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Archive for the ‘Pharmaceutical Discovery’ Category

 

Two New Drugs for Inflammatory Bowel Syndrome Are Giving Patients Hope

Reporter: Stephen J. Williams, Ph.D.

Actavis Receives FDA Approval for VIBERZI (eluxadoline) for the Treatment of Irritable Bowel Syndrome with Diarrhea (IBS-D) in Adults -First in class treatment for IBS-D treats hallmark symptoms of IBS-D; abdominal pain and diarrhea

DUBLIN, May 27, 2015 /PRNewswire/ — Actavis plc (NYSE: ACT) announced today that VIBERZI™ (eluxadoline) was approved by the Food and Drug Administration (FDA) as a twice-daily, oral treatment for adults suffering from irritable bowel syndrome with diarrhea (IBS-D). VIBERZI (eluxadoline) has mixed opioid receptor activity, it is a mu receptor agonist, a delta receptor antagonist, and a kappa receptor agonist.

Logo – http://photos.prnewswire.com/prnh/20130124/NY47381LOGO

“The FDA’s approval of VIBERZI is the first step to providing physicians with a new, evidence-based, treatment option for their adult patients with IBS-D,” said David Nicholson, Executive Vice President, Actavis Global Brands R&D. “At Actavis, we are dedicated to providing new treatment options, and the development of new agents that help address the most bothersome symptoms of IBS-D. We are very pleased to be working with the FDA to advance this IBS-D treatment and we eagerly await DEA scheduling determination later this year.”

IBS-D is a multifactorial disorder marked by recurrent abdominal pain or discomfort and altered bowel function that affects as many as 15 million adult Americans, impacting about twice as many women as men.i,ii,iii There are few treatment options available for IBS-D, particularly options that relieve both the diarrhea and abdominal pain associated with IBS-D.

“The unpredictable symptoms experienced by patients with IBS-D can have a significant impact on everyday life,” said William D. Chey, MD, Nostrant Professor of Gastroenterology at the University of Michigan Health System. “It’s exciting when physicians are able to add an additional treatment option like VIBERZI to their toolbox for patients with IBS-D.”

The FDA has recommended that VIBERZI be classified as a controlled substance. This recommendation has been submitted to the U.S. Drug Enforcement Administration (DEA).  Once VIBERZI receives final scheduling designation, the updated label will be available. Pending final scheduling designation, product launch is anticipated in Q1 2016.

About VIBERZI

VIBERZI is an orally active compound indicated for the treatment of irritable bowel syndrome with diarrhea (IBS-D) in men and women. VIBERZI (eluxadoline) has mixed opioid receptor activity, it is a mu receptor agonist, a delta receptor antagonist, and a kappa receptor agonist.

Efficacy was established in two Phase III clinical studies, demonstrating significant superiority over placebo on the composite endpoint of simultaneous improvement in both abdominal pain and diarrhea at both 75 mg and 100 mg twice daily doses. The primary efficacy responder endpoint was evaluated over the duration of double-blind, placebo-controlled treatment. Response rates were compared based on patients who met the daily composite response criteria (improvement in both abdominal pain and stool consistency on the same day) for at least 50% of the days from weeks 1 to 12 (FDA endpoint) and weeks 1 to 26 (European Medicines Agency endpoint).

The most common adverse events in the two Phase III clinical trials were constipation (7% and 8% for eluxadoline 75 mg and 100 mg; 2% for placebo) and nausea (8% and 7% for eluxadoline 75 mg and 100 mg; 5% for placebo). Rates of severe constipation were less than 1% in patients receiving 75 mg and 100 mg eluxadoline. Rates of discontinuation due to constipation were low for both eluxadoline and placebo (≤2%) and similar rates of constipation occurred between the active and placebo arms beyond 3 months of treatment. A total of 2,426 subjects were enrolled across the two studies.

For more information including full prescribing information about VIBERZI at http://www.actavis.com/Actavis/media/PDFDocuments/VIBERZI_PI.pdf

About IBS-D

Irritable bowel syndrome with diarrhea (IBS-D) is a functional bowel disorder characterized by chronic abdominal pain and frequent diarrhea, which affects approximately 15 million patients in the U.S.  Although the exact cause of IBS-D is not known, symptoms are thought to result from a disturbance in the way the gastrointestinal tract and nervous system interact.

IBS-D can be debilitating and there are limited therapeutic options for managing the chronic symptoms. IBS-D is associated with economic burden in direct medical costs and indirect social costs such as absenteeism and lost productivity, along with decreased quality of life.

About Actavis
Actavis plc (NYSE: ACT), headquartered in Dublin, Ireland, is a unique, global pharmaceutical company and a leader in a new industry model—Growth Pharma. Actavis is focused on developing, manufacturing and commercializing innovative branded pharmaceuticals, high-quality generic and over-the-counter medicines and biologic products for patients around the world.

Actavis markets a portfolio of best-in-class products that provide valuable treatments for the central nervous system, eye care, medical aesthetics, gastroenterology, women’s health, urology, cardiovascular and anti-infective therapeutic categories, and operates the world’s third-largest global generics business, providing patients around the globe with increased access to affordable, high-quality medicines. Actavis is an industry leader in research and development, with one of the broadest development pipelines in the pharmaceutical industry and a leading position in the submission of generic product applications globally.

With commercial operations in approximately 100 countries, Actavis is committed to working with physicians, healthcare providers and patients to deliver innovative and meaningful treatments that help people around the world live longer, healthier lives.

Actavis intends to adopt a new global name – Allergan – pending shareholder approval in 2015.

For more information, visit Actavis’ website at www.actavis.com.

Actavis Cautionary Statement Regarding Forward-Looking Statements

Statements contained in this communication that refer to Actavis’ estimated or anticipated future results, including estimated synergies, or other non-historical facts are forward-looking statements that reflect Actavis’ current perspective of existing trends and information as of the date of this communication. Actual results may differ materially from Actavis’ current expectations depending upon a number of factors affecting Actavis’ business. These factors include, among others, the timing and success of product launches; the difficulty of predicting the timing or outcome of product development efforts and regulatory agency approvals or actions, if any; market acceptance of and continued demand for Actavis’ products; difficulties or delays in manufacturing; and such other risks and uncertainties detailed in Actavis’ periodic public filings with the Securities and Exchange Commission, including but not limited to Actavis plc’s Quarterly Report on Form 10-Q for the quarter ended March 31, 2015 and from time to time in Actavis’ other investor communications. Except as expressly required by law, Actavis disclaims any intent or obligation to update or revise these forward-looking statements.

i Camilleri M. Current and future pharmacological treatments for diarrhea-predominant irritable bowel syndrome. Expert Opinion on Pharmacotherapy. 2013;14:1151.

ii Grundmann O, Yoon SL. Irritable bowel syndrome: epidemiology, diagnosis, and treatment: an update for health-care practitioners. Journal of Gastroenterology and Hepatology. 2010;25:691–699.

iii Eluxadoline Xifaxin Summary Final. November 2014.

CONTACTS:
Investors:
Lisa DeFrancesco
(862) 261-7152

Media:
David Belian
(862) 261-8141

SOURCE Actavis plc

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Synergy’s Looming FDA Filing Makes It Pharma of the Month

By James Passeri Follow

| Jan 05, 2016 | 8:39 AM EST  | 0

Keep an eye on Synergy Pharmaceuticals (SGYP) this month: Analysts like it, its shares have waned since a big spike this summer, and the official filing of its star product is expected any day.

When the New York-based pharmaceutical company, which specializes in gastrointestinal therapy, announced that it passed clinical trials on its flagship drug plecanatide this summer, shares rocketed 95%.

But today analysts appear mystified at why the stock has receded 45% from its July high, especially with plecanatide’s new drug application with the Food and Drug Administration expected this month. (It’s currently trading below $6, and the consensus price target is over $13, according to data provided by Bloomberg.)

Synergy should be raking in $600 million from plecanatide, a daily tablet that treats patients with irritable bowel syndrome (IBS), within five years of obtaining FDA approval (expected in 2017, according to equity research firm BTIG. Synergy currently has a market capitalization of just $645 million.

BTIG’s $11 price target is also buoyed by roughly $142 million on the balance sheet, as well as newly appointed management including CFO Gary Sender and COO Troy Hamilton, both former executives at pharma success story Shire (SHPG). Though Shire shares are down just under 4% over the past 12 month, they have rocketed 112% over the past two years.

Synergy also stands to benefit from a growing demand for gastrointestinal treatments, feeding the appetite of Big Pharma for potential acquisitions, according to BTIG.

“With about 45 million Americans suffering from chronic constipation and IBS, and major companies like Allergan(AGN) and Valeant (VRX) focusing their marketing efforts on GI treatments, it seems logical to imagine SGYP as a takeover candidate,” BTIG analyst Timothy Chiang wrote in a November report.

Whether or not this leads to a buyout or another stock surge, Synergy certainly can be counted on for a healthy dose of small-cap volatility as its chief product takes the final steps toward reaching its customers.

 

 

Synergy Pharmaceuticals Announces Successful End-of-Phase 2 Meeting with FDA for Plecanatide in Irritable Bowel Syndrome with Constipation

Download PDF

Pivotal Phase 3 IBS-C Program to be Initiated in the Fourth Quarter of 2014

NEW YORK– Synergy Pharmaceuticals Inc. (NASDAQ:SGYP) today announced that it has successfully completed an End-of-Phase 2 meeting with the U.S. Food and Drug Administration (FDA) on its lead drug plecanatide for the treatment of irritable bowel syndrome with constipation (IBS-C). Agreement was reached with the FDA for the plecanatide pivotal phase 3 IBS-C clinical development program that is scheduled to begin in the fourth quarter of this year.

“We are very pleased with the outcome of our meeting with the FDA and have a clear path forward to start the IBS-C registration program with plecanatide this year,” said Dr. Gary S. Jacob, Chairman and CEO of Synergy. “The pivotal phase 3 IBS-C trials will include both 3.0 mg and 6.0 mg plecanatide, which are consistent with the doses currently being evaluated in our phase 3 chronic idiopathic constipation (CIC) program. Plecanatide has demonstrated a clinical dose-response for efficacy with an excellent tolerability profile that is observed across trials. This is an important advantage as we look to bring two doses to market in both indications and provide physicians with options for addressing individual patient needs.”

Synergy’s pivotal phase 3 IBS-C clinical development program will consist of two registration trials, each including 1,050 patients who will receive either placebo, 3.0 mg or 6.0 mg plecanatide. IBS-C patients successfully completing either of the 12-week placebo-controlled registration trials will be offered enrollment into a long-term safety trial in order to complement and support the ongoing long-term safety database for the CIC indication.

About Plecanatide

Plecanatide is Synergy’s lead uroguanylin analog in late-stage clinical development to treat patients with CIC and IBS-C. Uroguanylin is a natural gastrointestinal (GI) hormone produced by humans in the small intestine and plays a key role in regulating the normal functioning of the digestive tract through its activity on the guanylate cyclase-C (GC-C) receptor. The GC-C receptor is known to be a primary source for stimulating a variety of beneficial physiological responses. Orally administered plecanatide mimics uroguanylin’s functions by binding to and activating the GC-C receptor to stimulate fluid and ion transit required for normal bowel function. Synergy has successfully completed a phase 2b trial of plecanatide in 951 patients with CIC and is currently enrolling patients in two pivotal phase 3 CIC trials. The company also recently announced positive top-line data results from a phase 2b dose-ranging study with plecanatide in patients with IBS-C.

About Synergy Pharmaceuticals

Synergy Pharmaceuticals (NASDAQ:SGYP) is a biopharmaceutical company focused on the development of novel therapies based on the natural human hormone, uroguanylin, to treat GI diseases and disorders. Synergy has created two unique analogs of uroguanylin – plecanatide and SP-333 – designed to mimic the natural hormone’s activity on the GC-C receptor and target a variety of GI conditions. SP-333 is currently in phase 2 development for opioid-induced constipation and is also being explored for ulcerative colitis. For more information, please visit www.synergypharma.com.

 

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Genomics’ Proprietary Statistical Analysis Tools and Integrated Multi-Phenotype Database to be used to Support Research and Development at Vertex Pharmaceuticals, Volume 2 (Volume Two: Latest in Genomics Methodologies for Therapeutics: Gene Editing, NGS and BioInformatics, Simulations and the Genome Ontology), Part 1: Next Generation Sequencing (NGS)

Genomics’ Proprietary Statistical Analysis Tools and Integrated Multi-Phenotype Database to be used to Support Research and Development at Vertex Pharmaceuticals

Reporter: Aviva Lev-Ari, PhD, RN

 

 

Press release

04 January 2016

Genomics and Vertex Collaborate to Identify Target Therapeutic Pathways

 

Genomics’ Proprietary Statistical Analysis Tools and Integrated Multi-Phenotype Database to be used to Support Research and Development at Vertex Pharmaceuticals

 

Oxford, UK, 04 January 2016: Genomics plc (“Genomics”), a leading analysis company developing algorithms, data resources, and software solutions to uncover the relationships between genetic variation and human disease, today announced that Vertex Pharmaceuticals will use Genomics’ integrated database and state-of-the-art analysis tools to inform its drug research and development.  These tools aim to provide confidence in the rationale for targeting Vertex’s pathways of interest for the treatment of certain diseases and to identify potential safety concerns and repositioning opportunities.

 

Genomics has developed a unique analytical platform for genome analysis and interpretation. The platform combines proprietary algorithms and software with the Company’s integrated genome-phenome database and analytical expertise to learn about human biology.  Genomics has several existing partnerships with large pharmaceutical companies, and in clinical genomics is a Platform Partner for Genomics England, the company undertaking the 100,000 Genomes Project in the UK.

 

John Colenutt, CEO, Genomics plc, said: “Pharmaceutical and biotech companies are increasingly using human genetic data in research to increase the chance of success in drug development.  We are excited that Vertex has chosen to use Genomics’ proprietary technology, integrated database and tools to support them in this aim.”

 

Paul de Bakker, Ph.D., Head of Computational Genomics for Vertex said: “Vertex is focused on advancing research programs where disease mechanisms are validated by human biology.  Our collaboration with Genomics is aimed at obtaining insights into the genetic underpinnings of specific targets and diseases to help predict which potential medicines may have success moving from discovery research toward patients.”

 

ENDS

 

Photo: John Colenutt, CEO, Genomics plc. For a high resolution image please contact lorna.cuddon@zymecommunications.com

 

For further information please contact:

 

Zyme Communications

Lorna Cuddon

Tel: +44 (0)7811996942

Email: lorna.cuddon@zymecommunications.com

 

About Genomics plc http://www.genomicsplc.com/

Genomics was founded by four leading Oxford academics, including Professor Peter Donnelly, Director of The Wellcome Trust Centre for Human Genetics, and Professor Gil McVean, Director of The Big Data Institute. The Company has developed a unique platform for genomic sequence data analysis and interpretation which combines world-leading expertise in statistical analysis and data mining with a unique integrated database linking genotypes and phenotypes. Genomics England, the company running the UK project to undertake whole genome sequencing of 100,000 patients in the National Health Service, has appointed Genomics plc as a Platform Partner and has also awarded the Company three SBRI grants. Genomics plc is also working with four major pharmaceutical companies to bring the benefits of genomic analysis to their drug development processes. The Company is supported by major investors, including IP Group, Invesco Perpetual, Woodford Investment Management and Lansdowne Partners.

SOURCE

From: Lorna Cuddon <lorna.cuddon@zymecommunications.com>

Reply-To: <lorna.cuddon@zymecommunications.com>

Date: Monday, January 4, 2016 at 4:11 AM

To: Aviva Lev-Ari <AvivaLev-Ari@alum.berkeley.edu>

Subject: Genomics and Vertex Collaborate to Identify Target Therapeutic Pathways

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Top Seven big Pharma in Thomson Reuters 2015 Top 100 Global Innovators

Reporter: Aviva Lev-Ari, PhD, RN

 

NAME COUNTRY PREVIOUS WINNER PREVIOUS WINNER PREVIOUS WINNER
Abbott USA

2014

2013
Bayer GERMANY

2011

Boehringer

Ingelheim

GERMANY
Brinstol-Myers Squibb USA

2011

J&J USA

2014

2013

Novartis Switzerland

2014

Roche Switzerland

2014

2013

2012, 2011

SOURCE

http://images.info.science.thomsonreuters.biz/Web/ThomsonReutersScience/%7Beb621c66-e238-4994-b1b5-9f5f9f897a75%7D_Thomson_Reuters_Top100_Global_Innovators_final.pdf

Introducing the Thomson Reuters 2015 Top 100 Global Innovators Organization Country Industry Previous Winners

New in 2015:

Top Bay Area Innovators For the first time, Thomson Reuters analysts studied Silicon Valley, known as the technology and innovation corridor in the US, to see which companies are leading there. Following a methodology similar to that of the Top 100 Global Innovators, except for the Volume criteria, all companies headquartered or with a major subsidiary in that region were investigated. The Top Bay Area Innovators list can be found on page 19. There are 11 companies that overlap with the Top 100 Global Innovators; meaning 31 percent of the leading US innovators and 11 percent of the world’s top innovators are located in the Bay Area.

Absentees:

The United Kingdom is absent from the list yet again this year. Innovation incentives introduced in the UK, such as Patent Box legislation, do not have enough legacy yet to have had an impact. Additionally, the UK spends much less on R&D as a percentage of Gross Domestic Product (GERD) than the Top 100 Global Innovator countries do. The UK’s GERDis 1.63 percent, whereas, for example, Japan’s is 3.47 percent.5 The region’s underuse of its patent system and lack of significant commercialization keep the UK from making the list once again.

China is also absent from the 2015 list. It joined the innovation-leader ranks in 2014, for the first time, via Huawei, however wasn’t able to replicate that performance to join again in 2015. A big factor contributing to China’s shortcoming is the fact that most of its innovation is domestic and therefore is not realized outside of its borders. In fact, only about six percent of China’s innovation activity is protected, and commercialized, outside of China. In order for China to see more organizations join this prestigious group, it will need to think more internationally and look to bring its inventions to market around the world. There are 27 companies that dropped from the prior year (see Table 1 on page 12), including AT&T, IBM, Siemens and Xerox. While these companies are still innovating at noteworthy levels, their respective scores across all of the metrics did not advance them to the Top 100. It’s expected that we will see them again in the future.

Patent Reform

There’s been some influential intellectual property legislation that is shaping how companies innovate, where they seek protection and when. Some of these initiatives include the America Invents Act and the Patent Trial & Appeal Board; the European unitary patent and unified patent court; the UK’s Patent Box legislation; and impactful court rulings, such as Alice 101 in the US. The landscape is ripe with reform as patent offices and filers grapple with how best to implement these changes given their goals and needs. Despite these changes, one thing remains certain: the patent system is vital to protecting innovation and to the economic wellbeing of organizations, nations and our world. OECD statistics confirm that nations with higher GDPs have similarly high patent filing rates (aka strong patent infrastructures), whereas the converse holds equally true. One way for developing nations to propel their economies forward is to invest in innovation and building a reliable intellectual property infrastructure.

