A risk estimation method for depression based on the dysbiosis of intestinal microbiota in Japanese patients.
depression
dysbiosis
intestinal microbiota
risk estimation
structural equation modeling
Journal
Frontiers in psychiatry
ISSN: 1664-0640
Titre abrégé: Front Psychiatry
Pays: Switzerland
ID NLM: 101545006
Informations de publication
Date de publication:
2024
2024
Historique:
received:
05
02
2024
accepted:
06
05
2024
medline:
12
6
2024
pubmed:
12
6
2024
entrez:
12
6
2024
Statut:
epublish
Résumé
Early detection of depression is important for preventing depression-related suicides and reducing the risk of recurrence. This study explored the association between depression and intestinal microbiota and developed a depression risk-estimation method based on this. The intestinal microbiota of Japanese patients with depression (33 males and 35 females) and disease-free controls (246 males and 384 females) in their 20's to 60's were compared by sex using 16S rRNA gene amplicon sequencing. A depression-risk estimation method was developed using structural equation modeling. Intestinal bacteria taxa that differed between depression and control groups were identified based on effect size (absolute value greater than 0.2). This study provides insights into depression etiology and aids in its early detection and treatment.
Identifiants
pubmed: 38863614
doi: 10.3389/fpsyt.2024.1382175
pmc: PMC11165696
doi:
Types de publication
Journal Article
Langues
eng
Pagination
1382175Informations de copyright
Copyright © 2024 Okuma, Hatayama, Tokuno, Ebara, Odachi, Masuyama, Hoshiko and Tanaka.
Déclaration de conflit d'intérêts
HM is the President of Symbiosis Solutions Inc. Tokyo, Japan. KO, KH, HT, AE, and AO are employees of Symbiosis Solutions Inc. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The authors declare that this study received funding from Japan Tobacco Inc. The funder had the following involvement in the study: study design.