Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Department of Radiology, Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, Iran.
BMC Med Genomics. 2023 Mar 8;16(1):48. doi: 10.1186/s12920-023-01476-0.
This study aimed to investigate the pooled diagnostic ability of circular RNA (circRNA) molecules for diabetes mellitus.
We searched PubMed, Scopus, and Web of Science for relevant studies. A total of 2070 participants, including 775 diabetic patients and 1295 healthy individuals, from five studies were included in this meta-analysis. True positive, true negative, false positive, and false negative data were extracted to calculate pooled sensitivity, specificity, positive and negative likelihood ratios, diagnostic odds ratio, and area under the receiver operating characteristics curve. The Deeks' funnel plot was applied for publication bias assessment, Cochran's Q test and I2 index were applied for inter-study heterogeneity assessment. Besides, a subgroup analysis was performed for determining the source of heterogeneity between studies. P value < 0.05 was considered significance. All analysis were done by STATA version 14.
CircRNA presented a sensitivity of 76% (95% confidence interval [95%CI]: 66-84%), specificity of 77% (95%CI: 58-89%), positive LR of 3.25 (95%CI: 1.69-6.23), negative LR of 0.31 (95%CI: 0.21-0.46), DOR of 10.41 (95%CI: 4.26-25.41), and AUC of 0.82 (95%CI: 0.79-0.85) for diabetes mellitus detection. More specifically, hsa_circ_0054633 showed a sensitivity of 67% (95%CI: 53-81%) and a specificity of 82% (95%CI: 63-100%).
CircRNAs show highly accurate diagnostic capability for type 2 diabetes mellitus and gestational diabetes mellitus. High sensitivity of circRNAs introduces them as potential noninvasive biomarkers for early diagnosis of diabetes mellitus and their high specificity introduces them as potential therapeutic targets by regulation of their expression.
本研究旨在探讨环状 RNA（circRNA）分子对糖尿病的综合诊断能力。
我们检索了 PubMed、Scopus 和 Web of Science 中相关的研究。共有五项研究共纳入 2070 名参与者，其中 775 名糖尿病患者和 1295 名健康个体。本荟萃分析提取了真阳性、真阴性、假阳性和假阴性数据，以计算汇总敏感性、特异性、阳性和阴性似然比、诊断优势比和受试者工作特征曲线下面积。应用 Deeks 漏斗图评估发表偏倚，应用 Cochran's Q 检验和 I2 指数评估研究间异质性。此外，还进行了亚组分析以确定研究间异质性的来源。P 值<0.05 为有统计学意义。所有分析均使用 STATA 版本 14 进行。
circRNA 对糖尿病的诊断敏感度为 76%（95%可信区间[95%CI]：66-84%），特异度为 77%（95%CI：58-89%），阳性似然比为 3.25（95%CI：1.69-6.23），阴性似然比为 0.31（95%CI：0.21-0.46），诊断比值比为 10.41（95%CI：4.26-25.41），曲线下面积为 0.82（95%CI：0.79-0.85）。具体而言，hsa_circ_0054633 的敏感度为 67%（95%CI：53-81%），特异度为 82%（95%CI：63-100%）。
circRNA 对 2 型糖尿病和妊娠期糖尿病具有高度准确的诊断能力。circRNA 的高敏感度使其成为糖尿病早期诊断的潜在非侵入性生物标志物，其高特异性使其成为通过调节其表达来治疗糖尿病的潜在治疗靶点。