Methodology

The Thomson Reuters Top 100 Global Innovator methodology analyzes patent and citation data across four main criteria:

  • volume,
  • success,
  • globalization and
  • influence

using Thomson Reuters solutions including Derwent World Patents Index (DWPI), Thomson Innovation and Derwent Patent Citations Index (PCI).

Volume

Volume is the first criteria. An organization must have at least 100 unique inventions protected by a granted patent over the most recent five year period to advance for further analysis. A unique invention is defined as one instance of a published application or granted patent for an idea for which protection is sought. In DWPI, these are called “basic” patents. DWPI provides access to 50 patentissuing authorities. Subsequent filings for the same invention are recorded as equivalents and collated into patent families which, for this analysis, were not included. Once an organization passes the volume stage gate, it is measured across the next three criteria: success, globalization and influence.

Success

The success metric covers the ratio of inventions described in published applications (those patents which are filed and publicly published by the patent office but not yet granted) to inventions protected with granted patents over the most recent five years. Not all patent applications pass through the examination process and are granted.

Globalization

Globalization has to do with the value an organization places on an invention by protecting it across the major world markets. The premise being that inventions protected in all four of the Thomson Reuters Quadrilateral Patent Index authorities: the Chinese Patent Office, the European Patent Office, the Japanese Patent Office and the United States Patent & Trademark Office, are deemed to be of significant value to the organization. A ratio is created of the inventions protected across the Quadrilateral Patent Index authorities versus the total volume for that period. Influence Finally,

Influence

influence is the downstream impact of an invention, measured by how often it is cited by other organizations. Via the Derwent Patent Citation Index, citations to an organization’s patents are counted over the most recent five years, excluding self citations. Scores for each of these areas are tallied and combined to produce the Top 100 Global Innovator list.

Top 100 Global Innovator list

3M Company USA Chemical 2011, 2012, 2013, 2014

Abbott Laboratories USA Pharmaceutical 2013, 2014

Advanced Micro Devices USA Semiconductor & Electronic Components 2011, 2012, 2013, 2014

Air Products USA Chemical 2013

Aisin Seiki Japan Automotive 2014

Alcatel-Lucent France Telecommunication & Equipment 2011, 2012, 2013, 2014

Alstom France Electrical Power

Amazon USA Media Internet Search & Navigation Systems

Analog Devices USA Semiconductor & Electronic Components 2011, 2012, 2013

Apple USA Telecommunication & Equipment 2011, 2012, 2013, 2014

Arkema France Chemical 2011, 2012, 2013, 2014

Avago Technologies (previously LSI) USA Semiconductor & Electronic Components 2011,2012, 2013, 2014

BASF Germany Chemical 2011, 2014

Bayer Germany Pharmaceutical 2011

Becton Dickinson USA Medical Devices

Blackberry Canada Telecommunication & Equipment 2013, 2014

Boehringer Ingelheim Germany Pharmaceutical

Boeing USA Aerospace 2011, 2012, 2013, 2014

Bridgestone Japan Automotive

Bristol-Myers Squibb USA Pharmaceutical 2011

Canon Japan Imaging 2011, 2012, 2013, 2014

Casio Computer Japan Computer Hardware 2014

Chevron USA Oil & Gas 2011, 2012, 2013

CNRS, The French National Center for Scientific Research France Scientific Research 2011, 2012, 2013, 2014

CEA–The French Alternative Energies and Atomic Energy Commission France Scientific Research 2011, 2012, 2013, 2014

Daikin Industries Japan Industrial 2011, 2014

Dow Chemical Company USA Chemical 2011, 2012, 2013, 2014

DuPont USA Chemical 2011, 2012, 2013, 2014

Emerson Electric USA Electrical Products 2012, 2013, 2014

Ericsson Sweden Telecommunication & Equipment 2011, 2012, 2013, 2014

Exxon Mobil USA Oil & Gas 2011, 2012, 2013

Fraunhofer Germany Scientific Research 2013, 2014

Freescale Semiconductor USA Semiconductor & Electronic Components 2013, 2014

Fujifilm Japan Imaging 2012, 2013, 2014

Fujitsu Japan Computer Hardware 2011, 2012, 2013, 2014

Furukawa Electric Japan Electrical Products 2014

General Electric USA Consumer Products 2011, 2012, 2013, 2014

Google (now Alphabet Inc.) USA Media Internet Search & Navigation Systems 2012, 2013, 2014

Hitachi Japan Computer Hardware 2011, 2012, 2013, 2014

Honda Motor Japan Automotive 2011, 2012, 2013, 2014

Honeywell International USA Electrical Products 2011, 2012, 2013, 2014

Idemitsu Kosan Japan Oil & Gas

IFP Energies Nouvelles France Scientific Research 2011, 2012, 2013, 2014

Intel USA Semiconductor & Electronic Components 2011, 2012, 2013, 2014

InterDigital USA Telecommunication & Equipment

Japan Science and Technology Agency (JST) Japan Scientific Research

Johnson & Johnson USA Pharmaceutical 2013, 2014

Johnson Controls USA Automotive

JTEKT Japan Automotive Kawasaki Heavy Industries Japan Industrial

Kobe Steel Japan Primary Metals 2014

Komatsu Japan Industrial 2014

Kyocera Japan Electrical Products 2014

LG Electronics S Korea Consumer Products 2011, 2012, 2013, 2014

Lockheed Martin USA Transportation Equipment 2012, 2013, 2014

LSIS S Korea Electrical Power 2011, 2012, 2013, 2014

Makita Corporation Japan Machinery

Marvell USA Semiconductor & Electronic Components 2012, 2013, 2014

MediaTek Taiwan Semiconductor & Electronic Components 2014

Medtronic USA Medical Devices 2014

Micron USA Semiconductor & Electronic Components 2012, 2013, 2014

Microsoft USA Computer Software 2011, 2012, 2013, 2014

Mitsubishi Electric Japan Electrical Products 2011, 2012, 2013, 2014

Mitsubishi Heavy Industries Japan Machinery 2012, 2013, 2014

Mitsui Chemicals Japan Chemical NEC Japan Computer Hardware 2011, 2012, 2013, 2014

Nike USA Consumer Products 2012, 2013, 2014

Nippon Steel & Sumitomo Metal Japan Primary Metals 2012, 2013, 2014

Nissan Motor Japan Automotive 2013, 2014

Nitto Denko Japan Chemical 2011, 2012, 2013, 2014

Novartis Switzerland Pharmaceutical 2014 2015

NTT Japan Telecommunication & Equipment 2011, 2012, 2013, 2014

Olympus Japan Healthcare Products 2011, 2012, 2013, 2014

Oracle USA Computer Software 2013, 2014

Panasonic Japan Consumer Products 2011, 2012, 2013, 2014

Philips Netherlands Electrical Products 2011, 2013, 2014

Qualcomm USA Semiconductor & Electronic Components 2011, 2012, 2013, 2014

Roche Switzerland Pharmaceutical 2011,2012,2013, 2014

Safran France Transportation Equipment 2013, 2014

Saint-Gobain France Industrial 2011, 2012, 2013, 2014

Samsung Electronics S Korea Semiconductor & Electronic Components 2011, 2012, 2013, 2014

Seagate USA Computer Hardware 2012, 2013, 2014

Seiko Epson Japan Imaging 2011, 2012, 2013, 2014

Shin-Etsu Chemical Japan Chemical 2011, 2012, 2013, 2014

Showa Denko Japan Chemical

Solvay Belgium Chemical 2012

Sony Japan Consumer Products 2011, 2012, 2013, 2014

Sumitomo Electric Japan Industrial 2011, 2013, 2014

Symantec USA Computer Software 2011, 2012, 2013, 2014

TE Connectivity Switzerland Semiconductor & Electronic Components 2011, 2012, 2013, 2014

Thales France Transportation Equipment 2012, 2013

Toray Japan Chemical

Toshiba Japan Computer Hardware 2011, 2012, 2013, 2014

Toyota Motor Japan Automotive 2011, 2012, 2013, 2014

Valeo France Automotive 2012, 2013

Xilinx USA Semiconductor & Electronic Components 2012, 2013, 2014

Yamaha Japan Consumer Products 2011, 2014

Yamaha Motor Japan Automotive

Yaskawa Electric Japan Industrial

Yazaki Japan Automotive

 

SOURCE

http://images.info.science.thomsonreuters.biz/Web/ThomsonReutersScience/%7Beb621c66-e238-4994-b1b5-9f5f9f897a75%7D_Thomson_Reuters_Top100_Global_Innovators_final.pdf

 

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Monoclonal Antibody Drug Immunogenicity

Larry H. Bernstein, MD, FCAP, Curator

LPBI

 

Immunogenicity assessment of monoclonal antibodies
Category: Abstracted Scientific Content
Author(s):    Michelle Derbyshire, PhD, GaBI Online Editor

GaBI 2015; 4(4).  http://gabi-journal.net/immunogenicity-assessment-of-monoclonal-antibodies.html

The most critical safety concern relating to biologicals (including biosimilars) is immunogenicity. This is especially important for monoclonal antibody (mAb) biologicals, which are large molecules with complex structures and functions and which represent the largest class of biologicals.

Immunogenicity is the ability to induce a humoral and/or cellmediated immune response. Most biologicals induce immune responses, because they are polypeptides or proteins and might therefore be recognized by the immune system as foreign. However, in most cases, the presence of antibodies is harmless and has little clinical consequence. The problem is that some cases of immunogenicity can cause problems or even be fatal, such as in the case of pure red cell aplasia. Such cases raise concerns about the potential clinical consequences of extensive use of biologicals and biosimilars. Given that biologicals may induce such unwanted immune responses it is essential to investigate the immunogenicity of a biological prior to marketing approval. This is especially important when considering that the problem with immunogenicity is that it is impossible to predict.

