Preprint Article Version 1 This version is not peer-reviewed

Unveiling the Predictive Model for Macrovascular Complications in Type 2 Diabetes Mellitus: microRNAs Expression, Lipid Profile and Oxidative Stress Markers

Ayauly Duisenbek
,
María D. Avilés Pérez
ORCID logo ,
Miguel Pérez
,
José Miguel Aguilar Benitez
ORCID logo ,
Víctor Roger Pereira Pérez
ORCID logo ,
Juan Gorts Ortega
ORCID logo ,
Botagoz Ussipbek
,
Arailym Yessenbekova
,
Gabriela C. Lopez-Armas
ORCID logo ,
Nurzhanat Ablaikhanova
,
Fabiola Olivieri
,
Germaine Escames
ORCID logo ,
Darío Acuña-Castroviejo
ORCID logo ,
Iryna Rusanova
*
Version 1 : Received: 2 October 2024 / Approved: 2 October 2024 / Online: 2 October 2024 (14:09:48 CEST)

How to cite: Duisenbek, A.; Avilés Pérez, M. D.; Pérez, M.; Aguilar Benitez, J. M.; Pereira Pérez, V. R.; Ortega, J. G.; Ussipbek, B.; Yessenbekova, A.; Lopez-Armas, G. C.; Ablaikhanova, N.; Olivieri, F.; Escames, G.; Acuña-Castroviejo, D.; Rusanova, I. Unveiling the Predictive Model for Macrovascular Complications in Type 2 Diabetes Mellitus: microRNAs Expression, Lipid Profile and Oxidative Stress Markers. Preprints 2024, 2024100180. https://doi.org/10.20944/preprints202410.0180.v1 Duisenbek, A.; Avilés Pérez, M. D.; Pérez, M.; Aguilar Benitez, J. M.; Pereira Pérez, V. R.; Ortega, J. G.; Ussipbek, B.; Yessenbekova, A.; Lopez-Armas, G. C.; Ablaikhanova, N.; Olivieri, F.; Escames, G.; Acuña-Castroviejo, D.; Rusanova, I. Unveiling the Predictive Model for Macrovascular Complications in Type 2 Diabetes Mellitus: microRNAs Expression, Lipid Profile and Oxidative Stress Markers. Preprints 2024, 2024100180. https://doi.org/10.20944/preprints202410.0180.v1

Abstract

To evaluate new circulating markers related to macrovascular complications (MVC) in type 2 diabetes mellitus (T2DM), 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. Pe-ripheral 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 pe-roxidation, LPO). 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 CG. 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 for 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 value for vascular complications presence: 1) HbAc1, creatinine, total cholesterol (TC), LPO, GPx, SOD, miR-126, miR-484. 2) HbAc1, creatinine, TC, IL-6, LPO, miR-126, miR-484. Moreover, our data demonstrated that gender, TC, GPx, CAT, and miR-484 were associated with MVC and exhibited higher predictive values than classical variables. 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.

Keywords

type 2 diabetes mellitus; cardiovascular disease; T2DM macrovascular complications; microRNA; oxidative stress; inflammation

Subject

Biology and Life Sciences, Endocrinology and Metabolism

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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