Unknown

Dataset Information

A systems pharmacology model for gene therapy in sickle cell disease.


ABSTRACT: We developed a mathematical model for autologous stem cell therapy to cure sickle cell disease (SCD). Experimental therapies using this approach seek to engraft stem cells containing a curative gene. These stem cells are expected to produce a lifelong supply of red blood cells (RBCs) containing an anti-sickling hemoglobin. This complex, multistep treatment is expensive, and there is limited patient data available from early clinical trials. Our objective was to quantify the impact of treatment parameters, such as initial stem cell dose, efficiency of lentiviral transduction, and degree of bone marrow preconditioning on engraftment efficiency, peripheral RBC numbers, and anti-sickling hemoglobin levels over time. We used ordinary differential equations to model RBC production from progenito

SUBMITTER: Zheng B 

PROVIDER: S-EPMC8302248 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature