Code for integrated multi-cohort analysis of the Parkinson’s disease gut metagenome

By Joseph Boktor, BSc
View Published Code

Output Details

Description
Detailed scripts to reproduce all analysis and data visualization for the paper "Integrated multi-cohort analysis of the Parkinson's disease gut metagenome," including an interactive shiny R app for exploration of metagenomic features of interest in our data sets.
Identifier (DOI)
10.5281/zenodo.7183678
Tags
  • Gut
  • Metagenome
  • Parkinson's disease
Team
Team Gradinaru and Team Sulzer
Program
Collaborative Research Network
Theme
Circuitry and Brain-Body Interactions Neuro-Immune Interactions

Meet the Authors

  • User avatar fallback logo

    Joseph Boktor, BSc

    Key Personnel: Team Sulzer, 

    California Institute of Technology

Related Research

Integrated multi-cohort analysis of the Parkinson’s disease gut metagenome

The authors perform metagenomic sequencing of multiple geographically-disparate cohorts and find that stereotypic changes in the functional metabolic potential of the gut microbiome are a consistent feature of PD.

View Article

Article: PINK1 deficiency rewires early immune responses in a mouse model of Parkinson’s disease triggered by intestinal infection

PINK1 KO mice show PD-like symptoms post intestinal infections, with myeloid cells dysregulation and T cell response early after infection. PINK1 plays a key role in gut immune functions linked to early PD mechanisms.

View Article

Lewy body diseases and the gut

GI involvement in Lewy body diseases may start with ⍺-synuclein in the gut spreading to the brain. Gut microbiome, immune system, and toxins play roles. These connections could lead to new therapies targeting the gut-brain axis for disease…

View Article
View More Outputs
Aligning Science Across Parkinson's
Powered by  GDPR Cookie Compliance
Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.