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血清来源的小细胞外囊泡作为预测子宫内膜异位症患者辅助生殖技术妊娠和分娩的生物标志物。

Serum-derived small extracellular vesicles as biomarkers for predicting pregnancy and delivery on assisted reproductive technology in patients with endometriosis.

作者信息

Muraoka Ayako, Yokoi Akira, Yoshida Kosuke, Kitagawa Masami, Murakami Mayuko, Miyake Natsuki, Sonehara Reina, Nakamura Tomoko, Osuka Satoko, Kajiyama Hiroaki

机构信息

Department of Obstetrics and Gynecology, Nagoya University Graduate School of Medicine, Nagoya, Japan.

Nagoya University Institute for Advanced Research, Nagoya, Japan.

出版信息

Front Endocrinol (Lausanne). 2025 Jan 17;15:1442684. doi: 10.3389/fendo.2024.1442684. eCollection 2024.

Abstract

INTRODUCTION

Endometriosis can cause of infertility, and evaluation methods for predicting clinical pregnancy outcomes are desired. Extracellular vesicles (EVs) exist in blood and it contains small non-coding RNAs (ncRNAs) that may reflect disease severity. In this study, we investigated small ncRNAs in serum EVs to identify specific biomarkers for predicting clinical pregnancy.

METHODS

Serum samples were collected from 48 patients who underwent assisted reproductive technology (ART). EVs were successfully isolated from serum samples and characterized using nanoparticle tracking assays, electron microscopy, and western blotting of EV's markers. We performed small RNA sequencing and analyzed microRNA (miRNA) profiles in the infertility patients with and without endometriosis to detect pregnancy-predicting biomarkers.

RESULTS

Candidate miRNAs in serum EVs were selected by comparing patients without endometriosis who became pregnant (n = 13) with those who did not (n = 21). A total of 241 miRNAs were detected; however, no trends separated the two groups. Next, EVs from patients with endometriosis were analyzed and divided into pregnant (n = 4) and non-pregnant (n = 10) cases. Among the 224 candidate miRNAs, miRNA profiles of pregnant women with endometriosis were separated from those of non-pregnant women by receiver-operating characteristics (ROC) curve analysis (area under the curve [AUC] > 0.8). In patients with endometriosis, serum EVs may be useful for predicting possible pregnancy before infertility treatment. Finally, we used small RNA sequencing of the tissue to demonstrate that pregnancy-predicting miRNAs in serum EVs were produced from endometriosis lesions. Although no predictors were found from miRNAs in serum EVs without endometriosis, miRNAs in serum EVs of patients with endometriosis could provide novel noninvasive biomarkers to predict pregnancy and have potential clinical applicability in ART.

DISCUSSION

Further studies are required to examine the functional importance of these miRNAs to elucidate the pathological mechanisms of endometriosis and pregnancy.

摘要

引言

子宫内膜异位症可导致不孕,因此需要预测临床妊娠结局的评估方法。细胞外囊泡(EVs)存在于血液中,其包含的小非编码RNA(ncRNAs)可能反映疾病严重程度。在本研究中,我们调查了血清EVs中的小ncRNAs,以鉴定预测临床妊娠的特异性生物标志物。

方法

收集48例行辅助生殖技术(ART)患者的血清样本。成功从血清样本中分离出EVs,并使用纳米颗粒追踪分析、电子显微镜和EV标志物的蛋白质印迹法进行表征。我们进行了小RNA测序,并分析了有和没有子宫内膜异位症的不孕患者的微小RNA(miRNA)谱,以检测预测妊娠的生物标志物。

结果

通过比较未患子宫内膜异位症且怀孕的患者(n = 13)和未怀孕的患者(n = 21),筛选出血清EVs中的候选miRNAs。共检测到241种miRNAs;然而,两组之间没有明显的区分趋势。接下来,对患有子宫内膜异位症的患者的EVs进行分析,并分为怀孕组(n = 4)和未怀孕组(n = 10)。在224种候选miRNAs中,通过受试者工作特征(ROC)曲线分析(曲线下面积[AUC]> 0.8),将患有子宫内膜异位症的孕妇的miRNA谱与未怀孕妇女的miRNA谱区分开来。在患有子宫内膜异位症的患者中,血清EVs可能有助于在不孕治疗前预测可能的妊娠。最后,我们对组织进行小RNA测序,以证明血清EVs中预测妊娠的miRNAs是由子宫内膜异位症病变产生的。虽然在没有子宫内膜异位症的血清EVs中的miRNAs中未发现预测指标,但患有子宫内膜异位症患者的血清EVs中的miRNAs可以提供预测妊娠的新型非侵入性生物标志物,并在ART中具有潜在的临床应用价值。

讨论

需要进一步研究来检查这些miRNAs的功能重要性,以阐明子宫内膜异位症和妊娠的病理机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d267/11782015/c869028cf96e/fendo-15-1442684-g001.jpg

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