Short chain fatty acids-producing and mucin-degrading intestinal bacteria predict the progression of early Parkinson’s disease
Year: 2022
Type: article
Study design: Observational Study
Abstract: To elucidate the relevance of gut dysbiosis in Parkinson's disease (PD) in disease progression, we made random forest models to predict the progression of PD in two years by gut microbiota in 165 PD patients. The area under the receiver operating characteristic curves (AUROCs) of gut microbiota-based models for Hoehn & Yahr (HY) stages 1 and 2 were 0.799 and 0.705, respectively. Similarly, gut microbiota predicted the progression of Movement Disorder Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS) III scores in an early stage of PD with AUROC = 0.728. Decreases of short-chain fatty acid-producing genera, Fusicatenibacter, Faecalibacterium, and Blautia, as well as an increase of mucin-degrading genus Akkermansia, predicted accelerated disease progression. The four genera remained unchanged in two years in PD, indicating that the taxonomic changes were not the consequences of disease progression. PD patients with marked gut dysbiosis may thus be destined to progress faster than those without gut dysbiosis.
Source: npj Parkinson s Disease
Language: English
Topic: Gut microbiota and health
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $3,190
Awards: 希少難治性筋疾患に関する調査研究, G2305367001, パーキンソン病の起因となる腸管α-synuclein異常蓄積に対する腸内細菌叢の関与の解明, G4279110144, G4366461168, G4630459035, G5314578647, G5571889628, G5722282728, G575744216, Pathological analysis of limb girdle congenital myasthenia and development of new therapy, G6810088145, G7577670863, Elucidating the Role of Gut Microbiota in the Pathogenesis of Parkinson's Disease, Multi-layered study from the perspective of brain-immune system interactions to elucidate the pathophysiology of mental disorders., G8280746299, G8635323173, Prognostic Prediction of Parkinson's Disease Using Machine Learning Based on Gut Microbiota, G8821316795
OpenAlex ID: W4281748741
