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Computational Analysis of the Effect of Dietary Interventions on the Gut Microbiome Composition in Parkinson’s Disease

  • López Franyer
  • , García Macias Adrian
  • , Beltran Oscar
  • , Janneth González
  • , Pinzón Andrés
  • Bioinformatics and Systems Biology Laboratory, Instituto de Genética, Universidad Nacional de Colombia, Edificio 426, Calle 53 #37A-47, Bogotá D.C. 111321, Colombia

Producción: Contribución a una revistaArtículorevisión exhaustiva

Resumen

Parkinson’s disease (PD) is a neurodegenerative disorder characterized by motor symptoms like tremor, rigidity, and bradykinesia. The WHO estimates that 10 million people currently have PD, with its prevalence expected to double to 20 million by 2050. Key risk factors include age, male sex, environmental contaminants, and family history. Emerging evidence links gut microbiota dysbiosis to PD, suggesting it contributes to neuroinflammation and disease progression, though the role of dietary interventions remains unclear. This study used computational simulations with genome-scale metabolic models (GEMs) to analyze how diet impacts the gut microbiota in PD patients. Fecal microbiota from PD patients and healthy controls were compared across three diets: high-fiber, Mediterranean, and vegan. Simulations revealed increased pro-inflammatory bacteria (e.g., Escherichia coli O157) in PD patients, likely due to reduced bacterial competition, alongside the decreased production of beneficial metabolites like butyrate, phenylalanine, and cysteine. The Mediterranean diet showed higher short-chain fatty acid production, potentially benefiting PD patients. These findings underscore the importance of dietary interventions in modulating the gut microbiome and suggest that targeted diets may complement PD therapies, improving patient outcomes.
Idioma originalInglés
Páginas (desde-hasta)59:1–59:24
Número de páginas24
PublicaciónBacteria
Volumen4
N.º4
DOI
EstadoPublicada - 25 nov 2025

Palabras clave

  • Parkinson’s disease
  • short-chain fatty acids
  • microbiota

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