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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">vavilov</journal-id><journal-title-group><journal-title xml:lang="ru">Вавиловский журнал генетики и селекции</journal-title><trans-title-group xml:lang="en"><trans-title>Vavilov Journal of Genetics and Breeding</trans-title></trans-title-group></journal-title-group><issn pub-type="epub">2500-3259</issn><publisher><publisher-name>Institute of Cytology and Genetics of Siberian Branch of the RAS</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.18699/vjgb-24-27</article-id><article-id custom-type="elpub" pub-id-type="custom">vavilov-4093</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>БИОТЕХНОЛОГИЯ В ПОСТГЕНОМНУЮ ЭРУ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>MEDICAL GENETICS</subject></subj-group></article-categories><title-group><article-title>Влияние транспозонов на развитие болезни Альцгеймера</article-title><trans-title-group xml:lang="en"><trans-title>Involvement of transposable elements  in Alzheimer’s disease pathogenesis</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>Мустафин</surname><given-names>Р. Н.</given-names></name><name name-style="western" xml:lang="en"><surname>Mustafin</surname><given-names>R. N.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Уфа</p></bio><bio xml:lang="en"><p>Ufa</p></bio><email xlink:type="simple">ruji79@mail.ru</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>Хуснутдинова</surname><given-names>Э. К.</given-names></name><name name-style="western" xml:lang="en"><surname>Khusnutdinova</surname><given-names>E. K.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Уфа</p></bio><bio xml:lang="en"><p>Ufa</p></bio><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Башкирский государственный медицинский университет<country>Россия</country></aff><aff xml:lang="en">Bashkir State Medical University<country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru">Башкирский государственный медицинский университет;	Институт биохимии и генетики – обособленное структурное подразделение Уфимского федерального исследовательского центра  Российской академии наук<country>Россия</country></aff><aff xml:lang="en">Bashkir State Medical University; Institute of Biochemistry and Genetics – Subdivision of the Ufa Federal Research Centre of the Russian Academy of Sciences<country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2024</year></pub-date><pub-date pub-type="epub"><day>11</day><month>04</month><year>2024</year></pub-date><volume>28</volume><issue>2</issue><fpage>228</fpage><lpage>238</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Мустафин Р.Н., Хуснутдинова Э.К., 2024</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="ru">Мустафин Р.Н., Хуснутдинова Э.К.</copyright-holder><copyright-holder xml:lang="en">Mustafin R.N., Khusnutdinova E.K.</copyright-holder><license 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://vavilov.elpub.ru/jour/article/view/4093">https://vavilov.elpub.ru/jour/article/view/4093</self-uri><abstract><p>Болезнь Альцгеймера поражает в среднем 5 % населения со значительным увеличением распространенности с возрастом, что свидетельствует о возможном влиянии на данную патологию тех же механизмов, которые лежат в основе старения человека. Исследование этих механизмов перспективно для разработки эффективных методов лечения и профилактики заболевания. Возможными участниками этих механизмов являются транспозоны, которые служат драйверами эпигенетической регуляции, поскольку формируют в эволюции видоспецифические распределения генов некодирующих РНК в геноме человека. Изучение роли микро-РНК в развитии болезни Альцгеймера актуально, поскольку по результатам проведенных GWAS ассоциаций белок-кодирующих генов (APOE4, ABCA7, BIN1, CLU, CR1, PICALM, TREM2) трудно объяснить сложный патогенез заболевания. Кроме того, в различных долях головного мозга при болезни Альцгеймера были обнаружены специфические изменения экспрессии множества генов, что может быть обу словлено глобальными регуляторными изменениями под влиянием транспозонов. Действительно, экспериментальные и клинические исследования показали патологическую активацию ретроэлементов при болезни Альцгеймера. Проведенный нами анализ научной литературы в соответствии с базой данных MDTE DB (microRNAs derived from transposable elements) позволил выявить 28 различных микро-РНК, происходящих от мобильных элементов (17 – от LINE, 5 – от SINE, 4 – от HERV, 2 – от ДНК-транспозонов), экспрессия которых специфически изменяется при данном заболевании (снижается у 17 и повышается у 11 микроРНК). Экспрессия 13 из 28 микро-РНК (miR-151a, -192, -211, -28, -31, -320c, -335, -340, -378a, -511, -576, -708, -885) меняется также при старении и развитии злокачественных новообразований, что подтверждает  возможное наличие общих патогенетических механизмов. Большинство из этих микро-РНК произошли от LINE-ретроэлементов, патологическая активация которых ассоциирована со старением, канцерогенезом и болезнью Альцгеймера, что свидетельствует в пользу гипотезы о том, что в основе этих трех процессов лежит первичная дисрегуляция транспозонов, которые служат драйверами эпигенетической регуляции экспрессии генов в онтогенезе. </p></abstract><trans-abstract xml:lang="en"><p>Alzheimer’s disease affects an average of 5 % of the population with a significant increase in prevalence with age, suggesting that the same mechanisms that underlie aging may influence this pathology. Investigation of these mechanisms is promising for effective methods of treatment and prevention of the disease. Possible participants in these mechanisms are transposons, which serve as drivers of epigenetic regulation, since they form species-specific distributions of non-coding RNA genes in genomes in evolution. Study of miRNA involvement in Alzheimer’s disease pathogenesis is relevant, since the associations of protein-coding genes (APOE4, ABCA7, BIN1, CLU, CR1, PICALM, TREM2) with the disease revealed as a result of GWAS make it difficult to explain its complex pathogenesis. Specific expression changes of many genes were found in different brain parts of Alzheimer’s patients, which may be due to global regulatory changes under the influence of transposons. Experimental and clinical studies have shown pathological activation of retroelements in Alzheimer’s disease. Our analysis of scientific literature in accordance with MDTE DB revealed 28 miRNAs derived from transposons (17 from LINE, 5 from SINE, 4 from HERV, 2 from DNA transposons), the expression of which specifically changes in this disease (decreases in 17 and increases in 11 microRNA). Expression of 13 out of 28 miRNAs (miR-151a, -192, -211, -28, -31, -320c, -335, -340, -378a, -511, -576, -708, -885) also changes with aging and cancer development, which indicates the presence of possible common pathogenetic mechanisms. Most of these miRNAs originated from LINE retroelements, the pathological activation of which is associated with aging, carcinogenesis, and Alzheimer’s disease, which supports the hypothesis that these three processes are based on the primary dysregulation of transposons that serve as drivers of epigenetic regulation of gene expression in ontogeny.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>болезнь Альцгеймера</kwd><kwd>канцерогенез</kwd><kwd>микроРНК</kwd><kwd>старение</kwd><kwd>транспозоны</kwd><kwd>ретроэлементы</kwd></kwd-group><kwd-group xml:lang="en"><kwd>Alzheimer’s disease</kwd><kwd>carcinogenesis</kwd><kwd>miRNA</kwd><kwd>aging</kwd><kwd>transposons</kwd><kwd>retroelements</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">Abdel-Rahman O. Death from Alzheimer’s disease among cancer survivors: a population-based study. Curr. Med. Res. Opin. 2020;36(5): 835-841. DOI 10.1080/03007995.2020.1734921</mixed-citation><mixed-citation xml:lang="en">Abdel-Rahman O. Death from Alzheimer’s disease among cancer survivors: a population-based study. Curr. Med. Res. Opin. 2020;36(5): 835-841. DOI 10.1080/03007995.2020.1734921</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Ando K., Nagaraj S., Kucukali F., de Fisenne M.A., Kosa A.C., Doeraene E., Gutierrez L.L., Brion J.P., Leroy K. PICALM and Alzheimer’s disease: An update and perspectives. Nutrients. 2022; 14(3):539. DOI 10.3390/nu14030539</mixed-citation><mixed-citation xml:lang="en">Ando K., Nagaraj S., Kucukali F., de Fisenne M.A., Kosa A.C., Doeraene E., Gutierrez L.L., Brion J.P., Leroy K. PICALM and Alzheimer’s disease: An update and perspectives. Nutrients. 2022; 14(3):539. DOI 10.3390/nu14030539</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Baeken M.W., Moosmann B., Hajieva P. Retrotransposon activation by distressed mitochondria in neurons. Biochem. Biophys. Res. Commun. 2020;525(3):570-575. DOI 10.1016/j.bbrc.2020.02.106</mixed-citation><mixed-citation xml:lang="en">Baeken M.W., Moosmann B., Hajieva P. Retrotransposon activation by distressed mitochondria in neurons. Biochem. Biophys. Res. Commun. 2020;525(3):570-575. DOI 10.1016/j.bbrc.2020.02.106</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Barak B., Shvarts-Serebro I., Modai S., Gilam A., Okun E., Michaelson D.M., Mattson M.P., Shomron N., Ashery U. Opposing actions of environmental enrichment and Alzheimer’s disease on the expression of hippocampal microRNA in mouse models. Transl. Psychiatry. 