Evidence map›Paper›PMID 41415798›Full record

ArticleInternational journal of public health2025

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

Si Cao, Youjie Zeng, Xiaoyi Zhang, Juan Tang, Jie Huang, Guoxin Lin

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PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Si CaoDepartment of Anesthesiology, Third Xiangya Hospital, Central South University, Changsha, China.
Youjie ZengDepartment of Anesthesiology, Third Xiangya Hospital, Central South University, Changsha, China.
Xiaoyi ZhangDepartment of Medicine, Jacobi Medical Center, Albert Einstein College of Medicine, Bronx, NY, United States.
Juan TangDepartment of Nephrology, Third Xiangya Hospital, Central South University, Critical Kidney Disease Research Center of Central South University, Changsha, China.
Jie HuangClinical Research Center for Reproduction and Genetics in Hunan Province, Reproductive and Genetic Hospital of CITIC-XIANGYA, Changsha, China.
Guoxin LinDepartment of Anesthesiology, Third Xiangya Hospital, Central South University, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To explore the causal association of metabolic syndrome (MetS) and its components [systolic blood pressure (SBP), fasting blood glucose (FG), waist circumference (WC), high-density lipoprotein cholesterol (HDL-C), and triglycerides (TG)] with seven infectious diseases (COVID-19 infection, hospitalized COVID-19, very severe COVID-19, bacterial pneumonia, influenza, intestinal infection, and sepsis) using Mendelian randomization (MR) analysis. Methods: Causal estimates were primarily obtained using the inverse-variance weighted method, with multiple sensitivity analyses conducted to assess heterogeneity and horizontal pleiotropy. Results: MetS was causally associated with higher risks of COVID-19 infection (OR = 1.09), hospitalized COVID-19 (OR = 1.27), very severe COVID-19 (OR = 1.40), and sepsis (OR = 1.50). Among MetS components, WC increased risks of COVID-19 infection (OR = 1.10), hospitalized COVID-19 (OR = 1.39), very severe COVID-19 (OR = 1.56), bacterial pneumonia (OR = 1.11), and sepsis (OR = 1.42), while HDL-C reduced risks of intestinal infection (OR = 0.96) and sepsis (OR = 0.92). Conclusion: This MR study supports a causal link between MetS traits and several infectious diseases, emphasizing the importance of metabolic management in reducing infection susceptibility.

Indexed as

Communicable DiseasesCOVID-19Metabolic SyndromeCholesterol, HDLHumansMendelian Randomization AnalysisRisk FactorsSARS-CoV-2SepsisWaist CircumferenceCholesterol, HDLbacterial pneumoniacausal inferenceCOVIDintestinal infectionmetabolic syndrome

Identifiers

PMID41415798
PMCPMC12708360

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.