{"title":"Altered oral health and microbiota in drug-free patients with schizophrenia.","authors":"Huawei Huang, Naiyan Yang, Mian-Mian Chen, Xiaoting Chen, Wei Chen, Xiaoping Li, Yuchun Chen, Zhengang Deng, Wenbing Zhou, Shu-Xian Xu, Xin-Hui Xie","doi":"10.1186/s12888-025-06633-6","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The oral microbiota is associated with neuro-psychiatric disorders. However, there is presently inadequate comprehension regarding the correlation between schizophrenia and the oral microbiota. Moreover, patients with schizophrenia frequently exhibit poor oral health, potentially influencing research outcomes. Therefore, this study aims to investigate changes in the oral microbiota and oral health status in drug-free schizophrenia patients.</p><p><strong>Methods: </strong>Oral microbiota samples were collected from 50 drug-free patients with schizophrenia and 50 healthy controls (HCs). The downstream microbiota analysis was based on Illumina sequencing of the V3-V4 hypervariable region of the 16 S rRNA gene.</p><p><strong>Results: </strong>The alpha diversity of SCZ group is increased, such as the Shannon index (p < 0.001) and Simpson index (p = 0.004), while the community structure also displays variance compared to the HC group (p < 0.001). Key discriminative taxa were found in LEfSe analysis, including the phyla Fusobacteriota, Firmicutes, and Actinobacteriota. The differential taxa and microbial functions showed a strong correlation with clinical oral conditions. Further analysis demonstrated that models based on the entire oral microbiota effectively distinguished SCZ patients from HC (AUC = 0.97).</p><p><strong>Conclusions: </strong>The significant changes in the microbiota of Drug-free SCZ patients appear to be closely associated with the poor oral environment.</p>","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":"25 1","pages":"274"},"PeriodicalIF":3.4000,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11938765/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Psychiatry","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12888-025-06633-6","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PSYCHIATRY","Score":null,"Total":0}
引用次数: 0
Abstract
Background: The oral microbiota is associated with neuro-psychiatric disorders. However, there is presently inadequate comprehension regarding the correlation between schizophrenia and the oral microbiota. Moreover, patients with schizophrenia frequently exhibit poor oral health, potentially influencing research outcomes. Therefore, this study aims to investigate changes in the oral microbiota and oral health status in drug-free schizophrenia patients.
Methods: Oral microbiota samples were collected from 50 drug-free patients with schizophrenia and 50 healthy controls (HCs). The downstream microbiota analysis was based on Illumina sequencing of the V3-V4 hypervariable region of the 16 S rRNA gene.
Results: The alpha diversity of SCZ group is increased, such as the Shannon index (p < 0.001) and Simpson index (p = 0.004), while the community structure also displays variance compared to the HC group (p < 0.001). Key discriminative taxa were found in LEfSe analysis, including the phyla Fusobacteriota, Firmicutes, and Actinobacteriota. The differential taxa and microbial functions showed a strong correlation with clinical oral conditions. Further analysis demonstrated that models based on the entire oral microbiota effectively distinguished SCZ patients from HC (AUC = 0.97).
Conclusions: The significant changes in the microbiota of Drug-free SCZ patients appear to be closely associated with the poor oral environment.
期刊介绍:
BMC Psychiatry is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of psychiatric disorders, as well as related molecular genetics, pathophysiology, and epidemiology.