Oral Microbiota and Porphyromonas gingivalis Kgp Genotypes Altered in Parkinson’s Disease with Mild Cognitive Impairment

Dongcheng Li, Tengzhu Ren,Hao Li, Mingdi Huang, Jiaxin Chen, Qishan He, Wei Lv,Hailing Liu,Renshi Xu,Xiong Zhang

Molecular Neurobiology(2024)

引用 0|浏览0
暂无评分
摘要
Cognitive impairment (CI) is a common complication of the non-motor symptoms in Parkinson’s disease (PD), including PD with mild cognitive impairment (PD-MCI) and PD dementia. Recent studies reported the oral dysbiosis in PD and CI, respectively. Porphyromonas gingivalis (P. gingivalis), a pathogen of oral dysbiosis, plays an important role in PD, whose lysine-gingipain (Kgp) could lead to AD-type pathologies. No previous study investigated the composition of oral microbiota and role of P. gingivalis in PD-MCI. This study aimed to investigate the differences of oral microbiota composition, P. gingivalis copy number, and Kgp genotypes among PD-MCI, PD with normal cognition (PD-NC) and periodontal status-matched control (PC) groups. The oral bacteria composition, the copy number of P. gingivalis, and the Kgp genotypes in gingival crevicular fluid from PD-MCI, PD-NC, and PC were analyzed using 16S ribosomal RNA sequencing, quantitative real-time PCR, and MseI restriction. We found that the structures of oral microbiota in PD-MCI group were significantly different compared to that in PD-NC and PC group. The relative abundances of Prevotella, Lactobacillus, Megasphaera, Atopobium, and Howardella were negatively correlated with cognitive score. Moreover, there was a significant difference of Kgp genotypes among the three groups. The predominant Kgp genotypes of P. gingivalis in the PD-MCI group were primarily Kgp II, whereas in the PD-NC group, it was mainly Kgp I. The Kgp II correlated with lower MMSE and MoCA scores, which suggested that Kgp genotypes II is related to cognitive impairment in PD.
更多
查看译文
关键词
Parkinson’s disease,Cognition impairment,Oral micro biome,High throughput sequencing,Porphyromonas gingivalis,Lysine-gingipain genotypes
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要