<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.3 20210610//EN" "JATS-journalpublishing1-3.dtd">
<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="en"><front><journal-meta><journal-id journal-id-type="publisher-id">akusherstvo</journal-id><journal-title-group><journal-title xml:lang="en">Obstetrics, Gynecology and Reproduction</journal-title><trans-title-group xml:lang="ru"><trans-title>Акушерство, Гинекология и Репродукция</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2313-7347</issn><issn pub-type="epub">2500-3194</issn><publisher><publisher-name>IRBIS LLC</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.17749/2313-7347/ob.gyn.rep.2023.398</article-id><article-id custom-type="elpub" pub-id-type="custom">akusherstvo-1826</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="en"><subject>ОRIGINAL ARTICLES</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ОРИГИНАЛЬНЫЕ СТАТЬИ</subject></subj-group></article-categories><title-group><article-title>Identification of key miRNAs as regulatory biomarkers of gonadotropins leading to infertility in males</article-title><trans-title-group xml:lang="ru"><trans-title>Идентификация ключевых микроРНК как регуляторных биомаркеров гонадотропинов, приводящих к мужскому бесплодию</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>Охайед</surname><given-names>Н. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Oohayyed</surname><given-names>N. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Нур А. Охайед – ассистент кафедры медицинской биотехнологии Колледжа биотехнологии</p><p>Багдад 64074</p></bio><bio xml:lang="en"><p>Noor A. Oohayyed – Assistant Lecturer, Department of Medical Biotechnology, College of Biotechnology</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-4455-8674</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Мохаммед</surname><given-names>М. М.</given-names></name><name name-style="western" xml:lang="en"><surname>Mohammed</surname><given-names>M. M.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Маис М. Мохаммед – ассистент</p><p>Scopus Author ID: 57561562000</p><p>Багдад 64074</p></bio><bio xml:lang="en"><p>Mais M. Mohammed – Assistant Lecturer</p><p>Scopus Author ID: 57561562000</p></bio><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-7120-7960</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Аль-Рахим</surname><given-names>А. М.</given-names></name><name name-style="western" xml:lang="en"><surname>Al-Rahim</surname><given-names>A. M.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Ая М. Аль-Рахим – ассистент кафедры медицинской биотехнологии Колледжа биотехнологии</p><p>Scopus Author ID: 57226461520</p><p>Researcher ID: ACZ-6702-2022</p><p>Багдад 64074</p></bio><bio xml:lang="en"><p>Aya M. Al-Rahim – Assistant Lecturer, Department of Medical Biotechnology, College of Biotechnology</p><p>Scopus Author ID: 57226461520</p><p>Researcher ID: ACZ-6702-2022</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-1570-2537</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Аль Чалаби</surname><given-names>Р. Н.</given-names></name><name name-style="western" xml:lang="en"><surname>Al Chalabi</surname><given-names>R. N.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Раваа Н. Аль Чалаби – доктор наук, доцент кафедры медицинской биотехнологии Колледжа биотехнологии</p><p>Scopus Author ID: 57210340073</p><p>Researcher ID: ABD-7380-2020</p><p>Багдад 64074</p></bio><bio xml:lang="en"><p>Rawaa N. Al Chalabi – Assistant Professor, Dr, Department of Medical Biotechnology, College of Biotechnology</p><p>Scopus Author ID: 57210340073</p><p>Researcher ID: ABD-7380-2020</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-0538-8716</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Шабан</surname><given-names>С. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Shaban</surname><given-names>S. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Семаа А. Шабан – доктор наук, доцент кафедры биологии Колледжа наук</p><p>Scopus Author ID: 57223083825</p><p>Researcher ID: H-1150-2019</p><p>Тикрит, Саладин 34001</p></bio><bio xml:lang="en"><p>Semaa A. Shaban – PhD, Assistant Professor, Department of Biology, College of Sciences</p><p>Scopus Author ID: 57223083825</p><p>Researcher ID: H-1150-2019</p></bio><xref ref-type="aff" rid="aff-3"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-7427-4483</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Сулейман</surname><given-names>А. А. Дж.</given-names></name><name name-style="western" xml:lang="en"><surname>Suleiman</surname><given-names>A. A. J.