m+Medelevator.RU
← Поиск публикаций
Regulatory toxicology and pharmacology : RTP · 2026

Application of read-across to data-poor N-nitrosamines: N-nitroso-ulifloxacin, a case study.

СтатьяНазвание и аннотация: Перевод в очереди
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.

Novello Christian, De Marzi Laura, Mastrocola Elena, Bassan Arianna, Zucchi Sara, Boltri Luigi, Pavan Manuela

Аннотация

The read-across approach is recognized as an acceptable methodology for addressing carcinogenic risk associated with N-nitrosamine drug substance-related impurities (NDSRIs) that are data-poor. This work presents a read-across case study that evaluates N-nitroso-ulifloxacin (an impurity lacking toxicological data), using N-nitroso-ciprofloxacin as a surrogate analogue. Comparative analysis of the similarity across the structural, physicochemical, metabolic, and toxicological domains demonstrates a high degree of structural similarity (both global and, most importantly, local), along with comparable physicochemical properties and potentially similar metabolic activation pathways. Both the target and the surrogate fall within the same category under the Carcinogenic Potency Categorization Approach (CPCA). Computational toxicology analysis supports the conclusion that no additional toxicological concerns are identified for the target N-nitrosamine with respect to its analogue, and that the negative in vivo mutagenicity data available for the analogue can be used to gain insights on the carcinogenic potential of the target. Accordingly, N-nitroso-ulifloxacin can be considered a non-mutagenic impurity (NMI) subject to control under ICH Q3B. This case study illustrates how read-across can provide a scientifically justified and regulatory-relevant strategy for establishing acceptable intake limits for data-poor NDSRIs.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты