胃饥饿素内含子长链非编码RNA以及作为2型糖尿病的新型生物标志物。 （注：原文句子不完整，翻译出来的内容也稍显突兀，推测完整句子可能会使意思更清晰。）
Ghrelin intronic lncRNAs, and , as novel biomarkers in type 2 diabetes mellitus.
作者信息
Anbari Dalia M, Al-Harithy Rowyda N
机构信息
Department of Biochemistry, King AbdulAziz University, Jeddah, Saudi Arabia.
出版信息
Arch Physiol Biochem. 2023 Feb;129(1):241-245. doi: 10.1080/13813455.2020.1817095. Epub 2020 Sep 12.
BACKGROUND
We aim to identify circulating lncRNAs located in the region of the () gene that play a role in the development of T2DM.
METHODS
Bioinformatic tool was used to identify candidates -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 -lncRNAs.
RESULTS
The bioinformatic analysis predicted three antisense and eight sense-intronic - lncRNAs. Two differentially expressed -lncRNAs were detected in diabetic patients. The expression levels of , and the mRNA were significantly ( ≤ .0001) lower in the diabetic patients. ROC analysis showed that the area under the curve (AUC) value was 0.93 for and 0.90 for
CONCLUSION
lnc--3:2 and lnc--3:3 are novel biomarkers and might play a regulatory role in T2DM pathogenesis.
背景
我们旨在鉴定位于（）基因区域的、在2型糖尿病（T2DM）发生发展中起作用的循环长链非编码RNA（lncRNA）。
方法
使用生物信息学工具鉴定lncRNA候选物。采用定量实时聚合酶链反应（qRT-PCR）比较所选lncRNA在糖尿病患者和非糖尿病对照中的表达水平。进行受试者工作特征（ROC）曲线分析以评估所选lncRNA的鉴别能力。
结果
生物信息学分析预测出3个反义lncRNA和8个正义内含子lncRNA。在糖尿病患者中检测到2个差异表达的lncRNA。糖尿病患者中，和mRNA的表达水平显著降低（≤0.0001）。ROC分析显示，lnc--3:2的曲线下面积（AUC）值为0.93，lnc--3:3的AUC值为0.90。
结论
lnc--3:2和lnc--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。
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