2013;3(9):e304. DOI 10.1038/tp.2013.77</mixed-citation><mixed-citation xml:lang="en">Barak B., Shvarts-Serebro I., Modai S., Gilam A., Okun E., Michaelson D.M., Mattson M.P., Shomron N., Ashery U. Opposing actions of environmental enrichment and Alzheimer’s disease on the expression of hippocampal microRNA in mouse models. Transl. Psychiatry. 2013;3(9):e304. DOI 10.1038/tp.2013.77</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Barros-Viegas A.T., Carmona V., Ferreiro E., Guedes J., Cardoso A.M., Cunha P., de Almeida L.P., de Oliveira C.R., de Magalhães J.P., Peça J., Cardoso A.L. miRNA-31 improves cognition and abolis hes amyloid-β pathology by targeting APP and BACE1 in an animal model of Alzheimer’s disease. Mol. Ther. Nucleic. Acids. 2020;19: 1219-1236. DOI 10.1016/j.omtn.2020.01.010</mixed-citation><mixed-citation xml:lang="en">Barros-Viegas A.T., Carmona V., Ferreiro E., Guedes J., Cardoso A.M., Cunha P., de Almeida L.P., de Oliveira C.R., de Magalhães J.P., Peça J., Cardoso A.L. miRNA-31 improves cognition and abolis hes amyloid-β pathology by targeting APP and BACE1 in an animal model of Alzheimer’s disease. Mol. Ther. Nucleic. Acids. 2020;19: 1219-1236. DOI 10.1016/j.omtn.2020.01.010</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Behbahanipour M., Peymani M., Salari M., Hashemi M.S., Nasr-Esfahani M.H., Ghaedi K. Expression profiling of blood microRNAs 885, 361, and 17 in the patients with the Parkinson’s disease: integrating interatction data to uncover the possible triggering agerelated mechanisms. Sci. Rep. 2019;9:13759. DOI 10.1038/s41598-019-50256-3</mixed-citation><mixed-citation xml:lang="en">Behbahanipour M., Peymani M., Salari M., Hashemi M.S., Nasr-Esfahani M.H., Ghaedi K. Expression profiling of blood microRNAs 885, 361, and 17 in the patients with the Parkinson’s disease: integrating interatction data to uncover the possible triggering agerelated mechanisms. Sci. Rep. 2019;9:13759. DOI 10.1038/s41598-019-50256-3</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Boese A.S., Saba R., Campbell K., Majer A., Medina S., Burton L., Booth T.F., Chong P., Westmacott G., Dutta S.M., Saba J.A., Booth S.A. MicroRNA abundance is altered in synaptoneurosomes during prion disease. Mol. Cell. Neurosci. 2016;71:13-24. DOI 10.1016/j.mcn.2015.12.001</mixed-citation><mixed-citation xml:lang="en">Boese A.S., Saba R., Campbell K., Majer A., Medina S., Burton L., Booth T.F., Chong P., Westmacott G., Dutta S.M., Saba J.A., Booth S.A. MicroRNA abundance is altered in synaptoneurosomes during prion disease. Mol. Cell. Neurosci. 2016;71:13-24. DOI 10.1016/j.mcn.2015.12.001</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Cai Y., Sun Z., Jia H., Luo H., Ye X., Wu Q., Xiong Y., Zhang W., Wan J. Rpph1 upregulates CDC42 expression and promotes hippocampal neuron dendritic spine formation by competing with miR-330-5p. Front. Mol. Neurosci. 2017;10:27. DOI 10.3389/fnmol.2017.00027</mixed-citation><mixed-citation xml:lang="en">Cai Y., Sun Z., Jia H., Luo H., Ye X., Wu Q., Xiong Y., Zhang W., Wan J. Rpph1 upregulates CDC42 expression and promotes hippocampal neuron dendritic spine formation by competing with miR-330-5p. Front. Mol. Neurosci. 2017;10:27. DOI 10.3389/fnmol.2017.00027</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Chanda K., Mukhopadhyay D. LncRNA Xist, X-chromosome instability and Alzheimer’s disease. Curr. Alzheimer Res. 2020;17(6):499-507. DOI 10.2174/1567205017666200807185624</mixed-citation><mixed-citation xml:lang="en">Chanda K., Mukhopadhyay D. LncRNA Xist, X-chromosome instability and Alzheimer’s disease. Curr. Alzheimer Res. 2020;17(6):499-507. DOI 10.2174/1567205017666200807185624</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Cheng Y., Saville L., Gollen B., Isaac C., Belay A., Mehla J., Patel K., Thakor N., Mohajerani M.H., Zovoilis A. Increased processing of SINE B2 ncRNAs unveils a novel type of transcriptome deregulation in amyloid beta neuropathology. eLife. 2020;9:e61265. DOI 10.7554/eLife.61265</mixed-citation><mixed-citation xml:lang="en">Cheng Y., Saville L., Gollen B., Isaac C., Belay A., Mehla J., Patel K., Thakor N., Mohajerani M.H., Zovoilis A. Increased processing of SINE B2 ncRNAs unveils a novel type of transcriptome deregulation in amyloid beta neuropathology. eLife. 2020;9:e61265. DOI 10.7554/eLife.61265</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Cho J.H., Dimri M., Dimri G.P. MicroRNA-31 is a transcriptional target of histone deacetylase inhibitors and a regulator of cellular senescence. J. Biol. Chem. 2015;290(16):10555-10567. DOI 10.1074/jbc.M114.624361</mixed-citation><mixed-citation xml:lang="en">Cho J.H., Dimri M., Dimri G.P. MicroRNA-31 is a transcriptional target of histone deacetylase inhibitors and a regulator of cellular senescence. J. Biol. Chem. 2015;290(16):10555-10567. DOI 10.1074/jbc.M114.624361</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Cosin-Tomas M., Antonell A., Llado A., Alcoelea D., Fortea J., Ezquerra M., Lleo A., Marti M.J., Pallas M., Sanchez-Valle R.S., Molinue vo J.L., Sanfeliu C., Kaliman P. Plasma miR-545-3p as early biomarkers of Alheimer’s disease: potential and limitations. Mol. Neurobiol. 2017;54(7):5550-5562. DOI 10.1007/s12035-016-0088-8</mixed-citation><mixed-citation xml:lang="en">Cosin-Tomas M., Antonell A., Llado A., Alcoelea D., Fortea J., Ezquerra M., Lleo A., Marti M.J., Pallas M., Sanchez-Valle R.S., Molinue vo J.L., Sanfeliu C., Kaliman P. Plasma miR-545-3p as early biomarkers of Alheimer’s disease: potential and limitations. Mol. Neurobiol. 2017;54(7):5550-5562. DOI 10.1007/s12035-016-0088-8</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Dakterzada F., Benítez I.D., Targa A., Lladó A., Torres G., Romero L., de Gonzalo-Calvo D., Moncusí-Moix A., Tort-Merino A., Huerto R., Sánchez-de-la-Torre M., Barbé F., Piñol-Ripoll G. Reduced levels of miR-342-5p in plasma are associated with worse cognitive evolution in patients with mild Alzheimer’s disease. Front. Aging Neurosci. 2021;13:705989. DOI 10.3389/fnagi.2021.705989</mixed-citation><mixed-citation xml:lang="en">Dakterzada F., Benítez I.D., Targa A., Lladó A., Torres G., Romero L., de Gonzalo-Calvo D., Moncusí-Moix A., Tort-Merino A., Huerto R., Sánchez-de-la-Torre M., Barbé F., Piñol-Ripoll G. Reduced levels of miR-342-5p in plasma are associated with worse cognitive evolution in patients with mild Alzheimer’s disease. Front. Aging Neurosci. 2021;13:705989. DOI 10.3389/fnagi.2021.705989</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Dellago H., Preschitz-Kammerhofer B., Terlecki-Zaniewicz L., Schreiner C., Fortschegger K., Chang M.W., Hackl M., Monteforte R., Kuhnel H., Schosserer M., Gruber F., Tschachler E., Scheideler M., Grillari-Voglauer R., Grillari J., Wieser M. High levels of oncomiR-21 contribute to the senescence-induced growth arrest in normal human cells and its knock-down increases the replicative lifespan. Aging Cell. 2013;12(3):446-458. DOI 10.1111/acel.12069</mixed-citation><mixed-citation xml:lang="en">Dellago H., Preschitz-Kammerhofer B., Terlecki-Zaniewicz L., Schreiner C., Fortschegger K., Chang M.W., Hackl M., Monteforte R., Kuhnel H., Schosserer M., Gruber F., Tschachler E., Scheideler M., Grillari-Voglauer R., Grillari J., Wieser M. High levels of oncomiR-21 contribute to the senescence-induced growth arrest in normal human cells and its knock-down increases the replicative lifespan. Aging Cell. 2013;12(3):446-458. DOI 10.1111/acel.12069</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Di Palo A.D., Siniscalchi C., Crescente G., Leo I.D., Fiorentino A., Pacifico S., Russo A., Potenza N. Effect of cannabidiolic acid, N- trans-caffeoyltyramine and cannabisin B from hemp seeds on microRNA expression in human neural cells. Curr. Issues Mol. Biol. 2022;44(10):5106-5116. DOI 10.3390/cimb44100347</mixed-citation><mixed-citation xml:lang="en">Di Palo A.D., Siniscalchi C., Crescente G., Leo I.D., Fiorentino A., Pacifico S., Russo A., Potenza N. Effect of cannabidiolic acid, N- trans-caffeoyltyramine and cannabisin B from hemp seeds on microRNA expression in human neural cells. Curr. Issues Mol. Biol. 2022;44(10):5106-5116. DOI 10.3390/cimb44100347</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">Dong H., Li J., Huang L., Chen X., Li D., Wang T., Hu C., Xu J., Zhang C., Zen K., Xiao S., Yan Q., Wang C., Zhang C.Y. Serum microRNA profiles serve as novel biomarkers for the diagnosis of Alzheimer’s disease. Dis. Markers. 2015;2015:625659. DOI 10.1155/2015/625659</mixed-citation><mixed-citation xml:lang="en">Dong H., Li J., Huang L., Chen X., Li D., Wang T., Hu C., Xu J., Zhang C., Zen K., Xiao S., Yan Q., Wang C., Zhang C.Y. Serum microRNA profiles serve as novel biomarkers for the diagnosis of Alzheimer’s disease. Dis. Markers. 2015;2015:625659. DOI 10.1155/2015/625659</mixed-citation></citation-alternatives></ref><ref id="cit17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">Dong Z., Gu H., Guo Q., Liang S., Xue J., Yao F., Liu X., Li F., Liu H., Sun L., Zhao K. Profiling of serum exosome miRNA reveals the potential of a miRNA panel as diagnostic biomarker for Alzhei mer’s disease. Mol. Neurobiol. 