Open AccessAccurate Prediction of Drug‐Induced Liver Injury Using Stem Cell‐Derived Populations
Author(s) -
Szkolnicka Dagmara,
Farnworth Sarah L.,
Lucendo-Villarin Baltasar,
Storck Christopher,
Zhou Wenli,
Iredale John P.,
Flint Oliver,
Hay David C.
Publication year - 2014
Publication title -
stem cells translational medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.781
H-Index - 71
eISSN - 2157-6580
pISSN - 2157-6564
DOI - 10.5966/sctm.2013-0146
Subject(s) - stem cell , liver disease , hepatocyte , liver injury , medicine , biology , transplantation , bioinformatics , immunology , cancer research , pharmacology , microbiology and biotechnology , in vitro , biochemistry
It has been observed that there is an imperative to develop predictive human systems that more effectively study and/or prevent the onset of liver disease and decompensated organ function. A serum‐free, scalable, and shippable cell‐based model that faithfully predicts the potential for human liver injury has been developed. Such a resource has direct application in human modeling, and, in the future, could play an important role in developing renewable cell‐based therapies.