RT Journal Article
T1 Circulating miRNAs as Predictive Biomarkers of Type 2 Diabetes Mellitus Development in Coronary Heart Disease Patients from the CORDIOPREV Study.
A1 Jiménez-Lucena, Rosa
A1 Rangel-Zúñiga, Oriol Alberto
A1 Alcalá-Díaz, Juan Francisco
A1 López-Moreno, Javier
A1 Roncero-Ramos, Irene
A1 Molina-Abril, Helena
A1 Yubero-Serrano, Elena Maria
A1 Caballero-Villarraso, Javier
A1 Delgado-Lista, Javier
A1 Castaño, Justo Pastor
A1 Ordovás, Jose Maria
A1 Pérez-Martinez, Pablo
A1 Camargo, Antonio
A1 López-Miranda, José
K1 biomarkers
K1 miRNAs
K1 predictive models
K1 type 2 diabetes mellitus
AB 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 HbA1c-based 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.
SN 2162-2531
YR 2018
FD 2018-05-08
LK https://hdl.handle.net/10668/25788
UL https://hdl.handle.net/10668/25788
LA en
DS RISalud
RD Apr 6, 2025