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PubMed2006

Conventional and toxicogenomic assessment of the acute pulmonary damage induced by the instillation of Cardiff PM10 into the rat lung.

There is strong epidemiological evidence of association between PM10 (particulate matter with an aerodynamic diameter less than or equal to 10 microm) and adverse health outcomes including death and increased hospital admissions for cardiopulmonary conditions. Ambient PM10 surrogates such as diesel exhaust particles (DEP), a common component of UK PM10 have been shown to induce lung inflammation in both humans and rodents. To date, few studies have reported on the toxicological response of UK PM10 in experimental animals. This study examines the pulmonary toxicological responses in male Sprague Dawley rats following the intratracheal instillation of Cardiff urban PM10. A mild but significant change in lung permeability was observed in the lung post-instillation of a high (10 mg) dose of the whole PM10 as adjudged by increases in lung to body weight ratio and total acellular lavage protein. Such effects were less marked following instillation of a water-soluble fraction (80% of the total mass) but histological examination showed that lung capillaries were swollen in size with this treatment. In conclusion, conventional toxicological, histological and toxicogenomic studies have indicated that Cardiff PM10 exhibits low bioreactivity in the form of mild permeability changes. Differential gene expression was observed when the lung was treated with whole PM10, containing durable particles, in comparison with the water-soluble fraction of PM10 that was devoid of particles. Such changes were linked to different histopathological events within the lung.

Air Pollutants↗
PubMed2005

Use of toxicogenomics for identifying genetic markers of pulmonary oedema.

This study was undertaken primarily to identify genetic markers of oedema and inflammation. Mild pulmonary injury was induced following the instillation of the oedema-producing agent, bleomycin (0.5 units). Oedema was then confirmed by conventional toxicology (lavage protein levels, free cell counts and lung/body weight ratios) and histology 3 days post-bleomycin instillation. The expression profile of 1176 mRNA species was determined for bleomycin-exposed lung (Clontech Atlas macroarray, n=9). To obtain pertinent results from these data, it was necessary to develop a simple, effective method for bioinformatic analysis of altered gene expression. Data were log10 transformed followed by global normalisation. Differential gene expression was accepted if: (a) genes were statistically significant (P < or = 0.05) from a two-tailed t test; (b) genes were consistently outside a two standard deviation (SD) range from control levels. A combination of these techniques identified 31 mRNA transcripts (approximately 3%) which were significantly altered in bleomycin treated tissue. Of these genes, 26 were down-regulated whilst only five were up-regulated. Two distinct clusters were identified, with 17 genes classified as encoding hormone receptors, and nine as encoding ion channels. Both these clusters were consistently down-regulated. The magnitude of the changes in gene expression were quantified and confirmed by Q-PCR (n = 6), validating the macroarray data and the bioinformatic analysis employed. In conclusion, this study has developed a suitable macroarray analysis procedure and provides the basis for a better understanding of the gene expression changes occurring during the early phase of drug-induced pulmonary oedema. This work has been presented orally, in part at the British Association for Lung Research Summer Meeting, University of Brighton, 3-5 September, 2003 and in full at the British Toxicology Society Annual Congress, Heriot Watt University, Edinburgh, 21-24 April 2004.

Animals↗
PubMed2006

Differences in gene expression profiles in the liver between carcinogenic and non-carcinogenic isomers of compounds given to rats in a 28-day repeat-dose toxicity study.

Some compounds have structural isomers of which one is apparently carcinogenic, and the other not. Because of the similarity of their chemical structures, comparisons of their effects can allow gene expression elicited in response to the basic skeletons of the isomers to be disregarded. We compared the gene expression profiles of male Fischer 344 rats administered by daily oral gavage up to 28 days using an in-house oligo microarray. 2-Acetylaminofluorene (2-AAF), 2,4-diaminotoluene (2,4-DAT), 2-nitropropane (2-NP), and 2-nitro-p-phenylenediamine (2-NpP) are hepatocarcinogenic. However, their isomers, 4-acetylaminofluorene (4-AAF), 2,6-diaminotoluene (2,6-DAT), 1-nitropropane (1-NP), and 4-nitro-o-phenylenediamine (4-NoP), are non-hepatocarcinogenic. Because of the limited carcinogenicity of 2-NpP, we attempted to perform two-parametric comparison analyses with (1) a set of 4 isomers: 2-AAF, 2,4-DAT, 2-NP, and 2-NpP as "carcinogenic", and 4-AAF, 2,6-DAT, 1-NP, and 4-NoP as "non-carcinogenic"; and (2) a set of 3 isomers: 2-AAF, 2,4-DAT, and 2-NP, as "carcinogenic", and 4-AAF, 2,6-DAT, and 1-NP as "non-carcinogenic". After ratio filtering and Welch's approximate t-test analysis, 54 and 28 genes were selected from comparisons between the sets of 3 and 4 isomers, respectively, for day 28 data. Using hierarchical clustering analysis with the 54 or 28 genes, 2-AAF, 2,4-DAT, and 2-NP clustered into a "carcinogenic" branch. 2-NpP was in the same cluster as 4-NoP and 4-AAF. This clustering corresponded to the previous finding that 2-NpP is not carcinogenic in male Fischer 344 rats, which indicates that comparing the differences in gene expression elicited by different isomers is an effective method of developing a prediction system for carcinogenicity.

