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Differential expression of long non-coding RNAs in peripheral blood of type 2 diabetic patients / 中华内分泌代谢杂志
Article de Zh | WPRIM | ID: wpr-791727
Bibliothèque responsable: WPRO
ABSTRACT
Objective To screen and verify the differential expression profiles of long non-coding RNAs (LncRNAs) in peripheral blood of patients with type 2 diabetes mellitus(T2DM), to identify the potential molecular specific markers of early T2DM. Methods The vein blood samples of 4 type 2 diabetic patients and 4 normal control subjects were collected for microarray analysis. Then six candidate markers of LncRNAs screened from the differential expression profile were tested by qRT-PCR among the subjects ( 80 cases in the T2DM group and 50 cases in the control group). The possibility of these LncRNAs as molecular diagnostic markers was analyzed, and finally two of them were carried out by receiver operating characteristic (ROC) analysis. Results Compared with control subjects, there were differentially expressed 133 LncRNAs in type 2 diabetic patients, among which 5 were up-regulated with the maximum up-regulated fold 3.29 and 128 were down-regulated with the maximum down-regulated fold 8.99. Six down-regulated LncRNAs were selected for validation and revealed a similar result to that of microarray.The expressions of two LncRNAs(NONHSAT160746 and NONHSAT140069) in peripheral blood of diabetic patients were significantly lower than those of control subjects (P<0.01). The areas under the ROC curve of the two LncRNAs were 0.734 and 0.703, respectively(P<0.01). Conclusion LncRNAs NONHSAT160746 and LncRNAs NONHSAT140069 are the potential molecular specific markers for the diagnosis of diabetes mellitus.
Mots clés
Texte intégral: 1 Base de données: WPRIM Type d'étude: Prognostic_studies Langue: Zh Journal: Chinese Journal of Endocrinology and Metabolism Année: 2019 Type de document: Article
Texte intégral: 1 Base de données: WPRIM Type d'étude: Prognostic_studies Langue: Zh Journal: Chinese Journal of Endocrinology and Metabolism Année: 2019 Type de document: Article