Adverse outcome pathways (AOPs) are a recent toxicological construct that connects, in a formalized, transparent and quality-controlled way, mechanistic information to apical endpoints for regulatory purposes. AOP links a molecular initiating event (MIE) to the adverse outcome (AO) via key events (KE), in a way specified by key event relationships (KER). Although this approach to formalize mechanistic toxicological information only started in 2010, over 200 AOPs have already been established. At this stage, new requirements arise, such as the need for harmonization and re-assessment, for continuous updating, as well as for alerting about pitfalls, misuses and limits of applicability. In this review, the history of the AOP concept and its most prominent strengths are discussed, including the advantages of a formalized approach, the systematic collection of weight of evidence, the linkage of mechanisms to apical end points, the examination of the plausibility of epidemiological data, the identification of critical knowledge gaps and the design of mechanistic test methods. To prepare the ground for a broadened and appropriate use of AOPs, some widespread misconceptions are explained. Moreover, potential weaknesses and shortcomings of the current AOP rule set are addressed (1) to facilitate the discussion on its further evolution and (2) to better define appropriate vs. less suitable application areas. Exemplary toxicological studies are presented to discuss the linearity assumptions of AOP, the management of event modifiers and compensatory mechanisms, and whether a separation of toxicodynamics from toxicokinetics including metabolism is possible in the framework of pathway plasticity. Suggestions on how to compromise between different needs of AOP stakeholders have been added. A clear definition of open questions and limitations is provided to encourage further progress in the field.
Glycosylphosphatidylinositol-anchored prion protein and Thy-1, found in adjacent microdomains or "rafts" on the neuronal surface, traffic very differently and show distinctive differences in their resistance to detergent solubilization. Monovalent immunogold labeling showed that the two proteins were largely clustered in separate domains on the neuronal surface: 86% of prion protein was clustered in domains containing no Thy-1, although 40% of Thy-1 had a few molecules of prion protein associated with it. Only 1% of all clusters contained appreciable levels of both proteins (>3 immunogold label for both). In keeping with this distribution, immunoaffinity isolation of detergent-resistant membranes (DRMs) using the non-ionic detergent Brij 96 yielded prion protein DRMs with little Thy-1, whereas Thy-1 DRMs contained ϳ20% of prion protein. The lipid content of prion protein and Thy-1 DRMs was measured by quantitative nano-electrospray ionization tandem mass spectrometry. In four independent preparations, the lipid content was highly reproducible, with Thy-1 and prion protein DRMs differing markedly from each other and from the total DRM pool from which they were immunoprecipitated. Prion protein DRMs contained significantly more unsaturated, longer chain lipids than Thy-1 DRMs and had 5-fold higher levels of hexosylceramide. The different lipid compositions are in keeping with the different trafficking dynamics and solubility of the two proteins and show that, under the conditions used, DRMs can isolate individual membrane microenvironments. These results further identify unsaturation and glycosylation of lipids as major sources of diversity of raft structure.The separation of membrane lipids into different phases creates diverse microenvironments within a biological membrane (1, 2). In particular, cholesterol is believed to condense with saturated phosphatidylcholine (PC) 1 and sphingomyelin (SM) to form minute patches (40 -100 nm wide) of lipids in a liquid-ordered phase (3-7), creating specialized lipid microenvironments called "rafts" within the disordered fluid phase formed by unsaturated lipids (8). These ordered microdomains control the access and egress of subsets of membrane proteins, regulating signaling systems at the cell surface (9). liquidordered domains resist solubilization in non-ionic detergents (6, 7, 10 -13), enabling them to be isolated as detergent-resistant membranes (DRMs) that float at low density upon gradient centrifugation (14). Lipid-anchored proteins partition into both leaflets of these domains, the glycosylphosphatidylinositol (GPI)-anchored proteins into the outer (surface) layer and the diacylated cytoplasmic proteins into the inner layer (9, 15, 16). The membrane environment of GPI-anchored prion protein (PrP) is of particular interest since it is a candidate for chaperoning the conversion of PrP to the altered pathogenic conformation associated with prion disease (17-19). Immunolabeling shows PrP to be present on the neuronal surface in different, albeit often closely adjacent, d...
Sphingomyelin is enriched within lipid microdomains of the cell membrane termed lipid rafts. These microdomains play a part in regulating a variety of cellular events. Computer simulations of the hydrogen-bonding properties of sphingolipids, believed to be central to the organization of these domains, can delineate the possible molecular interactions that underlie this lipid structure. We have therefore used molecular dynamics simulations to unravel the hydrogen-bonding behavior of palmitoylsphingomyelin (PSM). A series of eight simulations of 3 ns each of a single PSM molecule in water showed that the sphingosine OH and NH groups can form hydrogen bonds with the phosphate oxygens of their own polar head, in agreement with NMR data. Simulations of PSM in a bilayer assembly were carried out for 8 ns with three different force field parameterizations. The major physico-chemical parameters of the simulated bilayer agree with those established experimentally. The sphingosine OH group was mainly involved in intramolecular hydrogen bonds, in contrast to the almost exclusive intermolecular hydrogen bonds formed by the amide NH moiety. During the bilayer simulations the intermolecular hydrogen bonds among lipids formed a dynamic network characterized by the presence of hydrogen-bonded lipid clusters of up to nine PSM molecules.
Zebrafish (Danio rerio) is a widely used model for toxicological studies, in particular those related to investigations on endocrine disruption. The development and regulatory use of in vivo and in vitro tests based on this species can be enhanced by toxicokinetic modeling. For this reason, we propose a physiologically based toxicokinetic (PBTK) model for zebrafish describing the uptake and disposition of organic chemicals. The model is based on literature data on zebrafish, other cyprinidae and other fish families, new experimental physiological information (volumes, lipids and water contents) obtained from zebrafish, and chemical-specific parameters predicted by generic models. The relevance of available models predicting the latter parameters was evaluated with respect to gill uptake and partition coefficients in zebrafish. This evaluation benefited from the fact that the influence of confounding factors such as body weight and temperature on ventilation rate was included in our model. The predictions for six chemicals (65 data points) yielded by our PBTK model were compared to available toxicokinetics data for zebrafish and 88% of them were within a factor of 5 of the corresponding experimental values. Sensitivity analysis highlighted that the 1-octanol/water partition coefficient, the metabolism rate, and all the parameters that enable the prediction of assimilation efficiency and partitioning of chemicals need to be precisely determined in order to allow an effective toxicokinetic modeling.
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