Multi-scalar data integration links glomerular angiopoietin-tie signaling pathway activation with progression of diabetic kidney disease

Abstract excerpt

Diabetes is the leading cause of chronic kidney disease. Prognostic biomarkers reflective of underlying molecular mechanisms are critically needed for effective management of diabetic kidney disease (DKD). In the Clinical Phenotyping and Resource Biobank study, an unbiased, machine learning approach identified a three-marker panel from plasma proteomics which, when added to standard clinical parameters, improved t...

Topics

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• Genome-Wide Association Study
• Glomerular Filtration Rate
• Kidney Failure, Chronic
• Polymorphism, Single Nucleotide
• Renal Insufficiency, Chronic
• Sequence Analysis, RNA
• Single-Cell Analysis
• Transcriptome

Identifiers and source

Literature Corpus work

3328ab48-ae72-55bf-94bd-8be26cb1d518

DOI

10.1101/2021.12.21.21267377