Gut microbiome and frailty: insight from genetic correlation and mendelian randomization

Gut Microbes. 2023 Dec;15(2):2282795. doi: 10.1080/19490976.2023.2282795. Epub 2023 Nov 21.

Abstract

Observational studies have shown that the gut microbiome is associated with frailty. However, whether these associations underlie causal effects remains unknown. Thus, this study aimed to assess the genetic correlation and causal relationships between the genetically predicted gut microbiome and frailty using linkage disequilibrium score regression (LDSC) and Mendelian Randomization (MR). Summary statistics for the gut microbiome were obtained from a genome-wide association study (GWAS) meta-analysis of the MiBioGen consortium (N = 18,340). Summary statistics for frailty were obtained from a GWAS meta-analysis, including the UK Biobank and TwinGene (N = 175,226). We used LDSC and MR analyses to estimate the genetic correlation and causality between the genetically predicted gut microbiome and frailty. Our findings indicate a suggestive genetic correlation between Christensenellaceae R-7 and frailty. Moreover, we found evidence for suggestive causal effects of twelve genus-level gut microbes on frailty using at least two MR methods. There was no evidence of horizontal pleiotropy or heterogeneity in the MR analysis. This study provides suggestive evidence for a potential genetic correlation and causal association between several genetically predicted gut microbes and frailty. More population-based observational studies and animal experiments are required to clarify this association and the underlying mechanisms.

Keywords: Gut microbes; frailty; genetic correlation; mendelian randomization.

Publication types

  • Meta-Analysis

MeSH terms

  • Frailty* / genetics
  • Gastrointestinal Microbiome* / genetics
  • Genome-Wide Association Study
  • Humans
  • Mendelian Randomization Analysis

Grants and funding

This study was supported by the National Natural Science Foundation of China (Nos.81803910 and 81973615), Capital’s Funds for Health, and the Qi-Huang Scholar Chief Scientist Program of National Administration of Traditional Chinese Medicine Leading Talents Support Program (2021).