Modelling the liver's regenerative capacity across different clinical conditions.

Journal: JHEP reports : innovation in hepatology
Published Date: May 30, 2025

Abstract

BACKGROUND & AIMS: Liver regeneration is essential for recovery following injury, but this process can be impaired by factors such as sex, age, metabolic disorders, fibrosis, and immunosuppressive therapies. We aimed to identify key transcriptomic, proteomic, and serum biomarkers of regeneration in mouse models under these diverse conditions using systems biology and machine learning approaches.

Authors

  • Anh Thu Nguyen-Lefebvre
    Ajmera Transplant Program, University Health Network, Toronto, Ontario, Canada.
  • Soumita Ghosh
    Ajmera Transplant Centre, University Health Network, Toronto, ON, Canada.
  • Cristina Baciu
    Ajmera Transplant Program, University Health Network, Toronto, Ontario, Canada.
  • Bima J Hasjim
    Department of Surgery, Division of Trauma, Burns and Surgical Critical Care, University of California, Irvine, Orange, USA.
  • Sara Naimimohasses
    Ajmera Transplant Program, University Health Network, Toronto, ON, Canada.
  • Graziano Oldani
    Department of General Surgery, University of Geneva Hospitals, University of Geneva, Geneva, Switzerland.
  • Elisa Pasini
    Ajmera Transplant Centre, University Health Network, Toronto, ON, Canada.
  • Michael Brudno
    Transplant AI Initiative, Ajmera Transplant Program, University Health Network, Toronto, ON, Canada.
  • Nazia Selzner
    Ajmera Transplant Program, University Health Network, Toronto, ON, Canada; Division of Gastroenterology, Department of Medicine, University of Toronto, Toronto, ON, Canada.
  • Jeffrey Wrana
    Lunenfeld-Tanenbaum Research Institute, Toronto, Ontario, Canada.
  • Mamatha Bhat
    Transplant AI Initiative, Ajmera Transplant Program, University Health Network, Toronto, ON, Canada.

Keywords

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