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Ахмед А. Дж. Сулейман – доктор наук (биотехнология и молекулярная биология), профессор кафедры биотехнологии Колледжа наук</p><p>Scopus Author ID: 57200943508</p><p>Researcher ID: AAF-7727-2019</p><p>Эр-Рамади, Анбар 46006</p></bio><bio xml:lang="en"><p>Ahmed A. J. Suleiman – PhD in Biotechnology and Molecular Biology, Professor, Department of Biotechnology, College of Science</p><p>Scopus Author ID: 57200943508</p><p>Researcher ID: AAF-7727-2019</p></bio><email xlink:type="simple">ahmed.suleiman@uoanbar.edu.iq</email><xref ref-type="aff" rid="aff-4"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Университет Аль-Нахрейн</institution><country>Ирак</country></aff><aff xml:lang="en"><institution>Al-Nahrain University</institution><country>Iraq</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>Университет медицинских и фармацевтических наук Ибн Сины</institution><country>Ирак</country></aff><aff xml:lang="en"><institution>Ibn Sina University for Medical and Pharmaceutical Sciences</institution><country>Iraq</country></aff></aff-alternatives><aff-alternatives id="aff-3"><aff xml:lang="ru"><institution>Университет Тикрита</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Tikrit University</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-4"><aff xml:lang="ru"><institution>Анбарский университет</institution><country>Ирак</country></aff><aff xml:lang="en"><institution>University of Anbar</institution><country>Iraq</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2023</year></pub-date><pub-date pub-type="epub"><day>12</day><month>11</month><year>2023</year></pub-date><volume>17</volume><issue>5</issue><fpage>607</fpage><lpage>624</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Oohayyed N., Mohammed M., Al-Rahim A., Al Chalabi R., Shaban S.А., Suleiman A., 2023</copyright-statement><copyright-year>2023</copyright-year><copyright-holder xml:lang="ru">Охайед Н., Мохаммед М., Аль-Рахим А., Аль Чалаби Р., Шабан С.А., Сулейман А.</copyright-holder><copyright-holder xml:lang="en">Oohayyed N., Mohammed M., Al-Rahim A., Al Chalabi R., Shaban S., Suleiman A.</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://www.gynecology.su/jour/article/view/1826">https://www.gynecology.su/jour/article/view/1826</self-uri><abstract><sec><title>Introduction</title><p>Introduction. Infertility is a highly fatal reproductive system disorder that affects the ability of a couple to reproduce. Over the past decades, a drastic uplift has been recorded in infertility cases among males ranging from 20 to 70 % indicating spermatogenesis impairment.</p></sec><sec><title>Aim</title><p>Aim: to identify key microRNAs (miRNAs) as regulatory biomarkers of gonadotropins involved in dysregulation of fertility-related genes to propose potential therapeutic strategies that would combat the action of oncogenic miRNAs (oncomiRs).</p></sec><sec><title>Materials and Methods</title><p>Materials and Methods. Interaction analysis was performed between miRNAs and fertility-related genes namely luteinizing hormone choriogonadotropin receptor (LHCGR), gonadotropin-releasing hormone receptor (GnRHR), follicle-stimulating hormone receptor (FSHR) and cystic fibrosis transmembrane conductance regulator (CFTR) to identify key miRNAs as regulatory biomarkers of gonadotropins leading to infertility in males.</p></sec><sec><title>Results</title><p>Results. A total of 10, 13, 31 and 18 strong and potential binding sites were predicted for miRNAs-LHCGR, miRNAs-GnRHR, miRNAs-FSHR, and miRNAs-CFTR respectively employing miRWalk (comprehensive genetic database including miRNA targets) followed by identification of 6, 18, 55 and 17 significant interactions through RNA22. Subsequently shortlisted miRNAs and messenger RNA (mRNA) regions were subjected to Vfold-Pipeline and RNAComposer individually for 3D structure prediction. Additionally molecular docking was carried out between miRNAs and mRNAs models that discovered potential and stable interactions elucidating miR-6880-FSHR(R2) as a highly stable complex with least binding affinity (-566.3) and high confidence score (0.999).</p></sec><sec><title>Conclusion</title><p>Conclusion. Hence this study proposes key oncomiRs as a diagnostic biomarker and therapeutic target to bring about a promising treatment strategy against male factor infertility. However wet lab investigations are required for further validations of proposed study.</p></sec></abstract><trans-abstract xml:lang="ru"><sec><title>Введение</title><p>Введение. Бесплодие – это крайне фатальное заболевание репродуктивной системы, которое определяет неспособность пары к воспроизведению потомства. За последние десятилетия зафиксирован резкий рост случаев бесплодия среди мужчин, составляющий от 20 до 70 %, что свидетельствует о нарушении сперматогенеза.</p></sec><sec><title>Цель</title><p>Цель: идентифицировать ключевые микроРНК в качестве регуляторных биомаркеров гонадотропинов, участвующих в нарушении регуляции генов, связанных с фертильностью, для определения потенциальных терапевтических стратегий по противодействию онкогенным микроРНК.</p></sec><sec><title>Материалы и методы</title><p>Материалы и методы. Проведен анализ взаимодействия между микроРНК и генами, связанными с фертильностью, такими как ген рецептора лютеинизирующего гормона/хориогонадотропина (англ. luteinizing hormone choriogonadotropin receptor, LHCGR), рецептора гонадотропин-рилизинг-гормона (англ. gonadotropin-releasing hormone receptor, GnRHR), рецептора фолликулостимулирующего гормона (англ. follicle-stimulating hormone receptor, FSHR) и регулятора трансмембранной проводимости при муковисцидозе (англ. cystic fibrosis transmembrane conductance regulator, CFTR), для идентификации ключевых микроРНК как регуляторных биомаркеров гонадотропинов, приводящие к мужскому бесплодию.