Evaluation of the predictivity of Acute Oral Toxicity (AOT) structure-activity relationship models.

Several public efforts are aimed at discovering patterns or classifiers in the high-dimensional bioactivity space that predict tissue, organ or whole animal toxicological endpoints. The current study sought to assess and compare the predictions of the Globally Harmonized System (GHS) categories and Dangerous Goods (DG) classifications based on Lethal Dose (LD50) from several available tools (ACD/Labs, Leadscope, T.E.S.T., CATMoS, CaseUltra). External validation was done using dataset of 375 substances to demonstrate their predictive capacity. All models showed very good performance for identifying non-toxic compounds, which would be useful for DG classification, developing or triaging new chemicals, prioritizing existing chemicals for more detailed and rigorous toxicity assessments, and assessing non-active pharmaceutical intermediates. This would ultimately reduce animal use and improve risk assessments. Category-to-category prediction was not optimal, mainly due to the tendency to overpredict the outcome and the general limitations of acute oral toxicity (AOT) in vivo studies. Overprediction does not specifically pose a risk to human health, it can impact transport and material packaging requirements. Performance for compounds with LD50 ≤ 300 mg/kg (approx. 5% of the dataset) was the poorest among all groups and could be potentially improved by including expert review and read-across to similar substances.

Principles and Procedures for Assessment of Acute Toxicity Incorporating In Silico Methods.

Acute toxicity in silico models are being used to support an increasing number of application areas including (1) product research and development, (2) product approval and registration as well as (3) the transport, storage and handling of chemicals. The adoption of such models is being hindered, in part, because of a lack of guidance describing how to perform and document an in silico analysis. To address this issue, a framework for an acute toxicity hazard assessment is proposed. This framework combines results from different sources including in silico methods and in vitro or in vivo experiments. In silico methods that can assist the prediction of in vivo outcomes (i.e., LD50) are analyzed concluding that predictions obtained using in silico approaches are now well-suited for reliably supporting assessment of LD50-based acute toxicity for the purpose of GHS classification. A general overview is provided of the endpoints from in vitro studies commonly evaluated for predicting acute toxicity (e.g., cytotoxicity/cytolethality as well as assays targeting specific mechanisms). The increased understanding of pathways and key triggering mechanisms underlying toxicity and the increased availability of in vitro data allow for a shift away from assessments solely based on endpoints such as LD50, to mechanism-based endpoints that can be accurately assessed in vitro or by using in silico prediction models. This paper also highlights the importance of an expert review of all available information using weight-of-evidence considerations and illustrates, using a series of diverse practical use cases, how in silico approaches support the assessment of acute toxicity.

A cross-industry collaboration to assess if acute oral toxicity (Q)SAR models are fit-for-purpose for GHS classification and labelling.

This study assesses whether currently available acute oral toxicity (AOT) in silico models, provided by the widely employed Leadscope software, are fit-for-purpose for categorization and labelling of chemicals. As part of this study, a large data set of proprietary and marketed compounds from multiple companies (pharmaceutical, plant protection products, and other chemical industries) was assembled to assess the models' performance. The absolute percentage of correct or more conservative predictions, based on a comparison of experimental and predicted GHS categories, was approximately 95%, after excluding a small percentage of inconclusive (indeterminate or out of domain) predictions. Since the frequency distribution across the experimental categories is skewed towards low toxicity chemicals, a balanced assessment was also performed. Across all compounds which could be assigned to a well-defined experimental category, the average percentage of correct or more conservative predictions was around 80%. These results indicate the potential for reliable and broad application of these models across different industrial sectors. This manuscript describes the evaluation of these models, highlights the importance of an expert review, and provides guidance on the use of AOT models to fulfill testing requirements, GHS classification/labelling, and transportation needs.

Deriving harmonised permitted daily exposures (PDEs) for paracetamol (acetaminophen) CAS #: 103-90-2.

In the pharmaceutical industry, cleaning criteria are required for multipurpose manufacturing facilities. These Health Based Exposure Limits (HBELs), also called permitted daily exposures (PDEs) values, are derived from toxicological and pharmacological evaluation of the active pharmaceutical ingredients (APIs). The purpose of this publication is to show an example of how authors from different companies evaluate a generic drug, paracetamol, and discuss different approaches and relevance of the nonclinical studies for deriving PDEs. PDE limits of 25 mg/day for the oral route, and 20 mg/day for the intravenous (i.v.) and inhalation (inhal.) routes, respectively, were established herein. However, it has been already recognised that there are acceptable differences in the PDE calculations, which may be based on data accessibility, company-specific science-policy decisions or expert judgments. These differences can cause up to a 3-fold lower or higher values. If unnecessarily high factors are applied, this would result in a very conservative PDE value and unneeded additional cleaning and higher manufacturing costs. The PDE values presented are considered to be protective against adverse and pharmacological effects observed in clinical trials and in this case, a very long postmarketing period of paracetamol.

Determination and application of the permitted daily exposure (PDE) for topical ocular drugs in multipurpose manufacturing facilities.

Limits for the carry-over of product residues should be based on toxicological evaluation such as described in the "Guideline on setting health based exposure limits for use in risk identification in the manufacture of different medicinal products in shared facilities". The toxicological evaluation should be performed also for locally administered drugs to ensure patient safety. Currently, there is no guidance on setting PDE for ocular drug substances in particular. The purpose of this investigation was to identify and describe a method for calculating a PDE value for topical ocular drugs (PDEocular). As an alternative method, extrapolation of a PDE for systemically administered drugs to a PDEocular is presented. These methods may be applied in cross-contamination risk assessments for manufacturing of topical ocular drugs. Similarly, the methods apply to systemically administered drugs, if their production precedes manufacturing of a topical ocular drug. We have examined pharmacokinetic (PK) properties of topical ocular drugs and compared them to the PK parameters of systemically administered drugs. Furthermore, we examined possible adverse effects of the carry-over in topical ocular drugs at therapeutic doses.

Pharmacovigilance of herbal medicines.

The importance of herbal remedies in pharmacovigilance systems is becoming one of the primary tasks, due to the constantly ascending potential of herbal products and herbal medicines worldwide. Nowadays, the drug development is focused on finding new active compounds or combinations, but costs are simultaneously growing, which makes herbal medicines an attractive, harmless and cheaper alternative to synthetic drugs.Like all drugs, herbal are not free of risk and many studies suggest for potential adverse reactions and interactions. Available statistics show that some herbal products, used in traditional medication for generations, may possess carcinogenic, hepatotoxic, cardiotoxic and other severe actions. Evaluation of the safety should include at least in vitro and in vivo genotoxicity assays, long-term rodent carcinogenicity tests (for drugs intended to be continuously used for >3 months or intermittently for >6 months), reproductive and developmental toxicity studies in some cases and examination of the effects on drug-metabolizing enzymes. Drug safety of herbal medicines should be developed, focusing on specific groups of patients.