Mouse Model of Liver Toxicity

Liver disease, including hepatocellular carcinoma (HCC), hepatitis, alcoholic liver disease (ALD), autoimmune or drug-induced liver disease, and non-alcoholic steatohepatitis (NASH), represents a considerable public health burden. End-stage liver disease or cirrhosis accounts for 2% of deaths worldwide. Regardless of the type of liver disease, a significant driver of fibrosis in the liver is inflammation. Intravenous injection of the plant lectin Concanavalin A (Con A) in mice is a commonly used model of acute immune-mediated hepatitis and immune-mediated drug hepatotoxicity due to its rapid disease onset and clinically relevant disease mechanisms

In this study, we hypothesize that continuous monitoring of behavioral and physiological parameters will provide clinically relevant data to assess disease in induction rodent models, including the Con A- induced mouse model of liver disease. The objective of this study was to evaluate behavioral and physiological characteristics of Con A-induced mice using different doses of Con A.

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Biomarkers & Links

Arthritis Index
Motion Biomarker

Bleomycin Model of Pulmonary Fibrosis

Pulmonary fibrosis (PF) is a severe, pathological condition in many respiratory diseases, including idiopathic pulmonary fibrosis (IPF), a fatal lung disease. Patients present with a non-productive cough and dyspnea, and these symptoms gradually develop into severe dyspnea at rest and right heart failure. 

The bleomycin mouse model is frequently employed to investigate both acute inflammatory, and more chronic fibrotic, processes underlying IPF and to assess therapeutic efficacy of discovery candidates. In this study, we hypothesize that Vium’s automated biomarkers, specifically Breathing Rate, will provide physiologically relevant data to assess respiratory disease progression in a bleomycin mouse model of IPF.

Vium’s Digital Platform Allows Researchers to

  • 1. Non-invasively track disease progression and pulmonary dysfunction
  • 2. Observe patterns and more consistent changes in disease phenotype 
  • 3. Reduce sample size requirements due to larger effect sizes
  • 4. Complement traditional hydroxyproline measurements for collagen 

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