2021;58(7):3084-3094. DOI 10.1007/s12035-021-02323-y</mixed-citation><mixed-citation xml:lang="en">Dong Z., Gu H., Guo Q., Liang S., Xue J., Yao F., Liu X., Li F., Liu H., Sun L., Zhao K. Profiling of serum exosome miRNA reveals the potential of a miRNA panel as diagnostic biomarker for Alzhei mer’s disease. Mol. Neurobiol. 2021;58(7):3084-3094. DOI 10.1007/s12035-021-02323-y</mixed-citation></citation-alternatives></ref><ref id="cit18"><label>18</label><citation-alternatives><mixed-citation xml:lang="ru">El Hajjar J., Chatoo W., Hanna R., Nkanza P., Tétreault N., Tse Y.C., Wong T.P., Abdouh M., Bernier G. Heterochromatic genome instability and neurodegeneration sharing similarities with Alzheimer’s disease in old Bmi1+/− mice. Sci. Rep. 2019;9(1):594. DOI 10.1038/s41598-018-37444-3</mixed-citation><mixed-citation xml:lang="en">El Hajjar J., Chatoo W., Hanna R., Nkanza P., Tétreault N., Tse Y.C., Wong T.P., Abdouh M., Bernier G. Heterochromatic genome instability and neurodegeneration sharing similarities with Alzheimer’s disease in old Bmi1+/− mice. Sci. Rep. 2019;9(1):594. DOI 10.1038/s41598-018-37444-3</mixed-citation></citation-alternatives></ref><ref id="cit19"><label>19</label><citation-alternatives><mixed-citation xml:lang="ru">Eysert F., Coulon A., Boscher E., Vreulx A.C., Flaig A., Mendes T., Kilinc D., Lambert J., Chapuis J. Alzheimer’s genetic risk factor FERMT2 (Kindlin-2) controls axonal growth and synaptic plasticity in an APP-dependent manner. Mol. Psychiatry. 2021;26(10):5592-5607. DOI 10.1038/s41380-020-00926-w</mixed-citation><mixed-citation xml:lang="en">Eysert F., Coulon A., Boscher E., Vreulx A.C., Flaig A., Mendes T., Kilinc D., Lambert J., Chapuis J. Alzheimer’s genetic risk factor FERMT2 (Kindlin-2) controls axonal growth and synaptic plasticity in an APP-dependent manner. Mol. Psychiatry. 2021;26(10):5592-5607. DOI 10.1038/s41380-020-00926-w</mixed-citation></citation-alternatives></ref><ref id="cit20"><label>20</label><citation-alternatives><mixed-citation xml:lang="ru">Fagone P., Mangano K., Martino G., Quattropani M.C., Pennisi M., Bella R., Fisicaro F., Nicoletti F., Petralia M.C. Characterization of altered molecular pathways in the entorhinal cortex of Alzheimer’s disease patients and in silico prediction of potential repurposable drugs. Genes (Basel). 2022;13(4):703. DOI 10.3390/genes13040703</mixed-citation><mixed-citation xml:lang="en">Fagone P., Mangano K., Martino G., Quattropani M.C., Pennisi M., Bella R., Fisicaro F., Nicoletti F., Petralia M.C. Characterization of altered molecular pathways in the entorhinal cortex of Alzheimer’s disease patients and in silico prediction of potential repurposable drugs. Genes (Basel). 2022;13(4):703. DOI 10.3390/genes13040703</mixed-citation></citation-alternatives></ref><ref id="cit21"><label>21</label><citation-alternatives><mixed-citation xml:lang="ru">Fan C., Wu Q., Ye X., Luo H., Yan D., Xiong D., Xiong Y., Zhu H., Diao Y., Zhang W., Wan J. Role of miR-211 in neuronal differentiation and viability: implications to pathogenesis of Alzheimer’s disease. Front. Aging Neurosci. 2016;8:166. DOI 10.3389/fnagi.2016.00166</mixed-citation><mixed-citation xml:lang="en">Fan C., Wu Q., Ye X., Luo H., Yan D., Xiong D., Xiong Y., Zhu H., Diao Y., Zhang W., Wan J. Role of miR-211 in neuronal differentiation and viability: implications to pathogenesis of Alzheimer’s disease. Front. Aging Neurosci. 2016;8:166. DOI 10.3389/fnagi.2016.00166</mixed-citation></citation-alternatives></ref><ref id="cit22"><label>22</label><citation-alternatives><mixed-citation xml:lang="ru">Flamier A., El Hajjar J., Adjaye J., Fernandes K.J., Abdouh M., Bernier G. Modeling late-onset sporadic Alzheimer’s disease through BMI1 deficiency. Cell Rep. 2018;23(9):2653-2666. DOI 10.1016/j.celrep.2018.04.097</mixed-citation><mixed-citation xml:lang="en">Flamier A., El Hajjar J., Adjaye J., Fernandes K.J., Abdouh M., Bernier G. Modeling late-onset sporadic Alzheimer’s disease through BMI1 deficiency. Cell Rep. 2018;23(9):2653-2666. DOI 10.1016/j.celrep.2018.04.097</mixed-citation></citation-alternatives></ref><ref id="cit23"><label>23</label><citation-alternatives><mixed-citation xml:lang="ru">Gatz M., Reynolds C.A., Fratiglioni L., Johansson B., Mortimer J.A., Berg S., Fiske A., Pedersen N.L. Role of genes and environments for explaining Alzheimer disease. Arch. Gen. Psychiatry. 2006;63(2): 168-174. DOI 10.1001/archpsyc.63.2.168</mixed-citation><mixed-citation xml:lang="en">Gatz M., Reynolds C.A., Fratiglioni L., Johansson B., Mortimer J.A., Berg S., Fiske A., Pedersen N.L. Role of genes and environments for explaining Alzheimer disease. Arch. Gen. Psychiatry. 2006;63(2): 168-174. DOI 10.1001/archpsyc.63.2.168</mixed-citation></citation-alternatives></ref><ref id="cit24"><label>24</label><citation-alternatives><mixed-citation xml:lang="ru">GNS H.S., Marise V.L.P., Satish K.S., Yergolkar A.V., Krishnamurthy M., Rajalekshmi G.S., Radhika K., Burri R.R. Untangling huge literature to disinter genetic underpinnings of Alzheimer’s disease: A systematic review and meta-analysis. Ageing Res. Rev. 2021;71: 101421. DOI 10.1016/j.arr.2021.101421</mixed-citation><mixed-citation xml:lang="en">GNS H.S., Marise V.L.P., Satish K.S., Yergolkar A.V., Krishnamurthy M., Rajalekshmi G.S., Radhika K., Burri R.R. Untangling huge literature to disinter genetic underpinnings of Alzheimer’s disease: A systematic review and meta-analysis. Ageing Res. Rev. 2021;71: 101421. DOI 10.1016/j.arr.2021.101421</mixed-citation></citation-alternatives></ref><ref id="cit25"><label>25</label><citation-alternatives><mixed-citation xml:lang="ru">Goate A. Segregation of a missense mutation in the amyloid beta-protein precursor gene with familial Alzheimer’s disease. J. Alzheimers Dis. 2006;9(3 Suppl.):341-347. DOI 10.3233/jad-2006-9s338</mixed-citation><mixed-citation xml:lang="en">Goate A. Segregation of a missense mutation in the amyloid beta-protein precursor gene with familial Alzheimer’s disease. J. Alzheimers Dis. 2006;9(3 Suppl.):341-347. DOI 10.3233/jad-2006-9s338</mixed-citation></citation-alternatives></ref><ref id="cit26"><label>26</label><citation-alternatives><mixed-citation xml:lang="ru">Grundman J., Spencer B., Sarsoza F., Rissman R.A. Transcriptome analyses reveal tau isoform-driven changes in transposable element and gene expression. PLoS One. 2021;16(9):e0251611. DOI 10.1371/journal.pone.0251611</mixed-citation><mixed-citation xml:lang="en">Grundman J., Spencer B., Sarsoza F., Rissman R.A. Transcriptome analyses reveal tau isoform-driven changes in transposable element and gene expression. PLoS One. 2021;16(9):e0251611. DOI 10.1371/journal.pone.0251611</mixed-citation></citation-alternatives></ref><ref id="cit27"><label>27</label><citation-alternatives><mixed-citation xml:lang="ru">Guerreiro R., Wojtas A., Bras J., Carrasquillo M., Rogaeva E., Majounie E., Cruchaga C., Sassi C., Kauwe J.S., Younkin S., Hazrati L., Collinge J., Pocock J., Lashley T., Williams J., Lambert J.C., Amouyel P., Goate A., Rademakers R., Morgan K., Powell J., St. George-Hyslop P., Singleton A., Hardy J., Alzheimer Genetic Analysis Group. TREM2 variants in Alzheimer’s disease. N. Engl. J. Med. 2013;368(2):117-127. DOI 10.1056/NEJMoa1211851</mixed-citation><mixed-citation xml:lang="en">Guerreiro R., Wojtas A., Bras J., Carrasquillo M., Rogaeva E., Majounie E., Cruchaga C., Sassi C., Kauwe J.S., Younkin S., Hazrati L., Collinge J., Pocock J., Lashley T., Williams J., Lambert J.C., Amouyel P., Goate A., Rademakers R., Morgan K., Powell J., St. George-Hyslop P., Singleton A., Hardy J., Alzheimer Genetic Analysis Group. TREM2 variants in Alzheimer’s disease. N. Engl. J. Med. 2013;368(2):117-127. DOI 10.1056/NEJMoa1211851</mixed-citation></citation-alternatives></ref><ref id="cit28"><label>28</label><citation-alternatives><mixed-citation xml:lang="ru">Guo C., Jeong H.H., Hsieh Y.C., Klein H.U., Bennett D.A., De Jager P.L., Liu Z., Shulman J.M. Tau activates transposable elements in Alzheimer’s disease. Cell Rep. 2018;23(10):2874-2880. DOI 10.1016/j.celrep.2018.05.004</mixed-citation><mixed-citation xml:lang="en">Guo C., Jeong H.H., Hsieh Y.C., Klein H.U., Bennett D.A., De Jager P.L., Liu Z., Shulman J.M. Tau activates transposable elements in Alzheimer’s disease. Cell Rep. 2018;23(10):2874-2880. DOI 10.1016/j.celrep.2018.05.004</mixed-citation></citation-alternatives></ref><ref id="cit29"><label>29</label><citation-alternatives><mixed-citation xml:lang="ru">Guo D., Ye Y., Qi J., Tan X., Zhang Y., Ma Y., Li Y. Age and sex diffe rences in microRNAs expression during the process of thymus aging. Acta Biochim. Biophys. Sin. (Shanghai). 2017;49(5):409-419. DOI 10.1093/abbs/gmx029</mixed-citation><mixed-citation xml:lang="en">Guo D., Ye Y., Qi J., Tan X., Zhang Y., Ma Y., Li Y. Age and sex diffe rences in microRNAs expression during the process of thymus aging. Acta Biochim. Biophys. Sin. (Shanghai). 