Medical Journals

Pharmacogenetics of Metformin Response: a Step in the Path Toward Personalized Medicine.

Authors:
  • Reitman Marc L
  • Schadt Eric E

From: Metabolic Disorders Department, Merck Research Laboratories, 126 East Lincoln Avenue, Rahway, NJ 07065, USA. marc_reitman@merck.com

The Journal of clinical investigation

  • Publish Date: May 2007
  • ISSN: 0021-9738
  • Volume: 117
  • Issue: 5
  • Pages: 1226-9
  • Medium: Print
  • Language: English
  • Citation (JAMA): Reitman Marc L, Schadt Eric E, et al. Pharmacogenetics of Metformin Response: a Step in the Path Toward Personalized Medicine.. J. Clin. Invest. May 2007;117:1226-9

Abstract

Type 2 diabetes mellitus affects 9.6% of the adults in the United States and more than 200 million people worldwide. Diabetes can be a devastating disease, but it can now be treated with nine classes of approved drugs (insulins, sulfonylureas, glinides, biguanides, alpha-glucosidase inhibitors, thiazolidinediones, glucagon-like peptide 1 mimetics, amylin mimetics, and dipeptidyl peptidase 4 inhibitors), in addition to diet and exercise regimens. Choosing which drug to give a patient is based on efficacy and also availability, cost, safety, tolerability, and convenience. Personalized medicine promises a path for individually optimized treatment choices, but realizing this promise will require a more comprehensive characterization of disease and drug response. In this issue of the JCI, Shu et al. make significant progress by integrating diverse data supporting the hypothesis that genetic variation in organic cation transporter 1 (OCT1) affects the response to the widely used biguanide metformin (see the related article beginning on page 1422). We discuss metformin, OCT1, pharmacogenetics, and how the integrative genomics revolution is likely to change our understanding and treatment of diabetes.

Mesh Headings (Keywords): Animals, Diabetes Mellitus, Type 2, Humans, Hypoglycemic Agents, Metformin, Pharmacogenetics, Variation (Genetics)


Check for Full Text / PubMed Unique Identifier (PMID): 17476355


This abstract is part of PubMed, a service of the U.S. National Library of Medicine. PubMed includes more than 17 million citations from MEDLINE and other life science journals for biomedical articles. See Copyright and Disclaimers.

Linked medical terms appearing on this page are added by Healia to help readers find more information and are not part of the original PubMed document.

The data herein was last updated on July 8th, 2008 and may not reflect the most current and accurate data available from NLM.


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