Evidence map›Paper›PMID 42745872›Full record

ArticleFrontiers in neuroscience2026

A neuron-distributed DEK integrates ac4C modification and neuroinflammation in pathogenesis of Parkinson disease: evidence from Mendelian randomization, multi-omics and

Yuan Li

Abstract read
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Article in Frontiers in neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

1 author.

Yuan LiWest China Hospital, West China School of Nursing, Sichuan University, Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Epi-transcriptomic modifications, particularly N4-acetylcytidine (ac4C), and chronic neuroinflammation have emerged as pivotal players in the pathogenesis of Parkinson's disease (PD). However, the specific molecular co-expression patterns linking ac4C RNA modification to neuronal inflammatory responses remains largely uncharted. Objective: This study aimed to decode the ac4C-neuroinflammation (AN)-associated molecular patterns in PD and to identify a neuron-specific central pathogenic and therapeutic factor. Methods: We integrated multi-omics analyses by using peripheral blood bulk transcriptomes (GSE18838, GSE49126, GSE22491, GSE6613, and GSE57475) and GWAS data from PD patients for identification of AN-related risk genes. Next, consensus clustering and 3 machine learning algorithms (LASSO, RF, and SVM-RFE) were applied for patient stratification, hub gene identification, and diagnostic modeling. Single-cell transcriptomic profiling of PD patients (GSE140231) was leveraged to map the cellular distribution and mechanistic roles of the hub gene within the substantia nigra (SN). An AI-driven active learning framework and the CTD database were utilized to screen therapeutic candidates targeting the hub gene, with binding affinities validated via molecular docking. Results: We pinpointed 7 AN-associated risk DEGs for PD patients, including HSP90AA1, DEK, LEF1, IRF2, BCL2L1, CFL1, and BCR, which effectively stratified PD patients into 2 distinct immune-molecular subgroups. DEK can be considered as neuron-distributed and up-regulated AN-associated central pathogenic factor for PD patients. The DrugReflector active learning framework identified BRD-K57589644 as a computationally prioritized compound warranting further investigation. Conclusion: This study establishes a novel AN-associated molecular patterns in PD, identifying DEK as a computationally identified neuron-specific factor associated with ac4C modification and neuroinflammatory cascades for PD patients.

Indexed as

ac4C modificationDEKmachine learningmulti-omicsneuroinflammationParkinson’s disease

Identifiers

PMID42745872
PMCPMC13574935

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.