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Early detection, molecular mechanisms and therapeutic interventions in chronic kidney disease

CORDIS · observation · Publication date unknown

accurate due to interindividual differences in body composition and compensation for early kidney damage as remaining nephrons increase their function. - Using a unique combination of multi-omics and machine learning approaches in human cohorts and innovative animal models, I will dissect pathways that drive nephron number and enable its quantification. Concrete objectives are to: 1) Develop a high-throughput method to quantify nephron number in large human cohorts and a novel rat model of gradual nephron reduction 2) Construct and validate unbiased and hypothesis-driven nephron number algorithms based on kidney-derived proteins, lipids and metabolites in blood and urine 3) Demonstrate that nephron number algorithms enable earlier and more accurate CKD detection 4) Provide proof of principle that nephron number-triggered therapy prevents or halts CKD Impact: This project will lead to a new CKD classification, based on both structure and function. Identification of mechanisms driving nephron number will boost drug development and regenerative medicine towards nephron-preserving ther

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recordType

award

status

SIGNED

region

EU

value

2000000

unit

EUR