perinatologyРоссийский вестник перинатологии и педиатрииRossiyskiy Vestnik Perinatologii i Pediatrii (Russian Bulletin of Perinatology and Pediatrics)1027-40652500-2228Ltd. “The National Academy of Pediatric Science and Innovation”10.21508/1027-4065-2017-62-5-21-28perinatology-546Research ArticleПЕРСОНАЛИЗИРОВАННАЯ ПЕДИАТРИЯPERSONALIZED PEDIATRICSГеномные технологии в неонатологииGenomic technologies in neonatologyЧерноваЛ. Н.ChernovaL. N.

ассистент кафедры медицинской элементологии Российского университета  дружбы народов

117198 Москва, ул. Миклухо-Маклая, д. 6

ЖегаловаИ. В.ZhegalovaI. V.

студентка 4 курса Института фармации и трансляционной медицины  Сеченовского университета; кафедра медицинской элементологии РУДН

117198 Москва, ул. Миклухо-Маклая, д. 6

Российский университет дружбы народовРоссияPeoples' Friendship University of RussiaRussian FederationРоссийский университет дружбы народов ФГАОУ ВО «Первый Московский государственный медицинский университет им. И.М. Сеченова» Минздрава РоссииРоссияPeoples' Friendship University of Russia Federal State Autonomous Educational Institution of Higher Education I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University)Russian Federation2017101120176252128Copyright © Ltd. “The National Academy of Pediatric Science and Innovation”, 20172017Ltd. “The National Academy of Pediatric Science and Innovation”Ltd. “The National Academy of Pediatric Science and Innovation”https://www.ped-perinatology.ru/jour/about/submissions#copyrightNoticehttps://www.ped-perinatology.ru/jour/article/view/546

В последние годы отмечается резкое увеличение интереса к персонализированной медицине. Развитие данного направления заставило клиницистов, в том числе и неонатологов, по-новому взглянуть на профилактику, тактику ведения и терапию различных заболеваний. В центре внимания зарубежных, а все чаще и российских исследователей и врачей оказываются индивидуальные геномные данные, позволяющие в перспективе не только оценивать риски возникновения той или иной формы патологии, но и успешно применять персонализированные стратегии предикции, превенции и таргетного лечения. В статье приводится краткий обзор последних достижений использования геномных технологий у новорожденных, рассматриваются проблемы и потенциальные возможности использования геномики в продвижении концепции персонализированной медицины в неонатологии. Все нарастающий объем фундаментальных исследований в области персонализированной медицины применительно к различным нозологиям становится невозможно анализировать усилиями только человеческого разума. В связи с этим на помощь приходят компьютер и биоинформатика. Статья раскрывает роль трансляционной биоинформатики в анализе и интегрировании результатов накопленных фундаментальных исследований в конкретные клинические решения. Рассмотрены последние разработки трансляционной биоинформатики в области неонатологии, в целом сводящиеся к функционалу систем поддержки принятия клинических решений: отслеживание у новорожденных показателей, влияющих на течение заболевания, расчет повышенного риска развития различных патологий и подбор лекарств.

In recent years, there has been a tremendous trend toward personalized medicine. Advances in the field forced clinicians, including neonatologists, to take a fresh look at prevention, tactics of management and therapy of various diseases. In the center of attention of foreign, and increasingly Russian, researchers and doctors, there are individual genomic data that allow not only to assess the risks of some form of pathology, but also to successfully apply personalized strategies of prediction, prevention and targeted treatment. This article provides a brief review of the latest achievements of genomic technologies in newborns, examines the problems and potential applications of genomics in promoting the concept of personalized medicine in neonatology. The increasing amount of personalized data simply impossible to analyze only by the human mind. In this connection, the need of computers and bioinformatics is obvious. The article reveals the role of translational bioinformatics in the analysis and integration of the results of the accumulated fundamental research into complete clinical decisions. The latest advances in neonatal translational bioinformatics such as clinical decision support systems are considered. It helps to monitor vital parameters of newborns influencing the course of a particular disease, to calculate the increased risks of the development of various pathologies and to select the drugs.

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The authors declare that there are no conflicts of interest present.