Acute cadmium chloride administration induces hepatic and renal CYP2A5 mRNA, protein and activity in the mouse: involvement of transcription factor NRF2

Modulation of the cytochrome P450 (CYP) monooxygenase system by cadmium was investigated in male, adult DBA/2J mice treated with a single dose (16 mumol/kg body weight, i.p.) of cadmium chloride (CdCl2). Total CYP content of liver and kidney microsomes decreased maximally (56% and 85%, respectively) 24 and 18 h, respectively, after CdCl2 treatment. Progressive increases of hepatic coumarin 7-hydroxylase (COH) activity; indicative of CYP2A5 activity, relative to the total CYP content were seen at 8 h (2-fold), 12 h (3-fold), 18 h (12-fold), and 24 h (15-fold). Similar changes were seen in the kidney. Liver and kidney CYP2A5 mRNA levels increased maximally 12 and 4 h after treatment and decreased to almost half 6 h later. In contrast, kidney and liver CYP2A5 protein levels increased maximally at 18 and 24 h. The CYP2A5 mRNA levels in the kidney and liver increased after Cd treatment in Nrf2 +/+ but not in Nrf2 -/- mouse. This study demonstrates that hepatic and kidney CYP2A5 is upregulated by cadmium with a somewhat faster response in the kidney than the liver. The strong upregulation of the CYP2A5 both at mRNA and enzyme activity levels, with a simultaneous decrease in the total CYP concentration suggest an unusual mode of regulation of CYP2A5 in response to cadmium exposure, amongst the CYP enzymes. The observed decrease in the mRNA but not in protein levels after maximal induction may suggest involvement of post-trancriptional mechanisms in the regulation. Upregulation of CYP2A5 by cadmium in the Nrf2 +/+ mice but not in the Nrf2 -/- mice indicates a role for this transcription factor in the regulation. (C) 2003 Elsevier Ireland Ltd. All rights reserved.

Transcriptional network dynamics in macrophage activation

Transcriptional regulatory networks govern cell differentiation and the cellular response to external stimuli. However, mammalian model systems have not yet been accessible for network analysis. Here, we present a genome-wide network analysis of the transcriptional regulation underlying the mouse macrophage response to bacterial lipopolysaccharide (LPS). Key to uncovering the network structure is our combination of time-series cap analysis of gene expression with in silico prediction of transcription factor binding sites. By integrating microarray and qPCR time-series expression data with a promoter analysis, we find dynamic subnetworks that describe how signaling pathways change dynamically during the progress of the macrophage LPS response, thus defining regulatory modules characteristic of the inflammatory response. In particular, our integrative analysis enabled us to suggest novel roles for the transcription factors ATF-3 and NRF-2 during the inflammatory response. We believe that our system approach presented here is applicable to understanding cellular differentiation in higher eukaryotes. (c) 2006 Elsevier Inc. All rights reserved.