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<article article-type="research-article" dtd-version="1.3" 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" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">medecol</journal-id><journal-title-group><journal-title xml:lang="ru">Медицина и экология</journal-title><trans-title-group xml:lang="en"><trans-title>Medicine and ecology</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2305-6045</issn><issn pub-type="epub">2305-6053</issn><publisher><publisher-name>Карагандинский медицинский университет</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.59598/ME-2305-6053-2026-118-1-125-133</article-id><article-id custom-type="elpub" pub-id-type="custom">medecol-1319</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ТЕОРЕТИЧЕСКАЯ И ЭКСПЕРИМЕНТАЛЬНАЯ МЕДИЦИНА</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>THEORETICAL AND EXPERIMENTAL MEDICINE</subject></subj-group></article-categories><title-group><article-title>In silico анализ редких патогенных миссенс-вариантов гена SLC6A2</article-title><trans-title-group xml:lang="en"><trans-title>In silico analysis of rare pathogenic missense variants in the SLC6A2 gene</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Сорокина</surname><given-names>М. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Sorokina</surname><given-names>M. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>100008, г. Караганда, ул. Гоголя 40</p></bio><bio xml:lang="en"><p>100008, Karaganda c., 40 Gogolya str., 40</p></bio><email xlink:type="simple">info@qmu.kz</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Коршуков</surname><given-names>И. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Korshukov</surname><given-names>I. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Илья Васильевич Коршуков</p><p>100008, г. Караганда, ул. Гоголя 40</p></bio><bio xml:lang="en"><p>Ilya Vasilyevich Korshukov</p><p>100008, Karaganda c., 40 Gogolya str., 40</p></bio><email xlink:type="simple">Korshukov@qmu.kz</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Турсынбек</surname><given-names>А. Е.</given-names></name><name name-style="western" xml:lang="en"><surname>Tursynbek</surname><given-names>A. E.</given-names></name></name-alternatives><bio xml:lang="ru"><p>100008, г. Караганда, ул. Гоголя 40</p></bio><bio xml:lang="en"><p>100008, Karaganda c., 40 Gogolya str., 40</p></bio><email xlink:type="simple">info@qmu.kz</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Институт наук о жизни, кафедра информатики и биостатистики НАО «Карагандинский медицинский университет»<country>Казахстан</country></aff><aff xml:lang="en">Institute of Life Sciences, Department of Informatics and Biostatistics, Karaganda Medical University NC JSC<country>Kazakhstan</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2026</year></pub-date><pub-date pub-type="epub"><day>05</day><month>07</month><year>2026</year></pub-date><volume>0</volume><issue>1</issue><fpage>125</fpage><lpage>133</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Сорокина М.А., Коршуков И.В., Турсынбек А.Е., 2026</copyright-statement><copyright-year>2026</copyright-year><copyright-holder xml:lang="ru">Сорокина М.А., Коршуков И.В., Турсынбек А.Е.</copyright-holder><copyright-holder xml:lang="en">Sorokina M.A., Korshukov I.V., Tursynbek A.E.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://medecol.qmu.kz/jour/article/view/1319">https://medecol.qmu.kz/jour/article/view/1319</self-uri><abstract><sec><title>Актуальность</title><p>Актуальность. Натрий-зависимый транспортер норадреналина (NET), кодируемый геном SLC6A2, играет ключевую роль в регуляции норадренергической передачи и ассоциирован с ортостатической непереносимостью, синдромом дефицита внимания и гиперактивности (СДВГ), депрессией и автономными нарушениями. Появление крио-ЭМ структур NET человека в комплексе с норадреналином и антидепрессантами, а также новых алгоритмов машинного обучения открыло возможность систематического in silico скрининга известных миссенс-вариантов гена и выявления ранее не охарактеризованных патогенных замен, которые могут объяснять случаи идиопатической ортостатической непереносимости, резистентной депрессии, парадоксального ответа на терапию или наследуемых автономных расстройств.