1. Serum miRNA as a predictive biomarker for ovarian reserve after endometrioma-cystectomy.
- Author
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Yabuki A, Muraoka A, Osuka S, Yokoi A, Yoshida K, Kitagawa M, Bayasura, Sonehara R, Miyake N, Nakanishi N, Nakamura T, Iwase A, and Kajiyama H
- Subjects
- Female, Humans, Cystectomy, Biomarkers, Anti-Mullerian Hormone, MicroRNAs genetics, Endometriosis surgery, Ovarian Reserve
- Abstract
Ovarian endometrioma (OE) is a common gynecological disease that is often treated with surgery and hormonal treatment. However, ovarian cystectomy can impair the ovarian reserve (OR). Previously, we showed that perioperative administration of dienogest (DNG) is an effective option for OR preservation. However, there were differences in the extent of OR preservation among patients following perioperative DNG treatment. In the current study, we performed a global examination of serum microRNAs (miRNAs) to identify accurate biomarkers that predict post-operative restoration of OR following perioperative DNG treatment. We also sought to identify specific miRNAs related to the anti-Müllerian hormone (AMH). miRNA sequencing was performed on serum samples obtained from twenty-seven patients who received perioperative DNG treatment. Candidate miRNAs were selected by comparing patients whose ORs were restored postoperatively (responder group, n = 7) with those whose ORs were not (non-responder group, n = 7). miR-370-3p and miR-1307-3p were significantly upregulated in the responder group, whereas miR-27b-3p was upregulated in the non-responder group. The pretreatment value of each miRNA could predict DNG responsiveness for OR following ovarian cystectomy (area under the curve [AUC] > 0.8). The quantitative polymerase chain reaction (qPCR) revealed only miR-1307-3p was found to be significantly upregulated in the responder group (P < 0.05). In addition, we identified miR-139-3p, miR-140-3p, and miR-629-5p as AMH-associated miRNAs. The transition of AMH showed a correlation with miR-139-3p (P < 0.05, r = -0.76). The miRNAs identified herein represent potential serum biomarkers of clinical value in predicting OR prior to DNG treatment., Competing Interests: Declaration of Competing Interest The authors have declared that no conflicts of interest exist., (Copyright © 2023. Published by Elsevier B.V.)
- Published
- 2024
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