Preclinical models of acute liver failure: a comprehensive review

Author:

Hefler Joshua1ORCID,Marfil-Garza Braulio A.123ORCID,Pawlick Rena L.1,Freed Darren H.4ORCID,Karvellas Constantine J.56,Bigam David L.1,Shapiro A. M. James17

Affiliation:

1. Division of General Surgery, Department of Surgery, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alberta, Canada

2. National Institutes of Medical Sciences & Nutrition Salvador Zubiran, Mexico City, Mexico

3. CHRISTUS-LatAm Hub Excellence & Innovation Center, Monterrey, Mexico

4. Division of Cardiac Surgery, Department of Surgery, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alberta, Canada

5. Division of Gastroenterology, Department of Medicine, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alberta, Canada

6. Department of Critical Care Medicine, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alberta, Canada

7. Clinical Islet Transplant Program, University of Alberta, Edmonton, Alberta, Canada

Abstract

Acute liver failure is marked by the rapid deterioration of liver function in a previously well patient over period of days to weeks. Though relatively rare, it is associated with high morbidity and mortality. This makes it a challenging disease to study clinically, necessitating reliance on preclinical models as means to explore pathophysiology and novel therapies. Preclinical models of acute liver failure are artificial by nature, and generally fall into one of three categories: surgical, pharmacologic or immunogenic. This article reviews preclinical models of acute liver failure and considers their relevance in modeling clinical disease.

Funder

Patronato del Instituto Nacional de Ciencias Medicas y Nutricion Salvador Zubiran

Fundación para la Salud y la Educación Dr. Salvador Zubirán

CHRISTUS Excellence and Innovation Center

Canada Research Chair

Publisher

PeerJ

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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