Animals↗
PubMed2005

Zebrafish in functional genomics and aquatic biomedicine.

The zebrafish (Danio rerio) has many features that make it an ideal model for the study of developmental biology. It is small and easy to contain, it has transparent embryos, it is easy to breed and its early development is well characterized; these same characteristics have also made it an ideal vertebrate model in the areas of biomedicine and biotechnology. In aquaculture, the need for a well-characterized fish model has been satisfied by the zebrafish owing to the availability of functional genomics and molecular biology data to facilitate studies of growth, reproduction, meat quality and disease biology, with the corresponding development of vaccines and therapies. Zebrafish are also increasingly used in toxicogenomics to analyze the effects of toxins and pollutants in the environment, and for creating biomonitors that emit alarm signals when a toxic compound is detected. As detailed in this review, the zebrafish is a versatile and well-characterized model with applications in many fields of study.

Animals↗
PubMed2005

Altered gene expression in human hepatoma HepG2 cells exposed to low-level 2,4-dichlorophenoxyacetic acid and potassium nitrate.

2,4-dichlorophenoxyacetic acid (2,4-D) and nitrate are agricultural contaminants found in rural ground water. It is not known whether levels found in groundwater pose a human or environmental health risk, nor is the mechanism of toxicity at the molecular/cellular level understood. This study focused on determining whether 2,4-D or nitrate at environmentally realistic levels elicit gene expression changes in exposed cells. cDNA microarray technology was used to determine the impact of 2,4-D and nitrate in an in vitro model of exposure. Human hepatoma HepG2 cells were incubated with 2,4-D or nitrate alone for 24 h. Cell viability (neutral red assay) and proliferation (BrdU incorporation) were assessed following exposure. Total RNA from treated and control cells were isolated, reverse transcribed and reciprocal labelled with Cy3 or Cy5 dyes, and hybridized to a human cDNA microarray. The hybridized microarray chips were scanned, quantified and analyzed to identify genes affected by 2,4-D or nitrate exposure based on a two-fold increase or decrease in gene expression and reproducibility (affected in three or more treatments). Following filtering, normalization and hierarchical clustering initial data indicate that numerous genes were found to be commonly expressed in at least three or more treatments of 2,4-D or nitrate tested. The affected genes indicate that HepG2 cells respond to environmental, low-level exposure and produce a cellular response that is associated with alterations in the expression of many genes. The affected genes were characterized as stress response, cell cycle control, immunological and DNA repair genes. These findings serve to highlight new pathway(s) in which to further probe the effects of environmental levels of 2,4-D and nitrate.

2,4-Dichlorophenoxyacetic Acid↗
PubMed2005

Molecular responses to xenoestrogens: mechanistic insights from toxicogenomics.

