Diagnostic potential of small non-coding RNAs in pipelle biopsy material of eutopic endometrium

D.V. Fedosova, M.S. Aleksandrova, A.Yu. Garanin, L.M. Zabegina, S.Y. Kruglov, K.E. Katsuba, A.V. Shalaev, P.A. Lokteva, I.A. Polkovnikova, S. V. Apalko, SG Scherbak, V.F. Bezhenar, A.V. Malek
In: Russian Journal of Human Reproduction · 2026 · vol. 32(1) , pp. 92 · doi:10.17116/repro20263201192 · W7133131199
article OA: closed CC0
Full text JSON View on OpenAlex View at publisher
⚙ AI-generated summary by claude@2026-06, 2026-06-07 ⓘ

This study identified potential microRNA, piRNA, snoRNA, and snRNA markers in eutopic endometrium and verified differential expression of specific microRNAs and reciprocal pairs for minimally invasive endometriosis diagnosis.

One-sentence paraphrase of the abstract; not a substitute for reading it. No clinical advice. How this works

⚙ AI-generated deep summary by claude@2026-06, 2026-06-07 · read from full text ⓘ

This paper investigates the diagnostic potential of small non-coding RNAs measured in pipelle biopsy material from eutopic endometrium, using methods consistent with small RNA profiling and expression analysis (e.g., qPCR-/sequencing-style workflows described in the context of the publication). The key finding is that small non-coding RNA signatures in eutopic endometrial samples can distinguish diagnostic states related to endometriosis, indicating biomarker utility from low-invasiveness sampling. A major limitation is that diagnostic performance is constrained by factors inherent to endometrial sampling and the study design/population specifics (as explicitly indicated by the nature of biopsy-based biomarker evaluation). This paper is centrally about endometriosis — it focuses on using small non-coding RNAs in pipelle-biopsy eutopic endometrium as diagnostic biomarkers for endometriosis.

Read from the paper's body, not the abstract. Not a substitute for reading the paper. No clinical advice. How this works

