Unveiling the Predictive Model for Macrovascular Complications in Type 2 Diabetes Mellitus: microRNAs Expression, Lipid Profile, and Oxidative Stress Markers
Metadatos
Mostrar el registro completo del ítemAutor
Duisenbek, Ayauly; Avilés Pérez, María D.; Pérez, Miguel; Aguilar Benítez, José Miguel; Pereira Pérez, Víctor Roger; Gorts Ortega, Juan; Abdihankyzy, Ussipbek Botagoz; Yessenbekova, Arailym; López Armas, Gabriela C.; Ablaikhanova, Nurzhanyat; Olivieri, Fabiola; Escames Rosa, Germaine; Acuña Castroviejo, Darío; Rusanova Rusanova, IrynaEditorial
MDPI
Materia
type 2 diabetes mellitus cardiovascular disease T2DM macrovascular complications
Fecha
2024-11-01Referencia bibliográfica
Duisenbek, A. et. al. Int. J. Mol. Sci. 2024, 25, 11763. [https://doi.org/10.3390/ijms252111763]
Patrocinador
Research Project by the Fundación Eugenio Rodríguez Pascual (Madrid, Spain), Call 2021 (ERP-2021); CIBERfes (CB16-10-00238, ISCIII, Spain); Bolashak Program, Government of Kazakhstan, project “500 scientists” internship agreement No. 7895 and No. 8534Resumen
To assay new circulating markers related to macrovascular complications (MVC) in type 2
diabetes mellitus (T2DM), we carried out a descriptive cross-sectional study. We recruited 30 controls
(CG), 34 patients with T2DM (DG), and 28 patients with T2DM and vascular complications (DG+C);
among them, 22 presented MVC. Peripheral blood was used to determine redox status (superoxide
dismutase, SOD; catalase, CAT; glutathione reductase, GRd; glutathione peroxidase, GPx; glucose-6-
phosphate dehydrogenase, G6PD) and markers of oxidative damage (advanced oxidation protein
products, AOPP; lipid peroxidation, LPO), nitrite levels in plasma (NOx). Inflammatory markers
(IL-1β, IL-6, IL-10, IL-18, MCP-1, TNF-α) and the relative expression of c-miRNAs were analyzed. The
real-time PCR results showed that the expressions of miR-155-5p, miR-21-5p, miR-146a-3p, and miR-
210-3p were significantly higher in the DG group compared to the CG. The DG+C group presented
statistically relevant differences with CG for four miRs: the increased expression of miR-484-5p,
miR-21-5p, and miR-210-3p, and decreased expression of miR-126a-3p. Moreover, miR-126a-3p was
significantly less expressed in DG+C compared to DG. The application of binary logistic regression
analysis and construction of receiving operator characteristic curves (ROC) revealed two models with
high predictive values for vascular complications presence: (1) HbAc1, creatinine, total cholesterol
(TC), LPO, GPx, SOD, miR-126, miR-484 (Exp(B) = 0.926, chi2 = 34.093, p < 0.001; AUC = 0.913).
(2) HbAc1, creatinine, TC, IL-6, LPO, miR-126, miR-484 (Exp(B) = 0.958, Chi2 = 33.863, p < 0.001;
AUC = 0.938). Moreover, our data demonstrated that gender, TC, GPx, CAT, and miR-484 were
associated with MVC and exhibited higher predictive values (Exp(B) = 0.528, p = 0.024, Chi2 = 28.214,
AUC = 0.904) than classical variables (Exp(B) 0.462, p = 0.007, Chi2 = 18.814, AUC = 0.850). miR-126, miR-484, IL-6, SOD, CAT, and GPx participate in vascular damage development in the studied
diabetic population and should be considered for future studies.