RT Journal Article
T1 A plasma circulating miRNAs profile predicts type 2 diabetes mellitus and prediabetes: from the CORDIOPREV study.
A1 Jimenez-Lucena, Rosa
A1 Camargo, Antonio
A1 Alcala-Diaz, Juan Francisco
A1 Romero-Baldonado, Cristina
A1 Luque, Raul Miguel
A1 van Ommen, Ben
A1 Delgado-Lista, Javier
A1 Ordovas, Jose Maria
A1 Perez-Martinez, Pablo
A1 Rangel-Zuñiga, Oriol Alberto
A1 Lopez-Miranda, Jose
K1 Biomarkers
K1 Cardiovascular Diseases
K1 Cell-Free Nucleic Acids
K1 Diabetes Mellitus, Type 2
K1 Diet, Fat-Restricted
K1 Diet, Mediterranean
AB We aimed to explore whether changes in circulating levels of miRNAs according to type 2 diabetes mellitus (T2DM) or prediabetes status could be used as biomarkers to evaluate the risk of developing the disease. The study included 462 patients without T2DM at baseline from the CORDIOPREV trial. After a median follow-up of 60 months, 107 of the subjects developed T2DM, 30 developed prediabetes, 223 maintained prediabetes and 78 remained disease-free. Plasma levels of four miRNAs related to insulin signaling and beta-cell function were measured by RT-PCR. We analyzed the relationship between miRNAs levels and insulin signaling and release indexes at baseline and after the follow-up period. The risk of developing disease based on tertiles (T1-T2-T3) of baseline miRNAs levels was evaluated by COX analysis. Thus, we observed higher miR-150 and miR-30a-5p and lower miR-15a and miR-375 baseline levels in subjects with T2DM than in disease-free subjects. Patients with high miR-150 and miR-30a-5p baseline levels had lower disposition index (p = 0.047 and p = 0.007, respectively). The higher risk of disease was associated with high levels (T3) of miR-150 and miR-30a-5p (HRT3-T1 = 4.218 and HRT3-T1 = 2.527, respectively) and low levels (T1) of miR-15a and miR-375 (HRT1-T3 = 3.269 and HRT1-T3 = 1.604, respectively). In conclusion, our study showed that deregulated plasma levels of miR-150, miR-30a-5p, miR-15a, and miR-375 were observed years before the onset of T2DM and pre-DM and could be used to evaluate the risk of developing the disease, which may improve prediction and prevention among individuals at high risk for T2DM.
PB Nature Publishing Group
YR 2018
FD 2018-09-19
LK http://hdl.handle.net/10668/13366
UL http://hdl.handle.net/10668/13366
LA en
NO Jiménez-Lucena R, Camargo A, Alcalá-Diaz JF, Romero-Baldonado C, Luque RM, van Ommen B, et al. A plasma circulating miRNAs profile predicts type 2 diabetes mellitus and prediabetes: from the CORDIOPREV study. Exp Mol Med. 2018 Dec 26;50(12):1-12
NO The study was also partly supported by research grants from the Ministerio de Ciencia e Innovacion (AGL2009-122270 to J.L.-M.); Ministerio de Economía y Competitividad (AGL2012/39615, PIE14/00005, PIE 14/00031 to J.L.-M.; and AGL2015-67896-P to J.L.-M. and A.C.); Consejería de Innovación, Ciencia y Empresa, Proyectos de Investigación de Excelencia, Junta de Andalucía (CVI-7450 to J.L.-M.); and Fondo Europeo de Desarrollo Regional (FEDER). This work was conducted within the project Fatty Acid Metabolism Interlinking Diet with Chronic Disease Risk, funded by research grant from the European Union (PCIN-2016-084 to J.L.-M.) and the U.S. Department of Agriculture-Agricultural Research Service (ARS), under Agreement No. 58-1950-4-003 (O.-J.M.). Antonio Camargo is supported by an ISCIII research contract (Programa Miguel-Servet CP14/00114).
DS RISalud
RD Apr 7, 2025