Identification of significant biomarkers for predicting the risk of bipolar disorder with arteriosclerosis based on integrative bioinformatics and machine learning
This study identified the hub genes CX3CR1 and ST6GAL1 in BD and AS, providing new insights for further research on the bioinformatic mechanisms of BD with AS and contributing to the diagnosis and prevention of AS in psychiatric clinical practice.
Authors
- Xiabing Zheng
- Erni Ji
- Cai Chen (ORCID: https://orcid.org/0000-0001-5606-1871)
- Yaqi Zhang (ORCID: https://orcid.org/0000-0002-3290-929X)
- Xiaozhe Zhang (ORCID: https://orcid.org/0009-0007-2192-3065)
Institutions
- Sun Yat-sen University (CN)
- Shenzhen KangNing Hospital (CN)
- Eighth Affiliated Hospital of Sun Yat-sen University
Publication Details
- Journal
- Frontiers in Psychiatry
- Published
- 2024-09-03
- DOI
- https://doi.org/10.3389/fpsyt.2024.1392437
- Citations
- 1
- Primary Topic
- GDF15 and Related Biomarkers
- Type
- article
- Field-Weighted Citation Impact
- 0.47