lncRNAs用于诊断2型糖尿病的meta分析

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摘要目的采用meta分析系统性评价长链非编码RNA（lncRNA）对2型糖尿病的诊断意义。方法计算机检索PubMed、Embase、Cochrane Library、中国知网、万方数据库、维普网，收集各数据库建库至2021年2月公开发表的关于lncRNAs诊断2型糖尿病的临床研究，对其进行筛选、资料提取和文献质量评估，运用Ｍeta-disc1.4和Stata16等软件对纳入的研究进行meta分析。结果共纳入12篇文献，包括1776例2型糖尿病患者和1508名健康人。meta分析结果显示：合并灵敏度为0.75（95%CI：0.73～0.77，P ＜ 0.001），合并特异度为0.70（95%CI：0.67～0.72，P ＜ 0.001），综合受试者操作特征曲线下面积为0.79，Q* = 0.73。亚组分析结果显示，选择不同变化趋势的lncRNAs是诊断2型糖尿病的异质性来源（P ＜ 0.05）。敏感性分析结果显示，逐一剔除文献后合并诊断比值比为7.93～9.75，纳入研究的文献稳定性较好。发表偏倚分析结果显示研究之间不存在明显的发表偏倚（P ＞ 0.05）。结论循环lncRNAs表达水平对2型糖尿病的早期诊断具有重要的价值和意义。

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	谭晓勇1 赵吉昌2 田明英3 赵恩慧3 朱美3 幸勇1 冉启军4

关键词 ：长链非编码RNA, 2型糖尿病, meta分析, 诊断, 生物标志物

Abstract：Objective To systematically evaluate the diagnostic value of long noncoding RNA (lncRNA) in type 2 diabetes by meta analysis. Methods PubMed, Embase, Cochrane Library, CNKI, Wanfang Data, and VIP were searched by computer, and clinical studies on lncRNAs in the diagnosis of type 2 diabetes mellitus published from inception to February 2021 were collected for screening, data extraction, and literature quality assessment. Meta-analysis was performed on the included studies by using Meta-disc 1.4 and Stata 16 software. Results A total of 12 studies were included, including 1776 patients with type 2 diabetes mellitus and 1508 healthy subjects. Meta-analysis results showed that the combination sensitivity was 0.75(95%CI: 0.73-0.77, P ＜ 0.001), the combination specificity was 0.70(95%CI: 0.67-0.72, P ＜ 0.001), and the area under the summary receiver operating characteristic curve was 0.79, Q* = 0.73. Subgroup analysis showed that the selection of lncRNAs with different variation trends was the source of heterogeneity in the diagnosis of type 2 diabetes mellitus (P ＜ 0.05). Sensitivity analysis results showed that the combined diagnostic odds ratio was 7.93 to 9.75 after the exclusion of literatures one by one, indicating that the included literatures had good stability. The results of publication bias analysis showed that there was no significant publication bias among the studies (P ＞ 0.05). Conclusion The expression level of circulating lncRNAs has important value and significance for the early diagnosis of type 2 diabetes mellitus.

Key words： Long noncoding RNA Type 2 diabetes mellitus Meta analysis Diagnosis Biomarker

基金资助:四川省卫生健康委员会科研课题（20PJ313）。

通讯作者: 冉启军（1973.3-），男，主任医师；研究方向：心血管疾病。

作者简介: 谭晓勇（1989.10-），男，硕士；研究方向：内分泌疾病。

引用本文:

谭晓勇1 赵吉昌2 田明英3 赵恩慧3 朱美3 幸勇1 冉启军4. lncRNAs用于诊断2型糖尿病的meta分析[J]. 中国医药导报, 2021, 18(33): 80-85.
TAN Xiaoyong1 ZHAO Jichang2 TIAN Mingying3 ZHAO Enhui3 ZHU Mei3 XING Yong1 RAN Qijun4. Meta-analysis of lncRNAs for diagnosis of type 2 diabetes mellitus#br#. 中国医药导报, 2021, 18(33): 80-85.

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https://www.yiyaodaobao.com.cn/CN/ 或 https://www.yiyaodaobao.com.cn/CN/Y2021/V18/I33/80

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