2017;49(5):409-419. DOI 10.1093/abbs/gmx029</mixed-citation></citation-alternatives></ref><ref id="cit30"><label>30</label><citation-alternatives><mixed-citation xml:lang="ru">Guo R., Fan G., Zhang J., Wu C., Du Y., Ye H., Li Z., Wang L., Zhang Z., Zhang L., Zhao Y., Lu Z. A 9-microRNA signature in serum serves as a noninvasive biomarker in early diagnosis of Alzheimer’s disease. J. Alzheimers Dis. 2017;60(4):1365-1377. DOI 10.3233/JAD-170343</mixed-citation><mixed-citation xml:lang="en">Guo R., Fan G., Zhang J., Wu C., Du Y., Ye H., Li Z., Wang L., Zhang Z., Zhang L., Zhao Y., Lu Z. A 9-microRNA signature in serum serves as a noninvasive biomarker in early diagnosis of Alzheimer’s disease. J. Alzheimers Dis. 2017;60(4):1365-1377. DOI 10.3233/JAD-170343</mixed-citation></citation-alternatives></ref><ref id="cit31"><label>31</label><citation-alternatives><mixed-citation xml:lang="ru">Hajjari S.N., Sadigh-Eteghad S., Shanehbandi D., Teimourian S., Shahbazi A., Mehdizadeh M. MicroRNA-4422-5p as a negative regulator of amyloidogenic secretases: A potential biomarker for Alzheimer’s disease. Neuroscience. 2021;463:108-115. DOI 10.1016/j.neuroscience.2021.03.028</mixed-citation><mixed-citation xml:lang="en">Hajjari S.N., Sadigh-Eteghad S., Shanehbandi D., Teimourian S., Shahbazi A., Mehdizadeh M. MicroRNA-4422-5p as a negative regulator of amyloidogenic secretases: A potential biomarker for Alzheimer’s disease. Neuroscience. 2021;463:108-115. DOI 10.1016/j.neuroscience.2021.03.028</mixed-citation></citation-alternatives></ref><ref id="cit32"><label>32</label><citation-alternatives><mixed-citation xml:lang="ru">Hanna R., Flamier A., Barabino A., Bernier G. G-quadruplexes originating from evolutionary conserved L1 elements interfere with neuronal gene expression in Alzheimer’s disease. Nat. Commun. 2021; 12(1):1828. DOI 10.1038/s41467-021-22129-9</mixed-citation><mixed-citation xml:lang="en">Hanna R., Flamier A., Barabino A., Bernier G. G-quadruplexes originating from evolutionary conserved L1 elements interfere with neuronal gene expression in Alzheimer’s disease. Nat. Commun. 2021; 12(1):1828. DOI 10.1038/s41467-021-22129-9</mixed-citation></citation-alternatives></ref><ref id="cit33"><label>33</label><citation-alternatives><mixed-citation xml:lang="ru">Harold D., Abraham R., Hollingworth P., Sims R., Gerrish A., Hamshere M.L., Pahwa J.S., Moskvina V., Dowzell K., Williams A., Jones N., Thomas C., Stretton A., Morgan A.R., Loveston S., Po well J., Proitsi P., Klopp N., Wichmann H.E., Carrasquillo M.M., Pan kratz V.S., Yonkin S.G., Holmans P.A., O’Donovan M., Owen M.J., Williams J. Genome-wide association study identifies variants at CLU and PICALM associated with Alzheimer’s disease. Nat. Genet. 2009; 41(10):1088-1093. DOI 10.1038/ng.440</mixed-citation><mixed-citation xml:lang="en">Harold D., Abraham R., Hollingworth P., Sims R., Gerrish A., Hamshere M.L., Pahwa J.S., Moskvina V., Dowzell K., Williams A., Jones N., Thomas C., Stretton A., Morgan A.R., Loveston S., Po well J., Proitsi P., Klopp N., Wichmann H.E., Carrasquillo M.M., Pan kratz V.S., Yonkin S.G., Holmans P.A., O’Donovan M., Owen M.J., Williams J. Genome-wide association study identifies variants at CLU and PICALM associated with Alzheimer’s disease. Nat. Genet. 2009; 41(10):1088-1093. DOI 10.1038/ng.440</mixed-citation></citation-alternatives></ref><ref id="cit34"><label>34</label><citation-alternatives><mixed-citation xml:lang="ru">Henriques A.D., Machado-Silva W., Leite R.E.P., Suemoto C.K., Leite K.R.M., Srougi M., Pereira A.C., Jacob-Filho W., Brazilian Aging Brain Study Group. Genome-wide profiling and predicted significance of post-mortem brain microRNA in Alzheimer’s disease. Mech. Ageing Dev. 2020;191:111352. DOI 10.1016/j.mad.2020.111352</mixed-citation><mixed-citation xml:lang="en">Henriques A.D., Machado-Silva W., Leite R.E.P., Suemoto C.K., Leite K.R.M., Srougi M., Pereira A.C., Jacob-Filho W., Brazilian Aging Brain Study Group. Genome-wide profiling and predicted significance of post-mortem brain microRNA in Alzheimer’s disease. Mech. Ageing Dev. 2020;191:111352. DOI 10.1016/j.mad.2020.111352</mixed-citation></citation-alternatives></ref><ref id="cit35"><label>35</label><citation-alternatives><mixed-citation xml:lang="ru">Hong H., Li Y., Su B. Identification of circulating miR-125b as a potential biomarker of Alzheimer’s disease in APP/PS1 transgenic mouse. J. Alzheimers Dis. 2017;59(4):1449-1458. DOI 10.3233/JAD-170156</mixed-citation><mixed-citation xml:lang="en">Hong H., Li Y., Su B. Identification of circulating miR-125b as a potential biomarker of Alzheimer’s disease in APP/PS1 transgenic mouse. J. Alzheimers Dis. 2017;59(4):1449-1458. DOI 10.3233/JAD-170156</mixed-citation></citation-alternatives></ref><ref id="cit36"><label>36</label><citation-alternatives><mixed-citation xml:lang="ru">Hou Y., Song H., Croteau D.L., Akbari M., Bohr V.A. Genome instability in Alzheimer disease. Mech. Ageing Dev. 2017;161(Pt. A):83-94. DOI 10.1016/j.mad.2016.04.005</mixed-citation><mixed-citation xml:lang="en">Hou Y., Song H., Croteau D.L., Akbari M., Bohr V.A. Genome instability in Alzheimer disease. Mech. Ageing Dev. 2017;161(Pt. A):83-94. DOI 10.1016/j.mad.2016.04.005</mixed-citation></citation-alternatives></ref><ref id="cit37"><label>37</label><citation-alternatives><mixed-citation xml:lang="ru">Hu L., Zhang R., Yuan Q., Gao Y., Yang M.Q., Zhang C., Huang J., Sun Y., Yang W., Yang J.Y., Min Z., Cheng J., Deng Y., Hu X. The emerging role of microRNA-4487/6845-3p in Alzherimer’s disease pathologies is induced by Aβ25-35 triggered in SH-SY5Y cell. BMC Syst. Biol. 2018;12(Suppl. 7):119. DOI 10.1186/s12918-018-0633-3</mixed-citation><mixed-citation xml:lang="en">Hu L., Zhang R., Yuan Q., Gao Y., Yang M.Q., Zhang C., Huang J., Sun Y., Yang W., Yang J.Y., Min Z., Cheng J., Deng Y., Hu X. The emerging role of microRNA-4487/6845-3p in Alzherimer’s disease pathologies is induced by Aβ25-35 triggered in SH-SY5Y cell. BMC Syst. Biol. 2018;12(Suppl. 7):119. DOI 10.1186/s12918-018-0633-3</mixed-citation></citation-alternatives></ref><ref id="cit38"><label>38</label><citation-alternatives><mixed-citation xml:lang="ru">Ipson B.R., Fletcher M.B., Espinoza S.E., Fisher A.L. Identifying exo some-derived microRNAs as candidate biomarkers of frailty. J. Frailty Aging. 2018;7(2):100-103. DOI 10.14283/jfa.2017.45</mixed-citation><mixed-citation xml:lang="en">Ipson B.R., Fletcher M.B., Espinoza S.E., Fisher A.L. Identifying exo some-derived microRNAs as candidate biomarkers of frailty. J. Frailty Aging. 2018;7(2):100-103. DOI 10.14283/jfa.2017.45</mixed-citation></citation-alternatives></ref><ref id="cit39"><label>39</label><citation-alternatives><mixed-citation xml:lang="ru">Jia Y.M., Zhu C.F., She Z.Y., Wu M.M., Wu Y.Y., Zhou B.Y., Zhang N. Effects on autophagy of moxibustion at governor vessel acupoints in APP/PS1double-Transgenic Alzheimer’s Disease Mice through the lncRNA Six3os1/miR-511-3p/AKT3 Molecular Axis. Evid. Based Complement. Alternat. Med. 2022;2022:3881962. DOI 10.1155/2022/3881962</mixed-citation><mixed-citation xml:lang="en">Jia Y.M., Zhu C.F., She Z.Y., Wu M.M., Wu Y.Y., Zhou B.Y., Zhang N. Effects on autophagy of moxibustion at governor vessel acupoints in APP/PS1double-Transgenic Alzheimer’s Disease Mice through the lncRNA Six3os1/miR-511-3p/AKT3 Molecular Axis. Evid. Based Complement. Alternat. Med. 2022;2022:3881962. DOI 10.1155/2022/3881962</mixed-citation></citation-alternatives></ref><ref id="cit40"><label>40</label><citation-alternatives><mixed-citation xml:lang="ru">Kunkle B.W., Jaworski J., Barral S., Bardarajan B., Beecham G.W., Haines J.L., Pericak-Vance M. Genome-wide linkage analyses of non-Hispanic white families identify novel loci for familial late- onset Alzheimer’s disease. Alzheimer’s Dement. 2016;12(1):2-10. DOI 10.1016/j.jalz.2015.05.020</mixed-citation><mixed-citation xml:lang="en">Kunkle B.W., Jaworski J., Barral S., Bardarajan B., Beecham G.W., Haines J.L., Pericak-Vance M. Genome-wide linkage analyses of non-Hispanic white families identify novel loci for familial late- onset Alzheimer’s disease. Alzheimer’s Dement. 2016;12(1):2-10. DOI 10.1016/j.jalz.2015.05.020</mixed-citation></citation-alternatives></ref><ref id="cit41"><label>41</label><citation-alternatives><mixed-citation xml:lang="ru">Lambert J.C., Heath S., Even G., Campion D., Sleegers K., Hiltunen M., Combarros O., Zelenika D., Bullido M.J., Tavernier B., Letenneur L., Bettens K., Berr C., Pasquier F., Fievet N., BarbeergerGateau P., Engelborghs S., Deyn P.D., Mateo I., Franck A., Helisalmi S., Tzourio C., Gut I., Van Broeckhoven C., Alperovitch A., Lathrop M., Amouyel P. Genome-wide association study identifies variants at CLU and CR1 associated with Alzheimer’s disease. Nat. Genet. 2009;41(10):1094-1099. DOI 10.1038/ng.439</mixed-citation><mixed-citation xml:lang="en">Lambert J.C., Heath S., Even G., Campion D., Sleegers K., Hiltunen M., Combarros O., Zelenika D., Bullido M.J., Tavernier B., Letenneur L., Bettens K., Berr C., Pasquier F., Fievet N., BarbeergerGateau P., Engelborghs S., Deyn P.D., Mateo I., Franck A., Helisalmi S., Tzourio C., Gut I., Van Broeckhoven C., Alperovitch A., Lathrop M., Amouyel P. Genome-wide association study identifies variants at CLU and CR1 associated with Alzheimer’s disease. Nat. Genet. 