The xenoestrogen group of endocrine disruptors has the potential to cause reproductive and developmental effects through stimulation or disruption of sex steroid nuclear receptor signalling pathways. A more detailed understanding of the ways in which xenoestrogens interact with biological systems at the molecular level will provide a mechanistic basis for improved safety assessment. The recent sequencing of mammalian genomes has driven the development of toxicogenomic technologies, including microarray based gene expression profiling, which allow the expression levels of thousands of genes to be measured simultaneously. Since the cellular responses to xenoestrogens are predominantly mediated by estrogen receptors, which function as ligand-activated transcription factors to regulate gene expression, the application of toxicogenomics has great potential for providing insights into the molecular mechanisms of xenoestrogen action. A major challenge in applying toxicogenomics to the field of endocrine disruption is the need to define how xenoestrogen-induced changes in gene expression relate to conventional physiological and toxicological endpoints. Gene Ontology Mapping, Pathway Mapping and Phenotypic Anchoring of xenoestrogen-induced gene expression changes to cellular pathways and processes represent key steps in defining these relationships. Mechanistic insights into how xenoestrogens target specific genes and into the functional significance of xenoestrogen-induced alterations in gene expression can be further enhanced by combining transcript profiling with transgenic animal models or cell-based systems in which the estrogen receptor signalling pathways have been modified experimentally. This review illustrates how these toxicogenomic approaches are providing an unprecedented amount of mechanistic information on the molecular responses to xenoestrogens and how they are likely to impact on hazard and risk assessment.

Animals↗
PubMed2006

Stem cell test: a practical tool in toxicogenomics.

During early embryonic development, at blastocyst stage, the embryo has an outer coat of cells and an inner cell mass (ICM). ICM is the reservoir of embryonic stem (ES) cells, which are pluripotent, i.e., have the potential to differentiate into all cell types of the body. Cell lines have been developed from ES cells. In addition, there are embryonic germ (EG) cell lines developed from progenitor germ cells, and embryonic carcinoma (EC) cell lines developed from teratomas. These cell lines are being used for the study of basic and applied aspects in medical therapeutics, and disease management. Another potential of these cell lines is in the field of environmental mutagenesis. In addition to ES cells, there are adult stem cells in and around different organs and tissues of the body. It is now possible to grow pure populations of specific cell types from these adult stem cells. Treating specific cell types with chemical or physical agents and measuring their response offers a shortcut to test the toxicity in various organ systems in the adult organism. For example, to evaluate the genotoxicity of a chemical (e.g., drug or pesticide) or a physical agent (e.g., ionizing radiation or non-ionizing electromagnetic radiation) during embryonic development, a large number of animals are being used. As an alternative, use of stem cell lines would be a feasible proposition. Using stem cell lines, efforts are being made to standardize the protocols, which will not only be useful in testing the toxicity of a chemical or a physical agent, but also in the field of drug development, environmental mutagenesis, biomonitoring and other studies.

Cell Differentiation↗
PubMed2005

Glial inflammation and neurodegeneration induced by candoxin, a novel neurotoxin from Bungarus candidus venom: global gene expression analysis using microarray.

Candoxin (PDB #1JGK), a three-finger neurotoxin from Bungarus candidus venom, inhibits post-synaptic neuromuscular and neuronal alpha7nACh-receptors, and induces delayed cell-death throughout the glial population. When applied to cultured human glial cell lines, candoxin (CDX) induced cell death in a concentration (EC(50) approximately 1muM) and time dependent manner. Results of TUNEL-histochemistry further confirm CDX-induced brain (hippocampus, frontal cortex, and temporal regions) damage when administered intracerebroventricularly (i.c.v) in adult mice. In this study, we explored differential gene expression profiles following exposure of human glial (Hs 683) cell lines to CDX at various time intervals using Affymetrix-GeneChips. By means of MAS and GeneSpring analyses, 105 genes whose expression was significantly (P<0.01) altered by at least 3-fold were selected. Results of the genome analysis reveal that the potential role of CDX at molecular level involves the regulation of genes in signal transduction, ubiquitin-inflammation, mitochondrial-dysfunction, and damage-response pathways. In addition, using QRT-PCR and rationally designed specific CDX-binding peptide (P-NT.II), we identified the genes-IL7R, IL13RA2, IL-1beta, TNFRSF12A, GADD45A, CD44 and IFI44-that might play an important role in CDX-induced glial inflammation, DNA-damage and degeneration. These findings reveal new insight into the molecular mechanisms of glial-driven neurodegeneration after exposure to neurotoxins.

Analysis of Variance↗
PubMed2004

Progress in applying genomics in drug development.

Genomics has had an impact on two areas of drug development, "predictive" toxicology and mechanism-based risk assessment. Predictive toxicology studies are aimed at identifying the potential for a compound to be toxic. By developing databases of expression profiles for a wide variety of toxic compounds and toxic models it has been possible to create statistical and computational methods which provide an indication of the toxic potential of a drug from the pattern of gene expression changes it elicits in in vitro or in vivo systems. Because gene expression is central to many responses to xenobiotics, genomic approaches lend themselves very readily to mechanistic toxicology studies. By examining changes in gene expression in cells and tissues in response to drugs it is possible to generate hypotheses as to the underlying mechanism and in some cases it is possible to evaluate hypotheses of toxic mechanism. Some concerns remain about the use of the technology but toxicogenomics can no longer be regarded as "new" technology in drug development. The investments made in applying the technology are maturing and there is a determined effort to bring the full power of the technology into drug development.