</p></sec><sec><title>Результаты</title><p>Результаты. Применение базы данных miRWalk (полная генетическая база данных, включающая в себя мишени для микроРНК) позволило предсказать в общей сложности 10, 13, 31 и 18 сильных и потенциальных сайтов связывания в парах микроРНК-LHCGR, микроРНК-GnRHR, микроРНК-FSHR и микроРНК-CFTR соответственно с последующим выявлением 6, 18, 55 и 17 значимых взаимодействий посредством алгоритма РНК22. Впоследствии включенные в окончательный список микроРНК и области матричной РНК (мРНК) были попарно проанализированы с использованием программ Vfold-Pipeline и RNAComposer для прогнозирования трехмерной структуры. Кроме того, был проведен молекулярный докинганализ между моделями микроРНК и мРНК, которые показали потенциальные и стабильные взаимодействия, и выявлен высокостабильный комплекс miR-6880-FSHR(R2) с наименьшей аффинностью связывания (-566,3) и высоким показателем достоверности (0,999).</p></sec><sec><title>Заключение</title><p>Заключение. В настоящем исследовании предложены ключевые онкомикроРНК («oncomiRs») в качестве диагностического биомаркера и терапевтической мишени для разработки многообещающей стратегии лечения мужского бесплодия. Однако для дальнейшей проверки результатов данной работы необходимо проведение практических лабораторных исследований.</p></sec></trans-abstract><kwd-group xml:lang="ru"><kwd>гонадотропин</kwd><kwd>азооспермия</kwd><kwd>биомаркер бесплодия</kwd><kwd>рецептор лютеинизирующего гормона/хориогонадотропина</kwd><kwd>LHCGR</kwd><kwd>рецептор гонадотропин-рилизинг-гормона</kwd><kwd>GnRHR</kwd><kwd>рецептор фолликулостимулирующего гормона</kwd><kwd>FSHR</kwd></kwd-group><kwd-group xml:lang="en"><kwd>gonadotropin</kwd><kwd>azoospermia</kwd><kwd>infertility biomarker</kwd><kwd>luteinizing hormone choriogonadotropin receptor</kwd><kwd>LHCGR</kwd><kwd>gonadotropin-releasing hormone receptor</kwd><kwd>GnRHR</kwd><kwd>follicle-stimulating hormone receptor</kwd><kwd>FSHR</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">Babakhanzadeh E., Nazari M., Ghasemifar S., Khodadadian A. Some of the factors involved in male infertility: a prospective review. Int J Gen Med. 2020;13:29–41. https://doi.org/10.2147/IJGM.S241099.</mixed-citation><mixed-citation xml:lang="en">Babakhanzadeh E., Nazari M., Ghasemifar S., Khodadadian A. Some of the factors involved in male infertility: a prospective review. Int J Gen Med. 2020;13:29–41. https://doi.org/10.2147/IJGM.S241099.</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Hanson B.M., Eisenberg M.L., Hotaling J.M. Male infertility: a biomarker of individual and familial cancer risk. Fertil Steril. 2018;109(1):6–19. https://doi.org/10.1016/j.fertnstert.2017.11.005.</mixed-citation><mixed-citation xml:lang="en">Hanson B.M., Eisenberg M.L., Hotaling J.M. Male infertility: a biomarker of individual and familial cancer risk. Fertil Steril. 2018;109(1):6–19. https://doi.org/10.1016/j.fertnstert.2017.11.005.</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Okonofua F.E., Ntoimo L.F.C., Omonkhua A. et al. Causes and risk factors for male infertility: a scoping review of published studies. Int J Gen Med. 2022;15:5985–97. https://doi.org/10.2147/IJGM.S363959.</mixed-citation><mixed-citation xml:lang="en">Okonofua F.E., Ntoimo L.F.C., Omonkhua A. et al. Causes and risk factors for male infertility: a scoping review of published studies. Int J Gen Med. 2022;15:5985–97. https://doi.org/10.2147/IJGM.S363959.</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">White W.M., Mobley J.D., Kim E.D. Varicocele: Practice Essentials, History of the Procedure, Problem. Medscape, 2023. Available at: https://emedicine.medscape.com/article/438591-overview.</mixed-citation><mixed-citation xml:lang="en">White W.M., Mobley J.D., Kim E.D. Varicocele: Practice Essentials, History of the Procedure, Problem. Medscape, 2023. Available at: https://emedicine.medscape.com/article/438591-overview.</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Carson S.A., Kallen A.N. Diagnosis and management of infertility. JAMA. 2021;326(1):65–76. https://doi.org/10.1001/jama.2021.4788.</mixed-citation><mixed-citation xml:lang="en">Carson S.A., Kallen A.N. Diagnosis and management of infertility. JAMA. 2021;326(1):65–76. https://doi.org/10.1001/jama.2021.4788.</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Sudhakar D.V.S., Shah R., Gajbhiye R.K. Genetics of male infertility – present and future: A narrative review. J Hum Reprod Sci. 2021;14(3):217–27. https://doi.org/10.4103/jhrs.jhrs_115_21.</mixed-citation><mixed-citation xml:lang="en">Sudhakar D.V.S., Shah R., Gajbhiye R.K. Genetics of male infertility – present and future: A narrative review. J Hum Reprod Sci. 2021;14(3):217–27. https://doi.org/10.4103/jhrs.jhrs_115_21.</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Colaco S., Modi D. Genetics of the human Y chromosome and its association with male infertility. Reprod Biol Endocrinol. 2018;16(1):14. https://doi.org/10.1186/s12958-018-0330-5.</mixed-citation><mixed-citation xml:lang="en">Colaco S., Modi D. Genetics of the human Y chromosome and its association with male infertility. Reprod Biol Endocrinol. 2018;16(1):14. https://doi.org/10.1186/s12958-018-0330-5.</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Wong R., Gu K., Ko Y., Patel P. Congenital absence of the vas deferens: cystic fibrosis transmembrane regulatory gene mutations. Best Pract Res Clin Endocrinol Metab. 2020;34(6):101476. https://doi.org/10.1016/j.beem.2020.101476.