Tubuloglomerular Feedback System

Anita Layton, Harold Layton, and Leon Moore


The TGF system is a key regulator of filtration rate and of water and electrolyte delivery to the distal nephron. In the 1980's, experiments in rats by Leyssac and colleagues demonstrated that nephron flow and related variables may exhibit regular oscillations with a period of ~30 s. Mathematical models have indicated that these regular oscillations are TGF-mediated and that they arise from a bifurcation: if feedback-loop gain is sufficiently large, and if the delay in TGF signal transmission at the juxtaglomerular apparatus is sufficiently long, then the stable state of the system is a regular oscillation and not a time-independent steady state.

Previous modeling studies have indicated that two dimensionless parameters, \gamma and \tau, play a key role in determining the stable state of the TGF system. The feedback-loop gain \gamma is the product of two factors: (1) the slope of the TGF response curve, and (2) the magnitude of the luminal [Cl-] profile alongside the macula densa. The delay parameter \tau is the ratio of two delays: \tau = D/T, where D is the delay in TGF signal transmission across the juxtaglomerular apparatus and T is the steady-state transit time of fluid through the thick ascending limb. Analysis of the model leads to a characteristic equation and a bifurcation diagram, which predict stable and oscillatory solutions in different parameter regimes.

Bifurcation diagram
Left: Bifurcation diagram for hypertensive rats. LCO, limit-cycle oscillations. In the region labeled ``Stable Steady State,'' (e.g., point A) the only stable solution is the time-independent steady state. In region labeled ``Stable 2-f LCO'' (e.g., point C) stable oscillations have a frequency about twice that found in region labeled ``Stable 1-f LCO'' (e.g., point B). Gray disk corresponds to the likely parameter range for hypertensive rats.

Using our model, we sought to explain the irregular oscillations exhibited by the TGF system in hypertensive rats. These oscillations appear to have characteristics of deterministic chaos. Already, our model has predicted that coupled nephrons (i.e., nephrons that have the capability to influence each other's glomerular filtration rate) having sufficiently different parameters can produce a variety of complex oscillatory waveforms. The waveforms and power spectra arising in our model of coupled nephrons are similar to complex waveforms and corresponding power spectra from hypertensive rats. Thus, we hypothesize that irregular oscillations in hypertensive rats are attributable, at least in part, to mixed-mode oscillations in coupled nephrons.


Related Publications

  • Anita T. Layton, Leon C. Moore, and Harold E. Layton, "Multistability in Tubuloglomerular Feedback and Spectral Complexity in Spontaneously Hypertensive Rats," American Journal of Physiology Renal Physiology, Vol 291, pp. F79-F97, 2006.
  • Anita T. Layton, Leon C. Moore, and Harold E. Layton, "Multistable dynamics mediated by tubuloglomerular feedback in a model of coupled nephrons," Bull Math Biol, Vol. 71, No. 3, pp. 515-555, 2009.
  • Anita T. Layton, Leon C. Moore, and Harold E. Layton, "Tubuloglomerular Feedback signal transduction in a compliant thick ascending limb," Am. J. Physiol. Renal Physiol., submitted.
  • Anita T. Layton and Aurelie Edwards, "Tubuloglomerular feedback signal transduction in a short loop of Henle," Bull. Math. Biol. , Vol. 72, No. 1, pp. 34-62, 2010.


Last updated: September 3, 2006