Multi-kingdom microbial changes and their associations with the clinical characteristics in schizophrenia patients
Rattachement africain : cn, us, mv, ca. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
Accumulating evidence has highlighted alterations in the gut microbiome in schizophrenia (SZ); however, the role of multi-kingdom microbiota in SZ remains inadequately understood. In this study, we performed metagenomic sequencing of fecal samples from 36 SZ patients and 55 healthy controls (HC) to profile bacterial, fungal, archaeal, and viral communities, along with functional pathways. We also conducted co-occurrence network analysis to explore the relationships among differential microbial species and metabolic pathways separately. Additionally, we assessed the associations of these differential species and functional pathways with clinical characteristics. Our findings revealed significant differences in species between SZ patients and HC, identifying not only 17 bacterial species, but also 8 fungal, 26 archaeal, and 19 viral species. Functional pathway analysis revealed 21 metabolic pathways significantly altered in SZ patients, including an increase in tryptophan metabolism, while biosynthesis of amino acids was decreased. Network analysis further uncovered more complex inter-kingdom interactions in SZ patients, with specific fungal species appearing exclusively in the SZ network. Importantly, significant associations were observed between microbial species and functional pathways with clinical characteristics, including symptom severity, cognitive function, and clinical biochemical marker. For instance, the abundance of Streptococcus vestibularis was positively correlated with homocysteine levels; the ubiquinone and other terpenoid-quinone biosynthesis was positively correlated with both symptom severity and C-reactive protein. Our findings reveal the intricate microbial dysbiosis present in SZ patients, suggesting multi-kingdom microbial interactions play a crucial role in SZ patients, highlighting promising avenues for potential diagnostic and therapeutic applications.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Multi-kingdom microbial changes and their associations with the clinical characteristics in schizophrenia patients
- Date Crossref
- 05/07/2025
- Éditeur
- Springer Science and Business Media LLC
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
-
South China University of Technology National Engineering Research Center for Tissue Restoration and Reconstruction pays non établi dans la noticeUniversité ou école supérieure
-
Guangzhou Medical University Department of Psychiatry pays non établi dans la noticeUniversité ou école supérieure
-
New Jersey Institute of Technology Department of Biomedical Engineering pays non établi dans la noticeUniversité ou école supérieure
-
First Affiliated Hospital of Guangzhou Medical University pays non établi dans la noticeÉtablissement de santé
-
Guangzhou Psychiatric Hospital pays non établi dans la noticeÉtablissement de santé
-
Ministry of Education pays non établi dans la noticeOrganisme public
-
Guangdong 999 Brain Hospital pays non établi dans la noticeÉtablissement de santé
-
Institute of Aging pays non établi dans la noticeStructure de recherche
-
School of Biomedical Sciences and Engineering pays non établi dans la noticeUniversité ou école supérieure
-
School of Material Science and Engineering pays non établi dans la noticeUniversité ou école supérieure
-
Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders pays non établi dans la noticeStructure de recherche
-
Tohoku University Department of Aging Research and Geriatric Medicine pays non établi dans la noticeUniversité ou école supérieure
National Engineering Research Center for Tissue Restoration and Reconstruction — South China University of Technology, Department of Psychiatry — Guangzhou Medical University et Department of Biomedical Engineering — New Jersey Institute of Technology, avec 9 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.