Responses of an In Vitro Coculture Alveolar Model for the Prediction of Respiratory Sensitizers (ALIsens®) Following Exposure to Skin Sensitizers and Non-Sensitizers.

IF 4.1 3区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Toxics Pub Date : 2024-12-31 DOI:10.3390/toxics13010029
Sabina Burla, Aline Chary, Tommaso Serchi, Sébastien Cambier, Kristie Sullivan, Elizabeth Baker, Nikaeta Sadekar, Arno C Gutleb
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Abstract

In recent years, a global increase in allergy incidence following chemical exposure has been observed. While the process of skin sensitization is well characterized through the adverse outcome pathway (AOP) framework, the immunological mechanisms underlying respiratory sensitization remain less well understood. Respiratory sensitizers are classified as substances of very high concern (SVHC) under the European Union (EU) regulation for the registration, evaluation, authorization and restriction of chemicals (REACH), emphasizing the importance of evaluating respiratory tract sensitization as a critical hazard. However, the existing new approach methodologies (NAMs) for the identification of skin sensitizers lack the capacity to differentiate between skin and respiratory sensitizers. Thus, it is imperative to develop physiologically relevant test systems specifically tailored to assess respiratory sensitizers. This study aimed to evaluate the efficacy of ALIsens®, a three-dimensional (3D) in vitro alveolar model designed for the identification of respiratory sensitizers and to determine its ability to correctly identify sensitizers. In this study, we used a range of skin sensitizers and non-sensitizers to define the optimal exposure dose, identify biomarkers, and establish tentative thresholds for correct sensitizer classification. The results demonstrate that ALIsens® is a promising in vitro complex model that could successfully discriminate respiratory sensitizers from skin sensitizers and non-sensitizers. Furthermore, the thymic stromal lymphopoietin receptor (TSLPr) cell surface marker was confirmed as a reliable biomarker for predicting respiratory sensitization hazards.

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体外共培养肺泡模型预测皮肤致敏剂和非致敏剂暴露后呼吸致敏剂(ALIsens®)的反应
近年来,已经观察到全球化学接触后过敏发生率的增加。虽然皮肤致敏过程通过不良结果通路(AOP)框架得到了很好的表征,但呼吸道致敏的免疫学机制仍然不太清楚。根据欧盟(EU)化学品注册、评估、授权和限制条例(REACH),呼吸道致敏剂被归类为高度关注物质(SVHC),强调了将呼吸道致敏作为一种关键危害进行评估的重要性。然而,现有的识别皮肤致敏剂的新方法(NAMs)缺乏区分皮肤和呼吸致敏剂的能力。因此,有必要开发专门用于评估呼吸致敏物的生理学相关测试系统。本研究旨在评估ALIsens®的有效性,ALIsens®是一种用于识别呼吸致敏剂的三维(3D)体外肺泡模型,并确定其正确识别致敏剂的能力。在这项研究中,我们使用一系列皮肤致敏剂和非致敏剂来确定最佳暴露剂量,识别生物标志物,并为正确的致敏剂分类建立初步阈值。结果表明,ALIsens®是一种很有前途的体外复杂模型,可以成功区分呼吸致敏剂、皮肤致敏剂和非致敏剂。此外,胸腺基质淋巴生成素受体(TSLPr)细胞表面标记物被证实是预测呼吸致敏危害的可靠生物标志物。
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来源期刊
Toxics
Toxics Chemical Engineering-Chemical Health and Safety
CiteScore
4.50
自引率
10.90%
发文量
681
审稿时长
6 weeks
期刊介绍: Toxics (ISSN 2305-6304) is an international, peer-reviewed, open access journal which provides an advanced forum for studies related to all aspects of toxic chemicals and materials. It publishes reviews, regular research papers, and short communications. Our aim is to encourage scientists to publish their experimental and theoretical results in detail. There is, therefore, no restriction on the maximum length of the papers, although authors should write their papers in a clear and concise way. The full experimental details must be provided so that the results can be reproduced. Electronic files or software regarding the full details of calculations and experimental procedure can be deposited as supplementary material, if it is not possible to publish them along with the text.
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