Skip to content
naulon

No retraction, correction or concern found when last checked on Oct 21, 2026.

HDL particle number and size as predictors of cardiovascular disease

Anatol Kontush

Frontiers in Pharmacology · 2015 · Review

doi:10.3389/fphar.2015.00218

Abstract

Previous studies indicate that reduced concentrations of circulating high-density lipoprotein (HDL) particles can be superior to HDL-cholesterol (HDL-C) levels as a predictor of cardiovascular disease. Measurements of HDL particle numbers, therefore, bear a potential for the improved assessment of cardiovascular risk. Furthermore, such measurement can be relevant for the evaluation of novel therapeutic approaches targeting HDL. Modern in-depth analyses of HDL particle profile may further improve evaluation of cardiovascular risk. Although clinical relevance of circulating concentrations of HDL subpopulations to cardiovascular disease remains controversial, the negative relationship between the number of large HDL particles and cardiovascular disease suggests that assessment of HDL particle profile can be clinically useful. Reduced mean HDL size is equally associated with cardiovascular disease in large-scale clinical studies. Since HDL-C is primarily carried in the circulation by large, lipid-rich HDL particles, the inverse relationship between HDL size and cardiovascular risk can be secondary to those established for plasma levels of HDL particles, HDL-C, and large HDL. The epidemiological data thereby suggest that HDL particle number may represent a more relevant therapeutic target as compared to HDL-C.

Full text

From PubMed Central, U.S. National Library of Medicine, as current on Oct 21, 2026. Paragraph numbers are ours, so an answer can point at one.

However, considerable residual risk exists even at high plasma levels of HDL-C, suggesting that other HDL-associated metrics might provide better assessment of the relationship between HDL metabolism and cardiovascular disease. Moreover, a series of recent large-scale HDL-C-raising trials failed to reduce cardiovascular disease, additionally demonstrating limitations of HDL-C as a therapeutic target. Metrics of HDL functionality represent an obvious alternative to HDL-C; their reliable assessment is, however, challenging in the clinical routine, reflecting their limited use at present. Other, than HDL-C, biomarkers of HDL metabolism frequently employed in the clinic include circulating levels of apolipoprotein A-I (apoA-I, the major HDL protein), concentrations of HDL particles, and mean HDL size. Several large-scale trials have systematically evaluated potential clinical value of these biomarkers. The present article reviews data obtained for the associations between cardiovascular risk and circulating concentrations (numbers), and mean size of HDL particles in humans.

Total Number of HDL Particles

Several studies evaluated the relationship of cardiovascular risk with total number of HDL particles in the circulation (Table 1).

In a nested, case–control, secondary prevention Veterans Affairs High-Density Lipoprotein Intervention Trial (VA-HIT), elevated number of HDL particles was a significant predictor of reduced risk of coronary heart disease (CHD) in subjects treated with gemfibrozil or placebo. Indeed, increment in total HDL particle number of 1 standard deviation (SD) decreased CHD risk by 29% during a 5-year follow-up (p = 0.0001). By contrast, circulating HDL-C and apoA-I levels were unable to predict CHD events in this study (risk reduction of 5%, p = 0.42 and 9%, p = 0.18, respectively).

Similar results were obtained in a primary prevention Multiple Risk Factor Intervention Trial (MRFIT) of CHD mortality in men at high risk of CHD. In two groups of middle-aged men who died or did not die of CHD over 18 years of follow-up, elevated total HDL particle number at baseline significantly reduced CHD death by 50% for the comparison between the top and the bottom quartiles. As in the VA-HIT study, levels of HDL-C were not associated with the endpoint (risk reduction of 0% for the same comparison).

In a case–control European Prospective Investigation into Cancer and Nutrition (EPIC)-Norfolk study of apparently healthy men and women, total HDL particle concentration at baseline was significantly diminished in CHD cases relative to controls. As a consequence, HDL particle concentrations in the top quartile decreased coronary artery disease (CAD) risk by 50% relative to the bottom quartile following adjustment for plasma apoB and triglyceride levels.

In a randomized Heart Protection Study (HPS) trial of statin and antioxidant therapy in high-risk men and women, increment in total HDL particle number of 1 SD was associated with a significant risk reduction of 11% for major occlusive coronary events after adjustment for low density lipoprotein (LDL) particle number. Associations between cardiovascular disease and plasma HDL-C and apoA-I levels were slightly weaker, albeit significant (risk reduction of 9% for each of them). Interestingly, inverse associations of other cardiac events assessed in this study with biomarkers of HDL metabolism were only significant for HDL particle number (risk reduction of 16%) but not for HDL-C and apoA-I levels (risk reduction of 6 and 8%, respectively).