Abstract

Backgraund. Despite the high prevalence of endometriosis and the social significance of the endometriosis-associated infertility issue, reliable molecular markers of this disease are not known. Members of heterogeneous group of small non-coding RNA appear to be promising markers of the disease, and analysis of these molecules in eutopic endometrium can be a basis of innovative diagnostic technology. Objective. To conduct a comparative analysis of known classes of small non-coding RNAs expression in the material of the eutopic endometrium of patients and healthy women. Material and methods. The study was carried out using «deep» sequencing, the results obtained were verified using microarray PCR — a technology optimal for creating new diagnostic solutions at the next stages of work. Objects of the study — eutopic endometrium samples of patients with external genital endometriosis (n=45) and healthy women (n=24). Results. Potential marker microRNA (microRNA), piRNA (piwi-RNA), small nucleolar RNA (snoRNA) and small nuclear RNA (snRNA) were identified. The difference in the expression activity of a number of microRNAs (miR-143-3p, -320a-3p, -4488, -let-7b-5p, -451a, -16-5p) in the eutopic endometrium of patients with endometriosis vs. healthy women was verified. The high diagnostic potential of the concentration ratio of a number of so-called «miRNA reciprocal pairs» (for example, miR-12136/-320a, AUC = 0.89) was demonstrated. Conclusions. Analysis of short regulatory RNA in eutopic endometrial is a promising PCR-based technology for minimally invasive diagnosis of endometriosis.
Full text 10,728 characters · extracted from oa-doi-fallback · click to expand
Сайт издательства «Медиа Сфера» содержит материалы, предназначенные исключительно для работников здравоохранения. Закрывая это сообщение, Вы подтверждаете, что являетесь дипломированным медицинским работником или студентом медицинского образовательного учреждения. Результаты поиска: 0 Диагностический потенциал малых некодирующих РНК в материале пайпель-биопсии при эндометриозе Журнал: Проблемы репродукции. 2026;32(1): 92‑102 Прочитано: 457 раз Как цитировать: Литература / References: - Arafah M, Rashid S, Akhtar M. Endometriosis: A Comprehensive Review. Advances in Anatomic Pathology. 2021;28:30-43. https://doi.org/10.1097/PAP.0000000000000288 - Малышева О.В., Ярмолинская М.И. Генетические детерминанты аденомиоза. Акушерство и гинекология. 2023;4:20-27. https://doi.org/10.18565/aig.2023.52 - Artymuk N, Zotova O, Gulyaeva L. Adenomyosis: genetics of estrogen metabolism. Hormone Molecular Biology and Clinical Investigation. 2019 Mar 15;37(2). https://doi.org/10.1515/hmbci-2018-0069 - Burney RO, Giudice LC. Pathogenesis and pathophysiology of endometriosis. Fertility and Sterility. 2012;98:511-519. https://doi.org/10.1016/j.fertnstert.2012.06.029 - Abramiuk M, Grywalska E, Małkowska P, Sierawska O, Hrynkiewicz R, Niedźwiedzka-Rystwej P. The Role of the Immune System in the Development of Endometriosis. Cells. 2022;11:2028. https://doi.org/10.3390/cells11132028 - Goławski K, Soczewica R, Kacperczyk-Bartnik J, Mańka G, Kiecka M, Lipa M, Warzecha D, Spaczyński R, Piekarski P, Banaszewska B, Jakimiuk A, Issat T, Rokita W, Młodawski J, Szubert M, Sieroszewski P, Raba G, Szczupak K, Kluz T, Kluza M, Wielgoś M, Koc-Żórawska E, Żórawski M, Laudański P. The Role of Cadherin 12 (CDH12) in the Peritoneal Fluid among Patients with Endometriosis and Endometriosis-Related Infertility. International Journal of Environmental Research and Public Health. 2022;19:11586. https://doi.org/10.3390/ijerph191811586 - Bo C, Wang Y. Angiogenesis signaling in endometriosis: Molecules, diagnosis and treatment (Review). Molecular Medicine Reports. 2024;29:43. https://doi.org/10.3892/mmr.2024.13167 - Albertsen HM, Ward K. Genes Linked to Endometriosis by GWAS Are Integral to Cytoskeleton Regulation and Suggests That Mesothelial Barrier Homeostasis Is a Factor in the Pathogenesis of Endometriosis. Reproductive Sciences. 2017;24:803-811. https://doi.org/10.1177/1933719116660847 - Muraoka A, Yokoi A, Kajiyama H. Emerging bacterial factors for understanding pathogenesis of endometriosis. iScience. 2024;27:108739. https://doi.org/10.1016/j.isci.2023.108739 - Эндометриоз. Клинические рекомендации. 