2009;41(10):1094-1099. DOI 10.1038/ng.439</mixed-citation></citation-alternatives></ref><ref id="cit42"><label>42</label><citation-alternatives><mixed-citation xml:lang="ru">Lanni C., Masi M., Racchi M., Govoni S. Cancer and Alzheimer’s disease inverse relationship: an age-associated diverging derailment of shared pathways. Mol. Psychiatry. 2021;26(1):280-295. DOI 10.1038/s41380-020-0760-2</mixed-citation><mixed-citation xml:lang="en">Lanni C., Masi M., Racchi M., Govoni S. Cancer and Alzheimer’s disease inverse relationship: an age-associated diverging derailment of shared pathways. Mol. Psychiatry. 2021;26(1):280-295. DOI 10.1038/s41380-020-0760-2</mixed-citation></citation-alternatives></ref><ref id="cit43"><label>43</label><citation-alternatives><mixed-citation xml:lang="ru">Larsen P.A., Lutz M.W., Hunnicutt K.E., Mihovilovic M., Saunders A.M., Yoder A.D., Roses A.D. The Alu neurodegeneration hypothesis: A primate-specific mechanism for neuronal transcription noise, mitochondrial dysfunction, and manifestation of neurodegenerative disease. Alzheimer’s Dement. 2017;13(7):828-838. DOI 10.1016/j.jalz.2017.01.017</mixed-citation><mixed-citation xml:lang="en">Larsen P.A., Lutz M.W., Hunnicutt K.E., Mihovilovic M., Saunders A.M., Yoder A.D., Roses A.D. The Alu neurodegeneration hypothesis: A primate-specific mechanism for neuronal transcription noise, mitochondrial dysfunction, and manifestation of neurodegenerative disease. Alzheimer’s Dement. 2017;13(7):828-838. DOI 10.1016/j.jalz.2017.01.017</mixed-citation></citation-alternatives></ref><ref id="cit44"><label>44</label><citation-alternatives><mixed-citation xml:lang="ru">Lee B.P., Buric I., George-Pandeth A., Flurkey K., Harrison D.E., Yuan R., Peters L.L., Kuchel G.A., Melzer D., Harries L.W. MicroRNAs miR-203-3p, miR-664-3p and miR-708-5p are associated with median strain lifespan in mice. Sci. Rep. 2017;7:44620. DOI 10.1038/srep44620</mixed-citation><mixed-citation xml:lang="en">Lee B.P., Buric I., George-Pandeth A., Flurkey K., Harrison D.E., Yuan R., Peters L.L., Kuchel G.A., Melzer D., Harries L.W. MicroRNAs miR-203-3p, miR-664-3p and miR-708-5p are associated with median strain lifespan in mice. Sci. Rep. 2017;7:44620. DOI 10.1038/srep44620</mixed-citation></citation-alternatives></ref><ref id="cit45"><label>45</label><citation-alternatives><mixed-citation xml:lang="ru">Levy-Lahad E., Wasco W., Poorkaj P., Romano D.M., Oshima J., Pettingell W.H., Yu C.E., Jondro P.D., Schmidt S.D., Wang K. Candidate gene for the chromosome 1 familial Alzheimer’s disease locus. Science. 1995;269(5226):973-977. DOI 10.1126/science.7638622</mixed-citation><mixed-citation xml:lang="en">Levy-Lahad E., Wasco W., Poorkaj P., Romano D.M., Oshima J., Pettingell W.H., Yu C.E., Jondro P.D., Schmidt S.D., Wang K. Candidate gene for the chromosome 1 familial Alzheimer’s disease locus. Science. 1995;269(5226):973-977. DOI 10.1126/science.7638622</mixed-citation></citation-alternatives></ref><ref id="cit46"><label>46</label><citation-alternatives><mixed-citation xml:lang="ru">Liu Q.Y., Chang M.N.V., Lei J.X., Koukiekolo R., Smith B., Zhang D., Ghribi O. Identification of microRNAs involved in Alzheimer’s progression using a rabbit model of the disease. Am. J. Neurodegener. Dis. 2014;3(1):33-44</mixed-citation><mixed-citation xml:lang="en">Liu Q.Y., Chang M.N.V., Lei J.X., Koukiekolo R., Smith B., Zhang D., Ghribi O. Identification of microRNAs involved in Alzheimer’s progression using a rabbit model of the disease. Am. J. Neurodegener. Dis. 2014;3(1):33-44</mixed-citation></citation-alternatives></ref><ref id="cit47"><label>47</label><citation-alternatives><mixed-citation xml:lang="ru">Lu L., Dai W., Zhu X., Ma T. Analysis of serum miRNAs in Alzheimer’s disease. Am. J. Alzheimers Dis. Other Demen. 2021;36: 15333175211021712. DOI 10.1177/15333175211021712</mixed-citation><mixed-citation xml:lang="en">Lu L., Dai W., Zhu X., Ma T. Analysis of serum miRNAs in Alzheimer’s disease. Am. J. Alzheimers Dis. Other Demen. 2021;36: 15333175211021712. DOI 10.1177/15333175211021712</mixed-citation></citation-alternatives></ref><ref id="cit48"><label>48</label><citation-alternatives><mixed-citation xml:lang="ru">Ma F.C., Wang H.F., Cao X.P., Tan C.C., Tan L., Yu J.T. Meta-analysis of the association between variants in ABCA7 and Alzheimer’s disease. J. Alzheimers Dis. 2018;63(4):1261-1267. DOI 10.3233/JAD-180107</mixed-citation><mixed-citation xml:lang="en">Ma F.C., Wang H.F., Cao X.P., Tan C.C., Tan L., Yu J.T. Meta-analysis of the association between variants in ABCA7 and Alzheimer’s disease. J. Alzheimers Dis. 2018;63(4):1261-1267. DOI 10.3233/JAD-180107</mixed-citation></citation-alternatives></ref><ref id="cit49"><label>49</label><citation-alternatives><mixed-citation xml:lang="ru">Macciardi F., Bacalini M.G., Miramontes R., Boattini A., Taccioli C., Modenini G., Malhas R., Anderlucci L., Gusev Y., Gross T.J., Padilla R.M., Fiandaca M.S., Head E., Guffanti G., Federoff H.J., Mapstone M. A retrotransposon storm marks clinical phenoconversion to late-onset Alzheimer’s disease. Geroscience. 2022;44(3):15251550. DOI 10.1007/s11357-022-00580-w</mixed-citation><mixed-citation xml:lang="en">Macciardi F., Bacalini M.G., Miramontes R., Boattini A., Taccioli C., Modenini G., Malhas R., Anderlucci L., Gusev Y., Gross T.J., Padilla R.M., Fiandaca M.S., Head E., Guffanti G., Federoff H.J., Mapstone M. A retrotransposon storm marks clinical phenoconversion to late-onset Alzheimer’s disease. Geroscience. 2022;44(3):15251550. DOI 10.1007/s11357-022-00580-w</mixed-citation></citation-alternatives></ref><ref id="cit50"><label>50</label><citation-alternatives><mixed-citation xml:lang="ru">Majumder P., Chanda K., Das D., Singh B.K., Charkrabarti P., Jana N.R., Mukhopadhyay D. A nexus of miR-1271, PAX4 and ALK/RYK influences the cytoskeletal architectures in Alzheimer’s disease and type 2 diabetes. Biochem. J. 2021;478(17):3297-3317. DOI 10.1042/BCJ20210175</mixed-citation><mixed-citation xml:lang="en">Majumder P., Chanda K., Das D., Singh B.K., Charkrabarti P., Jana N.R., Mukhopadhyay D. A nexus of miR-1271, PAX4 and ALK/RYK influences the cytoskeletal architectures in Alzheimer’s disease and type 2 diabetes. Biochem. J. 2021;478(17):3297-3317. DOI 10.1042/BCJ20210175</mixed-citation></citation-alternatives></ref><ref id="cit51"><label>51</label><citation-alternatives><mixed-citation xml:lang="ru">Marioni R.E., Harris S.E., Zhang Q., McRae A.F., Hagenaars S.P., Hill W.D., Davies G., Ritchie C.W., Gale C.R., Starr J.M., Goate A.M., Porteous D.J., Yang J., Evans K.L., Deary I.J., Wray N.R., Viss cher P.M. GWAS on family history of Alzheimer’s disease. Transl. Psychiatry. 2018;8(1):99. DOI 10.1038/s41398-018-0150-6</mixed-citation><mixed-citation xml:lang="en">Marioni R.E., Harris S.E., Zhang Q., McRae A.F., Hagenaars S.P., Hill W.D., Davies G., Ritchie C.W., Gale C.R., Starr J.M., Goate A.M., Porteous D.J., Yang J., Evans K.L., Deary I.J., Wray N.R., Viss cher P.M. GWAS on family history of Alzheimer’s disease. Transl. Psychiatry. 2018;8(1):99. DOI 10.1038/s41398-018-0150-6</mixed-citation></citation-alternatives></ref><ref id="cit52"><label>52</label><citation-alternatives><mixed-citation xml:lang="ru">Mustafin R.N. The relationship between transposons and transcription factors in the evolution of eukaryotes. Zhurnal Evolyutsionnoi Biokhimii i Fiziologii = Journal of Evolutionary Biochemistry and Physiology. 2019;55(1):14-22. DOI 10.1134/S004445291901008X (in Russian)</mixed-citation><mixed-citation xml:lang="en">Mustafin R.N. The relationship between transposons and transcription factors in the evolution of eukaryotes. Zhurnal Evolyutsionnoi Biokhimii i Fiziologii = Journal of Evolutionary Biochemistry and Physiology. 2019;55(1):14-22. DOI 10.1134/S004445291901008X (in Russian)</mixed-citation></citation-alternatives></ref><ref id="cit53"><label>53</label><citation-alternatives><mixed-citation xml:lang="ru">Mustafin R.N., Khusnutdinova E.K. Non-coding parts of genomes as the basis of epigenetic heredity. Vavilovskii Zhurnal Genetiki i Selektsii = Vavilov Journal of Genetics and Breeding. 2017;21(6):742-749. DOI 10.18699/VJ17.30-o (in Russian)</mixed-citation><mixed-citation xml:lang="en">Mustafin R.N., Khusnutdinova E.K. Non-coding parts of genomes as the basis of epigenetic heredity. Vavilovskii Zhurnal Genetiki i Selektsii = Vavilov Journal of Genetics and Breeding. 2017;21(6):742-749. DOI 10.18699/VJ17.30-o (in Russian)</mixed-citation></citation-alternatives></ref><ref id="cit54"><label>54</label><citation-alternatives><mixed-citation xml:lang="ru">Niu H., Alvarez-Alvarez I., Guillen-Grima F., Aguinaga-Ontoso I. Prevalence and incidence of Alzheimer’s disease in Europe: A metaanalysis. Neurologia. 2017;32(8):523-532. DOI 10.1016/j.nrl.2016.02.016</mixed-citation><mixed-citation xml:lang="en">Niu H., Alvarez-Alvarez I., Guillen-Grima F., Aguinaga-Ontoso I. Prevalence and incidence of Alzheimer’s disease in Europe: A metaanalysis. Neurologia. 2017;32(8):523-532. DOI 10.1016/j.nrl.2016.02.016</mixed-citation></citation-alternatives></ref><ref id="cit55"><label>55</label><citation-alternatives><mixed-citation xml:lang="ru">Noren Hooten N., Fitzpatrick M., Wood W.H. 3rd, De S., Ejiogu N., Zhang Y., Mattison J.A., Becker K.G., Zonderman A.B., Evans M.K. Age-related changes in microRNA levels in serum. Aging (Albany N. Y.). 