An integrated bioinformatics and machine learning approach to identifying biomarkers connecting parkinson’s disease with purine metabolism-related genes
This investigation successfully identified nine PMGs associated with PD, providing valuable insights into potential novel biomarkers for this condition. These findings contribute to a deeper understanding of PD's pathogenesis and may aid in monitoring its progression, offering a new perspective in the study of neurodegenerative diseases.
Authors
- Dong Wu (ORCID: https://orcid.org/0000-0002-9539-5935)
- Tiantian Yang (ORCID: https://orcid.org/0009-0000-0499-336X)
- Yao Wang (ORCID: https://orcid.org/0000-0001-5433-7360)
- Man Zheng
Institutions
- Shandong University of Traditional Chinese Medicine (CN)
- Wenzhou Medical University (CN)
- Shandong Provincial Hospital (CN)
- Dongyang People's Hospital (CN)
- Shandong First Medical University (CN)
Publication Details
- Journal
- BMC Neurology
- Published
- 2025-04-16
- DOI
- https://doi.org/10.1186/s12883-025-04167-8
- Citations
- 4
- Primary Topic
- Bioinformatics and Genomic Networks
- Type
- article
- Field-Weighted Citation Impact
- 3.22
Funders
- Natural Science Foundation of Shandong Province