PuSH - Publikationsserver des Helmholtz Zentrums München: Effects of metformin on metabolite profiles and LDL cholesterol in patients with type 2 diabetes.

Informationen

Hinweise zu Qualitätskriterien von Zeitschriften

Open-Access-Richtlinie der Helmholtz-Gemeinschaft 2016

CC Licencences

Metriken für Publikationen

Navigation

Startseite

English

Recherche

Erweiterte Suche

Durchblättern nach ...

... HMGU-Autoren/Konsortien

... Organisationsstruktur

... Zeitschriften

... Publikationstypen

... Forschungsdaten

... Arbeitsgruppen

... Erscheinungsjahr

Publikationen im Überblick

Statistik

HGF Fortschrittsbericht

OA Publikationen

Eintragen

Neue Publikation eintragen

Neue Publikation holen aus...

...EVA

Fehlende Publikation melden

Highlights

Suche

Hilfe & Kontakt

Ansprechpartner

Hilfe

Datenschutz

Helmholtz Open Science

Bibliometrische Indikatoren

SHERPA/RoMEO

DOAJ

Export:

Text

Endnote (RIS) BIB

BibTeX

Xu, T. ; Brandmaier, S. ; Messias, A.C. ; Herder, C.* ; Draisma, H.H.* ; Demirkan, A.* ; Yu, Z. ; Ried, J.S. ; Haller, T.* ; Heier, M. ; Campillos, M. ; Fobo, G. ; Stark, R.G. ; Holzapfel, C.* ; Adam, J. ; Chi, S. ; Rotter, M. ; Panni, T. ; Quante, A.S. ; He, Y.* ; Prehn, C. ; Römisch-Margl, W. ; Kastenmüller, G. ; Willemsen, G.* ; Pool, R.* ; Kasa, K.* ; van Dijk, K.W.* ; Hankemeier, T.* ; Meisinger, C. ; Thorand, B. ; Ruepp, A. ; Hrabě de Angelis, M. ; Li, Y.* ; Wichmann, H.-E. ; Stratmann, B.* ; Strauch, K. ; Metspalu, A.* ; Gieger, C. ; Suhre, K. ; Adamski, J. ; Illig, T. ; Rathmann, W.* ; Roden, M.* ; Peters, A. ; van Duijn, C.M.* ; Boomsma, D.I.* ; Meitinger, T. ; Wang-Sattler, R.

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

Diabetes Care 38, 1858-1867 (2015)

Verlagsversion

DOI

PMC

	Closed

Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.

Abstract
Metriken
Zusatzinfos

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 131 metabolites in fasting serum samples and used multivariable 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 metformin-associated 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 groups who were not using glucose-lowering oral medication. These findings were controlled for conventional risk factors of T2D and replicated in two independent studies. Furthermore, we observed that the levels of these metabolites 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.

Impact Factor

Scopus SNIP

Web of Science
Times Cited

Scopus
Cited By

Altmetric

8.420

3.298