الفهرس 
TitleOnly 14 pages are availabe for public view
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Abstract
Kidneys are important organs that maintain our body options; they control volumes of fluids in the blood, the balance between acid and base, concentrations of fluids, and remove toxins. The kidneys are susceptible to various problems because of all of the kidneys’ vital functions and the toxins they encounter.. CKD is a chronic kidney disease in which the kidneys do not function adequately. It’s a prevalent problem that’s commonly linked to ageing. It can affect anyone, however it is more common among black and south Asian people. CKD can deteriorate with time, and the kidneys may eventually quit working entirely, but this is rare. Many persons with chronic kidney disease (CKD) live extended lives.
The goal of this research is to create a nonlinear mathematical analysis of size-selective kidney functions in health and disease using least-square fitting. In healthy Munich-Wistar (MW), control Munich-Wistar Frömter (MWF), and female Sprague-Dawley rat strains subjected to micropuncture and morphometrical analysis, we built a Matlab model to suit the experimental data of fractional clearance of neutral graded-size macromolecules. In the MW, MWF, and Sprague-Dawley rat strains, we employed the fiber-matrix model to interpret previously published experimental fractional clearance data of neutral test macromolecules. The fiber-matrix model was able to represent the glomerular permselective function and forecast the impact of hemodynamic and morphometric variables on GBM composition in all rat strains based on the fitting results. The model can predict the relative effect of changes in hemodynamic and morphometric variables caused by renal diseases or pharmacological therapy on the GBM fibre matrix composition, as determined by Lf and Rf, which could be used as diagnostic metrics for human renal function. The findings also show that the fiber-matrix model is as good as conventional pore models with the same number of configurable parameters for reproducing fractional clearance data in vivo. It is, nevertheless, more realistic and may provide adaptable geometrical solutions for the GBM in a variety of functional states.