</mixed-citation><mixed-citation xml:lang="en">Wong R., Gu K., Ko Y., Patel P. Congenital absence of the vas deferens: cystic fibrosis transmembrane regulatory gene mutations. Best Pract Res Clin Endocrinol Metab. 2020;34(6):101476. https://doi.org/10.1016/j.beem.2020.101476.</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Silva M.S.B., Giacobini P. New insights into anti-Müllerian hormone role in the hypothalamic–pituitary–gonadal axis and neuroendocrine development. Cell Mol Life Sci. 2021;78(1):1–16. https://doi.org/10.1007/s00018-020-03576-x.</mixed-citation><mixed-citation xml:lang="en">Silva M.S.B., Giacobini P. New insights into anti-Müllerian hormone role in the hypothalamic–pituitary–gonadal axis and neuroendocrine development. Cell Mol Life Sci. 2021;78(1):1–16. https://doi.org/10.1007/s00018-020-03576-x.</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Kaiser U.B., Sabbagh E., Katzenellenbogen R.A. et al. A mechanism for the differential regulation of gonadotropin subunit gene expression by gonadotropin-releasing hormone. Proc Natl Acad Sci U S A. 1995;92(26):12280–4. https://doi.org/10.1073/pnas.92.26.12280.</mixed-citation><mixed-citation xml:lang="en">Kaiser U.B., Sabbagh E., Katzenellenbogen R.A. et al. A mechanism for the differential regulation of gonadotropin subunit gene expression by gonadotropin-releasing hormone. Proc Natl Acad Sci U S A. 1995;92(26):12280–4. https://doi.org/10.1073/pnas.92.26.12280.</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Plunk E.C., Richards S.M. Endocrine-disrupting air pollutants and their effects on the hypothalamus-pituitary-gonadal axis. Int J Mol Sci. 2020;21(23):9191. https://doi.org/10.3390/ijms21239191.</mixed-citation><mixed-citation xml:lang="en">Plunk E.C., Richards S.M. Endocrine-disrupting air pollutants and their effects on the hypothalamus-pituitary-gonadal axis. Int J Mol Sci. 2020;21(23):9191. https://doi.org/10.3390/ijms21239191.</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Fink J., Schoenfeld B.J., Hackney A.C. et al. Human chorionic gonadotropin treatment: a viable option for management of secondary hypogonadism and male infertility. Expert Rev Endocrinol Metab. 2021;16(1):1–8. https://doi.org/10.1080/17446651.2021.1863783.</mixed-citation><mixed-citation xml:lang="en">Fink J., Schoenfeld B.J., Hackney A.C. et al. Human chorionic gonadotropin treatment: a viable option for management of secondary hypogonadism and male infertility. Expert Rev Endocrinol Metab. 2021;16(1):1–8. https://doi.org/10.1080/17446651.2021.1863783.</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Cangiano B., Swee D.S., Quinton R., Bonomi M. Genetics of congenital hypogonadotropic hypogonadism: peculiarities and phenotype of an oligogenic disease. Hum Genet. 2021:140:(1):77–111. https://doi.org/10.1007/s00439-020-02147-1.</mixed-citation><mixed-citation xml:lang="en">Cangiano B., Swee D.S., Quinton R., Bonomi M. Genetics of congenital hypogonadotropic hypogonadism: peculiarities and phenotype of an oligogenic disease. Hum Genet. 2021:140:(1):77–111. https://doi.org/10.1007/s00439-020-02147-1.</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Yao Q., Chen Y., Zhou X. The roles of microRNAs in epigenetic regulation. Curr Opin Chem Biol. 2019;51:11–7. https://doi.org/10.1016/j.cbpa.2019.01.024.</mixed-citation><mixed-citation xml:lang="en">Yao Q., Chen Y., Zhou X. The roles of microRNAs in epigenetic regulation. Curr Opin Chem Biol. 2019;51:11–7. https://doi.org/10.1016/j.cbpa.2019.01.024.</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Di Palo A., Siniscalchi C., Salerno M. et al. What microRNAs could tell us about the human X chromosome. Cell Mol Life Sci. 2020;77(20):4069–80. https://doi.org/10.1007/s00018-020-03526-7.</mixed-citation><mixed-citation xml:lang="en">Di Palo A., Siniscalchi C., Salerno M. et al. What microRNAs could tell us about the human X chromosome. Cell Mol Life Sci. 2020;77(20):4069–80. https://doi.org/10.1007/s00018-020-03526-7.</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">Batool A., Liu X.-M., Zhang C.-L. et al. Recent advances in the regulation of testicular germ cell tumors by microRNAs. Front Biosci (Landmark Ed). 2019:24(4):765–76. https://doi.org/10.2741/4749.</mixed-citation><mixed-citation xml:lang="en">Batool A., Liu X.-M., Zhang C.-L. et al. Recent advances in the regulation of testicular germ cell tumors by microRNAs. Front Biosci (Landmark Ed). 2019:24(4):765–76. https://doi.org/10.2741/4749.</mixed-citation></citation-alternatives></ref><ref id="cit17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">Munawar M., Liaqat I., Ali S. et al. MicroRNAs and male infertility. In: Recent Advances in Noncoding RNAs. Ed. L. Tutar. IntechOpen, 2022. https://doi.org/10.5772/intechopen.106757. Available at: https://www.intechopen.com/chapters/83297.</mixed-citation><mixed-citation xml:lang="en">Munawar M., Liaqat I., Ali S. et al. MicroRNAs and male infertility. In: Recent Advances in Noncoding RNAs. Ed. L. Tutar. IntechOpen, 2022. https://doi.org/10.5772/intechopen.106757. Available at: https://www.intechopen.com/chapters/83297.</mixed-citation></citation-alternatives></ref><ref id="cit18"><label>18</label><citation-alternatives><mixed-citation xml:lang="ru">Casteel C., Singh G. Physiology, gonadotropin-releasing hormone. StatPearls, 2022. Available at: https://www.ncbi.nlm.nih.gov/books/NBK558992/.