Downscaling of a Three-Dimensional Alveolar In Vitro Model for High-Throughput Screening of Inhalable Respiratory Sensitizers in the Food Industry

Allergic diseases represent an increasing global health problem, among which food and respiratory allergies play an important part. Inhalation of sensitizers from food sources primes the immune system for an exacerbated response upon subsequent exposure via the ingestion route. With the increasing e...

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Bibliographic Details
Main Authors: Sabina BURLA, Aline CHARY, Elisa MOSCHINI, Charlotte B. A. STOFFELS, Tommaso SERCHI, Carmen SOCACIU, Mihai A. SOCACIU, Arno C. GUTLEB
Format: Article
Language:English
Published: AcademicPres 2023-06-01
Series:Bulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca: Food Science and Technology
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Online Access:https://journals.usamvcluj.ro/index.php/fst/article/view/14593
Description
Summary:Allergic diseases represent an increasing global health problem, among which food and respiratory allergies play an important part. Inhalation of sensitizers from food sources primes the immune system for an exacerbated response upon subsequent exposure via the ingestion route. With the increasing emergence of novel food additives and proteins and growing morbidity in both food and respiratory allergies, the hazard assessment of the allergenicity of food components is of paramount importance. A three-dimensional (3D) alveolar in vitro model for respiratory sensitization prediction was downscaled from the 6- to the 24-well plate insert format, to meet the industry’s high-throughput (HTS) screening requirements. The resemblance of the cellular architecture of the downscaled model to the alveolar region of the lung was evaluated through microscopy techniques and the functionality of the in vitro model was assessed following air-liquid interface (ALI) exposure to ammonium persulfate (APS). The model represents a promising in vitro tool to screen for the respiratory sensitization potential of food components in a fast and reliable approach.
ISSN:2344-2344
2344-5300