Document Details

Document Type : Thesis 
Document Title :
Analysis of Gut Microbiome for Patients with Parkinson’s Disease
تحليل الميكروبات المعوية لمرضى الباركنسون
 
Subject : Faculty of Science 
Document Language : Arabic 
Abstract : Parkinson's disease (PD) is among the most common neurodegenerative disease worldwide with global incidence of 10-50/year per 100,000 individuals, while a prevalence of 100-300/year. The number of people with Parkinson's disease is anticipated to quadruple by 2030 due to global population ageing. Alterations in gut microbiota composition in association to PD pathophysiology have been detected because of early gastrointestinal system involvement, which commonly precedes motor symptoms by years. The main purpose of the study is to detect the structure of gut microbiota for patients with PD (P) versus that of healthy controls (C) at baseline (A) and two years later (follow-up, B), taking into account their food, medications, and other clinical factors. We downloaded raw data of microbiota for 40 Parkinson's patients and 20 control subjects at both timepoints in order to evaluate disease progression based on changes in Unified Parkinson's Disease Rating Scale and Levodopa Equivalent Dose using 16S rRNA gene amplicon sequencing. After comparing patients to controls, we found substantial variations between their microbial communities, e.g., P versus C, but not between the two timepoints, e.g., A versus B. According to our research, changes in human microbiome appear to be a risk factor for Parkinson's disease. Nine genera of phylum Firmicutes (e.g., Faecalibacterium, Gemmiger, Oscillibacter, Blautia, Roseburia, Ruminococcus, Coprococcus, Eubacterium and Fusicatenibacter), three genera of phylum Bacteroidetes (e.g., Bacteroides, Alistipes and Prevotella), and one genus of phylum Actinobacteria (e.g., Bifidobacterium) are the most highly abundant among microbiomes of the four groups CA, CB, PA and PB. Several previously described bacterial taxa differed between patients and controls at both timepoints, including Roseburia, Prevotella, and Bifidobacterium. 
Supervisor : Prof. Dr. Ahmad Bahieldin Mohamed 
Thesis Type : Doctorate Thesis 
Publishing Year : 1444 AH
2023 AD
 
Co-Supervisor : Dr. Raed Saleh Albiheyri 
Added Date : Tuesday, March 7, 2023 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
امينه يوسف اللهيبيALLOHIBI, AMINAH YOUSUFResearcherDoctorate 

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