Prioritization of potential drug targets for diabetic kidney disease using integrative omics data mining and causal inference

Prioritization of potential drug targets for diabetic kidney disease using integrative omics data mining and causal inference

Diabetic kidney disease (DKD) with increasing global prevalence lacks effective therapeutic targets to halt or reverse its progression. Therapeutic targets supported by causal genetic evidence are more likely to succeed in randomized clinical trials. In this study, we integrated large-scale plasma p...

Full description

Saved in:
Bibliographic Details
Main Authors: Junyu Zhang, Jie Peng, Chaolun Yu, Yu Ning, Wenhui Lin, Mingxing Ni, Qiang Xie, Chuan Yang, Huiying Liang, Miao Lin
Format: Article
Language:English
Published: Elsevier 2025-08-01
Series:Journal of Pharmaceutical Analysis
Subjects:
Diabetic kidney disease
Proteomics
Causal inference
Drug targets
Online Access:http://www.sciencedirect.com/science/article/pii/S2095177925000826
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

http://www.sciencedirect.com/science/article/pii/S2095177925000826

Similar Items