(A) Twenty-two pig-tailed macaques were infected with SHIV and suppressed with ART. Next, 17/22 underwent hematopoietic stem and progenitor cell (HSPC) transplantation following myeloablative …
(A) Empirical data for peripheral CD4+ CCR5+ (top row), CD4+CCR5- (middle row), and CD8+ T cell counts (bottom row) for control (blue), wild-type (red), and ΔCCR5 (green) transplantation groups. …
R code for plots and tests in Figure 2.
Complete data set of blood T cell counts for Figures 2 and 3.
Range of blood (A) CD4+ and (B) CD8+ T cell counts using all data points for the period before ATI in control animals (p-value calculated with a paired t-test for averaged measurements from a time …
(A) Schematics of the model. Each circle represents a cell compartment: T represents the HSPCs from the transplant; P, the progenitor cells in bone marrow (BM) and thymus; S and N, CD4+CCR5+ and CD4+…
Best model file for T cell reconstitution in Monolix format.
R code for plots in Figure 3.
Values of the fraction of protected cells in transplant product , dose or number of hematopoietic stem and progenitor cell (HSPCs) in transplant product and time of transplantation of each animal for model fitting and projections.
We assumed animal weight of 5 Kg.
Competing models for fitting T cell reconstitution with respective AIC values.
Best fit in bold-red (lowest AIC). The AIC values presented for each statistical assumption is the lowest of 10 runs of the SAEM algorithm with different randomly selected initial guesses.
Population parameter estimates for the best fits of the model in Equation 2 in the main text (lowest AIC in Figure 3—source data 2) to the T cell reconstitution dynamics.
RSE: relative standard error. Empty fields represent a standard deviation of random effects, , fixed to zero. Values of for and shown here are in log10 cell counts/μL assuming a blood volume of of 3 × 105 μL (calculated assuming blood:weight ratio of 60 mL/kg and body weight of 5 kg). Red values represent an RSE greater than 100% implying that the number of data points may not be enough to estimate the respective parameter.
Individual parameter estimates for the best fits of the model in Equation 2 in the main text (lowest AIC in Figure 3—source data 2) to the T cell reconstitution dynamics.
Values obtained for and shown here are in log10 cell counts/μL assuming a blood volume of of 3 × 105 μL (calculated assuming blood:weight ratio of 60 mL/kg and body weight of 5 kg). Initial values for the control group where obtained assuming steady state.
Population parameter estimates for the best fits used in the R code for Figure 3.
Empirical data for peripheral T cell subset counts (blue data points) and best fits of the model (black lines) in Equation 2 in the main text to all blood T cell subsets before/after ATI for the …
Empirical data for peripheral T cell subset counts and plasma viral load (red data points) and best fits of the model (black lines) in Equation 2 in the main text to all blood T cell subsets before …
Empirical data for peripheral T cell subset counts and plasma viral load (green data points) and best fits of the model (black lines) in Equation 2 in the main text to all blood T cell subsets …
Solid line represents the total number of cells that proliferate over time . Dashed lines indicate the number of exogenous cells differentiated from Tnaive and TCM () over time using the maximum …
(A) Empirical data for viral load (top row) and peripheral T cell counts (middle and bottom rows) for control (blue), wild-type (red) and ΔCCR5 (green) transplantation groups. Each data point shape …
R code for plots and test in Figure 4.
Complete data set of blood T cell counts and viral load for Figures 4 and 5.
(A) Distribution of the CD4+CCR5+ T-cell nadir post-ATI normalized relative to the CD4+CCR5+ concentration at ATI. (B) Distribution of the CD4+CCR5- T-cell nadir post-ATI normalized relative to the …
(A) Model: Susceptible cells, S, are infected by the virus, V, at rate β. Ip represents the fraction τ of the infected cells that produce virus, and, Iu, the other fraction that becomes …
Best model file for T cell and virus dynamics from acute infection after ATI in Monolix format.
R code for plots in Figure 5B.
R code for plots and tests in Figure 5C–D.
Competing models for fitting T cell and viral dynamics (Equations 2-3 in main text) using the best model in Figure 3—source data 2 and fixing parameter values as in Figure 3—source data 3, with AIC values.
Best fit in bold-red (lowest AIC).
Population parameter estimates for the fits of the model with lowest AIC in Figure 5—source data 1 to the T cell and virus dynamics.
RSE: relative standard error. Empty fields represent cases when the standard deviation of random effects, , was fixed to zero. Values of for , and shown here are transformed assuming a blood volume of 3 × 105 μL (calculated assuming blood:weight ratio of 60 mL/kg and body weight of 5 kg). Red values represent an RSE greater than 100% implying that the number of data points may not be enough to estimate the respective parameter.
Individual parameter estimates for the fits of the model in Equations 2-3 in main text (lowest AIC in Figure 5—source data 1) to the T cell and virus dynamics.
Values of for , and shown here are transformed assuming a blood volume of 3 × 105 μL (calculated assuming blood:weight ratio of 60 mL/kg and body weight of 5 kg). Shown are individual estimates for animals that continued study after ATI.
Individual parameter estimates obtained from Monolix for the best fits used in the R code for Figure 5.
Empirical data for peripheral T cell subset counts and plasma viral load (blue data points) and best fits of the model in Equations 2 and 3 to all blood T cell subsets before/after ATI for the …
Empirical data for peripheral T cell subset counts and plasma viral load (red data points) and best fits of the model in Equations 2 and 3 to all viral load observations and blood T cell subsets …
Empirical data for peripheral T cell subset counts and plasma viral load (green data points) and best fits of the model in Equations 2 and 3 to all viral load observations and blood T cell subsets …
(A) Predictions for plasma viral loads post-ATI using the optimized mathematical model. Here, and is the composite determinant of viral control. Parameter estimates for animal A11219 (Figure …
R code for plots in Figure 6A–B.
R code for plots in Figure 6C–D.
Results from all simulations varying fp, D, and Pr.
Model predictions of the effective reproductive ratio that lead to post-ATI viral control or not. was computed using varying values of : fraction of HSPCs in transplant, : total amount of …
Blue color represents the parameter space with post-ATI viral control or . Yellow-to-red colors represent the parameter space with no control or . Data points (green and red shapes) represent …
(A-B) Examples of projected (A) viral load and (B) total, modified and unmodified CD4+ CCR5- (solid) and ΔCCR5 CD4+ T cells (dashed) from the model for animal A11219 when , HSPCs and HSPCs, …
Results from all simulations varying time to ATI.