2013;5(10):725-740. DOI 10.18632/aging.100603</mixed-citation><mixed-citation xml:lang="en">Noren Hooten N., Fitzpatrick M., Wood W.H. 3rd, De S., Ejiogu N., Zhang Y., Mattison J.A., Becker K.G., Zonderman A.B., Evans M.K. Age-related changes in microRNA levels in serum. Aging (Albany N. Y.). 2013;5(10):725-740. DOI 10.18632/aging.100603</mixed-citation></citation-alternatives></ref><ref id="cit56"><label>56</label><citation-alternatives><mixed-citation xml:lang="ru">Pan W., Hu Y., Wang L., Li J. Circ_0003611 acts as a miR-885-5p sponge to aggravate the amyloid-β-induced neuronal injury in Alzheimer’s disease. Metab. Brain Dis. 2022;37(4):961-971. DOI 10.1007/s11011-022-00912-x</mixed-citation><mixed-citation xml:lang="en">Pan W., Hu Y., Wang L., Li J. Circ_0003611 acts as a miR-885-5p sponge to aggravate the amyloid-β-induced neuronal injury in Alzheimer’s disease. Metab. Brain Dis. 2022;37(4):961-971. DOI 10.1007/s11011-022-00912-x</mixed-citation></citation-alternatives></ref><ref id="cit57"><label>57</label><citation-alternatives><mixed-citation xml:lang="ru">Pascarella G., Hon C.C., Hashimoto K., Busch A., Luginbuhl J., Parr C., Yip W.H., Abe K., Kratz A., Bonetti A., Agostini F., Severin J., Murayama S., Suzuki Y., Gustincich S., Frith M., Carninci P. Recombination of repeat elements generates somatic complexity in human genomes. Cell. 2022;185(16):3025-3040.e6. DOI 10.1016/j.cell.2022.06.032</mixed-citation><mixed-citation xml:lang="en">Pascarella G., Hon C.C., Hashimoto K., Busch A., Luginbuhl J., Parr C., Yip W.H., Abe K., Kratz A., Bonetti A., Agostini F., Severin J., Murayama S., Suzuki Y., Gustincich S., Frith M., Carninci P. Recombination of repeat elements generates somatic complexity in human genomes. Cell. 2022;185(16):3025-3040.e6. DOI 10.1016/j.cell.2022.06.032</mixed-citation></citation-alternatives></ref><ref id="cit58"><label>58</label><citation-alternatives><mixed-citation xml:lang="ru">Patel H., Dobson R.J.B., Newhouse S.J. A meta-analysis of Alzheimer’s disease brain transcriptomic data. J. Alzheimers Dis. 2019; 68(4):1635-1656. DOI 10.3233/JAD-181085</mixed-citation><mixed-citation xml:lang="en">Patel H., Dobson R.J.B., Newhouse S.J. A meta-analysis of Alzheimer’s disease brain transcriptomic data. J. Alzheimers Dis. 2019; 68(4):1635-1656. DOI 10.3233/JAD-181085</mixed-citation></citation-alternatives></ref><ref id="cit59"><label>59</label><citation-alternatives><mixed-citation xml:lang="ru">Protasova M.S., Andreeva T.V., Rogaev E.I. Factors regulating the activity of LINE1 retrotransposons. Genes (Basel). 2021;12(10):1562. DOI 10.3390/genes12101562</mixed-citation><mixed-citation xml:lang="en">Protasova M.S., Andreeva T.V., Rogaev E.I. Factors regulating the activity of LINE1 retrotransposons. Genes (Basel). 2021;12(10):1562. DOI 10.3390/genes12101562</mixed-citation></citation-alternatives></ref><ref id="cit60"><label>60</label><citation-alternatives><mixed-citation xml:lang="ru">Qin Z., Han X., Ran J., Guo S., Lv L. Exercise-mediated alteration of miR-192-5p is associated with cognitive improvement in Alzheimer’s disease. Neuroimmunomodulation. 2022;29(1):36-43. DOI 10.1159/000516928</mixed-citation><mixed-citation xml:lang="en">Qin Z., Han X., Ran J., Guo S., Lv L. Exercise-mediated alteration of miR-192-5p is associated with cognitive improvement in Alzheimer’s disease. Neuroimmunomodulation. 2022;29(1):36-43. DOI 10.1159/000516928</mixed-citation></citation-alternatives></ref><ref id="cit61"><label>61</label><citation-alternatives><mixed-citation xml:lang="ru">Raheja R., Regev K., Healy B.C., Mazzola M.A., Beynon V., Glehn F.V., Paul A., Diaz-Cruz C., Gholipour T., Glanz B.I., Kivisakk P., Chitnis T., Weiner H.L., Berry J.D., Gandhi R. Correlating serum microRNAs and clinical parameters in amyotrophic lateral sclerosis. Muscle Nerve. 2018;58(2):261-269. DOI 10.1002/mus.26106</mixed-citation><mixed-citation xml:lang="en">Raheja R., Regev K., Healy B.C., Mazzola M.A., Beynon V., Glehn F.V., Paul A., Diaz-Cruz C., Gholipour T., Glanz B.I., Kivisakk P., Chitnis T., Weiner H.L., Berry J.D., Gandhi R. Correlating serum microRNAs and clinical parameters in amyotrophic lateral sclerosis. Muscle Nerve. 2018;58(2):261-269. DOI 10.1002/mus.26106</mixed-citation></citation-alternatives></ref><ref id="cit62"><label>62</label><citation-alternatives><mixed-citation xml:lang="ru">Rahman M.R., Islam T., Turanli B., Zaman T., Faruquee H.M., Rahman M.M., Mollah M.N.H., Nanda R.K., Arga K.Y., Gov E., Moni M.A. Network-based approach to identify molecular signatures and therapeutic agents in Alzheimer’s disease. Comput. Biol. Chem. 2019;78:431-439. DOI 10.1016/j.compbiolchem.2018.12.011</mixed-citation><mixed-citation xml:lang="en">Rahman M.R., Islam T., Turanli B., Zaman T., Faruquee H.M., Rahman M.M., Mollah M.N.H., Nanda R.K., Arga K.Y., Gov E., Moni M.A. Network-based approach to identify molecular signatures and therapeutic agents in Alzheimer’s disease. Comput. Biol. Chem. 2019;78:431-439. DOI 10.1016/j.compbiolchem.2018.12.011</mixed-citation></citation-alternatives></ref><ref id="cit63"><label>63</label><citation-alternatives><mixed-citation xml:lang="ru">Rahman M.R., Islam T., Zaman T., Shahjaman M., Karim M.R., Huq F., Quinn J.M.W., Holsinger R.M.D., Gov E., Moni M.A. Identification of molecular signatures and pathways to identify novel therapeutic targets in Alzheimer’s disease: Insights from a systems biomedicine perspective. Genomics. 2020;112(2):1290-1299. DOI 10.1016/j.ygeno.2019.07.018</mixed-citation><mixed-citation xml:lang="en">Rahman M.R., Islam T., Zaman T., Shahjaman M., Karim M.R., Huq F., Quinn J.M.W., Holsinger R.M.D., Gov E., Moni M.A. Identification of molecular signatures and pathways to identify novel therapeutic targets in Alzheimer’s disease: Insights from a systems biomedicine perspective. Genomics. 2020;112(2):1290-1299. DOI 10.1016/j.ygeno.2019.07.018</mixed-citation></citation-alternatives></ref><ref id="cit64"><label>64</label><citation-alternatives><mixed-citation xml:lang="ru">Raihan O., Brishti A., Molla M.R., Li W., Zhang Q., Xu P., Khan M.I., Zhang J., Liu Q. The age-dependent elevation of miR-335-3p leads to reduced cholesterol and impaired memory in brain. Neuroscience. 2018;390:160-173. DOI 10.1016/j.neuroscience.2018.08.003</mixed-citation><mixed-citation xml:lang="en">Raihan O., Brishti A., Molla M.R., Li W., Zhang Q., Xu P., Khan M.I., Zhang J., Liu Q. The age-dependent elevation of miR-335-3p leads to reduced cholesterol and impaired memory in brain. Neuroscience. 2018;390:160-173. DOI 10.1016/j.neuroscience.2018.08.003</mixed-citation></citation-alternatives></ref><ref id="cit65"><label>65</label><citation-alternatives><mixed-citation xml:lang="ru">Ramirez P., Zuniga G., Sun W., Beckmann A., Ochoa E., DeVos S., Hyman B., Chiu G., Roy E.R., Cao W., Orr M., Buggia-Prevot V., Ray W.J., Frost B. Pathogenic tau accelerates aging-associated activation of transposable elements in the mouse central nervous system. Prog. Neurobiol. 2022;208:102181. DOI 10.1016/j.pneurobio.2021.102181</mixed-citation><mixed-citation xml:lang="en">Ramirez P., Zuniga G., Sun W., Beckmann A., Ochoa E., DeVos S., Hyman B., Chiu G., Roy E.R., Cao W., Orr M., Buggia-Prevot V., Ray W.J., Frost B. Pathogenic tau accelerates aging-associated activation of transposable elements in the mouse central nervous system. Prog. Neurobiol. 2022;208:102181. DOI 10.1016/j.pneurobio.2021.102181</mixed-citation></citation-alternatives></ref><ref id="cit66"><label>66</label><citation-alternatives><mixed-citation xml:lang="ru">Ravel-Godreuil C., Zhaidi R., Bonnifet T., Joshi R.L., Fuchs J. Transposable elements as new players in neurodegenerative diseases. FEBS Lett. 2021;595(22):2733-2755. DOI 10.1002/1873-3468.14205</mixed-citation><mixed-citation xml:lang="en">Ravel-Godreuil C., Zhaidi R., Bonnifet T., Joshi R.L., Fuchs J. Transposable elements as new players in neurodegenerative diseases. FEBS Lett. 2021;595(22):2733-2755. DOI 10.1002/1873-3468.14205</mixed-citation></citation-alternatives></ref><ref id="cit67"><label>67</label><citation-alternatives><mixed-citation xml:lang="ru">Robinson M., Lee B.Y., Hane F.T. Recent progress in Alzheimer’s disease research. Part 2: genetics and epidemiology. J. Alzheimers Dis. 2017;57(2):317-330. DOI 10.3233/JAD-161149</mixed-citation><mixed-citation xml:lang="en">Robinson M., Lee B.Y., Hane F.T. Recent progress in Alzheimer’s disease research. Part 2: genetics and epidemiology. J. Alzheimers Dis. 2017;57(2):317-330. DOI 10.3233/JAD-161149</mixed-citation></citation-alternatives></ref><ref id="cit68"><label>68</label><citation-alternatives><mixed-citation xml:lang="ru">Rogaev E.I., Lukiw W.J., Lavrushina O., Rogaeva E.A., St. GeorgeHyslop P.H. The upstream promoter of the β-amyloid precursor protein gene (APP) shows differential patterns of methylation in human brain. Genomics. 1994;22(2):340-347. DOI 10.1006/geno.1994.1393</mixed-citation><mixed-citation xml:lang="en">Rogaev E.I., Lukiw W.J., Lavrushina O., Rogaeva E.A., St. GeorgeHyslop P.H. The upstream promoter of the β-amyloid precursor protein gene (APP) shows differential patterns of methylation in human brain. Genomics. 