Screening of immune-related secretory proteins linking chronic kidney disease with calcific aortic valve disease based on comprehensive bioinformatics analysis and machine learning.
Enyi ZhuXiaorong ShuZi XuYanren PengYunxiu XiangYu LiuHui GuanMing ZhongJinhong LiLi-Zhen ZhangRuqiong NieZhihua ZhengPublished in: Journal of translational medicine (2023)
We revealed the inflammatory-immune pathways underlying CKD-related CAVD, and developed SLPI/MMP9-based CAVD diagnostic nomogram, which offered novel insights into future serum-based diagnosis and therapeutic intervention of CKD with CAVD.
Keyphrases
- chronic kidney disease
- aortic valve
- end stage renal disease
- machine learning
- transcatheter aortic valve replacement
- bioinformatics analysis
- transcatheter aortic valve implantation
- randomized controlled trial
- aortic valve replacement
- aortic stenosis
- oxidative stress
- current status
- coronary artery disease
- artificial intelligence
- lymph node metastasis
- heart failure
- deep learning
- big data
- peritoneal dialysis