verezdoВестник репродуктивного здоровьяBulletin of Reproductive Health2075-65692310-421XEndocrinology Research Centre (Moscow)10.14341/brh12791verezdo-12795Research ArticleНОВОСТИNEWSНовости репродуктивной медицины. Дайджест публикаций, выпуск 10Reproductive medicine news. Digest of publications, issue 10https://orcid.org/0009-0008-8067-5740БарминаИ. И.BarminaI. I.

Бармина Ирина Игоревна - к.м.н.

117036, Москва, ул. Дм. Ульянова, д. 11

Irina I. Barmina, PhD in Medical sciences

11 Dm.Ulyanova street, 117036 Moscow

barmina.irina@endocrincentr.ruФедеральное государственное бюджетное учреждение «Национальный медицинский исследовательский центр эндокринологии имени академика И.И. Дедова» Министерства здравоохранения Российской ФедерацииРоссияFederal State Budgetary Institution "I.I. Dedov National Medical Research Center of Endocrinology" of the Ministry of Health of the Russian FederationRussian Federation20262604202601913Copyright © Бармина И.И., 20262026Бармина И.И.Barmina I.I.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://www.vrz-endojournals.ru/jour/article/view/12795

В данном выпуске новостей репродуктивной медицины представлены актуальные исследования и данные рекомендаций по изучению и инновационным методикам лечения заболеваний репродуктивной системы, изложенные в ведущих международных периодических изданиях.

This issue of reproductive medicine news presents current research and data from reviews and meta-analyses on the study and innovative methods of treating diseases of the reproductive system, presented in leading international periodicals.

