Faculdade Israelita de Ciências da Saúde Albert Einstein, Hospital Israelita Albert Einstein, São Paulo, SP, Brazil.
Hospital Israelita Albert Einstein, São Paulo, SP, Brazil.
Einstein (Sao Paulo). 2021 Apr 26;19:eRW5704. doi: 10.31744/einstein_journal/2021RW5704. eCollection 2021.
The aim of the study was to assess the evidence on miRNAs as biomarkers for the diagnosis of endometriosis, as well as to provide insights into the challenges and strategies associated with the use of these molecules as accessible tools in clinical practice.
Systematic review conducted on PubMed®, Latin American and Caribbean Health Sciences Literature (LILACS), MEDLINE® and Web of Science databases using the search terms endometriosis (all fields) AND miRNA (all fields), evaluating all publication up to May 2019.
Most miRNAs found to be dysregulated in this study were harvested from tissue samples, which precludes their use as a non-invasive diagnostic test. However, differential expression of 62 miRNAs was reported in samples that may be used for non-invasive diagnosis of endometriosis, such as blood, serum and plasma.
Despite the identification of several candidates, studies are investigatory in nature and have been conducted with small number of samples. Also, no particular miRNA has been validated for diagnostic purposes so far. Studies based primarily on biological samples and applicable to translational research are warranted. Large databases comprising information on sample type and the use of saliva and vaginal fluid for miRNAs identification may prove essential to overcome current barriers to diagnosis of endometriosis.
本研究旨在评估 miRNA 作为子宫内膜异位症诊断生物标志物的证据，并深入了解将这些分子用作临床实践中可及工具相关的挑战和策略。
在 PubMed®、拉丁美洲和加勒比健康科学文献（LILACS）、MEDLINE®和 Web of Science 数据库中使用“子宫内膜异位症（所有字段）和 miRNA（所有字段）”这两个检索词进行系统评价，评估截至 2019 年 5 月的所有出版物。
本研究中发现的大多数失调 miRNA 均来自组织样本，这使其无法作为非侵入性诊断测试使用。然而，已有研究报告了 62 种 miRNA 在血液、血清和血浆等可能用于子宫内膜异位症非侵入性诊断的样本中的差异表达。
尽管已经确定了一些候选 miRNA，但这些研究的性质为探索性，并且样本数量较少。此外，迄今为止，尚无特定 miRNA 经过验证可用于诊断目的。有必要开展主要基于生物样本的研究，以便应用于转化研究。包含有关样本类型以及使用唾液和阴道液鉴定 miRNA 信息的大型数据库可能对于克服目前子宫内膜异位症诊断的障碍至关重要。