1994;22(2):340-347. DOI 10.1006/geno.1994.1393</mixed-citation></citation-alternatives></ref><ref id="cit69"><label>69</label><citation-alternatives><mixed-citation xml:lang="ru">Samadian M., Gholipour M., Hajiesmaeili M., Taheri M., GhafouriFard S. The eminent role of microRNAs in the pathogenesis of Alz heimer’s disease. Front. Aging Neurosci. 2021;13:641080. DOI 10.3389/fnagi.2021.641080</mixed-citation><mixed-citation xml:lang="en">Samadian M., Gholipour M., Hajiesmaeili M., Taheri M., GhafouriFard S. The eminent role of microRNAs in the pathogenesis of Alz heimer’s disease. Front. Aging Neurosci. 2021;13:641080. DOI 10.3389/fnagi.2021.641080</mixed-citation></citation-alternatives></ref><ref id="cit70"><label>70</label><citation-alternatives><mixed-citation xml:lang="ru">Sataranatarajan K., Feliers D., Mariappan M.M., Lee H.J., Lee M.J., Day R.T., Bindu H., Yalamanchili H.B., Choudhury G.G., Barnes J.L., Remmen H.V., Richardson A., Kasinath B.S. Molecular events in matrix protein metabolism in the aging kidney. Aging Cell. 2012;11(6):1065-1073. DOI 10.1111/acel.12008</mixed-citation><mixed-citation xml:lang="en">Sataranatarajan K., Feliers D., Mariappan M.M., Lee H.J., Lee M.J., Day R.T., Bindu H., Yalamanchili H.B., Choudhury G.G., Barnes J.L., Remmen H.V., Richardson A., Kasinath B.S. Molecular events in matrix protein metabolism in the aging kidney. Aging Cell. 2012;11(6):1065-1073. DOI 10.1111/acel.12008</mixed-citation></citation-alternatives></ref><ref id="cit71"><label>71</label><citation-alternatives><mixed-citation xml:lang="ru">Satoh J.I., Kino Y., Niida S. MicroRNA-seq data analysis pipeline to identify blood biomarkes for Alzheimer’s disease from public data. Biomark. Insights. 2015;10:21-31. DOI 10.4137/BMI.S25132</mixed-citation><mixed-citation xml:lang="en">Satoh J.I., Kino Y., Niida S. MicroRNA-seq data analysis pipeline to identify blood biomarkes for Alzheimer’s disease from public data. Biomark. Insights. 2015;10:21-31. DOI 10.4137/BMI.S25132</mixed-citation></citation-alternatives></ref><ref id="cit72"><label>72</label><citation-alternatives><mixed-citation xml:lang="ru">Schwartzentruber J., Cooper S., Liu J.Z., Barrio-Hernandez I., Bello E., Kumasaka N., Young A.M.H., Franklin R.J.M., Johnson T., Estrada K., Gaffney D.J., Beltrao P., Bassett A. Genome-wide metaanalysis, fine-mapping and integrative prioritization implicate new Alzheimer’s disease risk genes. Nat. Genet. 2021;53(3):392-402. DOI 10.1038/s41588-020-00776-w</mixed-citation><mixed-citation xml:lang="en">Schwartzentruber J., Cooper S., Liu J.Z., Barrio-Hernandez I., Bello E., Kumasaka N., Young A.M.H., Franklin R.J.M., Johnson T., Estrada K., Gaffney D.J., Beltrao P., Bassett A. Genome-wide metaanalysis, fine-mapping and integrative prioritization implicate new Alzheimer’s disease risk genes. Nat. Genet. 2021;53(3):392-402. DOI 10.1038/s41588-020-00776-w</mixed-citation></citation-alternatives></ref><ref id="cit73"><label>73</label><citation-alternatives><mixed-citation xml:lang="ru">Serrano-Pozo A., Das S., Hyman B.T. APOE and Alzheimer’s disease: advances in genetics, pathophysiology, and therapeutic approaches. Lancet Neurol. 2021;20(1):68-80. DOI 10.1016/S1474-4422(20)30412-9</mixed-citation><mixed-citation xml:lang="en">Serrano-Pozo A., Das S., Hyman B.T. APOE and Alzheimer’s disease: advances in genetics, pathophysiology, and therapeutic approaches. Lancet Neurol. 2021;20(1):68-80. DOI 10.1016/S1474-4422(20)30412-9</mixed-citation></citation-alternatives></ref><ref id="cit74"><label>74</label><citation-alternatives><mixed-citation xml:lang="ru">Sherrington R., Rogaev E.I., Liang Y., Rogaeva E.A., Levesque G., Ikeda M., Chi H., Lin C., Li G., Holman K., Tsuda T., Mar L., Foncin J.F., Bruni A.C., Montesi M.P., Sorbi S., Rainero I., Pinessi L., Nee L., Chumakov I., Pollen D., Brookes A., Sanseau P., Polinsky R.J., Wasco W., Da Silva H.A., Haines J.L., Perkicak-Vance M.A., Tanzi R.E., Roses A.D., Fraser P.E., Rommens J.M., St. George-Hyslop P.H. Cloning of a gene bearing missense mutations in early-onset familial Alzheimer’s disease. Nature. 1995;375(6534):754-760. DOI 10.1038/375754a0</mixed-citation><mixed-citation xml:lang="en">Sherrington R., Rogaev E.I., Liang Y., Rogaeva E.A., Levesque G., Ikeda M., Chi H., Lin C., Li G., Holman K., Tsuda T., Mar L., Foncin J.F., Bruni A.C., Montesi M.P., Sorbi S., Rainero I., Pinessi L., Nee L., Chumakov I., Pollen D., Brookes A., Sanseau P., Polinsky R.J., Wasco W., Da Silva H.A., Haines J.L., Perkicak-Vance M.A., Tanzi R.E., Roses A.D., Fraser P.E., Rommens J.M., St. George-Hyslop P.H. Cloning of a gene bearing missense mutations in early-onset familial Alzheimer’s disease. Nature. 1995;375(6534):754-760. DOI 10.1038/375754a0</mixed-citation></citation-alternatives></ref><ref id="cit75"><label>75</label><citation-alternatives><mixed-citation xml:lang="ru">Sierksma A., Lu A., Salta E., Eynden E.V., Callaerts-Vegh Z., D’Hooge R., Blum D., Buee L., Fiers M., Stooper B.D. Deregulation of neuronal miRNAs induced by amyloid-β or TAU pathology. Mol. Neurodegener. 2018;13(1):54. DOI 10.1186/s13024-018-0285-1</mixed-citation><mixed-citation xml:lang="en">Sierksma A., Lu A., Salta E., Eynden E.V., Callaerts-Vegh Z., D’Hooge R., Blum D., Buee L., Fiers M., Stooper B.D. Deregulation of neuronal miRNAs induced by amyloid-β or TAU pathology. Mol. Neurodegener. 2018;13(1):54. DOI 10.1186/s13024-018-0285-1</mixed-citation></citation-alternatives></ref><ref id="cit76"><label>76</label><citation-alternatives><mixed-citation xml:lang="ru">Smith R.G., Pishva E., Shireby G., Smith A.R., Roubroeks J.A.Y., Hannon E., Wheildon G., Mastroeni D., Gasparoni G., Riemenschneider M., Giese A., Sharp A.J., Schalkwyk L., Haroutunian V., Viechtb auer W., van den Hove D.L.A., Weedon M., Brokaw D., Francis P.T., Thomas A.J., Love S., Morgan K., Walter J., Coleman P.D., Bennett D.A., De Jager P.L., Mill J., Lunnon K. A meta-analysis of epigenome-wide association studies in Alzheimer’s disease highlights novel differentially methylated loci across cortex. Nat. Commun. 2021;12(1):3517. DOI 10.1038/s41467-021-23243-4</mixed-citation><mixed-citation xml:lang="en">Smith R.G., Pishva E., Shireby G., Smith A.R., Roubroeks J.A.Y., Hannon E., Wheildon G., Mastroeni D., Gasparoni G., Riemenschneider M., Giese A., Sharp A.J., Schalkwyk L., Haroutunian V., Viechtb auer W., van den Hove D.L.A., Weedon M., Brokaw D., Francis P.T., Thomas A.J., Love S., Morgan K., Walter J., Coleman P.D., Bennett D.A., De Jager P.L., Mill J., Lunnon K. A meta-analysis of epigenome-wide association studies in Alzheimer’s disease highlights novel differentially methylated loci across cortex. Nat. Commun. 2021;12(1):3517. DOI 10.1038/s41467-021-23243-4</mixed-citation></citation-alternatives></ref><ref id="cit77"><label>77</label><citation-alternatives><mixed-citation xml:lang="ru">Smith-Vikos T., Liu Z., Parsons C., Gorospe M., Ferrucci L., Gill T.M., Slack F.J. A serum miRNA profile of human longevity: findings from the Baltimore Longitudinal Study of Aging (BLSA). Aging (Albany N.Y.). 2016;8(11):2971-2987. DOI 10.18632/aging.101106</mixed-citation><mixed-citation xml:lang="en">Smith-Vikos T., Liu Z., Parsons C., Gorospe M., Ferrucci L., Gill T.M., Slack F.J. A serum miRNA profile of human longevity: findings from the Baltimore Longitudinal Study of Aging (BLSA). Aging (Albany N.Y.). 2016;8(11):2971-2987. DOI 10.18632/aging.101106</mixed-citation></citation-alternatives></ref><ref id="cit78"><label>78</label><citation-alternatives><mixed-citation xml:lang="ru">Sun W., Samimi H., Gamez M., Zare H., Frost B. Pathogenic tau-induced piRNA depletion promotes neuronal death through transposable element dysregulation in neurodegenerative tauopathies. Nat. Neurosci. 2018;21(8):1038-1048. DOI 10.1038/s41593-018-0194-1</mixed-citation><mixed-citation xml:lang="en">Sun W., Samimi H., Gamez M., Zare H., Frost B. Pathogenic tau-induced piRNA depletion promotes neuronal death through transposable element dysregulation in neurodegenerative tauopathies. Nat. Neurosci. 2018;21(8):1038-1048. DOI 10.1038/s41593-018-0194-1</mixed-citation></citation-alternatives></ref><ref id="cit79"><label>79</label><citation-alternatives><mixed-citation xml:lang="ru">Swarbrick S., Wragg N., Ghosh S., Stolzing A. Systematic review of miRNA as biomarkers in Alzheimer’s disease. Mol. Neurobiol. 2019;56(9):6156-6167. DOI 10.1007/s12035-019-1500-y</mixed-citation><mixed-citation xml:lang="en">Swarbrick S., Wragg N., Ghosh S., Stolzing A. Systematic review of miRNA as biomarkers in Alzheimer’s disease. Mol. Neurobiol. 