Circular RNAs in neurological conditions – computational identification, functional validation, and potential clinical applications

Molecular Psychiatry, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 17, 2025

Abstract Non-coding RNAs (ncRNAs) have gained significant attention in recent years due to advancements biotechnology, particularly high-throughput total RNA sequencing. These developments led new understandings of non-coding biology, revealing that approximately 80% regions the genome possesses biochemical functionality. Among ncRNAs, circular (circRNAs), first identified 1976, emerged as a prominent research field. CircRNAs are abundant most human cell types, evolutionary conserved, highly stable, and formed by back-splicing events which generate covalently closed ends. Notably, circRNAs exhibit high expression levels neural tissue perform diverse functions, including acting molecular sponges for microRNAs, interacting with RNA-binding proteins regulate their availability activity, modulating transcription splicing, even translating into functional peptides some cases. Recent computational experimental methods enhanced our ability identify validate circRNAs, providing valuable insights biological roles. This review focuses on circRNA they related neuropsychiatric neurodegenerative conditions. We also explore potential applications clinical diagnostics, therapeutics, future directions. remain relatively underexplored area context neurological disorders. However, emerging evidence supports role critical players etiology mechanisms conditions such schizophrenia, bipolar disorder, major depressive Alzheimer’s disease, Parkinson’s disease. findings suggest may provide novel framework contributing dysfunctions underpinning these complex

Language: Английский

Uncovering potential molecular markers and pathological mechanisms of Parkinson's disease and myocardial infarction based on bioinformatics analysis

Technology and Health Care, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 5, 2025

Background The direct association between Parkinson's disease (PD) and Myocardial infarction (MI) has been the subject of relatively limited research. Objective purpose this study was to identify genes most associated with PD MI explore their common pathogenesis. Methods gene expression profiles were downloaded from GEO database. Differential analysis performed differential (DEGs) MI, followed by functional annotation. Subsequently, protein-protein interaction network constructed, hub DEGs identified based on CytoHubba plugin LASSO regression analysis. To potential molecular mechanism DEGs, GSEA analysis, immune correlation drug prediction docking performed, transcription factors (TF) lncRNA-miRNA-mRNA (ceRNA) regulatory networks constructed. Results A total 48 same trend in vs. normal control (NC) NC groups. Functional annotation results showed that significantly enriched inflammation-related pathways. RPS4Y1 UTY relevant for may be involved HALLMARK_MYC_TARGETS_V1 HALLMARK_PROTEIN_SECRETION TP63 a TF UTY. PVT1/KCNQ1OT1-hsa-miR-31-5p-RPS4Y1 KCNQ1OT1-hsa-let-7a-5p/hsa-miR-19b-3p-UTY axes play an important role regulating MI. CYCLOHEXIMIDE ATALAREN drugs treatment comorbidity. In addition, exhibit different patterns cell infiltration function status, which related specific pathological processes disease. Conclusions This revealed first time biomarkers therapeutic targets. provides new perspective mechanisms

Language: Английский

Impact of potential biomarkers, SNRPE, COX7C, and RPS27, on idiopathic Parkinson’s disease

Genes & Genomics, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 28, 2024

Language: Английский