Gene Expression Patterns Associated With Histopathology in Toxic Liver Fibrosis

Abstract

Toxic industrial chemicals induce liver injury, which is difficult to diagnose without invasive procedures. Identifying indicators of end organ injury can complement exposure-based assays and improve predictive power. A multiplexed approach was used to experimentally evaluate a panel of 67 genes predicted to be associated with the fibrosis pathology by computationally mining Drug Matrix, a publicly available repository of gene microarray data. Five-day oral gavage studies in male Sprague Dawley rats dosed with varying concentrations of 3 fibrogenic compounds (allyl alcohol, carbon tetrachloride, and 4,40-methylenedianiline) and 2 nonfibrogenic compounds (bromobenzene and dexamethasone) were conducted. Fibrosis was definitively diagnosed by histopathology. The 67-plex gene panel accurately diagnosed fibrosis in both microarray and multiplexed-gene expression assays. Necrosis and inflammatory infiltration were comorbid with fibrosis. ANOVA with contrasts identified that 51 of the 67 predicted genes were significantly associated with the fibrosis phenotype,with 24 of these specific to fibrosis alone. The protein product of the gene most strongly correlated with the fibrosis phenotype PCOLCE (Procollagen C-Endopeptidase Enhancer) was dose-dependently elevated in plasma from animals administered fibrogenic chemicals (P<.05). Semiquantitative global mass spectrometry analysis of the plasma identified an additional 5 protein products of the gene panel which increased after fibrogenic toxicant administration: fibronectin, ceruloplasmin, vitronectin, insulin-like growth factor binding protein, and a2-macroglobulin. These results support the data mining approach for identifying gene and/or protein panels for assessing liver injury and may suggest bridging biomarkers for molecular mediators linked to histopathology.

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Document Details

Document Type
Technical Report
Publication Date
May 09, 2016
Accession Number
AD1003890

Entities

People

  • Anders Wallqvist
  • Bobbi S. Snowden
  • Bonna C. Mcdyre
  • Cheryl A. Hobbs
  • Christine E. Baer
  • Danielle L. Ippolito
  • Gregory J. Tawa
  • John A. Lewis
  • Jonathan D. Stallings
  • Matthew G Permenter
  • Michael A. Streicker
  • Mohamed D. Abdulhameed
  • Molly H. Boyle
  • William E. Dennis

Organizations

  • U.S. Army Center for Environmental Health Research

Tags

DTIC Thesaurus Topics

  • Blood Proteins
  • Cell Physiological Processes
  • Cells
  • Chemical Synthesis
  • Chemistry
  • Cirrhosis
  • Health Services
  • Hepatitis
  • Liver Diseases
  • Medical Personnel
  • Network Science
  • Proteins

Fields of Study

  • Biology

Readers

  • Molecular and Cellular Biology
  • Oncology and Biomarker-Based Cancer Detection.
  • Toxicology/Environmental Toxicology

Technology Areas

  • AI & ML