</mixed-citation><mixed-citation xml:lang="en">Casteel C., Singh G. Physiology, gonadotropin-releasing hormone. StatPearls, 2022. Available at: https://www.ncbi.nlm.nih.gov/books/NBK558992/.</mixed-citation></citation-alternatives></ref><ref id="cit19"><label>19</label><citation-alternatives><mixed-citation xml:lang="ru">Haldar S., Agrawal H., Saha S. et al.Overview of follicle stimulating hormone and its receptors in reproduction and in stem cells and cancer stem cells. Int J Biol Sci. 2022;18(2):675–92. https://doi.org/10.7150/ijbs.63721.</mixed-citation><mixed-citation xml:lang="en">Haldar S., Agrawal H., Saha S. et al.Overview of follicle stimulating hormone and its receptors in reproduction and in stem cells and cancer stem cells. Int J Biol Sci. 2022;18(2):675–92. https://doi.org/10.7150/ ijbs.63721.</mixed-citation></citation-alternatives></ref><ref id="cit20"><label>20</label><citation-alternatives><mixed-citation xml:lang="ru">Mann O.N., Kong C.-S., Lucas E.S. et al. Expression and function of the luteinizing hormone choriogonadotropin receptor in human endometrial stromal cells. Sci Rep. 2022;12(1):8624. https://doi.org/10.1038/s41598-022-12495-9.</mixed-citation><mixed-citation xml:lang="en">Mann O.N., Kong C.-S., Lucas E.S. et al. Expression and function of the luteinizing hormone choriogonadotropin receptor in human endometrial stromal cells. Sci Rep. 2022;12(1):8624. https://doi.org/10.1038/s41598-022-12495-9.</mixed-citation></citation-alternatives></ref><ref id="cit21"><label>21</label><citation-alternatives><mixed-citation xml:lang="ru">Hanssens L.S., Duchateau J., Casimir G.J. CFTR protein: not just a chloride channel? Cells. 2021;10(11):2844. https://doi.org/10.3390/cells10112844.</mixed-citation><mixed-citation xml:lang="en">Hanssens L.S., Duchateau J., Casimir G.J. CFTR protein: not just a chloride channel? Cells. 2021;10(11):2844. https://doi.org/10.3390/ cells10112844.</mixed-citation></citation-alternatives></ref><ref id="cit22"><label>22</label><citation-alternatives><mixed-citation xml:lang="ru">Cioppi F., Rosta V., Krausz C. Genetics of azoospermia. Int J Mol Sci. 2021;22(6):3264. https://doi.org/10.3390/ijms22063264.</mixed-citation><mixed-citation xml:lang="en">Cioppi F., Rosta V., Krausz C. Genetics of azoospermia. Int J Mol Sci. 2021;22(6):3264. https://doi.org/10.3390/ijms22063264.</mixed-citation></citation-alternatives></ref><ref id="cit23"><label>23</label><citation-alternatives><mixed-citation xml:lang="ru">Sticht C., Torre C.D.L., Parveen A., Gretz N. miRWalk: an online resource for prediction of microRNA binding sites. PLoS One. 2018;13(10):e0206239. https://doi.org/10.1371/journal.pone.0206239.</mixed-citation><mixed-citation xml:lang="en">Sticht C., Torre C.D.L., Parveen A., Gretz N. miRWalk: an online resource for prediction of microRNA binding sites. PLoS One. 2018;13(10):e0206239. https://doi.org/10.1371/journal.pone.0206239.</mixed-citation></citation-alternatives></ref><ref id="cit24"><label>24</label><citation-alternatives><mixed-citation xml:lang="ru">Li D., Knox B., Gong B. et al. Identification of translational microRNA biomarker candidates for ketoconazole-induced liver injury using nextgeneration sequencing. Toxicol Sci. 2021;179(1):31–43. https://doi.org/10.1093/toxsci/kfaa162.</mixed-citation><mixed-citation xml:lang="en">Li D., Knox B., Gong B. et al. Identification of translational microRNA biomarker candidates for ketoconazole-induced liver injury using nextgeneration sequencing. Toxicol Sci. 2021;179(1):31–43. https://doi.org/10.1093/toxsci/kfaa162.</mixed-citation></citation-alternatives></ref><ref id="cit25"><label>25</label><citation-alternatives><mixed-citation xml:lang="ru">Barreau C., Paillard L., Osborne H.B. AU-rich elements and associated factors: are there unifying principles? Nucleic Acids Res. 2005;33(22):7138–50. https://doi.org/10.1093/nar/gki1012.</mixed-citation><mixed-citation xml:lang="en">Barreau C., Paillard L., Osborne H.B. AU-rich elements and associated factors: are there unifying principles? Nucleic Acids Res. 2005;33(22):7138–50. https://doi.org/10.1093/nar/gki1012.</mixed-citation></citation-alternatives></ref><ref id="cit26"><label>26</label><citation-alternatives><mixed-citation xml:lang="ru">Loher P., Rigoutsos I. Interactive exploration of RNA22 microRNA target predictions. Bioinformatics. 2012;28(24):3322–3. https://doi.org/10.1093/bioinformatics/bts615.</mixed-citation><mixed-citation xml:lang="en">Loher P., Rigoutsos I. Interactive exploration of RNA22 microRNA target predictions. Bioinformatics. 2012;28(24):3322–3. https://doi.org/10.1093/ bioinformatics/bts615.</mixed-citation></citation-alternatives></ref><ref id="cit27"><label>27</label><citation-alternatives><mixed-citation xml:lang="ru">Brown G.R., Hem V., Katz K.S. et al. Gene: a gene-centered information resource at NCBI. Nucleic Acids Res. 2015;43(Database issie):D36–42. https://doi.org/10.1093/nar/gku1055.</mixed-citation><mixed-citation xml:lang="en">Brown G.R., Hem V., Katz K.S. et al. Gene: a gene-centered information resource at NCBI. Nucleic Acids Res. 2015;43(Database issie):D36–42. https://doi.org/10.1093/nar/gku1055.