Using Statistical Modeling to Understand and Predict Pediatric Stem Cell Function.

ABSTRACT:

Background

Congenital heart defects are a leading cause of morbidity and mortality in children, and despite advanced surgical treatments, many patients progress to heart failure. Currently, transplantation is the only effective cure and is limited by donor availability and organ rejection. Recently, cell therapy has emerged as a novel method for treating pediatric heart failure with several ongoing clinical trials. However, efficacy of stem cell therapy is variable, and choosing stem cells with the highest reparative effects has been a challenge.

Methods

We previously demonstrated the age-dependent reparative effects of human c-kit+ progenitor cells (hCPCs) in a rat model of juvenile heart failure. Using a small subset of patient samples, computational modeling analysis show

SUBMITTER: Shoja-Taheri F 

PROVIDER: S-EPMC6581595 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature