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dc.contributor.author Rodinkova, V.
dc.contributor.author Yuriev, S.
dc.contributor.author Mokin, V.
dc.contributor.author Kryvopustova, M.
dc.contributor.author Shmundiak, D.
dc.contributor.author Bortnyk, M.
dc.contributor.author Kryzhanovskyi, Y.
dc.contributor.author Kurchenko, A.
dc.date.accessioned 2025-11-26T20:58:01Z
dc.date.available 2025-11-26T20:58:01Z
dc.date.issued 2024
dc.identifier.citation Rodinkova V. Bayesian analysis suggests independent development of sensitization to different fungal allergens / V. Rodinkova, S. Yuriev, V. Mokin, M. Kryvopustova, D. Shmundiak, M. Bortnyk, Y. Kryzhanovskyi, A. Kurchenko, et al. // World Allergy Organization Journal. – 2024 – №17 – (5) – 100908. uk_UA
dc.identifier.other https://doi.org/10.1016/j.waojou.2024.100908
dc.identifier.other https://www.sciencedirect.com/science/article/pii/S1939455124000395
dc.identifier.uri https://dspace.vnmu.edu.ua/123456789/10696
dc.description.abstract Background. Fungi are known for their ability to cause allergies, but data on individual sensitization to them are insufficient. The purpose of the study was to carry out a comprehensive analysis of the fungal allergens’ sensitization profile in the Ukrainian population and to determine both population and individual sensitivity to these allergens. Methods. We utilized a set of ALEX allergy test data from 20,033 inhabitants of 17 regions of Ukraine from 1 to 89 years conducted in 2020–2022. A complex of programs in the Python language was developed and Bayesian network analysis was applied to determine the sensitivity combinations in individual patients to various fungal components. Results. Sensitivity to Alt a 1 dominated and was observed in 79.39% of patients, and 62.17% of them were sensitive solely to Alt a 1. Exclusive sensitivity to Mala s 6 was second in individual patient profiles with a frequency of 4.06%. Combined sensitivity to Alt a 1 – Asp f 3 was third with a share of 3.28%. Pen ch and Cla h extracts stimulated the production of the lowest median sIgE levels. The highest median sIgE levels were for Alt a 1, Mala s 11 and Asp f 6, respectively. Median sIgE levels increased in adults compared to children for all components of Aspergillus fumigatus, as well as for Mala s 5 and Mala s 11. In the rest of the cases, they decreased in adults compared to children. The sensitization rates to fungi in general and specifically to Alternaria were lower in the western parts of Ukraine, especially in the Carpathian region, situated within the Broad-leaved Forest zone. The results of Bayesian modeling revealed that in the case of Alt a 1, the simultaneous absence of sensitivity to Cla h 8, Mala s 11, Mala s 5 and Mala s 6 molecules could condition the presence of sensitization to the major Alternaria allergen with a probability of 92.42%. In all other cases, there was a high probability of absence of sensitivity to particular allergen against the background of absence of sensitivity to other ones, which may indicate the independent development of sensitization to different fungal allergens. Conclusions. Sensitivity to Alt a 1 dominated in the studied population with a lower rate in the western regions. The highest median sIgE levels were induced by Alt a 1, Mala s 11 and Asp f 6. Bayesian Analysis suggest a high probability of the independent development of sensitization to different fungal allergens. The idea that sensitization to one allergen may be protective against sensitization to another one(s) requires further clinical study. uk_UA
dc.language.iso en uk_UA
dc.subject Alternaria uk_UA
dc.subject Malassezia uk_UA
dc.subject Component-resolved allergy diagnostics uk_UA
dc.subject Bayesian modelling uk_UA
dc.title Bayesian analysis suggests independent development of sensitization to different fungal allergens uk_UA
dc.type Article uk_UA


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