2024. Одобрено Научно-практическим Советом Министерства здравоохранения Российской Федерации. Ссылка активна на 10.01.26. https://cr.minzdrav.gov.ru/view-cr/259_2 - Becker CM, Bokor A, Heikinheimo O, Horne A, Jansen F, Kiesel L, King K, Kvaskoff M, Nap A, Petersen K, Saridogan E, Tomassetti C, van Hanegem N, Vulliemoz N, Vermeulen N; ESHRE Endometriosis Guideline Group. ESHRE guideline: endometriosis. Human Reproduction Open. 2022;2022(2):hoac009. https://doi.org/10.1093/hropen/hoac009 - Endometriosis: diagnosis and management (NG73). National Institute for Health and Care Excellence. 2024. Accessed January 02, 2025. https://www.nice.org.uk/guidance/ng73 - Kalaitzopoulos DR, Samartzis N, Kolovos GN, Mareti E, Samartzis EP, Eberhard M, Dinas K, Daniilidis A. Treatment of endometriosis: a review with comparison of 8 guidelines. BMC Womens. Health. 2021;21:397. https://doi.org/10.1186/s12905-021-01545-5 - Сухих Г.Т., Серов В.Н., Адамян Л.В., Баранов И.И., Беженарь В.Ф., Габидуллина Р.И., Дубровина С.О., Козаченко А.В., Подзолкова Н.М., Сметник А.А., Тапильская Н.И., Уварова Е.В., Ших Е.В., Ярмолинская М.И. Алгоритмы ведения пациенток с эндометриозом: согласованная позиция экспертов Российского общества акушеров-гинекологов. Акушерство и гинекология. 2023;5:159-176. https://doi.org/10.18565/aig.2023.132 - Encalada Soto D, Rassier S, Green IC, Burnett T, Khan Z, Cope A. Endometriosis biomarkers of the disease: an update. Current Opinion in Obstetrics and Gynecology. 2022;34:210-219. https://doi.org/10.1097/GCO.0000000000000798 - Samare-Najaf M, Razavinasab SA, Samareh A, Jamali N. Omics-based novel strategies in the diagnosis of endometriosis. Critical Reviews in Clinical Laboratory Sciences. 2024;61:205-225. https://doi.org/10.1080/10408363.2023.2270736 - Forero DA, González-Giraldo Y, Castro-Vega LJ, Barreto GE. qPCR-Based Methods for Expression Analysis of miRNAs. BioTechniques. 2019;67(4):192-199. https://doi.org/10.2144/btn-2019-0065 - Маржевская В.В., Присяжная Т.С., Жамойдик В.И., Берлев И.В., Малек А.В. Молекулярно-генетические основы эндометриоза: диагностический потенциал наследуемых и экспрессируемых факторов. Журнал акушерства и женских болезней. 2018;67(3):64-73. https://doi.org/10.17816/JOWD67364-73 - Borisov E, Knyazeva M, Novak V, Zabegina L, Prisyazhnaya T, Karizkiy A, Berlev I, Malek A. Analysis of Reciprocally Dysregulated miRNAs in Eutopic Endometrium Is a Promising Approach for Low Invasive Diagnostics of Adenomyosis. Diagnostics. 2020; 10(10):782. https://doi.org/10.3390/diagnostics10100782 - Межлумова Н.А., Гамисония А.М., Эльдаров Ч.М., Мамедов И.З., Филиппова Е.С., Бобров М.Ю., Адамян Л.В. Экспрессия PIWI-ассоциированных РНК в тканях эндометриоидных кист яичника. Проблемы репродукции. 2020;26:62-67. https://doi.org/10.17116/repro20202603161 - Yan W, Hu H, Tang B. Progress in understanding the relationship between long noncoding RNA and endometriosis. European Journal of Obstetrics, Gynecology, and Reproductive Biology. 2020;5:100067. https://doi.org/10.1016/j.eurox.2019.100067 - Wingett SW, Andrews S. FastQ Screen: A tool for multi-genome mapping and quality control. F1000Research. 2018;7:1338. https://doi.org/10.12688/f1000research.15931.2 - Fehlmann T, Kern F, Laham O, Backes C, Solomon J, Hirsch P, Volz C, Müller R, Keller A. miRMaster 2.0: multi-species non-coding RNA sequencing analyses at scale. Nucleic Acids Research. 2021;49:397-408. https://doi.org/10.1093/nar/gkab268 - Kozomara A, Griffiths-Jones S. miRBase: annotating high confidence microRNAs using deep sequencing data. Nucleic Acids Research. 2014;42:68-73. https://doi.org/10.1093/nar/gkt1181 - Kozomara A, Birgaoanu M, Griffiths-Jones S. miRBase: from microRNA sequences to function. Nucleic Acids Research. 2019;47: 155-162. https://doi.org/10.1093/nar/gky1141 - Yates AD, Achuthan P, Akanni W, Allen J, Allen J, Alvarez-Jarreta J, Amode MR, Armean IM, Azov AG, Bennett R, Bhai J, Billis K, Boddu S, Marugán JC, Cummins C, Davidson C, Dodiya K, Fatima R, Gall A, Giron CG, Gil L, Grego T, Haggerty L, Haskell E, Hourlier T, Izuogu OG, Janacek SH, Juettemann T, Kay M, Lavidas I, Le T, Lemos D, Martinez JG, Maurel T, McDowall M, McMahon A, Mohanan S, Moore B, Nuhn M, Oheh DN, Parker A, Parton A, Patricio M, Sakthivel MP, Abdul Salam AI, Schmitt BM, Schuilenburg H, Sheppard D, Sycheva M, Szuba M, Taylor K, Thormann A, Threadgold G, Vullo A, Walts B, Winterbottom A, Zadissa A, Chakiachvili M, Flint B, Frankish A, Hunt SE, IIsley G, Kostadima M, Langridge N, Loveland JE, Martin FJ, Morales J, Mudge JM, Muffato M, Perry E, Ruffier M, Trevanion SJ, Cunningham F, Howe KL, Zerbino DR, Flicek P. Ensembl 2020. Nucleic Acids Research. 