Leukocyte telomere length and sarcopenia-related traits: A bidirectional Mendelian randomization study

PLoS One. 2024 Jan 2;19(1):e0296063. doi: 10.1371/journal.pone.0296063. eCollection 2024.

Abstract

Accumulating evidence indicated that leukocyte telomere length (LTL) was related to sarcopenia. However, it is still not clear whether the association of changes in LTL with sarcopenia is likely to be causal, or could be explained by reverse causality. Thus, we carried on bidirectional Mendelian randomization (MR) and multivariable MR analyses to identify the causal relationship between LTL and sarcopenia-related traits. Summary-level data and independent variants used as instruments came from large genome-wide association studies of LTL (472,174 participants), appendicular lean mass (450,243 participants), low grip strength (256,523 participants), and walking pace (450,967 participants). We identified suggestive association of longer LTL with larger appendicular lean mass [odds ratio (OR) = 1.053; 95% confidence interval (CI), 1.009-1.099; P = 0.018], and causal association of longer LTL with a lower risk of low grip strength (OR = 0.915; 95% CI, 0.860-0.974; P = 0.005). In the reverse MR analysis, we also observed a positive causal association between walking pace and LTL (OR = 1.252; 95% CI, 1.121-1.397; P < 0.001). Similar results can be repeated in sensitivity analyses. While in the multivariable MR analysis, the estimate of the impact of walking pace on LTL underwent a transformation after adjusting for T2DM (OR = 1.141; 95%CI: 0.989-1.317; P = 0.070). The current MR analysis supported a causal relationship between shorter telomere length and both low muscle mass and strength. Additionally, walking pace may affect LTL through T2DM.

MeSH terms

  • Diabetes Mellitus, Type 2*
  • Genome-Wide Association Study
  • Humans
  • Leukocytes
  • Mendelian Randomization Analysis
  • Sarcopenia* / genetics
  • Telomere / genetics

Grants and funding

Funder Name: Zhejiang Province Traditional Chinese Medicine Science and Technology Project Grant Number: 2023ZR075 Grant Recipient: Xiaoming Guo The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.