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Tytuł: Comparative analysis of methods for assessing the irritant and allergic potentia! of cosmetic ingredients in the context of the ban on animal testing

Autor:

Kalicińska, Jadwiga

Data:

2023

Typ:

Praca doktorska

Abstrakt:

In 2004, a ban on testing cosmetic products on animals has come into force in the EU, however, the question arises whether in vitro methods reliably reflect processes occurring in the human body. The aim of this study was I to compare the allowed in vitro methods with historical I data and to develop an in silico model as a possible altemative. Based on the analysis of the literature, a list of irritating or sensitizing cosmetic ingredients was established and compared with the published results of I I human, animal and in vitro studies. Using WEKA software, an in silico model was created to assess the sensitization potentia! of cosmetic ingredients based on physicochemical properties. The model was trained using epidemiological data compiled into indices of eOR ( estimated odds ratio) and eAR ( estimated attributable risk) for 78 ingredients. Among the tested in silico models, the best results were obtained with the Naive Bayes model based on the eAR index and trained with 9 descriptors - its accuracy was 86%, sensitivity 80%, and specificity 90%. This model can also be used in the evaluation of drugs for extemal use. Conclusion: The developed in silico model allows to predict the sensitizing potential of cosmetic ingredients with an accuracy comparable to historical results of animal tests and currently used in vitro tests, yet at a much lower cost.

Miejsce wydania:

Kraków

Stopień studiów:

2 - studia doktoranckie

Dyscyplina:

dermatologia

Instytucja nadająca tytuł:

Rada Dyscypliny Nauki farmaceutyczne

Promotor:

Śpiewak, Radosław ; Wiśniowska, Barbara

Data wydania:

2023

Identyfikator:

oai:dl.cm-uj.krakow.pl:5099

Sygnatura:

ZB-139420

Język:

pol; eng

Prawa dostępu:

nieograniczony

Temat i słowa kluczowe:

cosmetics irritant potential contact allergy risk assessment artificial intelligence

Kolekcje, do których przypisany jest obiekt:

Data ostatniej modyfikacji:

28 cze 2024

Data dodania obiektu:

29 kwi 2024

Liczba wyświetleń treści obiektu:

30

Liczba wyświetleń treści obiektu w formacie PDF

23

Wszystkie dostępne wersje tego obiektu:

http://dl.cm-uj.krakow.pl:8080/publication/5100

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Wyświetl opis w formacie OAI-PMH:

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Nazwa wydania Data
ZB-139420 28 cze 2024

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Biblioteka Medyczna
ul. Medyczna 7
30-688 Kraków

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517 385 669

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