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IgA-Biome Profiles Correlate with Clinical Parkinson’s Disease Subtypes

IgA-Biome Profiles Correlate with Clinical Parkinson’s Disease Subtypes

Authors :
Eric L. Brown
Heather T. Essigmann
Kristi L. Hoffman
Ashley Alexander
Michael Newmark
Zhi-Dong Jiang
Jessika S. Ocampo
Mya C. Schiess
Craig L. Hanis
Herbert L. DuPont
Source :
Journal of Parkinson's Disease. :1-13
Publication Year :
2023
Publisher :
IOS Press, 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. 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. 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). 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. 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 analysis identified unique proinflammatory microbial signature in the IgA + fraction of those with AR that would have otherwise been undetected using conventional microbiome analysis approaches.

Details

ISSN :
1877718X and 18777171
Database :
OpenAIRE
Journal :
Journal of Parkinson's Disease
Accession number :
edsair.doi...........936b9e7b58a77bfd7085f62df3f4e993
Full Text :
https://doi.org/10.3233/jpd-230066