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Effects of metformin on metabolite profiles and LDL cholesterol in patients with type 2 diabetes

  • Tao Xu
  • , Stefan Brandmaier
  • , Ana C. Messias
  • , Christian Herder
  • , Harmen H.M. Draisma
  • , Ayse Demirkan
  • , Zhonghao Yu
  • , Janina S. Ried
  • , Toomas Haller
  • , Margit Heier
  • , Monica Campillos
  • , Gisela Fobo
  • , Renee Stark
  • , Christina Holzapfel
  • , Jonathan Adam
  • , Shen Chi
  • , Markus Rotter
  • , Tommaso Panni
  • , Anne S. Quante
  • , Ying He
  • Cornelia Prehn, Werner Roemisch-Margl, Gabi Kastenmuller, Gonneke Willemsen, Reńe Pool, Katarina Kasa, Ko Willems Van Dijk, Thomas Hankemeier, Christa Meisinger, Barbara Thorand, Andreas Ruepp, Martin Hrabe De Angelis, Yixue Li, H. E. Wichmann, Bernd Stratmann, Konstantin Strauch, Andres Metspalu, Christian Gieger, Karsten Suhre, Jerzy Adamski, Thomas Illig, Wolfgang Rathmann, Michael Roden, Annette Peters, Cornelia M. Van Duijn, Dorret I. Boomsma, Thomas Meitinger, Rui Wang-Sattler
  • Helmholtz Zentrum München German Research Center for Environmental Health
  • Heinrich-Heine-University
  • Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf
  • VU University Amsterdam
  • University of Amsterdam
  • Erasmus University Medical Center
  • Leiden University Medical Centre
  • University of Tartu
  • Technical University of Munich
  • University of Munich
  • Shanghai Center for Bioinformation Technology
  • Chinese Academy of Sciences
  • LACDR, Leiden University
  • German Centre for Diabetes Research (DZD)
  • University Hospital of the Ruhr-University Bochum
  • Weill Cornell Medicine-Qatar
  • Hannover Medical School
  • Medical Faculty
  • Harvard T.H. Chan School of Public Health
  • Center for Medical Systems Biology

Research output: Contribution to journalArticlepeer-review

121 Scopus citations

Abstract

OBJECTIVE Metformin is used as a first-line oral treatment for type 2 diabetes (T2D). However, the underlying mechanism is not fully understood. Here, we aimed to comprehensively investigate the pleiotropic effects of metformin. RESEARCH DESIGN AND METHODS We analyzed both metabolomic and genomic data of the population-based KORA cohort. To evaluate the effect of metformin treatment on metabolite concentrations, we quantified 131metabolites in fasting serumsamples and usedmultivariable linear regression models in three independent cross-sectional studies (n = 151 patients with T2D treated with metformin [mt-T2D]). Additionally, we used linear mixed-effect models to study the longitudinal KORA samples (n = 912) and performed mediation analyses to investigate the effects of metformin intake on blood lipid profiles. We combined genotyping data with the identified metforminassociated metabolites in KORA individuals (n = 1,809) and explored the underlying pathways. RESULTS We found significantly lower (P < 5.0E-06) concentrations of three metabolites (acyl-alkyl phosphatidylcholines [PCs]) when comparing mt-T2D with four control groupswhowere not using glucose-lowering oralmedication. These findings were controlled for conventional risk factors of T2D and replicated in two independent studies. Furthermore, we observed that the levels of thesemetabolites decreased significantly in patients after they started metformin treatment during 7 years' follow-up. The reduction of these metabolites was also associated with a lowered blood level of LDL cholesterol (LDL-C). Variations of these three metabolites were significantly associated with 17 genes (including FADS1 and FADS2) and controlled by AMPK, a metformin target. CONCLUSIONS Our results indicate that metformin intake activates AMPK and consequently suppresses FADS, which leads to reduced levels of the three acyl-alkyl PCs and LDL-C. Our findings suggest potential beneficial effects of metformin in the prevention of cardiovascular disease.

Original languageEnglish
Pages (from-to)1858-1867
Number of pages10
JournalDiabetes Care
Volume38
Issue number10
DOIs
StatePublished - Oct 2015

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