Evidence map›Paper›PMID 38982318›Full record

ArticleBMC medical genomics2024

Mendelian randomization analysis reveals higher whole body water mass may increase risk of bacterial infections.

Peng Yan, Jiahuizi Yao, Ben Ke, Xiangdong Fang

Abstract read
In one paragraph

Article in BMC medical genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Exploring the Potential Roles ofInternational journal of molecular sciences · 2025
    Article
4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Peng YanDepartment of Nephrology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330000, China. pengyan5801@163.com.
Jiahuizi YaoDepartment of Nephrology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330000, China.
Ben KeDepartment of Nephrology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330000, China.
Xiangdong FangDepartment of Nephrology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330000, China. 403007210014@email.ncu.edu.cn.

Funding

The National Natural Science Foundation of China 82160143
6 · The paper itself

Abstract

background and purposeThe association of water loading with several infections remains unclear. Observational studies are hard to investigate definitively due to potential confounders. In this study, we employed Mendelian randomization (MR) analysis to assess the association between genetically predicted whole body water mass (BWM) and several infections.

methodsBWM levels were predicted among 331,315 Europeans in UK Biobank using 418 SNPs associated with BWM. For outcomes, we used genome-wide association data from the UK Biobank and FinnGen consortium, including sepsis, pneumonia, intestinal infections, urinary tract infections (UTIs) and skin and soft tissue infections (SSTIs). Inverse-variance weighted MR analyses as well as a series of sensitivity analyses were conducted.

resultsGenetic prediction of BWM is associated with an increased risk of sepsis (OR 1.34; 95% CI 1.19 to 1.51; P = 1.57 × 10

conclusionsIn this study, the causal relationship between BWM and infectious diseases was systematically investigated. Further prospective studies are necessary to validate these findings.

Indexed as

Bacterial InfectionsGenome-Wide Association StudyMendelian Randomization AnalysisPolymorphism, Single NucleotideFemaleHumansMaleRisk FactorsSepsisUrinary Tract InfectionsBody water massInfectionsMendelian randomizationPneumoniaSepsisSkin infectionsUTIs

Identifiers

PMID38982318
PMCPMC11232203

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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 OpenQuestion graph.