RUDN Journal of MedicineRUDN Journal of MedicineВестник Российского университета дружбы народов. Серия: Медицина2313-02452313-0261Peoples’ Friendship University of Russia named after Patrice Lumumba (RUDN University)1844110.22363/2313-0245-2018-22-1-75-85ALLERGOLOGY. DERMATOLOGY. PULMONOLOGYАЛЛЕРГОЛОГИЯ. ДЕРМАТОЛОГИЯ. ПУЛЬМОНОЛОГИЯResearch ArticleIntegrated approaches in diagnostics and therapy of allergic diseasesИнтегрированные подходы в диагностике и терапии аллергических заболеванийGuryanovaS VГурьяноваС Вк.б.н., Институт биоорганической химии им. академиков М.М. Шемякина и Ю.А. Овчинникова РАНsvgur@mail.ruInstitute of Bioorganic Chemistry. Academicians MM Shemyakin and Yu.A. Ovchinnikov of the Russian Academy of SciencesИнститут биоорганической химии им. академиков М.М. Шемякина и Ю.А. Овчинникова РАН15122018221VOL 22, NO1 (2018)ТОМ 22, №1 (2018)758501052018Copyright ©; 2018, Guryanova S.V.Copyright ©; 2018, Гурьянова С.В.2018Guryanova S.V.Гурьянова С.В.http://creativecommons.org/licenses/by/4.0https://journals.rudn.ru/medicine/article/view/18441Allergic diseases are a serious problem in both developed and developing countries. Based on the World Health Organization data over 30-40% of the population have one or more allergic diseases. According to forecasts, by 2050, up to 4 billion people in the world will suffer from asthma, allergic rhinitis or atopic dermatitis. Solving problems related to the complexity of differential diagnosis, false positive and false negative results of clinical and laboratory studies, genetic characteristics of patients and many others, can be realized by integrating approaches of bioinformatics and systems biomedicine based on massive databases of experimental studies on one side and, on the other - on advanced technologies of genotyping and detection of biomarkers. The review analyzes the main resources of international databases on allergens, which help to determine the main characteristics of allergens: molecular weight, epitopes, cross reactivity, geographical prevalence, availability allergens in food. Different approaches are considered in the systematization of data obtained in the study of the genome, transcriptome, microbiome, comparison of data obtained from healthy donors and patients with allergic diseases, genetic mutations, transcriptome and microbiome profiles that cause severe course of allergic diseases. Several ways of depicting relationships in the construction of signaling networks (KEGG, sbvIMPROVER, Cyto scape) are shown, both on the basis of direct influence (KEGG, Cytoscape) and on the basis of OpenBEL - the open-access biological expression language - sbvIMPROVER, capable of displaying complex semantic links between components of the system under consideration.Аллергические заболевания представляют серьезную проблему как в развитых, так и в развивающихся странах. По данным Всемирной организации здравоохранения у 30-40% населения обнаружено одно или несколько аллергических заболеваний. Согласно прогнозам, к 2050 году до 4 миллиардов человек в мире будут страдать астмой, аллергическим ринитом или атопическим дерматитом. Решение проблем, связанных со сложностью дифференциальной диагностики, ложноположительными и ложноотрицательными результатами клинических и лабораторных исследований, генетическими характеристиками пациентов и многими другими параметрами, возможно с интеграцией подходов биоинформатики и системной биомедицины, опирающихся, с одной стороны, на массивные базы данных экспериментальных исследований, а с другой - на передовые технологии генотипирования и выявления маркеров. В обзоре анализируются основные электронные ресурсы международных баз данных по аллергенам, с помощью которых можно определять основные характеристики аллергенов: молекулярную массу, эпитопы, кросс реактивность, географическую распространенность, наличие в пищевых продуктах. Рассматриваются различные подходы в систематизации данных, полученных при исследовании генома, транскриптома, микробиома, сравнении данных, полученных от здоровых доноров и больных аллергическими заболеваниями, перечислены генетические мутации, профили транскриптомов и микробиомов, обуславливающие тяжелое течение аллергических заболеваний, приведены способы изображения взаимосвязей с помощью построения сигнальных сетей (KEGG, sbvIMPROVER, Cytoscape): как на основе прямого влияния (KEGG, Cytoscape), так и на основе языка OpenBEL - open-access biological expression language- sbvIMPROVER, способного отображать сложные семантические связи между компонентами рассматриваемой системы.allergic diseasesbioinformaticssystems biomedicinedatabasesаллергические заболеваниябиоинформатикасистемная биологияэлектронные базы данных1.Masoli M, Fabian D, Holt S, Beasley R. The global burden of asthma: executive summary of the GINA Dissemination Committee report. Allergy 2004;59:469-478.2.Ault A. 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