Evidence map›Paper›PMID 41474150›Full record

ArticleBrain and behavior2026

Identifying Immune Cells as Mediators in the Impact of Gut Microbiota on Congenital Malformations of the Nervous System.

Haokun Tian, Xiaolan Guo, Jialu Yu, Yuanfang Lu, Wensen Cao, Xiuwei Wang, Zhiqiang Zhu, Zhen Guan, Aiyun Yang, Shen Li and 3 more

Abstract read
In one paragraph

Article in Brain and behavior, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

13 authors.

Haokun TianLaboratory of Translational Medicine, Beijing Municipal Key Laboratory of Child Development and Nutriomics, Capital Institute of Pediatrics, Beijing, China.
Xiaolan GuoLaboratory of Translational Medicine, Beijing Municipal Key Laboratory of Child Development and Nutriomics, Capital Institute of Pediatrics, Beijing, China.
Jialu YuLaboratory of Translational Medicine, Beijing Municipal Key Laboratory of Child Development and Nutriomics, Capital Institute of Pediatrics, Beijing, China.
Yuanfang LuBeijing Key Laboratory of Environmental and Viral Oncology, Faculty of Chemistry and Life Sciences, Beijing University of Technology, Beijing, China.
Wensen CaoGuanghua Academy, Shanghai, China.
Xiuwei WangLaboratory of Translational Medicine, Beijing Municipal Key Laboratory of Child Development and Nutriomics, Capital Institute of Pediatrics, Beijing, China.
Zhiqiang ZhuLaboratory of Translational Medicine, Beijing Municipal Key Laboratory of Child Development and Nutriomics, Capital Institute of Pediatrics, Beijing, China.
Zhen GuanLaboratory of Translational Medicine, Beijing Municipal Key Laboratory of Child Development and Nutriomics, Capital Institute of Pediatrics, Beijing, China.
Aiyun YangLaboratory of Translational Medicine, Beijing Municipal Key Laboratory of Child Development and Nutriomics, Capital Institute of Pediatrics, Beijing, China.
Shen LiLaboratory of Translational Medicine, Beijing Municipal Key Laboratory of Child Development and Nutriomics, Capital Institute of Pediatrics, Beijing, China.
Xiaochun XuFenyang People's Hospital, Fenyang, Shanxi, China.
Caihua WangFenyang People's Hospital, Fenyang, Shanxi, China.
Jianhua WangLaboratory of Translational Medicine, Beijing Municipal Key Laboratory of Child Development and Nutriomics, Capital Institute of Pediatrics, Beijing, China.

Funding

Beijing Municipal Natural Science Foundation 7222016Beijing Municipal Natural Science Foundation 7244290National Natural Science Foundation of China U23A20420New Quality Fund of Capital Institute of Pediatrics XZDX-2025-018
6 · The paper itself

Abstract

introductionCongenital malformations of the nervous system, such as neural tube defects, are significant contributors to infant morbidity and mortality. This study aimed to assess the causal influence of gut microbiota on nervous system malformations and to identify immune cells as potential mediators in this relationship, utilizing a two-step Mendelian randomization (TSMR) approach.

methodsUsing genome-wide association studies data on gut microbiota, immune cells, and congenital malformations of the nervous system, we applied TSMR to evaluate the total, direct, and mediating effects. Gut microbiota indicators served as exposures, congenital malformations of the nervous system as outcomes, and immune cell markers as mediators. Statistical analyses included MR Egger, inverse variance weighted, and so forth.

resultsOur analysis identified 19 gut microbiota indicators causally associated with congenital malformations of the nervous system. Notably, Eubacteriaceae and Eubacterium genera exhibited protective effects, while Escherichia and Bacteroides genera showed positive correlations with malformation risk. Nine immune cell indicators significantly mediated these effects. For example, CD20

conclusionsThis study demonstrated a significant link between gut microbiota composition and congenital nervous system malformations, mediated by specific immune cells. These findings highlighted the potential for gut microbiota modulation and immune-targeted therapies as preventive or therapeutic strategies in reducing malformation risks. Future investigations should aim to replicate these results across diverse populations and further elucidate the underlying biological mechanisms of gut-immune-neural interactions.

trial registrationThe authors have nothing to report.

Indexed as

Gastrointestinal MicrobiomeNervous System MalformationsGenome-Wide Association StudyHumansMendelian Randomization Analysiscongenital malformationsgut microbiotaimmune cellsMendelian randomizationnervous systemneural tube defect

Identifiers

PMID41474150
PMCPMC12754823

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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.