Utilising an in silico model to predict outcomes in senescence-driven acute liver injury.

ABSTRACT: Currently liver transplantation is the only treatment option for liver disease, but organ availability cannot meet patient demand. Alternative regenerative therapies, including cell transplantation, aim to modulate the injured microenvironment from inflammation and scarring towards regeneration. The complexity of the liver injury response makes it challenging to identify suitable therapeutic targets when relying on experimental approaches alone. Therefore, we adopted a combined in vivo-in silico approach and developed an ordinary differential equation model of acute liver disease able to predict the host response to injury and potential interventions. The Mdm2^fl/fl mouse model of senescence-driven liver injury was used to generate a quantitative dynamic characterisation of the k

SUBMITTER: Ashmore-Harris C 

PROVIDER: S-EPMC11442582 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature