Background: Parkinson's disease (PD) is a complex neurodegenerative disorder characterized by motor and non-motor symptoms. Early diagnosis remains challenging due to the lack of reliable, non-invasive biomarkers. Here, we explored the potential of tear fluid (TF) as a diagnostic source by profiling its microRNA (miRNA) content. Methods: The study included a discovery (8 PD, 7 healthy controls (HC)) and a replication cohort (9 PD, 9 HC). miRNA expression was assessed using TaqMan Human MicroRNA arrays. Independent in-silico validation was conducted using a qPCR-based miRNA array dataset comprising pooled cDNA samples from controls (n = 10) and PD patients (n = 29). The relationship between microRNA expression and composite clinical scores in PD patients was explored. Target gene prediction, pathway enrichment, and interaction network analyses were performed. Results: The t-RNA-derived miR-1274b was consistently upregulated in the TF of PD patients across the discovery and replication cohorts, with additional in-silico support from the independent dataset. Increased expression was particularly evident in a PD subgroup characterized by combined non-motor autonomic symptoms. Predicted target genes were associated with neurodegeneration and cellular dysfunction. Over-representation analysis highlighted pathways related to negative regulation of synaptic transmission, while network analysis revealed interactions between miRNA targets and key PD-related genes, supporting a potential role in disease mechanisms. Conclusions: Our findings identify miR-1274b as a TF-based miRNA associated with PD, supporting its potential as a non-invasive biomarker. Further studies with larger cohorts and other neurodegenerative diseases are needed to validate these results and explore their clinical applicability.
Up-regulation of tRNA-derived miR-1274b in tears of Parkinson's disease patients / E. Salvi, I. Vannetiello, F.A. Cazzaniga, A. Ciullini, A.F. Demleitner, N.G. Andreasi, S. Tomé, A.E. Elia, V. Leta, P. Lingor, R. Eleopra, M. Catania, G. Devigili, F. Moda. - In: PARKINSONISM & RELATED DISORDERS. - ISSN 1353-8020. - 147:(2026 Jun), pp. 108305.1-108305.6. [10.1016/j.parkreldis.2026.108305]
Up-regulation of tRNA-derived miR-1274b in tears of Parkinson's disease patients
F. ModaUltimo
2026
Abstract
Background: Parkinson's disease (PD) is a complex neurodegenerative disorder characterized by motor and non-motor symptoms. Early diagnosis remains challenging due to the lack of reliable, non-invasive biomarkers. Here, we explored the potential of tear fluid (TF) as a diagnostic source by profiling its microRNA (miRNA) content. Methods: The study included a discovery (8 PD, 7 healthy controls (HC)) and a replication cohort (9 PD, 9 HC). miRNA expression was assessed using TaqMan Human MicroRNA arrays. Independent in-silico validation was conducted using a qPCR-based miRNA array dataset comprising pooled cDNA samples from controls (n = 10) and PD patients (n = 29). The relationship between microRNA expression and composite clinical scores in PD patients was explored. Target gene prediction, pathway enrichment, and interaction network analyses were performed. Results: The t-RNA-derived miR-1274b was consistently upregulated in the TF of PD patients across the discovery and replication cohorts, with additional in-silico support from the independent dataset. Increased expression was particularly evident in a PD subgroup characterized by combined non-motor autonomic symptoms. Predicted target genes were associated with neurodegeneration and cellular dysfunction. Over-representation analysis highlighted pathways related to negative regulation of synaptic transmission, while network analysis revealed interactions between miRNA targets and key PD-related genes, supporting a potential role in disease mechanisms. Conclusions: Our findings identify miR-1274b as a TF-based miRNA associated with PD, supporting its potential as a non-invasive biomarker. Further studies with larger cohorts and other neurodegenerative diseases are needed to validate these results and explore their clinical applicability.| File | Dimensione | Formato | |
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