Statistical Modeling of Extracellular Vesicle Cargo to Predict Clinical Trial Outcomes For Hypoplastic Left Heart Syndrome

Authors

Jessica R Hoffman
Hyun-Ji Park
Sruti Bheri
Manu O Platt
Joshua M Hare
Sunjay Kaushal
Judith L Bettencourt
Dejian Lai
Timothy C Slesnick
William T Mahle
Michael E Davis

Publication Date

10-20-2023

Journal

iScience

Abstract

Cardiac-derived c-kit+ progenitor cells (CPCs) are under investigation in the CHILD phase I clinical trial (NCT03406884) for the treatment of hypoplastic left heart syndrome (HLHS). The therapeutic efficacy of CPCs can be attributed to the release of extracellular vesicles (EVs). to understand sources of cell therapy variability we took a machine learning approach: combining bulk CPC-derived EV (CPC-EV) RNA sequencing and cardiac-relevant

Keywords

Drug delivery system, Medicine, Statistical physics

DOI

10.1016/j.isci.2023.107980

PMID

37868626

PMCID

PMC10589850

PubMedCentral® Posted Date

September 2023

PubMedCentral® Full Text Version

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