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血清miRNA-93、miRNA-223联合miRNA-324-3p可作为诊断PCOS的生物标记物
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  • 英文篇名:Serum miRNA-93 and miRNA-223 Combined with miRNA-324-3p Biomarkers in Diagnosis of PCOS
  • 作者:张伟 ; 欧秋娟 ; 王岐本 ; 张天杰 ; 唐伟军
  • 英文作者:Zhang Wei;Ou Qiujuan;Wang Qiben;Zhang Tianjie;Tang Weijun;Physiology Teaching and Research Section, Xiangnan University;Xiangnan University Affiliated Hospital;Dean's Office of Xiangnan University;
  • 关键词:多囊卵巢综合症 ; 血清miRNA ; 肌肉生长抑素 ; 生物标记物
  • 英文关键词:Ploycystic ovary syndrome(PCOS);;Serum miRNA;;Myostatin;;Biomarker
  • 中文刊名:GXNB
  • 英文刊名:Genomics and Applied Biology
  • 机构:湘南学院生理学教研室;湘南学院附属医院;湘南学院教务处;
  • 出版日期:2019-02-25
  • 出版单位:基因组学与应用生物学
  • 年:2019
  • 期:v.38
  • 基金:湖南省教育厅科学研究项目(湘教通(2016)395号-16C1495);; 湖南省医药卫生科研计划项目(湘卫科教发(2016)1号-C2016047)共同资助
  • 语种:中文;
  • 页:GXNB201902059
  • 页数:6
  • CN:02
  • ISSN:45-1369/Q
  • 分类号:409-414
摘要
本研究拟基于最近的miRNA报道,结合前期关于肌肉生长抑素(myostatin, MSTN)的相关研究,探究多囊卵巢综合症(ploycystic ovary syndrome, PCOS)患者血清miRNA和生长抑素的表达及其相关临床病理特征。本研究选取160例在湘南学院附属医院妇科就诊的女性为研究对象,通过PCR、ELISA等方法比较PCOS患者血清miRNA和生长抑素的表达情况,并且分析其相关临床病理特征。结果显示,通过PCR的方法发现mi RNA-93、mi RNA-223在PCOS患者的血清中显著升高,而mi RNA-4522、mi RNA-6767-5p和mi RNA-324-3p则表达下降。本研究建立了3个miRNA的预测模型,并证实预测模型在筛选组和验证组中有很好的敏感性和特异性,可以有效区分PCOS患者和正常人群,但研究结果也发现,miRNA模型结合MSTN没有更好的诊断价值。
        Based on the recent reports of miRNAs, combined with previous researches related to muscle somatostatin(MSTN), this study explored the expression of serum miRNAs and MSTN in patients with ploycystic ovary syndrome(PCOS) and its related clinical pathological features. This research chose 160 cases of females visiting Gynecology Department of Xiangnan University Affiliated Hospital as subjects, the expression of serum miRNA and MSTN in patients with PCOS patients were compared by PCR and ELISA, and the related clinical pathologic features were analyzed as well. The results showed that the expression of miRNA-93 and miRNA-223 was significantly increased in serum of patients with PCOS, while the expression of miRNA-4522, miRNA-6767-5 p, and miRNA-6767-3 p was decreased. The study established a "3-miRNAs"model, and confirmed the prediction model had well sensitivity and specificity in screening group and validation group, which could effectively distinguish PCOS patients and normal people. The research results found that miRNA model combined with MSTN had no better diagnostic value.
引文
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