes. Regarding depression, the nutritional intervention with a Mediterranean diet supplemented with nuts showed a lower risk of about 40% in participants with type-2 diabetes (RR = 0.59, 95% CI: 0.36, 0.98) compared with the control diet [52]. However the effect was not significant in the whole cohort overall [52]. Regarding cognitive outcomes after a mean follow-up of 4.1 years, findings from the same trial showed significant improvements in memory and global cognition tests for individuals allocated to the Mediterranean diet supplemented with nuts [adjusted differences: -0.09 (95% CI: -0.05, 0.23), P = 0.04 and -0.05 (95% CI: -0.27, 0.18), P = 0.04, respectively], compared to control group, showing that Mediterranean diet plus mixed nuts is associated with improved cognitive function [53].

 

Potential mechanisms of protection of nut consumption Despite the exact mechanisms by which nuts may ameliorate human health being largely unknown, new evidence has allowed us to start to better understand the protection of some high-fat, vegetable, energy-dense foods such as nuts. Non- communicable disease burden related with nutritional habits is mainly secondary to exaggerated intakes of refined sugars and saturated fats, such as processed and fast- foods. Nuts provide a number of nutrient and non-nutrient compounds and it is only recently that scientists have tried to examine their effects on metabolic pathways.

Metabolic and cardiovascular protection With special regard to body weight and their potential effects in decreasing the risk of obesity (or weight gain, in general), nuts may induce satiation (reduction in the total amount of food eaten in a single meal) and satiety (reduction in the frequency of meals) due to their content in fibers and proteins, which are associated with increased release of glucagon-like protein 1 (GLP-1) and cholecystokinin (CCK), gastrointestinal hormones with satiety effects [54, 55]. The content in fiber of nuts may also increase thermogenesis and resting energy expenditure, and reduce post- prandial changes of glucose, thus ameliorating inflammation and insulin resistance. Moreover, the specific content profile of MUFA and PUFA provides readily oxidized fats than saturated or trans fatty acids, leading to reduced fat accumulation [56, 57]. The beneficial effects of nuts toward glucose metabolism may be provided by their MUFA content that improves the efficiency of pancreatic beta-cell function by enhancing the secretion of GLP1, which in turn helps the regulation of postprandial glycemia and insulin sensitivity [58]. MUFA and PUFA are also able to reduce serum concentrations of the vasoconstrictor thromboxane 2, which might influence blood pressure regulation. Together with polyphenols and anti-oxidant vitamins, nuts may also ameliorate inflammatory status at the vascular level, reducing circulating levels of soluble cellular adhesion molecules, such as intercellular adhesion molecule-1 (ICAM-1), vascular cell adhesion molecule-1 (VCAM-1), and E-selectin, which are released from the activated endothelium and circulating monocytes [59]. Moreover, nuts may improve vascular reactivity due to their content in L-arginine, which is a potent precursor of the endogenous vasodilator nitric oxide. Nuts content in microelements is characterized by a mixture that may exert a direct effect in modulating blood pressure, including low content of sodium and richness in magnesium, potassium and calcium, which may interact to beneficially influence blood pressure
Despite the exact mechanisms by which nuts may ameliorate human health being largely unknown, new evidence has allowed us to start to better understand the protection of some high-fat, vegetable, energy-dense foods such as nuts. Non- communicable disease burden related with nutritional habits is mainly secondary to exaggerated intakes of refined sugars and saturated fats, such as processed and fast- foods. Nuts provide a number of nutrient and non-nutrient compounds and it is only recently that scientists have tried to examine their effects on metabolic pathways.

Cancer protection The potential mechanisms of action of nuts that may intervene in the prevention of cancer have not been totally elucidated. Numerous hypotheses have been proposed on the basis of basic research exploring the antioxidant and anti-inflammatory compounds characterizing nuts [61]. Vitamin E can regulate cell differentiation and proliferation, whereas polyphenols (particularly flavonoids such as quercetin and stilbenes such as resveratrol) have been shown to inhibit chemically-induced carcinogenesis [62]. Polyphenols may regulate the inflammatory response and immunological activity by acting on the formation of the prostaglandins and pro-inflammatory cytokines, which may be an important mechanism involved in a number of cancers, including colorectal, gastric, cervical and pancreatic neoplasms [62]. Among other compounds contained in nuts, dietary fiber may exert protective effects toward certain cancers (including, but not limited to colorectal cancer) by the aforementioned metabolic effects as well as increasing the volume of feces and anaerobic fermentation, and reducing the length of intestinal transit. As a result, the intestinal mucosa is exposed to carcinogens for a reduced time and the carcinogens in the colon are diluted [62]. Finally, there is no specific pathway demonstrating the protective effect of PUFA intake against cancer, but their interference with cytokines and prostaglandin metabolism may inhibit a state of chronic inflammation that may increase cancer risk [63].

Cognitive aging and neuro-protection There is no universal mechanism of action for nuts with regard to age-related conditions. A number of systemic biological conditions, such as oxidative stress, inflammation, and reduced cerebral blood flow have been considered as key factors in the pathogenesis of both normal cognitive ageing and chronic neurodegenerative disease [64]. Nuts, alone or as part of healthy dietary patterns, may exert beneficial effects due to their richness in antioxidants, including vitamins, polyphenols and unsaturated fatty acids, that may be protective against the development of cognitive decline and depression [65, 66]. Both animal studies and experimental clinical trials demonstrated vascular benefits of nuts, including the aforementioned lowering of inflammatory markers and improved endothelial function, which all appear to contribute to improved cognitive function [67]. The antioxidant action may affect the physiology of the ageing brain directly, by protecting neuronal and cell-signaling function and maintenance. Moreover, certain compounds contained in nuts may directly interact with the physiology and functioning of the brain. For instance, walnuts are largely composed of PUFA, especially ALA, which have been suggested to induce structural change in brain areas associated with affective experience [66]. Moreover, PUFA have been associated with improved symptoms in depressed patients, suggesting an active role in the underlying pathophysiological mechanisms [68]. Thus, the mechanisms of action of nut consumption on age-related cognitive and depressive disorders are complex, involving direct effects on brain physiology at the neuronal and cellular level and indirect effects by influencing inflammation.

 

Summary From an epidemiological point of view, nut eaters have been associated with overall healthier lifestyle habits, such as increased physical activity, lower prevalence of smoking, and increased consumption of fruits and vegetables [24]. These variables represent strong confounding factors in determining the effects of nuts alone on human health and final conclusions cannot be drawn. Nevertheless, results from clinical trials are encouraging. Nuts show promise as useful adjuvants to prevent, delay or ameliorate a number of chronic conditions in older people.

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Role of Inflammation in Disease

Larry H. Bernstein, MD, FCAP, Curator

LPBI

 

 

Inflamed  

The debate over the latest cure-all craze.

BY

Medical Dispatch NOVEMBER 30, 2015 ISSUE     http://www.newyorker.com/magazine/2015/11/30/inflamed

 

The National Institutes of Health recently designated inflammation a priority.

 

The National Institutes of Health recently designated inflammation a priority.
CREDIT ILLUSTRATION BY CHAD HAGEN

 

Several years ago, I fell at the gym and ripped two tendons in my wrist. The pain was excruciating, and within minutes my hand had swollen grotesquely and become hot to the touch. I was reminded of a patient I’d seen early in medical school, whose bacterial infection extended from his knee to his toes. Latin was long absent from the teaching curriculum, but, as my instructor examined the leg, he cited the four classic symptoms of inflammation articulated by the Roman medical writer Celsus in the first century: rubor, redness; tumor, swelling; calor, heat; and dolor, pain. In Latin, inflammatio means “setting on fire,” and as I considered the searing pain in my injured hand I understood how the condition earned its name.

Inflammation occurs when the body rallies to defend itself against invading microbes or to heal damaged tissue. The walls of the capillaries dilate and grow more porous, enabling white blood cells to flood the damaged site. As blood flows in and fluid leaks out, the region swells, which can put pressure on surrounding nerves, causing pain; inflammatory molecules may also activate pain fibres. The heat most likely results from the increase in blood flow.
The key white blood cell in inflammation is called a macrophage, and for decades it has been a subject of study in my hematology laboratory and in many others. Macrophages were once cast as humble handmaidens of the immune system, responsible for recognizing microbes or debris and gobbling them up. But in recent years researchers have come to understand that macrophages are able to assemble, within themselves, specialized platforms that pump out the dozens of molecules that promote inflammation. These platforms, called inflammasomes, are like pop-up factories—quickly assembled when needed and quickly dismantled when the crisis has passed.

For centuries, scientists have debated whether inflammation is good or bad for us. Now we believe that it’s both: too little, and microbes fester and spread in the body, or wounds fail to heal; too much, and nearby healthy tissue can be degraded or destroyed. The fire of inflammation must be tightly controlled—turned on at the right moment and, just as critically, turned off. Lately, however, several lines of research have revealed that low-level inflammation can simmer quietly in the body, in the absence of overt trauma or infection, with profound implications for our health. Using advanced technologies, scientists have discovered that heart attacks, diabetes, and Alzheimer’s disease may be linked to smoldering inflammation, and some researchers have even speculated about its role in psychiatric conditions.

As a result, understanding and controlling inflammation has become a central goal of modern medical investigation. The internal research arm of the National Institutes of Health recently designated inflammation a priority, mobilizing several hundred scientists and hundreds of millions of dollars to better define its role in health and disease; in 2013, the journal Science devoted an entire issue to the subject. This explosion in activity has captured the public imagination. In best-selling books and on television and radio talk shows, threads of research are woven into cure-all tales in which inflammation is responsible for nearly every malady, and its defeat is the secret to health and longevity. New diets will counter the inflammation simmering in your gut and restore your mental equilibrium. Anti-inflammatory supplements will lift your depression and ameliorate autism. Certain drugs will tamp down the silent inflammation that degrades your tissues, improving your health and extending your life. Everything, and everyone, is inflamed.

Such claims aside, there is genuine evidence that inflammation plays a role in certain health conditions. In atherosclerosis, blood flow to the heart or the brain is blocked, resulting in a heart attack or a stroke. For a long time, atherosclerosis was thought to result mainly from eating fatty foods, which clogged the arteries. “Atherosclerosis was all about fats and grease,” Peter Libby, a professor at Harvard Medical School and a cardiologist at Brigham and Women’s Hospital, in Boston, told me recently. “Most physicians saw atherosclerosis as a straight plumbing problem.”

During his cardiology training, Libby studied immunology, and he became fascinated with the work of Rudolf Virchow, a nineteenth-century German pathologist. Virchow speculated that atherosclerosis might be an active process, caused by inflamed blood vessels, not one caused simply by the accumulation of fat. In the mid-nineteen-nineties, in studies with mice, Libby, working in parallel with other groups of scientists, found that low-density lipoproteins—LDLs, those particles of “bad” cholesterol—can work their way into the lining of arteries. There, they sometimes trigger an inflammatory response, which can cause blood clots that block the artery. Libby and others began to understand that atherosclerosis wasn’t a mere plumbing problem but also an immune disease—“our body’s defenses turned against ourselves,” he told me.

Paul Ridker, a cardiovascular expert and a colleague of Libby’s at Harvard and Brigham and Women’s, moved the research beyond the laboratory. He found that many patients who’d had heart attacks, despite lacking factors such as high blood pressure, high cholesterol, and a history of smoking, had an elevated level of C-reactive protein, a molecule produced in response to inflammation, in their blood. After demonstrating, in a separate study, that cholesterol-reducing statins could also reduce C-reactive-protein levels, Ridker launched the Jupiter trial, in which people with elevated levels of C-reactive protein but normal cholesterol levels were given a placebo or a statin medication. In 2008, the published results showed that the subjects who received the statin saw their levels of C-reactive protein drop and were less likely three and a half years later to suffer a heart attack. This suggested that elevated cholesterol isn’t the only factor at work in cardiovascular disease, and that in some cases statins, acting as anti-inflammatory agents, could be used to treat the condition.
The benefit was modest: the statin treatment reduced the risk of heart attack in only about one per cent of the patients. Still, that figure is statistically significant, and for one in every hundred patients—a hundred in every ten thousand—it’s meaningful. An independent safety-monitoring board ended the study early, saying that it was unethical to continue once it was clear that statins provided a benefit not available to the subjects on the placebo. (Critics argue that shortening the trial, which was funded by a drug company, exaggerated the potential benefits and underestimated long-term harm, but the researchers strongly disagree.) The N.I.H. and other scientific groups are funding new studies to further explore whether anti-inflammatory drugs—for example, low doses of immunomodulatory agents that are used for treating severe arthritis—can help prevent cardiovascular disease.
Another chronic condition that has been linked to inflammation is Type II diabetes. People with this condition can’t adequately use insulin, a molecule that enables the body’s cells to take glucose out of the bloodstream and derive energy from it. Their organs fail and glucose builds to dangerous levels in the blood. Recently, researchers have found macrophages in the pancreases of people with Type II diabetes. The macrophages release inflammatory molecules that are thought to impair insulin activity. One of these inflammatory molecules is called interleukin-1, and in 2007 the New England Journal of Medicine reported on a clinical trial in which an interleukin-1 blocker proved to be modestly effective at lowering blood-sugar levels in Type II diabetics. This suggests that, by blocking inflammation, it might be possible to restore insulin activity and alleviate some of the symptoms of diabetes.

Alzheimer’s disease, too, seems to show a link to inflammation. Alzheimer’s results from the buildup of amyloid and tau proteins in the brain; specialized cells called glial cells, which are related to macrophages, recognize these proteins as debris and release inflammatory molecules to get rid of them. This inflammation is thought to further impair the working of neurons, worsening Alzheimer’s. The connection is tantalizing, but it’s important to note that it doesn’t mean that inflammation causes Alzheimer’s. Nor is there strong evidence that inflammation contributes to other forms of dementia where the brain isn’t filled with protein debris. And in clinical trials anti-inflammatory drugs like naproxen and ibuprofen have failed to ameliorate or prevent Alzheimer’s.

 

On September 18, 2015, scientists at the N.I.H. convened a meeting to publicly present their research priorities, one of which is to decipher the consequences of inflammation. It’s increasingly apparent that inflammation plays some role in many health conditions, but scientists are far from grasping the nature of that relationship, the mechanisms involved, or the extent to which treating inflammation is helpful.

“We really don’t know how much inflammation contributes to diabetes, Alzheimer’s, depression, and other disorders,” Michael Gottesman, a director of research at the N.I.H., told me. “We know a lot about the mouse and its immune response. Much, much less is understood in humans. As we learn more, we see how much more we need to learn.” Gottesman pointed out that, of the thousand or so proteins circulating in our bloodstream, about a third are involved in inflammation and in our immune response, so simply detecting their presence doesn’t reveal much about their potential involvement in any particular disease. “Correlation is not causation,” he emphasized. “Because you find an inflammatory protein in a certain disorder, it doesn’t mean that it is causing that disorder.”
This lack of certainty hasn’t dampened the enthusiasm of a growing number of doctors who believe that inflammation is the source of a wide range of conditions, including dementia, depression, autism, A.D.H.D., and even aging. One of the most prominent such voices is that of Mark Hyman, whose books—including “The Blood Sugar Solution 10-Day Detox Diet”—are best-sellers. Hyman serves as a personal health adviser to Bill and Hillary Clinton and to the King and Queen of Jordan. Recently, he was recruited by the Cleveland Clinic with millions of dollars in funding to establish a center based on his ideas. Trained in family medicine, Hyman told me that he considers himself a new type of doctor. “I am a doctor who treats root causes and addresses the body as a dynamic system,” he wrote in an e-mail. “Being an inflammalogist is part of that.”

Studies with human subjects clearly indicate that, in cases where inflammation underlies a chronic condition, the inflammation is local: in the arteries (heart disease); or in the brain (Alzheimer’s); or in the pancreas (diabetes). And though there are associations between various forms of inflammatory disease—for example, people with psoriasis or periodontal disease have a somewhat higher risk of heart disease—it has not been proved that there is a causal connection. Hyman and other doctors, such as the neurologist David Perlmutter, promote a more radical idea: that certain foods and environmental toxins cause smoldering inflammation, which somehow spreads to other areas of the body, including the brain, degrading one’s health, mental acuity, and life span.

The notion of a gut-brain connection seems to derive from studies with mice, including one that showed that introducing a bacterium into a mouse’s gastrointestinal tract led to behavioral changes, such as a reluctance to navigate mazes. But there’s scant evidence that anything similar happens in people, or any rigorous study to show that “anti-inflammatory diets” reduce depression. Earlier this year, the journal Brain, Behavior, and Immunity published a meta-analysis of more than fifty clinical studies that found inflammatory molecules in patients with depression. The paper revealed that there was little consistency from study to study about which molecules correlated to the condition. Steven Hyman, a former director of the National Institute of Mental Health and now the head of the Stanley Center at the Broad Institute (and no relation to Mark Hyman), in Cambridge, Massachusetts, noted that depression is “one of those topics where exuberant theorization vastly outstrips the data.”

