Sign in
NeurosciencebioRxiv
Preprint

Microbiome-to-Nigrostriatal Vulnerability Mapping Prioritizes SCFA-Linked Gut-Brain Axes in Parkinson's Disease

Nabanita GhoshiD

Abstract

BackgroundParkinsons disease (PD) is increasingly recognized as a multisystem neurodegenerative disorder in which gastrointestinal dysfunction, microbial ecology, immune signaling, and nigrostriatal vulnerability intersect. Microbiome studies have identified PD-associated gut microbial alterations, but translating these observations into host-relevant biological axes requires integration across microbial functions, metabolites, host genes, and brain-region transcriptomic context. MethodsMiNi-PD was developed as a lightweight, fully in silico, table-level prioritization workflow integrating processed PD microbiome features, curated microbe-metabolite-host-gene associations from gutMGene v2.0, and processed substantia nigra and putamen transcriptomic support from GSE136666. The framework ranks microbe-metabolite-host-gene axes using exact-curated metabolite-mediated evidence, brain-region support, and a normalized Nigrostriatal Gut-Brain Convergence Score (NGBCS). ResultsStrict evidence filtering retained 639 primary exact-curated metabolite-mediated axes. Of these, 12 had FDR-level brain transcriptomic support and 65 had nominal-or-stronger support. IL1B emerged as the principal FDR-level host-gene convergence point. SCFA-linked metabolites dominated the primary exact-curated set, including 387 butyrate axes and 5 3-indolepropionic-acid axes. The FDR-supported axes reached the maximum NGBCS value of 5.0, while the top nominally supported axes reached the high-priority NGBCS value of 4.5. ConclusionMiNi-PD identifies a focused SCFA-linked gut-brain signature in PD, highlighting butyrate- and 3-indolepropionic-acid-associated links to IL1B as a biologically meaningful substantia nigra-supported inflammatory axis. The NGBCS framework provides an accessible and interpretable route for prioritizing metabolite-mediated gut-brain mechanisms for downstream validation.

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISWallen '22Villette '25Miquel-Rio '25Baldini '19Krueger '25Murchison '26
75% semantic matchGenomics
Zachary D. Wallen, Ayşe Demirkan, Guy Twa+5 more·Nature Communications·Nov 14, 2022· 346 citations