analysis of cardiovascular dynamics in pulmonary hypertensive c57bl6/j mice

1
Shivendra G Tewari 1 , Scott M Bugenhagen 2 , Zhijie Wang 3 , David A Schreier 3 , Brian E Carlson 1 , Naomi C Chesler 3 , Daniel A Beard 1 1 Molecular & Integrative Physiology, University of Michigan, Ann Arbor, MI. 2 Department of Physiology, Medical College of Wisconsin, Milwaukee, WI. 3 Department of Biomedical Engineering, University of Wisconsin, Madison, WI. Analysis of cardiovascular dynamics in pulmonary hypertensive C57BL6/J mice Abstract A computer model was used to analyze data on cardiac and vascular mechanics from C57BL6/J mice exposed to 0 (n = 4), 14 (n = 6), 21 (n = 8) and 28 (n = 7) days of chronic hypoxia and treatment with the VEGF inhibitor SUGEN (HySu). Data on right ventricular pressure and volume and systemic arterial pressure obtained before, during, and after vena cava occlusion were analyzed using a mathematical model of realistic ventricular mechanics coupled with a simple model of the pulmonary and systemic vascular systems. The model invokes a total of 26 adjustable parameters, which were estimated based on least-squares fitting of the data. Of the 26 adjustable parameters, 14 were set to globally constant values for the entire data set. It was necessary to adjust the remaining 12 parameters to match data from all experimental groups. Of these 12 individually adjusted parameters, three parameters representing pulmonary vascular resistance, pulmonary arterial elastance, and pulmonary arterial narrowing were found to significantly change in HySu-induced remodeling. Model analysis shows a monotonic change in these parameters as disease progressed, with approximately 130% increase in pulmonary resistance, 70% decrease in unstressed pulmonary arterial volume, and 110% increase in pulmonary elastance in the 28-day group compared to the control group. These changes are consistent with prior experimental measurements. Furthermore, the 28-day data could be explained only after increasing the passive elastance of the right free wall compared to the value used for the other data sets, which is likely a consequence of the increased RV collagen content found experimentally. These findings may indicate a compensatory remodeling followed by pathological remodeling of the right ventricle in HySu-induced pulmonary hypertension. Background Schematics showing the three important components of the cardiovascular model. A. Cross-section of the ventricular composite. The TriSeg model (2) is used to have realistic ventricular interaction. It assumes right free wall, septum, and left free wall as three thick walled spherical segments intersecting at a junction margin, thus forming the right and left ventricular cavity. Systemic (B) and pulmonary (C) circulation are modeled using a simple lumped parameter model (3). The capacitors, resistors, and diodes imitate elastic chambers, pressure drop, and valves. The Cardiovascular model The myofiber model is based on a heuristic relation which converts natural myofiber strain (ε f ) to Cauchy myofiber stress (σ f ). It is based on Hill’s three element muscle model (4).The time dependent behavior is simulated using two state variables, namely, L sc (contractile element length) and C (mechanical activation) which are given by the following set of equations: A representative 0-day hypoxic mice data set (thin solid line) used for determining control parameter estimates. The model simulations are shown as dashed line. A – C: RV pressure, RV volume and Aortic pressure. D: Heart-rate in beats per minute used to modify excitation – contraction of heart on a beat-to-beat basis. Results Axis of rotational symmetry V w,LW V w,SW V w,RW RW SW LW O Ventricular Interaction B. C. A. About 15,000 deaths per year are ascribed to pulmonary hypertension. Only 50 percent of people survive three years after diagnosis with pulmonary arterial hypertension (PAH). A recent study by Wang et al. (1) catheterized a novel murine model of PAH that is relevant to pathogenesis of human PAH and recorded right ventricle pressure, volume and systemic pressure data. We analyzed their experimental data using a realistic model of heart coupled with a simple model of blood circulation to quantify the changes in the pulmonary circulation and right ventricle during continued exposure to HySu. Beat-to-beat changes in mechanical activation variable of the sarcomere model are accounted by scaling the time-constants by a factor , = HR human /HR mouse (where HR human is beats per second for human, chosen to be 1.17 beats per second) and HR mouse is the beats per second for an individual mouse derived from systemic pressure measurements. Active myofiber stress is calculated by an expression which depends on the two state variables i.e. L sc and C. Passive myofiber stress that is crucial to explain 28-day group is given by the following expression: The lumped parameter model used to simulate blood flow through veins and arteries is based on hydraulic analogy of the electrical circuit. Flow between compartment 1 to compartment 2 is calculated by: Volume and pressure in a compartment are calculated using the following expressions: where C x is the compliance and Vd x represents an unstressed volume of compartment x. Baseline RV pressure, RV volume, and systemic pressure of a representative 14-day hypoxic mice shown for one- second duration. A. Systemic pressure recording (thin solid line) and model simulation (thick dashed line). B. Heart-rate during the period. C. RV pressure data (thin solid line; lower graph) and model (thick dashed line), and RV volume data (thin solid line; upper graph) and model (thick dashed line). Conclusions Observed increases in pulmonary arterial resistance associated with PAH are accompanied by commensurate increases in pulmonary arterial stiffness. Further, model simulation suggest R PVB and E PA primarily contribute to RV afterload and preload, respectively. Model analysis predicts a significant inward remodeling of the pulmonary arteries that becomes apparent only in the later stage of PAH, i.e., 28- day group. Model analysis predicts substantial stiffening of RV in the 28-day group, suggesting a degree of maladaptive remodeling in this group. This substantial increase in passive stiffness in the 28-day group is associated with a predicted drop in the mean of RV free wall stroke work density per beat. RV pressure (A – C) and RV volume (D – F) data (thin solid line) with model simulations (thick dashed line) shown for a representative 0-day hypoxic mice. R PVB , E PA and Vd PA as a function of increasing days of hypoxia and treatment with HySu. The closed circles represent mean (with standard error) taken over 0-day (n=4), 14-day (n=6), 21-day (n=8), and 28-day (n=7) hypoxic mice group. The decrease in Vd PA and increase in E PA is statistically significant only for the 28-day group (p < 0.001). Modified myofiber stress-strain relationship for the RW mechanics of a 28-day hypoxic individual (dashed line) as compared to other-day individuals (solid line). Positive strain is following tensile stress and negative under compressive stress. Stroke work density of RW which is defined as contractile myofiber work per unit of tissue volume per beat. The closed circles represent mean (with standard error) taken over 0-day, 14-day, 21-day, and 28-day hypoxic mice group. RV pressure (A – C) and RV volume (D – F) data (thin solid line) with model simulations (thick dashed line) shown for a representative 28-day hypoxic mice. References 1. Wang, Z., Schreier, D., Hacker, T.A., Chesler, N.C. (submitted). 2. Lumens, J., Delhaas, T., Kirn, B., and Arts, T. (2009). Ann Biomed Eng 37: 2234-2255. 3. Smith, B.W., Chase, J.G., Nokes, R.I., Shaw, G.M., and Wake, G. (2004). Med Eng Phys 26: 131-139. 4. Hill, A.V. (1938). Proc R Soc Lond B 126: 60. C sc D sc s sc rest m ax L sc C ( ) / se,iso R D 1 1 1 ; () . 1 D L t dL L L C C dC v I L R t dt L dt e f 30 2 f,pas pas f f 36 max(0, 0.1) 0.1( 0.1)0.0025 . e 1 2 ; pressure, resistance. P P Q P R R in out x x x x ; . dV Q Q P V Vd C dt