The immune response is influenced by many factors and data generated in pre-licensure studies may prove difficult to assess for regulators. Immunogenicity can be influenced by the product itself, e.g. structure, aggregation, dose, duration, but can also be affected by the patient, e.g. age, gender, ethnicity, immune status, genetic make-up. The knowledge and expertise required for assessment of immunogenicity requires a thorough understanding of animal and human immunology as well as specific product characteristics, including mechanism of action, antibody assays and assessment of results in a given clinical context. The appropriate interpretation of immunogenicity data is of critical importance for defining the safety profile of an mAb.

At the World Health Organization (WHO) implementation workshop on Evaluation of Biotherapeutic Products, held in Seoul, Republic of Korea, in May 2014, regulators and manufacturers participated in a workshop evaluating two case studies mimicking a real situation evaluating immunogenicity studies for two fictitious mAb products.

It was expected that after completing the workshop, participants would have an understanding of how immunogenicity studies are conducted and assessed. In addition, how the information obtained is used to make decisions relating to the appropriateness of the studies and how the observed immunogenicity impacts on the clinical use of the mAbs was also covered.

Predictive immunogenicity modelling algorithms, such as in silico and T cell studies, are showing promise for identification of potential immunogenic T cell epitopes. However, despite the promise of these predictive tests, human clinical data is still needed for determining immunogenicity. This cannot be replaced by use of animal or in vitro or in silico tools.

Suitability of the assays for immunogenicity assessment was highlighted as a topic of critical importance for conducting the case studies. In the case of biosimilars, the methods used to measure the incidence of immunogenicity and the immunogenic potential of biosimilars and reference biologicals can significantly impact the comparability of the two molecules, and therefore great care must be taken in the development and execution of assays to measure immunogenicity. The value of reviewing raw data for each individual subject in order to assess the impact of immunogenicity on effi cacy and safety was also clearly demonstrated in the case studies.

WHO guidelines state that the monitoring period for immunogenicity assessment depends on the intended duration of treatment and the expected time of antibody development. However, one of the examples in the case studies illustrated that a longer period of observation may be necessary to increase accuracy in assessing immunogenicity.

Discussion on additional indications and the need for additional immunogenicity studies revealed that the expectations in terms of the size and design of such studies differ among regulators and manufacturers. However, there was a consensus that the original case studies were limited and that additional data needed to be generated.

When it comes to biosimilar mAbs, it becomes an even more sophisticated exercise, and includes the challenge of addressing correlation between bioanalytical signals and clinical endpoints. The case studies highlighted the need to assess the methods used for appropriateness for use for their intended purpose and to interpret the data generated, taking into account their limitations.

 

 

 

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Hyper Innovations in Pharma 2015

Reporter : Gérard Henri Loiseau, ESQ

 

Bio Pharma 2015: Soaring to New Heights

Pharmaceutical Manufacturing, Steven E. Kuehn, Nov 10 2015

 

Growth Statistics

Bio Pharma is an “evolving accelerating science” (John J. Castellani, PhRMA).

R&D spending which was

$2 billion in 1980 is estimated

$51,6 billion in 2013,

it represents 1 in every 5 dollars spent on domestic R&D in the US.

90% is spent on Clinical Trials,

6199 Clinical Trials in 2013.

>$2.6 billion is the cost estimated to develop and bring a new drug on the market

In 2014 FDA approved 44 drugs, so a good year both for NCEs and NBEs, Forbes Magazine, Bernard Munos

 

Hyper Innovation

According to Mr. Munos the main players are

  • Novartis
  • J&J
  • GSK
  • AstraZeneca

Deloitte’s report “Advanced Biopharmaceutical Manufacturing: An Evolution, Underway” identifies several targets:

  • Continuous manufacturing
  • New process analytical tools
  • Single-use systems
  • Alternative downstream processing technique

Amgen vice president Jim Thomas points out:

  • A more competitive business environment
  • A more challenging reimbursement environment
  • A more conservative regulatory environment

There is a necessity for the highest quality manufacturing environments.

“Design the molecule. Design the Process. Design the plant,” is his credo, which generates its “transforming Biotechnology Manufacturing” initiative

  • Trends in analytical tools will support operational excellence
  • Bio therapeutics manufacturing will be centered on cell-based systems
  • A greater productivity within a smaller footprint will be allowed
  • Flexibility is the goal thanks to standardized processes across all stages

These are the keys to operational excellence.

 

Process Analytical Technology (PAT)

FDA’s perspective is that ”quality cannot be tested into products; it should be built-in or should be by design”

Deloitte estimates that PAT can promote fewer recalls and less scrap inventory.

 

Towards a continuous future?

A recognized potential for small molecule drugs, and some companies have developed this continuous technology.

Deloitte’s study says that FDA views continuous manufacturing as consistent with the FDA’s quality by design efforts.

How to define a batch in case of product recall is a true challenge, which means that new measurements methods are needed.

Continuous manufacturing opposed to efficient, well-planned and engineered facilities, which is the vision developed by Amgen and others innovative players.

SOURCE

http://www.pharmamanufacturing.com/articles/2015/bio-pharma-2015/

 

 

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Muscular dystrophy has deficient stem cell dystrophin

Larry H. Bernstein, MD, FCAP, Curator

LPBI

Article ID #198: Muscular dystrophy has deficient stem cell dystrophin. Published on 11/21/2015

WordCloud Image Produced by Adam Tubman

Dystrophin Deficient Stem Cell Pathology

Muscular Dystrophy is a Stem Cell-Based Disease

Because DMD results from mutations in the dystrophin gene, the vast majority of muscular dystrophy research was based on a simple model in which the Dystrophin protein played a structural role in the structural integrity of muscle fibers. Abnormal versions of the Dystrophin protein caused the muscle fibers to become damaged and die as a result of contraction.  Dystrophin anchors the cytoskeleton of the muscle fibers, which are essential for muscle contraction, to the muscle cell membrane, and then to the extracellular matrix outside the cell that serves as a foundation upon which the muscle cells are built.

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However in this current study, Rudnicki and his team discovered that muscle stem cells also express the dystrophin protein. This is a revelation because Dystrophin was thought to be protein that ONLY appeared in mature muscle. However, in this study, it became exceedingly clear that in the absence of Dystrophin, muscle stem cells generated ten-fold fewer muscle precursor cells, and, consequently, far fewer functional muscle fibers. Dystrophin is also a component of a signal transduction pathway that allows muscle stem cells to properly ascertain if they need to replace dead or dying muscle.  Muscle stem cells repair the muscle in response to injury or exercise by dividing to generate precursor cells that differentiate into muscle fibers.

Even though Rudnicki used mice as a model system in these experiments, the Dystrophin protein is highly conserved in most vertebrate animals. Therefore, it is highly likely that these results will also apply to human muscle stem cells.

Gene therapy experiments and trials are in progress and even show some promise, but Rudnicki’s work tells us that gene therapy approaches must target muscle stem cells as well as muscle fibers if they are to work properly.

“We’re already looking at approaches to correct this problem in muscle stem cells,” said Dr. Rudnicki.

This paper has received high praise from the likes of Ronald Worton, who was one of the co-discovers of the dystrophin gene with Louis Kunkel in 1987.

Early pathogenesis of Duchenne muscular dystrophy modelled in patient-derived human induced pluripotent stem cells

Emi Shoji, Hidetoshi Sakurai, Tokiko Nishino, Tatsutoshi Nakahata, Toshio Heike, Tomonari Awaya, Nobuharu Fujii, Yasuko Manabe, Masafumi Matsuo & Atsuko Sehara-Fujisawa

Scientific Reports 5, Article number: 12831 (2015)   http://dx.doi.org:/10.1038/srep12831

Duchenne muscular dystrophy (DMD) is a progressive and fatal muscle degenerating disease caused by a dystrophin deficiency. Effective suppression of the primary pathology observed in DMD is critical for treatment. Patient-derived human induced pluripotent stem cells (hiPSCs) are a promising tool for drug discovery. Here, we report an in vitro evaluation system for a DMD therapy using hiPSCs that recapitulate the primary pathology and can be used for DMD drug screening. Skeletal myotubes generated from hiPSCs are intact, which allows them to be used to model the initial pathology of DMD in vitro. Induced control and DMD myotubes were morphologically and physiologically comparable. However, electric stimulation of these myotubes for in vitro contraction caused pronounced calcium ion (Ca2+) influx only in DMD myocytes. Restoration of dystrophin by the exon-skipping technique suppressed this Ca2+ overflow and reduced the secretion of creatine kinase (CK) in DMD myotubes. These results suggest that the early pathogenesis of DMD can be effectively modelled in skeletal myotubes induced from patient-derived iPSCs, thereby enabling the development and evaluation of novel drugs.

Duchenne muscular dystrophy (DMD) is characterised by progressive muscle atrophy and weakness that eventually leads to ambulatory and respiratory deficiency from early childhood1. It is an X-linked recessive inherited disease with a relatively high frequency of 1 in 3500 males1,2.DMD, which is responsible for DMD, encodes 79 exons and produces dystrophin, which is one of the largest known cytoskeletal structural proteins3. Most DMD patients have various types of deletions or mutations in DMD that create premature terminations, resulting in a loss of protein expression4. Several promising approaches could be used to treat this devastating disease, such as mutation-specific drug exon-skipping5,6, cell therapy7, and gene therapy1,2.

