» Articles » PMID: 15084756

Gene Expression Profiling of Rat Livers Reveals Indicators of Potential Adverse Effects

Abstract

This study tested the hypothesis that gene expression profiling can reveal indicators of subtle injury to the liver induced by a low dose of a substance that does not cause overt toxicity as defined by conventional criteria of toxicology (e.g., abnormal clinical chemistry and histopathology). For the purpose of this study we defined this low dose as subtoxic, i.e., a dose that elicits effects which are below the detection of conventional toxicological parameters. Acetaminophen (APAP) was selected as a model hepatotoxicant because (1) considerable information exists concerning the mechanism of APAP hepatotoxicity that can occur following high doses, (2) intoxication with APAP is the leading cause of emergency room visits involving acute liver failure within the United States, and (3) conventional clinical markers have poor predictive value. Rats treated with a single dose of 0, 50, 150, or 1500 mg/kg APAP were examined at 6, 24, or 48 h after exposure for conventional toxicological parameters and for gene expression alterations. Patterns of gene expression were found which indicated cellular energy loss as a consequence of APAP toxicity. Elements of these patterns were apparent even after exposure to subtoxic doses. With increasing dose, the magnitude of changes increased and additional members of the same biological pathways were differentially expressed. The energy loss suggested by gene expression changes was confirmed at the 1500 mg/kg dose exposure by measuring ATP levels. Only by ultrastructural examination could any indication of toxicity be identified after exposure to a subtoxic dose of APAP and that was occasional mitochondrial damage. In conclusion, this study provides evidence that supports the hypothesis that gene expression profiling may be a sensitive means of identifying indicators of potential adverse effects in the absence of the occurrence of overt toxicity.

Citing Articles

Biological effects of inhaled crude oil vapor. III. Pulmonary inflammation, cytotoxicity, and gene expression profile.

Sager T, Joseph P, Umbright C, Hubbs A, Barger M, Kashon M Inhal Toxicol. 2023; 35(9-10):241-253.

PMID: 37330949 PMC: 10658288. DOI: 10.1080/08958378.2023.2224394.


A comprehensive tool for tumor precision medicine with pharmaco-omics data analysis.

Liu Y, Song F, Li Z, Chen L, Xu Y, Sun H Front Pharmacol. 2023; 14:1085765.

PMID: 36713829 PMC: 9878337. DOI: 10.3389/fphar.2023.1085765.


A multi-label learning model for predicting drug-induced pathology in multi-organ based on toxicogenomics data.

Su R, Yang H, Wei L, Chen S, Zou Q PLoS Comput Biol. 2022; 18(9):e1010402.

PMID: 36070305 PMC: 9451100. DOI: 10.1371/journal.pcbi.1010402.


Pulmonary toxicity and gene expression changes in response to whole-body inhalation exposure to multi-walled carbon nanotubes in rats.

Sager T, Umbright C, Mustafa G, Roberts J, Orandle M, Cumpston J Inhal Toxicol. 2022; 34(7-8):200-218.

PMID: 35648795 PMC: 9885491. DOI: 10.1080/08958378.2022.2081386.


Ridge Penalization in High-Dimensional Testing With Applications to Imaging Genetics.

Gauran I, Xue G, Chen C, Ombao H, Yu Z Front Neurosci. 2022; 16:836100.

PMID: 35401090 PMC: 8987922. DOI: 10.3389/fnins.2022.836100.