Circulating miRNAs as predictive biomarkers of type 2 diabetes mellitus development in coronary heart disease patients fromt he CORDIOPREV study

Autor: Jiménez Lucena, Rosa, Rangel Zúñiga, Oriol Alberto, Alcalá Díaz, Juan Francisco, López Moreno, Javier, Roncero Ramos, Irene, Molina Abril, Helena, Yubero Serrano, Elena María, Caballero Villarraso, Javier, Delgado Lista, Javier, Pastor Castaño, Justo, Ordovás Muñoz, José María, Pérez Martínez, Pablo, Camargo García, Antonio, López Miranda, José
Přispěvatelé: Universidad de Sevilla. Departamento de Matemática Aplicada I (ETSII), Universidad de Sevilla. TIC245: Topological Pattern Analysis and Recognition, Junta de Andalucía, Ministerio de Medio Ambiente y Medio Rural y Marino. España, Ministerio de Ciencia e Innovación (MICIN). España, Ministerio de Economía y Competitividad (MINECO). España, European Commission (EC). Fondo Europeo de Desarrollo Regional (FEDER), Department of AgricultureAgricultural Research Service. United States, Universidad de Sevilla
Rok vydání: 2018
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Zdroj: idUS. Depósito de Investigación de la Universidad de Sevilla
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Popis: Circulating microRNAs (miRNAs) have been proposed as type 2 diabetes biomarkers, and they may be a more sensitive way to predict development of the disease than the currently used tools. Our aim was to identify whether circulating miRNAs, added to clinical and biochemical markers, yielded better potential for predicting type 2 diabetes. The study included 462 non-diabetic patients at baseline in the CORDIOPREV study. After a median follow-up of 60 months, 107 of them developed type 2 diabetes. Plasma levels of 24 miRNAs were measured at baseline by qRT-PCR, and other strong biomarkers to predict diabetes were determined. The ROC analysis identified 9 miRNAs, which, added to HbA1c, have a greater predictive value in early diagnosis of type 2 diabetes (AUC = 0.8342) than HbA1c alone (AUC = 0.6950). The miRNA and HbA1cbased model did not improve when the FINDRISC was included (AUC = 0.8293). Cox regression analyses showed that patients with low miR-103, miR-28-3p, miR-29a, and miR-9 and high miR-30a-5p and miR-150 circulating levels have a higher risk of disease (HR = 11.27; 95% CI = 2.61–48.65). Our results suggest that circulating miRNAs could potentially be used as a new tool for predicting the development of type 2 diabetes in clinical practice.
Databáze: OpenAIRE
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