Nonetheless, Mark Hyman holds fast to his view. “Inflammation is the final common pathway for pretty much all chronic diseases,” he told me. His recommended solution is an “anti-inflammatory diet”—omitting sugar, caffeine, beans, dairy, gluten, and processed foods, as well as taking a variety of supplements, including probiotics, fish oil, Vitamins C and D, and curcumin, a key molecule in turmeric. Hyman introduced me to one of the patients he had treated with his anti-inflammatory diet and supplements, a forty-seven-year-old hedge-fund manager in Cambridge named Jim Silverman. Two decades ago, Silverman began noticing blood in his stool. A colonoscopy resulted in a diagnosis of ulcerative colitis. In the ensuing years, Silverman was treated by gastroenterologists with aspirin-based medication, anti-inflammatory suppositories, and even corticosteroids, but the problem persisted. Then, five years ago, on a flight home from a business conference, he happened to sit next to Hyman, who told him that he could cure colitis.
“I thought, What a bullshitter,” Silverman said. He travelled anyway to Hyman’s UltraWellness Center, in Lenox, Massachusetts, to consult with him. Hyman told him that dairy was inflaming his bowel. Silverman was skeptical, but he kept track of his diet and bleeding episodes, and ultimately concluded that restricting dairy products resulted in long periods without bleeding. He now thinks that he could be suffering from a dairy allergy. In addition to avoiding dairy products, he continues to follow the anti-inflammatory regimen of supplements prescribed by Hyman. “I’m just taking it because I’m doing well,” he said. “I have no idea if it’s doing anything, but I don’t want to rock the boat.”

I asked Gary Wu, a professor of gastroenterology at the Perelman School of Medicine, at the University of Pennsylvania, and one of the world’s experts on the gut microbiome, about the alleged value of treating inflammatory bowel disease by restricting specific foods. Recently, in the journal Gastroenterology, Wu and his colleagues published a comprehensive review of scientific studies on diet and inflammatory bowel disease. They found only two dietary interventions that had been proved to reduce inflammation: an “elemental diet,” which is a liquid mixture of amino acids, simple sugars, and triglycerides, and a slightly more complex liquid diet. The liquid mixtures are typically administered with a tube placed through the nose. “The diet is not palatable,” Wu said. “And you don’t eat during the day. There is no intake of whole foods at all.”

David Agus, a cancer specialist and a professor of medicine and engineering at the University of Southern California, is equally skeptical of Hyman’s claims for the anti-inflammation diet. Agus, who is perhaps best known for being the doctor on “CBS This Morning,” recently received a multimillion-dollar grant from the National Cancer Institute to study how inflammation may spur the growth of tumors. “This notion that foods cause inflammation and foods can block inflammation, there’s zero data that it changes clinical outcomes,” he told me. “If the idea gets people to eat fruits and vegetables, I love it, but it’s not real.” Agus noted that vitamins don’t counter inflammation, and that it’s been shown, in rigorous clinical trials, that they may increase one’s risk of developing cancer.
Still, Agus views inflammation as a component not only of cancer but also of chronic diseases like diabetes and dementia. Rather than special diets, he supports preventively taking approved anti-inflammatory medications, such as aspirin and statins, and scrupulously scheduling the standard vaccinations in order to prevent infections. In “The End of Illness,” Agus encourages the reader to “reduce your daily dose of inflammation” by, among other things, not wearing high heels, since these can inflame your feet and the inflammation could possibly affect your vital organs. When I pressed him on that suggestion, he told me, “What I meant is that if your feet hurt all day it’s probably not a good thing. The downside is you just wear a different pair of shoes. The upside is it gave you an understanding of inflammation and its role in disease.”

Mark Hyman, at times, acknowledges the possible limits of his paradigm. When I asked him about the alleged link among gut inflammation, diet, and psychological disorders, he conceded that some of his evidence was anecdotal, derived from his own clinical practice. He mentioned the case of a child with asthma, eczema, and A.D.H.D., whom he treated with “an elimination diet, taking him off processed foods, and giving him supplements.” The child’s allergic problems improved and his behavior was markedly better, Hyman said: “It was a light-bulb moment. I saw secondary effects on the brain that came out of treating physical problems.”

He also cited studies of patients with rheumatoid arthritis, a painful and debilitating auto-immune condition that inflames and erodes the joints, who became less depressed after being treated with inflammatory blockers. But had the anti-inflammatory treatment directly lifted their depression, or had their mood improved simply because they were more mobile and in less pain? I told Hyman that it was hard to connect the dots. “For sure,” he said.

 

Connecting the dots is a challenge even for scientists who are actively involved in inflammation research. One afternoon, I visited Ramnik Xavier, the chair of gastroenterology at Massachusetts General Hospital and an expert in Crohn’s disease and ulcerative colitis. The bowel is inflamed in both conditions: ulcerative colitis affects the colon, whereas Crohn’s disease can affect any part of the digestive system. But the nature of inflammation varies almost from person to person and involves interactions among DNA, many kinds of gastrointestinal cells, and the peculiarities of the gut microbiome. “Lots of cells, lots of genes, lots of bugs,” Xavier said.

Xavier, a compact man with a laconic manner and thick black hair marked by streaks of gray, initially studied the role of specialized white blood cells, known as T-cells and B-cells, in defending the body against the development of colitis. Eventually, with Mark Daly, a geneticist at the Broad Institute, Xavier began to search for genes that predispose people to inflammatory bowel disease and for genes that might protect them against it. The two scientists, as part of an international consortium, have identified at least a hundred and sixty areas of DNA that are associated with an increased risk of inflammatory bowel disease; Xavier’s lab has zeroed in on about two dozen genes within these regions of DNA.
One of the frustrations of treating inflammation is that our weapons against it are so imprecise. Drugs like naproxen and ibuprofen are the equivalent of peashooters. At the other extreme, cannon-like steroids shut down the immune system, raising the risk of infection, eroding the bones, predisposing the patient to diabetes, and causing mood swings. Even the peashooters can cause collateral damage: aspirin may help to protect against colon cancer, heart attack, and stroke, but it also raises the risk of gastrointestinal bleeding. Ibuprofen, naproxen, and similar drugs were labelled by the F.D.A. as increasing the risk of heart attack and stroke in people who’ve never suffered either condition, and clinical trials failed to show that they prevent or ameliorate dementia. (Although these drugs reduce inflammation, they may also alter the lining of blood vessels and increase the risk of clots.) Statins lower the chance of a heart attack, but there is growing concern not only about the side effect of muscle pain but also about increasing the likelihood of diabetes. And the absolute benefits of these preventive medications is slight, measured in single digits.

In the lab at the Broad Institute, Xavier and his team were trying to discover new treatments that can block inflammation in a targeted manner. The day I visited, they were assessing molecules associated with colitis, especially one called interleukin-10, or IL-10, which is known to decrease inflammation. In a cavernous room, I watched as a robotic arm moved among racks of plastic plates, each containing hundreds of small wells in which chemical compounds were being tested. Some people with Crohn’s disease have genetic mutations that disable the salubrious effects of IL-10. Xavier is trying to identify molecules that can compensate for this deficiency, in the hope that such molecules might eventually be turned into drugs to treat this subset of patients.

But other patients suffer from a different manifestation of Crohn’s—they can’t fully clear debris from cells in their gut, so it builds up, triggering inflammation. In a neighboring lab, members of Xavier’s research team were trying to develop drugs for that condition, too. A robotic arm was handling plates that contained genetically engineered cells and moving them under a fluorescent microscope. The images appeared on a computer screen—fields of cells studded with yellow and green dots, like the sky in van Gogh’s “Starry Night.”

On another visit, Xavier took me to his clinic at Mass General. Patients, ranging from the very young to the elderly, were reclining in Barcaloungers as nurses and physicians intravenously administered potent anti-inflammatory drugs. Later, I spoke by phone to one of Xavier’s patients, a forty-nine-year-old woman named Maria Ray, who received a diagnosis of colitis in 1998. She was treated with sulfa drugs and corticosteroids, which controlled the problem for several years, but in 2004, after a series of flare-ups, she underwent surgery to remove her colon. Soon after, she developed ulcers on her skin, arthritis of her knees and elbows, and inflammation in both eyes. Xavier prescribed other drugs, and for two years her condition improved, but lately her skin lesions and eye inflammation have returned. “We hoped surgery would cure her ulcerative colitis,” Xavier said. “But we don’t really understand why there is such an overactive immune system now inflaming these other parts of her body.”
At the very least, the fact that Ray has symptoms in many organs, despite the removal of her colon, complicates the simplistic view that treating the gut will suppress inflammation elsewhere. Moreover, there’s no evidence that patients with Crohn’s or colitis are more likely than average to develop dementia and other cognitive disorders. “What we see in mice is not always reproduced in people,” Xavier said.

 

Perhaps no aspect of inflammation is more compelling, or illusory, than the idea that it may be responsible for aging. An internist friend in Manhattan told me that healthy patients occasionally come in to her office carrying Mark Hyman’s books, eager to live longer by following his anti-inflammation life style. When I asked Hyman if he could introduce me to someone who follows his longevity regimen, he readily offered himself. “I’m aiming to live to a hundred and twenty,” he said.

The notion stems from grains of evidence, such as studies that have shown an increase in inflammation with age. The genesis of aging is still a mystery. It may occur for a host of reasons—a waning of the energy generated by the mitochondria within cells, the tendency of DNA to grow fragile and more mutation-prone over time—and it’s much too simplistic to attribute the process to inflammation alone. Luigi Ferrucci, the scientific director of the National Institute on Aging, conducted some of the early research on inflammation and aging, and for a while, he told me, he believed the avenue held promise. On the morning we spoke, he had just finished his daily six-mile run. Sixty-one years old, born in Livorno, on the coast of Tuscany, Ferrucci is an animated man with a stubbly beard who favors crew-neck sweaters. In the past four decades, he has studied thousands of people in order to identify the biological processes that result in aging. He measured scores of molecules in the blood, hoping to find clues that would lead him to the cause of aging’s hallmarks, particularly sarcopenia, or loss of muscle mass, and cognitive decline.

His most illuminating studies involved people in late middle age who showed no sign of heart disease, diabetes, dementia, or other conditions that might be associated with inflammation. He found that a single inflammatory molecule, called interleukin-6, was the most powerful predictor of who would eventually become disabled. Healthy patients with high levels of the IL-6 molecule aged more quickly and grew sicker than those without the inflammatory molecule. “I thought I had discovered the cause of aging and was going to win the Nobel Prize,” Ferrucci said, laughing.
But then he found other subjects with no evidence of inflammation, and without elevated levels of IL-6 or other inflammatory molecules, whose bodies nevertheless began to decline. “We are looking at the layer, not at the core of the problem,” he said. “Inflammation may accelerate aging in some people—but it is a manifestation of something that is occurring underneath.” He reiterated the point that correlation is not causation. “If you have the curiosity of the scientist, you can’t stop there, because you want to know why,” he said. “You want to break the toy so you can see how it’s working inside.”

Toward that end, Ferrucci recently organized a large team of collaborators and launched a new clinical study, GESTALT, which stands for Genetic and Epigenetic Signatures of Translational Aging Laboratory Testing. Groups of healthy people will be studied intensively as they age, with detailed analyses of their DNA, RNA, proteins, metabolic capacity, and other sophisticated parameters, every two years for at least a decade. “Then we can say what mechanisms account for increased inflammation with aging, and the loss of muscle mass, or the loss of memory, or the loss of energy capacity or fitness,” Ferrucci said. “These have never really been addressed on a deep level in humans.”

In the meantime, he sticks to a Mediterranean diet, mainly out of fealty to his heritage. (Ferrucci is known among his N.I.H. colleagues as a gourmet Italian cook.) The media recently gave much attention to a study, published in 2013 in the New England Journal of Medicine, on the benefits of a Mediterranean diet in preventing heart attack or stroke. But, as Ferrucci noted, the benefits weren’t clearly related to inflammation and they accrued to a very small percentage of the subjects on the diet. “Believe me, if there were a diet that prevented aging, I would be on it,” he said.

We’d all like a simple solution for complex medical problems. We’re desperate to feel in command of our lives, particularly as we age and see friends and family afflicted by Alzheimer’s, stroke, and heart failure. “My patients, understandably, are very focussed on the foods they eat, wanting control, hoping they won’t have to take immune-suppressive treatments,” Gary Wu, the University of Pennsylvania gastroenterologist, told me.

Some years ago, I became obsessed with a restrictive diet—no bread, cheese, ice cream, cookies—in an attempt to lower my cholesterol levels. (My father died of a heart attack in his fifties, and I was haunted by his fate.) After nearly six months, I’d lost some fifteen pounds, but my cholesterol level had hardly budged, and I’d become so vigilant about everything I ate that I stopped enjoying meals. Gradually, I resumed a balanced and more reasonable diet and regained an appreciation for one of life’s fundamental pleasures.

Scientists may yet discover that inflammation contributes to disease in unexpected ways. But it’s important to remember, too, that inflammation serves a vital role in the body. “We are playing with one of the primary mechanisms selected by nature to maintain the integrity of our body against the thousand environmental attacks that we receive every day,” Ferrucci said. “Inflammation is part of our maintenance and repair system. Without it, we can’t heal.”

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Drug utilization, safety, and effectiveness of exenatide, sitagliptin, and vildagliptin for type 2 diabetes

Larry H. Bernstein, MD, FCAP, Curator

LPBI

 

 

Drug utilization, safety, and effectiveness of exenatide, sitagliptin, and vildagliptin for type 2 diabetes in the real world: Data from the Italian AIFA Anti-diabetics Monitoring Registry

S. Montilla, G. Marchesini, A. Sammarco, M.P. Trotta, P.D. Siviero, C. Tomino, D. Melchiorri, L. Pani for the AIFA Anti-Diabetes Monitoring Registry
Nutrition Diabetes and Cardiovasc Dis  Dec 2014; 24(12):1346–1353     http://dx.doi.org/10.1016/j.numecd.2014.07.014

Background and aims

In Italy, the reimbursed use of incretin mimetics and incretin enhancers was subject to enrollment of patients into a web-based system recording the general demographic and clinical data of patients. We report the utilization data of glucagon-like peptide 1 (GLP1) receptor agonists and dipeptidylpeptidase-4 (DPP4) inhibitors in clinical practice as recorded by the Italian Medicines Agency (AIFA) Monitoring Registry.

Methods and results

From February 2008 to August 2010, 75,283 patients with type 2 diabetes were entered into the registry and treated with exenatide, sitagliptin, or vildagliptin. The treatment was administered to patients in a wide range of ages (≥75 years, n = 6125 cases), body mass index (BMI) (≥35 kg/m2, n = 22,015), and metabolic control (HbA1c ≥ 11% ((96 mmol/mol), n = 3151). Overall, 1116 suspected adverse drug reactions were registered, including 12 cases of acute pancreatitis (six on exenatide). Hypoglycemic episodes mainly occurred in combination with sulfonylureas. Treatment discontinuation for the three drugs (logistic regression analysis) was negatively associated with the male gender and positively with baseline HbA1c, diabetes duration, and, limitedly to DPP-4 inhibitors, with BMI. Treatment discontinuation (including loss to follow-up, accounting for 21–26%) was frequent. Discontinuation for treatment failure occurred in 7.7% of cases (exenatide), 3.8% (sitagliptin), and 4.1% (vildagliptin), respectively, corresponding to 27–40% of all discontinuations, after excluding lost to follow-up. HbA1c decreased on average by 0.9–1.0% (9 mmol/mol). Body weight decreased by 3.5% with exenatide and by 1.0–1.5% with DPP-4 inhibitors.

Conclusions

In the real world of Italian diabetes centers, prescriptions of incretins have been made in many cases outside the regulatory limits. Nevertheless, when appropriately utilized, incretins may grant results at least in line with pivotal trials.

 

Article Outline

  1. Introduction
  2. Methods
    1. The AIFA Anti-diabetics Monitoring registry
    2. Statistical analysis
  3. Results
    1. Patient population and baseline characteristics
    2. Adverse drug reactions
    3. Treatment switching and discontinuation
    4. Effect on glycemic control and body weight
  4. Discussion
  5. Author contributions
  6. Funding
  7. Guarantor’s name
  8. Conflicts of interest
  9. Appendix A. Supplementary data
  10. Reference

 

A progressive intensification of treatment is mandatory in type 2 diabetes whenever lifestyle intervention fails to maintain metabolic control [1]. All major guidelines agree on administering metformin as the initial treatment, when tolerated and not contraindicated, but there is no consensus on second-line add-on treatment, in the case of unsatisfactory metabolic control. [[2], [3], [4], [5]].

In the past decade, injectable glucagon-like peptide-1 receptor agonists (GLP-1RAs) and orally administered inhibitors of dipeptidylpeptidase-4 (DPP-4Is) entered the diabetes arena [[6], [7]]. Since the initial marketing authorization as add-on therapies, these drugs have been granted extension of indications to include first-line monotherapy and combination with insulin. However, their best place in therapy remains uncertain [8]. In controlled clinical trials, both GLP-1RAs and DPP-4Is, combined with metformin, produce similar improvements in glycemic control as other second-line treatments, with no negative effects on body weight and overall hypoglycemia [[9], [10]]. However, only a few systematic analyses of long-term clinical data are available on large patients’ cohorts [[11], [12]], capturing treatment effects and prescription trends in the community.

In February 2008, the Italian Medicines Agency (AIFA) approved the reimbursed use of exenatide, sitagliptin, and vildagliptin, subject to enrollment of patients into a web-based system to monitor the appropriateness of use, safety profile, and effects on metabolic control and body weight. We report the results of the first 30-month monitoring, as derived from the AIFA Monitoring Registry. Of note, fixed-dose associations of sitagliptin and vildagliptin with metformin were made available along the years; in the present report, their use is considered equivalent to the combination use of the individual compounds. Focus is given to the clinical characteristics of patients, drug safety, and reasons for treatment discontinuation. An analysis of the percentage of patients reaching HbA1c targets over time is also provided, to help clinicians tailor treatment on patients’ characteristics.

