Evidence map›Paper›PMID 39889191›Full record

ArticleMedicine2025

Gut microbiota, inflammatory cytokines and gastro-esophageal reflux disease: A Mendelian randomization analysis.

Qilin Wang, Shenghui Ma, Mengjie Liu, Yu Tao, Zhiguang Sun

Abstract read
In one paragraph

Article in Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
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

5 authors.

Qilin WangNanjing University of Chinese Medicine, Nanjing, Jiangsu Province, China.
Shenghui Ma
Mengjie Liu
Yu Tao

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gut microbiota has been recognized as an extrahepatic manifestation of gastro-esophageal reflux disease (GERD) in observational studies. However, the directionality and causality of the association and whether cytokines act as a mediator remain unclear. We aim to estimate the casual relationship between gut microbiota, inflammatory cytokines and GERD using a 2-sample Mendelian randomization method. Gut microbiota, cytokines, and GERD were identified using summary data from the genome-wide association studies and the FinnGen consortium. The primary method for causal estimation was the inverse-variance weighted approach, complemented by a range of sensitivity analyses aimed at assessing heterogeneity, horizontal pleiotropy, and the robustness of the findings. Furthermore, mediation analysis was conducted to evaluate the association between gut microbiota and GERD, with 5 cytokines, and to calculate the mediated proportions. We found 3 positive and 3 negative causal associations observed between genetic predisposition in gut microbiota and GERD. Additionally, 2 positive and 3 negative causal associations were identified between cytokines and GERD. Our analysis unveiled that TNF-related apoptosis-inducing ligand levels (TRAIL) mediated the causal relationships between the genera Family XIII UCG001 and Senegalimassilia, and GERD. We identified causal effects between 6 bacterial traits, 5 inflammatory cytokines, and GERD. Notably, we furnished causal evidence linking TRAIL levels to a substantial proportion of the risk attributed to genus Family XIII UCG001 and genus Senegalimassilia, thereby mediating the risk of GERD. These findings offer novel avenues for therapeutic interventions targeting individuals with GERD.

Indexed as

CytokinesGastroesophageal RefluxGastrointestinal MicrobiomeGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMendelian Randomization AnalysisCytokines

Identifiers

PMID39889191
PMCPMC11789916

What OpenQuestion holds

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Registered trials

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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.