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Published on: October 12, 2017
Increasing the complexity of lipoprotein characterization for cardiovascular risk in type 2 diabetes
Montse Guardiola1,2,3, Pere Rehues1,2,3, Núria Amigó2,3,4,5
1Departament de Medicina i Cirurgia, Unitat de Recerca en Lípids i Arteriosclerosi (URLA), Universitat Rovira i Virgili, Reus, Spain.
Insights
Cardiovascular disease risk in diabetes is high, even with normal LDL cholesterol. Understanding lipoprotein changes offers new insights into this hidden risk.
Area of Science:
- Cardiovascular Medicine
- Metabolic Disorders
- Lipidology
Background:
- Individuals with type 2 diabetes mellitus (T2DM) face a high burden of cardiovascular disease, irrespective of LDL cholesterol levels.
- Persistent atherogenic dyslipidemia, including elevated triglycerides, remnant cholesterol, smaller LDL particles, and reduced HDL cholesterol, contributes to arterial cholesterol accumulation in T2DM.
- The complex interplay between dyslipidemia and atherosclerosis in T2DM necessitates a deeper investigation into lipoprotein composition and functionality.
Purpose of the Study:
- To explore the multifaceted nature of lipoprotein characterization in understanding the hidden cardiovascular risk associated with T2DM.
- To review three distinct levels of lipoprotein analysis, from routine clinical biochemistry to advanced profiling and minor component identification.
- To emphasize the importance of integrating comprehensive lipoprotein data into population studies for ASCVD in T2DM.
Main Methods:
- Review of existing literature on lipoprotein characterization and cardiovascular risk in diabetes.
- Discussion of routine clinical biochemistry parameters relevant to lipid metabolism.
- Exploration of advanced nuclear magnetic resonance (NMR)-based lipoprotein profiling techniques.
- Examination of minor lipoprotein components and physical properties influencing arterial cholesterol deposition.
Main Results:
- Routine clinical biochemistry provides foundational lipid information but may not fully capture atherogenic risk in T2DM.
- Advanced NMR profiling offers detailed insights into lipoprotein particle size, number, and composition.
- Identification of specific lipoprotein subclasses and properties can elucidate cholesterol accumulation mechanisms in individuals with normal LDLc.
Conclusions:
- A comprehensive understanding of lipoprotein behavior, encompassing routine, advanced, and detailed analyses, is crucial for managing cardiovascular risk in T2DM.
- Integrating multi-layered lipoprotein data into population studies is essential for accurately assessing ASCVD risk in diabetic populations.
- Biotechnological advancements are needed to facilitate large-scale, methodologically diverse lipoprotein parameter determination for widespread clinical application.
Abstract:
The burden of cardiovascular disease is particularly high among individuals with diabetes, even when LDL cholesterol is normal or within the therapeutic target. Despite this, cholesterol accumulates in their arteries, in part, due to persistent atherogenic dyslipidaemia characterized by elevated triglycerides, remnant cholesterol, smaller LDL particles and reduced HDL cholesterol. The causal link between dyslipidaemia and atherosclerosis in T2DM is complex, and our contention is that a deeper understanding of lipoprotein composition and functionality, the vehicle that delivers cholesterol to the artery, will provide insight for improving our understanding of the hidden cardiovascular risk of diabetes. This narrative review covers three levels of complexity in lipoprotein characterization: 1-the information provided by routine clinical biochemistry, 2-advanced nuclear magnetic resonance (NMR)-based lipoprotein profiling and 3-the identification of minor components or physical properties of lipoproteins that can help explain arterial accumulation in individuals with normal LDLc levels, which is typically the case in individuals with T2DM. This document highlights the importance of incorporating these three layers of lipoprotein-related information into population-based studies on ASCVD in T2DM. Such an attempt should inevitably run in parallel with biotechnological solutions that allow large-scale determination of these sets of methodologically diverse parameters.
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