Patient population and baseline characteristics

A total of 77,864 records (38,811 on sitagliptin, 21,064 on exenatide, and 17,989 on vildagliptin), corresponding to 75,283 patients, were registered by 3741 diabetes specialists in 1278 centers, either hospital (n = 790) or community based (n = 488), distributed throughout Italy. On average, 16.5/10,000 inhabitants aged ≥18 were included (from 8.2 to 28.8 in different Italian regions).

The patients belonged to a fairly heterogeneous group, including a high proportion of cases scarcely represented in the trials supporting the marketing authorization of the three medicinal products. Over 50% of cases on exenatide and approximately 20% on DPP4-Is had severe obesity (BMI ≥ 35 kg/m2); exenatide patients exhibited higher median HbA1c and a greater percentage of cases with very poor metabolic control (HbA1c ≥ 11%, ≥97 mmol/mol). Elderly patients (≥75 years, n = 6125) constituted approximately 10% of the DPP-4I-treated cases (Table 1A; Supplemental Figure S2).

Table 1ABaseline demographic/clinical data of the population with diabetes enrolled in the AIFA Anti-diabetics Monitoring Registry with glucose-lowering agents.
Exenatide (n = 21,064) Sitagliptin (n = 38,811) Vildagliptin (n = 17,989)
Mean SD Mean SD Mean SD
Age (years) 58.9 9.9 61.7 10.4 61.9 10.4
Duration of diabetes (years) 10.0 15.4 9.1 7.1 8.2 6.5
Body mass index (kg/m2) 36.1 6.8 30.8 5.7 30.5 5.5
Waist circumference (cm) 115.9 14.4 104.6 13.1 104.4 12.6
Fasting glucose (mg/dL) 187.8 49.8 170.8 41.6 171.9 41.1
HbA1c (%) [mmol/mol] 8.8 [73] 1.3 [14] 8.3 [67] 1.1 [12] 8.2 [66] 1.1 [12]
Fasting C-peptide (ng/mL) 3.2 1.6 3.0 1.6 3.3 1.7
N % N % N %
Male gender 10,109 48.0 20,446 52.7 9741 54.1
Age > 75 years 723 3.4 3666 9.4 1736 9.7
BMI > 35 10,835 51.4 7870 20.3 3300 18.3
HbA1c > 11% (>97 mmol/mol) 1496 7.1 1139 2.9 516 2.9

Metformin was the background therapy in most cases, with/without concomitant sulfonylureas. Glitazones were rarely used, reflecting the Italian market. Monotherapy with sitagliptin was registered in <1% of cases (Table 1B).

Table 1BAssociation with other glucose-lowering agents.
Exenatide

(n = 21,064)

Sitagliptin

(n = 38,811)

Vildagliptin

(n = 17,989)

N % N % N %
No associationa 0 0 3.87 0.1 0
Metformin 10,691 50.8 25,116 64.7 15,289 85
Sulfonylureas 1323 6.3 1843 4.7 2062 11.5
Sulfonylureas + metformin 9050 43.0 9824 25.3 a a
Glitazones a a 1624 4.2 638 3.5
Repaglinide 1450 6.9 276 0.7 a a
Acarbose 260 1.2 225 0.5 72 0.4

In individual cases, background therapy could vary in the course of the observation. Please note that patients could be treated with more than one active principle; therefore, the sum of the percentages of cases may exceed 100%.

aOff-label according to marketing authorization.
Adverse drug reactions

During the 30-month observation period, 1116 ADRs were registered. The median time to ADR was 2.06, 2.85, and 3.87 months on exenatide, sitagliptin, and vildagliptin, respectively. Complete and partial recovery was observed in 717 and 179 cases, respectively; 103 cases did not recover, and late complications were registered in 13. No follow-up was available in 102 cases and two patients died. ADRs did not lead to treatment discontinuation only in 90 cases; after stopping the treatment, drug use was restarted in 100 cases.

ADRs were classified as severe in 77 cases (6.9%), particularly with exenatide (six acute pancreatitis, seven vomiting/nausea, and four renal failures, corresponding to an IR of 0.334, 0.390, and 0.223/1000 person-years, respectively) (Table 2). Three cases of acute pancreatitis occurred on sitagliptin and three more on vildagliptin (IRs: 0.097 and 0.221/1000 person-years, respectively). In addition, non-severe pancreatitis/elevated pancreatic enzymes were recorded in 48 cases (19 with exenatide, 16 with sitagliptin, and 13 with vildagliptin).

Table 2List of all severe ADRs and corresponding IR (in 1000 person-years) reported in the AIFA Anti-diabetics Monitoring Registry.
Event Exenatide Sitagliptin Vildagliptin
No. IRa 95% CI No. IRa 95% CI No. IRa 95% CI
Acute pancreatitis 6 0.334 (0.157–0.650) 3 0.097 (0.035–0.234) 3 0.221 (0.080–0.533)
Vomiting/nausea 7 0.390 (0.192–0.727) 1 0.032 (0.008–0.119) 0 (0.000–0.185)
Renal failure 4 0.223 (0.090–0.488) 0 (0.000–0.081) 1 0.074 (0.018–0.272)
Colon cancer 1 0.056 (0.013–0.205) 2 0.065 (0.020–0.180) 1 0.074 (0.018–0.272)
Epileptic convulsions 2 0.111 (0.034–0.310) 0 (0.000–0.081) 0 (0.000–0.185)
Abdominal pain 2 0.111 (0.034–0.310) 0 (0.000–0.081) 0 (0.000–0.185)
Severe hypoglycemia 1 0.056 (0.013–0.205) 1 0.032 (0.008–0.119) 0 (0.000–0.185)
Pneumonia 0 (0.000–0.140) 2 0.065 (0.020–0.180) 0 (0.000–0.185)
Breast cancer 1 0.056 (0.013–0.205) 2 0.065 (0.020–0.180) 0 (0.000–0.185)
Visual loss 0 (0.000–0.140) 1 0.032 (0.008–0.119) 0 (0.000–0.185)
Colon adenoma 0 (0.000–0.140) 0 (0.000–0.081) 1 0.074 (0.018–0.272)
Anaphylactic reaction/shock 1 0.056 (0.013–0.205) 1 0.032 (0.008–0.119) 0 (0.000–0.185)
Anemia 0 (0.000–0.140) 0 (0.000–0.081) 1 0.074 (0.018–0.272)
Cardiac failure 1 0.056 (0.013–0.205) 0 (0.000–0.081) 0 (0.000–0.185)
Atrioventricular block 1 0.056 (0.013–0.205) 0 (0.000–0.081) 0 (0.000–0.185)
Renal carcinoma 2 0.111 (0.034–0.310) 0 (0.000–0.081) 0 (0.000–0.185)
Cervix carcinoma 1 0.056 (0.013–0.205) 0 (0.001–0.081) 0 (0.000–0.185)
Coronary disease/Infarction 2 0.111 (0.034–0.310) 0 (0.000–0.081) 0 (0.000–0.185)
Cholecystitis 0 (0.000–0.140) 0 (0.000–0.081) 1 0.074 (0.018–0.272)
Cholestasis 0 (0.000–0.140) 1 0.032 (0.008–0.119) 0 (0.000–0.185)
Acute dermatitis 1 0.056 (0.013–0.205) 0 (0.000–0.081) 1 0.074 (0.018–0.272)
Gastric hemorrhage 0 (0.000–0.140) 1 0.032 (0.008–0.119) 0 (0.000–0.185)
Abdominal hernia 1 0.056 (0.013–0.205) 0 (0.000–0.081) 0 (0.000–0.185)
Atrial fibrillation 1 0.056 (0·013–0.205) 0 (0.000–0.081) 0 (0.000–0.185)
Liver dysfunction 0 (0.000–0.140) 0 (0.000–0.081) 2 0.147 (0.046–0.411)
Acute gastroenteritis 1 0.056 (0.013–0.205) 0 (0.000–0.081) 0 (0.000–0.185)
Congestive gastropathy 1 0.056 (0.013–0.205) 0 (0.000–0.081) 0 (0.000–0.185)
Ictus/cerebral hemorrhage/ischemia 1 0.056 (0.013–0.205) 1 0.032 (0.008–0.119) 1 0.074 (0.018–0.272)
Leukemia/lymphoma 0 (0.000–0.140) 2 0.065 (0.020–0.180) 1 0.074 (0.018–0.272)
Urticaria 2 0.111 (0.034–0.310) 0 (0.000–0.081) 0 (0.000–0.185)
Bladder cancer 0 (0.000–0.140) 0 (0.000–0.081) 1 0.074 (0.018–0.272)
Pericardial effusion 0 (0.000–0.140) 1 0.032 (0.008–0.119) 0 (0.000–0.185)
Gastric ulcer 1 0.056 (0.013–0.205) 0 (0.000–0.081) 0 (0.000–0.185)
Other 2 0.111 (0.034–0.310) 1 0.032 (0.008–0.119) 0 (0.000–0.185)
Total 43 2.397 (1.7813.162) 20 0.645 (0.4210.960) 14 1.034 (0.6191.639)
aIncidence rate (IR) = # event (N)/person-time at risk (T).

Hypoglycemic episodes were reported in 1085 exenatide-treated patients, 608 on sitagliptin, and 207 on vildagliptin, with IRs of 20.6, 6.3, and 4.6/1000 person-years, respectively. Sulfonylureas, either alone or combined with metformin, increased the risk of hypoglycemia. The RR during add-on to sulfonylureas, compared with add-on to metformin, was 2.96 (95% confidence interval (CI), 2.33–3.50) on exenatide, 2.99 (95% CI, 2.45–3.64) on sitagliptin, and 1.84 (95% CI, 1.20–2.69) on vildagliptin. In add-on to sulfonylurea + metformin, the RRs further increased to 3.76 (95% CI, 3.24–4.36) and 2.94 (95% CI, 2.39–3.61) for exenatide and sitagliptin, respectively (not authorized for vildagliptin).

……………..

Effect on glycemic control and body weight

On exenatide, absolute HbA1c decreased on average by 0.99% (0.9 mmol/mol) and body weight by 3.5% from baseline to the last available follow-up. The corresponding variations for sitagliptin and vildagliptin were −0.88% and −0.94% (0.8–0.9 mmol/mol) for HbA1c, and around −1.0% for body weight. The probability of reaching the HbA1c target of 7% (53 mmol/mol) or the secondary target of 8% (64 mmol/mol), after 3–4 or 8–9 months, decreased rapidly with increasing baseline HbA1c, with <20% probability for baseline values >9% (>75 mmol/mol) (Fig. 1). The number of cases at target with baseline HbA1c >11% was much lower for sitagliptin and vildagliptin than for exenatide, and the confidence interval of the estimate much larger.

Thumbnail image of Figure 1. Opens large image

Figure 1

Probability of achieving the targets of metabolic control (HbA1c <7%, lower lines; <8%, upper lines) at 3–4 months (continuous lines) or 8–9 months (broken lines) as function of entry HbA1c values.

In the subset of centers compliant to follow-up, the probability of achieving the desired target was not dependent on age or BMI, but it was inversely related to baseline HbA1c and to the use of incretin mimetics/DPP-4Is as third-line therapy. The add-on to metformin and treatment duration (not on vildagliptin) increased the probability of reaching the target (Supplementary Table 2).

The AIFA Monitoring Registry of exenatide, sitagliptin, and vildagliptin, collecting data on the use, safety, and effectiveness of incretin mimetics/DPP-4Is, represents a significant step forward in the post-marketing evaluation of new or innovative medicines.

The safety profiles of exenatide, sitagliptin, and vildagliptin in Italian clinical practice were similar to those recorded in registration trials and recently reviewed [12]. Although favored by online registration, the total number of ADRs was relatively low – but much higher than that usually observed in post-marketing surveillance – despite the old age of the population, and no unexpected ADRs were registered, with only one case of heart failure with DPP-4Is [13]. The decision of the regulatory Italian Agency (AIFA) to limit the reimbursement of incretin-based therapies to diabetes specialists in a well-defined monitoring system might have favored an accurate selection of patients also in the community setting, limiting adverse reactions.

Two ADRs are of particular significance: pancreatitis and hypoglycemia. The association of exenatide and sitagliptin with pancreatitis was documented since 2006 and prompted close monitoring [[14], [15]]. Later, the potential risk appeared to be increased by diabetes per se; post-approval studies have documented cases associated with incretin use, but a causal relationship between treatment and pancreatitis was neither proved nor excluded [[16], [17], [18], [19], [20]]. In the registry, a few additional reports of non-severe pancreatitis or simply raised levels of pancreatic enzymes were also recorded, without differences between drugs. When these non-adjudicated ADRs were summed up to severe pancreatitis, the total incidence of pancreatic events was in the range reported in the general population with diabetes and should be considered in the context of the notoriety bias generated by alerts. A 2013 comprehensive review of preclinical and clinical data on pancreatic safety by the European Medicines Agency concluded that the concerns on the risk of pancreatitis should not be minimized [21]. Later, the publication of two large cardiovascular outcome DPP-Is trials [[13], [22]] and epidemiological data [23] stifled the debate; a 2014 joint Food and Drug Administration (FDA)–European Medicines Agency (EMA) assessment concluded with a low-risk [24] but suggested continuous capture of data.

As expected, exenatide and DPP4-I add-ons to metformin were accompanied by low rates of hypoglycemia [25]. On the contrary, a two-to threefold increase in hypoglycemia was observed in combination with sulfonylureas, both with and without metformin, but very few cases were recorded as severe ADRs, requiring hospital admission. These data are in keeping with registration studies and with recent clinical trials showing that DPP4-Is are associated with very low rates of hypoglycemia when combined with metformin [26], despite similar or only moderately inferior glucose-lowering efficacy compared to sulfonylureas.

The analysis of discontinuation rates and metabolic effects may give hints for an appropriate use of these drugs in the community. This approach seems sound, as confirmed by a sensitivity analysis in a subset of selected centers with adherence to follow-up ≥80% (Supplementary Tables 1 and 2). As expected, the discontinuation rates of all drugs increased systematically with higher baseline HbA1c. They also increased with age for exenatide, not for gliptins, indicating a preferential use of oral agents in elderly subjects for whom a less strict metabolic target may be preferred [[3], [4], [27]]. On the contrary, weight loss might be the reason for the lower discontinuation rates of exenatide with increasing BMI, despite injections and higher baseline HbA1c.

Two subpopulations, with limited safety data in registration studies, deserve particular attention. The AIFA Registry included many patients aged ≥70; in a few of them, gastrointestinal symptoms associated with exenatide were the precipitating factors of acute renal failure, a side effect to be considered in frail patients. DPP-4Is were demonstrated to be safe in a meta-analysis on patients aged ≥65, as well as in a systematic review, and vildagliptin was shown to be effective and safe also in subjects with diabetes aged ≥75 [[6], [9],[27]]. Future analyses of the elderly Italian cohort will throw light on the efficacy of DPP-4I in the elderly. Similarly, the very large group with morbid obesity in the AIFA Registry will offer a unique opportunity to test the effects of incretin-based therapies in these patients, where metabolic control remains difficult and the use of insulin may be critical, because it further increases body weight.

In our database, the effectiveness of incretin-based add-on therapies on HbA1c and body weight was similar to that reported in a review of head-to-head trials [28], but these results should be taken with caution, considering that the high rate of L-FUs inflates effectiveness. HbA1c was reduced on average by 0.9–1.0% (9 mmol/mol) in the general dataset, also in relation to HbA1c at baseline, with much larger effects in subjects with poor metabolic control. In the AIFA Registry, exenatide and DPP-4Is were also prescribed to subjects with very poor metabolic control, above the levels where insulin is recommended by international guidelines [4]. Such prescribing approach may be explained by the opportunity to test these new drugs across the whole spectrum of disease, or as an extreme attempt before prescribing insulin. Fig. 1 provides an immediate picture of the possibility of attaining specific HbA1c targets with incretin-based therapies in clinical practice, emphasizing the predictive value of baseline metabolic control. This figure may help clinicians forecast the results of treatment in their next patient, as modulated by other variables (i.e., age, BMI, diabetes duration, and background treatment), as reported in Supplementary Table 2. The observation that several patients with HbA1c in the range 9–11% (75–97 mmol/mol) may reach an acceptable metabolic control with a low incidence of adverse reactions, including hypoglycemic events, is clinically relevant. Drug effectiveness should always be considered in the context of existing therapies [29], safety, cost, therapeutic inertia [30], and the beneficial effects of intensive lifestyle counseling, which remains mandatory at any step of intensified treatment. Notably, in frail patients, a patient-centered approach and progressively less challenging targets are proposed by international guidelines, to avoid the risk of adverse events. [4].

Our study presents limitations and strengths. First, the major limitation is an observation period of only 30 months, too short to draw definite conclusions on long-term efficacy (i.e., effects on diabetic complications). Second, due to its observational nature, baseline differences, and high rates of L-FU, any comparisons of safety, discontinuation, and effect on metabolic and weight control among the three drugs should be made with extreme caution. Third, given the purpose of the AIFA Registry, there was no comparator-treated group. Conversely, the main strength is the very large and heterogeneous diabetes cohort, including the complete dataset from an entire European nation, where drugs were used under strict regulatory access, requiring online registration for reimbursement.