Myoblasts from patients are the most common cell sources for assessing the disease phenotypes of DMD11,12. …Previous reports have shown that muscle cell differentiation from DMD patient myoblasts is delayed and that these cells have poor proliferation capacity compared to those of healthy individuals11,12. Our study revealed that control and DMD myoblasts obtained by activating tetracycline-dependent MyoD transfected into iPS cells (iPStet-MyoD cells) have comparable growth and differentiation potential and can produce a large number of intact and homogeneous myotubes repeatedly.

The pathogenesis of DMD is initiated and progresses with muscle contraction. The degree of muscle cell damage at the early stage of DMD can be evaluated by measuring the leakage of creatine kinase (CK) into the extracellular space15. Excess calcium ion (Ca2+) influx into skeletal muscle cells, together with increased susceptibility to plasma membrane injury, is regarded as the initial trigger of muscle damage in DMD19,20,21,22,23,24. Targeting these early pathogenic events is considered essential for developing therapeutics for DMD.

In this study, we established a novel evaluation system to analyse the cellular basis of early DMD pathogenesis by comparing DMD myotubes with the same clone but with truncated dystrophin-expressing DMD myotubes, using the exon-skipping technique. We demonstrated through in vitro contraction that excessive Ca2+ influx is one of the earliest events to occur in intact dystrophin-deficient muscle leading to extracellular leakage of CK in DMD myotubes.

Generation of tetracycline-inducible MyoD-transfected DMD patient-derived iPSCs (iPStet-MyoD cells)

Figure 1: Generation and characterization of control and DMD patient-derived Tet-MyoD-transfected hiPS cells.   Full size image

Morphologically and physiologically comparable intact myotubes differentiated from control and DMD-derived hiPSCs

Figure 2: Morphologically and physiologically comparable skeletal muscle cells differentiated from Control-iPStet-MyoD and DMD-iPStet-MyoD.   Full size image

Exon-skipping with AO88 restored expression of Dystrophin in DMD myotubes differentiated from DMD-iPStet-MyoD cells

 

Figure 3: Restoration of dystrophin protein expression by AO88.   Full size image

 
Restored dystrophin expression attenuates Ca2+ overflow in DMD-Myocytes

 

Figure 4: Restored expression of dystrophin diminishes Ca2+ influx in DMD muscle in response to electric stimulation.   Full size image


Ca2+ influx provokes skeletal muscle cellular damage in DMD muscle

 

Figure 5: Ca2+ influx induces prominent skeletal muscle cellular damage in DMD-Myocytes.   Full size image

 

Skeletal muscle differentiation in myoblasts from DMD patients is generally delayed compared to that in healthy individuals11,36,37.  Our differentiation system successfully induced the formation of myotubes from DMD patients, and the myotubes displayed analogous morphology and maturity compared with control myotubes (Fig. 2a–c).  Comparing myotubes generated from patient-derived iPS cells with those derived from the same DMD clones but expressing dystrophin by application of the exon-skipping technique enabled us to demonstrate the primary cellular phenotypes in skeletal muscle solely resulting from the loss of the dystrophin protein (Fig. 4b).  Our results demonstrate that truncated but functional dystrophin protein expression improved the cellular phenotype of DMD myotubes.

In DMD, the lack of dystrophin induces an excess influx of Ca2+ , leading to pathological dystrophic changes22. We consistently observed excess Ca2+ influx in DMD-Myocytes compared to Control-Myocytes (Supplementary Figure S3a and S3b) in response to electric stimulation. TRP channels, which are mechanical stimuli-activated Ca2+ channels40that are expressed in skeletal muscle cells41, can account for this pathogenic Ca2+ influx…

In conclusion, our study revealed that the absence of dystrophin protein induces skeletal muscle damage by allowing excess Ca2+ influx in DMD myotubes. Our experimental system recapitulated the early phase of DMD pathology as demonstrated by visualisation and quantification of Ca2+ influx using intact myotubes differentiated from hiPS cells.  This evaluation system significantly expands prospective applications with regard to assessing the effectiveness of exon-skipping drugs and also enables the discovery of drugs that regulate the initial events in DMD.

Duchenne muscular dystrophy affects stem cells, University of Ottawa study finds  

New treatments could one day be available for the most common form of muscular dystrophy after a study suggests the debilitating genetic disease affects the stem cells that produce healthy muscle fibres.

The findings are based on research from the University of Ottawa and The Ottawa Hospital, published Monday in the journal Nature Medicine.

For nearly two decades, doctors had thought the muscular weakness that is the hallmark of the disease was due to problems with human muscle fibers, said Dr. Michael Rudnicki, the study’s senior author.

The new research shows the specific protein characterized by its absence in Duchenne muscular dystrophy normally exists in stem cells.

Dystrophin protein found in stem cells

“The prevailing notion was that the protein that’s missing in Duchenne muscular dystrophy — a protein called dystrophin — was not involved at all in the function of the stem cells.”

http://soundcloud.com/cbcottawa1

When the genetic mutations caused by Duchenne muscular dystrophy inhibit the production of dystrophin in stem cells, those stem cells produce significantly fewer precursor cells — and thus fewer properly functioning muscle fibres.  Further, stem cells need dystrophin to sense their environment to figure out if they need to divide to produce more stem cells or perform muscle repair work.

Genetic repair might treat Duchenne muscular dystrophy

July 25, 2011|By Thomas H. Maugh II, Los Angeles Times
 

A genetic technique that allows the body to work around a crucial mutation that causes Duchenne muscular dystrophy increased the mass and function of muscles in a small group of patients with the devastating disease, paving the way for larger clinical trials of the drug. The study in a handful of boys age 5 to 15 showed that patients receiving the highest level of the drug, called AVI-4658 or eteplirsen, had a significant increase in production of a missing protein and increases in muscle fibers. The study demonstrated that the drug is safe in the short term. Results were reported Sunday in the journal Lancet.

Duchenne muscular dystrophy affects about one in every 3,500 males worldwide. It is caused by any one of several different mutations that affect production of a protein called dystrophin, which is important for the production and maintenance of muscle fibers. Affected patients become unable to walk and must use a wheelchair by age 8 to 12. Deterioration continues through their teens and 20s, and the condition typically proves fatal as muscle failure impairs their ability to breathe.

This study is designed to assess the efficacy, safety, tolerability, and pharmacokinetics (PK) of AVI-4658 (eteplirsen) in both 50.0 mg/kg and 30.0 mg/kg doses administered over 24 weeks in subjects diagnosed with Duchenne muscular dystrophy (DMD).

 

Condition Intervention Phase
Duchenne Muscular Dystrophy Drug: AVI-4658 (Eteplirsen)
Other: Placebo
Phase 2
Study Type:Interventional
Study Design:Allocation: Randomized
Endpoint Classification: Safety/Efficacy Study
Intervention Model: Parallel Assignment
Masking: Double Blind (Subject, Caregiver, Investigator, Outcomes Assessor)
Primary Purpose: Treatment
Official Title:A Randomized, Double-Blind, Placebo-Controlled, Multiple Dose Efficacy, Safety, Tolerability and Pharmacokinetics Study of AVI-4658(Eteplirsen),in the Treatment of Ambulant Subjects With Duchenne Muscular Dystrophy
 
 
Resource links provided by NLM:
 
 
Dystrophin expression in muscle stem cells regulates their polarity and asymmetric division

Nature Medicine(2015)   http://dx.doi.org:/10.1038/nm.3990

Dystrophin is expressed in differentiated myofibers, in which it is required for sarcolemmal integrity, and loss-of-function mutations in the gene that encodes it result in Duchenne muscular dystrophy (DMD), a disease characterized by progressive and severe skeletal muscle degeneration. Here we found that dystrophin is also highly expressed in activated muscle stem cells (also known as satellite cells), in which it associates with the serine-threonine kinase Mark2 (also known as Par1b), an important regulator of cell polarity. In the absence of dystrophin, expression of Mark2 protein is downregulated, resulting in the inability to localize the cell polarity regulator Pard3 to the opposite side of the cell. Consequently, the number of asymmetric divisions is strikingly reduced in dystrophin-deficient satellite cells, which also display a loss of polarity, abnormal division patterns (including centrosome amplification), impaired mitotic spindle orientation and prolonged cell divisions. Altogether, these intrinsic defects strongly reduce the generation of myogenic progenitors that are needed for proper muscle regeneration. Therefore, we conclude that dystrophin has an essential role in the regulation of satellite cell polarity and asymmetric division. Our findings indicate that muscle wasting in DMD not only is caused by myofiber fragility, but also is exacerbated by impaired regeneration owing to intrinsic satellite cell dysfunction.

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Adenosine Receptor Agonist Increases Plasma Homocysteine

Larry H. Bernstein, MD, FCAP, Curator

LPBI

 

The Adenosine Receptor Agonist 5’-N-Ethylcarboxamide-Adenosine Increases Mouse Serum Total Homocysteine Levels, Which Is a Risk Factor for Cardiovascular Diseases

Spring Zhou Editor at Scientific Research Publishing

I would like to share this paper with you. Any comments on this article are welcome.

 

An increase in total homocysteine (Hcy) levels (protein-bound and free Hcy in the serum) has been identified as a risk factor for vascular diseases. Hcy is a product of the methionine cycle and is a precursor of glutathione in the transsulfuration pathway. The methionine cycle mainly occurs in the liver, with Hcy being exported out of the liver and subsequently bound to serum proteins. When the non-specific adenosine receptor agonist 5’-N-ethylcarboxamide-adenosine (NECA; 0.1 or 0.3 mg/kg body weight) was intraperitoneally administered to mice that had been fasted for 16 h, total Hcy levels in the serum significantly increased 1 h after its administration. The NECA treatment may have inhibited transsulfuration because glutathione levels were significantly decreased in the liver. After the intraperitoneal administration of a high dose of NECA (0.3 mg/kg body weight), elevations in total Hcy levels in the serum continued for up to 10 h. The mRNA expression of methionine metabolic enzymes in the liver was significantly reduced 6 h after the administration of NECA. NECA-induced elevations in total serum Hcy levels may be maintained in the long term through the attenuated expression of methionine metabolic enzymes.

