Literature DB >> 35218850

Amino acid profile of skeletal muscle loss in type 2 diabetes: Results from a 7-year longitudinal study in asians.

Serena Low1, Jiexun Wang2, Angela Moh2, Su Fen Ang2, Keven Ang2, Yi-Ming Shao2, Jianhong Ching3, Hai Ning Wee4, Lye Siang Lee4, Jean-Paul Kovalik4, Wern Ee Tang5, Ziliang Lim5, Tavintharan Subramaniam6, Chee Fang Sum6, Su Chi Lim7.   

Abstract

AIMS: Little is known about pathophysiology of sarcopenia in diabetes. We aimed to study amino acid profile associated with skeletal muscle mass loss longitudinally in Type 2 Diabetes Mellitus (T2DM).
METHODS: This is a prospective study of 1140 patients aged 56.6 ± 10.6 years from the SMART2D cohort. Skeletal muscle mass was measured using bio-impedance analysis at baseline and follow-up. Amino acids were measured by mass spectrometry.
RESULTS: Over a period of up to 7.9 years, 43.9% experienced skeletal muscle mass loss. Lower baseline valine, leucine and isoleucine levels were associated with decreased skeletal muscle mass index (SMI) with corresponding coefficient 0.251(95 %CI 0.009 to 0.493), 0.298(95 %CI 0.051 to 0.544)) and 0.366(95 %CI 0.131 to 0.600). Higher baseline valine, leucine, isoleucine, alanine and tryptophan levels were associated with reduced odds of muscle mass loss with corresponding odds ratio (OR)0.797 (95 %CI 0.690 to 0.921), 0.825 (95 %CI 0.713 to 0.955), 0.826 (95 %CI 0.718-0.950), 0.847 (95 %CI 0.739-0.969) and 0.835 (95 %CI 0.720-0.979).
CONCLUSION: The branched-chain amino acids valine, leucine and isoleucine were positively associated with change in SMI and reduced odds of muscle mass loss longitudinally. Further studies should be conducted to elucidate the pathophysiological mechanisms underlying the relationship between these amino acids and muscle mass loss in T2DM.
Copyright © 2022 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Amino acid; Sarcopenia; Type 2 diabetes

Mesh:

Substances:

Year:  2022        PMID: 35218850     DOI: 10.1016/j.diabres.2022.109803

Source DB:  PubMed          Journal:  Diabetes Res Clin Pract        ISSN: 0168-8227            Impact factor:   5.602


  1 in total

Review 1.  Bioelectrical Impedance Analysis for the Assessment of Body Composition in Sarcopenia and Type 2 Diabetes.

Authors:  Stefano Sbrignadello; Christian Göbl; Andrea Tura
Journal:  Nutrients       Date:  2022-04-29       Impact factor: 6.706

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.