In conclusion, data on the compliance, safety, and effectiveness of incretin-based therapies derived from the AIFA Registry, while not capturing any new safety signal, provide a comprehensive framework for health-care providers to regulate the use of these drugs in the community. These data might be useful to address several important points, including the independent effect of baseline HbA1c on its decline, the safety and effectiveness in subjects with diabetes over 75, and the effectiveness of incretins – also including liraglutide and saxagliptin from August 2010 – in the large cohort of obese subjects with BMI >35. These analyses will be carried out when the monitoring data will be available in the new and updated in-house web platform currently being developed. Whenever effective strategies of lifestyle changes preliminary to any further step in treatment intensification fail, the implementation of new treatments, including incretin-based therapies, should be dictated by solid data on long-term safety and effectiveness in the context of available drugs for type 2 diabetes, favoring a patient-centered approach. [4].

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HDL oxidation in type 2 diabetic patients

Larry H. Bernstein, MD, FCAP, Curator

LPBI

 

 

 

 

High-density lipoprotein oxidation in type 2 diabetic patients and young patients with premature myocardial infarction

G. SartoreaR. SeragliabS. Burlinaa, , A. BolisaR. MarinaE. ManzatoaE. RagazzicP. TraldibA. Lapollaa
N
utr Metab Cardiovasc Dis April 2015; 25(4): 418–425       http://dx.doi.org:/10.1016/j.numecd.2014.12.004

Highlights

•  Oxidative damage can generate dysfunctional HDL reducing its anti-atherogenic role.
•  Increased MetO levels in ApoA-I in patients with premature MI and in type 2 DM.
•  An increase in MetO levels in ApoA-I could result in HDL dysfunction.

 

Background and aims

ApoA-I can undergo oxidative changes that reduce anti-atherogenic role of HDL. The aim of this study was to seek any significant differences in methionine sulfoxide (MetO) content in the ApoA-I of HDL isolated from young patients with coronary heart disease (CHD), type 2 diabetics and healthy subjects.

Methods and results

We evaluated the lipid profile of 21 type 2 diabetic patients, 23 young patients with premature MI and 21 healthy volunteers; we determined in all patients the MetO content of ApoA-I in by MALDI/TOF/TOF technique. The typical MALDI spectra of the tryptic digest obtained from HDL plasma fractions all patients showed a relative abundance of peptides containing Met112O in ApoA-I in type 2 diabetic and CHD patients. This relative abundance is given as percentages of oxidized ApoA-I (OxApoA-I). OxApoA-I showed no significant correlations with lipoproteins in all patients studied, while a strong correlation emerged between the duration of diabetic disease and OxApoA-I levels in type 2 diabetic patients.

Conclusions

The most remarkable finding of our study lies in the evidence it produced of an increased HDL oxidation in patients highly susceptible to CHD. Levels of MetO residues in plasma ApoA-I, measured using an accurate, specific method, should be investigated and considered in prospective future studies to assess their role in CHD.

 

No more than 25% of the risk of coronary heart disease (CHD) can be explained by known risk factors, despite their high prevalence [1].

High-density lipoprotein (HDL) protects artery wall from atherosclerosis, in particular they remove excess cholesterol from artery wall macrophages and carries it back to the liver for excretion in bile [2]. Apolipoprotein A-I (ApoA-I) is the main protein of HDL and it plays a crucial part in the first cholesterol transport reversal step by enhancing sterol efflux from macrophages [3].

Epidemiological studies have demonstrated that plasma HDL independently predict the risk of developing atherosclerosis and cardiovascular disease [4]. More recently, however, it has emerged that HDL quality also seems to be an important parameter in atheroprotection, though there is little data in the literature to support it [5].

An increasing body of evidence shows that HDL isolated from atheromas and the plasma of patients with established CHD lacks these anti-atherogenic properties [6]. HDL can be functionally deficient in populations at high risk of CHD, as in type 2 diabetes mellitus, due to glycation and oxidative changes in their HDL, apolipoproteins, and/or enzymes[7].

ApoA-I in particular can undergo oxidative changes that reduce its anti-atherogenic role[8]. Oxidation of the Tyr and Met residues in ApoA-I by myeloperoxidase drastically impairs the protein’s ability to promote cholesterol efflux via the ABCA1 pathway [9]. Levine and colleagues [10] suggested that Met residues in protein serve as endogenous antioxidants, protecting functionally important amino acids against oxidation. In ApoA-I in particular, Met86 and Met112 are thought to be important for cholesterol efflux, and Met148is believed to be involved in LCAT activation [11].

Brock et al. recently examined the extent and sites of methionine sulfoxide (MetO) formation in the ApoA-I of HDL isolated from the plasma of healthy controls and type 1 diabetic subjects, demonstrating that MetO formation was significantly greater in diabetic patients than in a control group at all three sites considered (Met86, Met112, and Met148)[12].

Considering the relevant role of HDL oxidation in the onset of atherosclerotic processes, we ran a pilot study on a small group of type 2 diabetic patients and young people prematurely experiencing acute myocardial infarction (MI): in both these groups we found higher levels of Met112O than in healthy controls [13]. That investigation was carried out by microfluidic-LC/ESI-MS measurements. In a further study the determination of MetO content of ApoA-I in type 2 diabetic patients was performed by MALDI/MS [14] and the results obtained perfectly overlap those achieved in the previous LC/MS investigation. These results proved that possible oxidation phenomena, sometimes observed in MALDI conditions [15], are in this case absent.

The aim of this study was to assess larger study groups to seek any significant differences in MetO between patients with premature MI, type 2 diabetics and healthy subjects, and to identify any correlations with these individuals’ lipoproteins. A secondary aim was to see whether the duration of the diabetic patients’ disease correlated with HDL oxidation.

MALDI/MS

MALDI/time of flight (TOF) and MALDI/TOF/TOF measurements were performed using a MALDI/TOF/TOF UltrafleXtreme instrument (Bruker Daltonics, Bremen, Germany), equipped with a 1 kHz smartbeam II laser (λ = 355 nm) and operating in the positive reflectron ion mode. The instrumental conditions were: IS1 = 25 kV; IS2 = 21.65 kV; reflectron potential = 26.3 kV; delay time = 0 nsec. The matrix was α-cyano-4-hydroxycinnamic acid (HCCA) (saturated solution in H2O/acetonitrile (50:50; v/v) containing 0.1% TFA). Five μL of purified tryptic digest and 5 μL of matrix solution were mixed together, then 1 μL of the resulting mixture was deposited on the stainless steel sample holder and allowed to dry before placing it in the mass spectrometer. External mass calibration (Peptide Calibration Standard) was based on monoisotopic values of [M+H]+ of angiotensin II, angiotensin I, substance P, bombesin, ACTH clip [1], [2], [3], [4],[5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16] and [17], ACTH clip (18–39), somatostatin 28 at m/z 1046.5420, 1296.6853, 1347.7361, 1619.8230, 2093.0868, 2465.1990 and 3147.4714. TOF/TOF experiments were performed using the LIFT device in the following experimental conditions: IS1: 7.5 kV; IS2: 6.75 kV; Lift1: 19 kV; Lift2: 3.7 kV; Reflector1: 29.5 kV; delay time: 70 ns.

Table 1 shows the demographic and clinical characteristics of patients and controls. The three groups were matched for age and smoke; the controls and diabetics were also matched for gender, while the premature MI group consisted almost entirely of men, with only one female patient. Type 2 diabetic patients were not in a situation of good metabolic control, their HbA1c levels being a mean 8.22 ± 0.84% and their FPG 156.7 ± 29.7 mg/dl.

Table 1.Clinical characteristics of type 2 diabetic patients, young patients with premature CHD and controls. Data are expressed as mean ± standard deviation. To assess statistical differences between groups, ANOVA followed by Tukey’spost-hoc test was used. ●●● p < 0.001; ●● p < 0.01; ● p < 0.05; ns: not significant;:not applied. Abbreviations: FPG = fasting plasma glucose; TC = total cholesterol; LDL = low-density lipoprotein; HDL = high-density lipoprotein; OxApoAI = oxidized Apolipoprotein AI; MI = myocardial infarction.

Control subjects (C)
(n = 21)
CHD patients (CHD)
(n = 23)
Type 2 diabetic patients (D)
(n = 21)
P


C vsCHD CvsD CHDvs D
Gender (M/F) 6/15 22/1 10/11
Age (yrs) 41.4 ± 2.8 40.7 ± 3.4 51.8 ± 3.5 ns ns ns
Diabetes duration (yrs) 8.5 ± 3.9
FPG (mg/dl) 83.5 ± 4.8 89.1 ± 7.4 156.7 ± 29.7 ns ●●● ●●●
HbA1c (%) 5.2 ± 0.2 5.3 ± 0.2 8.2 ± 0.8 ns ●●● ●●●
TC (mg/dl) 203.2 ± 33.3 205.3 ± 26.3 203.2 ± 37.0 ns ns ns
LDL (mg/dl) 117.5 ± 30.6 143.7 ± 24.7 118.3 ± 30.6 ●● ns
HDL (mg/dl) 68.7 ± 11.2 38.3 ± 10.4 49.7 ± 14.0 ●●● ●●● ●●
Triglycerides (mg/dl) 85.4 ± 21.6 146.3 ± 55.9 178.0 ± 91.8 ●● ●●● ns
ApoA1 (mg/dl) 148.2 ± 31.3 117.2 ± 14.5 128.9 ± 14.7 ns
OX ApoA1 (%) 1.7 ± 1.3 4.8 ± 2.6 10.6 ± 5.3 ●●● ●●●
MI (no/yes) 21/0 0/23 21/0
Statin therapy (yes/no) 0/21 23/0 18/3 ns
Anti-platelet agents (yes/no) 0/21 23/0 17/4 ns
Antihypertensive drugs (yes/no) 0/21 23/0 20/1 ns
Smokers (yes/no/ex) 4/15/2 5/16/2 6/14/1 ns ns ns

The three groups had similar total cholesterol levels. The group of patients with a premature MI had the highest levels of LDL cholesterol and the lowest levels of HDL cholesterol. Their triglycerides were also higher than in the healthy controls, but lower than in the diabetic patients.

Characterization of Met112 and Met112-O containing peptides

The typical MALDI spectra of the tryptic digest obtained from HDL plasma fractions of healthy subjects, diabetics and CHD patients are given in Fig. 1. MS/MS experiments performed on the two ions at m/z 1283.6 and 2645.4 showed that the sequences of the corresponding peptides are W108QEEM112ELYR and V97QPYLDDFQKKWQEEM112ELYR, both of which contain the methionine residue in position 112 (Met112). Looking at selected regions of the spectra related to the two above-mentioned ions, some differences appear between the healthy controls vs the diabetic patients and CHD patients. In the case of the diabetics and CHD patients, the two peaks at m/z 1299 and 2661 become more evident than those detected in the case of healthy subjects. These two peptides, differing from the above-described species by 16 Da, can be justified by the presence of the previously-mentioned peptides containing a Met112O moiety (see Fig. 2). MS/MS experiments performed on these two ions confirms this hypothesis, based on the presence of a fragment ion due to the loss of CH3SOH. This result confirms that oxidation occurs at Met112 in both the peptides. The above-described relative abundance of peptides containing Met112O- and Met112 was ascertained for all samples. The percentages of OxApoA-I were calculated dividing the sum of the abundances of the peaks at m/z 1299 and 2661 (originating from oxidation of Met112) to the sum of the abundances of the four peaks of interest: the results so obtained are shown in Table 1. Both the diabetic and the CHD patients showed significantly higher OxApoA-I levels than controls. We did not observe any significant correlation between the levels of ApoA-I and OxApoA-I in all groups (controls: r = −0.031; diabetics: r = 0.092; CHD patients: r = 0.20, respectively).

The typical MALDI spectra of the tryptic digest obtained from HDL plasma ...
Figure 1.

The typical MALDI spectra of the tryptic digest obtained from HDL plasma fractions of healthy subjects, diabetic and CHD patients.

Expanded view (A: m/z 1283–1299; B: m/z 2635–2690) of the MALDI mass spectra of ...
Figure 2.

Expanded view (A: m/z 1283–1299; B: m/z 2635–2690) of the MALDI mass spectra of tryptic digests from healthy subjects, diabetic patients and CHD patients.

It is to underline that the possible ex-vivo oxidation of methionine residue was checked analyzing the lyophilized HDL samples after two and four months of storage at −30 °C. No significant variation in the content of Met112O was observed, indicating that ex-vivo oxidation is inhibited at storage temperature.

Correlations

OxApoA-I showed no significant correlations with lipoproteins, while there were inverse significant correlations between HDL cholesterol and triglycerides in both the diabetic and the CHD patients (p < 0.02), but not in the healthy controls, as shown in Table 2. No correlation emerged between the OxApoA-I and HbA1c levels in the diabetic patients (r = 0.0344).

Table 2.Linear correlation between oxidized ApoA-I (Ox-ApoA-I) and serum cholesterol in the three groups of patients. Data are the Pearson product–moment correlation coefficient (Pearson’s r) with the lower and upper 95% confidence intervals (in parentheses).*p < 0.02.

Correlation between variables Control subjects, n = 21
(Lower and upper 95% C.I.)
CHD patients, n = 23
(Lower and upper 95% C.I.)
Diabetic patients, n = 21
(Lower and upper 95% C.I.)
Ox-ApoA-1 vs total cholesterol 0.3757
(−0.0669 ÷ 0.6947)
0.0519
(−0.3681 ÷ 0.4544)
−0.3287
(−0.6659 ÷ 0.1200)
Ox-ApoA-1 vs LDL-cholesterol 0.3557
(−0.0897 ÷ 0.6826)
−0.1688
(−0.5432 ÷ 0.2616)
−0.3193
(−0.6600 ÷ 0.1303)
Ox-ApoA-1 vs HDL-cholesterol 0.0745
(−0.3690 ÷ 0.4904)
0.3130
(−0.1139 ÷ 0.6423)
0.0839
(−0.3608 ÷ 0.4976)
Ox-ApoA-1vs triglycerides 0.1965
(−0.2570 ÷ 0.5790)
0.0434
(−0.3755 ÷ 0.4476)
−0.1953
(−0.5782÷0.2581)
Triglycerides vs HDL-cholesterol −0.3973
(−0.7076 ÷ 0.0415)
−0.4898*
(−0.7505 ÷ −0.0972)
−0.5413*
(−0.7887 ÷ −0.1431)

In order to evaluate with a more integrated approach the presence of interrelationships among variables, the non-parametric technique of PCA was considered. The analysis was extended to the three groups as a whole, in order to check any distribution among the individuals, and the respective role of the considered variables. As the biplot of Fig. 3shows, it was confirmed the previously found lack of any relationship between the OxApoA-I levels and HDL cholesterol or triglycerides, and it was confirmed also the presence of an inverse correlation between HDL cholesterol or triglycerides; moreover, from this analysis a strong direct correlation between the duration of diabetic disease and OxApoA-I levels emerged.

In order to evaluate with a more integrated approach the presence of interrelationships among variables, the non-parametric technique of PCA was considered. The analysis was extended to the three groups as a whole, in order to check any distribution among the individuals, and the respective role of the considered variables. As the biplot of Fig. 3shows, it was confirmed the previously found lack of any relationship between the OxApoA-I levels and HDL cholesterol or triglycerides, and it was confirmed also the presence of an inverse correlation between HDL cholesterol or triglycerides; moreover, from this analysis a strong direct correlation between the duration of diabetic disease and OxApoA-I levels emerged.

Biplot of the first two principal components (PC1 and PC2) obtained by PCA ...
Figure 3.

Biplot of the first two principal components (PC1 and PC2) obtained by PCA conducted on the most representative variables from diabetic patients, CHD patients and controls.

In the present, small cross-sectional study, our data analyses support the impression that the atheroprotective effect of HDL may be deficient in patients experiencing a premature MI and in cases of type 2 DM, both models of accelerated atherosclerosis [23]. This HDL dysfunction could be due to an increase in MetO levels in ApoA-I. We demonstrated, not only that type 2 diabetic patients and young patients with premature acute MI share the same ApoA-I oxidation, but also and more importantly they both have a greater HDL oxidation than controls, irrespective of their HDL levels. This feature was recently observed in type 1 diabetic patients compared with healthy controls, and it may contribute to an accelerated atherosclerosis [12]. These findings provide a new clinical perspective compared to preliminary results obtained by microfluidic-LC/ESI-MS [13], this time using an alternative technique (MALDI/MS), that makes the analysis far less time-consuming, as we previously showed in type 2 diabetic patients and healthy controls [14]. Our group of type 2 diabetic patients showed no signs of CHD despite their more severely oxidized HDL. We surmise that they offset the higher levels of oxidized HDL with higher levels of HDL, so the ratio of HDL to oxidized HDL might be a better marker of CHD than low HDL levels. Unfortunately, since our method only allowed for a semiquantitative assessment of the oxidation of the above-described peptides, these data cannot be used to calculate the HDL/oxidized-HDL ratio.

It is worth noting that no correlation emerged between MetO levels in ApoA-I and HbA1c, indicating that ApoA-I oxidation appears unrelated to the degree of glycemic control. This finding is in agreement with previous observations that have shown no correlation between glyco-oxidation products, such as glyoxal and methylglyoxal, which better represent the real glyco-oxidative stress experienced by patients [24].

