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Short chain fatty acids-producing and mucin-degrading intestinal bacteria predict the progression of early Parkinson’s disease

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-base...

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Autores principales: Nishiwaki, Hiroshi, Ito, Mikako, Hamaguchi, Tomonari, Maeda, Tetsuya, Kashihara, Kenichi, Tsuboi, Yoshio, Ueyama, Jun, Yoshida, Takumi, Hanada, Hiroyuki, Takeuchi, Ichiro, Katsuno, Masahisa, Hirayama, Masaaki, Ohno, Kinji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9160257/
https://www.ncbi.nlm.nih.gov/pubmed/35650236
http://dx.doi.org/10.1038/s41531-022-00328-5
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author Nishiwaki, Hiroshi
Ito, Mikako
Hamaguchi, Tomonari
Maeda, Tetsuya
Kashihara, Kenichi
Tsuboi, Yoshio
Ueyama, Jun
Yoshida, Takumi
Hanada, Hiroyuki
Takeuchi, Ichiro
Katsuno, Masahisa
Hirayama, Masaaki
Ohno, Kinji
author_facet Nishiwaki, Hiroshi
Ito, Mikako
Hamaguchi, Tomonari
Maeda, Tetsuya
Kashihara, Kenichi
Tsuboi, Yoshio
Ueyama, Jun
Yoshida, Takumi
Hanada, Hiroyuki
Takeuchi, Ichiro
Katsuno, Masahisa
Hirayama, Masaaki
Ohno, Kinji
author_sort Nishiwaki, Hiroshi
collection PubMed
description 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.
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spelling pubmed-91602572022-06-03 Short chain fatty acids-producing and mucin-degrading intestinal bacteria predict the progression of early Parkinson’s disease Nishiwaki, Hiroshi Ito, Mikako Hamaguchi, Tomonari Maeda, Tetsuya Kashihara, Kenichi Tsuboi, Yoshio Ueyama, Jun Yoshida, Takumi Hanada, Hiroyuki Takeuchi, Ichiro Katsuno, Masahisa Hirayama, Masaaki Ohno, Kinji NPJ Parkinsons Dis Article 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. Nature Publishing Group UK 2022-06-01 /pmc/articles/PMC9160257/ /pubmed/35650236 http://dx.doi.org/10.1038/s41531-022-00328-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Nishiwaki, Hiroshi
Ito, Mikako
Hamaguchi, Tomonari
Maeda, Tetsuya
Kashihara, Kenichi
Tsuboi, Yoshio
Ueyama, Jun
Yoshida, Takumi
Hanada, Hiroyuki
Takeuchi, Ichiro
Katsuno, Masahisa
Hirayama, Masaaki
Ohno, Kinji
Short chain fatty acids-producing and mucin-degrading intestinal bacteria predict the progression of early Parkinson’s disease
title Short chain fatty acids-producing and mucin-degrading intestinal bacteria predict the progression of early Parkinson’s disease
title_full Short chain fatty acids-producing and mucin-degrading intestinal bacteria predict the progression of early Parkinson’s disease
title_fullStr Short chain fatty acids-producing and mucin-degrading intestinal bacteria predict the progression of early Parkinson’s disease
title_full_unstemmed Short chain fatty acids-producing and mucin-degrading intestinal bacteria predict the progression of early Parkinson’s disease
title_short Short chain fatty acids-producing and mucin-degrading intestinal bacteria predict the progression of early Parkinson’s disease
title_sort short chain fatty acids-producing and mucin-degrading intestinal bacteria predict the progression of early parkinson’s disease
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9160257/
https://www.ncbi.nlm.nih.gov/pubmed/35650236
http://dx.doi.org/10.1038/s41531-022-00328-5
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