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Four-microRNA signature for detection of type 2 diabetes

BACKGROUND: Sensitive, novel, and accurate biomarkers for the detection of physiological changes in type 2 diabetes (T2DM) at an early stage are urgently needed. AIM: To build a multi-parameter diagnostic model for the early detection of T2DM. METHODS: MiR-148b, miR-223, miR-130a, and miR-19a levels...

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Detalles Bibliográficos
Autores principales: Yan, Li-Na, Zhang, Xin, Xu, Fang, Fan, Yuan-Yuan, Ge, Biao, Guo, Hui, Li, Zi-Ling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7262691/
https://www.ncbi.nlm.nih.gov/pubmed/32518782
http://dx.doi.org/10.12998/wjcc.v8.i10.1923
Descripción
Sumario:BACKGROUND: Sensitive, novel, and accurate biomarkers for the detection of physiological changes in type 2 diabetes (T2DM) at an early stage are urgently needed. AIM: To build a multi-parameter diagnostic model for the early detection of T2DM. METHODS: MiR-148b, miR-223, miR-130a, and miR-19a levels were detected by real-time polymerase chain reaction in serum of healthy controls, individuals with impaired glucose regulation, and T2DM patients. The diagnostic value of miR-148b, miR-223, miR-130a, and miR-19a, alone or in combination, was analyzed. RESULTS: The area under the curve (AUC) of miR-223, which had the best diagnostic value for discriminating the impaired glucose regulation and T2DM groups, was 0.84, and the sensitivity and specificity were 73.37% and 81.37%, respectively. The AUC of the four-miRNA signature was 0.90, and the sensitivity and specificity were 78.82% and 88.23%, respectively. In the validation set, the AUC was 0.88, and the sensitivity and specificity were 78.36% and 87.63%, respectively. CONCLUSION: In summary, we have built a multi-parameter diagnostic model consisting of miR-148b, miR-223, miR-130a, and miR-19a for the detection of T2DM. It may be a potential tool for the early detection of T2DM.