Obesity-related indicators and tuberculosis: A Mendelian randomization study

PLoS One. 2024 Apr 1;19(4):e0297905. doi: 10.1371/journal.pone.0297905. eCollection 2024.

Abstract

Purpose: Obesity is a strong risk factor for many diseases, with controversy regarding the cause(s) of tuberculosis (TB) reflected by contradictory findings. Therefore, a larger sample population is required to determine the relationship between obesity and TB, which may further inform treatment.

Methods: Obesity-related indicators and TB mutation data were obtained from a genome-wide association study database, while representative instrumental variables (IVs) were obtained by screening and merging. Causal relationships between exposure factors and outcomes were determined using two-sample Mendelian randomization (MR) analysis. Three tests were used to determine the representativeness and stability of the IVs, supported by sensitivity analysis.

Results: Initially, 191 single nucleotide polymorphisms were designated as IVs by screening, followed by two-sample MR analysis, which revealed the causal relationship between waist circumference [odds ratio (OR): 2.13 (95% confidence interval (CI): 1.19-3.80); p = 0.011] and TB. Sensitivity analysis verified the credibility of the IVs, none of which were heterogeneous or horizontally pleiotropic.

Conclusion: The present study determined the causal effect between waist circumference and TB by two-sample MR analysis and found both to be likely to be potential risk factors.

MeSH terms

  • Genome-Wide Association Study*
  • Humans
  • Mendelian Randomization Analysis
  • Obesity / complications
  • Obesity / genetics
  • Polymorphism, Single Nucleotide
  • Risk Factors
  • Tuberculosis* / complications
  • Tuberculosis* / epidemiology
  • Tuberculosis* / genetics

Grants and funding

This study was supported by the impact of 4C continuity of care model on non-invasive ventilator use in patients with chronic obstructive pulmonary disease (Project number: 2101320712A2012). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.