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Research Interests for Anita T. Layton

Research Interests: Mathematical physiology; Multiscale numerical methods; Numerical methods for immersed boundary problems.

Mathematical physiology. My main research interest is the application of mathematics to biological systems, specifically, mathematical modeling of renal physiology. Current projects involve (1) the development of mathematical models of the mammalian kidney and the application of these models to investigate the mechanism by which some mammals (and birds) can produce a urine that has a much higher osmolality than that of blood plasma; (2) the study of the origin of the irregular oscillations exhibited by the tubuloglomerular feedback (TGF) system, which regulates fluid delivery into renal tubules, in hypertensive rats; (3) the investigation of the interactions of the TGF system and the urine concentrating mechanism; (4) the development of a dynamic epithelial transport model of the proximal tubule and the incorporation of that model into a TGF framework.

Multiscale numerical methods. I develop multiscale numerical methods---multi-implicit Picard integral deferred correction methods---for the integration of partial differential equations arising in physical systems with dynamics that involve two or more processes with widely-differing characteristic time scales (e.g., combustion, transport of air pollutants, etc.). These methods avoid the solution of nonlinear coupled equations, and allow processes to decoupled (like in operating-splitting methods) while generating arbitrarily high-order solutions.

Numerical methods for immersed boundary problems. I develop numerical methods to simulate fluid motion driven by forces singularly supported along a boundary immersed in an incompressible fluid.

Absorption, Actin Cytoskeleton, Algorithms, Animals, Aquaporin 1, Arterioles, Biological Clocks, Biological Transport, Biological Transport, Active, Blood Pressure, Blood Vessels, Body Water, Calcium, Calcium Channels, Calibration, Calmodulin, Capillary Permeability, cdc42 GTP-Binding Protein, cdc42 GTP-Binding Protein, Saccharomyces cerevisiae, Cell Membrane Permeability, Cell Polarity, Cell Size, Chlorides, Compliance, Computer Simulation, Diet, Diffusion, Electric Stimulation, Endocytosis, Endothelium, Vascular, Energy Metabolism, Enzyme Activation, Exocytosis, Feedback, Feedback, Physiological, Fluorescence Recovery After Photobleaching, Gap Junctions, Glomerular Filtration Rate, Hemodynamics, Homeostasis, Humans, Hyaluronic Acid, Hydrodynamics, Hydrogen-Ion Concentration, Hydrostatic Pressure, Hypertrophy, Immunohistochemistry, Ion Transport, Kidney, Kidney Concentrating Ability, Kidney Diseases, Kidney Glomerulus, Kidney Medulla, Kidney Tubules, Kidney Tubules, Collecting, Kidney Tubules, Proximal, Kinetics, Loop of Henle, Male, Mathematics, Membrane Potentials, Membrane Transport Proteins, Mice, Microvessels, Models, Animal, Models, Biological, Models, Statistical, Models, Theoretical, Muscle Contraction, Muscle Relaxation, Muscle, Smooth, Vascular, Myosin-Light-Chain Kinase, Nephrons, Neural Conduction, Neurons, Afferent, Nonlinear Dynamics, Numerical Analysis, Computer-Assisted, Osmolar Concentration, Oxygen, Oxygen Consumption, Oxyhemoglobins, Periodicity, Permeability, Potassium, Pressure, Protein Binding, Protein Isoforms, Protein Transport, Quail, Rats, Rats, Inbred SHR, Rats, Wistar, Renal Circulation, Saccharomyces cerevisiae, Saccharomyces cerevisiae Proteins, Septins, Signal Transduction, SNARE Proteins, Sodium, Sodium Chloride, Sodium-Potassium-Exchanging ATPase, Stokes flow, Symporters, Systole, Transport Vesicles, Urea, Urine, Vasodilation, Vasomotor System, Water
Areas of Interest:

Mathematical physiology
Scientific computing
Multiscale numerical methods
Fluid-structure interactions

Recent Publications
  1. Ahmed, S; Hu, R; Leete, J; Layton, AT, Understanding sex differences in long-term blood pressure regulation: insights from experimental studies and computational modeling., American Journal of Physiology Heart and Circulatory Physiology, vol. 316 no. 5 (May, 2019), pp. H1113-H1123 [doi[abs]
  2. Fattah, H; Layton, A; Vallon, V, How Do Kidneys Adapt to a Deficit or Loss in Nephron Number?, Physiology (Bethesda, Md.), vol. 34 no. 3 (May, 2019), pp. 189-197 [doi[abs]
  3. Layton, AT, Optimizing SGLT inhibitor treatment for diabetes with chronic kidney diseases., Biological Cybernetics, vol. 113 no. 1-2 (April, 2019), pp. 139-148 [doi[abs]
  4. Layton, AT; Layton, HE, A computational model of epithelial solute and water transport along a human nephron., Plos Computational Biology, vol. 15 no. 2 (February, 2019), pp. e1006108 [doi[abs]
  5. Layton, AT; Sullivan, JC, Recent advances in sex differences in kidney function., American Journal of Physiology. Renal Physiology, vol. 316 no. 2 (February, 2019), pp. F328-F331 [doi]
ph: 919.660.2800
fax: 919.660.2821

Mathematics Department
Duke University, Box 90320
Durham, NC 27708-0320