Literature DB >> 29633349

Effect of metformin on plasma metabolite profile in the Copenhagen Insulin and Metformin Therapy (CIMT) trial.

N Safai1, T Suvitaival1, A Ali1, P Spégel2,3, M Al-Majdoub2, B Carstensen1, H Vestergaard1,4, M Ridderstråle1,2,5.   

Abstract

AIM: Metformin is the first-line treatment for Type 2 diabetes. However, not all people benefit from this drug. Our aim was to investigate the effects of metformin on the plasma metabolome and whether the pretreatment metabolite profile can predict HbA1c outcome.
METHODS: Post hoc analysis of the Copenhagen Insulin and Metformin Therapy (CIMT) trial, a multicentre study from May 2008 to December 2012, was carried out. We used a non-target method to analyse 87 plasma metabolites in participants with Type 2 diabetes (n = 370) who were randomized in a 1 : 1 ratio to 18 months of metformin or placebo treatment. Metabolites were measured by liquid chromatography-mass spectrometry at baseline and at 18-month follow-up and the data were analysed using a linear mixed-effect model.
RESULTS: At baseline, participants who were on metformin before the trial (n = 312) had higher levels of leucine/isoleucine and five lysophosphatidylethanolamines (LPEs), and lower levels of carnitine and valine compared with metformin-naïve participants (n = 58). At follow-up, participants randomized to metformin (n = 188) had elevated levels of leucine/isoleucine and reduced carnitine, tyrosine and valine compared with placebo (n = 182). At baseline, participants on metformin treatment with the highest levels of carnitine C10:1 and leucine/isoleucine had the lowest HbA1c (P-interaction = 0.02 and 0.03, respectively). This association was not significant with HbA1c at follow-up.
CONCLUSIONS: Metformin treatment is associated with decreased levels of valine, tyrosine and carnitine, and increased levels of leucine/isoleucine. None of the identified metabolites can predict the HbA1c -lowering effect of metformin. Further studies of the association between metformin, carnitine and leucine/isoleucine are warranted.
© 2018 Diabetes UK.

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Year:  2018        PMID: 29633349     DOI: 10.1111/dme.13636

Source DB:  PubMed          Journal:  Diabet Med        ISSN: 0742-3071            Impact factor:   4.359


  10 in total

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Journal:  Pharmaceutics       Date:  2022-06-15       Impact factor: 6.525

2.  Circulating metabolites and lipids are associated with glycaemic measures in South Asians.

Authors:  Meghana D Gadgil; Alka M Kanaya; Caroline Sands; Matthew R Lewis; Namratha R Kandula; David M Herrington
Journal:  Diabet Med       Date:  2020-12-25       Impact factor: 4.359

3.  Metabolomics profiles associated with HbA1c levels in patients with type 2 diabetes.

Authors:  Jun Ho Yun; Heun-Sik Lee; Ho-Yeong Yu; Yeon-Jung Kim; Hyun Jeong Jeon; Taekeun Oh; Bong-Jo Kim; Hyung Jin Choi; Jeong-Min Kim
Journal:  PLoS One       Date:  2019-11-07       Impact factor: 3.240

4.  Mechanistic Phase II Clinical Trial of Metformin in Pulmonary Arterial Hypertension.

Authors:  Evan L Brittain; Kevin Niswender; Vineet Agrawal; Xinping Chen; Run Fan; Meredith E Pugh; Todd W Rice; Ivan M Robbins; Haocan Song; Christopher Thompson; Fei Ye; Chang Yu; He Zhu; James West; John H Newman; Anna R Hemnes
Journal:  J Am Heart Assoc       Date:  2020-11-10       Impact factor: 5.501

5.  Nuclear Magnetic Resonance Derived Biomarkers for Evaluating Cardiometabolic Risk in Youth and Young Adults Across the Spectrum of Glucose Tolerance.

Authors:  Stephanie T Chung; Samantha T Matta; Abby G Meyers; Celeste K Cravalho; Alfredo Villalobos-Perez; Joshua M Dawson; Vandhna R Sharma; Maureen L Sampson; James D Otvos; Sheela N Magge
Journal:  Front Endocrinol (Lausanne)       Date:  2021-05-18       Impact factor: 5.555

6.  Low Branched Chain Amino Acids and Tyrosine in Thai Patients with Type 2 Diabetes Mellitus Treated with Metformin and Metformin-Sulfonylurea Combination Therapies.

Authors:  Natthida Sriboonvorakul; Wirichada Pan-Ngum; Kittiyod Poovorawan; Sant Muangnoicharoen; Lauren M Quinn; Bee K Tan
Journal:  J Clin Med       Date:  2021-11-20       Impact factor: 4.241

7.  Multi-omics profiling: the way towards precision medicine in metabolic diseases.

Authors:  Cheng Hu; Weiping Jia
Journal:  J Mol Cell Biol       Date:  2021-08-18       Impact factor: 6.216

8.  An online atlas of human plasma metabolite signatures of gut microbiome composition.

Authors:  Koen F Dekkers; Sergi Sayols-Baixeras; Marju Orho-Melander; Tove Fall; Gabriel Baldanzi; Christoph Nowak; Ulf Hammar; Diem Nguyen; Georgios Varotsis; Louise Brunkwall; Nynne Nielsen; Aron C Eklund; Jacob Bak Holm; H Bjørn Nielsen; Filip Ottosson; Yi-Ting Lin; Shafqat Ahmad; Lars Lind; Johan Sundström; Gunnar Engström; J Gustav Smith; Johan Ärnlöv
Journal:  Nat Commun       Date:  2022-09-23       Impact factor: 17.694

9.  Comparative Evaluation of the Effect of Metformin and Insulin on Gut Microbiota and Metabolome Profiles of Type 2 Diabetic Rats Induced by the Combination of Streptozotocin and High-Fat Diet.

Authors:  Nan Hu; Qi Zhang; Hui Wang; Xuping Yang; Yan Jiang; Rong Chen; Liying Wang
Journal:  Front Pharmacol       Date:  2022-01-03       Impact factor: 5.810

10.  Evaluation of change in metabolome caused by comprehensive diabetes treatment: A prospective observational study of diabetes inpatients with gas chromatography/mass spectrometry-based non-target metabolomic analysis.

Authors:  Naohiro Taya; Naoto Katakami; Kazuo Omori; Shoya Arakawa; Shigero Hosoe; Hirotaka Watanabe; Mitsuyoshi Takahara; Kazuyuki Miyashita; Hitoshi Nishizawa; Taka-Aki Matsuoka; Masahiro Furuno; Takeshi Bamba; Junko Iida; Eiichiro Fukusaki; Iichiro Shimomura
Journal:  J Diabetes Investig       Date:  2021-07-01       Impact factor: 4.232

  10 in total

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