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Development of Mathematical Models for Diabetic Kidney Disease

Teaser:
Startdatum: 11.06.2019 - 16:00
Enddatum: 11.06.2019 - 17:30
Adresse: MZH 6210
Organisator/Ansprechpartner: Prof. Jens Rademacher, Prof. Christine Knipping, (0421) 218-63745, (0421) 218-63721
Redner:
  • Prof. Hari Shankar Mahato / IIT Kharagpur, Indien

Type II Diabetes is the most common endocrine disease affecting 250 million
people worldwide. Obesity has been identified as the principal risk factor
associated with the rising prevalence of type II diabetes, which is predicted to
reach 9% of the US population by 2025. Diabetic nephropathy is characterized by
progressive albuminuria, which is the major cause of end-stage kidney disease ,
declining kidney function, and increased risk for cardiovascular disease.
The basic physiological processes of kidney function (filtration/reabsorption of
sodium, water, and other electrolytes leading to control of sodium balance and
blood pressure) are consistent across different species. In this talk first of all I
would show that using an existing systems model of renal hemodynamics, we can
simulate the phenotypic behavior (e.g., glomerular filtration rate [GFR], cardiac
output, blood pressure, daily sodium excretion, etc.). After modeling the normal
mice, I would show that our model can also predict kidney function of a diabetic
mice. I would also show that how different drugs affects the disease progression
and simulate their responses. Finally, I would show some results where our
model can predict the kidney disease progression in humans.
These results confirm that this mechanistic model provides a sufficiently valid
description of kidney function across different species. The results also enables
us to further characterize differences in the timecourse of kidney disease
progression, and use responses to benchmarking therapies and also to validate
the model’s translational ability of drug therapies.
References
1. H.S. Mahato et. al., Mathematical model of hemodynamic mechanisms and
consequences of glomerular hypertension in diabetic mice. Nature Systems
Biology and Applications, Vol 5, Issue 2, 2019
                                                                         Gast der Arbeitsgruppe Prof. Böhm