Machine Learning and Experimental Validation of m6A RNA Methylation Related Signatures for Risk Prediction, Diagnostic Biomarkers, and Immune Subtypes in Chronic Kidney Disease
Beyond advancing the mechanistic understanding of m6A in CKD, this study provides a translatable risk prediction model and delineates distinct immune subtypes, offering valuable foundations for future clinical stratification, diagnostic refinement, and the development of personalized immunomodulatory therapies.
Authors
- Jiaheng Chen
- Wencong Ding
- Yanting Liao
- Zhiwei Wang
Institutions
- Guangzhou University of Chinese Medicine (CN)
- Integrated Chinese Medicine (China) (HK)
Publication Details
- Journal
- Journal of Inflammation Research
- Published
- 2026-02-01
- DOI
- https://doi.org/10.2147/jir.s553934
- Primary Topic
- RNA modifications and cancer
- Type
- article
- Field-Weighted Citation Impact
- 0.00