On the other hand, our data suggest that duration of disease might be the parameter most closely related to MetO levels in ApoA-I in type 2 diabetes. In this contest, the antioxidant system could play an important part in the onset of cardiovascular complications by counter-regulating the increased oxidative stress, as we found in various phenotypes of type 2 diabetic patients with and without micro- and macrovascular complications [25] and [26]. Several studies have also demonstrated that decreased levels of antioxidants favor cardiovascular disease in subjects without diabetes [27]. As regards our data on HDL oxidation, we hypothesized that the increase of Apo-AI oxidation could be due to the decreased levels of antioxidant defenses that characterized type 2 diabetic patients with long duration of disease and patient with premature MI. Recent observations, in fact, showed that serum myeloperoxidase/paraoxonase 1 ratio is a potential indicator of dysfunctional HDL and risk stratification in CHD [28]. At the end HDL oxidation process could be partially independent from oxidative stress burden, but affected by decreased antioxidant capacity.

As for the higher triglyceride levels found in our type 2 DM and CHD patients, we surmise that hypertriglyceridemia could be a prognostic marker even in young patients with premature MI, irrespective of other cardiovascular risk factors, as previously reported[29]. Both our groups of patients showed a strong inverse relationship between their HDL and triglyceride levels, a situation typical of insulin resistance and found associated with MI occurring before 40 years of age [30].

As regards LDL cholesterol, we found the highest level in young CHD patients who were all in statin therapy. Considering the very short period of statin therapy and knowing that to reach the full effect it needs at still a month, CHD patients showed LDL cholesterol levels not still at target. On the other side, statin therapy hardly have had an impact on the oxidation of HDL. In any case statin protective effect on the oxidation strengthen our conclusions.

All these quantitative and qualitative lipoprotein features (higher oxidized HDL, higher triglycerides and lower HDL levels) suggest the feasibility of characterizing patients at high risk of CHD in terms of their lipid profile, as illustrated in the integrated biplot ofFig. 3.

In conclusion, the most remarkable finding of our study lies in the evidence it produced of an increased HDL oxidation in patients highly susceptible to CHD. Levels of MetO residues in plasma ApoA-I, measured using an accurate, specific method, should be investigated and considered in prospective future studies in order to assess their possible role as a novel risk factor – and eventually as a therapeutic target – to reduce the burden of cardiovascular complications.

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Dipeptydil peptidase-4 inhibitors in type 2 diabetes

Larry H. Bernstein, MD, FCAP, Curator

LPBI

 

 

Dipeptydil peptidase-4 inhibitors in type 2 diabetes: A meta-analysis of randomized clinical trials

M. Monami, I. Iacomelli, N. Marchionni, E. Mannucci
Unit of Geriatric Medicine, Department of Critical Care Medicine, University of Florence and Azienda Ospedaliera Careggi, Florence, Italy
Nutrition, Metabolism & Cardiovascular Diseases (NMCD) May 2010; 20(4):224–235  http://dx.doi.org/10.1016/j.numecd.2009.03.015

Background and Aim

The role of Dipeptidyl Peptidase-4 (DPP-4) inhibitors in the treatment of type 2 diabetes is debated; many recent trials, which were not included in previous meta-analyses, could add relevant information.

Methods and Results

All available randomized controlled trials (RCTs), either published or unpublished, performed in type 2 diabetic patients with DPP-4 inhibitors, with a duration >12 weeks were meta-analyzed for HbA1c, BMI, hypoglycemia, and other adverse events. A total of 41 RCTs (9 of which are unpublished) was retrieved and included in the analysis. Gliptins determine a significant improvement of HbA1c in comparison with a placebo (−0.7 [−0.8:−0.6]), with a low risk of hypoglycemia. DPP-4 inhibitors show a similar efficacy in monotherapy and in combination with other agents. The risk of cardiovascular events and all-cause death with DPP-4 inhibitors is 0.76 [0.46–1.28] and 0.78 [0.40–1.51], respectively.

Conclusions

DPP-4 inhibitors reduce HbA1c, although to a lesser extent than sulphonylureas, with no weight gain and no hypoglycemic risk; further data are needed to assess their long-term safety.

 

 

Oral Dipeptidyl Peptidase-4 (DPP-4) inhibitors sitagliptin [1] and vildagliptin [2], which increase circulating levels of Glucagon-Like Peptide-1 (GLP-1), have recently been approved for use in type 2 diabetes; other molecules of the same class (such as saxagliptin and alogliptin) are under development.

The role of those new drugs in the treatment of type 2 diabetes is debated. The consensus algorithm of the American Diabetes Association and the European Association for the Study of Diabetes [[3], [4]], in its revised version [4], suggests limiting the use of GLP-1 receptor agonists and DPP-4 inhibitors only in some specific cases, without considering those agents in the mainstream (“Tier 1”) of the algorithm. Conversely, DPP-4 inhibitors are not even included as a second choice, although their use is contemplated in selected patients. The reasons for this exclusion are their perceived limited efficacy on HbA1c in comparison with other agents, their poorly defined safety profile, and their cost [[3], [4]].

Efficacy and safety need to be assessed through a comprehensive review of currently available clinical trials. Some detailed reviews of published studies have been recently published [[1], [2], [5]]; furthermore, some meta-analyses have been performed [[1], [6], [7], [8]]. However, currently available meta-analyses included only published studies, without any attempt at retrieving data from completed and publicly disclosed, although not formally published, clinical trials. Furthermore, several trials have been published in the last few months, increasing in a relevant manner the available data base for the assessment of the clinical profile of DPP-4 inhibitors.

The aim of the present study is to offer a comprehensive and updated synthesis of all available clinical data on the safety and efficacy of DPP-4 inhibitors.

The trial flow is summarized in Fig. 1, and the characteristics of the trials included in the meta-analysis are summarized in Table 1. Among the trials included, 32 were described in publications in peer-reviewed journals; results of 9 unpublished trials were disclosed on different websites. Furthermore, 10 unpublished trials, the results of which were undisclosed, could be identified (Table 2). Notably, results could be retrieved for the large majority of trials on currently available DPP-4 inhibitors (sitagliptin and vildagliptin), while only results of preliminary phase II studies were available for products currently under development (saxagliptin).

Thumbnail image of Figure 1. Opens large image

Figure 1

Trial flow diagram. RCT: randomized clinical trial.

Table 1Characteristics of the studies included in the meta-analysis.
Study (Ref.) Dose (mg/die) Comparator Add-on to Description of randomization Description of blinding Reporting of drop-out Intention-to-treat
Vildagliptin
Pan [33] 100 Acarbose None NA NA A Yes
Schweizer [28] 100 Metformin None NA NA A Yes
Rosenstock [34] 50–100 Rosiglitazone None NA NA A Yes
2329 [14] 50–100 Pioglitazone None NR NR NR Yes
Bolli [21] 100 Pioglitazone Metformin NA NA A No
  • Rosenstock [35]

  • 100

  • Pioglitazone

  • None

  • NA

  • A

  • A

  • Yes

  • 50–100

  • Placebo

  • Pioglitazone

  • NA

  • A

  • A

  • Yes

Dejager [36] 50–100 Placebo None NA NA A Yes
Scherbaum [37] 50 Placebo None NA NA A Yes
Mari [38] 50 Placebo None NA NA A NR
Scherbaum [39] 50 Placebo None NA NA A Yes
Pratley [27] 50 Placebo None NA A A Yes
Pi-Sunyer [40] 50–100 Placebo None NA NA A Yes
Ristic [41] 25–100 Placebo None NA NA NA Yes
1202 [14] 20–100 Placebo None NR NR NR Yes
Ahren [42] 50 Placebo Metformin NA NA A NR
Bosi [22] 50–100 Placebo Metformin NA NA A Yes
Garber [43] 50–100 Placebo Pioglitazone NA NA A Yes
Garber [19] 50–100 Placebo Glimepiride A NA A Yes
1302 [14] 100 Placebo Glimepiride NR NR NR Yes
Fonseca [20] 100 Placebo Insulin NA NA A Yes
1303 [14] 50–100 Placebo NR NR NR NR Yes
D’Alessio [44] 100 Placebo Metf./None NA NA A Yes
Sitagliptin
PN-036 [15] 50–100 Metformin None NA A A Yes
  • Scott [45]

  • 100

  • Rosiglitazone

  • Metformin

  • NA

  • NA

  • A

  • Yes

  • 100

  • Placebo

  • Metformin

  • NA

  • NA

  • A

  • Yes

PN-035 [15] 100 Pioglitazone Glim±Met NA NA A Yes
Nauck [17] 100 Glipizide Metformin NA NA A Yes
PN-028 [15] 25–50 Placebo/Glip. OAD/Insulin NR NR NR Yes
  • Scott [18]

  • 10–100

  • Glipizide

  • None

  • A

  • A

  • A

  • Yes

  • 10–100

  • Placebo

  • None

  • A

  • A

  • A

  • Yes

Nonaka [46] 100 Placebo None NA NA A Yes
Hanefeld [16] 25–100 Placebo None NA A A No
Raz [47] 100–200 Placebo None NA NA A Yes
Goldstein [23] 50–100 Placebo None NA A A Yes
Rosenstock [35] 100 Placebo Pioglitazone NA NA A Yes
Hermansen [24] 100 Placebo Glim±Metf NA NA A Yes
Goldstein [23] 50–100 Placebo Metformin NA A A Yes
Charbonnel [48] 100 Placebo Metformin NA NA A Yes
Aschner [49] 100–200 Placebo None NA NA A Yes
Raz [50] 100 Placebo Metformin A NA A Yes
PN-040 [15] 100 Placebo OAD/None NR NR NR Yes
PN-044 [15] 25–200 Placebo OAD/None NR NR NR Yes
Saxagliptin
Rosenstock [51] 2.5–40 Placebo None NA NA A Yes

NA: not adequate or not adequately reported; A: adequate; NR: not reported; glip.: glipizide; glim±metf: glimepiride and/or metformin; metf.: metformin; OAD: oral antidiabetic drugs; and SU/metf: sulfonylureas or metformin.

Table 2Characteristics of the unpublished and undisclosed studies.
Study # Patients planned Comparator Add-on to Trial duration (weeks) Design Randomization Study end datea
DPP-4 inhibitors
Vildagliptin
 NCT00368134 [52] 370 Voglibose None 12 PS Double blind June 2007
 NCT00396227 [52] 2665 Glitazones Metformin 12 PS Open label October 2007
Sitagliptin
 NCT00411554 [52] 310 Voglibose None 12 PS Double blind August 2007
Saxagliptin
 NCT00327015 [52] 1396 Placebo Metformin 52 PS Double blind November 2007
Metformin None 52 PS Double blind
 NCT00121641 [52] 460 Placebo None 24 PS Double blind August 2007
 NCT00374907 [52] 36 Placebo None 12 PS Double blind October 2007
 NCT00295633 [52] 555 Placebo Glitazones 24 PS Double blind October 2007
 NCT00121667 [52] 720 Placebo Metformin 24 PS Double blind August 2006
 NCT00313313 [52] 780 Placebo Glyburide 24 PS Double blind September 2007
 NCT00316082 [52] 365 Placebo None 24 PS Double blind November 2007

PS: parallel series.

aFinal data collection date for primary outcome measure.

The Begg adjusted rank correlation test (Kendall tau: −74; p=0.13) and the Egger regression approach (intercept, −2.81 [CI, –6.91–1.27]) suggested no major publication bias.

…………….

Table 3Moderators and outcome variables in individual studies included in the meta-analysis.
Study (Ref.) # Patients (ID/C) Comparator Trial duration (weeks) >Agea(years) Duration of DMa(years) HbA1c baselinea(%) HbA1c endpoint (%, ID/C) BMI baselinea(Kg/m2) BMI endpoint (Kg/m2)
DPP-4 inhibitors
Vildagliptin
 Pan [33] 440/220 Acarbose 24 52 1.2 8.6 7.2/7.3 26.1 26.3/25.2
 Schweizer [28] 526/254 Metformin 52 53 1.0 8.7 7.7/7.3 32.4 32.5/31.8
 Rosenstock [34] 459/238 Rosiglitazone 24 54 2.5 8.7 7.6/7.4 32.5 32.1/33.5
 2329 [14] 218/55 Pioglitazone 12 52 2.0 10.0 NR NR NR
 Bolli [21] 295/280 Pioglitazone 24 56 6.4 8.4 7.5/7.5 32.1 32.1/32.8
  •  Rosenstock [35]

  • 154/161

  • Pioglitazone

24 51 2.0 8.7
  • 7.0/7.3

29.4
  • 29.9/29.4

  • 292/161

  • Placebo

24 52 2.0 8.7
  • 7.5/7.3

29.3
  • 29.5/29.4

 Dejager [36] 472/160 Placebo 24 54 2.1 8.4 7.6/8.1 32.9 NR
 Scherbaum [37] 67/61 Placebo 52 64 3.3 6.6 6.6/7.1 30.2 NR
 Mari [38] 156/150 Placebo 52 63 2.6 6.7 6.5/6.9 30.2 NR
 Scherbaum [39] 156/150 Placebo 52 63 2.5 6.7 6.5/6.9 30.2 30.2/29.9
 Pratley [27] 70/28 Placebo 12 55 4.0 8.0 7.4/8.1 29.9 NR
 Pi-Sunyer [40] 262/92 Placebo 24 51 2.1 8.4 7.7/8.4 32.2 31.9/32.2
 Ristic [41] 221/58 Placebo 12 56 3.0 7.7 7.2/7.7 31.1 31.0/31.4
 1202 [14] 219/72 Placebo 12 59 NR 7.4 6.7/7. 24.0 NR
 Ahren [42] 56/51 Placebo 12 57 5.5 7.8 7.1/7.8 29.7 NR
 Bosi [22] 349/171 Placebo 24 54 6.2 8.4 7.5/8.4 32.7 32.5/31.7
 Garber [43] 260/138 Placebo 24 54 4.7 8.7 7.6/8.1 32.4 NR
 Garber [19] 264/144 Placebo 16 58 7.1 8.5 7.9/8.6 31.4 31.8/31.2
 1302 102/100 Placebo 12 60 9.0 7.9 6.8/7.9 NR NR
 Fonseca [20] 144/152 Placebo 24 59 14.7 8.4 7.9/8.2 33.1 33.8/33.1
 1303 [14] 178/61 Placebo 12 60 6.5 7.4 6.5/7.7 NR NR
 D’Alessio [44] 20/19 Placebo 12 55 3.5 6.7 6.3/6.3 32.3 NR
Sitagliptin
 PN-036 [15] 179/176 Metformin 30 53 4.5 8.9 8.1/7.6 31.9 NR
  •  Scott [45]

  • 94/87

  • Rosiglitazone

18 55 5.0 7.7
  • 7.0/6.9

30.2
  • 30.1/30.9

  • 94/92

  • Placebo

18 55 5.0 7.7
  • 7.0/7.5

30.1
  • 30.1/29.8

 PN-035 [15] 91/68 Pioglitazone 30 56 8.7 8.2 7.6/8.0 31.2 NR
 Nauck [17] 576/559 Glipizide 52 57 6.3 7.7 7.2/7.0 31.2 30.7/31.7
 PN-028 [15] 65/26 Placebo/Glip 54 68 13.5 7.7 7.0/7.6 NR NR
  •  Scott [18]

  • 595/123

  • Glipizide

12 55 5.0 7.9
  • 7.5/7.1

30.8
  • NR

  • 595/125

  • Placebo

12 55 5.0 7.9
  • 7.5/8.1

31.0
  • NR

 Nonaka [46] 75/76 Placebo 12 55 4.0 7.6 6.9/8.1 25.2 NR
 Hanefeld [16] 444/111 Placebo 12 56 3.7 7.7 7.4/7.8 31.7 NR
 Raz [47] 411/110 Placebo 18 55 4.6 8.0 7.7/8.2 32.1 31.8/32.3
 Goldstein [23] 179/176 Placebo 24 53 4.5 8.7 8.2/8.9 31.9 NR
 Rosenstock [35] 175/178 Placebo 24 56 6.1 8.1 7.2/7.8 31.5 32.6/31.5
 Hermansen [24] 222/219 Placebo 24 56 8.7 8.3 7.8/8.6 31.0 31.5/31.2
 Goldstein [23] 372/364 Placebo 54 53 4.4 8.8 7.1/7.8 32.2 NR
 Charbonnel [48] 429/206 Placebo 24 54 6.3 8.0 7.3/7.9 31.3 NR
 Aschner [49] 488/253 Placebo 24 54 4.4 8.0 7.3/8.2 30.5 30.3/30.5
 Raz [50] 96/94 Placebo 30 55 8.0 9.2 8.3/9.1 30.2 NR
 PN-040 [15] 352/178 Placebo 18 NR NR 8.7 NR NR NR
 PN-044 [15] 290/73 Placebo 12 NR NR 7.6 NR NR NR
Saxagliptin
 Rosenstock [51] 271/67 Placebo 12 53 1.0 7.9 7.1/7.7 31.0 30.7/30.7

ID/C: investigational drug/comparator; DM: diabetes mellitus; and glip.: glipizide.

aMean values.
Thumbnail image of Figure 2. Opens large image

Figure 2

Standardized differences (with 95% CI) of mean HbA1c at endpoint.

……………………….

