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Muscle mass and inflammation in older adults: impact of the metabolic syndrome

  • Background: Inflammatory processes are a cause of accelerated loss of muscle mass. Metabolic syndrome (MetS) is a highly prevalent age-related condition, which may promote and be promoted by inflammation. However, whether inflammation in MetS (metaflammation) is associated with lower muscle mass is still unclear. Methods: Complete cross-sectional data on body composition, MetS, and the inflammatory markers interleukin (IL)-1 beta, IL-6, IL-10, tumor necrosis factor (TNF), and C-reactive protein (CRP) were available for 1,377 BASE-II participants (51.1% women; 68 +/- 4 years old). Appendicular lean mass (ALM) was assessed by dual-energy X-ray absorptiometry. Low muscle mass (low ALM-to-BMI ratio [ALMBMI]) was defined according to the Foundation for the National Institutes of Health (FNIH) Sarcopenia Project. Regression models, adjusted for an increasing number of confounders (sex, age, physical activity, morbidities, diabetes mellitus type II, TSH, albumin, HbA1c, smoking habits, alcohol intake, education, and energy intake/day), wereBackground: Inflammatory processes are a cause of accelerated loss of muscle mass. Metabolic syndrome (MetS) is a highly prevalent age-related condition, which may promote and be promoted by inflammation. However, whether inflammation in MetS (metaflammation) is associated with lower muscle mass is still unclear. Methods: Complete cross-sectional data on body composition, MetS, and the inflammatory markers interleukin (IL)-1 beta, IL-6, IL-10, tumor necrosis factor (TNF), and C-reactive protein (CRP) were available for 1,377 BASE-II participants (51.1% women; 68 +/- 4 years old). Appendicular lean mass (ALM) was assessed by dual-energy X-ray absorptiometry. Low muscle mass (low ALM-to-BMI ratio [ALMBMI]) was defined according to the Foundation for the National Institutes of Health (FNIH) Sarcopenia Project. Regression models, adjusted for an increasing number of confounders (sex, age, physical activity, morbidities, diabetes mellitus type II, TSH, albumin, HbA1c, smoking habits, alcohol intake, education, and energy intake/day), were used to calculate the association between low ALMBMI and high inflammation (tertile 3) according to MetS. Results: MetS was present in 36.2% of the study population, and 9% had low ALMBMI. In the whole study population, high CRP (odds ratio [OR]: 2.7 [95% CI: 1.6-4.7; p = 0.001]) and high IL-6 (OR: 2.1 [95% CI: 1.2-1.9; p = 0.005]) were associated with low ALMBMI. In contrast, no significant association was found between TNF, IL-10, or IL-1 beta with low ALMBMI. When participants were stratified by MetS, results for IL-6 remained significant only in participants with MetS. Conclusions: Among BASE-II participants, low ALMBMI was associated with inflammation. Low-grade inflammation triggered by disease state, especially in the context of MetS, might favor loss of muscle mass, so a better control of MetS might help to prevent sarcopenia. Intervention studies to test whether strategies to prevent MetS might also prevent loss of muscle mass seem to be promising.show moreshow less

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Author details:Nikolaus BuchmannORCiD, Jens Fielitz, Dominik Spira, Maximilian König, Kristina NormanORCiDGND, Graham Pawelec, David Goldeck, Ilja Demuth, Elisabeth Steinhagen-Thiessen
DOI:https://doi.org/10.1159/000520096
ISSN:0304-324X
ISSN:1423-0003
Pubmed ID:https://pubmed.ncbi.nlm.nih.gov/35100595
Title of parent work (English):Gerontology
Publisher:Karger
Place of publishing:Basel
Publication type:Article
Language:English
Date of first publication:2022/01/31
Publication year:2022
Release date:2024/07/01
Tag:inflammation; metabolic syndrome; muscle mass
Volume:68
Issue:9
Number of pages:10
First page:989
Last Page:998
Funding institution:BASE-II research project [01UW0808, 16SV5536K, 16SV5537, 16SV5538,; 16SV5837, 01GL1716A, 01GL1716B]; German Federal Ministry of Education; and Research (Bundesministerium fuer Bildung und Forschung, BMBF); Max; Planck Institute for Human Development
Organizational units:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Ernährungswissenschaft
Peer review:Referiert
Publishing method:Open Access / Hybrid Open-Access
License (German):License LogoCC-BY - Namensnennung 4.0 International
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