Literature DB >> 26887663

Effect of metformin therapy on circulating amino acids in a randomized trial: the CAMERA study.

D Preiss1, N Rankin2,3, P Welsh2, R R Holman4, A J Kangas5, P Soininen5,6, P Würtz5, M Ala-Korpela5,6,7,8, N Sattar2.   

Abstract

AIMS: To investigate whether metformin therapy alters circulating aromatic and branched-chain amino acid concentrations, increased levels amino acid concentrations, increased levels of which have been found to predict Type 2 diabetes.
METHODS: In the Carotid Atherosclerosis: Metformin for Insulin Resistance (CAMERA) study (NCT00723307), 173 individuals without Type 2 diabetes, but with coronary disease, were randomized to metformin (n=86) or placebo (n=87) for 18 months. Plasma samples, taken every 6 months, were analysed using quantitative nuclear magnetic resonance spectroscopy. Ten metabolites consisting of eight amino acids [three branched-chain (isoleucine, leucine, valine), three aromatic (tyrosine, phenylalanine, histidine) and two other amino acids (alanine, glutamine)], lactate and pyruvate were quantified and analysed using repeated-measures models. On-treatment analyses were conducted to investigate whether amino acid changes were dependent on changes in weight, fat mass or insulin resistance estimated using homeostasis model assessment (HOMA-IR).
RESULTS: Tyrosine decreased [-6.1 μmol/l (95% CI -8.5, -3.7); P<0.0001], while alanine [42 umol/l (95% CI 25, 59); P<0.0001] increased in the metformin-treated group compared with the placebo-treated group. Decreases in phenylalanine [-2.0 μmol/l (95% CI -3.6, -0.3); P=0.018] and increases in histidine [2.3 μmol/l (95% CI 0.1, 4.6); P=0.045] were also observed in the metformin group, although these changes were less statistically robust. Changes in these four amino acids were not accounted for by changes in weight, fat mass or HOMA-IR values. Levels of branched-chain amino acids, glutamine, pyruvate and lactate were not altered by metformin therapy.
CONCLUSIONS: Metformin therapy results in a sustained and specific pattern of changes in aromatic amino acid and alanine concentrations. These changes are independent of any effects on weight and insulin sensitivity. Any causal link to metformin's unexplained cardiometabolic benefit requires further study.
© 2016 Diabetes UK.

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Year:  2016        PMID: 26887663     DOI: 10.1111/dme.13097

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


  14 in total

1.  Circulating Branched-Chain Amino Acids and Incident Cardiovascular Disease in a Prospective Cohort of US Women.

Authors:  Deirdre K Tobias; Patrick R Lawler; Paulo H Harada; Olga V Demler; Paul M Ridker; JoAnn E Manson; Susan Cheng; Samia Mora
Journal:  Circ Genom Precis Med       Date:  2018-04

2.  Plasma amino acid and metabolite signatures tracking diabetes progression in the UCD-T2DM rat model.

Authors:  Brian D Piccolo; James L Graham; Kimber L Stanhope; Oliver Fiehn; Peter J Havel; Sean H Adams
Journal:  Am J Physiol Endocrinol Metab       Date:  2016-04-19       Impact factor: 4.310

Review 3.  Altered branched chain amino acid metabolism: toward a unifying cardiometabolic hypothesis.

Authors:  Deirdre K Tobias; Samia Mora; Subodh Verma; Patrick R Lawler
Journal:  Curr Opin Cardiol       Date:  2018-09       Impact factor: 2.161

Review 4.  Metformin and Systemic Metabolism.

Authors:  Ling He
Journal:  Trends Pharmacol Sci       Date:  2020-09-28       Impact factor: 14.819

Review 5.  Applying metabolomics to cardiometabolic intervention studies and trials: past experiences and a roadmap for the future.

Authors:  Naomi J Rankin; David Preiss; Paul Welsh; Naveed Sattar
Journal:  Int J Epidemiol       Date:  2016-10-27       Impact factor: 7.196

6.  Metabolite profiling in identifying metabolic biomarkers in older people with late-onset type 2 diabetes mellitus.

Authors:  Zhi Yang Tam; Sean Pin Ng; Ling Qiao Tan; Chih-Hsien Lin; Dietrich Rothenbacher; Jochen Klenk; Bernhard Otto Boehm
Journal:  Sci Rep       Date:  2017-06-29       Impact factor: 4.379

7.  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

8.  Circulating amino acids and the risk of macrovascular, microvascular and mortality outcomes in individuals with type 2 diabetes: results from the ADVANCE trial.

Authors:  Paul Welsh; Naomi Rankin; Qiang Li; Patrick B Mark; Peter Würtz; Mika Ala-Korpela; Michel Marre; Neil Poulter; Pavel Hamet; John Chalmers; Mark Woodward; Naveed Sattar
Journal:  Diabetologia       Date:  2018-05-04       Impact factor: 10.122

9.  A High Level of Circulating Valine Is a Biomarker for Type 2 Diabetes and Associated with the Hypoglycemic Effect of Sitagliptin.

Authors:  Xiaoyu Liao; Bingyao Liu; Hua Qu; LinLin Zhang; Yongling Lu; Yong Xu; Zhaohui Lyu; Hongting Zheng
Journal:  Mediators Inflamm       Date:  2019-11-11       Impact factor: 4.711

10.  Effects of Anthocyanin Extracts from Bilberry (Vaccinium myrtillus L.) and Purple Potato (Solanum tuberosum L. var. 'Synkeä Sakari') on the Plasma Metabolomic Profile of Zucker Diabetic Fatty Rats.

Authors:  Kang Chen; Xuetao Wei; Jian Zhang; Raghunath Pariyani; Johanna Jokioja; Maaria Kortesniemi; Kaisa M Linderborg; Jari Heinonen; Tuomo Sainio; Yumei Zhang; Baoru Yang
Journal:  J Agric Food Chem       Date:  2020-08-20       Impact factor: 5.279

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