A gut microbiota-based predictive model for the treatment efficacy of Parkinson’s disease

The RF model incorporating clinical and biological markers effectively predicts decline in treatment efficacy among PD patients, with fecal calprotectin, fecal lactoferrin, and the <i>E. coli</i>/Lactobacillus ratio serving as key predictors.

Authors

Chen Liu (ORCID: https://orcid.org/0000-0002-9447-6370)
Tianqi Yu (ORCID: https://orcid.org/0000-0002-6264-2311)

Institutions

Yantaishan Hospital (CN)

Publication Details

Journal: Frontiers in Neurology
Published: 2025-12-18
DOI: https://doi.org/10.3389/fneur.2025.1686882
Primary Topic: Gut microbiota and health
Type: article
Field-Weighted Citation Impact: 0.00

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article

A gut microbiota-based predictive model for the treatment efficacy of Parkinson’s disease

Chen Liu, Tianqi Yu

Dec 18, 2025

Frontiers in Neurology

Gut microbiota and health

article

A gut microbiota-based predictive model for the treatment efficacy of Parkinson’s disease

Chen Liu, Tianqi Yu

December 18, 2025article en

Abstract

Frontiers in NeurologyVol. 16

Yantaishan Hospital (CN)

Openalex Percentile: Top 63%

Gut microbiota and health

DOI Open Access PDF OpenAlex

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A gut microbiota-based predictive model for the treatment efficacy of Parkinson’s disease — Chen Liu, Tianqi Yu · Frontiers in Neurology (2025) | TGRS Research Map | TGRS