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The completion of the human genome project and the subsequent advent of DNA microarray and high-throughput sequencing technologies have led to a renaissance in molecular toxicology. Toxicogenomic data sets, from both in vivo and in vitro studies, are growing exponentially, providing a wealth of information on regulation of stress pathways at the transcriptome level. Through such studies, we are now beginning to appreciate the diversity and complexity of biological responses to xenobiotics. In this review, we aim to consolidate and summarise the major toxicologically relevant transcription factor-governed molecular pathways. It is becoming clear that different chemical entities can cause oxidative, genotoxic and proteotoxic stress, which induce cellular responses in an effort to restore homoeostasis. Primary among the response pathways involved are NFE2L2 (Nrf2), NFE2L1 (Nrf1), p53, heat shock factor and the unfolded protein response. Additionally, more specific mechanisms exist where xenobiotics act as ligands, including the aryl hydrocarbon receptor, metal-responsive transcription factor-1 and the nuclear receptor family of transcription factors. Other pathways including the immunomodulatory transcription factors NF-κB and STAT together with the hypoxia-inducible transcription factor HIF are also implicated in cellular responses to xenobiotic exposure. A less specific but equally important aspect to cellular injury controlled by transcriptional activity is loss of tissue-specific gene expression, resulting in dedifferentiation of target cells and compromise of tissue function. Here, we review these pathways and the genes they regulate in order to provide an overview of this growing field of molecular toxicology.

Gestational complications, including preeclampsia and gestational diabetes, have long-term adverse consequences for offspring’s metabolic and cardiovascular health. A low-grade systemic inflammatory response is likely mediating this. Here, we examine the consequences of LPS-induced gestational inflammation on offspring’s health in adulthood. LPS was administered to pregnant C57Bl/6J mice on gestational day 10.5. Maternal plasma metabolomics showed oxidative stress, remaining for at least 5 days after LPS administration, likely mediating the consequences for the offspring. From weaning on, all offspring was fed a control diet; from 12 to 24 weeks of age, half of the offspring received a western-style diet (WSD). The combination of LPS-exposure and WSD resulted in hyperphagia and increased body weight and body fat mass in the female offspring. This was accompanied by changes in glucose tolerance, leptin and insulin levels and gene expression in liver and adipose tissue. In the hypothalamus, expression of genes involved in food intake regulation was slightly changed. We speculate that altered food intake behaviour is a result of dysregulation of hypothalamic signalling. Our results add to understanding of how maternal inflammation can mediate long-term health consequences for the offspring. This is relevant to many gestational complications with a pro-inflammatory reaction in place.

The utilisation of genome-wide transcriptomics has played a pivotal role in advancing the field of toxicology, allowing the mapping of transcriptional signatures to chemical exposures. These activities have uncovered several transcriptionally regulated pathways that can be utilised for assessing the perturbation impact of a chemical and also the identification of toxic mode of action. However, current transcriptomic platforms are not very amenable to high-throughput workflows due to, high cost, complexities in sample preparation and relatively complex bioinformatic analysis. Thus, transcriptomic investigations are usually limited in dose and time dimensions and are, therefore, not optimal for implementation in risk assessment workflows. In this study, we investigated a new cost-effective, transcriptomic assay, TempO-Seq, which alleviates the aforementioned limitations. This technique was evaluated in a 6-compound screen, utilising differentiated kidney (RPTEC/TERT1) and liver (HepaRG) cells and compared to non-transcriptomic label-free sensitive endpoints of chemical-induced disturbances, namely phase contrast morphology, xCELLigence and glycolysis. Non-proliferating cell monolayers were exposed to six sub-lethal concentrations of each compound for 24 h. The results show that utilising a 2839 gene panel, it is possible to discriminate basal tissue-specific signatures, generate dose–response relationships and to discriminate compound-specific and cell type-specific responses. This study also reiterates previous findings that chemical-induced transcriptomic alterations occur prior to cytotoxicity and that transcriptomics provides in depth mechanistic information of the effects of chemicals on cellular transcriptional responses. TempO-Seq is a robust transcriptomic platform that is well suited for in vitro toxicity experiments.

