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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" article-type="other" dtd-version="1.2" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">Annals of Clinical and Experimental Neurology</journal-id><journal-title-group><journal-title xml:lang="en">Annals of Clinical and Experimental Neurology</journal-title><trans-title-group xml:lang="ru"><trans-title>Анналы клинической и экспериментальной неврологии</trans-title></trans-title-group></journal-title-group><issn publication-format="print">2075-5473</issn><issn publication-format="electronic">2409-2533</issn><publisher><publisher-name xml:lang="en">Eco-Vector</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">236</article-id><article-id pub-id-type="doi">10.17816/psaic236</article-id><article-categories><subj-group subj-group-type="toc-heading" xml:lang="en"><subject>Technologies</subject></subj-group><subj-group subj-group-type="toc-heading" xml:lang="ru"><subject>Технологии</subject></subj-group><subj-group subj-group-type="article-type"><subject>Unknown</subject></subj-group></article-categories><title-group><article-title xml:lang="en">Current means for identifying the latent stage of a neurodegenerative process</article-title><trans-title-group xml:lang="ru"><trans-title>Современные возможности идентификации латентной стадии нейродегенеративного процесса</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Illarioshkin</surname><given-names>Sergey N.</given-names></name><name xml:lang="ru"><surname>Иллариошкин</surname><given-names>Сергей Николаевич</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><email>snillario@gmail.com</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Vlassenko</surname><given-names>A. G.</given-names></name><name xml:lang="ru"><surname>Влассенко</surname><given-names>A. Г.</given-names></name></name-alternatives><address><country country="US">United States</country></address><email>snillario@gmail.com</email><xref ref-type="aff" rid="aff2"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-8070-7644</contrib-id><name-alternatives><name xml:lang="en"><surname>Fedotova</surname><given-names>Ekaterina Yu.</given-names></name><name xml:lang="ru"><surname>Федотова</surname><given-names>Екатерина Юрьевна</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio xml:lang="en"><p>D. Sci. (Med.), Head of the 5<sup>th</sup> Neurology department</p></bio><bio xml:lang="ru"><p>д.м.н., рук. 5-го неврологического отделения</p></bio><email>snillario@gmail.com</email><xref ref-type="aff" rid="aff1"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">Research Center of Neurology</institution></aff><aff><institution xml:lang="ru">ФГБНУ «Научный центр неврологии»</institution></aff></aff-alternatives><aff-alternatives id="aff2"><aff><institution xml:lang="en">Department of Radiology, Washington University School of Medicine</institution></aff><aff><institution xml:lang="ru">Отделение радиологии медицинского факультета Вашингтонского университета</institution></aff></aff-alternatives><pub-date date-type="pub" iso-8601-date="2013-06-09" publication-format="electronic"><day>09</day><month>06</month><year>2013</year></pub-date><volume>7</volume><issue>2</issue><issue-title xml:lang="en"/><issue-title xml:lang="ru"/><fpage>39</fpage><lpage>50</lpage><history><date date-type="received" iso-8601-date="2017-02-02"><day>02</day><month>02</month><year>2017</year></date></history><permissions><copyright-statement xml:lang="en">Copyright ©; 2013, Illarioshkin S.N., Vlassenko A.G., Fedotova E.Y.</copyright-statement><copyright-statement xml:lang="ru">Copyright ©; 2013, Illarioshkin S.N., Vlassenko A.G., Fedotova E.Y.</copyright-statement><copyright-year>2013</copyright-year><copyright-holder xml:lang="en">Illarioshkin S.N., Vlassenko A.G., Fedotova E.Y.</copyright-holder><copyright-holder xml:lang="ru">Illarioshkin S.N., Vlassenko A.G., Fedotova E.Y.</copyright-holder><ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/><license><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/">https://creativecommons.org/licenses/by/4.0</ali:license_ref></license></permissions><self-uri xlink:href="https://annaly-nevrologii.com/pathID/article/view/236">https://annaly-nevrologii.com/pathID/article/view/236</self-uri><abstract xml:lang="en"><p>A characteristic feature of neurodegenerative diseases is the presence of a long-term latent stage, while manifestation of symptoms occurs after 40–60% cells loss in vulnerable neuron populations. Therefore, potential for neuroprotection is maximal just at the latent stage of the process. In this paper, current technologies of presymptomatic diagnosis of the two most common neurodegenerative disorders, Alzheimer’s and Parkinson’sdisease, are presented. On the basis of our own experience and data from the literature it is shown that neuroimaging methods (identification of beta-amyloid in the brain, or phenomenon of hyperechogenecity of the s.nigra, etc) in combination with a number of neurophysiological and molecular/pathobiochemical tests are principal in revealing persons with high risk of these disorders. Validation of biomarkers under discussion and their integrationinto uniform diagnostic screening algorithms is at present one of the most actual fields of neurology.</p></abstract><trans-abstract xml:lang="ru"><p>Характерной чертой нейродегенеративных заболеваний является существование многолетней латентной стадии, тогда как манифестация симптомов происходит после гибели 40–60% клеток в ранимых нейронных популяциях. Поэтому возможности нейропротекции максимальны именно в латентной стадии процесса. В статье представлены современные технологии пресимптоматической диагностики двух наиболее распространенных нейродегенеративных заболеваний – болезней Альцгеймера и Паркинсона. На основании собственных и литературных данных показано, что ведущими в выявлении лиц, имеющих высокий риск развития указанных заболеваний, являются методы нейровизуализации (идентификация бета-амилоида в головном мозге, феномена гиперэхогенности черной субстанции и др.) в комбинации с рядом нейрофизиологических и молекулярно-патобиохимических тестов. Валидация предлагаемых биомаркеров и их интеграция в единые диагностические скрининговые алгоритмы является на сегодня одним из наиболее актуальных разделов неврологии.</p></trans-abstract><kwd-group xml:lang="en"><kwd>neurodegenerative diseases</kwd><kwd>Alzheimer’s disease</kwd><kwd>Parkinson’s disease</kwd><kwd>latent stage</kwd><kwd>biomarkers</kwd><kwd>population screening</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>нейродегенеративные заболевания</kwd><kwd>болезнь Альцгеймера</kwd><kwd>болезнь Паркинсона</kwd><kwd>латентная стадия</kwd><kwd>биомаркеры</kwd><kwd>популяционный скрининг</kwd></kwd-group><funding-group/></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>Алексеева Н.С., Иллариошкин С.Н., Пономарева Т.А. и др. Нарушения обоняния при болезни Паркинсона. Неврол. журн. 2012; 1: 10–14.</mixed-citation></ref><ref id="B2"><label>2.</label><mixed-citation>Базиян Б.Х., Чигалейчик Л.А., Тесленко Е.Л. и др. 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