Microbiome-driven precision psychiatry: integrating multi-omics, artificial intelligence, and personalized interventions along the gut-brain axis
4 affiliations
- 1General Practice Department, The Second People's Hospital of Changde City , ,
- 2Department of General Practice, The First Affiliated Hospital of Changde Vocational and Technical College , ,
- 3Medical Affairs Department, The Second People's Hospital of Changde City , ,
- 4Department of General Medicine, Xiangya Hospital, Central South University , ,
Abstract
Introduction
This scoping review maps evidence for microbiome-driven precision psychiatry in depression and anxiety.Methods
Following JBI guidance and PRISMA-ScR, we searched PubMed/MEDLINE and PubMed Central from inception to July 2026, supplemented by Google Scholar and backward citation searching. Human primary studies were screened and charted; findings were synthesized narratively.Results
Of 58 identified records, 49 remained after deduplication, 35 full texts were assessed, and 28 studies were included. The evidence was predominantly observational. Taxonomic findings varied across populations, while studies of microbial functions, metabolites, multi-omics signatures, and treatment response suggested potential for biological stratification. Microbiome-targeted interventions and artificial intelligence models remain exploratory.Discussion
Microbiome-derived biomarkers and predictive models require standardized methods, independent validation, and prospective evidence of clinical utility before routine psychiatric use.
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BibTeX
@article{zhang2026microbiomedriven,
title = {{Microbiome-driven precision psychiatry: integrating multi-omics, artificial intelligence, and personalized interventions along the gut-brain axis}},
author = {Yi Zhang and Changyong Pei and Daohua Zhang and Jun Liu},
journal = {Frontiers in medicine},
year = {2026},
month = oct,
doi = {10.3389/fmed.2026.1957715},
url = {https://europepmc.org/article/PMC/PMC13716581},
note = {CC BY},
}
RIS
TY - JOUR
TI - Microbiome-driven precision psychiatry: integrating multi-omics, artificial intelligence, and personalized interventions along the gut-brain axis
AU - Yi Zhang
AU - Changyong Pei
AU - Daohua Zhang
AU - Jun Liu
PY - 2026
DA - 2026/10/15
JO - Frontiers in medicine
DO - 10.3389/fmed.2026.1957715
UR - https://europepmc.org/article/PMC/PMC13716581
AB - Introduction This scoping review maps evidence for microbiome-driven precision psychiatry in depression and anxiety.Methods Following JBI guidance and PRISMA-ScR, we searched PubMed/MEDLINE and PubMed Central from inception to July 2026, supplemented by Google Scholar and backward citation searching. Human primary studies were screened and charted; findings were synthesized narratively.Results Of 58 identified records, 49 remained after deduplication, 35 full texts were assessed, and 28 studies were included. The evidence was predominantly observational. Taxonomic findings varied across populations, while studies of microbial functions, metabolites, multi-omics signatures, and treatment response suggested potential for biological stratification. Microbiome-targeted interventions and artificial intelligence models remain exploratory.Discussion Microbiome-derived biomarkers and predictive models require standardized methods, independent validation, and prospective evidence of clinical utility before routine psychiatric use.
SN - 2296-858X
ER -