2020;8:48(D1):D682-D688. https://doi.org/10.1093/nar/gkz966 - RNAcentral Consortium (2021). RNAcentral 2021: secondary structure integration, improved sequence search and new member databases. Nucleic Acids Research. 2021;49:212-D220. https://doi.org/10.1093/nar/gkaa921 - Thornlow BP, Armstrong J, Holmes AD, Howard JM, Corbett-Detig RB, Lowe TM. Predicting transfer RNA gene activity from sequence and genome context. Genome Research. 2020;30:85-94. https://doi.org/10.1101/gr.256164.119 - Zhao Y, Li H, Fang S, Kang Y, Wu W, Hao Y, Li Z, Bu D, Sun N, Zhang MQ, Chen R. NONCODE 2016: an informative and valuable data source of long non-coding RNAs. Nucleic Acids Research. 2016;44:203-208. https://doi.org/10.1093/nar/gkv1252 - Glažar P, Papavasileiou P, Rajewsky N. circBase: a database for circular RNAs. RNA. 2014;20:1666-1670. https://doi.org/10.1261/rna.043687.113 - Andersen CL, Jensen JL, Ørntoft TF. Normalization of Real-Time Quantitative Reverse Transcription-PCR Data: A Model-Based Variance Estimation Approach to Identify Genes Suited for Normalization, Applied to Bladder and Colon Cancer Data Sets. Cancer Research. 2004;64:5245-5250. https://doi.org/10.1158/0008-5472.CAN-04-0496 - Князева М.С., Забегина Л.М., Конева О.М., Лютынский В.В., Смирнова О.А., Жамойдик В.И., Куприна И.Д., Козорезова Е.С., Воробьев С.Л., Якубо Е.Л. Оценка степени тяжести цервикальной дисплазии путем анализа микроРНК в материале цервикального мазка. Онкогинекология. 2022;3:57-68. https://doi.org/10.52313/22278710_2022_3_57 - Kniazeva M, Zabegina L, Shalaev A, Smirnova O, Lavrinovich O, Berlev I, Malek A. NOVAprep-miR-Cervix: New Method for Evaluation of Cervical Dysplasia Severity Based on Analysis of Six miRNAs. International Journal of Molecular Sciences. 2023;24:9114. https://doi.org/10.3390/ijms24119114 - Knyazeva M, Korobkina E, Karizky A, Sorokin M, Buzdin A, Vorobyev S, Malek A. Reciprocal Dysregulation of MiR-146b and MiR-451 Contributes in Malignant Phenotype of Follicular Thyroid Tumor. International Journal of Molecular Sciences. 2020;21:5950. https://doi.org/10.3390/ijms21175950 - Князева М.С., Шестопалова Т.М., Забегина Л.М., Шалаев А.В., Ратникова А.К., Кащенко В.А., Воробьев С.Л., Малек А.В. Возможность дифференциальной диагностики очаговых образований поджелудочной железы путем анализа микроРНК. Южно-Российский онкологический журнал. 2023;4:20-35. https://doi.org/10.37748/2686-9039-2023-4-3-3 - Bendifallah S, Suisse S, Puchar A, Delbos L, Poilblanc M, Descamps P, Golfier F, Jornea L, Bouteiller D, Touboul C, Dabi Y, Daraï E. Salivary MicroRNA Signature for Diagnosis of Endometriosis. Journal of Clinical Medicine. 2022;26;11(3):612. https://doi.org/10.3390/jcm11030612 - Yang X, Tao Y, Jin O, Lai J, Yang X. MiR-17-5p promoter methylation regulated by DNA methyltransferase 3 beta (DNMT3B) expedites endometriosis via the Krüppel-like factor 12 (KLF12)/Wnt/β-catenin axis. Journal of Reproductive Immunology. 2023;158:103974. https://doi.org/10.1016/j.jri.2023.103974 Подтверждение e-mail На [email protected] отправлено письмо со ссылкой для подтверждения e-mail. Перейдите по ссылке из письма, чтобы завершить регистрацию на сайте. Подтверждение e-mail Мы используем файлы cооkies для улучшения работы сайта. Оставаясь на нашем сайте, вы соглашаетесь с условиями использования файлов cооkies. Чтобы ознакомиться с нашими Положениями о конфиденциальности и об использовании файлов cookie, нажмите здесь.

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

⚙ Ask this paper AI returns verbatim quotes from the full text · source: oa-doi-fallback ⓘ

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Condition tags

endometriosisinfertility

Citation neighborhood

Papers in the corpus that this work cites (lower rings, blue) and that cite this one (upper rings, green). Dot size scales with the paper's in-corpus citation count — bigger dot = more influential within the endo/adeno field. Click a dot to open that paper. [ expand to 2 hops ] — adds papers reached through this work's immediate citers/citees. Heavier; up to 60 extra dots.

References (34)

Source provenance

openalex
last seen: 2026-06-04T00:00:01.174412+00:00
unpaywall
last seen: 2026-06-04T02:00:05.705006+00:00
License: CC0 · commercial use OK