DPP-4 inhibitors have been proposed as an alternative to currently available therapies (sulphonylureas, thiazolidinediones or insulin), mainly as an add-on treatment in patients failing with metformin monotherapy. However, even the most recent version of the ADA–EASD consensus algorithm does not consider these drugs a viable option, except for selected cases [4]. The reasons for exclusion from the main treatment algorithm are scarce efficacy, limited amount of available evidence and high cost. With respect to available evidence, it should be recognized that several trials, which had not been included in previous meta-analyses [6], have been recently published [[19], [21], [22], [23], [24], [25]]. Furthermore, there are a relevant number of unpublished trials, the results of which have been disclosed on different websites, and are therefore available. The decision to publish a trial is, in most instances, performed by the sponsor which has a specific interest in pursuing the greater safety and tolerability of the new drug. This bias is unfortunate and limits the reliability of this and other meta-analysis, often based only on data provided from manufacturers; however, the retrieval of all available information should always be attempted, although the possibility of including some information of poorer methodological quality should be taken into account. The overall amount of evidence from randomized clinical trials which can be retrieved using this comprehensive approach is relevant, and probably sufficient for a reliable assessment of the clinical profile of this new class.

The overall efficacy on HbA1c of DPP-4 inhibitors in placebo-controlled trials is similar to that reported in previous meta-analyses [[1], [6], [7], [8]]. However, the greater number of available studies allowed separate analyses of trials in which DPP-4 inhibitors were used either as monotherapy or as an add-on to other agents. In fact, most currently available hypoglycemic treatments show a smaller additional effect on HbA1c when used as an add-on to metformin, in comparison with monotherapy trials [26]. Conversely, DPP-4 inhibitors produce a similar placebo-subtracted reduction of HbA1c either in monotherapy or as an add-on to other agents. This pattern resembles that of other drugs specifically active on post-prandial glucose, such as acarbose or glinides [26]. In fact, DPP-4 inhibitors, as well as GLP-1 receptor agonists, show a relevant effect on post-prandial hyperglycemia. Although data on post-prandial glucose measured through self-monitoring were not available, the results obtained in many trials with meal tests [[7], [27]] support the hypothesis of a specific action of DPP-4 inhibitors on post-prandial hyperglycemia.

Based on the considerations reported above, DPP-4 inhibitors, when used in combination with other drugs, should not be expected to be less effective on HbA1c than other agents (such as sulphonylureas, thiazolidinediones or insulin). Unfortunately, only a small number of head-to-head comparisons with other drugs are currently available. The efficacy of DPP-4 inhibitors on HbA1c, either in monotherapy or in combination with metformin, appears to be somewhat smaller than that of sulphonylureas, and similar to thiazolidinediones; the only two available comparisons with metformin, both in monotherapy, one with vildagliptin [28] and one with sitagliptin (PN-036 on www.merck.com/mrl/clinical_trials/results.html) suggest a smaller effect on HbA1c. It should be considered that most trials are of a relatively short duration and it is possible that sulphonylureas, which are known to produce a less durable effect on glucose than other available agents, [29] could provide less favorable results in the long-term.

Taken together, the present results on efficacy do not support the use of DPP-4 inhibitors in monotherapy as an alternative to metformin. On the other hand, these drugs appear to be effective as add-on treatments in patients failing with metformin monotherapy, with a specific effect on post-prandial glucose, although the short-term efficacy of sulphonylureas on HbA1c could be greater than that of DPP-4 inhibitors.

With respect to body mass index, this meta-analysis confirms the neutrality of DPP-4 inhibitors [[1], [6], [7], [8]]. In direct comparison, DPP-4 inhibitors appear to have an advantage in this respect over thiazolidinediones.

GLP-1 stimulates insulin secretion and inhibits glucagon production in a glucose-dependent manner, i.e. its effects are blunted when blood glucose reaches the lower limits of the normal range [30]. Therefore, DPP-4 inhibitors are expected to reduce glycemia with a low hypoglycemic risk. In fact, DPP-4 inhibitors do not induce any additional risk, in comparison with a placebo, either in monotherapy or in combination with sulphonylureas or insulin. This confirms the results of a recent meta-analysis performed on patient-level data from randomized clinical trials with sitagliptin [31]. Interestingly, in the only trial performed in insulin-treated patients, vildagliptin reduced the incidence of hypoglycemia in comparison with a placebo [20]. The mechanisms underlying this phenomenon need to be further elucidated. As expected, DPP-4 inhibitors do not increase the incidence of hypoglycemic episodes when compared with insulin-sensitizing drugs; on the other hand, they show a markedly reduced risk of hypoglycemia in head-to-head comparisons with sulphonylureas. This difference, which could be partly determined by a marginally greater efficacy of sulphonylureas on HbA1c, is consistent with the different mechanisms of action of the classes of drugs.

No patient experienced severe hypoglycemia during vildagliptin therapy. Unexpectedly, episodes of severe hypoglycemia occurred in five patients treated with sitagliptin, either in monotherapy or in combination with metformin, in three different trials [[16], [17], [18]]. Notably, two of those trials [[16], [18]], although published, did not report those events but since those trials were included in the registration data for drug approval in the US, the information on severe hypoglycemia can be retrieved from the FDA website. Furthermore, episodes of severe hypoglycemia were not considered in a recent meta-analysis of trials with sitagliptin, although a greater number of such events had occurred in comparator groups, which included sulphonylureas [31]. It should also be considered that some of the trials did not report any information on severe hypoglycemia, raising the possibility of a selective reporting bias. The occurrence of cases of severe hypoglycemia with DPP-4 inhibitor monotherapy is difficult to explain on the basis of the current knowledge of the mechanism of action of those drugs, and deserved further investigation.

Among other expected adverse events, the previously reported increased incidence of some infections during DPP-4 inhibitor therapy [[6], [8]] is confirmed, with sitagliptin, but not vildagliptin, associated with nasopharyngitis, and with a nonsignificant trend toward an increased risk of urinary tract infections. These results are consistent with those of a recent meta-analysis on patient-level data from trials with sitagliptin, which included only a fraction of the studies summarized in the present meta-analysis, and which showed a similar trend toward the increase of risk of nasopharyngitis with the DPP-4 inhibitor, although it failed to reach statistical significance [31]. It should be considered that DPP-4 is involved in the interaction between immune cells and that it could therefore modulate immune responses [32]; however, there is no evidence from mechanistic studies that inhibition of DPP-4 with currently available agents has an immunodepressant effect. Consistently, treatment with DPP-4 inhibitors does not appear to increase the risk of infections other than nasopharyngitis and urinary tract infections.

The introduction of a new class of drugs which are designed for long-term use always raises some concerns about safety during prolonged treatment. The possibility of rare, unexpected serious adverse events, which could not be detected in registration trials, should be considered. The number of reported deaths in available trials is still very small; however, there is no evidence suggesting an increase in mortality during treatment with DPP-4 inhibitors. The number of cardiovascular events registered in clinical trials is remarkably greater, although still inadequate to detect minor differences between groups. The two drugs which have been more thoroughly studied (sitagliptin and vildagliptin) do not seem to be associated with increased cardiovascular risk; in fact, the actual risk is lower than with comparators, although differences do not reach statistical significance. In fact, available data do not rule out the possibility of an increase of cardiovascular risk up to 28%, or of a reduction up to 54%. It should be considered that the duration of the available trials (up to one year) is insufficient to detect any effect of treatment (either detrimental or beneficial) on atherogenesis.

The addition of unpublished trials does not substantially modify the estimates of efficacy of DPP-4 inhibitors. However, the retrieval of unpublished, but publicly disclosed, information allowed the identification of some potentially interesting phenomena, such as cases of severe hypoglycemia with DPP-4 inhibitor monotherapy, which could not be detected in published papers.

The limitations of the present meta-analysis should be recognized and considered when interpreting the results. The analysis was performed on summary data, therefore lacking the accuracy of assessment which can be obtained when using patient-level data. For the very same reason, a time-to-event analysis for categorial outcomes (including cardiovascular events) could not be performed; the proportion of patients experiencing at least one event during the trial, which was used for meta-analysis, approximates the actual incidence of events only if this incidence is assumed to be constant throughout the duration of the trial. Furthermore, the number of subject studies and the duration of trials performed is insufficient to draw any definitive conclusion on the long-term cardiovascular safety of DPP-4 inhibitors.

In conclusion, DPP-4 inhibitors are effective in reducing HbA1c and post-prandial glucose; when used as an add-on to metformin, they show a medium-term efficacy on HbA1c similar to thiazolidinediones and marginally inferior to sulphonylureas, with a reassuring short- and medium-term safety profile. In fact, the hypoglycemic risk is low, and there is no evidence of detrimental effects on cardiovascular disease. In comparison with sulphonylureas or insulin, which have been proposed as first-choice agents in patients failing with metformin [4], DPP-4 inhibitors exhibit, at least in the short- and medium-term, a lower hypoglycemic risk and a more favorable action on body weight, at the price of a somewhat smaller efficacy and higher cost. The choice of the drugs to be used as add-ons to metformin in monotherapy failure largely depends on the relative weight attributed to each of these three components (safety, efficacy on HbA1c and cost).

 

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Glucokinase target for type 2 diabetes

Larry H. Bernstein, MD, FCAP, Curator

LPBI

 

 

Pfizer’s PF 04991532 a Hepatoselective Glucokinase Activator Clinical Candidate for Treating Type 2 Diabetes Mellitus
DR ANTHONY MELVIN CRASTO, WORLD DRUG TRACKER
http://newdrugapprovals.org/2015/11/27/pfizers-pf-04991532-a-hepatoselective-glucokinase-activator-clinical-candidate-for-treating-type-2-diabetes-mellitus/

 

PF 04991532

GKA PF-04991532

(S)-6-{3-cyclopentyl-2-[4-(trifluoromethyl)-1H-imidazol-1-yl]propanamido}nicotinic acid

(S)-6-(3-Cyclopentyl-2-(4-(trifluoromethyl)-1H-imidazol-1-yl)propanamido)nicotinic Acid

(S)-6-(3-cyclopentyl-2-(4-(trifluoromethyl)-1H-imidazol-1-yl)propanamido)nicotinic acid

MW 396.36, MF C18 H19 F3 N4 O3

CAS 1215197-37-7

3-​Pyridinecarboxylic acid, 6-​[[(2S)​-​3-​cyclopentyl-​1-​oxo-​2-​[4-​(trifluoromethyl)​-​1H-​imidazol-​1-​yl]​propyl]​amino]​-

http://www.biochemj.org/content/441/3/881

 

Type 2 diabetes mellitus (T2DM) is a rapidly expanding public epidemic affecting over 300 million people worldwide. This disease is characterized by elevated fasting plasma glucose (FPG), insulin resistance, abnormally elevated hepatic glucose production (HGP), and reduced glucose-stimulated insulin secretion (GSIS). Moreover, long-term lack of glycemic control increases risk of complications from neuropathic, microvascular, and macrovascular diseases.

The standard of care for T2DM is metformin followed by sulfonylureas, dipeptidyl peptidase-4 (DPP-IV) inhibitors, and thiazolidinediones (TZD) as second line oral therapies. As disease progression continues, patients typically require injectable agents such as glucagon-like peptide-1 (GLP-1) analogues and, ultimately, insulin to help maintain glycemic control. Despite these current therapies, many patients still remain unable to safely achieve and maintain tight glycemic control, placing them at risk of diabetic complications and highlighting the need for novel therapeutic options.

 

Glucokinase (hexokinase IV) continues to be a compelling target for the treatment of type 2 diabetes given the wealth of supporting human genetics data and numerous reports of robust clinical glucose lowering in patients treated with small molecule allosteric activators. Recent work has demonstrated the ability of hepatoselective activators to deliver glucose lowering efficacy with minimal risk of hypoglycemia.

While orally administered agents require a considerable degree of passive permeability to promote suitable exposures, there is no such restriction on intravenously delivered drugs. Therefore, minimization of membrane diffusion in the context of an intravenously agent should ensure optimal hepatic targeting and therapeutic index.

 

Diabetes is a major public health concern because of its increasing prevalence and associated health risks. The disease is characterized by metabolic defects in the production and utilization of carbohydrates which result in the failure to maintain appropriate blood glucose levels. Two major forms of diabetes are recognized. Type I diabetes, or insulin-dependent diabetes mellitus (IDDM), is the result of an absolute deficiency of insulin. Type II diabetes, or non-insulin dependent diabetes mellitus (NIDDM), often occurs with normal, or even elevated levels of insulin and appears to be the result of the inability of tissues and cells to respond appropriately to insulin. Aggressive control of NIDDM with medication is essential; otherwise it can progress into IDDM.

As blood glucose increases, it is transported into pancreatic beta cells via a glucose transporter. Intracellular mammalian glucokinase (GK) senses the rise in glucose and activates cellular glycolysis, i.e. the conversion of glucose to glucose-6-phosphate, and subsequent insulin release. Glucokinase is found principally in pancreatic β-cells and liver parenchymal cells. Because transfer of glucose from the blood into muscle and fatty tissue is insulin dependent, diabetics lack the ability to utilize glucose adequately which leads to undesired accumulation of blood glucose (hyperglycemia). Chronic hyperglycemia leads to decreases in insulin secretion and contributes to increased insulin resistance. Glucokinase also acts as a sensor in hepatic parenchymal cells which induces glycogen synthesis, thus preventing the release of glucose into the blood. The GK processes are thus critical for the maintenance of whole body glucose homeostasis.

It is expected that an agent that activates cellular GK will facilitate glucose-dependent secretion from pancreatic beta cells, correct postprandial hyperglycemia, increase hepatic glucose utilization and potentially inhibit hepatic glucose release. Consequently, a GK activator may provide therapeutic treatment for NIDDM and associated complications, inter alia, hyperglycemia, dyslipidemia, insulin resistance syndrome, hyperinsulinemia, hypertension, and obesity.

Several drugs in five major categories, each acting by different mechanisms, are available for treating hyperglycemia and subsequently, NIDDM (Moller, D. E., “New drug targets for Type II diabetes and the metabolic syndrome” Nature414; 821-827, (2001)): (A) Insulin secretogogues, including sulphonyl-ureas (e.g., glipizide, glimepiride, glyburide) and meglitinides (e.g., nateglidine and repaglinide) enhance secretion of insulin by acting on the pancreatic beta-cells. While this therapy can decrease blood glucose level, it has limited efficacy and tolerability, causes weight gain and often induces hypoglycemia. (B) Biguanides (e.g., metformin) are thought to act primarily by decreasing hepatic glucose production. Biguanides often cause gastrointestinal disturbances and lactic acidosis, further limiting their use. (C) Inhibitors of alpha-glucosidase (e.g., acarbose) decrease intestinal glucose absorption. These agents often cause gastrointestinal disturbances. (D) Thiazolidinediones (e.g., pioglitazone, rosiglitazone) act on a specific receptor (peroxisome proliferator-activated receptor-gamma) in the liver, muscle and fat tissues. They regulate lipid metabolism subsequently enhancing the response of these tissues to the actions of insulin. Frequent use of these drugs may lead to weight gain and may induce edema and anemia. (E) Insulin is used in more severe cases, either alone or in combination with the above agents.

Ideally, an effective new treatment for NIDDM would meet the following criteria: (a) it would not have significant side effects including induction of hypoglycemia; (b) it would not cause weight gain; (c) it would at least partially replace insulin by acting via mechanism(s) that are independent from the actions of insulin; (d) it would desirably be metabolically stable to allow less frequent usage; and (e) it would be usable in combination with tolerable amounts of any of the categories of drugs listed herein.

Substituted heteroaryls, particularly pyridones, have been implicated in mediating GK and may play a significant role in the treatment of NIDDM. For example, U.S. Patent publication No. 2006/0058353 and PCT publication Nos. WO2007/043638, WO2007/043638, and WO2007/117995 recite certain heterocyclic derivatives with utility for the treatment of diabetes. Although investigations are on-going, there still exists a need for a more effective and safe therapeutic treatment for diabetes, particularly NIDDM.

 

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s1

 

PATENT

US 20100063063

http://www.google.com/patents/US20100063063

SYNTHESIS CONSTRUCTION

6-aminonicotinic acid

 

BENZYL BROMIDE

 

Figure US20100063063A1-20100311-C00076

FIRST KEY INTERMEDIATE

 

SECOND SERIES FOR NEXT INTERMEDIATE

CONDENSED WITH

4-Trifluoromethyl-1H-imidazole

TO  GIVE PRODUCT SHOWN BELOW

 

Figure US20100063063A1-20100311-C00025

(S)-methyl 3-cyclopentyl-2-(4-(trifluoromethyl)-1H-imidazol-1-yl)propanoate (I-8a)

 

CONVERTED TO ACID CHLORIDE, (S)-3-cyclopentyl-2-(4-(trifluoromethyl)-1H-imidazol-1-yl)propanoyl chloride (I-8c)

AND CONDENSED WITH

Figure US20100063063A1-20100311-C00076

WILL GIVE BENZYL DERIVATIVE

THEN DEBENZYLATION TO FINAL PRODUCT

 

 

 

1H NMR (400 MHz, DMSO-d6) δ 13.10-13.25 (1H), 11.44 (1H), 8.83 (1H), 8.23-8.26 (1H), 8.09-8.12 (1H), 7.94-7.95 (2H), 5.22-5.26 (1H), 2.06-2.17 (2H), 1.29-1.64 (8H), 1.04-1.07 (1H); m/z 397.3 (M+H)+.

