Gut microbiota dysbiosis in Parkinson disease: A systematic review and pooled analysis

The role of the gut microbiome in the pathogenesis of Parkinson disease (PD) is under intense investigation, and the results presented are still very heterogeneous. These discrepancies arise not only from the highly heterogeneous pathology of PD, but also from widely varying methodologies at all sta...

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Veröffentlicht in:European journal of neurology 2023-11, Vol.30 (11), p.3581-3594
Hauptverfasser: Kleine Bardenhorst, Sven, Cereda, Emanuele, Severgnini, Marco, Barichella, Michela, Pezzoli, Gianni, Keshavarzian, Ali, Desideri, Alessandro, Pietrucci, Daniele, Aho, Velma T E, Scheperjans, Filip, Hildebrand, Falk, Weis, Severin, Egert, Markus, Karch, André, Vital, Marius, Rübsamen, Nicole
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container_end_page 3594
container_issue 11
container_start_page 3581
container_title European journal of neurology
container_volume 30
creator Kleine Bardenhorst, Sven
Cereda, Emanuele
Severgnini, Marco
Barichella, Michela
Pezzoli, Gianni
Keshavarzian, Ali
Desideri, Alessandro
Pietrucci, Daniele
Aho, Velma T E
Scheperjans, Filip
Hildebrand, Falk
Weis, Severin
Egert, Markus
Karch, André
Vital, Marius
Rübsamen, Nicole
description The role of the gut microbiome in the pathogenesis of Parkinson disease (PD) is under intense investigation, and the results presented are still very heterogeneous. These discrepancies arise not only from the highly heterogeneous pathology of PD, but also from widely varying methodologies at all stages of the workflow, from sampling to final statistical analysis. The aim of the present work is to harmonize the workflow across studies to reduce the methodological heterogeneity and to perform a pooled analysis to account for other sources of heterogeneity. We performed a systematic review to identify studies comparing the gut microbiota of PD patients to healthy controls. A workflow was designed to harmonize processing across all studies from bioinformatics processing to final statistical analysis using a Bayesian random-effects meta-analysis based on individual patient-level data. The results show that harmonizing workflows minimizes differences between statistical methods and reveals only a small set of taxa being associated with the pathogenesis of PD. Increased shares of the genera Akkermansia and Bifidobacterium and decreased shares of the genera Roseburia and Faecalibacterium were most characteristic for PD-associated microbiota. Our study summarizes evidence that reduced levels of butyrate-producing taxa in combination with possible degradation of the mucus layer by Akkermansia may promote intestinal inflammation and reduced permeability of the gut mucosal layer. This may allow potentially pathogenic metabolites to transit and enter the enteric nervous system.
doi_str_mv 10.1111/ene.15671
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subjects Akkermansia
Bayesian analysis
Bioinformatics
Digestive system
Dysbacteriosis
Enteric nervous system
Gastrointestinal tract
Heterogeneity
Intestinal microflora
Membrane permeability
Meta-analysis
Metabolites
Microbiomes
Microbiota
Microorganisms
Movement disorders
Nervous system
Neurodegenerative diseases
Parkinson's disease
Pathogenesis
Statistical analysis
Statistical methods
Statistics
Systematic review
Taxa
Workflow
title Gut microbiota dysbiosis in Parkinson disease: A systematic review and pooled analysis
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