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Step 2 Include relevant substances |
Start with the broadest group possible. Use (Q)SARs to check if additional substances should be included. Include substances under regulatory scrutiny (For EDs: Regulatorily identified EDs) or registered in high tonnages under REACH for use as source substances if possible Use well-argued inclusion and exclusion criteria, refrain from excluding substances based on current regulatory status or use. Make sure that all substances are characterized in detail, including impurity profiles.
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Step 3 Produce a data matrix |
Include in silico, in vitro, in vivo data Include relevant metabolites and ADME data For EDs: Consider complex hazard profiles, including different effects depending on timing of exposure and investigation, low dose and non-monotonic effects etc.
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Step 4 Redefine the group and define sub-groups, as appropriate |
For EDs: Consider that different molecular moieties may be relevant for different mechanisms and thereby modes of action and adverse effects. Some overlap may occur, but this should ideally be analyzed and described. For EDs: Consider that many endocrine disruptors act through more than one mechanism/mode of action and that several different mechanisms/mode of actions can lead to the same adverse effects. Consider that if in vitro data are used to define sub-groups, ADME must be considered and that if ADME/in vivo information is considered, the sub-groups may have different boundaries. Use QSARs to check if more substances could be added to the (sub-)group.
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Step 5 Read-across to fill data gaps |
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Step 6 Conclude on results, revisit the hypothesis, as apppropriate |