ожирение и мужская фертильностьискусственный интеллектрепродуктивный возраст женщиныхронический эндометритobesity and male fertilityartificial intelligencea woman’s reproductive agechronic endometritisРабота выполнена без привлечения финансированияReferencesRocco L, Saleh R, Mahmutoglu AM, Shah R, Agarwal A. Obesity and male infertility - a tenuous relationship: Facts discerned for the busy clinicians. Arab J Urol. 2025 Mar 5;23(3):169-176. doi: https://doi.org/10.1080/20905998.2025.2473219Rocco L, Saleh R, Mahmutoglu AM, Shah R, Agarwal A. Obesity and male infertility - a tenuous relationship: Facts discerned for the busy clinicians. Arab J Urol. 2025 Mar 5;23(3):169-176. doi: https://doi.org/10.1080/20905998.2025.2473219Pereira TA, Thaker N, Rubez AC, Lima VFN, Bernie HL, Esteves SC. Managing obesity-related male infertility: insights from weight loss intervention. Hum Reprod. 2025 Nov 1;40(11):2027-2037. doi: https://doi.org/10.1093/humrep/deaf180Pereira TA, Thaker N, Rubez AC, Lima VFN, Bernie HL, Esteves SC. Managing obesity-related male infertility: insights from weight loss intervention. Hum Reprod. 2025 Nov 1;40(11):2027-2037. doi: https://doi.org/10.1093/humrep/deaf180Peel A, Lyons H, Tully CA, Vincent AD, Jesudason D, Wittert G, McPherson NO. The effect of obesity interventions on male fertility: a systematic review and meta-analysis. Hum Reprod Update. 2025 Oct 9. doi: https://doi.org/10.1093/humupd/dmaf025Peel A, Lyons H, Tully CA, Vincent AD, Jesudason D, Wittert G, McPherson NO. The effect of obesity interventions on male fertility: a systematic review and meta-analysis. Hum Reprod Update. 2025 Oct 9. doi: https://doi.org/10.1093/humupd/dmaf025Sebastian-Leon P, Sanz FJ, Molinaro P, Pellicer A, Diaz-Gimeno P. Advanced maternal age was associated with an annual decline in reproductive success despite use of donor oocytes: a retrospective study. Fertil Steril. 2025 Oct;124(4):635-644. doi: https://doi.org/10.1016/j.fertnstert.2025.05.150Sebastian-Leon P, Sanz FJ, Molinaro P, Pellicer A, Diaz-Gimeno P. Advanced maternal age was associated with an annual decline in reproductive success despite use of donor oocytes: a retrospective study. Fertil Steril. 2025 Oct;124(4):635-644. doi: https://doi.org/10.1016/j.fertnstert.2025.05.150Kato H, Yamagishi Y, Hagihara M, Hirai J, Asai N, Shibata Y, Iwamoto T, Mikamo H. Systematic review and meta-analysis for impacts of oral antibiotic treatment on pregnancy outcomes in chronic endometritis patients. J Infect Chemother. 2022 May;28(5):610-615. doi: https://doi.org/10.1016/j.jiac.2022.01.001Kato H, Yamagishi Y, Hagihara M, Hirai J, Asai N, Shibata Y, Iwamoto T, Mikamo H. Systematic review and meta-analysis for impacts of oral antibiotic treatment on pregnancy outcomes in chronic endometritis patients. J Infect Chemother. 2022 May;28(5):610-615. doi: https://doi.org/10.1016/j.jiac.2022.01.001Liu J, Liu ZA, Liu Y, Cheng L, Yan L. Impact of antibiotic treatment for chronic endometritis on pregnancy outcomes in women with reproductive failures (RIF and RPL): A systematic review and meta-analysis. Front Med (Lausanne). 2022 Nov 3;9:980511. doi: https://doi.org/10.3389/fmed.2022.980511Liu J, Liu ZA, Liu Y, Cheng L, Yan L. Impact of antibiotic treatment for chronic endometritis on pregnancy outcomes in women with reproductive failures (RIF and RPL): A systematic review and meta-analysis. Front Med (Lausanne). 2022 Nov 3;9:980511. doi: https://doi.org/10.3389/fmed.2022.980511Xu Y, Kwan PY, Chen W, Zhang Q, Zhou C, Mol BW, Xu Y, Gu F. The effect of antibiotic treatment on pregnancy outcomes in patients with mild chronic endometritis undergoing in vitro fertilization. Fertil Steril. 2025 Oct;124(4):711-719. doi: https://doi.org/10.1016/j.fertnstert.2025.05.172Xu Y, Kwan PY, Chen W, Zhang Q, Zhou C, Mol BW, Xu Y, Gu F. The effect of antibiotic treatment on pregnancy outcomes in patients with mild chronic endometritis undergoing in vitro fertilization. Fertil Steril. 2025 Oct;124(4):711-719. doi: https://doi.org/10.1016/j.fertnstert.2025.05.172Luz A, Hourvitz A, Moran E et al. Improved clinical pregnancy rates in natural frozen-thawed embryo transfer cycles with machine learning ovulation prediction: insights from a retrospective cohort study. Sci Rep 14, 29451 (2024). doi: https://doi.org/10.1038/s41598-024-80356-8Luz A, Hourvitz A, Moran E et al. Improved clinical pregnancy rates in natural frozen-thawed embryo transfer cycles with machine learning ovulation prediction: insights from a retrospective cohort study. Sci Rep 14, 29451 (2024). doi: https://doi.org/10.1038/s41598-024-80356-8Reuvenny S, Youngster M, Luz A, Hourvitz R, Maman E, Baum M, Hourvitz A. An artificial intelligence-based approach for selecting the optimal day for triggering in antagonist protocol cycles. Reprod Biomed Online. 2024 Jan;48(1):103423. doi: https://doi.org/10.1016/j.rbmo.2023.103423Reuvenny S, Youngster M, Luz A, Hourvitz R, Maman E, Baum M, Hourvitz A. An artificial intelligence-based approach for selecting the optimal day for triggering in antagonist protocol cycles. Reprod Biomed Online. 2024 Jan;48(1):103423. doi: https://doi.org/10.1016/j.rbmo.2023.103423

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