Biophysical Model of Ion Transport across Human Respiratory Epithelia Allows Quantification of Ion Permeabilities  Guilherme J.M. Garcia, Richard C. Boucher,

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Biophysical Model of Ion Transport across Human Respiratory Epithelia Allows Quantification of Ion Permeabilities  Guilherme J.M. Garcia, Richard C. Boucher, Timothy C. Elston  Biophysical Journal  Volume 104, Issue 3, Pages 716-726 (February 2013) DOI: 10.1016/j.bpj.2012.12.040 Copyright © 2013 Biophysical Society Terms and Conditions

Figure 1 (A) Schematic diagram of the main pathways of ion and water transport in respiratory epithelia, all of which are included in the model. The paracellular pathway allows the diffusion of ions and water between the apical and basolateral compartments. The basolateral membrane expresses the Na-K pump, Cl− channels, K+ channels, and the Na-K-2Cl cotransporter. The apical membrane expresses Na+ channels, Cl− channels, and K+ channels. Both basolateral and apical membranes are permeable to water. (B–F) Parameter fitting was accomplished using analytical expressions for the steady-state short-circuit current (ISC) and membrane potential at short-circuit condition (Vm) to perform an efficient search of the parameter space. (B and C) Triplets of apical Na+ permeability, apical K+ permeability, and basolateral Cl− permeability {paNa, paK, pbCl} that reproduce the experimental ISC and Vm as predicted by Eqs. 10 and 11 (solid lines). Some triplets {paNa, paK, pbCl} are associated with negative values of other ion permeabilities, which are physically unrealistic (dashed lines). The triplet {1.6, 0.09, 1.4} × 10−8 m/s obtained with a Monte Carlo method (see the Supporting Material) is shown for comparison (symbols). (D and E) By varying the ratios rK = pbK/paK and rCl = pbCl/paCl and simulating various experimental conditions (see Table S3), the pair {rK, rCl} that minimized the score function SSD was identified for each set of paracellular permeabilities {ppNa, ppCl}. (F) To estimate the Na+ and Cl− paracellular permeabilities, these parameters were varied under the hypotheses ppCl = ppNa or ppCl = (DCl/DNa)ppNa = 1.53 ppNa. Simulations were run for various experimental conditions (see Table S3) and the best fits were obtained for ppNa = 2.5–3.0 × 10−8 m/s. Biophysical Journal 2013 104, 716-726DOI: (10.1016/j.bpj.2012.12.040) Copyright © 2013 Biophysical Society Terms and Conditions

Figure 2 Model results (solid lines) are compared with experimental data (symbols) from open-circuit Ussing Chamber experiments using cultures of human nasal epithelium (HNE) (18,19). (Dashed lines) Prediction bands (two SDs around ensemble average) obtained with a Monte Carlo method (see the Supporting Material). Addition of drugs or changes in buffer solution occurred at 10 min (see vertical line). (A) Effect of inhibition of apical Na+ channels with amiloride. (B) Inhibition of the Na-K-2Cl cotransporter with bumetanide. (C) Reduction of basolateral Na+ from 140 mM to 3 mM by choline+ replacement. (D) Reduction of basolateral Cl− from 119.6 mM to 3 mM by gluconate− replacement. Biophysical Journal 2013 104, 716-726DOI: (10.1016/j.bpj.2012.12.040) Copyright © 2013 Biophysical Society Terms and Conditions

Figure 3 Model predictions (solid lines) are compared with experimental data (symbols) from open-circuit Ussing Chamber experiments using cultures of human nasal epithelium (HNE) (18,19). (Dashed lines) Prediction bands (two SDs around ensemble average) obtained with a Monte Carlo method (see the Supporting Material). Addition of drug or changes in buffer solution occurred at 10 min (see vertical line). (A) Inhibition of the Na-K pump with ouabain. (B) Reduction of apical Na+ from 140 mM to 3 mM by choline+ replacement (18,19). (C) Reduction of apical Cl− from 119.6 mM to 3 mM by gluconate− replacement (18,19). Biophysical Journal 2013 104, 716-726DOI: (10.1016/j.bpj.2012.12.040) Copyright © 2013 Biophysical Society Terms and Conditions