Evidence map›Paper›PMID 41421350›Full record

ArticleCell reports. Medicine2026

Integrative multi-omics reveals microbial genomic variants driving altered host-microbe interactions in autism spectrum disorder.

Wanning Chen, Xinjun Wang, Ruixin Zhu, Wenxing Gao, Liwen Tao, Rong Yang, Qing Wei, Yiming Zhang, Yujiao Gong, Hui Zhong and 11 more

Abstract read
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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

21 authors.

Wanning ChenShanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Clinical and Translation Research Center, Shanghai First Maternity and Infant Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200092, P.R. China; Institutes of Biomedical Sciences, School of Life Sciences, Inner Mongolia University, Hohhot 010070, P.R. China.
Xinjun WangSuzhou Key Laboratory of Gut Microecology, Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou 215000, P.R. China; School of Medicine, Tongji University, Shanghai 200092, P.R. China.
Ruixin ZhuShanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Clinical and Translation Research Center, Shanghai First Maternity and Infant Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200092, P.R. China. Electronic address: rxzhu@tongji.edu.cn.
Wenxing GaoState Key Laboratory of Genetic Engineering, Fudan Microbiome Center, School of Life Sciences, Fudan University, Shanghai 200438, P.R. China.
Liwen TaoShanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Clinical and Translation Research Center, Shanghai First Maternity and Infant Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200092, P.R. China.
Rong YangDepartment of Pediatrics, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, P.R. China.
Qing WeiDepartment of Pathology, Shanghai Tenth People's Hospital, Shanghai 200072, P.R. China.
Yiming ZhangDepartment of Stomatology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai 200092, P.R. China.
Yujiao GongDepartment of Pediatrics, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, P.R. China.
Hui ZhongSuzhou Key Laboratory of Gut Microecology, Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou 215000, P.R. China; School of Medicine, Tongji University, Shanghai 200092, P.R. China; Department of Pediatrics, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, P.R. China.
Linsheng HuangDepartment of Pediatrics, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, P.R. China.
Xinyue ZhuShanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Clinical and Translation Research Center, Shanghai First Maternity and Infant Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200092, P.R. China.
Yuwei YangShanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Clinical and Translation Research Center, Shanghai First Maternity and Infant Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200092, P.R. China.
Linjuan ZhangCenter for Brain Science, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, P.R. China.
Lin WanSenior Department of Pediatrics, Chinese PLA General Hospital, Beijing 100700, P.R. China.
Guang YangSenior Department of Pediatrics, Chinese PLA General Hospital, Beijing 100700, P.R. China.
Yan LiCenter for Brain Science, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, P.R. China.
Na JiaoState Key Laboratory of Genetic Engineering, Fudan Microbiome Center, School of Life Sciences, Fudan University, Shanghai 200438, P.R. China.
Jifeng WangDepartment of Pathology, Shanghai Tenth People's Hospital, Shanghai 200072, P.R. China; Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA. Electronic address: jifeng.wang@vumc.org.
Huanlong QinSuzhou Key Laboratory of Gut Microecology, Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou 215000, P.R. China; School of Medicine, Tongji University, Shanghai 200092, P.R. China. Electronic address: qinhuanlong@tongji.edu.cn.
Lixin ZhuInstitutes of Biomedical Sciences, School of Life Sciences, Inner Mongolia University, Hohhot 010070, P.R. China. Electronic address: lixinzhu@imu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emerging evidence links the gut microbiome to autism spectrum disorder (ASD), yet the role of microbial genomic variation remains underexplored. We generated a large-scale metagenomic and metabolomic dataset from over 1,100 children, integrating public datasets, to characterize ASD-associated microbial changes. We identified 35 species, 213 genes, 28 pathways, and 99 metabolites, alongside 1,369 single-nucleotide variants, 233 insertions/deletions, and 195 structural variants with differential abundance. Profiling of microbial genomic variation revealed 33 species and 196 enzymes lacking abundance differences, yet exhibiting significant sequence variation. Integrated analysis of microbial variants and metabolites uncovered 357 neurological associations, with mediation analysis showing that several metabolites link microbial variants to the ASD phenotype. Importantly, diagnostic models incorporating microbial variant and/or metabolite features achieved superior performance and generalizability. Our findings highlight microbial genomic variation as a critical, previously overlooked dimension of ASD-associated dysbiosis, offering valuable insights for diagnosis and mechanistic studies.

Indexed as

Autism Spectrum DisorderGastrointestinal MicrobiomeHost Microbial InteractionsChildDysbiosisFemaleGenetic VariationGenomicsHumansMaleMetabolomicsMetagenomicsMultiomicsPolymorphism, Single Nucleotideautism spectrum disordergenomic variantsmediation analysismetabolomicsmicrobiome

Identifiers

PMID41421350
PMCPMC12866134

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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.