 

Organic Process Research & Development (2012), 16(10), 1635-1645

http://pubs.acs.org/doi/abs/10.1021/op300194c

Abstract Image

This work describes the process development and manufacture of early-stage clinical supplies of a hepatoselective glucokinase activator, a potential therapy for type 2 diabetes mellitus. Critical issues centered on challenges associated with the synthesis of intermediates and API bearing a particularly racemization-prone α-aryl carboxylate functionality. In particular, a T3P-mediated amidation process was optimized for the coupling of a racemization-prone acid substrate and a relatively non-nucleophilic amine. Furthermore, an unusually hydrolytically-labile amide in the API also complicated the synthesis and isolation of drug substance. The evolution of the process over multiple campaigns is presented, resulting in the preparation of over 110 kg of glucokinase activator.

(S)-6-(3-Cyclopentyl-2-(4-(trifluoromethyl)-1H-imidazol-1-yl)propanamido)nicotinic Acid (1)

 

Journal of Medicinal Chemistry (2012), 55(3), 1318-1333

http://pubs.acs.org/doi/abs/10.1021/jm2014887

Abstract Image

Glucokinase is a key regulator of glucose homeostasis, and small molecule allosteric activators of this enzyme represent a promising opportunity for the treatment of type 2 diabetes. Systemically acting glucokinase activators (liver and pancreas) have been reported to be efficacious but in many cases present hypoglycaemia risk due to activation of the enzyme at low glucose levels in the pancreas, leading to inappropriately excessive insulin secretion. It was therefore postulated that a liver selective activator may offer effective glycemic control with reduced hypoglycemia risk. Herein, we report structure–activity studies on a carboxylic acid containing series of glucokinase activators with preferential activity in hepatocytes versus pancreatic β-cells. These activators were designed to have low passive permeability thereby minimizing distribution into extrahepatic tissues; concurrently, they were also optimized as substrates for active liver uptake via members of the organic anion transporting polypeptide (OATP) family. These studies lead to the identification of 19 as a potent glucokinase activator with a greater than 50-fold liver-to-pancreas ratio of tissue distribution in rodent and non-rodent species. In preclinical diabetic animals, 19 was found to robustly lower fasting and postprandial glucose with no hypoglycemia, leading to its selection as a clinical development candidate for treating type 2 diabetes.

Bioorganic & Medicinal Chemistry Letters (2013), 23(24), 6588-6592

http://www.sciencedirect.com/science/article/pii/S0960894X13012638

Image for unlabelled figure

 

Structure of Hepatoselective GKA PF-04991532 (1).

Figure 1.

Structure of Hepatoselective GKA PF-04991532 (1).

 

Pfizer’s PF 04937319 glucokinase activators for the treatment of Type 2 diabetes
DR ANTHONY MELVIN CRASTO, WORLD DRUG TRACKER
http://newdrugapprovals.org/2015/11/27/pfizers-pf-04937319-glucokinase-activators-for-the-treatment-of-type-2-diabetes/

Graphical abstract: Designing glucokinase activators with reduced hypoglycemia risk: discovery of N,N-dimethyl-5-(2-methyl-6-((5-methylpyrazin-2-yl)-carbamoyl)benzofuran-4-yloxy)pyrimidine-2-carboxamide as a clinical candidate for the treatment of type 2 diabetes mellitus

PF 04937319

N,N-dimethyl-5-(2-methyl-6-((5-methylpyrazin-2-yl)-carbamoyl)benzofuran-4-yloxy)pyrimidine-2-carboxamide

MW 432.43

MF C22 H20 N6 O4
CAS 1245603-92-2
2-​Pyrimidinecarboxamid​e, N,​N-​dimethyl-​5-​[[2-​methyl-​6-​[[(5-​methyl-​2-​pyrazinyl)​amino]​carbonyl]​-​4-​benzofuranyl]​oxy]​-
N,N-Dimethyl-5-(2-methyl-6-((5-methylpyrazin-2-yl)carbamoyl)-benzofuran-4- yloxy)pyrimidine-2-carboxamide
Pfizer Inc. clinical candidate currently in Phase 2 development.
CLINICAL TRIALS

A trial to assess the safety, tolerability, pharmacokinetics, and pharmacodynamics of single doses of PF-04937319 in subjects with type 2 diabetes mellitus (NCT01044537)

Multiple dose study of PF-04937319 in patients with type 2 diabetes (NCT01272804)
Phase 2 study to evaluate safety and efficacy of investigational drug – PF04937319 in patients with type 2 diabetes (NCT01475461)

 

SYNTHESIS

PF 319 SYN

Glucokinase is a key regulator of glucose homeostasis and small molecule activators of this enzyme represent a promising opportunity for the treatment of Type 2 diabetes. Several glucokinase activators have advanced to clinical studies and demonstrated promising efficacy; however, many of these early candidates also revealed hypoglycemia as a key risk. In an effort to mitigate this hypoglycemia risk while maintaining the promising efficacy of this mechanism, we have investigated a series of substituted 2-methylbenzofurans as “partial activators” of the glucokinase enzyme leading to the identification ofN,N-dimethyl-5-(2-methyl-6-((5-methylpyrazin-2-yl)-carbamoyl)benzofuran-4-yloxy)pyrimidine-2-carboxamide as an early development candidate.

 

It is expected that an agent that activates cellular GK will facilitate glucose-dependent secretion from pancreatic beta cells, correct postprandial hyperglycemia, increase hepatic glucose utilization and potentially inhibit hepatic glucose release. Consequently, a GK activator may provide therapeutic treatment for NIDDM and associated complications, inter alia, hyperglycemia, dyslipidemia, insulin resistance syndrome, hyperinsulinemia, hypertension, and obesity. Several drugs in five major categories, each acting by different mechanisms, are available for treating hyperglycemia and subsequently, NIDDM (Moller, D. E., “New drug targets for Type 2 diabetes and the metabolic syndrome” Nature 414; 821 -827, (2001 )): (A) Insulin secretogogues, including sulphonyl-ureas (e.g., glipizide, glimepiride, glyburide) and meglitinides (e.g., nateglidine and repaglinide) enhance secretion of insulin by acting on the pancreatic beta-cells. While this therapy can decrease blood glucose level, it has limited efficacy and tolerability, causes weight gain and often induces hypoglycemia. (B) Biguanides (e.g., metformin) are thought to act primarily by decreasing hepatic glucose production. Biguanides often cause gastrointestinal disturbances and lactic acidosis, further limiting their use. (C) Inhibitors of alpha-glucosidase (e.g., acarbose) decrease intestinal glucose absorption. These agents often cause gastrointestinal disturbances. (D) Thiazolidinediones (e.g., pioglitazone, rosiglitazone) act on a specific receptor (peroxisome proliferator-activated receptor-gamma) in the liver, muscle and fat tissues. They regulate lipid metabolism subsequently enhancing the response of these tissues to the actions of insulin. Frequent use of these drugs may lead to weight gain and may induce edema and anemia. (E) Insulin is used in more severe cases, either alone or in combination with the above agents. Ideally, an effective new treatment for NIDDM would meet the following criteria: (a) it would not have significant side effects including induction of hypoglycemia; (b) it would not cause weight gain; (c) it would at least partially replace insulin by acting via mechanism(s) that are independent from the actions of insulin; (d) it would desirably be metabolically stable to allow less frequent usage; and (e) it would be usable in combination with tolerable amounts of any of the categories of drugs listed herein.

Substituted heteroaryls, particularly pyridones, have been implicated in mediating GK and may play a significant role in the treatment of NIDDM. For example, U.S. Patent publication No. 2006/0058353 and PCT publication No’s. WO2007/043638, WO2007/043638, and WO2007/117995 recite certain heterocyclic derivatives with utility for the treatment of diabetes. Although investigations are on-going, there still exists a need for a more effective and safe therapeutic treatment for diabetes, particularly NIDDM.

 

Designing glucokinase activators with reduced hypoglycemia risk: discovery of N,N-dimethyl-5-(2-methyl-6-((5-methylpyrazin-2-yl)-carbamoyl)benzofuran-4-yloxy)pyrimidine-2-carboxamide as a clinical candidate for the treatment of type 2 diabetes mellitus

*Corresponding authors
aPfizer Worldwide Research & Development, Eastern Point Road, Groton
E-mail: jeffrey.a.pfefferkorn@pfizer.com
Tel: +860 686 3421
Med. Chem. Commun., 2011,2, 828-839

DOI: 10.1039/C1MD00116G

http://pubs.rsc.org/en/content/articlelanding/2011/md/c1md00116g/unauth#!divAbstract

http://www.rsc.org/suppdata/md/c1/c1md00116g/c1md00116g.pdf

Glucokinase is a key regulator of glucose homeostasis and small molecule activators of this enzyme represent a promising opportunity for the treatment of Type 2 diabetes. Several glucokinase activators have advanced to clinical studies and demonstrated promising efficacy; however, many of these early candidates also revealed hypoglycemia as a key risk. In an effort to mitigate this hypoglycemia risk while maintaining the promising efficacy of this mechanism, we have investigated a series of substituted 2-methylbenzofurans as “partial activators” of the glucokinase enzyme leading to the identification ofN,N-dimethyl-5-(2-methyl-6-((5-methylpyrazin-2-yl)-carbamoyl)benzofuran-4-yloxy)pyrimidine-2-carboxamide as an early development candidate.

Graphical abstract: Designing glucokinase activators with reduced hypoglycemia risk: discovery of N,N-dimethyl-5-(2-methyl-6-((5-methylpyrazin-2-yl)-carbamoyl)benzofuran-4-yloxy)pyrimidine-2-carboxamide as a clinical candidate for the treatment of type 2 diabetes mellitus

N,N-Dimethyl-5-(2-methyl-6-((5-methylpyrazin-2-yl)carbamoyl)-benzofuran-4- yloxy)pyrimidine-2-carboxamide (28).

 

PAPER

 

http://pubs.rsc.org/en/content/articlelanding/2013/md/c2md20317k#!divAbstract

 

PAPER

Bioorganic & Medicinal Chemistry Letters (2013), 23(16), 4571-4578

http://www.sciencedirect.com/science/article/pii/S0960894X13007452

Glucokinase activators 1 and 2.

Figure 1.

Glucokinase activators 1 and 2.

 

PATENT

Pfizer Inc.

WO 2010103437

https://www.google.co.in/patents/WO2010103437A1?cl=en

Scheme I outlines the general procedures one could use to provide compounds of the present invention having Formula (I).

Figure imgf000011_0001
PF 319 SYN

Preparations of Starting Materials and Key Intermediates

 

 

Beebe, D.A.; Ross, T.T.; Rolph, T.P.; Pfefferkorn, J.A.; Esler, W.P.
The glucokinase activator PF-04937319 improves glycemic control in combination with exercise without causing hypoglycemia in diabetic rats
74th Annu Meet Sci Sess Am Diabetes Assoc (ADA) (June 13-17, San Francisco) 2014, Abst 1113-P

 

Amin, N.B.; Aggarwal, N.; Pall, D.; Paragh, G.; Denney, W.S.; Le, V.; Riggs, M.; Calle, R.A.
Two dose-ranging studies with PF-04937319, a systemic partial activator of glucokinase, as add-on therapy to metformin in adults with type 2 diabetes
Diabetes Obes Metab 2015, 17(8): 751

 

Study to compare single dose of three modified release formulations of PF-04937319 with immediate release material-sparing-tablet (IR MST) formulation previously studied in adults with type 2 diabetes mellitus (NCT02206607)

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Artificial Pancreas

Larry H. Bernstein, MD, FCAP, Curator

LPBI

 

Artificial Pancreas Therapy Performs Well in Pilot Study

Fri, 11/20/2015 – by Wiley

http://www.mdtmag.com/news/2015/11/artificial-pancreas-therapy-performs-well-pilot-study

 

Researchers are reporting a breakthrough toward developing an artificial pancreas as a treatment for diabetes and other conditions by combining mechanical artificial pancreas technology with transplantation of islet cells, which produce insulin.

In a study of 14 patients with pancreatitis who underwent standard surgery and auto-islet transplantation treatments, a closed-loop insulin pump, which relies on a continuous cycle of feedback information related to blood measurements, was better than multiple daily insulin injections for maintaining normal blood glucose levels.

“Use of the mechanical artificial pancreas in patients after islet transplantation may help the transplanted cells to survive longer and produce more insulin for longer,” said Dr. Gregory Forlenza, lead author of the American Journal of Transplantation study. “It is our hope that combining these technologies will aid a wide spectrum of patients, including patients with diabetes, in the future.”

 

Artificial Pancreas Works for Length of Entire School Term

Daniel Walls, a 12-year-old with type 1 diabetes who has taken part in the trial.

An artificial pancreas given to children and adults with type 1 diabetes going about their daily lives has been proven to work for 12 weeks – meaning the technology, developed at the University of Cambridge, can now offer a whole school term of extra freedom for children with the condition.

Artificial pancreas trials for people at home, work and school have previously been limited to short periods of time. But a study, published today in the New England Journal of Medicine, saw the technology safely provide three whole months of use, bringing us closer to the day when the wearable, smartphone-like device can be made available to patients.

The lives of the 400,000 UK people with type 1 diabetes currently involves a relentless balancing act of controlling their blood glucose levels by finger-prick blood tests and taking insulin via injections or a pump. But the artificial pancreas sees tight blood glucose control achieved automatically.

This latest Cambridge study showed the artificial pancreas significantly improved control of blood glucose levels among participants – lessening their risk of hypoglycemia. Known as ‘having a hypo,’ hypoglycemia is a drop in blood glucose levels that can be highly dangerous and is what people with type 1 diabetes hate most.

Susan Walls is mother to Daniel Walls, a 12-year-old with type 1 diabetes who has taken part in the trial. She said: “Daniel goes back to school this month after the summer holidays – so it’s a perfect time to hear this wonderful news that the artificial pancreas is proving reliable, offering a whole school term of support.

“The artificial pancreas could change my son’s life, and the lives of so many others. Daniel has absolutely no hypoglycaemia awareness at night. His blood glucose levels could be very low and he wouldn’t wake up. The artificial pancreas could give me the peace of mind that I’ve been missing.”

“The data clearly demonstrate the benefits of the artificial pancreas when used over several months,” said Dr. Roman Hovorka, Director of Research at the University’s Metabolic Research Laboratories, who developed the artificial pancreas. “We have seen improved glucose control and reduced risk of unwanted low glucose levels.”

The Cambridge study is being funded by JDRF, the type 1 diabetes charity. Karen Addington, Chief Executive of JDRF, said: “JDRF launched its goal of perfecting the artificial pancreas in 2006. These results today show that we are thrillingly close to what will be a breakthrough in medical science.”

 

Highly Sensitive Biosensor Measures Glucose in Saliva

The glucose biosensor fabricated with flexible substrates can perform in a variety of curved and moving surfaces, including human skin, smart textile and medical bandage.

Diabetic patients have to monitor blood glucose regularly and frequently, but conventional method of taking blood sample for measuring glucose level is painful. It is therefore important to develop high performance biological sensors for monitoring the glucose level at a reasonable cost.

The challenge to develop biosensor to test glucose in saliva is that the amount of glucose in saliva is too small for detection, and it requires a super sensitive biosensor to perform the job. The biosensor developed by PolyU researchers is fabricated with a glucose oxidase enzyme (GOx) layer, which is sensitive to glucose alone and nothing else. By detecting the electrical current, the glucose level can be known. However, there can be interference with current from other possible biological elements in saliva, such as dopamine, uric acid and ascorbic acid. To block such interference, researchers have coated Polyaniline (PANI) / Nafion-graphene bilayer films between the top enzyme layer and gate electrode. The strong adhesion of this top layer to the GOx layer enables the latter to stabilize and perform well in glucose detection.

Our novel biosensor is selectively sensitive to glucose, accurate, flexible and low in cost. The highly sensitive biosensor shows a detection lower limit of 10-5 mmol/L, which is nearly 1000 times sensitive than the conventional device for measuring blood glucose. This means with this biosensor, as little as 5 gram of glucose in a standard swimming pool of 50 m x 25 m x 2 m can be detected. Between the wide range of glucose level from 10-5 mmol/L up to 10 mmol/L (equivalent to 5 g – 5000 Kg of glucose in a standard swimming pool), the biosensor demonstrates linear response, which is good enough for measuring the possible range of glucose in the human body. Accuracy of the biosensor has been ascertained through laboratory experiments with repeatable results using glucose solutions of known glucose levels.

The glucose biosensor fabricated with flexible substrates can perform in a variety of curved and moving surfaces, including human skin, smart textile and medical bandage. Thus, it has great potential for development into wearable electronic applications, such as wearable biosensor for analysis of glucose level in sweat during exercise. It can also be mass produced at a low cost of HK$ 3 to 5 per test chip, which is comparable or even cheaper than the currently available commercialized products. In addition, this newly invented transistor-based biosensor platform is highly versatile. By changing to suitable enzymes, the platform can be used to measure the level of uric acid and other materials in saliva. For instance, if the biosensor is fabricated with enzyme uricase (UOx) and Polyaniline (PANI) / Nafion-graphene bilayer films, the platform can specifically be sensitive to uric acid only and other interference signals can be blocked.

