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Stable isotope approaches to study muscle mass outcomes in clinical populations

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

Both low muscle mass and muscle loss are associated with reduced physical function, mobility, independence, and quality of life, and are characteristic of a number of clinical conditions including diabetes, cardiovascular disease (CVD), chronic obstructive pulmonary disease (COPD), and critical illness. The accurate measurement of muscle mass is critical to assess the efficacy of an intervention or therapy. Stable isotope amino acid approaches can be used to quantify specific aspects of whole-body and muscle protein turnover, including synthesis and breakdown, which play distinctive roles in muscle mass maintenance in direct response to therapies. This review aims to elucidate whether acute responses measured using stable isotope amino acid tracers relate to changes in muscle mass in vulnerable clinical populations. Experimental studies quantifying whole-body protein synthesis and breakdown rates in clinical populations have been conducted to determine the response to nutritional interventions or to compare disease with health; however, these studies show limited potential to translate to expected muscle mass outcomes. In addition, clinical studies that have assessed both muscle mass and acute changes in whole-body or muscle protein turnover are lacking. We argue that the assessment of both muscle protein synthesis and breakdown rates, or simply limb net balance, obtains the most complete picture in relation to muscle-specific outcomes. While stable isotope amino acid tracer experiments provide meaningful mechanistic insight into the acute response to clinical interventions, they should be combined with, and/or followed-up by, longer-term studies incorporating measurements of muscle mass to ascertain the impact of an intervention on muscle mass maintenance in clinical populations.

Original languageEnglish
Pages (from-to)98-108
Number of pages11
JournalClinical Nutrition Open Science
Volume36
DOIs
Publication statusPublished - Apr 2021
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Amino acid
  • Muscle mass
  • Protein metabolism
  • Stable isotope tracers

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