Huang Huawei, Yang Naiyan, Chen Mian-Mian, Chen Xiaoting, Chen Wei, Li Xiaoping, Chen Yuchun, Deng Zhengang, Zhou Wenbing, Xu Shu-Xian, Xie Xin-Hui
Department of Pharmacy, Second People's Hospital of Huizhou, Huizhou, China.
Department of Psychiatry, Second People's Hospital of Huizhou, Huizhou, China.
BMC Psychiatry. 2025 Mar 25;25(1):274. doi: 10.1186/s12888-025-06633-6.
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.
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.
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).
The significant changes in the microbiota of Drug-free SCZ patients appear to be closely associated with the poor oral environment.
口腔微生物群与神经精神疾病有关。然而,目前对于精神分裂症与口腔微生物群之间的相关性理解不足。此外,精神分裂症患者经常表现出口腔健康状况不佳,这可能会影响研究结果。因此,本研究旨在调查未服用药物的精神分裂症患者口腔微生物群和口腔健康状况的变化。
从50名未服用药物的精神分裂症患者和50名健康对照者(HCs)中收集口腔微生物群样本。下游微生物群分析基于对16S rRNA基因V3-V4高变区的Illumina测序。
SCZ组的α多样性增加,如香农指数(p < 0.001)和辛普森指数(p = 0.004),而与HC组相比,群落结构也表现出差异(p < 0.001)。在LEfSe分析中发现了关键的判别分类群,包括梭杆菌门、厚壁菌门和放线菌门。差异分类群和微生物功能与临床口腔状况密切相关。进一步分析表明,基于整个口腔微生物群的模型能够有效区分SCZ患者和HC(AUC = 0.97)。
未服用药物的SCZ患者微生物群的显著变化似乎与不良的口腔环境密切相关。