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Analysis of cardiovascular dynamics in pulmonary hypertensive C57BL6/J mice. Shivendra G Tewari 1 , Scott M Bugenhagen 2 , Zhijie Wang 3 , David A Schreier 3 , Brian E Carlson 1 , Naomi C Chesler 3 , Daniel A Beard 1 - PowerPoint PPT Presentation

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Page 1: Analysis of cardiovascular dynamics in pulmonary hypertensive C57BL6/J mice

Shivendra G Tewari1, Scott M Bugenhagen2, Zhijie Wang3, David A Schreier3, Brian E Carlson1, Naomi C Chesler3, Daniel A Beard1

1Molecular & Integrative Physiology, University of Michigan, Ann Arbor, MI.2Department of Physiology, Medical College of Wisconsin, Milwaukee, WI. 3Department of Biomedical Engineering, University of Wisconsin, Madison, WI.

Analysis of cardiovascular dynamics in pulmonary hypertensive C57BL6/J mice

AbstractA computer model was used to analyze data on cardiac and vascular mechanics from C57BL6/J mice exposed to 0 (n = 4), 14 (n = 6), 21 (n = 8) and 28 (n = 7) days of chronic hypoxia and treatment with the VEGF inhibitor SUGEN (HySu). Data on right ventricular pressure and volume and systemic arterial pressure obtained before, during, and after vena cava occlusion were analyzed using a mathematical model of realistic ventricular mechanics coupled with a simple model of the pulmonary and systemic vascular systems. The model invokes a total of 26 adjustable parameters, which were estimated based on least-squares fitting of the data. Of the 26 adjustable parameters, 14 were set to globally constant values for the entire data set. It was necessary to adjust the remaining 12 parameters to match data from all experimental groups. Of these 12 individually adjusted parameters, three parameters representing pulmonary vascular resistance, pulmonary arterial elastance, and pulmonary arterial narrowing were found to significantly change in HySu-induced remodeling. Model analysis shows a monotonic change in these parameters as disease progressed, with approximately 130% increase in pulmonary resistance, 70% decrease in unstressed pulmonary arterial volume, and 110% increase in pulmonary elastance in the 28-day group compared to the control group. These changes are consistent with prior experimental measurements. Furthermore, the 28-day data could be explained only after increasing the passive elastance of the right free wall compared to the value used for the other data sets, which is likely a consequence of the increased RV collagen content found experimentally. These findings may indicate a compensatory remodeling followed by pathological remodeling of the right ventricle in HySu-induced pulmonary hypertension.

Background

Schematics showing the three important components of the cardiovascular model. A. Cross-section of the ventricular composite. The TriSeg model (2) is used to have realistic ventricular interaction. It assumes right free wall, septum, and left free wall as three thick walled spherical segments intersecting at a junction margin, thus forming the right and left ventricular cavity. Systemic (B) and pulmonary (C) circulation are modeled using a simple lumped parameter model (3). The capacitors, resistors, and diodes imitate elastic chambers, pressure drop, and valves.

The Cardiovascular modelThe myofiber model is based on a heuristic relation which converts natural myofiber strain (εf) to Cauchy myofiber stress (σf). It is based on Hill’s three element muscle model (4).The time dependent behavior is simulated using two state variables, namely, Lsc (contractile element length) and C (mechanical activation) which are given by the following set of equations:

A representative 0-day hypoxic mice data set (thin solid line) used for determining control parameter estimates. The model simulations are shown as dashed line. A – C: RV pressure, RV volume and Aortic pressure. D: Heart-rate in beats per minute used to modify excitation – contraction of heart on a beat-to-beat basis.

ResultsAxis of rotational symmetry

Vw,LW

Vw,SWVw,RW

RW SW LW

O

Ventricular Interaction

B.

C.

A.

• About 15,000 deaths per year are ascribed to pulmonary hypertension.

• Only 50 percent of people survive three years after diagnosis with pulmonary arterial hypertension (PAH).

• A recent study by Wang et al. (1) catheterized a novel murine model of PAH that is relevant to pathogenesis of human PAH and recorded right ventricle pressure, volume and systemic pressure data.

