Evidence map›Paper›PMID 39736991›Full record

ArticleFrontiers in microbiology2024

Genetically predicted immune cells mediate the association between gut microbiota and autoimmune liver diseases.

Jikang Zhang, Yiqi Hu, Jin Xu, Hua Shao, Qingping Zhu, Hao Si

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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

6 authors.

Jikang Zhang *General Surgery Department, The Second Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Yiqi Hu *General Surgery Department, The Second Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Jin Xu *General Surgery Department, The Second Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Hua ShaoGeneral Surgery Department, The Second Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Qingping ZhuDigestive Endoscopic Treatment Center, The Second Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Hao SiGeneral Surgery Department, Nanjing Pukou District Traditional Chinese Medicine Hospital, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Increasing evidence suggests an association between gut microbiota and Autoimmune Liver Diseases (AILDs). However, causal inference remains controversial due to confounding bias in observational studies. Additionally, there is currently no clear evidence indicating that immune cells act as intermediate phenotypes in the pathogenesis of AILDs. This study utilizes the Mendelian Randomization (MR) method to investigate the causal relationships among gut microbiota, immune cells, and AILDs. Methods: Initially, we conducted a two-sample MR analysis to predict the causal relationships among 412 gut microbiota, 731 immune phenotypes, and AILDs. Subsequently, a series of sensitivity analyses were performed to validate the initial MR results and reverse MR analysis was conducted to exclude reverse causality. Finally, a two-step MR analysis was utilized to quantify the proportion of the impact of gut microbiota on AILDs mediated by immune cells. Results: Following rigorous MR analysis, our findings indicate that increased involvement of the gut microbiome in the Conclusion: Our study highlights the potential mediating mechanisms of immune cells in the causal relationship between the gut microbiome and AILDs. These insights provide a foundation for developing preventive strategies for AILDs in clinical practice.

Indexed as

autoimmune hepatitisgut microbiotaimmune cellsMendelian randomizationprimary biliary cholangitisprimary sclerosing cholangitis

Identifiers

PMID39736991
PMCPMC11684339

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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.