In silico prediction of optimal multifactorial intervention in chronic kidney disease

In silico prediction of optimal multifactorial intervention in chronic kidney disease

Abstract Background Chronic kidney disease (CKD) contributes to global morbidity and mortality. Early, targeted intervention can help mitigate its impact. CK273 is a urinary peptide classifier previously validated in a prospective clinical trial for the early detection of nephropathy. We hypothesize...

Full description

Saved in:
Bibliographic Details
Main Authors: Agnieszka Latosinska, Ioanna K. Mina, Thi Minh Nghia Nguyen, Igor Golovko, Felix Keller, Gert Mayer, Peter Rossing, Jan A. Staessen, Christian Delles, Joachim Beige, Griet Glorieux, Andrew L. Clark, Joost P. Schanstra, Antonia Vlahou, Karlheinz Peter, Ivan Rychlík, Alberto Ortiz, Archie Campbell, Harald Rupprecht, Frederik Persson, Harald Mischak, Justyna Siwy
Format: Article
Language:English
Published: BMC 2025-08-01
Series:Journal of Translational Medicine
Subjects:
Chronic kidney disease
Clinical proteomics
Drug response prediction
Optimizing intervention
Urine peptides
Online Access:https://doi.org/10.1186/s12967-025-06977-3
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items