</mixed-citation></citation-alternatives></ref><ref id="cit28"><label>28</label><citation-alternatives><mixed-citation xml:lang="ru">Kozomara A., Birgaoanu M., Griffiths-Jones S. miRBase: from microRNA sequences to function. Nucleic Acids Res. 2019;47(D1):D155–D162. https://doi.org/10.1093/nar/gky1141.</mixed-citation><mixed-citation xml:lang="en">Kozomara A., Birgaoanu M., Griffiths-Jones S. miRBase: from microRNA sequences to function. Nucleic Acids Res. 2019;47(D1):D155–D162. https://doi.org/10.1093/nar/gky1141.</mixed-citation></citation-alternatives></ref><ref id="cit29"><label>29</label><citation-alternatives><mixed-citation xml:lang="ru">Biesiada M., Purzycka K.J., Szachniuk M. et al. Automated RNA 3D structure prediction with RNAComposer. Methods Mol Biol. 2016;1490:199–215. https://doi.org/10.1007/978-1-4939-6433-8_13.</mixed-citation><mixed-citation xml:lang="en">Biesiada M., Purzycka K.J., Szachniuk M. et al. Automated RNA 3D structure prediction with RNAComposer. Methods Mol Biol. 2016;1490:199–215. https://doi.org/10.1007/978-1-4939-6433-8_13.</mixed-citation></citation-alternatives></ref><ref id="cit30"><label>30</label><citation-alternatives><mixed-citation xml:lang="ru">Li J., Zhang S., Zhang D., Chen S.-J. Vfold-Pipeline: a web server for RNA 3D structure prediction from sequences. Bioinformatics. 2022;38(16):4042–3. https://doi.org/10.1093/bioinformatics/btac426.</mixed-citation><mixed-citation xml:lang="en">Li J., Zhang S., Zhang D., Chen S.-J. Vfold-Pipeline: a web server for RNA 3D structure prediction from sequences. Bioinformatics. 2022;38(16):4042–3. https://doi.org/10.1093/bioinformatics/btac426.</mixed-citation></citation-alternatives></ref><ref id="cit31"><label>31</label><citation-alternatives><mixed-citation xml:lang="ru">Yan Y., Zhang D., Zhou P.et al. HDOCK: A web server for protein–protein and protein–DNA/RNA docking based on a hybrid strategy. Nucleic Acids Res. 2017;45(W1):W365–W373. https://doi.org/10.1093/nar/gkx407.</mixed-citation><mixed-citation xml:lang="en">Yan Y., Zhang D., Zhou P.et al. HDOCK: A web server for protein–protein and protein–DNA/RNA docking based on a hybrid strategy. Nucleic Acids Res. 2017;45(W1):W365–W373. https://doi.org/10.1093/nar/gkx407.</mixed-citation></citation-alternatives></ref><ref id="cit32"><label>32</label><citation-alternatives><mixed-citation xml:lang="ru">Li H., Huang E., Zhang Y. et al. HDOCK update for modeling protein-RNA/ DNA complex structures. Protein Science. 2022;31(11):e4441. https://doi.org/10.1002/pro.4441.</mixed-citation><mixed-citation xml:lang="en">Li H., Huang E., Zhang Y. et al. HDOCK update for modeling protein-RNA/ DNA complex structures. Protein Science. 2022;31(11):e4441. https://doi.org/10.1002/pro.4441.</mixed-citation></citation-alternatives></ref><ref id="cit33"><label>33</label><citation-alternatives><mixed-citation xml:lang="ru">Yuan S., Chan H.C.S., Hu Z. Using PyMOL as a platform for computational drug design. WIREs Comput Mol Sci. 2017;7(2):e1298. https://doi.org/10.1002/wcms.1298.</mixed-citation><mixed-citation xml:lang="en">Yuan S., Chan H.C.S., Hu Z. Using PyMOL as a platform for computational drug design. WIREs Comput Mol Sci. 2017;7(2):e1298. https://doi.org/10.1002/wcms.1298.</mixed-citation></citation-alternatives></ref><ref id="cit34"><label>34</label><citation-alternatives><mixed-citation xml:lang="ru">Agarwal A., Baskaran S., Parekh N. et al. Male infertility. Lancet. 2021;397(10271):319–33. https://doi.org/10.1016/S0140-6736(20)32667-2.</mixed-citation><mixed-citation xml:lang="en">Agarwal A., Baskaran S., Parekh N. et al. Male infertility. Lancet. 2021;397(10271):319–33. https://doi.org/10.1016/S0140-6736(20)32667-2.</mixed-citation></citation-alternatives></ref><ref id="cit35"><label>35</label><citation-alternatives><mixed-citation xml:lang="ru">Agarwal A., Finelli R., Selvam M.K.P. et al. A global survey of reproductive specialists to determine the clinical utility of oxidative stress testing and antioxidant use in male infertility. World J Mens Health, 2021;39(3):470– 88. https://doi.org/10.5534/wjmh.210025.</mixed-citation><mixed-citation xml:lang="en">Agarwal A., Finelli R., Selvam M.K.P. et al. A global survey of reproductive specialists to determine the clinical utility of oxidative stress testing and antioxidant use in male infertility. World J Mens Health, 2021;39(3):470– 88. https://doi.org/10.5534/wjmh.210025.</mixed-citation></citation-alternatives></ref><ref id="cit36"><label>36</label><citation-alternatives><mixed-citation xml:lang="ru">Jafarinejad-Farsangi S., Jazi M.M., Rostamzadeh F., Hadizadeh M. High affinity of host human microRNAs to SARS-CoV-2 genome: an in silico analysis. Noncoding RNA Res. 2020;5(4):222–31. https://doi.org/10.1016/j.ncrna.2020.11.005.</mixed-citation><mixed-citation xml:lang="en">Jafarinejad-Farsangi S., Jazi M.M., Rostamzadeh F., Hadizadeh M. High affinity of host human microRNAs to SARS-CoV-2 genome: an in silico analysis. Noncoding RNA Res. 2020;5(4):222–31. https://doi.org/10.1016/j.ncrna.2020.11.005.</mixed-citation></citation-alternatives></ref><ref id="cit37"><label>37</label><citation-alternatives><mixed-citation xml:lang="ru">Mukherjee M., Goswami S. Global cataloguing of variations in untranslated regions of viral genome and prediction of key host RNA binding proteinmicroRNA interactions modulating genome stability in SARS-CoV-2. PLoS One. 2020;15(8):e0237559. https://doi.org/10.1371/journal.pone.0237559.