PDF(Pubmed)
Abstract：
Gestational diabetes mellitus (GDM) is a severe pregnancy complication for both the woman and the child. Women who suffer from GDM have a greater risk of developing Type 2 diabetes mellitus (T2DM) later in life. Identification of any potential biomarkers for the early prediction of gestational diabetes can help prevent the disease in women with a high risk. Studies show microRNA (miRNA) as a potential biomarker for the early discovery of GDM, but there is a lack of clarity as to which miRNAs are consistently altered in GDM. This study aimed to perform a systematic review and meta-analysis to investigate miRNAs associated with GDM by comparing GDM cases with normoglycemic controls. The systematic review was performed according to PRISMA guidelines with searches in PubMed, Web of Science, and ScienceDirect. The primary search resulted in a total of 849 articles, which were screened according to the prior established inclusion and exclusion criteria. Following the screening of articles, the review was based on the inclusion of 35 full-text articles, which were evaluated for risk of bias and estimates of quality, after which data were extracted and relative values for miRNAs were calculated. A meta-analysis was performed for the miRNA species investigated in three or more studies: MiR-29a, miR-330, miR-134, miR-132, miR-16, miR-223, miR-155, miR-122, miR-17, miR-103, miR-125, miR-210, and miR-222. While some miRNAs showed considerable between-study variability, miR-29a, miR-330, miR-134, miR-16, miR-223, and miR-17 showed significant overall upregulation in GDM, while circulating levels of miR-132 and miR-155 were decreased among GDM patients, suggesting further studies of these as biomarkers for early GDM discovery.
摘要：
妊娠糖尿病（GDM）是妇女和儿童的严重妊娠并发症。患有GDM的女性在以后的生活中发展为2型糖尿病（T2DM）的风险更大。识别用于早期预测妊娠糖尿病的任何潜在生物标志物可以帮助预防高风险女性的疾病。研究表明microRNA(miRNA)作为早期发现GDM的潜在生物标志物,但尚不清楚GDM中哪些miRNA持续改变。本研究旨在进行系统评价和荟萃分析，通过比较GDM病例和正常血糖控制，研究与GDM相关的miRNA。根据PRISMA指南进行系统评价，并在PubMed中进行搜索，WebofScience,和科学直接。初步搜索结果共849篇文章,根据先前建立的纳入和排除标准进行筛选。在筛选文章之后，审查的基础是纳入35条全文，对偏差风险和质量估计进行了评估，之后提取数据并计算miRNA的相对值。对三个或更多研究中研究的miRNA种类进行了荟萃分析：MiR-29a，miR-330、miR-134、miR-132、miR-16、miR-223、miR-155、miR-122、miR-17、miR-103、miR-125、miR-210和miR-222。虽然一些miRNA显示出相当大的研究间变异性，miR-29a,miR-330、miR-134、miR-16、miR-223和miR-17在GDM中显示出显著的总体上调,而GDM患者中miR-132和miR-155的循环水平降低，建议进一步研究这些作为早期GDM发现的生物标志物。
