| Autor: |
Aleksandra Beric, Yichen Sun, Santiago Sanchez, Charissa Martin, Tyler Powell, Ravindra Kumar, Jose Adrian Pardo, Gauri Darekar, Jessie Sanford, Devin Dikec, Bridget Phillips, Juan A. Botia, Carlos Cruchaga, Laura Ibanez |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
npj Parkinson's Disease, Vol 10, Iss 1, Pp 1-14 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2373-8057 |
| DOI: |
10.1038/s41531-024-00839-3 |
| Popis: |
Abstract To identify circRNAs associated with Parkinson’s disease (PD) we leveraged two of the largest publicly available studies with longitudinal clinical and blood transcriptomic data. We performed a cross-sectional study utilizing the last visit of each participant (N = 1848), and a longitudinal analysis that included 1166 participants with at least two time points. We identified 192 differentially expressed circRNAs, with effects that were sustained during disease, in mutation carriers, and diverse ancestry. The 192 circRNAs were leveraged to distinguish between PD and healthy participants with a ROC AUC of 0.797. Further, 71 circRNAs were sufficient to distinguish between genetic PD (AUC71 = 0.954) and, at-risk participants (AUC71 = 0.929) and healthy controls, supporting that circRNAs have the potential to aid the diagnosis of PD. Finally, we identified five circRNAs highly correlated with symptom severity. Overall, we demonstrated that circRNAs play an important role in PD and can be clinically relevant to improve diagnostic and monitoring. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
Full text from SpringerLink