| Literature DB >> 35486138 |
Fiona Sewell1, Marco Corvaro2, Amanda Andrus3, Jonathan Burke4, George Daston5, Bryan Delaney6, Jeanne Domoradzki7, Carole Forlini8, Maia Louise Green9, Thomas Hofmann10, Sven Jäckel11, Moung Sook Lee12, Michael Temerowski13, Paul Whalley14, Richard Lewis14.
Abstract
Prior to registering and marketing any new pharmaceutical, (agro)chemical or food ingredient product manufacturers must, by law, generate data to ensure human safety. Safety testing requirements vary depending on sector, but generally repeat-dose testing in animals form the basis for human health risk assessments. Dose level selection is an important consideration when designing such studies, to ensure that exposure levels that lead to relevant hazards are identified. Advice on dose level selection is provided in test guidelines and allied guidance documents, but it is not well harmonised, particularly for selection of the highest dose tested. This paper further builds on concepts developed in a technical report by the European Centre for Ecotoxicology and Toxicology of Chemicals (ECETOC) which recommends pragmatic approaches to dose selection considering regulatory requirements, animal welfare and state of the art scientific approaches. Industry sectors have differing degrees of freedom to operate regarding dose level selection, depending on the purpose of the studies and the regulatory requirements/legislation, and this is reflected in the overall recommended approaches. An understanding of systemic exposure should be utilised where possible (e.g., through toxicokinetic approaches) and used together with apical endpoints from existing toxicity studies to guide more appropriate dose level selection. The highest dose should be limited to a reasonable level, causing minimal but evident toxicity to the test animals without significantly compromising their well-being. As the science of predictive human exposure further develops and matures, this will provide exciting and novel opportunities for more human-relevant approaches to dose level selection.Entities:
Keywords: 3Rs; Dose selection; Exposure; Toxicokinetics
Mesh:
Year: 2022 PMID: 35486138 PMCID: PMC9151511 DOI: 10.1007/s00204-022-03293-3
Source DB: PubMed Journal: Arch Toxicol ISSN: 0340-5761 Impact factor: 6.168
Cross-sector comparison of challenges for dose selection within toxicity studies, and opportunities to use kinetic data
| Pharmaceuticals | Agrochemicals | Industrial chemicals | Food | |
|---|---|---|---|---|
| Purpose and consequence of regulatory toxicology studies | ▪To support/enable dose selection in human clinical trials and/or subsequent in vivo animal toxicology studies ▪Additional clinical monitoring or clinical holds can be placed | ▪Studies used for CLP and risk assessment ▪Product can be banned based on specific hazards (e.g., carcinogen, mutagen, DART) | ▪Studies used for CLP and risk assessment ▪Clarify a concern that the manufacture and/or use of the substances could pose a risk to human health or the environment ▪Product can be banned based on specific hazards (e.g., carcinogen, mutagen, DART) | ▪Studies used for CLP and risk assessment ▪Product could be classified by regulatory agencies based on results observed in high dose (i.e., limit dose) toxicology studies that are not relevant for human exposure |
| Available guidance on dose selection | Generally harmonised and flexible e.g., ICH, but some regional differences | ▪Some, but not always harmonised e.g., differences in OECD TGs, OECD guidance documents, EPA or other regional guidance | ▪Some but not always harmonised, e.g., differences in OECD TGs, and EPA (or other) regional guidance | ▪Limit dose normally expected unless otherwise justified |
| Dialogue with regulators | ▪Encouraged | ▪Not usual; where possible, lack of consistency in regulatory positions between and within regions | ▪Not usual | ▪Not common and can lack consistency in positions |
| Knowledge of Mechanism of Action (MOA) | ▪Yes, pharmacological/off-target MOA generally known | ▪Yes, biological MOA generally known, may be related or not to toxicity MoA | ▪MOA rarely known | ▪MOA rarely known |
| Challenges relating to dose selection for toxicity studies | ▪Define a NOAEL or STD10/HNSTD to enable the calculation of the dose levels for the first clinical trial in human | ▪Current toxicity testing paradigms often require doses used to exert toxic effects ▪Limited human data (mostly in vitro) ▪Limited PBPK models pharma-focussed; dietary, dermal, inhalatory routes of exposure ▪CLP requirements are hazard-focused | ▪Current toxicity testing paradigms require that high doses are used to exert toxic effects ▪Using a relevant high dose to avoid the need to repeat the study (animal welfare, additional costs, lost time) ▪Rarely able to generate human data ▪Limited PBPK models and existing ones pharma-focussed; oral route of exposure only ▪CLP requirements are hazard-focused | ▪Some current toxicity testing paradigms require doses that produce toxic effects ▪Mixtures − kinetic analysis challenging particularly for dietary exposure studies ▪Rarely able to generate human data ▪CLP requirements are hazard-focused |
