MULTISCALAR DATA INTEGRATION LINKS GLOMERULAR ANGIOPOIETIN SIGNALING PATHWAY ACTIVATION WITH PROGRESSION OF DIABETIC KIDNEY DISEASE

摘要

Introduction: Diabetes is the primary cause of chronic kidney disease (CKD) worldwide. Current clinical parameters lack specificity or sensitivity in predicting diabetic kidney disease (DKD) progression. Our study aims to identify prognostic biomarkers and understand the molecular mechanisms underlying the association of biomarkers and DKD progression through plasma proteomic and kidney transcriptomic data integrative analysis.