Application of Physiology - Disease-Drug Model of Kidney Disease

While the structure and basic physiology of the kidney is well understood, renal function is complex, involving multiple intrinsic and neurohormonal control mechanisms to regulate sodium concentrations and other hemodynamic variables. These complex mechanisms, and their interactions with the larger cardiovascular system, make it challenging to intuitively understand renal function and to interpret biomarker responses to therapies that act on the kidney. Mathematical modeling of renal function provides a means for capturing existing knowledge and data about renal physiology and feedback mechanisms, as well as pathophysiological mechanisms of disease and pharmacologic action of drugs, in a quantitative framework. In this webinar, we will demonstrate how a physiology-disease-drug model of renal function can be used to provide an integrative interpretation of preclinical and clinical data, to provide insights on relevant pathophysiological mechanisms of the disease we are trying to treat, to aid in translating from drug mechanism-of-action to systemic responses and long-term effects, and to help identify characteristics of patients most likely to benefit from a particular class of therapies.