2019;56(9):6156-6167. DOI 10.1007/s12035-019-1500-y</mixed-citation></citation-alternatives></ref><ref id="cit80"><label>80</label><citation-alternatives><mixed-citation xml:lang="ru">Tan L., Yu J.T., Tan M.S., Liu Q.Y., Wang H.F., Zhang W., Jiang T., Tan L. Genome-wide serum microRNA expression profiling identifies serum biomarkers for Alzheimer’s disease. J. Alzheimers Dis. 2014;40(4):1017-1027. DOI 10.3233/JAD-132144</mixed-citation><mixed-citation xml:lang="en">Tan L., Yu J.T., Tan M.S., Liu Q.Y., Wang H.F., Zhang W., Jiang T., Tan L. Genome-wide serum microRNA expression profiling identifies serum biomarkers for Alzheimer’s disease. J. Alzheimers Dis. 2014;40(4):1017-1027. DOI 10.3233/JAD-132144</mixed-citation></citation-alternatives></ref><ref id="cit81"><label>81</label><citation-alternatives><mixed-citation xml:lang="ru">Tan X., Luo Y., Pi D., Xia L., Li Z., Tu Q. MiR-340 reduces the accumulation of amyloid-β through targeting BACE1 (β-site amyloid precursor protein cleaving enzyme 1) in Alzheimer’s disease. Curr. Neurovasc. Res. 2020;17(1):86-92. DOI 10.2174/1567202617666200117103931</mixed-citation><mixed-citation xml:lang="en">Tan X., Luo Y., Pi D., Xia L., Li Z., Tu Q. MiR-340 reduces the accumulation of amyloid-β through targeting BACE1 (β-site amyloid precursor protein cleaving enzyme 1) in Alzheimer’s disease. Curr. Neurovasc. Res. 2020;17(1):86-92. DOI 10.2174/1567202617666200117103931</mixed-citation></citation-alternatives></ref><ref id="cit82"><label>82</label><citation-alternatives><mixed-citation xml:lang="ru">Ukai T., Sato M., Akutsu H., Umezawa A., Mochida J. MicroRNA-199a-3p, microRNA-193b, and microRNA-320c are correlated to aging and regulate human cartilage metabolism. J. Orthop. Res. 2012;30(12):1915-1922. DOI 10.1002/jor.22157</mixed-citation><mixed-citation xml:lang="en">Ukai T., Sato M., Akutsu H., Umezawa A., Mochida J. MicroRNA-199a-3p, microRNA-193b, and microRNA-320c are correlated to aging and regulate human cartilage metabolism. J. Orthop. Res. 2012;30(12):1915-1922. DOI 10.1002/jor.22157</mixed-citation></citation-alternatives></ref><ref id="cit83"><label>83</label><citation-alternatives><mixed-citation xml:lang="ru">Van Meter M., Kashyap M., Rezazadeh S., Geneva A.J., Morello T.D., Seluanov A., Gorbunova V. SIRT6 represses LINE1 retrotransposons by ribosylating KAP1 but this repression fails with stress and age. Nat. Commun. 2014;5:5011. DOI 10.1038/ncomms6011</mixed-citation><mixed-citation xml:lang="en">Van Meter M., Kashyap M., Rezazadeh S., Geneva A.J., Morello T.D., Seluanov A., Gorbunova V. SIRT6 represses LINE1 retrotransposons by ribosylating KAP1 but this repression fails with stress and age. Nat. Commun. 2014;5:5011. DOI 10.1038/ncomms6011</mixed-citation></citation-alternatives></ref><ref id="cit84"><label>84</label><citation-alternatives><mixed-citation xml:lang="ru">Wang D., Fei Z., Wang H. MiR-335-5p inhibits β-amyloid (Aβ) accumulation to attenuate cognitive deficits through targeting c-junN-terminal kinase 3 in Alzheimer’s disease. Curr. Neurovasc. Res. 2020;17(1):93-101. DOI 10.2174/1567202617666200128141938</mixed-citation><mixed-citation xml:lang="en">Wang D., Fei Z., Wang H. MiR-335-5p inhibits β-amyloid (Aβ) accumulation to attenuate cognitive deficits through targeting c-junN-terminal kinase 3 in Alzheimer’s disease. Curr. Neurovasc. Res. 2020;17(1):93-101. DOI 10.2174/1567202617666200128141938</mixed-citation></citation-alternatives></ref><ref id="cit85"><label>85</label><citation-alternatives><mixed-citation xml:lang="ru">Watcharanurak P., Mutirangura A. Human RNA-directed DNA-methylation methylates high-mobility group box 1 protein-produced DNA gaps. Epigenomics. 2022;14(12):741-756. DOI 10.2217/epi-20220022</mixed-citation><mixed-citation xml:lang="en">Watcharanurak P., Mutirangura A. Human RNA-directed DNA-methylation methylates high-mobility group box 1 protein-produced DNA gaps. Epigenomics. 2022;14(12):741-756. DOI 10.2217/epi-20220022</mixed-citation></citation-alternatives></ref><ref id="cit86"><label>86</label><citation-alternatives><mixed-citation xml:lang="ru">Wei G., Qin S., Li W., Chen L., Ma F. MDTE DB: a database for microRNAs derived from Transposable element. IEEE/ACM Trans. Conflict of interest. The authors declare no conflict of interest. Comput. Biol. Bioinform. 2016;13:1155-1160. DOI 10.1109/TCBB.2015.2511767</mixed-citation><mixed-citation xml:lang="en">Wei G., Qin S., Li W., Chen L., Ma F. MDTE DB: a database for microRNAs derived from Transposable element. IEEE/ACM Trans. Conflict of interest. The authors declare no conflict of interest. Comput. Biol. Bioinform. 2016;13:1155-1160. DOI 10.1109/TCBB.2015.2511767</mixed-citation></citation-alternatives></ref><ref id="cit87"><label>87</label><citation-alternatives><mixed-citation xml:lang="ru">Wong N.W., Chen Y., Chen S., Wang X. OncomiR: and online resource for exploring pan-cancer microRNA dysregulation. Bioinformatics. 2018;34(4):713-715. DOI 10.1093/bioinformatics/btx627</mixed-citation><mixed-citation xml:lang="en">Wong N.W., Chen Y., Chen S., Wang X. OncomiR: and online resource for exploring pan-cancer microRNA dysregulation. Bioinformatics. 2018;34(4):713-715. DOI 10.1093/bioinformatics/btx627</mixed-citation></citation-alternatives></ref><ref id="cit88"><label>88</label><citation-alternatives><mixed-citation xml:lang="ru">Wood J.G., Helfand S.L. Chromatin structure and transposable elements in organismal aging. Front. Genet. 2013;4:274. DOI 10.3389/fgene.2013.00274</mixed-citation><mixed-citation xml:lang="en">Wood J.G., Helfand S.L. Chromatin structure and transposable elements in organismal aging. Front. Genet. 2013;4:274. DOI 10.3389/fgene.2013.00274</mixed-citation></citation-alternatives></ref><ref id="cit89"><label>89</label><citation-alternatives><mixed-citation xml:lang="ru">Xu X., Gu D., Xu B., Yang C., Wang L. Circular RNA circ_0005835 promotes neural stem cells proliferation and differentiate to neuron and inhibits inflammatory cytokines levels through miR-576-ep in Alz heimer’s disease. Environ. Sci. Pollut. Res. Int. 2022;29(24): 35934-35943. DOI 10.1007/s11356-021-17478-3</mixed-citation><mixed-citation xml:lang="en">Xu X., Gu D., Xu B., Yang C., Wang L. Circular RNA circ_0005835 promotes neural stem cells proliferation and differentiate to neuron and inhibits inflammatory cytokines levels through miR-576-ep in Alz heimer’s disease. Environ. Sci. Pollut. Res. Int. 2022;29(24): 35934-35943. DOI 10.1007/s11356-021-17478-3</mixed-citation></citation-alternatives></ref><ref id="cit90"><label>90</label><citation-alternatives><mixed-citation xml:lang="ru">Yurov Y.B., Vorsanova S.G., Iourov I.Y. FISHing for crhomosome instability and aneuploidy in the Alzheimer’s disease brain. Methods Mol. Biol. 2023;2561:191-204. DOI 10.1007/978-1-0716-2655-9_10</mixed-citation><mixed-citation xml:lang="en">Yurov Y.B., Vorsanova S.G., Iourov I.Y. FISHing for crhomosome instability and aneuploidy in the Alzheimer’s disease brain. Methods Mol. Biol. 2023;2561:191-204. DOI 10.1007/978-1-0716-2655-9_10</mixed-citation></citation-alternatives></ref><ref id="cit91"><label>91</label><citation-alternatives><mixed-citation xml:lang="ru">Zhang H., Yang H., Zhang C., Jing Y., Wang C., Liu C., Zhang R., Wang J., Zhang J., Zen K., Zhang C., Li D. Investigation of microRNA expression in human serum during the aging process. J. Gerontol. A Biol. Sci. Med. Sci. 2015;70(1):102-109. DOI 10.1093/Gerona/glu145</mixed-citation><mixed-citation xml:lang="en">Zhang H., Yang H., Zhang C., Jing Y., Wang C., Liu C., Zhang R., Wang J., Zhang J., Zen K., Zhang C., Li D. Investigation of microRNA expression in human serum during the aging process. J. Gerontol. A Biol. Sci. Med. Sci. 2015;70(1):102-109. DOI 10.1093/Gerona/glu145</mixed-citation></citation-alternatives></ref><ref id="cit92"><label>92</label><citation-alternatives><mixed-citation xml:lang="ru">Zhang T., Brinkley T.E., Liu K., Feng X., Marsh A.P., Kritchevsky S., Zhou X., Nicklas B.J. Circulating miRNAs as biomarkers of gait speed responses to aerobic exercise training in obese older adults. Aging (Albany N.Y.). 2017;9(3):900-913. DOI 10.18632/aging.101199</mixed-citation><mixed-citation xml:lang="en">Zhang T., Brinkley T.E., Liu K., Feng X., Marsh A.P., Kritchevsky S., Zhou X., Nicklas B.J. Circulating miRNAs as biomarkers of gait speed responses to aerobic exercise training in obese older adults. Aging (Albany N.Y.). 2017;9(3):900-913. DOI 10.18632/aging.101199</mixed-citation></citation-alternatives></ref><ref id="cit93"><label>93</label><citation-alternatives><mixed-citation xml:lang="ru">Zhao X., Wang S., Sun W. Expression of miR-28-3p in patients with Alzheimer’s disease before and after treatment and its clinical value. Exp. Ther. Med. 2020;20(3):2218-2226. DOI 10.3892/etm.2020.8920</mixed-citation><mixed-citation xml:lang="en">Zhao X., Wang S., Sun W. Expression of miR-28-3p in patients with Alzheimer’s disease before and after treatment and its clinical value. Exp. Ther. Med. 2020;20(3):2218-2226. DOI 10.3892/etm.2020.8920</mixed-citation></citation-alternatives></ref><ref id="cit94"><label>94</label><citation-alternatives><mixed-citation xml:lang="ru">Zheng D., Sabbagh J.J., Blair L.J., Darling A.L., Wen X., Dickey C.A. MicroRNA-511 binds to FKBP5 mRNA, which encodes a chaperone protein, and regulates neuronal differentiation. J. Biol. Chem. 2016;291(34):17897-17906. DOI 10.1074/jbc.M116.727941</mixed-citation><mixed-citation xml:lang="en">Zheng D., Sabbagh J.J., Blair L.J., Darling A.L., Wen X., Dickey C.A. MicroRNA-511 binds to FKBP5 mRNA, which encodes a chaperone protein, and regulates neuronal differentiation. J. Biol. Chem. 2016;291(34):17897-17906. DOI 10.1074/jbc.M116.727941</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