• We analyzed their experimental data using a realistic model of heart coupled with a simple model of blood circulation to quantify the changes in the pulmonary circulation and right ventricle during continued exposure to HySu.

C sc D

sc s sc restmax L sc C ( ) /

se,iso R D

1 11 ; ( ) .1 D L t

dL L L C CdCv I L R tdt L dt e

Beat-to-beat changes in mechanical activation variable of the sarcomere model are accounted by scaling the time-constants by a factor , = HRhuman/HRmouse (where HRhuman is beats per second for human, chosen to be 1.17 beats per second) and HRmouse is the beats per second for an individual mouse derived from systemic pressure measurements. Active myofiber stress is calculated by an expression which depends on the two state variables i.e. Lsc and C. Passive myofiber stress that is crucial to explain 28-day group is given by the following expression:

f302f,pas pas f f36 max(0, 0.1) 0.1( 0.1) 0.0025 .e

The lumped parameter model used to simulate blood flow through veins and arteries is based on hydraulic analogy of the electrical circuit. Flow between compartment 1 to compartment 2 is calculated by:

1 2 ; pressure, resistance.P PQ P RR

Volume and pressure in a compartment are calculated using the following expressions:

where Cx is the compliance and Vdx represents an unstressed volume of compartment x.

in out x x x x; .dV Q Q P V Vd Cdt

Baseline RV pressure, RV volume, and systemic pressure of a representative 14-day hypoxic mice shown for one-second duration. A. Systemic pressure recording (thin solid line) and model simulation (thick dashed line). B. Heart-rate during the period. C. RV pressure data (thin solid line; lower graph) and model (thick dashed line), and RV volume data (thin solid line; upper graph) and model (thick dashed line).

Conclusions• Observed increases in pulmonary arterial resistance associated with PAH are accompanied by

commensurate increases in pulmonary arterial stiffness. Further, model simulation suggest RPVB and EPA primarily contribute to RV afterload and preload, respectively.

• Model analysis predicts a significant inward remodeling of the pulmonary arteries that becomes apparent only in the later stage of PAH, i.e., 28-day group.

• Model analysis predicts substantial stiffening of RV in the 28-day group, suggesting a degree of maladaptive remodeling in this group. This substantial increase in passive stiffness in the 28-day group is associated with a predicted drop in the mean of RV free wall stroke work density per beat.

RV pressure (A – C) and RV volume (D – F) data (thin solid line) with model simulations (thick dashed line) shown for a representative 0-day hypoxic mice.

RPVB, EPA and VdPA as a function of increasing days of hypoxia and treatment with HySu. The closed circles represent mean (with standard error) taken over 0-day (n=4), 14-day (n=6), 21-day (n=8), and 28-day (n=7) hypoxic mice group. The decrease in VdPA and increase in EPA is statistically significant only for the 28-day group (p < 0.001).

Modified myofiber stress-strain relationship for the RW mechanics of a 28-day hypoxic individual (dashed line) as compared to other-day individuals (solid line). Positive strain is following tensile stress and negative under compressive stress.

Stroke work density of RW which is defined as contractile myofiber work per unit of tissue volume per beat. The closed circles represent mean (with standard error) taken over 0-day, 14-day, 21-day, and 28-day hypoxic mice group.

RV pressure (A – C) and RV volume (D – F) data (thin solid line) with model simulations (thick dashed line) shown for a representative 28-day hypoxic mice.

References1. Wang, Z., Schreier, D., Hacker, T.A., Chesler, N.C. (submitted).

2. Lumens, J., Delhaas, T., Kirn, B., and Arts, T. (2009). Ann Biomed Eng 37: 2234-2255.

3. Smith, B.W., Chase, J.G., Nokes, R.I., Shaw, G.M., and Wake, G. (2004). Med Eng Phys 26: 131-139.

4. Hill, A.V. (1938). Proc R Soc Lond B 126: 60.