 

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LIK 066, Novartis, for the treatment of type 2 diabetes

Curator: Larry H. Bernstein, MD, FCAP

 

LIK 066, Novartis, for the treatment of type 2 diabetes
Dr. Anthony Crasto

imgf000135_0001

lik 066

 

LIK-066, a new flozin on the horizon

 

Sodium glucose transporter-2 inhibitor
SGLT 1/2 inhibitor
Novartis Ag innovator
Clinical trial……..https://clinicaltrials.gov/ct2/show/NCT01915849
https://clinicaltrials.gov/ct2/show/NCT02470403

 

  • 10 Jun 2015 Novartis initiates enrolment in a phase II trial for Type 2 diabetes mellitus in USA (NCT02470403)
  • 02 Apr 2014 Novartis terminates a phase II trial in Type-2 diabetes mellitus in USA, Poland, Argentina, Hungary, Puerto Rico and South Africa (NCT01824264)
  • 01 Jan 2014 Novartis completes a phase II trial in Type 2 diabetes mellitus in USA (NCT01915849)

LIK-066 is in phase II clinical studies at Novartis for the treatment of type 2 diabetes.
In June 2014, the EMA’s PDCO adopted a positive opinion on a pediatric investigation plan (PIP) for LIK-066 for type 2 diabetes.
Diabetes mellitus is a metabolic disorder characterized by recurrent or persistent hyperglycemia (high blood glucose) and other signs, as distinct from a single disease or condition. Glucose level abnormalities can result in serious long-term complications, which include cardiovascular disease, chronic renal failure, retinal damage, nerve damage (of several kinds), microvascular damage and obesity.

 

Type 1 diabetes, also known as Insulin Dependent Diabetes Mellitus (IDDM), is characterized by loss of the insulin-producing β-cells of the islets of Langerhans of the pancreas leading to a deficiency of insulin. Type-2 diabetes previously known as adult- onset diabetes, maturity-onset diabetes, or Non-Insulin Dependent Diabetes Mellitus (NIDDM) – is due to a combination of increased hepatic glucose output, defective insulin secretion, and insulin resistance or reduced insulin sensitivity (defective responsiveness of tissues to insulin). Chronic hyperglycemia can also lead to onset or progression of glucose toxicity characterized by decrease in insulin secretion from β-cell, insulin sensitivity; as a result diabetes mellitus is self-exacerbated [Diabetes Care, 1990, 13, 610].
Chronic elevation of blood glucose level also leads to damage of blood vessels. In diabetes, the resultant problems are grouped under “microvascular disease” (due to damage of small blood vessels) and “macro vascular disease” (due to damage of the arteries). Examples of microvascular disease include diabetic retinopathy, neuropathy and nephropathy, while examples of macrovascular disease include coronary artery disease, stroke, peripheral vascular disease, and diabetic myonecrosis.
Diabetic retinopathy, characterized by the growth of weakened blood vessels in the retina as well as macular edema (swelling of the macula), can lead to severe vision loss or blindness. Retinal damage (from microangiopathy) makes it the most common cause of blindness among non-elderly adults in the US. Diabetic neuropathy is characterized by compromised nerve function in the lower extremities. When combined with damaged blood vessels, diabetic neuropathy can lead to diabetic foot. Other forms of diabetic neuropathy may present as mononeuritis or autonomic neuropathy. Diabetic nephropathy is characterized by damage to the kidney, which can lead to chronic renal failure, eventually requiring dialysis. Diabetes mellitus is the most common cause of l adult kidney failure worldwide. A high glycemic diet (i.e., a diet that consists of meals that give high postprandial blood sugar) is known to be one of the causative factors contributing to the development of obesity.
Type 2 diabetes is characterized by insulin resistance and/or inadequate insulin secretion in response to elevated glucose level. Therapies for type 2 diabetes are targeted towards increasing insulin sensitivity (such as TZDs), hepatic glucose utilization (such as biguanides), directly modifying insulin levels (such as insulin, insulin analogs, and insulin secretagogues), increasing increttn hormone action (such as exenatide and sitagliptin), or inhibiting glucose absorption from the diet (such as alpha glucosidase inhibitors) [Nature 2001 , 414, 821-827], glucose is unable to diffuse across the cell membrane and requires transport proteins. The transport of glucose into epithelial cells is mediated by a secondary active cotransport system, the sodium-D-glucose co-transporter (SGLT), driven by a sodium- gradient generated by the Na+/K+-ATPase. Glucose accumulated in the epithelial cell is further transported into the blood across the membrane by facilitated diffusion through GLUT transporters [Kidney International 2007, 72, S27-S35].
SGLT belongs to the sodium/glucose co-transporter family SLCA5. Two different SGLT isoforms, SGLT1 and SGLT2, have been identified to mediate renal tubular glucose reabsorption in humans [Curr. Opinon in Investigational Drugs (2007): 8(4), 285-292 and references cited herein]. Both of them are characterized by their different substrate affinity. Although both of them show 59% homology in their amino acid sequence, they are functionally different. SGLT1 transports glucose as well as galactose, and is expressed both in the kidney and in the intestine, while SGLT2 is found exclusively in the S1 and S2 segments of the renal proximal tubule.
As a consequence, glucose filtered in the glomerulus is reabsorbed into the renal proximal tubular epithelial cells by SGLT2, a low-affinity/high-capacity system, residing on the surface of epithelial cell lining in S1 and S2 tubular segments. Much smaller amounts of glucose are recovered by SGLT1 , as a high-affinity/low-capacity system, on the more distal segment of the proximal tubule. In healthy human, more than 99% of plasma glucose that is filtered in the kidney glomerulus is reabsorbed, resulting in less than 1 % of the total filtered glucose being excreted in urine. It is estimated that 90% of total renal glucose absorption is facilitated by SGLT2; remaining 10 % is likely mediated by SGLT1 [J. Parenter. Enteral Nutr. 2004, 28, 364-371].
SGLT2 was cloned as a candidate sodium glucose co-transporter, and its tissue distribution, substrate specificity, and affinities are reportedly very similar to those of the low-affinity sodium glucose co-transporter in the renal proximal tubule. A drug with a mode of action of SGLT2 inhibition will be a novel and complementary approach to existing classes of medication for diabetes and its associated diseases to meet the patient’s needs for both blood glucose control, while preserving insulin secretion. In addition, SGLT2 inhibitors which lead to loss of excess glucose (and thereby excess calories) may have additional potential for the treatment of obesity.
Indeed small molecule SGLT2 inhibitors have been discovered and the anti-diabetic therapeutic potential of such molecules has been reported in literature [T-1095 (Diabetes, 1999, 48, 1794-1800, Dapagliflozin (Diabetes, 2008, 57, 1723-1729)].

 

PATENT

WO 2011048112
https://www.google.com/patents/WO2011048112A1?cl=en
Gregory Raymond Bebernitz, Mark G. Bock, Dumbala Srinivas Reddy, Atul Kashinath Hajare, Vinod Vyavahare, Sandeep Bhausaheb Bhosale, Suresh Eknath Kurhade, Videsh Salunkhe, Nadim S. Shaikh, Debnath Bhuniya, P. Venkata Palle, Lili Feng, Jessica Liang,
Patentscope, Espacenet

 

PATENT

SEE  INDIAN PATENT
IN 2009DE02173
Glycoside derivatives and uses thereof

REFERENCES

Pediatric investigation plan (PIP) decision: (S)-Pyrrolidine-2-carboxylic acid compound with (2S,3R,4R,5S,6R)-2-(3-((2,3-dihydrobenzo[b][1,4]dioxin-6-yl)methyl)-4-ethylphenyl)-6-(hydroxymethyl)tetrahydro-2H-pyran-3,4,5-triol (2:1) ( LIK066) (EMEA-001527-PIP01-13)
European Medicines Agency (EMA) Web Site 2014, July 24
Safety, tolerability, pharmacokinetics (PK) and pharmacodynamics (PD) assessment of LIK066 in healthy subjects and in patients with type 2 diabetes mellitus (T2DM) (NCT01407003)
ClinicalTrials.gov Web Site 2011, August 07
WO2012140597
WO2011048112
IN 2009DE02173

 

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Mirogabalin for diabetic neuropathy

Larry H. Bernstein, MD, FCAP, Curator

LPBI

 

 

Mirogabalin

by DR ANTHONY MELVIN CRASTO Ph.D

 

Mirogabalin, A-2000700, DS-5565
1138245-13-2, C12H19NO2, 209.28
[(1R,5S,6S)-6-(aminomethyl)-3-ethylbicyclo[3.2.0]hept-3-en-6-yl]acetic acid
2-[(1R,5S,6S)-6-(aminomethyl)-3-ethyl-6-bicyclo[3.2.0]hept-3-enyl]acetic acid
UNII-S7LK2KDM5U
Originator
Daiichi Sankyo
Therapeutic Claim
Treatment of fibromyalgia

Phase III clinical trials at Daiichi Sankyo for the treatment of pain associated with fibromyalgia

 

Class
Analgesic drugs (small molecules)
Mechanism of action
CACNA2D1 protein modulators

 

Mirogabalin (DS-5565) is a drug developed by Daiichi Sankyo and related to drugs such as gabapentin and pregabalin. Similarly to these drugs, mirogabalin binds to the α2δ calcium channels (1 and 2), but with significantly higher potency than pregabalin. It has shown promising results in Phase II clinical trials for the treatment of diabeticperipheral neuropathic pain,[1][2] and is currently in Phase III trials.

Mirogabalin, a voltage-dependent calcium channel subunit alpha-2/delta-1 ligand, is in phase III clinical trials at Daiichi Sankyo for the treatment of pain associated with fibromyalgia. The company is also conducting phase III clinical studies for the treatment of chronic pain and pain associated with diabetic peripheral neuropathy.

PATENTS

WO 2009041453

https://www.google.co.in/patents/EP2192109A1

JP 2010241796

WO 2012169475

WO 2012169474

WO2015005298

https://patentscope.wipo.int/search/en/detail.jsf

 

In the present invention, compounds having formula (IX) prepared via the process F from Step A (and / or its enantiomer) may be very produced as pure compounds. Compounds of formula (IX) which can be obtained by the present invention typically have a quality below.

The content of the diastereomer represented by the formula (X): 0.1% less than the content of the enantiomers represented by the formula (XI): 1.0% less than the formula (XII) and the double bond represented by the formula (XIII) The total content of regioisomers: less than 0.5% (Note that each content is calculated from the area percentage of the free form of formula (IX) (VII) in the by test High Performance Liquid Chromatography) [formula 23] [of 24]

 

 Next, the present invention is described by examples in detail, the present invention is, which however shall not be construed as limited thereto.
The internal standard substance in a magnetic resonance spectra (NMR), and using tetramethylsilane and abbreviations indicate the multiplicity, s = singlet, d = doublet, t = triplet, q = quartet, m = multiplet, and brs = It shows a broad singlet.
In the name of the compound, “R” and “S” indicate the absolute configuration at the asymmetric carbon. Furthermore, “RS” and “SR” indicates that the asymmetric carbon atom is racemic. In addition, “(1RS, and 5SR) -” if such a can shows the relative arrangement of the 1-position and the 5-position, as well shows only one of the diastereomers, its diastereomers are racemic We show that.
In the name of the compound, “E” and “Z” indicates the arrangement of positional isomers in the structure of the compound having a position isomerism.
“EZ” and “ZE” indicates that it is a mixture of regioisomers. Way more notation, is in accordance with the conventions in this area of the normal.

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Empagliflozin

Larry H. Bernstein, MD, FCAP, Curator

LPBI

 

Empagliflozin Benefits in EMPA-REG Explored in Diabetics Initially With or Without Heart Failure

Marlene Busko

http://www.medscape.com/viewarticle/854542

 

ORLANDO, FL — Patients with type 2 diabetes and established CVD who received the antidiabetic sodium-glucose cotransporter 2 (SGLT2) inhibitor empagliflozin (Jardiance, Lilly/Boehringer Ingelheim), as opposed to placebo, had a reduced risk of being hospitalized for heart failure or dying from CVD during a median follow-up of 3.1 years. The finding was strongest in patients without heart failure at baseline[1]. The finding is noteworthy in part because associated heart failure has been a concern, justified or not, with some other diabetes medications.

In these high-risk patients, empagliflozin resulted in a “consistent benefit” in these outcomes, Dr Silvio E Inzucchi (Yale University School of Medicine, New Haven, CT) said, presenting these findings from a prespecified secondary analysis of the EMPA-REG OUTCOME trial at theAmerican Heart Association (AHA) 2015 Scientific Sessions.

Unlike the gasps and applause that greeted him when he presented the trial’s primary outcome results at the European Association for the Study of Diabetes (EASD) 2015 Meeting in Stockholm in mid-September, the audience reaction this time was more measured. The trial had also been published at about the time of its EASD presentation [2].

The principal findings showed that compared with patients who took placebo, those who were randomized to empagliflozin had a 38% (P<0.001) reduced risk of CV death and a 35% P=0.002) reduced risk of hospitalization for HF, at a median follow-up of 3.1 years.

In the current secondary analysis, the 90% of patients who were free of heart failure at study entry showed a steep and significant drop in HF hospitalizations during the trial. There was also a drop in HF hospitalizations with active therapy in the minority who had HF at baseline, but it failed to reach significance.

“I think metformin is likely to remain our first-line oral therapy for patients with type 2 diabetes,” Dr Donald M Lloyd-Jones (Northwestern University Feinberg School of Medicine, Chicago, IL), cochair at an AHA press briefing, told heartwire from Medscape. “There is an alphabet soup of diabetes medications,” with multiple agents that effectively lower blood glucose and reduce patients’ risk of retinopathy, nephropathy, and neuropathy.

However, “it was . . . unexpected that [empagliflozin], as reported recently [at the EASD meeting and] in the New England Journal of Medicine [has an] effect on CV death and other CV events.” This is still an early stage of research, he cautioned, and it is not known how the drug exerts its CV effects and whether there is a class effect. “But [this] could be a game changer, because we would love to have [antidiabetic] medications that not only control blood sugar but also reduce death and [other] hard events,” he said.

 

First CV Outcomes Trial in this Drug Class

Until now, none of the antiglycemic medications has also been shown to improve HF outcomes, Inzucchi explained. “We’ve actually been searching decades for a diabetes medicine that will not only lower blood glucose but also reduce cardiovascular complications,” he said in a press briefing. “And I would remind you that based on the 2008 FDA guidance to industry, all new diabetes medications need to be tested for cardiovascular safety before being allowed on the market,” he added.

EMPA-REG OUTCOME is the first published, large CV-outcome trial of an SGLT-2 inhibitor.

As previously described, the trial randomized 7028 adult patients who had type 2 diabetes and established CVD to receive 10 mg/day or 25 mg/day empagliflozin or placebo. The CVD included prior MI (46.6%), CABG (24.8%), stroke (23.3%), and peripheral artery disease (PAD) (20.8%).

The patients were also required to have an HbA1c level between 7% and 10%, body-mass index (BMI) <45, and, because the drug exerts its effects via the kidney, estimated glomerular filtration rate (eGFR) >30 mL/min/1.73 m2.

“Importantly, study medication was given upon a backdrop of standard care—antihyperglycemia therapy, as well as other evidence-based cardiovascular therapies such as statins, ACE inhibitors, and aspirin,” Inzucchi stressed.

 

Spotlight on HF Outcomes

The current analysis dove deeper into the heart-failure outcomes in the trial.

The risk of hospitalization for HF or CV death was consistently significantly lower in patients who received empagliflozin vs placebo, in subgroup analyses related to age, kidney function, and medication use (ACE inhibitors/angiotensin receptor blockers [ARBs], diuretics, beta-blockers, or mineralocorticoid-receptor antagonists).

Overall, the patients who received empagliflozin had a 34% reduced risk of being hospitalized for HF or dying from CV causes and a 39% reduced risk of being hospitalized for or dying from HF.

Risk of Hospitalization or Death, Empagliflozin vs Placebo

Outcome HR (95% CI) P
Hospitalization for HF or CV death 0.66 (0.55–0.79) <0.00001
Hospitalization for or death from HF 0.61 (0.47–0.79) <0.00001

Most patients (90%) did not have HF at baseline.

In the patients without HF at baseline, “as you might expect, [HF] hospitalizations were relatively small in number” (1.8% of patients on the study drug and 3.1% of patients on placebo), said Inzucchi. There was a statistically significant 41% reduced risk of HF hospitalization in patients without HF at baseline on the study drug vs placebo (HR 0.59, 95% CI 0.43–0.82).

In the smaller number of patients who did have HF at baseline, the rate of hospitalizations for HF was much higher (10.4% of patients on the study drug and 12.3% of patients on placebo). But in this case, the difference between patients on the study drug vs placebo was not statistically significant (HR 0.75, 95% CI 0.48–1.19).

The results were similar when the analysis was repeated for the combined outcome of hospitalization for HF or CV death.

“Not surprisingly,” adverse events were more common in sicker patients with baseline HF; genital infections, a well-known adverse event in drugs that increase glucose in the urine, were three times more common in those patients, said Inzucchi.

“I think these are very compelling data, but early days,” said Lloyd-Jones.

Inzucchi receives research grants from Genzyme and honoraria from Boehringer Ingelheim, Merck Sharp & Dome, Sanofi, Amgen, and Genzyme, and he is a consultant on advisory boards for Boehringer Ingelheim, Sanofi, and Amgen. Disclosures for the coauthors are listed in the abstract. Lloyd-Jones has no relevant financial relationships.

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