Time- and dose-based gene expression profiles produced by a bile-duct-damaging chemical, 4,4′-methylene dianiline, in mouse liver in an acute phase

Sun Bom Kwon, Joon Suk Park, Jung Yeon Yi, Jae Wong Hwang, Mingoo Kim, Mi Ock Lee, Byung Hoon Lee, Hyung Lae Kim, Ju Han Kim, Heekyoung Chung, Gu Kong, Kyung Sun Kang, Byung Il Yoon

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

A toxicogenomics study was performed in the mouse liver after treatment of a bile-duct-damaging chemical, 4,4′-methylene dianiline (MDA), across multiple doses and sampling times in an acute phase using the AB Expression Array System. Imprinting control region (ICR) mice were given a single oral administration of a low (10 mg/kg b.w.) or high (100 mg/kg b.w.) dose of MDA. Mice were sacrificed six, twenty-four, and seventy-two hours after treatment for serum chemistry, histopathology, and mRNA preparation from liver samples. Treatment with MDA increased liver-toxicity-related enzymes in blood and induced bile-duct cell injury, followed by regeneration. To explore potential biomarker gene profiles, the altered genes were categorized into four expression patterns depending on dose and time. Numerous functionally defined and unclassified genes in each category were up- or down-regulated throughout the period from cellular injury to the recovery phase, verified by RT-PCR. Many genes associated with liver toxicity and diseases belonged to one of these categories. The chemokine-mediated Th1 pathway was implicated in the inflammatory process. The genes associated with oxidative stress, apoptosis, and cell-cycle regulation were also dynamically responsive to MDA treatment. The Wnt/β-catenin signaling pathway was likely responsible for the reconstitution process of the MDA-injured liver.

Original languageEnglish
Pages (from-to)660-673
Number of pages14
JournalToxicologic Pathology
Volume36
Issue number5
DOIs
StatePublished - Jul 2008

Keywords

  • 4,4′-methylene dianiline
  • Acute liver toxicity
  • Mouse
  • Toxicogenomics

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