Identification of key genes and diagnostic model associated with circadian rhythms and Parkinson’s disease by bioinformatics analysis
Through bioinformatic analysis, the circadian rhythm related biomarkers were identified (AK3, RTN3 and LEPR) in PD, contributing to studies related to PD treatment.
Authors
- Hu Liu (ORCID: https://orcid.org/0000-0002-3952-4165)
- Mei Tian (ORCID: https://orcid.org/0000-0002-1587-2114)
- Shan Wang (ORCID: https://orcid.org/0000-0002-7971-8300)
- Liang Wang (ORCID: https://orcid.org/0000-0002-5247-6727)
- Jiyuan Zhang (ORCID: https://orcid.org/0000-0003-4439-0779)
- Zhiguang Li (ORCID: https://orcid.org/0000-0003-2474-3485)
- Ya Wen (ORCID: https://orcid.org/0000-0002-1942-2110)
- Xiaopeng Ma
Institutions
- Hebei Medical University (CN)
- Second Hospital of Hebei Medical University (CN)
- Xingtai People's Hospital (CN)
Publication Details
- Journal
- Frontiers in Aging Neuroscience
- Published
- 2024-10-16
- DOI
- https://doi.org/10.3389/fnagi.2024.1458476
- Citations
- 6
- Primary Topic
- Parkinson's Disease Mechanisms and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 2.21
Funders
- Hebei Medical University