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25.07.2019 | Meta Analysis | Ausgabe 3/2019 Open Access

Endocrine 3/2019

Dysregulated expression of long noncoding RNAs serves as diagnostic biomarkers of type 2 diabetes mellitus

Zeitschrift:
Endocrine > Ausgabe 3/2019
Autoren:
Weiyue Zhang, Juan Zheng, Xiang Hu, Lulu Chen
Wichtige Hinweise
The original version of this article was revised due to an Open Access cancellation after publication.
A correction to this article is available online at https://​doi.​org/​10.​1007/​s12020-019-02056-y.

Supplementary information

The online version of this article (https://​doi.​org/​10.​1007/​s12020-019-02015-7) contains supplementary material, which is available to authorized users.
Publisher’s note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Abstract

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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