Progress towards an OECD reporting framework for transcriptomics and metabolomics in regulatory toxicology.

Omics methodologies are widely used in toxicological research to understand modes and mechanisms of toxicity. Increasingly, these methodologies are being applied to questions of regulatory interest such as molecular point-of-departure derivation and chemical grouping/read-across. Despite its value, widespread regulatory acceptance of omics data has not yet occurred. Barriers to the routine application of omics data in regulatory decision making have been: 1) lack of transparency for data processing methods used to convert raw data into an interpretable list of observations; and 2) lack of standardization in reporting to ensure that omics data, associated metadata and the methodologies used to generate results are available for review by stakeholders, including regulators. Thus, in 2017, the Organisation for Economic Co-operation and Development (OECD) Extended Advisory Group on Molecular Screening and Toxicogenomics (EAGMST) launched a project to develop guidance for the reporting of omics data aimed at fostering further regulatory use. Here, we report on the ongoing development of the first formal reporting framework describing the processing and analysis of both transcriptomic and metabolomic data for regulatory toxicology. We introduce the modular structure, content, harmonization and strategy for trialling this reporting framework prior to its publication by the OECD.

Vision of a near future: Bridging the human health-environment divide. Toward an integrated strategy to understand mechanisms across species for chemical safety assessment.

There is a growing recognition that application of mechanistic approaches to understand cross-species shared molecular targets and pathway conservation in the context of hazard characterization, provide significant opportunities in risk assessment (RA) for both human health and environmental safety. Specifically, it has been recognized that a more comprehensive and reliable understanding of similarities and differences in biological pathways across a variety of species will better enable cross-species extrapolation of potential adverse toxicological effects. Ultimately, this would also advance the generation and use of mechanistic data for both human health and environmental RA. A workshop brought together representatives from industry, academia and government to discuss how to improve the use of existing data, and to generate new NAMs data to derive better mechanistic understanding between humans and environmentally-relevant species, ultimately resulting in holistic chemical safety decisions. Thanks to a thorough dialogue among all participants, key challenges, current gaps and research needs were identified, and potential solutions proposed. This discussion highlighted the common objective to progress toward more predictive, mechanistically based, data-driven and animal-free chemical safety assessments. Overall, the participants recognized that there is no single approach which would provide all the answers for bridging the gap between mechanism-based human health and environmental RA, but acknowledged we now have the incentive, tools and data availability to address this concept, maximizing the potential for improvements in both human health and environmental RA.

Quantitative assessment of neurite outgrowth in PC12 cells.

In vitro test methods can provide a rapid approach for the screening of large numbers of chemicals for their potential to produce toxicity. In order to identify potential developmental neurotoxicants, assessment of critical neurodevelopmental processes, such as neuronal differentiation and growth has been proposed. PC12 cells have been widely used to study the neurotrophic factor-induced signaling pathways that control differentiation, and as in vitro models to detect the effect of chemicals on neurite outgrowth. Upon exposure to nerve growth factor (NGF), PC12 cells cease to proliferate, extend multiple neurites, and acquire the properties of sympathetic neurons. Measurement of the number and length of neurites during exposure to NGF provides a quantitative assessment of neuronal differentiation and growth. Differentiation and neurite outgrowth can be measured using simple contrast microscopy in live cells, or using automated imaging systems in cells prepared with immunocytochemistry.

In vitro assessment of developmental neurotoxicity: use of microelectrode arrays to measure functional changes in neuronal network ontogeny.

Because the Developmental Neurotoxicity Testing Guidelines require large numbers of animals and is expensive, development of in vitro approaches to screen chemicals for potential developmental neurotoxicity is a high priority. Many proposed approaches for screening are biochemical or morphological, and do not assess function of neuronal networks. In this study, microelectrode arrays (MEAs) were used to determine if chemical-induced changes in function could be detected by assessing the development of spontaneous network activity. MEAs record individual action potential spikes as well as groups of spikes (bursts) in neuronal networks, and activity can be assessed repeatedly over days in vitro (DIV). Primary cultures of rat cortical neurons were prepared on MEAs and spontaneous activity was assessed on DIV 2, 6, 9, 13, and 20 to determine the in vitro developmental profile of spontaneous spiking and bursting in cortical networks. In addition, 5 µM of the protein kinase C inhibitor bisindolylmaleamide-1 (Bis-1) was added to MEAs (n = 9-18) on DIV 5 to determine if changes in spontaneous activity could be detected in response to inhibition of neurite outgrowth. A clear profile of in vitro activity development occurred in control MEAs, with the number of active channels increasing from 0/MEA on DIV 2 to 37 ± 5/MEA by DIV 13; the rate of increase was most rapid between DIV 6 and 9, and activity declined by DIV 20. A similar pattern was observed for the number of bursting channels, as well as the total number of bursts. Bis-1 decreased the number of active channels/MEA and the number of bursting channels/MEA. Burst characteristics, such as burst duration and the number of spikes in a burst, were unchanged by Bis-1. These results demonstrate that MEAs can be used to assess the development of functional neuronal networks in vitro, as well as chemical-induced dysfunction.

Quantitative assessment of neurite outgrowth in human embryonic stem cell-derived hN2 cells using automated high-content image analysis.

Throughout development neurons undergo a number of morphological changes including neurite outgrowth from the cell body. Exposure to neurotoxic chemicals that interfere with this process may result in permanent deficits in nervous system function. Traditionally, rodent primary neural cultures and immortalized human and non-human clonal cell lines have been used to investigate the molecular mechanisms controlling neurite outgrowth and examine chemical effects on this process. The present study characterizes the molecular phenotype of hN2 human embryonic stem cell (hESC)-derived neural cells and uses automated high-content image analysis to measure neurite outgrowth in vitro. At 24h post-plating hN2 cells express a number of protein markers indicative of a neuronal phenotype, including: nestin, beta(III)-tubulin, microtubule-associated protein 2 (MAP2) and phosphorylated neurofilaments. Neurite outgrowth in hN2 cells proceeded rapidly, with a majority of cells extending one to three neurites by 48h in culture. In addition, concentration-dependent decreases in neurite outgrowth and ATP-content were observed following treatment of hN2 cells with either bisindolylmaleimide I, U0126, lithium chloride, sodium orthovanadate and brefeldin A, all of which have previously been shown to inhibit neurite outgrowth in primary rodent neural cultures. Overall, the molecular phenotype, rate of neurite outgrowth and sensitivity of hN2 cells to neurite outgrowth inhibitors were comparable to other in vitro models previously characterized in the literature. hN2 cells provide a model in which to investigate chemical effects on neurite outgrowth in a non-transformed human-derived cells and provide an alternative to the use of primary rodent neural cultures or immortalized clonal cell lines.