4.5 Article

Gut microbiome in Parkinson's disease: New insights from meta-analysis

期刊

PARKINSONISM & RELATED DISORDERS
卷 94, 期 -, 页码 1-9

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.parkreldis.2021.11.017

关键词

Gut microbiome; Gut dysbiosis; Gut-brain-axis; 16S rRNA; Parkinson's disease

资金

  1. Ministry of Education, Malaysia Fundamental Research Grant Scheme (FRGS) [FRGS/1/2018/SKK02/UM/02/1]
  2. Marg Meikle Professorship for Parkinson's disease by the Pacific Parkinson's Research Institute (PPRI)
  3. PPRI
  4. Parkinson Canada
  5. Parkinson Society British Columbia

向作者/读者索取更多资源

The main factors influencing gut microbiome composition in Parkinson's disease patients include study and geographical differences. The microbiome composition was more similar within the same study compared to different studies. Differences in microbiome composition were significant between Caucasian and non-Caucasian populations, and also between PD patients and controls.
Background: Gut microbiome alterations have been reported in Parkinson's disease (PD), but with heterogenous findings, likely due to differences in study methodology and population. We investigated the main microbiome alterations in PD, their correlations with disease severity, and the impact of study and geographical differences. Methods: After systematic screening, raw 16S rRNA gene sequences were obtained from ten case-control studies totaling 1703 subjects (969 PD, 734 non-PD controls; seven predominantly Caucasian and three predominantly non-Caucasian cohorts). Quality-filtered gene sequences were analyzed using a phylogenetic placement approach, which precludes the need for the sequences to be sourced from similar regions in the 16S rRNA gene, thus allowing a direct comparison between studies. Differences in microbiome composition and correlations with clinical variables were analyzed using multivariate statistics. Results: Study and geography accounted for the largest variations in gut microbiome composition. Microbiome composition was more similar for subjects from the same study than those from different studies with the same disease status. Microbiome composition significantly differed between Caucasian and non-Caucasian populations. After accounting for study differences, microbiome composition was significantly different in PD vs. controls (albeit with a marginal effect size), with several distinctive features including increased abundances of Megasphaera and Akkermansia, and reduced Roseburia. Several bacterial genera correlated with PD motor severity, motor response complications and cognitive function. Conclusion: Consistent microbial features in PD merit further investigation. The large variations in microbiome findings of PD patients underscore the need for greater harmonization of future research, and personalized approaches in designing microbial-directed therapeutics.

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