 

Comments:

  1.  Is level of protein consumption a factor?
  2. Is reliance on plant food products a factor?
  3. What are the levels of transthyretin?
  4. Is there a concomitant decrease in vitamin A or vitamin D?

 

 

The Adenosine Receptor Agonist 5’-N-Ethylcarboxamide-Adenosine Increases Mouse Serum Total Homocysteine Levels, Which Is a Risk Factor for Cardiovascular Diseases

Shigeko Fujimoto Sakata*, Koichi Matsuda, Yoko Horikawa, Yasuto Sasaki     Faculty of Nutrition, Kobe Gakuin University, Kobe, Japan.

http://www.scirp.org/journal/PaperInformation.aspx    DOI: 10.4236/pp.2015.610048

Cite this paper

Sakata, S. , Matsuda, K. , Horikawa, Y. and Sasaki, Y. (2015) The Adenosine Receptor Agonist 5’-N-Ethylcarboxamide-Adenosine Increases Mouse Serum Total Homocysteine Levels, Which Is a Risk Factor for Cardiovascular Diseases. Pharmacology & Pharmacy, 6, 461-470. doi: 10.4236/pp.2015.610048.
An increase in total serum homocysteine levels (total Hcy: serum protein-bound and free Hcy) has been identified as a risk factor for cardiovascular disease [1] [2] and liver fibrosis [3]. The normal range of total Hcy in adults is typically 5 – 15 μM, with the mean level being approximately 10 μM [2]. Plasma Hcy concentrations were previously found to be strongly associated with the presence and number of small infarctions, or infarction of the putamen in elderly diabetic patients [4]. High levels of Hcy have been shown to induce endoplasmic reticulum (ER) stress and increase the production of reactive oxygen species (ROS) [5]. Hcy has strong reducibility and modifies disulfide bonds in proteins. Only 1% to 2% of Hcy occurs as thiol homocysteine in the serum; 75% of Hcy has been suggested to bind to proteins through disulfide bonds with protein cysteines [6]. Hcy is formed as an intermediary in methionine metabolism [7] [8]. Methionine metabolism mainly occurs in the livers of mammals. Methionine receives an adenosine group from ATP to become S-adenosylmethionine (AdoMet) in the methionine cycle. This reaction is catalyzed in the liver by liver-specific methionine adenosyltransferase I/III (MAT I/III), which is encoded by the methionine adenosyltransferase 1A (MAT1A) gene [9]. AdoMet then transfers its methyl group to a large number of compounds, a process that is catalyzed by various methyltransferases (e.g., glycine N-methyltransferase: GNMT; DNA methyltransferase; phosphatidylethanolamine N-methyl- transferase), to produce S-adenosylhomocysteine (AdoHcy). Hcy is formed from AdoHcy by AdoHcy hydrolase (SAHH). The reaction that generates Hcy from AdoHcy is reversible, and AdoHcy from Hcy is shown to be thermodynamically favored over the synthesis of Hcy [10]. A previous study reported that Hcy levels were very low in the liver [11]. This reaction then proceeds toward the synthesis of Hcy when the products (Hcy and adenosine) are removed by further metabolism [12]. Three enzymes metabolize Hcy, with the betaine-homocysteine S-methyltransferase (BHMT) and methionine synthase (MS) reactions both yielding methionine. A large proportion of Hcy in the liver is remethylated by BHMT [3]. The third enzyme, cystathionine β-synthase (CBS) catalyzes Hcy to cystathionine in the transsulfuration pathway. Previous studies of whole body methionine kinetics demonstrated that 62% of Hcy was converted to cystathionine during each cycle in males fed a basal diet, resulting in the production of glutathione (GSH), while 38% of Hcy was remethylated to methionine [13]. Hcy is located at an important regulatory branch point: remethylation to methionine; conversion to cystathionine; export from the cells.
A decrease in intracellular ATP levels, accompanied by the accumulation of 5’-AMP and subsequently adenosine, is known to follow ischemia. Adenosine levels in interstitial fluids were shown to increase 100 – 1000- fold from basal levels (10 – 300 nM) with ischemia [14]. Furthermore, adenosine levels in hepatocytes were increased by a hypoxic challenge, with excess amounts of adenosine being exported out of cells [14]. Adenosine levels were also found to increase 10-fold due to hypoxia, stress, and inflammation [15]. Adenosine has been shown to activate A1, A2a, and A3 receptors with EC50 values in the range of 0.2 – 0.7 μM, and also A2b receptors with an EC50 of 24 μM [16]. A1 and A3 receptors have been classified as adenylate cyclase inhibitory receptors, and A2a and A2b receptors as adenylate cyclase-activating receptors [17]. The activation of adenosine receptors accompanied by ischemia may increase total Hcy levels in the serum because hepatic ischemia is known to decrease the content of GSH and activity of MAT [18].
We previously reported that the non-specific adenosine receptor agonist 5’-N-ethylcarboxamide-adenosine (NECA) increased serum glucose levels and the expression of a glucogenic enzyme (glucose 6-phosphatase) in the liver [19] [20]. Based on the dose of NECA administered in these studies and plasma concentrations after the administration of other adenosine agonists [21], it was inferred that the serum NECA concentration was in the μM range and also that NECA activated adenosine A2b receptors. In the present study, we measured methionine metabolites, including Hcy, in NECA-treated mice in order to determine whether the activation of adenosine receptors increased total Hcy levels in the serum. The results obtained clearly demonstrated that NECA increased total Hcy levels in the serum.
Measurement of Methionine Metabolites AdoMet and AdoHcy levels in the liver were measured using an HPLC method [25] and total GSH in the liver was measured using a microtiter plate assay [26], as described previously [23]. Total Hcy and total cysteine levels (total Cys: free and protein-bound cysteine) in the serum were measured using an HPLC method [27]. Briefly, a mixture of 50 μL of serum, 25 μL of an internal standard, and 25 μL of phosphate-buffered saline (PBS, pH 7.4) was incubated with 10 μL of 100 mg/mL TCEP for 30 min at room temperature in order to reduce and release protein-bound thiols. After this incubation, 90 μL of 100 mg/mL trichloroacetic acid containing 1 mmol/L EDTA was added for deproteinization, centrifuged at 15,000 ×g for 10 min, and 50 μL of the supernatant was added to a tube containing 10 μL of 1.55 mol/L NaOH; 125 μL of 0.125 mol/L borate buffer containing 4 mmol/L EDTA, pH 9.5; and 50 μL of 1 mg/mL SBD-F in the borate buffer. The sample was then incubated for 60 min at 60˚C. HPLC was performed on a Waters M-600 pump equipped with a Waters 2475 Multi λ Fluorescence Detector (385 nm excitation, 515 nm emission). The separation of SBD-derivatized thiols was performed on a μ-BONDASPHERE C18 column (Waters, 5 μm, 100 A, 150 × 3.9 mm) with a 20-μL injection volume and 0.1 mol/L acetate buffer, pH 5.5, containing 30 ml/L methanol as the mobile phase at a flow rate of 1.0 mL/min and column temperature of 29˚C.
3.1. Effects of NECA on Total Hcy and Total Cys Levels in the Serum As shown in Table 1, serum total Hcy and total Cys levels significantly increased after 16 h of fasting. The administration of a low dose of NECA (NECA0.1 group) to mice fasted for 16 h resulted in higher serum total Hcy levels than those in the control group at 1 h (Experiment 1). Serum total Hcy levels were also significantly elevated at 3 h (Experiment 2), but were not significantly different from those in the control group at 6 h (Experiment 3). The administration of a high dose of NECA (NECA0.3 group) resulted in significantly higher serum total Hcy levels than those in the control group at 1 h, 3 h, 6 h, and 10 h (Experiments 4, 5, 6, and 7), gradually increasing Hcy levels to 19.7 μM. The effects of NECA on serum total Cys levels were the same as those on total Hcy levels.
Table 1. Effects of NECA on the content of total homocysteine and total cysteine in the serum.

3.2. Effects of NECA on Other Methionine Metabolite Levels in the Liver We previously reported that fasting for 16 h decreased AdoMet and GSH levels, and increased AdoHcy levels in the livers of mice [23]. In the present study, as shown in Table 2, the administration of a low dose of NECA (NECA0.1 group) to mice fasted for 16 h resulted in lower liver GSH levels than those in the control group at 1 h (Experiment 1). Liver GSH levels were also significantly lower at 3 h (Experiment 2), while GSH levels were not significantly different from those in the control group at 6 h (Experiment 3). The administration of a high dose of NECA (NECA0.3 group) resulted in liver GSH levels that were significantly lower than those in the control group at 1 h, 6 h, and 10 h (Experiments 4, 6, and 7). The effects of NECA on total Hcy levels in the serum and GSH levels in the liver were similar at each dose and time. Furthermore, the low and high doses of NECA both led to significantly higher AdoMet levels than those in the control group at 1 h (Experiments 1 and 4). AdoMet levels at 3 h, 6 h, and 10 h were not significantly different from those in the control group (Experiments 2, 3, 5, 6, and 7). AdoHcy levels were significantly lower in the NECA0.3 group than in the control group 6 h and 10 h after the administration of NECA (Experiments 6 and 7), while the administration of a low dose of NECA had less of an impact on AdoHcy levels.

Table 2. Effects of NECA on the content of methionine metabolites in the liver.

