The Adverse Outcome Pathway approach in nanotoxicology

n/

Evaluation of the availability and applicability of computational approaches in the safety assessment of nanomaterials: Final report of the Nanocomput project

This is the final report of the Nanocomput project, the main aims of which were to review the current status of computational methods that are potentially useful for predicting the properties of engineered nanomaterials, and to assess their applicability in order to provide advice on the use of these approaches for the purposes of the REACH regulation. Since computational methods cover a broad range of models and tools, emphasis was placed on Quantitative Structure-Property Relationship (QSPR) and Quantitative Structure-Activity Relationship (QSAR) models, and their potential role in predicting NM properties. In addition, the status of a diverse array of compartment-based mathematical models was assessed. These models comprised toxicokinetic (TK), toxicodynamic (TD), in vitro and in vivo dosimetry, and environmental fate models. Finally, based on systematic reviews of the scientific literature, as well as the outputs of the EU-funded research projects, recommendations for further research and development were also made. The Nanocomput project was carried out by the European Commission’s Joint Research Centre (JRC) for the Directorate-General (DG) for Internal Market, Industry, Entrepreneurship and SMEs (DG GROW) under the terms of an Administrative Arrangement between JRC and DG GROW. The project lasted 39 months, from January 2014 to March 2017, and was supported by a steering group with representatives from DG GROW, DG Environment and the European Chemicals Agency (ECHA).JRC.F.3-Chemicals Safety and Alternative Method

Altered intrahemispheric structural connectivity in Gilles de la Tourette syndrome

Gilles de la Tourette syndrome (GTS) is a common developmental neuropsychiatric disorder characterized by tics and frequent psychiatric comorbidities, often causing significant disability. Tic generation has been linked to disturbed networks of brain areas involved in planning, controlling and execution of actions, particularly structural and functional disorders in the striatum and cortico-striato-thalamo-cortical loops. We therefore applied structural diffusion tensor imaging (DTI) to characterize changes in intrahemispheric white matter connectivity in cortico-subcortical circuits engaged in motor control in 15 GTS patients without psychiatric comorbidities. White matter connectivity was analyzed by probabilistic fiber tractography between 12 predefined cortical and subcortical regions of interest. Connectivity values were combined with measures of clinical severity rated by the Yale Global Tic Severity Scale (YGTSS). GTS patients showed widespread structural connectivity deficits. Lower connectivity values were found specifically in tracts connecting the supplementary motor areas (SMA) with basal ganglia (pre-SMA-putamen, SMA-putamen) and in frontal cortico-cortical circuits. There was an overall trend towards negative correlations between structural connectivity in these tracts and YGTSS scores. Structural connectivity of frontal brain networks involved in planning, controlling and executing actions is reduced in adult GTS patients which is associated with tic severity. These findings are in line with the concept of GTS as a neurodevelopmental disorder of brain immaturity

A high throughput imaging database of toxicological effects of nanomaterials tested on HepaRG cells

The large amount of existing nanomaterials demands rapid and reliable methods for testing their potential toxicological effect on human health, preferably by means of relevant in vitro techniques in order to reduce testing on animals. Combining high throughput workflows with automated high content imaging techniques allows deriving much more information from cell-based assays than the typical readouts (i.e. one measurement per well) with optical plate-readers. We present here a dataset including data based on a maximum of 14 different read outs (including viable cell count, cell membrane permeability, apoptotic cell death, mitochondrial membrane potential and steatosis) of the human hepatoma HepaRG cell line treated with a large set of nanomaterials, coatings and supernatants at different concentrations. The database, given its size, can be utilized in the development of in silico hazard assessment and prediction tools or can be combined with toxicity results from other in vitro test systems.peer-reviewe

Comparing unilateral and bilateral upper limb training: The ULTRA-stroke program design

<p>Abstract</p> <p>Background</p> <p>About 80% of all stroke survivors have an upper limb paresis immediately after stroke, only about a third of whom (30 to 40%) regain some dexterity within six months following conventional treatment programs. Of late, however, two recently developed interventions - constraint-induced movement therapy (CIMT) and bilateral arm training with rhythmic auditory cueing (BATRAC) - have shown promising results in the treatment of upper limb paresis in chronic stroke patients. The ULTRA-stroke (acronym for Upper Limb TRaining After stroke) program was conceived to assess the effectiveness of these interventions in subacute stroke patients and to examine how the observed changes in sensori-motor functioning relate to changes in stroke recovery mechanisms associated with peripheral stiffness, interlimb interactions, and cortical inter- and intrahemispheric networks. The present paper describes the design of this single-blinded randomized clinical trial (RCT), which has recently started and will take several years to complete.</p> <p>Methods/Design</p> <p>Sixty patients with a first ever stroke will be recruited. Patients will be stratified in terms of their remaining motor ability at the distal part of the arm (i.e., wrist and finger movements) and randomized over three intervention groups receiving modified CIMT, modified BATRAC, or an equally intensive (i.e., dose-matched) conventional treatment program for 6 weeks. Primary outcome variable is the score on the Action Research Arm test (ARAT), which will be assessed before, directly after, and 6 weeks after the intervention. During those test sessions all patients will also undergo measurements aimed at investigating the associated recovery mechanisms using haptic robots and magneto-encephalography (MEG).</p> <p>Discussion</p> <p>ULTRA-stroke is a 3-year translational research program which aims (1) to assess the relative effectiveness of the three interventions, on a group level but also as a function of patient characteristics, and (2) to delineate the functional and neurophysiological changes that are induced by those interventions.</p> <p>The outcome on the ARAT together with information about changes in the associated mechanisms will provide a better understanding of how specific therapies influence neurobiological changes, and which post-stroke conditions lend themselves to specific treatments.</p> <p>Trial Registration</p> <p>The ULTRA-stroke program is registered at the Netherlands Trial Register (NTR, <url>http://www.trialregister.nl</url>, number NTR1665).</p

