Unraveling the complexities of the HDL lipidome
Anatol Kontush1, Marie Lhomme, M John Chapman
1Dyslipidemia, Inflammation and Atherosclerosis Research Unit (UMR 939), National Institute for Health and Medical Research (INSERM), Paris, France; Université Pierre et Marie Curie 6, Paris, France; Groupe Hospitalier Pitié Salpétrière, AP-HP, Paris, France; Institute of Cardiometabolism and Nutrition (ICAN), Paris, France.
Insights
High-density lipoproteins (HDL) exhibit significant lipidomic heterogeneity. Understanding HDL lipid composition can reveal biomarkers for cardiovascular risk and guide the development of targeted HDL therapies.
Area of Science:
- Lipidomics
- Cardiovascular Science
- Biochemistry
Background:
- Plasma high-density lipoproteins (HDL) are complex particles with significant lipid content, primarily phospholipids.
- HDL particles display considerable heterogeneity in structure, composition, and function.
- Lipidomic studies have identified over 200 molecular lipid species within HDL.
Purpose of the Study:
- To explore the relationship between HDL structure, composition, and atheroprotective functions.
- To identify clinically relevant HDL subpopulations for targeted therapeutic development.
- To leverage HDL lipidomics for identifying biomarkers of HDL functionality and cardiovascular risk.
Main Methods:
- Utilizing lipidomic approaches to analyze the molecular composition of HDL.
- Investigating the heterogeneity of HDL particles.
- Correlating HDL composition with functional and clinical relevance.
Main Results:
- Initial lipidomic analyses have identified a vast array of molecular lipid species in HDL.
- HDL particles demonstrate significant structural and compositional diversity.
- The potential exists to link HDL subspecies to atheroprotective functions and cardiovascular risk.
Conclusions:
- Establishing direct links between HDL composition and function can identify beneficial HDL subpopulations.
- HDL lipidomics offers a pathway for developing targeted HDL-based therapies.
- Further research and resolution of technical challenges in HDL lipidomics are crucial for advancing cardiovascular and metabolic disease understanding.
Abstract:
Plasma high density lipoproteins (HDL) are small, dense, protein-rich particles compared with other lipoprotein classes; roughly half of total HDL mass is accounted for by lipid components. Phospholipids predominate in the HDL lipidome, accounting for 40-60% of total lipid, with lesser proportions of cholesteryl esters (30-40%), triglycerides (5-12%), and free cholesterol (5-10%). Lipidomic approaches have provided initial insights into the HDL lipidome with identification of over 200 individual molecular lipids species in normolipidemic HDL. Plasma HDL particles, however, reveal high levels of structural, compositional, and functional heterogeneity. Establishing direct relationships between HDL structure, composition, and atheroprotective functions bears the potential to identify clinically relevant HDL subpopulations. Furthermore, development of HDL-based therapies designed to target beneficial subspecies within the circulating HDL pool can be facilitated using this approach. HDL lipidomics can equally contribute to the identification of biomarkers of both normal and deficient HDL functionality, which may prove useful as biomarkers of cardiovascular risk. However, numerous technical issues remain to be addressed in order to make such developments possible. With all technical questions resolved, quantitative analysis of the molecular components of the HDL lipidome will contribute to expand our knowledge of cardiovascular and metabolic diseases.
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