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April 30, 2026Cell Reports Medicine2 citationsOpen Access

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

OWOscar WongZZZhijie ZhengMWMingbang Wang

Key Points

  • This review aims to explore the role of microbiome biomarkers in autism spectrum disorder and their potential for enhancing diagnosis and treatment.
  • Analyzed preclinical and clinical studies examining the gut microbiota's role in ASD via the microbiota-gut-brain axis.
  • Reviewed advancements in biomarker research from 16S rRNA sequencing to shotgun metagenomics and multi-omics integration.
  • Identified challenges in validating microbial signatures against clinical heterogeneity and comorbidities.
  • Microbial disturbances linked to neurodevelopmental impacts in ASD.
  • Emerging microbial signatures show potential for early diagnostic applications and risk prediction.
  • Proposed future research directions to improve diagnostic accuracy and clinical applicability.

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.

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Cite This Study

Wong et al. (2026) studied this question.

synapsesocial.com/papers/69f2f0e31e5f7920c6386e39https://doi.org/10.1016/j.xcrm.2026.102780
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