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High levels of Bifidobacteriaceae are associated with the pathogenesis of Parkinson’s disease

BACKGROUND: The diagnosis of Parkinson’s disease (PD) is complex and there are no biomarkers for early identification. Many studies have reported altered gut microbiota in patients with PD compared with healthy individuals. However, results from previous studies vary across countries. AIMS: The aim...

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Autores principales: Zuo, ShuJia, Wang, HaiJing, Zhao, Qiang, Tang, Jie, Wang, Min, Zhang, Yu, Sang, Ming, Tian, Jing, Wang, Puqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9846222/
https://www.ncbi.nlm.nih.gov/pubmed/36686268
http://dx.doi.org/10.3389/fnint.2022.1054627
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author Zuo, ShuJia
Wang, HaiJing
Zhao, Qiang
Tang, Jie
Wang, Min
Zhang, Yu
Sang, Ming
Tian, Jing
Wang, Puqing
author_facet Zuo, ShuJia
Wang, HaiJing
Zhao, Qiang
Tang, Jie
Wang, Min
Zhang, Yu
Sang, Ming
Tian, Jing
Wang, Puqing
author_sort Zuo, ShuJia
collection PubMed
description BACKGROUND: The diagnosis of Parkinson’s disease (PD) is complex and there are no biomarkers for early identification. Many studies have reported altered gut microbiota in patients with PD compared with healthy individuals. However, results from previous studies vary across countries. AIMS: The aim of this study was to identify gut microbiota biomarkers that could be used as a marker for the diagnosis of PD. METHODS: Firstly, the differential gut microbiota was obtained by meta-analysis, and then the results of meta-analysis were validated through metagenomic cohort. Finally, the ROC curve was drawn based on the metagenomic validation results. RESULTS: The meta-analysis showed a lower relative abundance of Prevotellaceae (p < 0.00001) and Lachnospiraceae (p = 0.002), and a higher of Ruminococcaceae (p < 0.00001), Christensenellaceae (p = 0.03), Bifidobacteriaceae (p < 0.00001), and Verrucomicrobiaceae (p = 0.23) in patients with PD. Only Bifidobacteriaceae was also at high levels in the validation cohort of the metagenome. Meanwhile, three species from the Bifidobacteriaceae, including Scardovia_inopinata (p = 0.022), Bifidobacterium_dentium (p = 0.005), and Scardovia_wiggsiae (p = 0.024) were also high. The ROC curve showed that the three species (71.2%) from Bifidobacteriaceae had good predictive efficiency for PD. CONCLUSION: Elevated Bifidobacteriaceae may be associated with PD. Elevated three species from the Bifidobacteriaceae, including Scardovia_inopinata, Bifidobacterium_dentium and Scardovia_wiggsiae may provide new potential biomarkers for the diagnosis of PD.
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spelling pubmed-98462222023-01-19 High levels of Bifidobacteriaceae are associated with the pathogenesis of Parkinson’s disease Zuo, ShuJia Wang, HaiJing Zhao, Qiang Tang, Jie Wang, Min Zhang, Yu Sang, Ming Tian, Jing Wang, Puqing Front Integr Neurosci Integrative Neuroscience BACKGROUND: The diagnosis of Parkinson’s disease (PD) is complex and there are no biomarkers for early identification. Many studies have reported altered gut microbiota in patients with PD compared with healthy individuals. However, results from previous studies vary across countries. AIMS: The aim of this study was to identify gut microbiota biomarkers that could be used as a marker for the diagnosis of PD. METHODS: Firstly, the differential gut microbiota was obtained by meta-analysis, and then the results of meta-analysis were validated through metagenomic cohort. Finally, the ROC curve was drawn based on the metagenomic validation results. RESULTS: The meta-analysis showed a lower relative abundance of Prevotellaceae (p < 0.00001) and Lachnospiraceae (p = 0.002), and a higher of Ruminococcaceae (p < 0.00001), Christensenellaceae (p = 0.03), Bifidobacteriaceae (p < 0.00001), and Verrucomicrobiaceae (p = 0.23) in patients with PD. Only Bifidobacteriaceae was also at high levels in the validation cohort of the metagenome. Meanwhile, three species from the Bifidobacteriaceae, including Scardovia_inopinata (p = 0.022), Bifidobacterium_dentium (p = 0.005), and Scardovia_wiggsiae (p = 0.024) were also high. The ROC curve showed that the three species (71.2%) from Bifidobacteriaceae had good predictive efficiency for PD. CONCLUSION: Elevated Bifidobacteriaceae may be associated with PD. Elevated three species from the Bifidobacteriaceae, including Scardovia_inopinata, Bifidobacterium_dentium and Scardovia_wiggsiae may provide new potential biomarkers for the diagnosis of PD. Frontiers Media S.A. 2023-01-04 /pmc/articles/PMC9846222/ /pubmed/36686268 http://dx.doi.org/10.3389/fnint.2022.1054627 Text en Copyright © 2023 Zuo, Wang, Zhao, Tang, Wang, Zhang, Sang, Tian and Wang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Integrative Neuroscience
Zuo, ShuJia
Wang, HaiJing
Zhao, Qiang
Tang, Jie
Wang, Min
Zhang, Yu
Sang, Ming
Tian, Jing
Wang, Puqing
High levels of Bifidobacteriaceae are associated with the pathogenesis of Parkinson’s disease
title High levels of Bifidobacteriaceae are associated with the pathogenesis of Parkinson’s disease
title_full High levels of Bifidobacteriaceae are associated with the pathogenesis of Parkinson’s disease
title_fullStr High levels of Bifidobacteriaceae are associated with the pathogenesis of Parkinson’s disease
title_full_unstemmed High levels of Bifidobacteriaceae are associated with the pathogenesis of Parkinson’s disease
title_short High levels of Bifidobacteriaceae are associated with the pathogenesis of Parkinson’s disease
title_sort high levels of bifidobacteriaceae are associated with the pathogenesis of parkinson’s disease
topic Integrative Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9846222/
https://www.ncbi.nlm.nih.gov/pubmed/36686268
http://dx.doi.org/10.3389/fnint.2022.1054627
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