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Updated: Jan 21, 2026

Overexpressing Long Noncoding RNAs Using Gene-activating CRISPR
Published on: March 1, 2019
Dysregulated expression of long noncoding RNAs serves as diagnostic biomarkers of type 2 diabetes mellitus
Weiyue Zhang1, Juan Zheng1, Xiang Hu1
1Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430022, Wuhan, China.
Purpose:
Long noncoding RNAs (LncRNAs) are widely investigated in various diseases as a novel type of biomarkers. We aimed to elucidate the diagnostic values of lncRNAs in patients with type 2 diabetes mellitus (T2DM).
Methods:
We comprehensively searched PubMed, Web of Science, EMBASE, CBM, Scopus, and the Cochrane Library databases from the inception to 3 January 2019. Studies concerning the association between lncRNAs expression and diagnostic outcomes in type 2 diabetes mellitus patients were included. We employed pooled odds ratios (ORs) and 95% confidence intervals (CIs) to evaluate diagnostic parameters.
Results:
Seven relevant studies were eligible in our study. The pooled results showed that lncRNAs performed the area under the curve (AUC) of 0.73 (95%Cl: 0.69-0.77), with sensitivity of 0.71 (95%Cl: 0.64-0.77) and specificity of 0.66 (95%Cl: 0.60-0.71) in discriminating type 2 diabetes from healthy controls. As for prediabetes, lncRNAs conducted AUC of 0.75 with 76% sensitivity and 64% specificity. Moreover, subgroup analysis based on expression levels of lncRNAs, sample sizes, and specimen of eligible studies were further performed.
Conclusions:
This study indicates that lncRNAs may serve as promising indicators for diagnostic evaluation of T2DM patients.
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