ArticleBulletin of mathematical biology2013
Control and modulation of fluid flow in the rat kidney.
Article in Bulletin of mathematical biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 24 citations in OpenAlex.
- Quantitative Assessment of Biological Dynamics with Aggregate Data.Bulletin of mathematical biology · 2025Article
- An in silico validation framework for quantitative DCE-MRI techniques based on a dynamic digital phantom.Medical image analysis · 2021Article
- Tissue Chips and Microphysiological Systems for Disease Modeling and Drug Testing.Micromachines · 2021Review
- Sensing of tubular flow and renal electrolyte transport.Nature reviews. Nephrology · 2020Review
- Renal medullary and urinary oxygen tension during cardiopulmonary bypass in the rat.Mathematical medicine and biology : a journal of the IMA · 2017Article
- Transfer Function Analysis of Dynamic Blood Flow Control in the Rat Kidney.Bulletin of mathematical biology · 2016Article
- Conduction of feedback-mediated signal in a computational model of coupled nephrons.Mathematical medicine and biology : a journal of the IMA · 2016Article
- Using mathematical models to understand metabolism, genes, and disease.BMC biology · 2015Article
- Mathematical modeling of renal hemodynamics in physiology and pathophysiology.Mathematical biosciences · 2015Article
- Theoretical assessment of renal autoregulatory mechanisms.American journal of physiology. Renal physiology · 2014Article
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2 authors at 1 institution in 1 country.
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Abstract
We have developed a mathematical model of the rat's renal hemodynamics in the nephron level, and used that model to study flow control and signal transduction in the rat kidney. The model represents an afferent arteriole, glomerular filtration, and a segment of a short-loop nephron. The model afferent arteriole is myogenically active and represents smooth muscle membrane potential and electrical coupling. The myogenic mechanism is based on the assumption that the activity of nonselective cation channels is shifted by changes in transmural pressure, such that elevation in pressure induces vasoconstriction, which increases resistance to blood flow. From the afferent arteriole's fluid delivery output, glomerular filtration rate is computed, based on conservation of plasma and plasma protein. Chloride concentration is then computed along the renal tubule based on solute conservation that represents water reabsorption along the proximal tubule and the water-permeable segment of the descending limb, and chloride fluxes driven by passive diffusion and active transport. The model's autoregulatory response is predicted to maintain stable renal blood flow within a physiologic range of blood pressure values. Power spectra associated with time series predicted by the model reveal a prominent fundamental peak at ∼165 mHz arising from the afferent arteriole's spontaneous vasomotion. Periodic external forcings interact with vasomotion to introduce heterodynes into the power spectra, significantly increasing their complexity.
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