Evidence map›Paper›PMID 41716284›Full record

ArticleFrontiers in microbiology2026

Integrated multi-omics analysis reveals the involvement of the gut-brain axis in children with autism.

Hongping Zhong, Shuyue Zhang, Zichao Mou, Xiaojing Fan, Xiayue Zhang, Lixia Wang, Xijia Xu, Xinxin Xue, Fan Yang, Jianbo Shu and 2 more

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2026. 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. 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

12 authors.

Hongping Zhong *Clinical School of Pediatrics, Tianjin Medical University, Tianjin, China.
Shuyue Zhang *Clinical School of Pediatrics, Tianjin Medical University, Tianjin, China.
Zichao Mou *Clinical School of Pediatrics, Tianjin Medical University, Tianjin, China.
Xiaojing Fan *Department of Neonatology, Affiliated Shenzhen Women and Children's Hospital (Longgang) of Shantou University Medical College (Longgang District Maternity and Child Healthcare Hospital of Shenzhen City), Shenzhen, Guangdong, China.
Xiayue ZhangClinical School of Pediatrics, Tianjin Medical University, Tianjin, China.
Lixia WangDepartment of Pediatrics, Yan'an University Affiliated Hospital, Yan'an, China.
Xijia XuDepartment of Pediatrics, Yan'an University Affiliated Hospital, Yan'an, China.
Xinxin XueDepartment of Pediatrics, Yan'an University Affiliated Hospital, Yan'an, China.
Fan YangDepartment of Pediatrics, Yan'an University Affiliated Hospital, Yan'an, China.
Jianbo ShuTianjin Children's Hospital (Children's Hospital of Tianjin University), Tianjin, China.
Mingbang WangDepartment of Neonatology, Affiliated Shenzhen Women and Children's Hospital (Longgang) of Shantou University Medical College (Longgang District Maternity and Child Healthcare Hospital of Shenzhen City), Shenzhen, Guangdong, China.
Chunquan CaiTianjin Children's Hospital (Children's Hospital of Tianjin University), Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Autism Spectrum Disorder (ASD) is frequently accompanied by gastrointestinal (GI) comorbidities and gut microbiota dysbiosis. While the microbiota-gut-brain axis is implicated in ASD pathophysiology, the upstream host genetic factors that drive these specific microbial alterations remain poorly characterized. Methods: To bridge this gap, we performed an integrated multi-omics analysis combining whole-exome sequencing, 16S rRNA gene sequencing, and plasma metabolomics in a cohort of children with ASD and typically developing controls. Results: We confirmed that children with ASD exhibit significant gut microbial dysbiosis and metabolic perturbations, which correlated with GI symptom severity. Crucially, rare variant enrichment analysis identified a significant accumulation of deleterious variants in mucin biosynthesis pathways (specifically the MUC gene family), which are essential for intestinal mucus barrier integrity. Multi-omics integration revealed that these host genetic defects were associated with distinct shifts in the gut ecosystem, notably the depletion of beneficial butyrate-producing bacteria (e.g., Faecalibacterium) and the expansion of mucin-degrading taxa. This structural dysbiosis translated into functional metabolic impairments, particularly in lipid transport and short-chain fatty acid metabolism, which tracked with ASD severity. Conclusion: Collectively, our data argue for a host-centric cascade where genetic vulnerabilities-specifically within the MUC pathway-compromise mucosal integrity, acting as a selective filter that fundamentally reshapes the gut microbiome. By pinpointing these variants as upstream drivers of gut-brain axis dysfunction, we move beyond simple association to identify concrete genetic targets-rare deleterious variants in the mucin (MUC) gene family-for future precision interventions in ASD.

Indexed as

16S rRNAautism spectrum disorder (ASD)gut-brain axismucin biosynthesismulti-omics

Identifiers

PMID41716284
PMCPMC12913364

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.