Abstract

Background

We aim to identify circulating lncRNAs located in the region of the ghrelin (GHRL) gene that play a role in the development of T2DM.

Methods

Bioinformatic tool was used to identify candidates GHRL-lncRNAs. Quantitative real-time polymerase chain reaction (qRT-PCR) was used to compare the expression levels of selected lncRNAs on diabetic patients and non-diabetic controls.

Receiver operating characteristic (ROC) curve analysis was performed to evaluate the discriminatory power of selected GHRL-lncRNAs.

Results

The bioinformatic analysis predicted three antisense and eight sense-intronic GHRL- lncRNAs. Two differentially expressed GHRL-lncRNAs were detected in diabetic patients. The expression levels of lnc-GHRL-3:2, lnc-GHRL-3:3, and the GHRL mRNA were significantly (p ≤ .0001) lower in the diabetic patients. ROC analysis showed that the area under the curve (AUC) value was 0.93 for lnc-GHRL-3:2 and 0.90 for lnc-GHRL-3:3.

Conclusion

lnc-GHRL-3:2 and lnc-GHRL-3:3 are novel biomarkers and might play a regulatory role in T2DM pathogenesis.

中文翻译：

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Ghrelin 内含子 lncRNAs、lnc-GHRL-3:2 和 lnc-GHRL-3:3，作为 2 型糖尿病的新型生物标志物

摘要

背景

我们的目标是识别位于生长素释放肽( GHRL ) 基因区域的循环 lncRNA，它们在 T2DM 的发展中发挥作用。

方法

生物信息学工具用于识别候选GHRL -lncRNA。定量实时聚合酶链反应 (qRT-PCR) 用于比较选定 lncRNA 在糖尿病患者和非糖尿病对照中的表达水平。

进行接受者操作特征 (ROC) 曲线分析以评估所选GHRL -lncRNA 的辨别力。

结果

生物信息学分析预测了三个反义和八个有义内含子GHRL -lncRNA。在糖尿病患者中检测到两种差异表达的 GHRL -lncRNA。lnc-GHRL-3:2、lnc-GHRL-3:3和GHRL mRNA 的表达水平在糖尿病患者中显着 ( p  ≤ .0001) 较低。ROC 分析表明，lnc-GHRL-3:2 的曲线下面积 (AUC) 值为 0.93，lnc- GHRL-3:3为 0.90 。

结论

lnc- GHRL -3:2 和 lnc- GHRL -3:3 是新型生物标志物，可能在 T2DM 发病机制中发挥调节作用。