Enfermedad Cardiovascular y Diabetes Mellitus: Asociación Fisiopatológicas de los ARN largos no codificantes (ARNlnc)
Date
Subject
ARNlnc
diabetes mellitus
enfermedad cardiovascular
expresión génica
factores de riesgo
lncRNA
diabetes mellitus
cardiovascular disease
gene expression
risk factors
diabetes mellitus
enfermedad cardiovascular
expresión génica
factores de riesgo
lncRNA
diabetes mellitus
cardiovascular disease
gene expression
risk factors
Language:
Journal Title
Journal ISSN
Volume Title
Publisher
Intituto Tecnológico de Santo Domingo (INTEC)
Introducción:
La diabetes mellitus tipo 2 (DM2) y la enfermedad cardiovascular (ECV) están claramente asociadas y constituyen un problema de salud creciente, de proporción epidemiológica en todo el mundo, incluida la República Dominicana, consideradas como la nueva epidemia del siglo XXI.
Materiales y método:
Este artículo se realizó una revisión narrativa (N=76,759) de la asociación fisiopatológica de los ARN largos no codificantes (ARNlnc) entre la DM2 y ECV, comprendiendo así la evolución epidemiológica, genética y epigenética de ambas enfermedades verificando n=20 artículos.
Resultados:
Diversos ARNlnc, como ANRIL, LINC-PINT, MALAT-1, LIPCAR, SENCR y MIAT, han sido identificados en pacientes con DM2 y complicaciones cardiovasculares, sugiriendo su posible rol en la predicción de eventos cardiovasculares.
Conclusiones:
La investigación sobre los ARNlnc en el contexto de la ECV en pacientes con DM2 puede ofrecer nuevas soluciones innovadoras para abordar el alto riesgo cardiovascular asociado con la DM2.
Introduction: Type 2 diabetes mellitus (T2DM) and cardiovascular disease (CVD) are clearly associated and represent a growing health problem of epidemiological proportions worldwide, including in the Dominican Republic, and are considered the new epidemic of the 21st century. Materials and Methods: This article narrative reviews the pathophysiological association of long non-coding RNAs (lncRNAs) between T2DM and CVD, thereby understanding the epidemiological, genetic, and epigenetic evolution of both diseases. Results: Various lncRNAs, such as ANRIL, LINC-PINT, MALAT-1, LIPCAR, SENCR, and MIAT, have been identified in patients with T2DM and cardiovascular complications, suggesting their potential role in predicting cardiovascular events erifying n=20 articles. Conclusions: Research on lncRNAs in the context of CVD in patients with T2DM may offer innovative solutions to address the high cardiovascular risk associated with T2DM.
Introduction: Type 2 diabetes mellitus (T2DM) and cardiovascular disease (CVD) are clearly associated and represent a growing health problem of epidemiological proportions worldwide, including in the Dominican Republic, and are considered the new epidemic of the 21st century. Materials and Methods: This article narrative reviews the pathophysiological association of long non-coding RNAs (lncRNAs) between T2DM and CVD, thereby understanding the epidemiological, genetic, and epigenetic evolution of both diseases. Results: Various lncRNAs, such as ANRIL, LINC-PINT, MALAT-1, LIPCAR, SENCR, and MIAT, have been identified in patients with T2DM and cardiovascular complications, suggesting their potential role in predicting cardiovascular events erifying n=20 articles. Conclusions: Research on lncRNAs in the context of CVD in patients with T2DM may offer innovative solutions to address the high cardiovascular risk associated with T2DM.
Description
Type
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/publishedVersion
Source
Science and Health; Vol. 9 No. 3 (2025): Science and Health, september-december; 109-116
Ciencia y Salud; Vol. 9 Núm. 3 (2025): Ciencia y Salud, septiembre-diciembre; 109-116
2613-8824
2613-8816
10.22206/cisa.2025.v9i3
Ciencia y Salud; Vol. 9 Núm. 3 (2025): Ciencia y Salud, septiembre-diciembre; 109-116
2613-8824
2613-8816
10.22206/cisa.2025.v9i3