</p></sec><sec><title>Цель</title><p>Цель. Анализ миссенс-вариантов гена SLC6A2, зарегистрированных в базе NCBI (сборка GRCh38.p14), выделение вариант с наивысшими предсказаниями патогенности и их структурно- функциональных характеристика с использованием современных биоинформатических инструментов.</p></sec><sec><title>Материалы и методы</title><p>Материалы и методы. Из 725 миссенс однунклеотидных вариантов (ОНВ) с неизвестной клинической значимостью для гена SLC6A2 (GRCh38) были отобраны биаллельные варианты с наибольшими оценками патогенности (AlphaMissense ≥0,99 и LIST-S2 ≥0,99). Два редких варианта (rs1397308523 (Pro108Thr) и rs759975667 (p.Gln314Arg) были подвергнуты комплексному in silico анализу.</p></sec><sec><title>Результаты и обсуждение</title><p>Результаты и обсуждение. Оба замещаемых остатка высококонсервативны (ConSurf 9/9). Прогноз топологии (DeepTMHMM) и доменной организации (PROSITE) не выявил различий с диким типом. MutPred2 оценил общую патогенность в 0,87 и 0,91 соответственно. I-Mutant 2.0 и MUpro предсказали снижение стабильности белка (ΔΔG –1,11 и –0,94 ккал/моль).</p></sec><sec><title>Выводы</title><p>Выводы. Варианты rs1397308523 и rs759975667, имеющие наибольшую прогнозируемую патогенность, миссенс-замены в SLC6A2 представляют приоритетные мишени для функциональных исследований и поиска в клинических когортах.</p></sec></abstract><trans-abstract xml:lang="en"><sec><title>Background</title><p>Background. The sodium-dependent noradrenaline transporter (NET), encoded by the SLC6A2 gene, plays a key role in the regulation of noradrenergic transmission and is associated with orthostatic intolerance, attention-deficit/hyperactivity disorder (ADHD), depression, and autonomic dysfunctions. The emergence of cryo-EM structures of human NET in complex with noradrenaline and antidepressants, along with new machine-learning algorithms, has enabled systematic in silico screening of known missense variants of the gene and the identification of previously uncharacterized pathogenic substitutions that may explain cases of idiopathic orthostatic intolerance, treatment-resistant depression, paradoxical responses to therapy, or hereditary autonomic disorders.</p><p>Aim of the study was to analyze missense variants of the SLC6A2 gene registered in the NCBI database (assembly GRCh38.p14), to identify variants with the highest predicted pathogenicity scores, and to perform their structural-functional characterization using modern bioinformatics tools.</p></sec><sec><title>Materials and methods</title><p>Materials and methods. From 725 missense single-nucleotide variants (SNVs) of unknown clinical significance in the SLC6A2 gene (GRCh38), biallelic variants with the highest pathogenicity scores (AlphaMissense ≥0.99 and LIST-S2 ≥0.99) were selected. Two rare variants (rs1397308523 (Pro108Thr) and rs759975667 (p.Gln314Arg) underwent comprehensive in silico analysis.</p></sec><sec><title>Results and discussion</title><p>Results and discussion. Both substituted residues are highly conserved (ConSurf 9/9). Predictions of topology (DeepTMHMM) and domain organization (PROSITE) revealed no differences from the wild type. MutPred2 assigned overall pathogenicity scores of 0.87 and 0.91, respectively. I-Mutant 2.0 and MUpro predicted decreased protein stability (ΔΔG –1.11 and –0.94 kcal/mol).</p></sec><sec><title>Conclusions</title><p>Conclusions. The variants rs1397308523 and rs759975667, which have the highest predicted pathogenicity among missense substitutions in SLC6A2, represent priority targets for functional studies and screening in clinical cohorts.</p></sec></trans-abstract><kwd-group xml:lang="ru"><kwd>SLC6A2</kwd><kwd>транспортер норадреналина</kwd><kwd>редкие миссенс-варианты</kwd><kwd>in silico</kwd><kwd>патогенность</kwd><kwd>стабильность белка</kwd><kwd>ConSurf</kwd><kwd>MutPred2</kwd></kwd-group><kwd-group xml:lang="en"><kwd>SLC6A2</kwd><kwd>noradrenaline transporter</kwd><kwd>rare missense variants</kwd><kwd>in silico</kwd><kwd>pathogenicity</kwd><kwd>protein stability</kwd><kwd>ConSurf</kwd><kwd>MutPred2</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Alexandrov A.I., Mileni M., Chien E.Y., Hanson M.A., Stevens R.C. Microscale fluorescent thermal stability assay for membrane proteins. 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