Mathematical modeling of renal hemodynamics in physiology and pathophysiology

被引：24

作者：

Sgouralis, Ioannis ^{[1
]}

Layton, Anita T. ^{[2
]}

机构：

[1] Univ Tennessee, Natl Inst Math & Biol Synth, Knoxville, TN 37996 USA

[2] Duke Univ, Dept Math, Durham, NC 27708 USA

来源：

MATHEMATICAL BIOSCIENCES | 2015年 / 264卷

基金：

美国国家科学基金会;

关键词：

Kidney; Blood flow; Myogenic response; Tubuloglomerular feedback; Glomerular filtration; Nonlinear dynamics; BLOOD-FLOW REGULATION; THICK ASCENDING LIMB; FEEDBACK-MEDIATED DYNAMICS; SPONTANEOUSLY HYPERTENSIVE-RATS; PROXIMAL INTRATUBULAR PRESSURE; TUBULOGLOMERULAR FEEDBACK; MYOGENIC RESPONSE; AFFERENT ARTERIOLE; GLOMERULAR ULTRAFILTRATION; BIFURCATION-ANALYSIS;

D O I：

10.1016/j.mbs.2015.02.016

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

In addition to the excretion of metabolic waste and toxin, the kidney plays an indispensable role in regulating the balance of water, electrolyte, acid-base, and blood pressure. For the kidney to maintain proper functions, hemodynamic control is crucial. In this review, we describe representative mathematical models that have been developed to better understand the kidney's autoregulatory processes. We consider mathematical models that simulate glomerular filtration, and renal blood flow regulation by means of the myogenic response and tubuloglomerular feedback. We discuss the extent to which these modeling efforts have expanded the understanding of renal functions in health and disease. (C) 2015 Elsevier Inc. All rights reserved.

引用

页码：8 / 20

页数：13

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