Three young researchers within the Renal Disorders theme of the Radboudumc have been awarded with a Kolff start-up post doc grant of the Dutch Kidney Foundation (Nierstichting). The Kolff start-up program aims to support young talented researchers who have just completed their PhD. This prestigious grant allows them to perform a two-year research project within the field of nephrology. The award of three grants to the Radboudumc underlines the strength of the Renal Disorders theme in Nijmegen.
Jeroen de Baaij (left)- The Magnesium Miracle: Preventing Calcification in Patients with CKD?
Cardiovascular disease is the leading cause of death in patients with chronic kidney disease (CKD). Hyperphosphatemia and hypercalcemia, which are the main features of mineral bone disorder in CKD patients, contribute to vascular calcification of the main arteries. In his research project, Jeroen de Baaij proposes that Mg2+ plays an important role in preventing vascular calcification. He will study the role of Mg2+ in calcification of smooth muscle cells in the vessel wall.
Rachel van Swelm (middle)- The role of iron in progression of proteinuric tubulointerstitial injury in an experimental model for focal segmental glomerulosclerosis: mechanisms and interventions.
Proteinuria is the most important risk factor for disease progression of CKD. Since current treatments are insufficient for a large number of patients, new insights to prevent disease progression are required. Iron deposition has been observed in kidney biopsies of patients with CKD, as well as in a mouse model of persistent proteinuria: the Thy-1.1 mouse. Rachel van Swelm will investigate the role of filtered protein-bound iron in the progression of proteinuria-mediated tubulointerstitial injury using the Thy-1.1 mouse model.
Jan van den Brand (right)-Chronic kidney disease causes progressive decline of kidney function.
Every patient has a unique trajectory of kidney function decline. It can accelerate or slow down. This non-linearity makes studying causes of CKD and predicting its progression difficult. Jan will use novel statistical models to describe and predict commonly occurring trajectories of kidney function decline. These trajectories give a more informative patient phenotype. Moreover, the trajectory for an individual patient can be extrapolated to make a detailed prognosis.
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