학술논문

The Genetic Architecture of Carbon Tetrachloride-Induced Liver Fibrosis in Mice
Document Type
article
Source
Cellular and Molecular Gastroenterology and Hepatology. 11(1)
Subject
Biological Sciences
Biomedical and Clinical Sciences
Genetics
Human Genome
Liver Disease
Biotechnology
Chronic Liver Disease and Cirrhosis
Digestive Diseases
2.1 Biological and endogenous factors
Aetiology
Oral and gastrointestinal
Animals
Carbon Tetrachloride
Disease Models
Animal
Gene Regulatory Networks
Genetic Predisposition to Disease
Genome-Wide Association Study
Humans
Injections
Intraperitoneal
Liver
Liver Cirrhosis
Male
Mice
Quantitative Trait Loci
CCl4
Systems Genetics
Liver Toxicity and Injury
CCl(4)
Biochemistry and cell biology
Clinical sciences
Language
Abstract
Background & aimsLiver fibrosis is a multifactorial trait that develops in response to chronic liver injury. Our aim was to characterize the genetic architecture of carbon tetrachloride (CCl4)-induced liver fibrosis using the Hybrid Mouse Diversity Panel, a panel of more than 100 genetically distinct mouse strains optimized for genome-wide association studies and systems genetics.MethodsChronic liver injury was induced by CCl4 injections twice weekly for 6 weeks. Four hundred thirty-seven mice received CCl4 and 256 received vehicle, after which animals were euthanized for liver histology and gene expression. Using automated digital image analysis, we quantified fibrosis as the collagen proportionate area of the whole section, excluding normal collagen.ResultsWe discovered broad variation in fibrosis among the Hybrid Mouse Diversity Panel strains, demonstrating a significant genetic influence. Genome-wide association analyses revealed significant and suggestive loci underlying susceptibility to fibrosis, some of which overlapped with loci identified in mouse crosses and human population studies. Liver global gene expression was assessed by RNA sequencing across the strains, and candidate genes were identified using differential expression and expression quantitative trait locus analyses. Gene set enrichment analyses identified the underlying pathways, of which stellate cell involvement was prominent, and coexpression network modeling identified modules associated with fibrosis.ConclusionsOur results provide a rich resource for the design of experiments to understand mechanisms underlying fibrosis and for rational strain selection when testing antifibrotic drugs.