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Updated: Nov 2, 2025

Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing
Published on: October 15, 2019
Gut Microbiota in Psychiatric Disorders: A Systematic Review
Long Long Chen1, Afrouz Abbaspour, George F Mkoma
1From the Department of Clinical Neuroscience, Centre for Psychiatry Research (Chen, Rück, Djurfeldt), Karolinska Institutet, & Stockholm Health Care Services, Stockholm, Sweden; Department of Medical Epidemiology and Biostatistics (Abbaspour, Mkoma, Bulik), Karolinska Institutet, Stockholm, Sweden; Department of Public Health, Section for Health Services Research (Mkoma), University of Copenhagen, Copenhagen, Denmark; Departments of Psychiatry and Nutrition (Bulik), University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Objective:
This systematic review sought to comprehensively summarize gut microbiota research in psychiatric disorders following PRISMA guidelines.
Methods:
Literature searches were performed on databases using keywords involving gut microbiota and psychiatric disorders. Articles in English with human participants up until February 13, 2020, were reviewed. Risk of bias was assessed using a modified Newcastle-Ottawa Scale for microbiota studies.
Results:
Sixty-nine of 4231 identified studies met the inclusion criteria for extraction. In most studies, gut microbiota composition differed between individuals with psychiatric disorders and healthy controls; however, limited consistency was observed in the taxonomic profiles. At the genus level, the most replicated findings were higher abundance of Bifidobacterium and lower abundance of Roseburia and Faecalibacterium among patients with psychiatric disorders.
Conclusions:
Gut bacteria that produce short-chain fatty acids, such as Roseburia and Faecalibacterium, could be less abundant in patients with psychiatric disorders, whereas commensal genera, for example, Bifidobacterium, might be more abundant compared with healthy controls. However, most included studies were hampered by methodological shortcomings including small sample size, unclear diagnostics, failure to address confounding factors, and inadequate bioinformatic processing, which might contribute to inconsistent results. Based on our findings, we provide recommendations to improve quality and comparability of future microbiota studies in psychiatry.
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