</mixed-citation><mixed-citation xml:lang="en">Mukherjee M., Goswami S. Global cataloguing of variations in untranslated regions of viral genome and prediction of key host RNA binding proteinmicroRNA interactions modulating genome stability in SARS-CoV-2. PLoS One. 2020;15(8):e0237559. https://doi.org/10.1371/journal.pone.0237559.</mixed-citation></citation-alternatives></ref><ref id="cit38"><label>38</label><citation-alternatives><mixed-citation xml:lang="ru">Aita A., Millino C., Sperti C. et al. Serum miRNA profiling for early PDAC diagnosis and prognosis: a retrospective study. Biomedicines. 2021;9(7):845. https://doi.org/10.3390/biomedicines9070845.</mixed-citation><mixed-citation xml:lang="en">Aita A., Millino C., Sperti C. et al. Serum miRNA profiling for early PDAC diagnosis and prognosis: a retrospective study. Biomedicines. 2021;9(7):845. https://doi.org/10.3390/biomedicines9070845.</mixed-citation></citation-alternatives></ref><ref id="cit39"><label>39</label><citation-alternatives><mixed-citation xml:lang="ru">Nagirnaja L., Aston K., Conrad D. The genetic intersection of male infertility and cancer. Fertil Steril. 2018;109(1):20–6. https://doi.org/10.1016/j.fertnstert.2017.10.028.</mixed-citation><mixed-citation xml:lang="en">Nagirnaja L., Aston K., Conrad D. The genetic intersection of male infertility and cancer. Fertil Steril. 2018;109(1):20–6. https://doi.org/10.1016/j.fertnstert.2017.10.028.</mixed-citation></citation-alternatives></ref><ref id="cit40"><label>40</label><citation-alternatives><mixed-citation xml:lang="ru">Swerdlow A.J., Bruce C., Cooke R. et al. Infertility and risk of breast cancer in men: a national case–control study in England and Wales. Breast Cancer Res. 2022;24(1):29. https://doi.org/10.1186/s13058-022-01517-z.</mixed-citation><mixed-citation xml:lang="en">Swerdlow A.J., Bruce C., Cooke R. et al. Infertility and risk of breast cancer in men: a national case–control study in England and Wales. Breast Cancer Res. 2022;24(1):29. https://doi.org/10.1186/s13058-022-01517-z.</mixed-citation></citation-alternatives></ref><ref id="cit41"><label>41</label><citation-alternatives><mixed-citation xml:lang="ru">Nam Y., Kang K. M., Sung S.R. et al. The association of stromal antigen 3 (STAG3) sequence variations with spermatogenic impairment in the male Korean population. Asian J Androl. 2020;22(1):106–11. https://doi.org/10.4103/aja.aja_28_19.</mixed-citation><mixed-citation xml:lang="en">Nam Y., Kang K. M., Sung S.R. et al. The association of stromal antigen 3 (STAG3) sequence variations with spermatogenic impairment in the male Korean population. Asian J Androl. 2020;22(1):106–11. https://doi.org/10.4103/aja.aja_28_19.</mixed-citation></citation-alternatives></ref><ref id="cit42"><label>42</label><citation-alternatives><mixed-citation xml:lang="ru">Zhou F., Lei Y., Xu X. LINC00355:8 promotes cell proliferation and migration with invasion via the MiR-6777-3p/Wnt10b axis in Hepatocellular Carcinoma. J Cancer. 2020;11(19):5641–55. https://doi.org/10.7150/jca.43831.</mixed-citation><mixed-citation xml:lang="en">Zhou F., Lei Y., Xu X. LINC00355:8 promotes cell proliferation and migration with invasion via the MiR-6777-3p/Wnt10b axis in Hepatocellular Carcinoma. J Cancer. 2020;11(19):5641–55. https://doi.org/10.7150/jca.43831.</mixed-citation></citation-alternatives></ref><ref id="cit43"><label>43</label><citation-alternatives><mixed-citation xml:lang="ru">Bizzarri A.R., Cannistraro S. Investigation of a direct interaction between miR4749 and the tumor suppressor p53 by fluorescence, FRET and molecular modeling. Biomolecules. 2020;10(2):346. https://doi.org/10.3390/biom10020346.</mixed-citation><mixed-citation xml:lang="en">Bizzarri A.R., Cannistraro S. Investigation of a direct interaction between miR4749 and the tumor suppressor p53 by fluorescence, FRET and molecular modeling. Biomolecules. 2020;10(2):346. https://doi.org/10.3390/biom10020346.</mixed-citation></citation-alternatives></ref><ref id="cit44"><label>44</label><citation-alternatives><mixed-citation xml:lang="ru">Chen Z., Wei J., Li M., Zhao Y. A circular RNAs dataset landscape reveals potential signatures for the detection and prognosis of early-stage lung adenocarcinoma. BMC Cancer. 2021:21(1):781. https://doi.org/10.1186/s12885-021-08293-7.</mixed-citation><mixed-citation xml:lang="en">Chen Z., Wei J., Li M., Zhao Y. A circular RNAs dataset landscape reveals potential signatures for the detection and prognosis of early-stage lung adenocarcinoma. BMC Cancer. 2021:21(1):781. https://doi.org/10.1186/s12885-021-08293-7.</mixed-citation></citation-alternatives></ref><ref id="cit45"><label>45</label><citation-alternatives><mixed-citation xml:lang="ru">Kamiński P., Baszyński J., Jerzak I. et al. External and genetic conditions determining male infertility. Int J Mol Sci. 2020;21(15):5274. https://doi.org/10.3390/ijms21155274.</mixed-citation><mixed-citation xml:lang="en">Kamiński P., Baszyński J., Jerzak I. et al. External and genetic conditions determining male infertility. Int J Mol Sci. 2020;21(15):5274. https://doi.org/10.3390/ijms21155274.