This small bioinformatic and pilot clinical study identifies miR-16-5p and miR-32-5p as glioma-associated (elevated in tumor tissue and plasma) but finds no change in plasma levels in Parkinson's patients.

While the work highlights miR-16-5p/miR-32-5p and p53-linked pathways in glioma, it offers limited immediate therapeutic insight for Parkinson's disease; nonetheless, the shared-target approach flags apoptosis/p53-related mechanisms that could merit larger, mechanistic studies for neuroprotection…

OBJECTIVES: In this study, we explore the molecular basis of the literature-reported inverse association between brain neoplasms and neurodegenerative disorders, including Parkinson's disease (PD). As miRNAs are post-transcriptional regulators, we selected them as candidates underlying opposite processes of neurodegeneration and glioma development. METHODS: We used bioinformatic analyses for disease-gene extraction, miRNA target prediction, enrichment analyses, and miRNA ranking. We identified 953 shared genes between PD and glioblastoma (GBM) in DisGeNET, then prioritized miRNAs predicted to regulate the largest number of shared targets. Next, we collected peripheral blood from patients with PD (n = 12), patients with gliomas (the most advanced-grade IV, n = 10 and grade III n = 3) and controls undergoing spinal surgery for disk pathology (n = 10). Blood samples were obtained pre-operatively in controls and glioma patients. Tumor and peritumoral tissues were obtained from glioma patients, whereas tissue sampling is not feasible in PD. Brain tissues and plasma were analyzed using RT-qPCR (miRNA) and ELISA (p53). RESULTS: We observed increased levels of miR-16-5p (p < 0.05) and p53 protein (p < 0.05) in tumor tissues compared with peritumoral tissue. Additionally, miR-16-5p and miR-32-5p plasma levels were elevated in glioma patients compared with both PD patients (p < 0.01 and p < 0.001, respectively) and controls (p < 0.01 and p < 0.001, respectively). Plasma levels in PD did not differ from controls. CONCLUSIONS: Although these analyses highlight miR-16-5p and miR-32-5p as candidate biomarkers associated with glioma related pathways, the results did not provide evidence for the expected opposite regulation between PD and glioma. Future studies with a larger cohort of patients using high-throughput methods are needed to validate these findings and to elucidate the mechanisms driving neurodegeneration or excessive proliferation.