Accurate detection and prediction of renal injury are central not only to improving renal disease management but also for the development of new strategies to assess drug safety in pre-clinical and clinical testing. In this study, we utilised the well-characterised and differentiated human renal proximal tubule cell line, RPTEC/TERT1 in an attempt to identify markers of renal injury, independent of the mechanism of toxicity. We chose zoledronate as a representative nephrotoxic agent to examine global transcriptomic alterations using a daily repeat bolus protocol over 14 days, reflective of sub-acute or chronic injury. We identified alterations in targets of the cholesterol and mevalonate biosynthetic pathways reflective of zoledronate specific effects. We also identified interleukin-19 (IL-19) among other inflammatory signals such as SERPINA3 and DEFB4 utilising microarray analysis. Release of IL-19 protein was highly induced by an additional four nephrotoxic agents, at magnitudes greater than the characterised marker of renal injury, lipocalin-2. We also demonstrate a large increase in levels of IL-19 in urine of patients with chronic kidney disease, which significantly correlated with estimated glomerular filtration rate levels. We suggest IL-19 as a potential new translational marker of renal injury.

Potassium bromate (KBrO 3 ) is an oxidising agent that has been widely used in the food and cosmetic industries. It has shown to be both a nephrotoxin and a renal carcinogen in in vivo and in vitro models. Here, we investigated the effects of KBrO 3 in the human and rat proximal tubular cell lines RPTEC/TERT1 and NRK-52E. A genome-wide transcriptomic screen was carried out from cells exposed to a sub-lethal concentration of KBrO 3 for 6, 24 and 72 h. Pathway analysis identified “glutathione metabolism”, “Nrf2-mediated oxidative stress” and “tight junction (TJ) signalling” as the most enriched pathways. TJ signalling was less impacted in the rat model, and further studies revealed low transepithelial electrical resistance (TEER) and an absence of several TJ proteins in NRK-52E cells. In RPTEC/TERT1 cells, KBrO 3 exposure caused a decrease in TEER and resulted in altered expression of several TJ proteins. N -Acetylcysteine co-incubation prevented these effects. These results demonstrate that oxidative stress has, in conjunction with the activation of the cytoprotective Nrf2 pathway, a dramatic effect on the expression of tight junction proteins. The further understanding of the cross-talk between these two pathways could have major implications for epithelial repair, carcinogenesis and metastasis.

Ochratoxin A (OTA) is a widely studied compound due to its role in renal toxicity and carcinogenicity. However, there is still no consensus on the exact mechanisms of toxicity or carcinogenicity. In the current study, we analysed the effect of OTA on three human renal proximal tubular models (human primary, RPTEC/TERT1 and HK-2 cells) and two rat renal proximal tubular models (rat primary and NRK-52E cells). Global transcriptomics analysis at two exposure times was performed to generate a set of 756 OTA sensitive genes. This gene set was then compared in more detail across all models and additionally to a rat in vivo renal cortex model. The results demonstrate a well-conserved response across all models. OTA resulted in deregulation of a number of pathways including cytoskeleton, nucleosome regulation, translation, transcription, ubiquitination and cell cycle pathways. Interestingly, the oxidative stress activated Nrf2 pathway was not enriched. These results point to an epigenetic action of OTA, perhaps initiated by actin binding as the actin remodelling gene, advillin was the highest up-regulated in all models. The largest model differences were observed between the human and the rat in vitro models. However, since the human in vitro models were more similar to the rat in vivo model, it is more likely that these differences are model-specific rather than species-specific per se. This study demonstrates the usefulness of in vitro cell culture models combined with transcriptomic analysis for the investigation of mechanisms of toxicity and carcinogenicity. In addition, these results provide further evidence supporting a non-genotoxic mechanism of OTA-induced carcinogenicity.

