Evidence map›Paper›PMID 42049031›Full record

ReviewCell reports. Medicine2026

Microbiome biomarkers in autism spectrum disorder: Toward prediction, diagnosis, and prognosis.

Oscar Wong, Zhijie Zheng, Mingbang Wang, Aihua Cao, Francis K L Chan, Siew C Ng, Qi Su

Abstract readReview
In one paragraph

Review 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 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.

Oscar WongDepartment of Psychiatry, The Chinese University of Hong Kong, Hong Kong SAR, China; The D.H. Chen Foundation Hub of Advanced Technology for Child Health (HATCH), The Chinese University of Hong Kong, Hong Kong SAR, China.
Zhijie ZhengMicrobiota I-Center (MagIC), Hong Kong SAR, China; Department of Medicine and Therapeutics, State Key Laboratory of Digestive Diseases, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China.
Mingbang WangDepartment of Neonatology, Affiliated Shenzhen Women and Children's Hospital (Longgang) of Shantou University Medical College (Longgang District Maternity & Child Healthcare Hospital of Shenzhen City), Shenzhen, Guangdong, China.
Aihua CaoQilu Hospital, Shandong University, Jinan, Shandong, China.
Francis K L ChanMicrobiota I-Center (MagIC), Hong Kong SAR, China; Department of Medicine and Therapeutics, State Key Laboratory of Digestive Diseases, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China; Centre for Gut Microbiota Research, The Chinese University of Hong Kong, Hong Kong SAR, China; Li Ka Shing Institute of Health Sciences, State Key Laboratory of Digestive Disease, Institute of Digestive Disease, The Chinese University of Hong Kong, Hong Kong SAR, China.
Siew C NgMicrobiota I-Center (MagIC), Hong Kong SAR, China; Department of Medicine and Therapeutics, State Key Laboratory of Digestive Diseases, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China; New Cornerstone Science Laboratory, The Chinese University of Hong Kong, Hong Kong SAR, China. Electronic address: siewchienng@cuhk.edu.hk.
Qi SuMicrobiota I-Center (MagIC), Hong Kong SAR, China; Department of Medicine and Therapeutics, State Key Laboratory of Digestive Diseases, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China. Electronic address: qisu@cuhk.edu.hk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autism spectrum disorder (ASD) is a heterogeneous condition that lacks objective diagnostic biomarkers, often resulting in delayed intervention. Evidence increasingly links gut microbiota dysregulation to ASD pathophysiology via the microbiota-gut-brain axis, suggesting plausible translational applications. This review outlines mechanistic insights from preclinical and clinical studies to illustrate how microbial disturbances affect neurodevelopment. It examines the evolution of biomarker research from early 16S rRNA sequencing to advanced shotgun metagenomics incorporating functional integration, multi-omics, and genomic variants. Such advancements enhance diagnostic accuracy and generalizability. Although clinical causal evidence remains indirect, these microbial signatures show potential for early diagnosis, presymptomatic risk prediction, and tailored therapies. Key challenges include prospective validation in diverse cohorts, specificity testing against comorbidities, and addressing clinical heterogeneity. By summarizing methodological gaps and providing future guidance, this review aims to bridge mechanistic research and clinical practice to improve outcomes across the spectrum.

Indexed as

Autism Spectrum DisorderBiomarkersGastrointestinal MicrobiomeMicrobiotaAnimalsHumansPrognosisRNA, Ribosomal, 16SBiomarkersRNA, Ribosomal, 16S

Identifiers

PMID42049031
PMCPMC13198306

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.