Diagnostic accuracy of plasma microRNA as a potential biomarker for detection of endometriosis.

IF 2.1 4区 医学 Q3 ANDROLOGY
Seyed Danial Mohammadi, Ashraf Moeini, Tayebeh Rastegar, Fardin Amidi, Mojtaba Saffari, Shahrzad Zhaeentan, Setareh Akhavan, Behnaz Moradi, Faezeh Heydarikhah, Nasrin Takzare
{"title":"Diagnostic accuracy of plasma microRNA as a potential biomarker for detection of endometriosis.","authors":"Seyed Danial Mohammadi, Ashraf Moeini, Tayebeh Rastegar, Fardin Amidi, Mojtaba Saffari, Shahrzad Zhaeentan, Setareh Akhavan, Behnaz Moradi, Faezeh Heydarikhah, Nasrin Takzare","doi":"10.1080/19396368.2025.2465268","DOIUrl":null,"url":null,"abstract":"<p><p>Endometriosis is a complex condition with a wide range of clinical manifestations, presenting significant challenges, particularly for young women. Its diverse and often perplexing presentations pose difficulties within the medical community. Laparoscopy remains the gold-standard diagnostic tool for endometriosis. However, alternative diagnostic methods are valuable for monitoring disease progression, assessing the likelihood of recurrence, reducing the need for surgical procedures, and facilitating timely decisions regarding fertility concerns. Recent research highlights the potential of microRNAs (miRNAs) as an alternative diagnostic test for endometriosis. A case-control study was conducted at the infertility unit of Arash Women's Hospital, involving 50 female participants, 25 with endometriosis and 25 without it. Plasma samples were collected and analyzed for the expression levels of 16 miRNAs using quantitative reverse transcription polymerase chain reaction (qRT-PCR). Diagnostic accuracy measures were evaluated to establish a reliable and comparable diagnostic framework. Compared to the control group, downregulation of 11 miRNAs and upregulation of 5 miRNAs were observed in the case group. Regarding expression patterns, evidence from this study indicates that half of the evaluated miRNAs fall into the high-agreement category with similar studies. Sensitivity (SN) of the evaluated miRNAs ranged from 64.0% to 88.0%, while specificity (SP) ranged from 56.0% to 88.0%. The area under the curve (AUC) was reported between 0.619 (miR-135a) and 0.846 (miR-340). These findings suggest that the evaluated miRNAs demonstrate moderate to acceptable diagnostic accuracy for endometriosis.</p>","PeriodicalId":22184,"journal":{"name":"Systems Biology in Reproductive Medicine","volume":"71 1","pages":"61-75"},"PeriodicalIF":2.1000,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Systems Biology in Reproductive Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/19396368.2025.2465268","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/3/7 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"ANDROLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Endometriosis is a complex condition with a wide range of clinical manifestations, presenting significant challenges, particularly for young women. Its diverse and often perplexing presentations pose difficulties within the medical community. Laparoscopy remains the gold-standard diagnostic tool for endometriosis. However, alternative diagnostic methods are valuable for monitoring disease progression, assessing the likelihood of recurrence, reducing the need for surgical procedures, and facilitating timely decisions regarding fertility concerns. Recent research highlights the potential of microRNAs (miRNAs) as an alternative diagnostic test for endometriosis. A case-control study was conducted at the infertility unit of Arash Women's Hospital, involving 50 female participants, 25 with endometriosis and 25 without it. Plasma samples were collected and analyzed for the expression levels of 16 miRNAs using quantitative reverse transcription polymerase chain reaction (qRT-PCR). Diagnostic accuracy measures were evaluated to establish a reliable and comparable diagnostic framework. Compared to the control group, downregulation of 11 miRNAs and upregulation of 5 miRNAs were observed in the case group. Regarding expression patterns, evidence from this study indicates that half of the evaluated miRNAs fall into the high-agreement category with similar studies. Sensitivity (SN) of the evaluated miRNAs ranged from 64.0% to 88.0%, while specificity (SP) ranged from 56.0% to 88.0%. The area under the curve (AUC) was reported between 0.619 (miR-135a) and 0.846 (miR-340). These findings suggest that the evaluated miRNAs demonstrate moderate to acceptable diagnostic accuracy for endometriosis.

求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
4.30
自引率
4.20%
发文量
27
审稿时长
>12 weeks
期刊介绍: Systems Biology in Reproductive Medicine, SBiRM, publishes Research Articles, Communications, Applications Notes that include protocols a Clinical Corner that includes case reports, Review Articles and Hypotheses and Letters to the Editor on human and animal reproduction. The journal will highlight the use of systems approaches including genomic, cellular, proteomic, metabolomic, bioinformatic, molecular, and biochemical, to address fundamental questions in reproductive biology, reproductive medicine, and translational research. The journal publishes research involving human and animal gametes, stem cells, developmental biology and toxicology, and clinical care in reproductive medicine. Specific areas of interest to the journal include: male factor infertility and germ cell biology, reproductive technologies (gamete micro-manipulation and cryopreservation, in vitro fertilization/embryo transfer (IVF/ET) and contraception. Research that is directed towards developing new or enhanced technologies for clinical medicine or scientific research in reproduction is of significant interest to the journal.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信