AI Article Synopsis

  • The study investigates the genetic factors influencing liver fibrosis, a condition caused by chronic liver injury, using a diverse panel of mouse strains.
  • Researchers induced liver damage via carbon tetrachloride injections and then analyzed liver tissues to assess the degree of fibrosis and gene expression.
  • Findings revealed significant genetic variation in fibrosis susceptibility among mice, leading to the identification of key genes and pathways involved, which can guide future research on liver disease and treatments.

Article Abstract

Background & Aims: Liver fibrosis is a multifactorial trait that develops in response to chronic liver injury. Our aim was to characterize the genetic architecture of carbon tetrachloride (CCl)-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.

Methods: Chronic liver injury was induced by CCl injections twice weekly for 6 weeks. Four hundred thirty-seven mice received CCl 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.

Results: We 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.

Conclusions: Our results provide a rich resource for the design of experiments to understand mechanisms underlying fibrosis and for rational strain selection when testing antifibrotic drugs.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7674618PMC
http://dx.doi.org/10.1016/j.jcmgh.2020.08.010DOI Listing

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