Evidence map›Paper›PMID 38438963›Full record

ArticleBMC infectious diseases2024

Causal effects of gut microbiome on HIV infection: a two-sample mendelian randomization analysis.

Kangjie Li, Cong Zhang, Jielian Deng, Haijiao Zeng, Yuan Zhang, Guichuan Lai, Xiaoni Zhong, Biao Xie

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
3.5field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.

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  7. TRIM family proteins: dual roles in tumor immunity.Frontiers in cell and developmental biology · 2026
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4 · The record

Corrections and comments

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

8 authors at 2 institutions in 1 country.

Kangjie LiCollege of Public Health, Chongqing Medical University, Chongqing, China.
Cong ZhangCollege of Public Health, Chongqing Medical University, Chongqing, China.
Jielian DengCollege of Public Health, Chongqing Medical University, Chongqing, China.
Haijiao ZengCollege of Public Health, Chongqing Medical University, Chongqing, China.
Yuan ZhangCollege of Public Health, Chongqing Medical University, Chongqing, China.
Guichuan LaiCollege of Public Health, Chongqing Medical University, Chongqing, China.
Xiaoni ZhongCollege of Public Health, Chongqing Medical University, Chongqing, China. zhongxiaoni@cqmu.edu.cn.
Biao XieCollege of Public Health, Chongqing Medical University, Chongqing, China. kybiao@cqmu.edu.cn.
Chongqing Public Health Medical Center · CNChongqing Medical University · CN

Funding

National Youth Science Foundation Project 82204159Science and Technology Research Program of Chongqing Municipal Education Commission No. KJQN202300423
6 · The paper itself

Abstract

backgroundThe causal association between gut microbiome and HIV infection remains to be elucidated. We conducted a two-sample mendelian randomization analysis to estimate the causality between gut microbiome and HIV infection.

methodsPublicly released genome-wide association studies summary data were collected to perform the mendelian analysis. The GWAS summary data of gut microbiome was retrieved from the MiBioGen consortium, which contains 18 340 samples from 24 cohorts. GWAS summary data of HIV infection was collected from the R5 release of FinnGen consortium, including 357 HIV infected cases and 218 435 controls. The SNPs were selected as instrumental variables according to our selection rules. And SNPs with a F-statistics less than ten were regarded as weak instrumental variables and excluded. Mendelian randomization analysis was conducted by five methods, including inverse variance weighted (IVW), MR-Egger, weighted median, weighted mode, and simple mode. The Cochran's Q test and MR-Egger intercept test were performed to identify heterogeneity and pleiotropy. Leave-one-out analysis were used to test the sensitivity of the results.

resultsFifteen gut microbiota taxa showed causal effects on HIV infection according to the MR methods. Four taxa were observed to increase the risk of HIV infection, including Ruminococcaceae (OR: 2.468[1.043, 5.842], P: 0.039), Ruminococcaceae UCG005 (OR: 2.051[1.048, 4.011], P: 0.036), Subdoligranulum (OR: 3.957[1.762, 8.887], P < 0.001) and Victivallis (OR: 1.605[1.012, 2.547], P=0.044). Erysipelotrichaceae was protective factor of HIV infection (OR: 0.278[0.106, 0.731], P < 0.001) and Methanobrevibacter was also found to be associated with reduced risk of HIV infection (OR: 0.509[0.265, 0.980], P=0.043). Horizontal pleiotropy was found for Fusicatenibacter (P<0.05) according to the MR-Egger regression intercept analysis. No heterogeneity was detected.

conclusionOur results demonstrate significant causal effects of gut microbiome on HIV infection. These findings facilitate future studies to develop better strategies for HIV prophylaxis through gut microbiome regulation. Further explorations are also warranted to dissect the mechanism of how gut microbiome affects HIV susceptibility.

Indexed as

Gastrointestinal MicrobiomeHIV InfectionsCausalityGenome-Wide Association StudyHumansMendelian Randomization AnalysisNonoxynolNonoxynolCausalityGut microbiomeHIV infectionMendelian randomization

Identifiers

PMID38438963
PMCPMC10913272
OpenAlexW4392381100

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.