Role of Metabolic Syndrome Traits on Infectious Diseases: A Mendelian Randomization Study

Area of Science:

• Genetics and Epidemiology
• Infectious Disease Research
• Metabolic Health Studies

Background:

• Metabolic syndrome (MetS) is a cluster of conditions that increase the risk of heart disease, stroke, and diabetes.
• The causal relationship between MetS and infectious diseases remains incompletely understood.
• Understanding these links is vital for public health strategies and clinical management.

Purpose of the Study:

• To investigate the causal associations between MetS and its components (SBP, FG, WC, HDL-C, TG) and seven infectious diseases using Mendelian randomization (MR).
• To identify specific MetS components that contribute to increased infectious disease risk.
• To provide evidence for the role of metabolic health in infection susceptibility.

Main Methods:

• Mendelian randomization (MR) analysis was employed to assess causal relationships.
• Inverse-variance weighted (IVW) method was the primary analytical approach.
• Sensitivity analyses were performed to ensure the robustness of the findings, checking for heterogeneity and horizontal pleiotropy.

Main Results:

• MetS was causally linked to increased risks of COVID-19 infection, hospitalized COVID-19, very severe COVID-19, and sepsis.
• Waist circumference (WC) was associated with higher risks of COVID-19 infection, hospitalized COVID-19, very severe COVID-19, bacterial pneumonia, and sepsis.
• High-density lipoprotein cholesterol (HDL-C) was associated with reduced risks of intestinal infection and sepsis.

Conclusions:

• This MR study provides robust evidence supporting a causal link between MetS traits and an increased risk of several infectious diseases.
• Metabolic dysregulation, particularly increased waist circumference, is a significant risk factor for severe infections.
• Effective management of metabolic health is crucial for mitigating the risk and severity of infectious diseases.