Evidence mapPaperPMID 41383243Full record

ArticleFrontiers in neurology2025

Cross-species validation of a 6-miRNA blood signature for Parkinson's disease: from MPTP mice to human PBMC and serum exosomes.

Nagyum Jung, Seung-Nam Kim

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Article in Frontiers in neurology, 2025. 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

What it found

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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

2 authors.

Nagyum JungCollege of Korean Medicine, Dongguk University, Goyang, Republic of Korea.
Seung-Nam KimCollege of Korean Medicine, Dongguk University, Goyang, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Early detection of Parkinson's disease (PD) remains challenging due to the lack of reliable blood-based biomarkers. While microRNAs (miRNAs) show promise as circulating biomarkers, translating preclinical discoveries to clinically applicable panels requires rigorous validation across platforms and populations. Methods: We performed temporal miRNA profiling in an acute MPTP mouse model (day 0 vs. day 5, Results: Seventeen miRNAs showed significant time-dependent changes in MPTP-treated mice (FDR <0.05), with 15 down-regulated and 2 up-regulated at day 5. Stability selection identified a 6-miRNA panel comprising miR-92b, miR-133a, miR-326, miR-125b, miR-148a, and miR-30b. External validation demonstrated consistent discriminative performance across platforms: GSE16658 AUC = 0.696 ( Discussion: The signature showed platform-agnostic stability, performing comparably in PBMC and serum exosomes despite biological and technical differences. A 6-miRNA signature derived from acute MPTP response translates effectively to human blood samples, demonstrating reproducible PD discrimination across multiple platforms. The compact panel size and cross-platform compatibility support its potential for clinical biomarker development. By integrating AI-enhanced feature selection and permutation-based validation, this study provides a reproducible framework for biomarker discovery and a foundation for future early detection and precision medicine in Parkinson's disease.

Indexed as

blood-based biomarkercross-species validationearly detectionmicroRNA biomarkersParkinson’s diseasePBMCprecision medicineserum exosomes

Identifiers

PMID41383243
PMCPMC12689404

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.