Evidence map›Paper›PMID 42541533›Full record

ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2026

Identification and validation of Parkinson's disease relevant microRNAs in plasma extracellular vesicles.

Deepthy Chandran, Syam Krishnan, Srinivas Gopala, Madhusoodanan Urulangodi

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Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 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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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Deepthy ChandranDepartment of Biochemistry, Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST), Thiruvananthapuram, Kerala, 695011, India.
Syam KrishnanDepartment of Neurology, Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST), Thiruvananthapuram, Kerala, 695011, India.
Srinivas GopalaDepartment of Biochemistry, Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST), Thiruvananthapuram, Kerala, 695011, India. srinivasg@sctimst.ac.in.ORCID http://orcid.org/0000-0001-5885-6256
Madhusoodanan UrulangodiDepartment of Biochemistry, Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST), Thiruvananthapuram, Kerala, 695011, India. drmadhusoodanan@sctimst.ac.in.ORCID http://orcid.org/0000-0002-1536-3686

Funding

Indian Council of Medical Research NO:5/4-5Ad-hoc/Neuro/217/202-NCD1
6 · The paper itself

Abstract

backgroundThe diagnosis of Parkinson's disease (PD) is currently clinical. While CSF-based α-synuclein Real-time quaking-induced conversion (RT-QuIC) assays have shown promising diagnostic performance in sporadic PD, accessible blood-based biomarkers for early diagnosis, prognosis, and disease monitoring remain limited. Evidence suggests that microRNAs in Extracellular vesicles (EV) are stable in circulation and may reflect disease-associated dysregulation.

objectiveTo identify a panel of dysregulated EV-microRNAs that are linked to PD pathogenesis and to validate them in plasma EVs.

methodsDysregulated miRNAs in PD were identified from GEO datasets and from published high-throughput next-generation sequencing (NGS) data on plasma EV. Based on recurrence and biological relevance, five miRNAs were selected for validation. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were conducted using Funrich, Enrichr, and Database for Annotation, Visualization and Integrated Discovery (DAVID), and further target gene analysis for hub genes was performed using Cytoscape. qRT-PCR was used for the validation of selected miRNAs.

resultsComparative analysis of miRNAs in PD revealed 89 unique miRNAs. Integrated target prediction yielded 36 genes, among which the top 10 hub genes were identified using the protein-protein interaction network. KEGG and GO enrichment analyses indicate that the predicted target genes were significantly associated with cell-cell adhesion, endoplasmic reticulum protein processing, apoptosis, cellular senescence, and key pathways such as p53, MAPK, and FOXO signaling. RT-PCR revealed significant increase in hsa-let-7e-5p, hsa-miR-19b-3p, hsa-miR-24-3p and hsa-miR-331-5p in PD.

conclusionThe EV miRNAs, specifically, hsa-let-7e-5p, hsa-miR-19b-3p, hsa-miR-24-3p, and hsa-miR-331-5p are promising candidates for PD diagnosis as they are associated with regulatory pathways involved in PD pathogenesis.

Indexed as

Extracellular VesiclesMicroRNAsParkinson DiseaseBiomarkersHumansBiomarkersMicroRNAsBiomarkersExtracellular vesiclesMiRNAParkinson’s disease

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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 OpenQuestion graph.