Animals↗
PubMed2005

Cellular stress responses and molecular mechanisms of nephrotoxicity.

Increasing our knowledge on the molecular and cellular mechanisms of acute renal tubular pathologies will lead to potential novel therapeutic strategies either to prevent the initiation of renal failure or to promote the renal regeneration after injury. Currently many genomic- and proteomic-based techniques are available to identify genes, proteins or protein modifications in relation to renal toxicity. Although we are able to identify many genes and proteins at once, the actual role of the genes and proteins with respect to cellular toxicity needs to be defined in order to better understand the molecular basis of renal cell injury and repair. This review will focus on the relationship between changes in gene and protein expression, cellular perturbations, signal transduction, and mechanisms of toxicity. A focus is on the role of stress response proteins in repair of injured renal cells.

Animals↗
PubMed2005

Genetic basis of toxic reactions to drugs and chemicals.

Inter-individual drug effects are subject to substantial variability. There are multiple reasons based on pathophysiological factors and environmental interactions, but also genetic characteristics. Groundbreaking successes have been achieved in the field of pharmacogenomics and toxicogenomics. In particular, the identification of hereditary polymorphisms in genes of the cytochrome P450 system and phase II-enzymes such as TMPT contributed considerably to the explanation of the individually varying pharmacokinetics of a number of drugs. Furthermore, hereditary variations in genes of membrane drug transporters were recently discovered. Along with these factors, which could influence pharmacokinetics, strong efforts have been undertaken to clarify the role of genetic polymorphisms in receptors or signal transduction proteins modulating drug efficacy. Particularly for malignant diseases such as bladder or lung cancer, polymorphic foreign compound metabolizing enzymes have been identified as susceptibility factors, modulating an individual's cancer risk dependent on the extent of environmental exposure. This review focuses on the role of the polymorphic phase I enzymes cytochrome P450 1A1, 1A2, 1B1, 2C9, 2C19, 2D6, 3A5 and myeloperoxidase as well as on the phase II-enzymes arylamine N-acetyltransferases 1 and 2, glutathione S-transferases M1 and T1, and thiopurine S-methyltranferases as detoxifying but also toxifying factors, modulating pharmacokinetics and disease susceptibility.

Arylamine N-Acetyltransferase↗
PubMed2005

Utilization of a toxicogenomic biomarker for evaluation of chemical-induced glutathione deficiency in rat livers across the GeneChip data of different generations.

Previously, we reported 69 probe sets (GSH probe sets) of RG U34A GeneChip that were useful for the evaluation of chemical-induced glutathione depletion in rat livers. The aim of the present study was to investigate whether these probe sets could be applied to the analysis of RAE 230A GeneChip data. Since a straightforward data comparison of RG U34A and RAE 230A GeneChips could not overcome the generation-dependent discrepancy in signal profiles, we tried two methods to improve the data compatibility between the two GeneChips. First, we re-calculated the signal values by excluding the probes with poor-overlapping sequences between the two GeneChips, but the data compatibility did not improve from the view point of Spearman's and Pearson's correlation coefficients. On the other hand, the PCA result demonstrated that an adjustment of the baseline signal level between the RG U34A and RAE 230A GeneChip data on vehicle-treated rats dramatically improved the data compatibility, suggesting that the GSH probe sets identified from RG U34A GeneChip data can be utilized in RAE 230A GeneChip data as well. Such a baseline adjustment of signal data is an easy and practical way to utilize biomarkers across GeneChip data of different generations.

Animals↗
PubMed2006

Toxicogenomics of endoplasmic reticulum stress inducer tunicamycin in the small intestine and liver of Nrf2 knockout and C57BL/6J mice.