</mixed-citation></citation-alternatives></ref><ref id="cit46"><label>46</label><citation-alternatives><mixed-citation xml:lang="ru">Yoshizawa N., Sugimoto K., Tameda M. et al. MiR-3940-5p/miR-8069 ratio in urine exosomes is a novel diagnostic biomarker for pancreatic ductal adenocarcinoma. Oncol Lett. 2020;19(4);2677–84. https://doi.org/10.3892/ol.2020.11357.</mixed-citation><mixed-citation xml:lang="en">Yoshizawa N., Sugimoto K., Tameda M. et al. MiR-3940-5p/miR-8069 ratio in urine exosomes is a novel diagnostic biomarker for pancreatic ductal adenocarcinoma. Oncol Lett. 2020;19(4);2677–84. https://doi.org/10.3892/ol.2020.11357.</mixed-citation></citation-alternatives></ref><ref id="cit47"><label>47</label><citation-alternatives><mixed-citation xml:lang="ru">Reza A.M.M.T., Choi Y.-J., Han S.G. et al. Roles of microRNAs in mammalian reproduction: From the commitment of germ cells to periimplantation embryos. Biol Rev Camb Philos Soc. 2019;94(2);415–38. https://doi.org/10.1111/brv.12459.</mixed-citation><mixed-citation xml:lang="en">Reza A.M.M.T., Choi Y.-J., Han S.G. et al. Roles of microRNAs in mammalian reproduction: From the commitment of germ cells to periimplantation embryos. Biol Rev Camb Philos Soc. 2019;94(2);415–38. https://doi.org/10.1111/brv.12459.</mixed-citation></citation-alternatives></ref><ref id="cit48"><label>48</label><citation-alternatives><mixed-citation xml:lang="ru">Abu-Halima M., Hammadeh M., Schmitt J. et al. Altered microRNA expression profilesof human spermatozoa inpatients with different spermatogenic impairments. Fertil Steril. 2013;99(5):1249–55.e16. https://doi.org/10.1016/j.fertnstert.2012.11.054.</mixed-citation><mixed-citation xml:lang="en">Abu-Halima M., Hammadeh M., Schmitt J. et al. Altered microRNA expression profilesof human spermatozoa inpatients with different spermatogenic impairments. Fertil Steril. 2013;99(5):1249–55.e16. https://doi.org/10.1016/j.fertnstert.2012.11.054.</mixed-citation></citation-alternatives></ref><ref id="cit49"><label>49</label><citation-alternatives><mixed-citation xml:lang="ru">Alves M.B.R., Celeghini E.C.C., Belleannée C. From sperm motility to sperm-borne microRNA signatures: new approaches to predict male fertility potential. Front Cell Dev Biol. 2020;8:791. https://doi.org/10.3389/fcell.2020.00791.</mixed-citation><mixed-citation xml:lang="en">Alves M.B.R., Celeghini E.C.C., Belleannée C. From sperm motility to sperm-borne microRNA signatures: new approaches to predict male fertility potential. Front Cell Dev Biol. 2020;8:791. https://doi.org/10.3389/ fcell.2020.00791.</mixed-citation></citation-alternatives></ref><ref id="cit50"><label>50</label><citation-alternatives><mixed-citation xml:lang="ru">Tomic M., Bolha L., Pizem J. et al. Association between sperm morphology and altered sperm microRNA expression. Biology (Basel). 2022;11(11):1671. https://doi.org/10.3390/biology11111671.</mixed-citation><mixed-citation xml:lang="en">Tomic M., Bolha L., Pizem J. et al. Association between sperm morphology and altered sperm microRNA expression. Biology (Basel). 2022;11(11):1671. https://doi.org/10.3390/biology11111671.</mixed-citation></citation-alternatives></ref><ref id="cit51"><label>51</label><citation-alternatives><mixed-citation xml:lang="ru">Zhang L., Ding X., Nie S. et al.Association of hsa-miR-145 overexpression in human testicular cells with male infertility. Mol Med Rep. 2015;11(6):4365–72. https://doi.org/10.3892/mmr.2015.3273.</mixed-citation><mixed-citation xml:lang="en">Zhang L., Ding X., Nie S. et al.Association of hsa-miR-145 overexpression in human testicular cells with male infertility. Mol Med Rep. 2015;11(6):4365–72. https://doi.org/10.3892/mmr.2015.3273.</mixed-citation></citation-alternatives></ref><ref id="cit52"><label>52</label><citation-alternatives><mixed-citation xml:lang="ru">Gunes S., Arslan M.A., Hekim G.N.T., Asci R. The role of epigenetics in idiopathic male infertility. J Assist Reprod Genet. 2016;33(5):553–69. https://doi.org/10.1007/s10815-016-0682-8.</mixed-citation><mixed-citation xml:lang="en">Gunes S., Arslan M.A., Hekim G.N.T., Asci R. The role of epigenetics in idiopathic male infertility. J Assist Reprod Genet. 2016;33(5):553–69. https://doi.org/10.1007/s10815-016-0682-8.</mixed-citation></citation-alternatives></ref><ref id="cit53"><label>53</label><citation-alternatives><mixed-citation xml:lang="ru">Sahoo B., Choudhary R.K., Sharma P. et al. Significance and relevance of spermatozoal RNAs to male fertility in livestock. Front Genet. 2021;12:768196. https://doi.org/10.3389/fgene.2021.768196.</mixed-citation><mixed-citation xml:lang="en">Sahoo B., Choudhary R.K., Sharma P. et al. Significance and relevance of spermatozoal RNAs to male fertility in livestock. Front Genet. 2021;12:768196. https://doi.org/10.3389/fgene.2021.768196.</mixed-citation></citation-alternatives></ref><ref id="cit54"><label>54</label><citation-alternatives><mixed-citation xml:lang="ru">Wang J., Liu S., Shi J. et al. The role of miRNA in the diagnosis, prognosis, and treatment of osteosarcoma. Cancer Biother Radiopharm. 2019;34(10):605–13. https://doi.org/10.1089/cbr.2019.2939.</mixed-citation><mixed-citation xml:lang="en">Wang J., Liu S., Shi J. et al. The role of miRNA in the diagnosis, prognosis, and treatment of osteosarcoma. Cancer Biother Radiopharm. 2019;34(10):605–13. https://doi.org/10.1089/cbr.2019.2939.</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>
