Renal Arterial Network Structure by Computed Tomography, and Nephron-Arterial Interactions
Research output: Contribution to journal › Conference abstract in journal › Research › peer-review
Our goal is to predict interactions that develop among nephrons and between nephrons and the arterial network that supports them. We have developed a computationally simple but physiologically-based mathematical model of the kidney vascular tree to study renal autoregulation in ensembles of interacting nephrons not directly available for experimentation. The study combines computed tomography (CT) of a renal vascular cast at 2 micrometer resolution with simulation. The CT scan showed a bifurcating branching structure with as many as 7 bifurcations between arcuate arteries and the renal surface, with afferent arterioles originating from all arterial structures, including arcuate arteries. The modeling component has 2 novel features: a probability based vascular tree based on the data from the CT images, and a network of arteries supplying several simple whole nephron models coupled electrotonically. The network model predicts dynamical aspects of vascular pressure drops and nephron self-sustained cooperative dynamics.
Original language | English |
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Article number | 808.10 |
Journal | F A S E B Journal |
Volume | 29 |
Issue number | 1 Supplement |
Number of pages | 1 |
ISSN | 0892-6638 |
Publication status | Published - Apr 2015 |
Links
- http://www.fasebj.org/content/29/1_Supplement/808.10.abstract
Final published version
ID: 162217765