This objective of this study was to investigate the toxicogenomics and the spatial regulation of global gene expression profiles elicited by endoplasmic reticulum (ER) stress inducer tunicamycin (TM) in mouse small intestine and liver as well as to identify TM-modulated nuclear factor-E2-related factor 2 (Nrf2)-dependent genes. Gene expression profiles were analyzed using 45,000 Affymetrix mouse genome 430 2.0 array and GeneSpring 7.2 software. Microarray results were validated by quantitative real-time reverse transcription-PCR analyses. Clusters of genes that were either induced or suppressed more than two-fold by TM treatment compared with vehicle in C57BL/6J/Nrf2 (-/-; knockout) and C57BL/6J Nrf2 (+/+; wildtype) mice genotypes were identified. Amongst these, in small intestine and liver, 1291 and 750 genes, respectively, were identified as Nrf2-dependent and upregulated, and 1370 and 943 genes, respectively, as Nrf2-dependent and downregulated. Based on their biological functions, these genes can be categorized into molecular chaperones and heat shock proteins, ubiquitination/proteolysis, apoptosis/cell cycle, electron transport, detoxification, cell growth/differentiation, signaling molecules/interacting partners, kinases and phosphatases, transport, biosynthesis/metabolism, nuclear assembly and processing, and genes related to calcium and glucose homeostasis. Phase II detoxification/antioxidant genes as well as putative interacting partners of Nrf2 such as nuclear corepressors and coactivators, were also identified as Nrf2-dependent genes. The identification of TM-regulated and Nrf2-dependent genes in the unfolded protein response to ER stress not only provides potential novel insights into the gestalt biological effects of TM on the toxicogenomics and spatial regulation of global gene expression profiles in cancer pharmacology and toxicology, but also points to the pivotal role of Nrf2 in these biological processes.

Animals↗
PubMedDate not supplied

Identification and measurement of genomic biomarkers of nephrotoxicity.

An accelerated pace for drug discovery and development requires the application of measurements of novel parameters for drug-induced toxicity. Genomic biomarkers can contribute to this process as indicators or predictors of toxicity. Transcript levels for genes such as the kidney injury molecule have been identified and evaluated as genomic biomarkers of nephrotoxicity.

Animals↗
PubMed2005

Toxicogenomic analysis methods for predictive toxicology.

Toxicogenomics, the application of genomic data to elucidate or predict an organism's response to a toxicant, can inform the drug development process in important ways. It is apparent that standardized approaches to many types of toxicogenomic questions are still being formulated. Specifically, a significant body of proof of principle studies has emerged that demonstrates a range of statistical methodologies applied to predictive toxicology. These studies rely on class prediction methods--mathematical models generated using the gene expression profiles of known toxins from representative toxicological classes--to predict the toxicological effect of a compound based on the similarities between its gene expression profile and the profiles of a given toxicological class. Class prediction methods hold promise for increasing the rate at which compounds can be evaluated for toxicity early in the drug discovery process, while at the same time reducing the length of toxicological studies and their associated costs. Class prediction methods are informed by class comparison and class discovery steps, which inform, respectively, the selection of genes whose response can be used to distinguish among the toxicological classes and the number of classes distinguishable using the response of these genes. Together these steps use a variety of complementary statistical techniques to achieve a successful class prediction model. This report attempts to review some of the themes that appear to be emerging in the application of these techniques to predictive toxicology methods over toxicogenomics' short history.

Animals↗
PubMed2007

Toxicogenomics in the assessment of immunotoxicity.

Microarray analysis is used for simultaneous measurement of expression of thousands of genes in a given sample and as such extends and deepens our understanding of biological processes. Application of the technique in toxicology is referred to as toxicogenomics. The examples of assessment of immunotoxicity by gene expression profiling presented and discussed here, show that microarray analysis is able to detect known and novel effects of a wide range of immunomodulating agents. Besides the elucidation of mechanisms of action, toxicogenomics is also applied to predict consequences of exposing biological systems to toxic agents. Successful attempts to classify compounds using signature gene expression profiles have been reported. These did, however, not specifically focus on immunotoxicity. Databases containing expression profiles can facilitate the applications of toxicogenomics. Platforms and methodologies for gene expression profiling may vary, however, hampering data compiling across different laboratories. Therefore, attention is paid to standardization of the generation, reporting, and management of microarray data. Obtained gene expression profiles should be anchored to pathological and functional endpoints for correct interpretation of results. These issues are also important when using toxicogenomics in risk assessment. The application of toxicogenomics in evaluation of immunotoxicity is thus not yet without challenges. It already contributes to the understanding of immunotoxic processes and the development of in vitro screening assays, though, and is therefore expected to be of value for mechanistic insight into immunotoxicity and hazard identification of existing and novel compounds.

Animals↗