Anita T. Layton

Anita T. Layton
  • Professor in the Department of Mathematics
  • Professor of Biomedical Engineering (Secondary)
  • Professor in Medicine (Secondary)
External address: 213 Physics Bldg, Durham, NC 27708
Internal office address: Box 90320, Durham, NC 27708-0320
Phone: (919) 660-6971

Research Areas and Keywords

Biological Modeling
mathematical biology, mathematical physiology, mathematical modeling, kidney physiology, renal hemodynamics, diabetes, multiscale modeling, fluid-structure interactions, computational fluid dynamics, numerical partial differential equations, feedback control, systems biology
Computational Mathematics
mathematical biology, mathematical physiology, mathematical modeling, kidney physiology, renal hemodynamics, diabetes, multiscale modeling, fluid-structure interactions, computational fluid dynamics, numerical partial differential equations, feedback control, systems biology
PDE & Dynamical Systems
mathematical biology, mathematical physiology, mathematical modeling, kidney physiology, renal hemodynamics, diabetes, multiscale modeling, fluid-structure interactions, computational fluid dynamics, numerical partial differential equations, feedback control, systems biology

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.

Education & Training
  • Ph.D., University of Toronto (Canada) 2001

  • M.S., University of Toronto (Canada) 1996

  • B.A., Duke University 1994

  • B.S., Duke University 1994

Selected Grants

Bioinformatics and Computational Biology Training Program awarded by National Institutes of Health (Mentor). 2005 to 2021

Unraveling Kidney Physiology, Pathophysiology & Therapeutics: A Modeling Approach awarded by National Institutes of Health (Principal Investigator). 2016 to 2020

Collaborative Research: NIGMS: Comparitive Study of Desert and non-Desert Rodent Kidneys awarded by National Science Foundation (Principal Investigator). 2013 to 2019

EMSW21-RTG: awarded by National Science Foundation (Co-Principal Investigator). 2010 to 2017

Modeling Solute Transport and Urine Concentrating Mechanism in the Rat Kidney awarded by National Institutes of Health (Principal Investigator). 2010 to 2016

Modeling Fluid Dynamics and Solute Transport in the Kidney awarded by National Science Foundation (Principal Investigator). 2007 to 2012

Workshop on Fluid Motion awarded by National Science Foundation (Principal Investigator). 2010 to 2011

FAN 2010 awarded by National Science Foundation (Co-Principal Investigator). 2010 to 2011

A Conference on Applications of Analysis to Mathematical Biology awarded by National Science Foundation (Principal Investigator). 2007 to 2008

ADVANCE Fellows Award: Mathematical Modeling of Renal Physiology awarded by National Science Foundation (Principal Investigator). 2004 to 2007

Fields, B, and Page, K. "Preface." January 1, 2015.

Layton, AT. "Sweet success? SGLT2 inhibitors and diabetes." American Journal of Physiology. Renal Physiology 314.6 (June 2018): F1034-F1035. Full Text

Leete, J, Gurley, S, and Layton, AT. "Modeling sex differences in the renin angiotensin system and the efficacy of antihypertensive therapies (Accepted)." Computers and Chemical Engineering 112 (April 6, 2018): 253-264. Full Text

Layton, AT, Edwards, A, and Vallon, V. "Renal potassium handling in rats with subtotal nephrectomy: modeling and analysis." American Journal of Physiology. Renal Physiology 314.4 (April 2018): F643-F657. Full Text

Layton, AT, and Vallon, V. "Cardiovascular benefits of SGLT2 inhibition in diabetes and chronic kidney diseases." Acta Physiologica (Oxford, England) 222.4 (April 2018): e13050-null. Full Text

Wei, N, and Layton, AT. "Theoretical assessment of the Ca2+ oscillations in the afferent arteriole smooth muscle cell of the rat kidney." International Journal of Biomathematics 11.03 (April 2018): 1850043-1850043. Full Text

Edwards, A, and Layton, AT. "Cell Volume Regulation in the Proximal Tubule of Rat Kidney : Proximal Tubule Cell Volume Regulation." Bulletin of mathematical biology 79.11 (November 2017): 2512-2533. Full Text

Burt, T, Noveck, RJ, MacLeod, DB, Layton, AT, Rowland, M, and Lappin, G. "Intra-Target Microdosing (ITM): A Novel Drug Development Approach Aimed at Enabling Safer and Earlier Translation of Biological Insights Into Human Testing." Clinical and translational science 10.5 (September 2017): 337-350. (Review) Full Text

Sgouralis, I, Evans, RG, and Layton, AT. "Renal medullary and urinary oxygen tension during cardiopulmonary bypass in the rat." Mathematical medicine and biology : a journal of the IMA 34.3 (September 2017): 313-333. Full Text

Chen, Y, Sullivan, JC, Edwards, A, and Layton, AT. "Sex-specific computational models of the spontaneously hypertensive rat kidneys: factors affecting nitric oxide bioavailability." American Journal of Physiology. Renal Physiology 313.2 (August 2017): F174-F183. Full Text

Layton, AT, Edwards, A, and Vallon, V. "Adaptive changes in GFR, tubular morphology, and transport in subtotal nephrectomized kidneys: modeling and analysis." American journal of physiology. Renal physiology 313.2 (August 2017): F199-F209. Full Text

Pages

Burt, T, Rouse, DC, Lee, K, Wu, H, Layton, AT, Hawk, TC, Weitzel, DH, Chin, BB, Cohen-Wolkowiez, M, Chow, S-C, and Noveck, RJ. "Intraarterial Microdosing: A Novel Drug Development Approach, Proof-of-Concept PET Study in Rats." November 2015. Full Text

Burt, T, Wu, H, Layton, A, Rouse, D, Chin, B, Hawk, T, Weitzel, D, Cohen-Wolkowiez, M, Chow, S, and Noveck, R. "Intra-Arterial Microdosing (IAM), a novel Drug development approach, proof of concept in Rats." August 2015. Full Text

Pages

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