Body Composition

Adipose dysfunction, lipid dysregulation, and adipokines in sarcopenia: a systematic review and meta-analysis with sex-specific analyses.

TL;DR

Sarcopenia was associated with modest increases in LDL-C and significant increases in HDL-C in females, while no significant changes were observed for triglycerides, total cholesterol, adiponectin, leptin, or inflammatory markers, highlighting the need for sex-targeted interventions in sarcopenia management.

Key Findings

Sarcopenia was associated with a modest but significant increase in LDL-C overall, with a stronger effect observed in females.

  • Overall SMD for LDL-C = 0.13; P = .0022
  • Sex-specific analysis revealed a notably larger effect in females (SMD = 0.46)
  • Analysis based on 52 studies with N > 30,000 participants
  • Random-effects meta-analyses were used to pool estimates

HDL-C levels were significantly increased in females with sarcopenia compared to non-sarcopenic females.

  • SMD for HDL-C in females = 6.71; P = .03
  • No significant overall change in HDL-C was reported across both sexes combined
  • This was identified through sex-specific subgroup analyses
  • The finding was highlighted as one of the most clinically notable results of the review

No significant associations were observed between sarcopenia and triglycerides, total cholesterol, adiponectin, or leptin.

  • Triglycerides, total cholesterol, adiponectin, and leptin all showed non-significant results in meta-analyses
  • Adipokines adiponectin and leptin were specifically assessed as part of the adipose dysfunction analysis
  • Studies were drawn from publications between January 2015 and December 2024
  • These null findings persisted despite inclusion of over 30,000 participants across 52 studies

Waist circumference was significantly increased in sarcopenic individuals, while muscle indices were lower.

  • Waist circumference SMD = 5.82 cm; P = .25 (noted as significant increase despite the P-value reported)
  • Muscle indices including SMI (skeletal muscle index), ASMI (appendicular skeletal muscle mass index), and SMM (skeletal muscle mass) were all lower in sarcopenia
  • Adiposity markers were included alongside lipid and adipokine measures in the systematic review

Inflammatory markers TNF-α, IL-6, and IL-8 showed no significant associations with sarcopenia in the meta-analysis.

  • TNF-α, IL-6, and IL-8 were all assessed as inflammatory markers
  • None of the three markers reached statistical significance in the pooled analyses
  • Heterogeneity was assessed using I² statistics across all marker analyses
  • Publication bias was evaluated using funnel plots and Trim-and-Fill procedures

Subgroup analyses revealed that sex, measurement methods, and sarcopenia definitions significantly influenced lipid marker changes, as confirmed by meta-regression.

  • Meta-regression identified sex, measurement methods, and sarcopenia definitions as significant moderators of lipid marker changes
  • Different sarcopenia definitions (e.g., EWGSOP, AWGS) contributed to between-study heterogeneity
  • Subgroup analyses were pre-specified and the protocol was registered on PROSPERO (CRD42024626636)
  • PRISMA 2020 guidelines were followed for the systematic review

The systematic review included 52 studies with more than 30,000 participants, searching seven databases for studies published between January 2015 and December 2024.

  • Databases searched: PubMed, Scopus, Web of Science, Cochrane Library, CNKI, WanFang, and VIP
  • Inclusion criteria required studies to compare lipid panels, adipokines, adiposity, muscle indices, and inflammatory markers in sarcopenic versus non-sarcopenic adults
  • Random-effects meta-analyses were performed for all outcomes
  • The protocol was prospectively registered on PROSPERO (CRD42024626636)

Have a question about this study?

Citation

Arthur Vithran D, Hassan M, Rahmati M, Boyer L, Wehliye A, Xiao W, et al.. (2026). Adipose dysfunction, lipid dysregulation, and adipokines in sarcopenia: a systematic review and meta-analysis with sex-specific analyses.. Age and ageing. https://doi.org/10.1093/ageing/afag020