Artificial intelligence and multi-omics nominate TAZ as an insomnia-related diagnostic and druggable target for Parkinson’s disease patients

By integrating AI pipelines and multi-omics, our study first traced TAZ mechanisms in PD pathogenesis and elaborated on TAZ's predictive and druggable potential for PD patients.

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Publication Details

Journal
Frontiers in Aging Neuroscience
Published
2026-02-04
DOI
https://doi.org/10.3389/fnagi.2026.1727472
Primary Topic
Parkinson's Disease Mechanisms and Treatments
Type
article
Field-Weighted Citation Impact
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article

Artificial intelligence and multi-omics nominate TAZ as an insomnia-related diagnostic and druggable target for Parkinson’s disease patients

Wenjing Ma
Frontiers in Aging Neuroscience
Parkinson's Disease Mechanisms and Treatments
article

Artificial intelligence and multi-omics nominate TAZ as an insomnia-related diagnostic and druggable target for Parkinson’s disease patients

Wenjing Ma
article en

Abstract

By integrating AI pipelines and multi-omics, our study first traced TAZ mechanisms in PD pathogenesis and elaborated on TAZ's predictive and druggable potential for PD patients.

Frontiers in Aging NeuroscienceVol. 18
Community Health Center (US), Beijing Chaoyang Emergency Medical Center (CN)
Good health and well-being
Openalex Percentile: Top 68%
Parkinson's Disease Mechanisms and Treatments
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Artificial intelligence and multi-omics nominate TAZ as an insomnia-related diagnostic and druggable target for Parkinson’s disease patients — Wenjing Ma · Frontiers in Aging Neuroscience (2026) | TGRS Research Map | TGRS