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 |
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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 |
format | Article |
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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.</description><identifier>ISSN: 1351-5101</identifier><identifier>EISSN: 1468-1331</identifier><identifier>DOI: 10.1111/ene.15671</identifier><identifier>PMID: 36593694</identifier><language>eng</language><publisher>England: John Wiley & Sons, Inc</publisher><subject>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</subject><ispartof>European journal of neurology, 2023-11, Vol.30 (11), p.3581-3594</ispartof><rights>2023 The Authors. European Journal of Neurology published by John Wiley & Sons Ltd on behalf of European Academy of Neurology.</rights><rights>2023. This article is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c348t-4d9870746e0353dfefb0f04e98d270382f55af63ae40c383b34f67f962a98cc23</citedby><cites>FETCH-LOGICAL-c348t-4d9870746e0353dfefb0f04e98d270382f55af63ae40c383b34f67f962a98cc23</cites><orcidid>0000-0002-7661-6931 ; 0000-0003-2916-7018 ; 0000-0001-9502-7131 ; 0000-0002-4233-0839</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,781,785,27928,27929</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36593694$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kleine Bardenhorst, Sven</creatorcontrib><creatorcontrib>Cereda, Emanuele</creatorcontrib><creatorcontrib>Severgnini, Marco</creatorcontrib><creatorcontrib>Barichella, Michela</creatorcontrib><creatorcontrib>Pezzoli, Gianni</creatorcontrib><creatorcontrib>Keshavarzian, Ali</creatorcontrib><creatorcontrib>Desideri, Alessandro</creatorcontrib><creatorcontrib>Pietrucci, Daniele</creatorcontrib><creatorcontrib>Aho, Velma T E</creatorcontrib><creatorcontrib>Scheperjans, Filip</creatorcontrib><creatorcontrib>Hildebrand, Falk</creatorcontrib><creatorcontrib>Weis, Severin</creatorcontrib><creatorcontrib>Egert, Markus</creatorcontrib><creatorcontrib>Karch, André</creatorcontrib><creatorcontrib>Vital, Marius</creatorcontrib><creatorcontrib>Rübsamen, Nicole</creatorcontrib><title>Gut microbiota dysbiosis in Parkinson disease: A systematic review and pooled analysis</title><title>European journal of neurology</title><addtitle>Eur J Neurol</addtitle><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.</description><subject>Akkermansia</subject><subject>Bayesian analysis</subject><subject>Bioinformatics</subject><subject>Digestive system</subject><subject>Dysbacteriosis</subject><subject>Enteric nervous system</subject><subject>Gastrointestinal tract</subject><subject>Heterogeneity</subject><subject>Intestinal microflora</subject><subject>Membrane permeability</subject><subject>Meta-analysis</subject><subject>Metabolites</subject><subject>Microbiomes</subject><subject>Microbiota</subject><subject>Microorganisms</subject><subject>Movement disorders</subject><subject>Nervous system</subject><subject>Neurodegenerative diseases</subject><subject>Parkinson's disease</subject><subject>Pathogenesis</subject><subject>Statistical analysis</subject><subject>Statistical methods</subject><subject>Statistics</subject><subject>Systematic review</subject><subject>Taxa</subject><subject>Workflow</subject><issn>1351-5101</issn><issn>1468-1331</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNpdkE1LAzEQhoMotlYP_gEJeNHD1mSTTbLeStEqFPSgXpd0M4HU_ajJrrL_3tRWDw4D8x6eGYYHoXNKpjTWDTQwpZmQ9ACNKRcqoYzRw5hZRpOMEjpCJyGsCSGpTMkxGjGR5UzkfIzeFn2Ha1f6duXaTmMzhBiCC9g1-Fn7d9eEtsHGBdABbvEMhyF0UOvOldjDp4MvrBuDN21bgYlRV0PcPkVHVlcBzvZzgl7v717mD8nyafE4ny2TknHVJdzkShLJBRCWMWPBroglHHJlUkmYSm2WaSuYBk5KptiKcSukzUWqc1WWKZugq93djW8_eghdUbtQQlXpBto-FKkUJOO5Iiqil__Qddv7-G-klBRy2yxS1zsqGgnBgy023tXaDwUlxVZ2EWUXP7Ije7G_2K9qMH_kr132DThNeU8</recordid><startdate>20231101</startdate><enddate>20231101</enddate><creator>Kleine Bardenhorst, Sven</creator><creator>Cereda, Emanuele</creator><creator>Severgnini, Marco</creator><creator>Barichella, Michela</creator><creator>Pezzoli, Gianni</creator><creator>Keshavarzian, Ali</creator><creator>Desideri, Alessandro</creator><creator>Pietrucci, Daniele</creator><creator>Aho, Velma T E</creator><creator>Scheperjans, Filip</creator><creator>Hildebrand, Falk</creator><creator>Weis, Severin</creator><creator>Egert, Markus</creator><creator>Karch, André</creator><creator>Vital, Marius</creator><creator>Rübsamen, Nicole</creator><general>John Wiley & Sons, Inc</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TK</scope><scope>7U7</scope><scope>C1K</scope><scope>K9.</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-7661-6931</orcidid><orcidid>https://orcid.org/0000-0003-2916-7018</orcidid><orcidid>https://orcid.org/0000-0001-9502-7131</orcidid><orcidid>https://orcid.org/0000-0002-4233-0839</orcidid></search><sort><creationdate>20231101</creationdate><title>Gut microbiota dysbiosis in Parkinson disease: A systematic review and pooled analysis</title><author>Kleine Bardenhorst, Sven ; 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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.</abstract><cop>England</cop><pub>John Wiley & Sons, Inc</pub><pmid>36593694</pmid><doi>10.1111/ene.15671</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0002-7661-6931</orcidid><orcidid>https://orcid.org/0000-0003-2916-7018</orcidid><orcidid>https://orcid.org/0000-0001-9502-7131</orcidid><orcidid>https://orcid.org/0000-0002-4233-0839</orcidid><oa>free_for_read</oa></addata></record> |
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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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