Evidence map›Paper›PMID 37242290›Full record

ArticleNutrients2023

The Effects of Specific Gut Microbiota and Metabolites on IgA Nephropathy-Based on Mendelian Randomization and Clinical Validation.

Fang Wang, Ning Li, Siming Ni, Yu Min, Kang Wei, Hongbin Sun, Yuqi Fu, Yalan Liu, Dan Lv

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
5.4field-weighted citation impact, top 4% 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, 27 citations in OpenAlex.

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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

9 authors at 5 institutions in 1 country.

Fang WangInstitute of Nephrology, Liyang Hospital of Chinese Medicine, Liyang 213300, China.
Ning LiInstitute of Nephrology, Southeast University School of Medicine, Nanjing 210009, China.
Siming NiJiangsu Province Hospital of Traditional Chinese Medicine, Nanjing University of Chinese Medicine, Nanjing 210000, China.
Yu MinDepartment of Biotherapy and National Clinical Research Center, West China Hospital, Sichuan University, Chengdu 610041, China.
Kang WeiYangzhou People's Hospital, Yangzhou University, Yangzhou 225000, China.
Hongbin SunJiangsu Province Hospital of Traditional Chinese Medicine, Nanjing University of Chinese Medicine, Nanjing 210000, China.
Yuqi FuInstitute of Nephrology, Southeast University School of Medicine, Nanjing 210009, China.
Yalan LiuJiangsu Province Hospital of Traditional Chinese Medicine, Nanjing University of Chinese Medicine, Nanjing 210000, China.
Dan LvInstitute of Nephrology, Liyang Hospital of Chinese Medicine, Liyang 213300, China.
Jiangsu Province Hospital · CNNanjing University of Chinese Medicine · CNSoutheast University · CNSichuan University · CNYangzhou University · CN

Funding

Postgraduate Research & Practice Innovation Program of Jiangsu Province SJCX22_0743Six Talent Peaks Project of Jiangsu Province of China 2019-WSN-021
6 · The paper itself

Abstract

backgroundAlthough recent research suggests that alterations in gut microbiota and metabolites play a critical role in the pathophysiology of immunoglobulin A nephropathy (IgAN), the causal relationship between specific intestinal flora and metabolites and the risk of IgAN remains unclear.

methodThis study employed Mendelian randomization (MR) to investigate the causal association between gut microbiota and IgAN. To explore potential associations between gut microbiota and various outcomes, four MR methods were applied: inverse variance weighted (IVW), MR-Egger, weighted median, and weighted mode. If the results of the four methods are inconclusive, we prefer the IVW as the primary outcome. Additionally, MR-Egger, MR-PRESSO-Global, and Cochrane's Q tests were used to detect heterogeneity and pleiotropy. The stability of MR findings was assessed using the leave-one-out approach, and the strength of the causal relationship between exposure and outcome was tested using Bonferroni correction. Additional clinical samples were utilized to validate the results of Mendelian randomization, and the outcomes were visualized through an ROC curve, confusion matrix, and correlation analysis.

resultThis study examined a total of 15 metabolites and 211 microorganisms. Among them, eight bacteria and one metabolite were found to be associated with the risk of IgAN (

conclusionThrough MR analysis, we established a causal link between Actinobacteria and the incidence of IgAN. Moreover, clinical validation using fecal samples indicated that Actinobacteria might be associated with the onset and poorer prognosis of IgAN. This finding could provide valuable biomarkers for early, noninvasive detection of the disease and potential therapeutic targets in IgAN.

Indexed as

ActinobacteriaGastrointestinal MicrobiomeGlomerulonephritis, IGAMicrobiotaGenome-Wide Association StudyHumansMendelian Randomization AnalysisPolymorphism, Single Nucleotidecausal effectgeneticgut metabolitesintestinal floraMendelian randomization

Identifiers

PMID37242290
PMCPMC10221929
OpenAlexW4377242130

What OpenQuestion holds

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LicenceCC BY
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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.