The Adverse Outcome Pathway approach in nanotoxicology

An Adverse Outcome Pathway (AOP) is a conceptual construct that describes existing knowledge on the link between a molecular initiating event and an adverse outcome. A sequential chain of causally related events is portrayed at different levels of biological organisation. AOPs are considered to be useful mechanistic blueprints for the development of novel tools for human and environmental risk assessment. Following OECD guidance, an increasing number of AOPs for chemically-induced adverse effects in humans and environmental species are being proposed. Due to their unique properties, the toxicity of nanomaterials (NMs) and chemicals is often difficult to directly compare since their modes of actions usually differ. While there are still many knowledge gaps in our understanding of NM toxicity, an ever increasing number of mechanistic studies are shedding light on their toxicokinetic and toxicodynamic properties. In this paper, we argue that the differences between NM and chemically induced adversity are primarily related to differences in toxicokinetics and the nature of the initial key events in the AOP. Consequently, much of the mechanistic knowledge captured by AOPs that have been developed from consideration of chemical induced toxicity is also relevant to describe AOPs of NMs, at least in qualitative terms, and thus can be used to inform predictive modelling of NM-toxicity. In support of these claims, we illustrate how the AOP framework can be used to rationally combine mechanistic knowledge relating to both NM- and chemically-induced liver toxicity to fill information gaps and guide the development of toxicity testing strategies.JRC.F.3-Chemicals Safety and Alternative Method

Grouping of multi-walled carbon nanotubes to read-across genotoxicity: A case study to evaluate the applicability of regulatory guidance

Multi-walled carbon nanotubes (MWCNTs) consist of multiple layers of graphene sheets in a tubular shape. Depending on the synthesis and purification method, MWCNTs may differ in size, shape, rigidity and other properties. Previous research has shown that physicochemical properties can influence the translocation and toxicity of MWCNTs. Extensive in vitro and in vivo testing may be required to characterise the hazard of various physical forms of MWCNTs. Grouping of MWCNTs to read-across data for toxicological endpoints could efficiently contribute to reduce and focus MWCNT testing. This paper describes a case study to explore and illustrate read-across of genotoxicity data by following the “Recommendations for nanomaterials applicable to the Guidance on QSARs and Grouping”, developed by the European Chemicals Agency (ECHA). The grouping hypothesis was supported by the use of chemoinformatics techniques such as hierarchical clustering and principal components analysis. The uncertainties of the present case study were evaluated using the Read-Across Assessment Framework (RAAF) developed by ECHA. While the aim of this study was not to conduct a hazard assessment, the study data chosen for illustrative purposes suggest that the MWCNTs analogues selected are not genotoxic. No (major) differences between the analogues were observed which could be attributed to differences in physicochemical properties such as length, diameter or rigidity/straightness. Such properties, however, may have an impact on other hazard endpoints such as carcinogenicity. This study shows the practical application of the ECHA framework for grouping of nanomaterials (NMs) as well as use of the ECHA RAAF for NMs, and how this can be supported by chemoinformatics techniques. Some adaptations to the workflow are suggested for a more practical and straightforward narrative in the reporting

Grouping of multi-walled carbon nanotubes to read across genotoxicity: a case study to evaluate the applicability of regulatory guidance

Multi-walled carbon nanotubes (MWCNTs) consist of multiple layers of graphene sheets in a tubular shape. Due to their specific material properties, such as electrical and thermal conductivity, strength, rigidity, and toughness they are useful in a wide variety of applications in electronics, optics and other fields of materials science. Depending on the synthesis and purification method, MWCNTs may differ in size, shape, rigidity and other properties. Previous research has shown that physicochemical properties can influence the translocation and toxicity of MWCNTs. This paper describes a case study following the “Recommendations for nanomaterials applicable to the Guidance on QSARs and Grouping”, developed by the European Chemicals Agency (ECHA). Based on the data availability genotoxicity was selected as the hazard endpoint to explore and illustrate read across. The grouping hypothesis was supported by the use of chemoinformatics techniques such as hierarchical clustering and principal components analysis. The uncertainties of the present case study were evaluated using the Read-Across Assessment Framework (RAAF) developed by ECHA. This study shows the practical application of the ECHA framework for grouping of nanomaterials (NMs) as well as use of the ECHA RAAF for NMs, and how this can be supported by chemoinformatics techniques. Some adaptations to the workflow are suggested for a more practical and straightforward narrative in the reporting.JRC.F.3-Chemicals Safety and Alternative Method

Practical use of the Virtual Cell Based Assay: Simulation of repeated exposure experiments in liver cell lines

The Virtual Cell Based Assay (VCBA) was applied to simulate the long-term (repeat dose) toxic effects of chemicals, including substances in cosmetics and personal care products. The presented model is an extension of the original VCBA for simulation of single exposure and is implemented in a KNIME workflow. This work illustrates the steps taken to simulate the repeated dose effects of two reference compounds, caffeine and amiodarone. Using caffeine, in vitro experimental viability data in single exposure from two human liver cell lines, HepG2 and HepaRG, were measured and used to optimize the VCBA, subsequently repeated exposure simulations were run. Amiodarone was then tested and simulations were performed under repeated exposure conditions in HepaRG. The results show that the VCBA can adequately predict repeated exposure experiments in liver cell lines. The refined VCBA model can be used not only to support the design of long term in vitro experiments but also practical applications in risk assessment. Our model is a step towards the development of in silico predictive approaches to replace, refine, and reduce the in vivo repeated dose systemic toxicity studies in the assessment of human safety.JRC.F.3-Chemicals Safety and Alternative Method