Lulu Chu & Chenhong Zhu 08-02-12 CHSL. Rationale: Nonlinear Functional Changes in Aortic Banding...
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Transcript of Lulu Chu & Chenhong Zhu 08-02-12 CHSL. Rationale: Nonlinear Functional Changes in Aortic Banding...
CCB Final Project Proposal: Investigating the Roles of SERCA and NCX in Heart Failure Using Minimal Models of
Ca2+ Oscillation and Traveling Wave
Lulu Chu & Chenhong Zhu08-02-12
CHSL
Rationale: Nonlinear Functional Changes in Aortic Banding Heart Failure Animal Model
Ion Channel/Pump of Interest
Quantitative Change Literature
SERCA pump Protein Expression 85%Vmax 18-32%EC50 30-50%
Kiss et al. 1995, Rocchetti et al. 2008, Miccheletti et al. 2007,
NCX Protein Expression and current density 2-2.5 fold
Ahmed et al. 2000,
ICaL Peak: No change, 30%, 30%
Ahmed et al. 2000, Ryder et al. 1993, Ming et al. 1994
Peak Cai transient decreased by 30%, CaSR decreased by 32%, APD elongated by 20-40% (Siri et al, 1993, Rocchetti et al. 2008, Charvatova et al. 2004)
Other ion channels/pumps: INa, NaK, Nai, Cell geometry (Capacitance)
Project Objective 1 and Method• Objective: To understand how functional changes in SERCA or
NCX influence the Cai oscillation and the transient amplitude/frequency in a compartmental model using parametric studies and bifurcation analysis based on experimental data
• Method:– Identify a good minimal ODE model for Ca dynamics including targets
of interest and simulate in XPP– Include realistic buffering effect in cytosol and SR (Greenstein &
Winslow 2006)– Replace PMCA with NCX formulation from Luo&Rudy 1994 or Weber
et al. 2001 – Parametric studies of SERCA, NCX, and determine which has a more
profound impact on Ca oscillation amplitude and frequency in heart failure conditions
Preliminary Results: Calcium Dynamics
Cytosol
SR
SERCA
LeakRyR
LCC
PMCA/NCX
Model replication
Preliminary Resultsnormal
Reduced SERCA
Increased Extrusion
Normal
Cai vs vSERCA
Cai vs vPMCA
normal
normal
Project Objective 2 and Method• Objective: Better understand Cai traveling wave in 1D space
with the fire-diffuse-fire model and investigate how SERCA or NCX or RyR changes results in wave propagation failure.
• Method: – Derive a new 1D PDE for Cai which includes the buffering
effect in cytosol based on rapid buffer approximation (RBA) and fluxes of interests
– Implement the model using finite difference scheme in XPP or Matlab to do numerical integrations with new parameters set from the first objective
– Parametric studies of SERCA and NCX functions and investigate how they change normal behavior of Cai wave speed and propagation
Model Plan for 1D Ca Traveling Model
• RBA
• Treat all the fluxes as point sources• Use finite difference method
Anticipated Difficulties
• XPP numerics issue• Implementation with 1D PDE model and
position of Ca reaction (influx/efflux)