3.3. Effects of NECA on mRNA Expression of Methionine Cycle Enzymes in the Liver Figure 1 shows changes in the mRNA expression of methionine cycle enzymes in Experiments 4, 5, and 6. The expression of methionine cycle enzymes did not significantly change 1 h after the administration of NECA. The expression of MAT1A mRNA was significantly decreased in the liver 6 h after the NECA treatment, while that of MAT2A was increased. The changes observed in the expression of MAT in the present study were consistent with previous findings obtained in ischemic livers [18] or with liver regeneration [28]. The expression of GNMT, which eliminates excess AdoMet, was significantly decreased 6 h after the NECA treatment. The expression of CBS, which converts Hcy to cystathionine through the transsulfuration pathway, and BHMT, which converts Hcy to methionine, was also decreased at 6 h.

Figure 1 shows changes in the mRNA expression of methionine cycle enzymes in Experiments 4, 5, and 6. The expression of methionine cycle enzymes did not significantly change 1 h after the administration of NECA. The expression of MAT1A mRNA was significantly decreased in the liver 6 h after the NECA treatment, while that of MAT2A was increased. The changes observed in the expression of MAT in the present study were consistent with previous findings obtained in ischemic livers [18] or with liver regeneration [28]. The expression of GNMT, which eliminates excess AdoMet, was significantly decreased 6 h after the NECA treatment. The expression of CBS, which converts Hcy to cystathionine through the transsulfuration pathway, and BHMT, which converts Hcy to methionine, was also decreased at 6 h.
Figure 1. Effects of NECA on the mRNA expression of methionine cycle enzymes in the mouse liver. Northern hybridization was performed on the liver RNA of mice in experiments 4, 5, and 6. The mean ± SEM of the ratio of each enzyme mRNA to the level of the 18S rRNA signal is shown as an arbitrary unit. Unpaired Student’s t-tests were used to compare NECA- treated groups with the control groups. *p < 0.05, **p < 0.01: significantly different from each control.
4. Discussion In the present study, an increase in total Hcy levels and AdoMet levels, and decrease in GSH levels occurred 1 h after the NECA treatment. These results were not due to changes in the expression of methionine metabolic enzymes, which remained unchanged 1 h after the NECA treatment (Figure 1). The effects of NECA on methionine metabolism are summarized in Figure 2. No previous study has demonstrated that adenosine has the ability to directly affect CBS; however, the overproduction of carbon monoxide (CO), which is generated by heme oxygenase (HO), is found to inhibit transsulfuration [11]. CO has been shown to inhibit CBS activity and increase AdoMet concentrations [11]. Adenosine and NECA were previously reported to markedly induce HO in macrophages [29]. Hcy, which is a substrate of CBS, may be increased by NECA via the CO-induced inhibition of CBS, and GSH may be decreased by the CO-induced inhibition of transsulfuration. However, the mechanism by which NECA affects transsulfuration in the short term has not yet been elucidated.
Figure 2. Effects of NECA on the methionine metabolic pathway. MAT: methionine adenosyltransferase, GNMT: glycine N-methyltransferase, CBS: cystathionine β-synthase, BHMT: betaine-homocysteine S-methyltransferase, MS: methionine synthase (Map is based on Sakata SF 2005).
GSH was maintained at a low level for up to 10 h by the NECA0.3 treatment and transsulfuration may have been continuously inhibited by the NECA0.3 treatment. Total Hcy levels were also continuously increased for up to 10 h by the NECA0.3 treatment, and decreased AdoHcy levels were observed 6 h and 10 h after the NECA0.3 treatment. Long-term elevations in serum total Hcy levels by NECA may be maintained by attenuating the expression of methionine metabolic enzymes via the following mechanisms: The expression of methionine metabolic enzymes in the liver was reduced 6 h after the NECA0.3 treatment (Figure 1); the flow of the methionine cycle may have been decreased by changes in the expression of MAT (decreased liver-specific MAT1A expression and increased non-liver type MAT2A expression) because MATIII (Km for methionine: 215 μM – 7 mM) is the true liver-specific isoform responsible for methionine metabolism [30] and the generation rate of AdoMet by MATII (non-liver type enzyme) was modest with a low Km (80 μM for methionine) [31]; inhibition of the methyltransferases, BHMT [32] and GNMT [33], induces hyperhomocysteinemia; decreases in AdoHcy levels may be caused by reductions in methyltransferase levels. However, the mechanisms by which NECA continuously increased total Hcy levels have not yet been elucidated in detail. 5. Conclusion The present study confirmed that the non-specific adenosine receptor agonist NECA continuously increased total Hcy levels in the serum. The inhibition of adenosine receptors may decrease the risk of cardiovascular diseases because an increase in serum total Hcy levels is a known risk factor.

References

[1] Antoniades, C., Antonopoulos, A.S., Tousoulis, D., Marinou, K. and Stefanadis, C. (2009) Homocysteine and Coronary Atherosclerosis: from Folate Fortification to the Recent Clinical Trials. European Heart Journal, 30, 6-15.
http://dx.doi.org/10.1093/eurheartj/ehn515
[2] Refsum, H., Ueland, P.M., Nygard, O. and Vollset, S.E. (1998) Homocysteine and Cardiovascular Disease. Annual Review of Medicine, 49, 31-62.
http://dx.doi.org/10.1146/annurev.med.49.1.31
[3] Garcia-Tevijano, E.R., Berasain, C., Rodriguez, J.A., Corrales, F.J., Arias, R., Martin-Duce, A., Caballeria, J., Mato, J.M. and Avila, M.A. (2001) Hyperhomocysteinemia in Liver Cirrhosis: Mechanisms and Role in Vascular and Hepatic Fibrosis. Hypertension, 38, 1217-1221.
http://dx.doi.org/10.1161/hy1101.099499
[4] Araki, A., Ito, H., Majima, Y., Hosoi, T. and Orimo, H. (2003) Association between Plasma Homocysteine Concentrations and Asymptomatic Cerebral Infarction or Leukoaraiosis in Elderly Diabetic Patients. Geriatrics & Gerontology International, 3, 15-23.
http://dx.doi.org/10.1046/j.1444-1586.2003.00051.x
[5] Elanchezhian, R., Palsamy, P., Madson, C.J., Lynch, D.W. and Shinohara, T. (2012) Age-Related Cataracts: Homocysteine Coupled Endoplasmic Reticulum Stress and Suppression of Nrf2-Dependent Antioxidant Protection. Chemico-Biological Interactions, 200, 1-10.
http://dx.doi.org/10.1016/j.cbi.2012.08.017
[6] Mudd, S.H., Finkelstein, J.D., Refsum, H., Ueland, P.M., Malinow, M.R., Lentz, S.R., Jacobsen, D.W., Brattstrom, L., Wilcken, B., Wilcken, D.E., Blom, H.J., Stabler, S.P., Allen, R.H., Selhub, J. and Rosenberg, I.H. (2000) Homocysteine and Its Disulfide Derivatives: A Suggested Consensus Terminology. Arteriosclerosis Thrombosis and Vascular Biology, 20, 1704-1706.
http://dx.doi.org/10.1161/01.ATV.20.7.1704
[7] Finkelstein, J.D. (1990) Methionine Metabolism in Mammals. The Journal of Nutritional Biochemistry, 1, 228-237.
http://dx.doi.org/10.1016/0955-2863(90)90070-2
[8] Stipanuk, M.H. (2004) Sulfur Amino Acid Metabolism: Pathways for Production and Removal of Homocysteine and Cysteine. Annual Review of Nutrition, 24, 539-577.
http://dx.doi.org/10.1146/annurev.nutr.24.012003.132418
[9] Chou, J.Y. (2000) Molecular Genetics of Hepatic Methionine Adenosyltransferase Deficiency. Pharmacology & Therapeutics, 85, 1-9.
http://dx.doi.org/10.1016/s0163-7258(99)00047-9
[10] De La Haba, G. and Cantoni, G.L. (1959) The Enzymatic Synthesis of S-Adenosyl-L-Homocysteine from Adenosine and Homocysteine. The Journal of Biological Chemistry, 234, 603-608.
http://www.jbc.org/content/234/3/603.short

…. more

 

 

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targeting of GSK-3α and GSK-3β

Larry H. Bernstein, MD, FCAP, Curator

LPBI

 

 

4′-((5-(2,3-Dihydrobenzo[b][1,4]dioxin-6-yl)-1,3,4-oxadiazol-2-yl-thio)-methyl)-4-fluorobiphenyl-2-carboxamide

by DR ANTHONY MELVIN CRASTO Ph.D

str1

 

Cas 1820758-44-8

C24 H18 F N3 O4 S

4′-((5-(2,3-Dihydrobenzo[b][1,4]dioxin-6-yl)-1,3,4-oxadiazol-2-yl-thio)-methyl)-4-fluorobiphenyl-2-carboxamide

https://pharmaceuticalintelligence.com/wp-admin/post-new.php

 

Glycogen synthase kinase-3 (GSK-3) is a constitutively active, ubiquitous serine/threonine kinase that takes part in a number of physiological processes ranging from glycogen metabolism to apoptosis. GSK-3 is a key mediator of various signaling pathways, such as the Wnt and the insulin/AKT signaling pathways.

Therefore, dysregulation of GSK-3 has been linked to various human diseases, such as cancer, diabetes, and neurodegenerative diseases.Two related isoforms of GSK-3 exist in mammals, GSK-3α and -β, which share a sequence identity within their catalytic domains of 98%.

Beyond the catalytic domains they show significant differences. Although these isoforms are structurally related, they are not functionally equivalent, and one cannot compensate for loss of the other.

The debate on the respective contributions of the isoforms GSK-3α and GSK-3β on the pathogenesis of different diseases is ongoing.

