JardineSerotonin_OnePathCompare

Model number
0200

Four and two region BTEX models without heterogeniety used to compare serotonin uptake in the pulmonary endothelium and beyond. From Jardine et al. 2013 paper.

Description

 A four-region (capillary plasma, endothelium, ISF, cell) blood-tissue exchange model 
 was configured to describe data from serotonin uptake studies in dog lungs. Data from 
 the Multiple Indicator Dilution experiments of Rickaby et al. (JAP 51: 405, 1981), 
 Rickaby et al. (JAP 56:1170,1984), and Malcorps et al. (JAP 57: 720, 1984) were analyzed 
 to distinguish facilitated transport into the endothelial cells (EC) from permeation into 
 the interstitial fluid space via interendothelial clefts. The permeability-surface area 
 products, PS, for the inter-EC clefts were low, about 0.3 ml/(g·min). The serotonin 
 endothelial transporter kinetic parameters were Km = ~ 0.3 uM and Vmax = ~ 4 nmol/(g·min), 
 equivalent to a maximum PS of 13 ml/(g·min), similar to values found by Rickaby et al. 1981 
 using a simpler two-region, plasma/endothelium model not accounting for cleft permeation. 
 Because the cleft PS is so small, less than 10% of that in cardiac capillaries and ~ 2% 
 of the maximum EC serotonin PS, their model fits the data as well as our four-region one. 
 Our estimates of serotonin PS’s for transporters and for inter-EC clefts from fits to the 
 data of Malcorps et al and Rickaby et al 1984 were similar. While this argues that the use 
 of a simpler model to characterize the transporter capacity in lung capillary endothelium 
 gave a good approximation, our deeper analyses provides affirmation  on the tightness of 
 the clefts and the low peri-endothelial permeability for hydrophilic solutes during normal 
 physiological conditions and reveals the weakness in the two region model describing 
 conditions of transporter inhibition and constant infusion of serotonin through the 
 pulmonary vasculature.

 The two models in this JSim project file have no heterogeniety and are simplifications of the 
 four and two region models used to compare the effects of PSg on serotonin uptake. Please see
 models JardineSerotonin_FourRegion (model #0198) and JardineSerotonin_TwoRegion (model #0199) for more details.
 See Notes page for steps to reproduce figures in the Jardine paper (in Press).

 Three curve model used to fit physiological variables to three
 sets of data simulataneously.
 - each separate curve has aaa, bbb, ccc, suffix on the model variable.
 - Example: CMpaaa(t,x): Conc curve one for mother in plasma.
 - 	   CMpbbb(t,x): Conc curve two
 - 	   CMpccc(t,x): Conc curve three
 - PSg: Passive conductance channel between Plasma and ISF
 - PSecl: Concentration dependent transporter between Plasma and EC
 - PSeca: Concentration dependent trans between ISF and EC
 - PSpc:  Conc dependent transporter between ISF and PC
 - Gec: EC consumption, can be set to zero.
 - Gpc: PC consumption

 Constant infusion:
 - Model can accomadate constant infusion of Mother substrate into system.
 - At time t.min the arteriol has a concentration of CMpaaa_init.
 - WHen a bolus is injected then at x1.min = Cin + CMpaaa_init.
 - Can have three different infusion rates, oA four-region (capillary plasma, endothelium, ISF, cell) blood-tissue exchange model was 
 configured to describe data from serotonin uptake studies in dog lungs. Data from the 
 Multiple Indicator Dilution experiments of Rickaby et al. (JAP 51: 405,1981), Rickaby et al. 
 (JAP 56:1170, 1984), and Malcorp et al. (JAP 57: 720, 1984) were analyzed to distinguish 
 facilitated transport into the endothelial cells (EC) from permeation into the interstitial 
 fluid space via interendothelial clefts. The permeability-surface area products, PS, for 
 the inter-EC clefts were low, about 0.2 ml/(g*min). The serotonin endothelial transporter 
 kinetic parameters were Km = ~ 0.3 M and Vmax = ~ 4 nmol/(g*min) , equivalent to a PS of 
 20 ml/(g*min), similar to values found by Rickaby et al. 1981 using a simpler two-region, 
 plasma/endothelium model not accounting for cleft permeation. Because the cleft PS is so 
 small, less than 10% of that in cardiac capillaries and ~ 1% of the EC serotonin PS, their 
 model fits the data as well as our four-region one. Our estimates of serotonin PS’s for 
 transporters and for inter-EC clefts from fits to the data of Malcorps et al and Rickaby 
 et al 1984 were similar. While this argues that the use of a simpler model by Linehan, 
 Dawson et al (e.g Linehan et al: Whole Organ Approaches to Cellular Mechanism: p.427, 1998) to 
 characterize the transporter capacity in lung capillary endothelium gave a good approximation, 
 our deeper analyses provide affirmation, plus new information on the tightness of the clefts 
 and the low peri-endothelial permeability for hydrophilic solutes.ne for each curve.
 - Assumption: THere is no uptake of Mother in Arteriols.
 - Note: if just want system at a const Mother conc then modify the BCs
 - so that:  when (t=t.min) { CMvaa1  = 0; }   becomes:
 - 	when (t=t.min) { CMvaa1  = CMpaaa_init; }
 
 Competitve inhibitor on PSecl, PSeca:
 - Ki is the inhibitor constant (k_i/ki) , where k_i is the off rate of the 
   reaction:     ki
           E + I <-> EI
                 k_i 

Other models in Jardine 2012 paper:

Equations

The equations for this model may be viewed by running the JSim model applet and clicking on the Source tab at the bottom left of JSim's Run Time graphical user interface. The equations are written in JSim's Mathematical Modeling Language (MML). See the Introduction to MML and the MML Reference Manual. Additional documentation for MML can be found by using the search option at the Physiome home page.

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References
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Key terms
serotonin
endothelium
transport modeling
pulmonary capillary permeability
convection-diffusion
capillary-tissue exchange
hydroxy-tryptamine receptors
Data
PDE
Publication
Acknowledgements

Please cite https://www.imagwiki.nibib.nih.gov/physiome in any publication for which this software is used and send one reprint to the address given below:
The National Simulation Resource, Director J. B. Bassingthwaighte, Department of Bioengineering, University of Washington, Seattle WA 98195-5061.

Model development and archiving support at https://www.imagwiki.nibib.nih.gov/physiome provided by the following grants: NIH U01HL122199 Analyzing the Cardiac Power Grid, 09/15/2015 - 05/31/2020, NIH/NIBIB BE08407 Software Integration, JSim and SBW 6/1/09-5/31/13; NIH/NHLBI T15 HL88516-01 Modeling for Heart, Lung and Blood: From Cell to Organ, 4/1/07-3/31/11; NSF BES-0506477 Adaptive Multi-Scale Model Simulation, 8/15/05-7/31/08; NIH/NHLBI R01 HL073598 Core 3: 3D Imaging and Computer Modeling of the Respiratory Tract, 9/1/04-8/31/09; as well as prior support from NIH/NCRR P41 RR01243 Simulation Resource in Circulatory Mass Transport and Exchange, 12/1/1980-11/30/01 and NIH/NIBIB R01 EB001973 JSim: A Simulation Analysis Platform, 3/1/02-2/28/07.