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April 30, 2026
HSE Researchers Compile Scientific Database for Studying Childrens Eating Habits
The database created at HSE University can serve as a foundation for studying children’s eating habits. This is outlined in the study ‘The Influence of Age, Gender, and Social-Role Factors on Children’s Compliance with Age-Based Nutritional Norms: An Experimental Study Using the Dish-I-Wish Web Application.’ The work has been carried out as part of the HSE Basic Research Programme and was presented at the XXVI April International Academic Conference named after Evgeny Yasin.
April 30, 2026
New Foresight Centre Study Identifies the Most Destructive Global Trends for Humankind
A team of researchers from the HSE International Research and Educational Foresight Centre has examined how global trends affect the quality of human life—from life expectancy to professional fulfilment. The findings of the study titled ‘Human Capital Transformation under the Influence of Global Trends’ were published in Foresight.
April 28, 2026
Scientists Develop Algorithm for Accurate Financial Time Series Forecasting
Researchers at the HSE Faculty of Computer Science benchmarked more than 200,000 model configurations for predicting financial asset prices and realised volatility, showing that performance can be improved by filtering out noise at specific frequencies in advance. This technique increased accuracy in 65% of cases. The authors also developed their own algorithm, which achieves accuracy comparable to that of the best models while requiring less computational power. The study has been published in Applied Soft Computing.

 

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Определение эндотипов атопического дерматита на основании молекулярно-генетического исследования местного иммунного ответа

Российский аллергологический журнал. 2018. Т. 15. № 6. С. 33–44.
Елисютина О. Г., Болдырева М. Н., Rebrova O., Феденко Е. С.

The basis for the development of atopic dermatitis (AD) is genetic predisposition, hypersensitivity to allergens, Th1/Th2 disbalance, increased degranulation of mast cells and antigen-presenting activity of Langerhans cells, as well as epidermal barrier dysfunction. Recently, genotypes, phenotypes and endotypes of AD, and biomarkers, which can be used to assess the effectiveness of therapy and to develop personalized approaches to the diagnosis, treatment and prognosis of the disease, have been actively studied. The aim of this study was to determine the endotypes of atopic dermatitis on the basis of molecular genetic study of cytokine gene expression in the skin of AD patients. Materials and methods. The study was performed as a «case-control», 90 AD patients and 30 healthy individuals without signs of atopy were included. The material for evaluation of cytokine gene expression was skin biopsy samples taken by punch biopsy. The level of gene expression was determined by real-time PCR with preliminary reverse transcription of mRNA of the corresponding genes («DNA-Technology», Moscow). The transcript levels of ILB, IL2, IL2r, IL4, IL5, IL6, IL7, IL8, IL10, IL12A, IL12B, IL15, IL17A, IL18, IL23, IL28, IL29, IFNy, TNF, TGFß, FOXP3 genes were studied. Results. Based on the molecular genetic study of the local immune response the following endotypes of AD were determined: endotype with predominance of Th1-type immune response (3% of patients); endotype with predominance of Th2-type immune response (3% of patients); mixed endotype with increased expression of IL2 (20% of patients); mixed endotype with reduced expression of IL10 (64% of patients); mixed endotype with increased expression of TGFß (9% of patients). Clinically significant biomarkers of inflammation in atopic dermatitis - decreased mRNA level of IL1ß gene expression and increased mRNA level of IL2R, IL4, IL5, IL6, IL8, IL10, IL12ß, IL23, IL29, IFNy and TGFß genes expression were determined in the skin of AD patients compared to healthy individuals. Conclusion. The use of molecular genetic method for evaluation of local immune response on the basis of cytokines gene expression measurement in the skin allows to identify the most significant biomarkers characterizing different endotypes of AD, and to determine the type of immune response in the individual patient.

Research target: Computer Science Clinical Medicine
Priority areas: IT and mathematics
Language: Russian
Text on another site
Keywords: факторный анализfactor analysisэкспрессия геновGene expressionCytokineбиомаркерыbiomarkersatopic dermatitisendotypesатопический дерматитэндотипыцитокины
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