SEURAT-1 is a joint research initiative between the European Commission and Cosmetics Europe aiming to develop in vitro- and in silico - based methods to replace the in vivo repeated dose systemic toxicity test used for the assessment of human safety. As one of the building blocks of SEURAT-1, the DETECTIVE project focused on a key element on which in vitro toxicity testing relies: the development of robust and reliable, sensitive and specific in vitro biomarkers and surrogate endpoints that can be used for safety assessments of chronically acting toxicants, relevant for humans. The work conducted by the DETECTIVE consortium partners has established a screening pipeline of functional and “-omics” technologies, including high-content and high-throughput screening platforms, to develop and investigate human biomarkers for repeated dose toxicity in cellular in vitro models. Identification and statistical selection of highly predictive biomarkers in a pathway- and evidence-based approach constitute a major step in an integrated approach towards the replacement of animal testing in human safety assessment. To discuss the final outcomes and achievements of the consortium, a meeting was organized in Brussels. This meeting brought together data-producing and supporting consortium partners. The presentations focused on the current state of ongoing and concluding projects and the strategies employed to identify new relevant biomarkers of toxicity. The outcomes and deliverables, including the dissemination of results in data-rich “-omics” databases, were discussed as were the future perspectives of the work completed under the DETECTIVE project. Although some projects were still in progress and required continued data analysis, this report summarizes the presentations, discussions and the outcomes of the project.

Several studies have demonstrated that ochratoxin A (OTA) inhibits the nuclear factor, erythroid 2-like 2 (Nrf2) oxidative stress response pathway. At the cellular level this would attenuate (i) glutathione synthesis; (ii) recycling of oxidised glutathione; (iii) activity of oxidoreductases; and (iv) phase II metabolism inducibility. The effects combined would render the cell and tissue more vulnerable to oxidative stress. Indeed, Nrf2 knock out animals exhibit increased susceptibility to various types of chemical-induced injury. Several studies have shown that OTA exposure can inhibit Nrf2 responses. Such an action would initially lead to increased susceptibility to both physiological and chemical-induced cell stress. However, chronic exposure to OTA may also act as a selective pressure for somatic mutations in Nrf2 or its inhibitor Keap-1, leading to constitutive Nrf2 activation. Nrf2 overexpression confers a survival advantage and is often associated with cancer cell survival. Here we review the evidence for OTA’s role as an Nrf2 inhibitor and discuss the implications of this mechanism in nephrotoxicity and carcinogenicity.

Metabolomics and lipidomics are pivotal in understanding phenotypic variations beyond genomics. However, quantification and comparability of mass spectrometry (MS)-derived data are challenging. Standardised assays can enhance data comparability, enabling applications in multi-center epidemiological and clinical studies. Here we evaluated the performance and reproducibility of the MxP Quant 500 kit across 14 laboratories. The kit allows quantification of 634 different metabolites from 26 compound classes using triple quadrupole MS. Each laboratory analysed twelve samples, including human plasma and serum, lipaemic plasma, NIST SRM 1950, and mouse and rat plasma, in triplicates. 505 out of the 634 metabolites were measurable above the limit of detection in all laboratories, while eight metabolites were undetectable in our study. Out of the 505 metabolites, 412 were observed in both human and rodent samples. Overall, the kit exhibited high reproducibility with a median coefficient of variation (CV) of 14.3 %. CVs in NIST SRM 1950 reference plasma were below 25 % and 10 % for 494 and 138 metabolites, respectively. To facilitate further inspection of reproducibility for any compound, we provide detailed results from the in-depth evaluation of reproducibility across concentration ranges using Deming regression. Interlaboratory reproducibility was similar across sample types, with some species-, matrix-, and phenotype-specific differences due to variations in concentration ranges. Comparisons with previous studies on the performance of MS-based kits (including the AbsoluteIDQ p180 and the Lipidyzer) revealed good concordance of reproducibility results and measured absolute concentrations in NIST SRM 1950 for most metabolites, making the MxP Quant 500 kit a relevant tool to apply metabolomics and lipidomics in multi-center studies.