In the Multi-Ethnic Study of Atherosclerosis (MESA) which evaluated men and women without baseline CHD or lipid altering therapy, elevated number of HDL particles revealed an inverse association with both incident CHD events (significant risk reduction of 30% per 1 SD increment in the particle number) and carotid intima-media thickness (cIMT; ). These associations were not affected by adjustment for LDL particle number (risk reduction of 32% per 1 SD increment in the particle number). Plasma HDL-C concentrations revealed similar associations with CHD (significant risk reduction of 26%) and cIMT, which were, however, markedly attenuated after adjustment for plasma levels of atherogenic lipoproteins (non-significant risk reduction of 3%).

In a randomized Justification for the Use of statins in Prevention: an Intervention Trial Evaluating Rosuvastatin (JUPITER) which enrolled subjects without cardiovascular disease assigned to either rosuvastatin or placebo, on-treatment HDL particle number was significantly associated with a composite cardiovascular endpoint in subjects randomized to the statin (risk reduction of 27% per 1 SD following adjustment for traditional cardiovascular risk factors; ). Similar associations evaluated for circulating HDL-C and apoA-I levels were not significant (risk reductions of 18 and 14%, respectively). In subjects randomized to placebo, on-treatment concentrations of HDL particles, HDL-C, and apoA-I revealed similar inverse association with the endpoint (significant risk reductions of 19, 25, and 21%, respectively). Interestingly, the association between on-treatment HDL particle numbers and cardiovascular endpoint remained significant after adjustment for HDL-C levels in this study.

Particle Numbers of Large vs. Small HDL

HDL particles are highly heterogeneous in structure, composition, metabolism, and function. Distinct HDL subpopulations might, therefore, exert differential effects on atherosclerosis. As a consequence, plasma concentrations of specific HDL subpopulations can be hypothesized to reveal stronger associations with cardiovascular risk as compared to total HDL particle number.

NMR measurements allow distinguishing between large (size 9.4–14.0 nm), medium (8.3–9.3 nm), and small (7.3–8.2 nm) HDL particles. Among these HDL subpopulations, levels of large HDL frequently display inverse relationships with cardiovascular risk in univariate analyses, whereas concentrations of small HDL particles typically reveal positive correlations with the risk. Circulating concentrations of large and small HDL particles as well as those of large HDL particles and total LDL particles as measured by NMR are, however, known to be negatively correlated. Such multiple confounding renders data interpretation controversial, complicating proper assessment of the relative roles of distinct HDL subpopulations in cardioprotection.

As a comparison, particle concentrations of HDL subpopulations can be assessed by the ion mobility assay which readily separates small (7.7–10.5 nm) and large (10.5–14.5 nm) HDL. Such evaluation reveals comparable associations of small and large particles with cardiovascular risk (hazard ratios per 1 SD of 0.78 and 0.75, respectively; ).

The inverse relationship between particle number of large HDL and cardiovascular disease is further consistent with data on plasma levels (as mg apoA-I/dl) of HDL subpopulations separated by 2D gel electrophoresis. Indeed, circulating concentrations of large alpha-1 HDL are consistently associated with reduced cardiovascular risk. On the other hand, levels of small HDL particles assessed by this methodology are frequently elevated in CHD patients. Importantly, the power of large alpha-1 HDL to predict CHD risk is typically superior to that of HDL-C in these studies.

Mean HDL Size

Mean HDL size can be regarded as an integrative measure of HDL heterogeneity and particle profile. This metric of HDL metabolism can be assessed by both NMR and ion mobility measurements and is capable of predicting cardiovascular risk. An association between mean HDL size and cardiovascular risk is typically inverse. When HDL size is used to predict incident cardiovascular disease, hazard ratios obtained are comparable to those calculated using HDL-C and can be predominantly accounted for by traditional cardiovascular risk factors. Consistent with this conclusion, adjustment for circulating concentrations of apoB and triglycerides abolished the association between mean HDL size and CAD risk in the EPIC-Norfolk study, despite reduction in this parameter in cases relative to controls.

Interestingly, ion mobility measurements allow distinguishing between two independent components of the association between HDL size and cardiovascular disease. The first component appears to represent an atherogenic lipoprotein phenotype, which includes increased concentrations of triglycerides and small LDL, whereas the second component is related to elevated levels of small HDL particles.