Various studies indicate that the therapies of certain diseases benefit from specific targeting of GSK-3α and GSK-3β. GSK-3α was recently identified as a differentiation target in acute myeloid leukemia (AML). AML is a hematopoietic malignancy defined by uncontrolled proliferation and disrupted myeloid differentiation. AML is the second most common form of leukemia in adults.

The current treatment of AML with conventional chemotherapy is very aggressive yet ineffective for the majority of patients with the disease.Thus, alternative targeted treatment approaches for AML are highly desirable. GSK-3α recently emerged as a potential target in this disease.

Abstract Image

http://pubs.acs.org/appl/literatum/publisher/achs/journals/content/jmcmar/0/jmcmar.ahead-of-print/acs.jmedchem.5b01200/20151105/images/medium/jm-2015-01200x_0015.gif

 

The challenge for glycogen synthase kinase-3 (GSK-3) inhibitor design lies in achieving high selectivity for one isoform over the other. The therapy of certain diseases, such as acute myeloid leukemia (AML), may require α-isoform specific targeting. The scorpion shaped GSK-3 inhibitors developed by our group achieved the highest GSK-3α selectivity reported so far but suffered from insufficient aqueous solubility. This work presents the solubility-driven optimization of our isoform-selective inhibitors using a scorpion shaped lead. Among 15 novel compounds, compound 27 showed high activity against GSK-3α/β with the highest GSK-3α selectivity reported to date. Compound 27was profiled for bioavailability and toxicity in a zebrafish embryo phenotype assay. Selective GSK-3α targeting in AML cell lines was achieved with compound 27, resulting in a strong differentiation phenotype and colony formation impairment, confirming the potential of GSK-3α inhibition in AML therapy.

Evaluation of Improved Glycogen Synthase Kinase-3α Inhibitors in Models of Acute Myeloid Leukemia

† Clemens Schöpf Institute of Organic Chemistry and Biochemistry, Technische Universität Darmstadt, 64287 Darmstadt, Germany
‡ Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts 02215, United States
J. Med. Chem., Article ASAP
Publication Date (Web): October 23, 2015   Copyright © 2015 American Chemical Society

http://pubs.acs.org/doi/abs/10.1021/acs.jmedchem.5b01200

http://pubs.acs.org/doi/suppl/10.1021/acs.jmedchem.5b01200/suppl_file/jm5b01200_si_001.pdf

compound 27 as a colorless solid. HPLC: 96%, tR = 6.93 min.

1H NMR (DMSO-d6, 500 MHz, 300 K): δ (ppm) = 4.32 (td, J = 5.2 Hz, J = 3.7 Hz, 4H), 4.60 (s, 2H), 7.05 (d, J = 8.4 Hz, 1H), 7.25 (dd, J = 9.1 Hz, J = 2.7 Hz, 1H), 7.31 (td, J = 8.6 Hz, J = 2.8 Hz, 1H), 7.38 (m, 3H), 7.41 (d, J = 2.0 Hz, 1H), 7.45 (dd, J = 8.4 Hz, J = 2.1 Hz, 1H), 7.49 (d, J = 8.2 Hz, 2H), 7.73 (s, 1H).

13C NMR (DMSO, 125 MHz, 300 K): δ (ppm) = 35.6, 64.1, 64.4, 114.3 (d, JC–F = 21 Hz), 115.0, 115.9 (d, JC–F = 21 Hz), 115.9, 118.1, 120.0, 128.6 (2C), 128.8 (2C), 132.0 (d, JC–F = 8 Hz), 134.8, 135.5, 138.9, 139.0 (d, JC–F = 7 Hz), 143.8, 146.7, 160.9 (d, JC–F = 247 Hz), 162.7, 164.9, 169.5.

EI-MS: m/z = 463 (100, [M+]), 464 (26, [M+ + H]), 465 (7, [M+ + 2H].

 

 

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Biomarker Development

Biomarker Development, Volume 2 (Volume Two: Latest in Genomics Methodologies for Therapeutics: Gene Editing, NGS and BioInformatics, Simulations and the Genome Ontology), Part 1: Next Generation Sequencing (NGS)

Biomarker Development

Curator: Larry H. Bernstein, MD, FCAP

 

 

NBDA’s Biomarker R&D Modules

http://nbdabiomarkers.org/

“collaboratively creating the NBDA Standards* required for end-to-end, evidence – based biomarker development to advance precision (personalized) medicine”

http://nbdabiomarkers.org/sites/all/themes/nbda/images/nbda_logo.jpg

http://nbdabiomarkers.org/about/what-we-do/pipeline-overview/assay-development

 

Successful biomarkers should move systematically and seamlessly through specific R&D “modules” – from early discovery to clinical validation. NBDA’s end-to-end systems approach is based on working with experts from all affected multi-sector stakeholder communities to build an in-depth understanding of the existing barriers in each of these “modules” to support decision making at each juncture.  Following extensive “due diligence” the NBDA works with all stakeholders to assemble and/or create the enabling standards (guidelines, best practices, SOPs) needed to support clinically relevant and robust biomarker development.

Mission: Collaboratively creating the NBDA Standards* required for end-to-end, evidence – based biomarker development to advance precision (personalized) medicine.
NBDA Standards include but are not limited to: “official existing standards”, guidelines, principles, standard operating procedures (SOP), and best practices.

https://vimeo.com/83266065

 

“The NBDA’s vision is not to just relegate the current biomarker development processes to history, but also to serve as a working example of what convergence of purpose, scientific knowledge and collaboration can accomplish.”

NBDA Workshop VII – “COLLABORATIVELY BUILDING A FOUNDATION FOR FDA BIOMARKER QUALIFICATION”
NBDA Workshop VII   December 14-15, 2015   Washington Court Hotel, Washington, DC

The upcoming meeting was preceded by an NBDA workshop held on December 1-2, 2014, “The Promising but Elusive Surrogate Endpoint:  What Will It Take?” where we explored in-depth with FDA leadership and experts in the field the current status and future vison for achieving success in surrogate endpoint development.  Through panels and workgroups, the attendees extended their efforts to pursue the FDA’s biomarker qualification pathway through the creation of sequential contexts of use models to support qualification of drug development tools – and ultimately surrogate endpoints.

Although the biomarker (drug development tools) qualification pathway (http://www.fda.gov/Drugs/DevelopmentApprovalProcess/DrugDevelopmentTools…) represents an opportunity to increase the value of predictive biomarkers, animal models, and clinical outcomes across the drug (and biologics) development continuum, there are myriad challenges.  In that regard, the lack of evidentiary standards to support contexts of use-specific biomarkers emerged from the prior NBDA workshop as the major barrier to achieving the promise of biomarker qualification.  It also became clear that overall, the communities do not understand the biomarker qualification process; nor do they fully appreciate that it is up to the stakeholders in the field (academia, non-profit foundations, pharmaceutical and biotechnology companies, and patient advocate organizations) to develop these evidentiary standards.

This NBDA workshop will feature a unique approach to address these problems.  Over the past two years, the NBDA has worked with experts in selected disease areas to develop specific case studies that feature a systematic approach to identifying the evidentiary standards needed for sequential contexts of use for specific biomarkers to drive biomarker qualification.   These constructs, and accompanying whitepapers are now the focus of collaborative discussions with FDA experts.

The upcoming meeting will feature in-depth panel discussions of 3-4 of these cases, including the case leader, additional technical contributors, and a number of FDA experts.  Each of the panels will analyze their respective case for strengths and weaknesses – including suggestions for making the biomarker qualification path for the specific biomarker more transparent and efficient. In addition, the discussions will highlight the problem of poor reproducibility of biomarker discovery results, and its impact on the qualification process.

 

Health Care in the Digital Age

Mobile, big data, the Internet of Things and social media are leading a revolution that is transforming opportunities in health care and research. Extraordinary advancements in mobile technology and connectivity have provided the foundation needed to dramatically change the way health care is practiced today and research is done tomorrow. While we are still in the early innings of using mobile technology in the delivery of health care, evidence supporting its potential to impact the delivery of better health care, lower costs and improve patient outcomes is apparent. Mobile technology for health care, or mHealth, can empower doctors to more effectively engage their patients and provide secure information on demand, anytime and anywhere. Patients demand safety, speed and security from their providers. What are the technologies that are allowing this transformation to take place?

 

https://youtu.be/WeXEa2cL3oA    Monday, April 27, 2015  Milken Institute

Moderator


Michael Milken, Chairman, Milken Institute

 

Speakers


Anna Barker, Fellow, FasterCures, a Center of the Milken Institute; Professor and Director, Transformative Healthcare Networks, and Co-Director, Complex Adaptive Systems Network, Arizona State University
Atul Butte, Director, Institute of Computational Health Sciences, University of California, San Francisco
John Chen, Executive Chairman and CEO, BlackBerry
Victor Dzau, President, Institute of Medicine, National Academy of Sciences; Chancellor Emeritus, Duke University
Patrick Soon-Shiong, Chairman and CEO, NantWorks, LLC

 

Mobile, big data, the Internet of Things and social media are leading a revolution that is transforming opportunities in health care and research. Extraordinary advancements in mobile technology and connectivity have provided the foundation needed to dramatically change the way health care is practiced today and research is done tomorrow. While we are still in the early innings of using mobile technology in the delivery of health care, evidence supporting its potential to impact the delivery of better health care, lower costs and improve patient outcomes is apparent. Mobile technology for health care, or mHealth, can empower doctors to more effectively engage their patients and provide secure information on demand, anytime and anywhere. Patients demand safety, speed and security from their providers. What are the technologies that are allowing this transformation to take place?

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FDA Guidance Documents Update

Reporter: Stephen J. Williams, Ph.D.

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