Evidence map›Paper›PMID 40241363›Full record

ArticleZhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics2025

[Causal association between gut microbiota and food allergy: a Mendelian randomization analysis].

Li-Xin Hu, Guo-Zhen Fan, Hui Ma, Lei Li, Fang Wang, Zheng-Hai Qu, Ren-Zheng Guan

Abstract readEnglish Abstract
PubMed Full text at PMC Publisher
In one paragraph

Article in Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Li-Xin HuDepartment of Pediatric Respiratory and Cardiovascular Medicine, Affiliated Hospital of Qingdao University, Qingdao, Shandong 266555, China.
Guo-Zhen FanDepartment of Pediatric Respiratory and Cardiovascular Medicine, Affiliated Hospital of Qingdao University, Qingdao, Shandong 266555, China.
Hui MaDepartment of Pediatric Respiratory and Cardiovascular Medicine, Affiliated Hospital of Qingdao University, Qingdao, Shandong 266555, China.
Lei LiDepartment of Pediatric Respiratory and Cardiovascular Medicine, Affiliated Hospital of Qingdao University, Qingdao, Shandong 266555, China.
Fang WangDepartment of Pediatric Respiratory and Cardiovascular Medicine, Affiliated Hospital of Qingdao University, Qingdao, Shandong 266555, China.
Zheng-Hai QuDepartment of Pediatric Respiratory and Cardiovascular Medicine, Affiliated Hospital of Qingdao University, Qingdao, Shandong 266555, China.
Ren-Zheng GuanDepartment of Pediatric Respiratory and Cardiovascular Medicine, Affiliated Hospital of Qingdao University, Qingdao, Shandong 266555, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo analyze the potential causal relationship between gut microbiota and food allergy (FA) using two-sample Mendelian randomization (MR) methods.

methodsData from genome-wide association studies on gut microbiota and FA were utilized. MR analysis was conducted employing inverse variance weighting, MR-Egger regression, and weighted median methods to assess the causal relationship between gut microbiota and FA. Cochrane's

resultsInverse variance weighting analysis revealed that the phylum

conclusionsThere is a causal relationship between gut microbiota and FA, with

Indexed as

Food HypersensitivityGastrointestinal MicrobiomeMendelian Randomization AnalysisGenome-Wide Association StudyHumansPolymorphism, Single NucleotideAkkermansiaFood allergyGut microbiotaMendelian randomizationRuminococcaceae UCG013Verrucomicrobia

Identifiers

PMID40241363
PMCPMC12011006

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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.