MedElevator Войти в исследования
← Поиск публикаций

DOI 10.1016/j.yrtph.2022.105159

Медицинская библиотека · Regulatory toxicology and pharmacology : RTP · 2022

Next generation risk assessment for skin allergy: Decision making using new approach methodologies.

Gilmour N, Reynolds J, Przybylak K, Aleksic M, Aptula N, Baltazar M T, Cubberley R, Rajagopal R, Reynolds G, Spriggs S, Thorpe C, Windebank S, Maxwell G

СтатьяПеревод в очереди

Аннотация

Our aim is to develop and apply next generation approaches to skin allergy risk assessment (SARA) that do not require new animal test data and better quantify uncertainties. Significant progress has been made in the development of New Approach Methodologies (NAMs), non-animal test methods, for assessment of skin sensitisation and there is now focus on their application to derive potency information for use in Next Generation Risk Assessment (NGRA). The SARA model utilises a Bayesian statistical approach to infer a human-relevant metric of sensitiser potency and a measure of risk associated with a given consumer exposure based upon any combination of human repeat insult patch test, local lymph node, direct peptide reactivity assay, KeratinoSens™, h-CLAT or U-SENS™ data. Here we have applied the SARA model within our weight of evidence NGRA framework for skin allergy to three case study materials in four consumer products. Highlighting how to structure the risk assessment, apply NAMs to derive a point of departure and conclude on consumer safety risk. NGRA based upon NAMs were, for these exposures, at least as protective as the historical risk assessment approaches. Through such case studies we are building our confidence in using NAMs for skin allergy risk assessment.

Для цитирования: Gilmour N, Reynolds J, Przybylak K, Aleksic M, Aptula N, Baltazar M T, Cubberley R, Rajagopal R, Reynolds G, Spriggs S, Thorpe C, Windebank S, Maxwell G. Next generation risk assessment for skin allergy: Decision making using new approach methodologies.. Regulatory toxicology and pharmacology : RTP. 2022. DOI: 10.1016/j.yrtph.2022.105159.

Предметные рубрики MeSH

Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.