| Literature DB >> 29501802 |
Yiwei Qian1, Xiaodong Yang1, Shaoqing Xu1, Chunyan Wu2, Yanyan Song3, Nan Qin4, Sheng-Di Chen5, Qin Xiao6.
Abstract
Emerging evidences suggest that gut microbiota dysbiosis plays a role in Parkinson's disease (PD). However, the alterations in fecal microbiome in Chinese PD patients remains unknown. This case-control study was conducted to explore fecal microbiota compositions in Chinese PD patients. Microbiota communities in the feces of 45 patients and their healthy spouses were investigated using high-throughput Illumina Miseq sequencing targeting the V3-V4 region of 16S ribosomal RNA (rRNA) gene. The relationships between fecal microbiota and PD clinical characteristics were analyzed. The structure and richness of the fecal microbiota differed between PD patients and healthy controls. Genera Clostridium IV, Aquabacterium, Holdemania, Sphingomonas, Clostridium XVIII, Butyricicoccus and Anaerotruncus were enriched in the feces of PD patients after adjusting for age, gender, body mass index (BMI), and constipation. Furthermore, genera Escherichia/Shigella were negatively associated with disease duration. Genera Dorea and Phascolarctobacterium were negatively associated with levodopa equivalent doses (LED). Among the non-motor symptoms (NMSs), genera Butyricicoccus and Clostridium XlVb were associated with cognitive impairment. Overall, we confirmed that gut microbiota dysbiosis occurs in Chinese patients with PD. A well-controlled population involved was beneficial for the identification of microbiota associated with diseases. Additionally, the fecal microbiota was closely related to PD clinical characteristics. Elucidating these differences in the fecal microbiome will provide a foundation to improve our understanding the pathogenesis of PD and to support the potentially therapeutic options modifying the gut microbiota.Entities:
Keywords: 16S rRNA gene; Gut microbiota; Neurodegenerative disorder
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Year: 2018 PMID: 29501802 DOI: 10.1016/j.bbi.2018.02.016
Source DB: PubMed Journal: Brain Behav Immun ISSN: 0889-1591 Impact factor: 7.217