| Approaches applied to understand exposure on toxicity studies | ▪PK incorporated on to studies as standard to inform dose setting and understand internal dose ▪Microsampling approaches in use to reduce need for additional TK satellite groups ▪Refined dose-setting is accepted in general toxicity studies (e.g., ICH M3 R2: 50 ×) ▪Mathematical PBPK models routinely used to establish internal exposures, especially following oral exposure ▪TTC approach accepted for genotoxic impurities ▪QSAR approaches in use/development | ▪Kinetic information starting to be used for dose setting and to understand internal dose, e.g., via dose proportionality ▪Microsampling approaches in use to reduce need for additional TK satellite groups ▪Use of PBPK models starting to be explored to predict internal human exposures ▪Limited use of QSARs, e.g., for read-across ▪Biomonitoring data available for some occupational exposures, usually post-marketing (useful for read-across) | ▪Use of preliminary study with fewer animals ▪No obligation to generate kinetic data, e.g., for REACH ▪Difficult to generate kinetic data for UVCBs ▪Biomonitoring data being generated on selected chemicals in the general population ▪Limited use of QSARs or read-across | ▪Kinetic data generally not generated ▪Limited use of QSARs ,e.g., for read-across |
| Opportunities and recommendations | ▪Pharmaceuticals are evaluated by a risk-assessment and not by a hazard assessment ▪Dose level at the NOAEL in rodents and non-rodents can be used for the calculation of the first dose in human healthy volunteers ▪Use of MABEL approach for the calculation of the first dose in humans for high risk molecules ▪Exposure at the predicted therapeutic human dose can be used as justification for the dose levels in first toxicological studies ▪Comparative metabolism and kinetic data can be used to select the most appropriate species | ▪Use of the minimally toxic dose for chronic and carcinogenicity studies is well accepted for classification purposes and should be extended to shorter term studies i.e., a top dose level based on no more than a 10% decrease in weight gain over the duration of treatment may be considered adequate ▪In addition to “toxicities”, dose level selection should be based on an understanding of TK/ADME ▪Dose levels should be guided by a knowledge or a prediction of human dietary exposure using a margin of exposure approach rather selecting maximum tolerable dose levels (i.e., test multiple of predicted human exposure levels) | ▪By using toxicokinetics for UVCBs it may be able to generate kinetic data for constituents of concern only, to inform dose selection | ▪A risk-based approach should be considered—a hazard-based approach is likely to “identify” hazards that are often many orders or magnitude in excess of any possibility of human exposure ▪It can normally be demonstrated that humans are exposed to very low doses ▪Often very low doses can be used to meet the scientific objectives and application of standard uncertainty factors ▪The entire body of information should be considered before determining the doses to be administered in repeated dose toxicology studies (e.g., in silico methodology, in vitro studies, range finding studies, TK data, read-across) |
Updated from Table 1 in Sewell et al 2017 and Table 3 in ECETOC Report 138, 2021
ADME absorption, distribution, metabolism and excretion, CLP classification labelling and packaging, DART developmental and reproductive toxicology, EPA US environmental protection agency, HNSTD highest non-severely toxic dose, ICH the international council for harmonisation of technical requirements for pharmaceuticals for human use, MABEL minimal anticipated biological effect level, MOA mechanism of action, NOAEL no observed adverse effect level, OECD organisation for economic co-operation and development, PBPK physiological based pharmacokinetic, REACH registration evaluation authorisation and restriction of chemicals, STD10 severely toxic dose in 10% of the animals, TG test guideline, TK toxicokinetics, TTC threshold of toxicological concern, UVCBs substances of unknown or variable composition complex reaction or biological materials, QSAR quantitative structure–activity relationship
Fig. 1Use of TK data in the design of toxicity studies. The decision flowchart depicts to what extent and in which cases TK information can be integrated in the selection of the high dose for toxicity studies
Fig. 2Examples of integration of pharmacokinetics (PK) into dose selection according to the proposed flowchart (Fig. 1). Graphs represent data from 90-day studies. In Case example 1, the group mean and standard error are depicted; dashed lines represent projection of theoretical dose proportional AUCs; in Case example 2, individual male animal data are depicted (filled circles); the blue line depicts the theoretical projection of dose proportionality based on the mean value. In both graphs, dose is test material intake in mg/kg/day