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Changes in the Gut Microbiome and Predicted Functional Metabolic Effects in an Australian Parkinson’s Disease Cohort

Background: There has been increasing recognition of the importance of the gut microbiome in Parkinson’s disease (PD), but the influence of geographic location has received little attention. The present study characterized the gut microbiota and associated changes in host metabolic pathways in an Au...

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Autores principales: Kenna, Jade E., Chua, Eng Guan, Bakeberg, Megan, Tay, Alfred, McGregor, Sarah, Gorecki, Anastazja, Horne, Malcolm, Marshall, Barry, Mastaglia, Frank L., Anderton, Ryan S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8588830/
https://www.ncbi.nlm.nih.gov/pubmed/34776854
http://dx.doi.org/10.3389/fnins.2021.756951
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author Kenna, Jade E.
Chua, Eng Guan
Bakeberg, Megan
Tay, Alfred
McGregor, Sarah
Gorecki, Anastazja
Horne, Malcolm
Marshall, Barry
Mastaglia, Frank L.
Anderton, Ryan S.
author_facet Kenna, Jade E.
Chua, Eng Guan
Bakeberg, Megan
Tay, Alfred
McGregor, Sarah
Gorecki, Anastazja
Horne, Malcolm
Marshall, Barry
Mastaglia, Frank L.
Anderton, Ryan S.
author_sort Kenna, Jade E.
collection PubMed
description Background: There has been increasing recognition of the importance of the gut microbiome in Parkinson’s disease (PD), but the influence of geographic location has received little attention. The present study characterized the gut microbiota and associated changes in host metabolic pathways in an Australian cohort of people with PD (PwP). Methods: The study involved recruitment and assessment of 87 PwP from multiple Movement Disorders Clinics in Australia and 47 healthy controls. Illumina sequencing of the V3 and V4 regions of the 16S rRNA gene was used to distinguish inter-cohort differences in gut microbiota; KEGG analysis was subsequently performed to predict functional changes in host metabolic pathways. Results: The current findings identified significant differences in relative abundance and diversity of microbial operational taxonomic units (OTUs), and specific bacterial taxa between PwP and control groups. Alpha diversity was significantly reduced in PwP when compared to controls. Differences were found in two phyla (Synergistetes and Proteobacteria; both increased in PwP), and five genera (Colidextribacter, Intestinibacter, Kineothrix, Agathobaculum, and Roseburia; all decreased in PwP). Within the PD cohort, there was no association identified between microbial composition and gender, constipation or use of gastrointestinal medication. Furthermore, KEGG analysis identified 15 upregulated and 11 downregulated metabolic pathways which were predicted to be significantly altered in PwP. Conclusion: This study provides the first comprehensive characterization of the gut microbiome and predicted functional metabolic effects in a southern hemisphere PD population, further exploring the possible mechanisms whereby the gut microbiota may exert their influence on this disease, and providing evidence for the incorporation of such data in future individualized therapeutic strategies.
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spelling pubmed-85888302021-11-13 Changes in the Gut Microbiome and Predicted Functional Metabolic Effects in an Australian Parkinson’s Disease Cohort Kenna, Jade E. Chua, Eng Guan Bakeberg, Megan Tay, Alfred McGregor, Sarah Gorecki, Anastazja Horne, Malcolm Marshall, Barry Mastaglia, Frank L. Anderton, Ryan S. Front Neurosci Neuroscience Background: There has been increasing recognition of the importance of the gut microbiome in Parkinson’s disease (PD), but the influence of geographic location has received little attention. The present study characterized the gut microbiota and associated changes in host metabolic pathways in an Australian cohort of people with PD (PwP). Methods: The study involved recruitment and assessment of 87 PwP from multiple Movement Disorders Clinics in Australia and 47 healthy controls. Illumina sequencing of the V3 and V4 regions of the 16S rRNA gene was used to distinguish inter-cohort differences in gut microbiota; KEGG analysis was subsequently performed to predict functional changes in host metabolic pathways. Results: The current findings identified significant differences in relative abundance and diversity of microbial operational taxonomic units (OTUs), and specific bacterial taxa between PwP and control groups. Alpha diversity was significantly reduced in PwP when compared to controls. Differences were found in two phyla (Synergistetes and Proteobacteria; both increased in PwP), and five genera (Colidextribacter, Intestinibacter, Kineothrix, Agathobaculum, and Roseburia; all decreased in PwP). Within the PD cohort, there was no association identified between microbial composition and gender, constipation or use of gastrointestinal medication. Furthermore, KEGG analysis identified 15 upregulated and 11 downregulated metabolic pathways which were predicted to be significantly altered in PwP. Conclusion: This study provides the first comprehensive characterization of the gut microbiome and predicted functional metabolic effects in a southern hemisphere PD population, further exploring the possible mechanisms whereby the gut microbiota may exert their influence on this disease, and providing evidence for the incorporation of such data in future individualized therapeutic strategies. Frontiers Media S.A. 2021-10-29 /pmc/articles/PMC8588830/ /pubmed/34776854 http://dx.doi.org/10.3389/fnins.2021.756951 Text en Copyright © 2021 Kenna, Chua, Bakeberg, Tay, McGregor, Gorecki, Horne, Marshall, Mastaglia and Anderton. 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 Neuroscience
Kenna, Jade E.
Chua, Eng Guan
Bakeberg, Megan
Tay, Alfred
McGregor, Sarah
Gorecki, Anastazja
Horne, Malcolm
Marshall, Barry
Mastaglia, Frank L.
Anderton, Ryan S.
Changes in the Gut Microbiome and Predicted Functional Metabolic Effects in an Australian Parkinson’s Disease Cohort
title Changes in the Gut Microbiome and Predicted Functional Metabolic Effects in an Australian Parkinson’s Disease Cohort
title_full Changes in the Gut Microbiome and Predicted Functional Metabolic Effects in an Australian Parkinson’s Disease Cohort
title_fullStr Changes in the Gut Microbiome and Predicted Functional Metabolic Effects in an Australian Parkinson’s Disease Cohort
title_full_unstemmed Changes in the Gut Microbiome and Predicted Functional Metabolic Effects in an Australian Parkinson’s Disease Cohort
title_short Changes in the Gut Microbiome and Predicted Functional Metabolic Effects in an Australian Parkinson’s Disease Cohort
title_sort changes in the gut microbiome and predicted functional metabolic effects in an australian parkinson’s disease cohort
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8588830/
https://www.ncbi.nlm.nih.gov/pubmed/34776854
http://dx.doi.org/10.3389/fnins.2021.756951
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