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IgA-Biome Profiles Correlate with Clinical Parkinson's Disease Subtypes.
- Source :
-
Journal of Parkinson's disease [J Parkinsons Dis] 2023; Vol. 13 (4), pp. 501-513. - Publication Year :
- 2023
-
Abstract
- Background: Parkinson's disease is a heterogeneous neurodegenerative disorder with distinctive gut microbiome patterns suggesting that interventions targeting the gut microbiota may prevent, slow, or reverse disease progression and severity.<br />Objective: Because secretory IgA (SIgA) plays a key role in shaping the gut microbiota, characterization of the IgA-Biome of individuals classified into either the akinetic rigid (AR) or tremor dominant (TD) Parkinson's disease clinical subtypes was used to further define taxa unique to these distinct clinical phenotypes.<br />Methods: Flow cytometry was used to separate IgA-coated and -uncoated bacteria from stool samples obtained from AR and TD patients followed by amplification and sequencing of the V4 region of the 16 S rDNA gene on the MiSeq platform (Illumina).<br />Results: IgA-Biome analyses identified significant alpha and beta diversity differences between the Parkinson's disease phenotypes and the Firmicutes/Bacteroides ratio was significantly higher in those with TD compared to those with AR. In addition, discriminant taxa analyses identified a more pro-inflammatory bacterial profile in the IgA+ fraction of those with the AR clinical subclass compared to IgA-Biome analyses of those with the TD subclass and with the taxa identified in the unsorted control samples.<br />Conclusion: IgA-Biome analyses underscores the importance of the host immune response in shaping the gut microbiome potentially affecting disease progression and presentation. In the present study, IgA-Biome analyses identified a unique proinflammatory microbial signature in the IgA+ fraction of those with AR that would have otherwise been undetected using conventional microbiome analysis approaches.
Details
- Language :
- English
- ISSN :
- 1877-718X
- Volume :
- 13
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- Journal of Parkinson's disease
- Publication Type :
- Academic Journal
- Accession number :
- 37212075
- Full Text :
- https://doi.org/10.3233/JPD-230066