Metabolomics Standards Group Issues Recommendations



Loading...

A multinational working group set up to recommend solutions to the daunting problem of integrating the profusion and diversity of metabolomics data has issued a report on its findings.

The Standard Metabolic Reporting Structures working group (SMRS) reported its summary recommendations in the July issue of the journal Nature Biotechnology.

The field of metabolomics blends statistical analysis with state-of-the-art chemical technologies such as nuclear magnetic resonance, mass spectrometry, and chromatography. Applications range from pre-clinical drug safety testing to disease diagnosis to environmental monitoring. But such a diversity of technologies, particularly compared to other “-omics” fields, complicates and intensifies the need for standardization.

The SMRS working group was set up in 2003 with the goal of creating open standards for conducting and reporting metabolomic studies. Contributors include the FDA, the European Bioinformatics Institute, senior academics, and a distinguished group of industry representatives from companies such as GlaxoSmithKline, Pfizer, Unilever, and AstraZeneca.

The Nature Biotechnology article – a synopsis of the SMRS group’s 37-page report – focuses on three main areas: the origins of biological samples, the methodologies used to obtain data, and the analytical techniques to which the data are subjected.

The report offers detailed policy directions in each of these areas. Highlights include guidance on recording the treatment of living biological samples, the naming of compounds in submissions to journals and databases, and how to reduce the problem of over-fitted statistical models and their resultant weaker predictive power.

Lead author John Lindon, from Imperial College London, views the work of the SMRS as “essentially done.” He adds: “The next stage is to take these and build technical and software and database solutions.” The report invites discussion of the recommendations (available at: http://www.smrsgroup.org/documents/SMRS_policy_draft_v2.3.pdf).

The SMRS effort to standardize reporting of metabolomics studies should be viewed as part of a broader, ongoing endeavor in systems biology. Metabolomics will be crucial in illuminating the thousands of pathways in any biological system. Tellingly, SMRS acknowledges the progress made in proteomics, microarray data, and pharmacogenomics. It is “in contact” with similar standardization groups, and expresses a desire to “harmonize with the analogous MIAME initiative in genomics.” This would institute a standard for data content, rather than data format. An FDA-sponsored standard data format has been established, however, with tools under development at California-based PharmQuest.

As a project that seeks to bring into line studies in both public and private domains, SMRS acknowledges that the prickly problem of satisfying both the movement toward openness and commercial sensitivity concerns could become a sticking point. Lindon concedes, “We did not really address IP issues other than to note them and recognize that this might be a problem.”

The question of data ownership in submissions to journals and regulatory bodies is another “major concern” for the group. It seems likely that a pragmatic approach will be adopted, with companies able to preserve confidential information as they see fit, in line with precedents in the field of protein structures, for example. Partial data submissions on a “need to know” basis would furnish the review process.

Further steps in the standardization of metabolomics data will be made at a workshop hosted by the NIH on August 1-2, 2005, in Bethesda, Maryland.

The SMRS report is available here.

Click here to login and leave a comment.  

0 Comments

Add Comment

Text Only 2000 character limit

Page 1 of 1

White Papers & Special Reports

oracle_clinical
eClinical Visions - Clinical Trial Management: Enabling Operational Efficiency
Sponsored by Oracle

Read how contributors from Genzyme, Duke Clinical Research Institute, Accenture, Oracle Health Sciences and others address some of the most pertinent challenges facing the biopharmaceutical industry including... Globalization of clinical trials driven by the need to reduce costs and recruit participants; greater outsourcing; escalating regulatory demands; increased trial complexity; and post-marketing studies. Download this paper to gain new insight into:

  • Recent progress made in addressing these challenges
  • Expert opinion on clinical trial management systems (CTMS) for improving trial efficiencies
  • How to cut trial costs and enhance the productivity of trial participants


oracle_RDC
Remote Data Capture – Acquisition and Analysis
Sponsored by Oracle

Today nearly half of all clinical trials are conducted electronically, and rising! Electronic Data Capture (EDC) technology provides industry-wide opportunities, along with challenges, that are being addressed. In this informative report industry experts and users from Pfizer, PPD, C3i and Oracle Health Sciences discuss the impact of EDC and its newest zero footprint; online iteration.  It can used anywhere, world-wide, where the Internet is available while placing greater onus on global trial support. The critical focus of this new technology is that it must support the work of the person at the heart of the clinical trial system– the investigator. Download this report to learn more about:

  • Trends and Issues in an Electronic Clinical Data Management World
  • The New Remote Data Capture Paradigm 
  • Improving and Monitoring Clinical Data Management in the eClinical Age
  • Optimizing and Supporting Remote Data Capture


oracle_video
Technology Video Report: A Day in the Life with Remote Data Capture (Next-Gen EDC)
Sponsored by Oracle
See why Oracle Remote Data Capture (RDC) Onsite is the next generation in electronic data capture with its user-friendly method to collect, clean, review, and verify clinical trial data. Providing unprecedented performance with real-time data capture, Oracle RDC Onsite simplifies source data verification. With a clear, consistent view of study data across all sites, the benefits include reduced monitoring time, decreased queries and discrepancies, and less time to database lock.



Life Science Webcasts & Podcasts

Predict or Perish! Shaping the Practices of Clinical Trials
Decisionview webinarSponsored by:  DecisionView

Predictive Analytics are a key differentiator in running your clinical trials successfully through 2010 and beyond. They will help you to optimize your patient enrollment, reduce your clinical operations costs and minimize your financial liability in the clinical supply chain. In this session, you will:
• Learn what predictive analytics are and what they are not
• Understand why you need predictive analytics to run your clinical trials, and
• Explore how predictive analytics will shape the future of clinical trials

Download Now. 

 



More Podcasts

Job Openings

The University of Washington Department of Genome Sciences is seeking a LINUX SYSTEMS ENGINEERING MANAGER to lead a team in a diverse scientific computing environment that includes multiple HPC systems, petascale storage, and custom application servers. Apply online at UW Hires for req number 61505.  http://www.washington.edu/admin/hr/jobs/

Loading...

For reprints and/or copyright permission, please contact The YGS Group, 3650 West Market Street, York, PA;

(717) 505-9701 ext. 125, or via email to Ashley.Zander@theYGSgroup.com.