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Oral and gut microbiome profiles in people with early idiopathic Parkinson’s disease

  • Keaton Stagaman,
  • Matthew J. Kmiecik,
  • Madeleine Wetzel,
  • Stella Aslibekyan,
  • Teresa Filshtein Sonmez,
  • Pierre Fontanillas,
  • Adam Auton,
  • Elizabeth Babalola,
  • Robert K. Bell,
  • Jessica Bielenberg,
  • Jonathan Bowes,
  • Katarzyna Bryc,
  • Ninad S. Chaudhary,
  • Daniella Coker,
  • Sayantan Das,
  • Emily DelloRusso,
  • Sarah L. Elson,
  • Nicholas Eriksson,
  • Teresa Filshtein,
  • Will Freyman,
  • Zach Fuller,
  • Chris German,
  • Julie M. Granka,
  • Karl Heilbron,
  • Alejandro Hernandez,
  • Barry Hicks,
  • David A. Hinds,
  • Ethan M. Jewett,
  • Yunxuan Jiang,
  • Katelyn Kukar,
  • Alan Kwong,
  • Yanyu Liang,
  • Keng-Han Lin,
  • Bianca A. Llamas,
  • Matthew H. McIntyre,
  • Steven J. Micheletti,
  • Meghan E. Moreno,
  • Priyanka Nandakumar,
  • Dominique T. Nguyen,
  • Jared O’Connell,
  • Aaron A. Petrakovitz,
  • G. David Poznik,
  • Alexandra Reynoso,
  • Shubham Saini,
  • Morgan Schumacher,
  • Leah Selcer,
  • Anjali J. Shastri,
  • Janie F. Shelton,
  • Jingchunzi Shi,
  • Suyash Shringarpure,
  • Qiaojuan Jane Su,
  • Susana A. Tat,
  • Vinh Tran,
  • Joyce Y. Tung,
  • Xin Wang,
  • Wei Wang,
  • Catherine H. Weldon,
  • Peter Wilton,
  • Corinna D. Wong,
  • Joyce Tung,
  • Michael V. Holmes,
  • Seth T. Walk,
  • Madelyn C. Houser,
  • Lucy Norcliffe-Kaufmann

摘要

Background

Early detection of Parkinson’s disease (PD), a neurodegenerative disease with central and peripheral nerve involvement, ensures timely treatment access. Microbes influence nervous system health and are altered in PD.

Methods

We examined gut and mouth microbiomes from recently diagnosed patients in a geographically diverse, matched case-control, shotgun metagenomics study.

Results

Here, we show greater alpha-diversity in 445 PD patients versus 221 controls. The microbial signature of PD includes overabundance of 16 OTUs, including Streptococcus mutans and Bifidobacterium dentium, and depletion of 28 OTUs. Machine learning models indicate that subspecies level oral microbiome abundances best distinguish PD with reasonably high accuracy (area under the curve: 0.758). Microbial networks are disrupted in cases, with reduced connectivity between short-chain fatty acid-producing bacteria the the gut. Importantly, microbiome diversity metrics are associated with non-motor autonomic symptom severity.

Conclusions

Our results provide evidence that predictive oral PD microbiome signatures could possibly be used as biomarkers for the early detection of PD, particularly when there is peripheral nervous system involvement.