Evidence map›Paper›PMID 41806837›Full record

ArticleCell reports. Medicine2026

An integrative multi-omics approach identifies microbiome alterations linked to pathological and behavioral features in autism spectrum disorder.

Kai Mi, Miao Cao, Lingli Zhang, Qianlong Zhang, Wei Zhou, Chijun Deng, Yue Zhang, Qing Zhao, Yusen Wei, Xingyin Liu and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cell reports. Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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

11 authors.

Kai MiShenzhen People's Hospital (The First Affiliated Hospital at Southern University of Science and Technology), Department of Biochemistry, SUSTech Homeostatic Medicine Institute, School of Medicine, Southern University of Science and Technology, Shenzhen 518055, Guangdong, China.
Miao CaoInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai 200433, China; Department of Developmental and Behavioral Pediatric and Child Primary Care, Brain and Behavioral Research Unit of Shanghai Institute for Pediatric Research, and MOE-Shanghai Key Laboratory for Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.
Lingli ZhangDepartment of Developmental and Behavioral Pediatric and Child Primary Care, Brain and Behavioral Research Unit of Shanghai Institute for Pediatric Research, and MOE-Shanghai Key Laboratory for Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.
Qianlong ZhangDepartment of Developmental and Behavioral Pediatric and Child Primary Care, Brain and Behavioral Research Unit of Shanghai Institute for Pediatric Research, and MOE-Shanghai Key Laboratory for Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.
Wei ZhouDepartment of Developmental and Behavioral Pediatric and Child Primary Care, Brain and Behavioral Research Unit of Shanghai Institute for Pediatric Research, and MOE-Shanghai Key Laboratory for Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.
Chijun DengInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai 200433, China.
Yue ZhangInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai 200433, China.
Qing ZhaoShenzhen People's Hospital (The First Affiliated Hospital at Southern University of Science and Technology), Department of Biochemistry, SUSTech Homeostatic Medicine Institute, School of Medicine, Southern University of Science and Technology, Shenzhen 518055, Guangdong, China.
Yusen WeiShenzhen People's Hospital (The First Affiliated Hospital at Southern University of Science and Technology), Department of Biochemistry, SUSTech Homeostatic Medicine Institute, School of Medicine, Southern University of Science and Technology, Shenzhen 518055, Guangdong, China.
Xingyin LiuShenzhen People's Hospital (The First Affiliated Hospital at Southern University of Science and Technology), Department of Biochemistry, SUSTech Homeostatic Medicine Institute, School of Medicine, Southern University of Science and Technology, Shenzhen 518055, Guangdong, China. Electronic address: xingyinliu@hotmail.com.
Fei LiDepartment of Developmental and Behavioral Pediatric and Child Primary Care, Brain and Behavioral Research Unit of Shanghai Institute for Pediatric Research, and MOE-Shanghai Key Laboratory for Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China. Electronic address: feili@shsmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study employs a multi-omics approach to investigate the gut-brain axis in 326 children with autism spectrum disorder (ASD) and 169 typically developing (TD) controls, aged 0-10 years. By analyzing neuroimaging, gut microbiome, and plasma metabolome data, we find that microbial features could accurately distinguish ASD from TD children. A key finding is that gut microbial abundance, particularly an increase in Clostridioides difficile, serves as the strongest predictor of both ASD symptom severity and brain structural variations. Crucially, these gut and brain differences are age dependent, diminishing as children with ASD aged and converging toward TD patterns. A mediation model suggests a potential pathway where specific microbes influence brain structure and behavior via metabolites. The findings establish the gut microbiota as a robust predictor of brain and behavioral phenotypes in pediatric ASD, underscoring the necessity for early, age-stratified therapeutic strategies via modulating the composition of the gut microbiome.

Indexed as

Autism Spectrum DisorderGastrointestinal MicrobiomeBrainChildChild, PreschoolFemaleHumansInfantInfant, NewbornMaleMetabolomeMultiomicsautism spectrum disordergut microbiotametabolomemulti-omicsneuroimaging

Identifiers

PMID41806837
PMCPMC13006428

What OpenQuestion holds

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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 OpenQuestion graph.