Intriguingly, very high mean HDL size can be paradoxically associated with elevated cardiovascular risk as observed in the EPIC-Norfolk study after multiple adjustment; this association resembles those reported between cardiovascular disease and very high levels of HDL-C as observed, for example, in the IDEAL study.

Effects of Therapeutic Interventions on HDL Particle Concentrations

Therapeutic interventions aimed at increasing HDL-C levels, correcting atherogenic dyslipidemia, and reducing cardiovascular risk may markedly impact HDL particle concentrations. Thus, both niacin and cholesteryl ester transfer protein (CETP) inhibitors potently raise HDL-C and preferentially increase circulating levels of large HDL, augmenting mean HDL size. By contrast, effects of niacin and CETP inhibitors on total number of HDL particles are weaker, consistent with their weaker effects on plasma concentrations of apoA-I.

Treatment with statins appears to result in comparable elevations in HDL-C and total HDL particle number. On the other hand, HDL-C-raising effects of fibrates are typically accompanied by preferential elevation of circulating levels of small HDL.

Concluding Remarks

Available data reveal that diminished HDL particle number can be superior to reduced HDL-C levels in terms of cardiovascular risk prediction. This conclusion is supported by the results of the large-scale VA-HIT, MRFIT, HPS, MESA, and JUPITER trials. Measurements of circulating concentrations of HDL particles can, therefore, be useful to improve clinical assessment of cardiovascular risk. This approach can also contribute to the evaluation of novel HDL-targeted therapies, which include CETP inhibitors, peroxisome proliferator-activated receptor (PPAR) activators, and reconstituted HDL.

Further improvement in the evaluation of cardiovascular risk can be provided by in-depth analyses of the HDL particle profile. Although clinical relevance of circulating concentrations of HDL subpopulations needs to be firmly established, the negative association between the number of large HDL particles and cardiovascular risk suggests that clinical evaluation of the HDL particle profile can be useful.

Diminished mean HDL size represents another biomarker of HDL metabolism associated with cardiovascular disease in large-scale clinical studies. However, available data indicate that this relationship is secondary to those established for plasma levels of HDL particles, HDL-C and large HDL; indeed, HDL-C is primarily carried in the circulation by large, buoyant, lipid-rich HDL.

The epidemiological data thereby suggest that HDL particle number can be superior to HDL-C as a therapeutic target. This conclusion is consistent with the capacity of all HDL particles to exert a variety of atheroprotective biological activities, reflecting a wide spectrum of molecular protein, and lipid species present in HDL. High compositional heterogeneity of HDL directly results in functional heterogeneity among HDL particles, with small, dense, and protein-rich HDL typically displaying potent biological activities. The relative importance of different biological activities of HDL for atheroprotection remains presently unclear, raising a question of the proper evaluation of HDL function in vitro. Measurement of any individual HDL activity will obviously provide only limited information on all the aspects of the functionality of the circulating HDL pool. Evaluation of total number of circulating HDL particles may provide a surrogate biomarker reflecting anti-atherogenic HDL function, assuming a proportional association between the two. This hypothesis will require rigorous assessment in clinical and epidemiological studies of HDL-targeted therapies, which have failed to provide unequivocal data in this regard up to now.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References 47

  1. 1.

    Arsenault B. J. Lemieux I. Despres J. P. Gagnon P. Wareham N. J. Stroes E. S. (2009 ). HDL particle size and the risk of coronary heart disease in apparently healthy men and women: the EPIC-Norfolk prospective population study. Atherosclerosis 206 276–281.

    Not in our library10.1016/j.atherosclerosis.2009.01.044

  2. 2.

    Asztalos B. F. Batista M. Horvath K. V. Cox C. E. Dallal G. E. Morse J. S. (2003 ). Change in alpha1 HDL concentration predicts progression in coronary artery stenosis. Arterioscler. Thromb. Vasc. Biol. 23 847–852.

    Not in our library10.1161/01.atv.0000066133.32063.bb

  3. 3.

    Asztalos B. F. Collins D. Cupples L. A. Demissie S. Horvath K. V. Bloomfield H. E. (2005 ). Value of high-density lipoprotein (HDL) subpopulations in predicting recurrent cardiovascular events in the veterans affairs HDL intervention trial. Arterioscler. Thromb. Vasc. Biol. 25 2185–2191.

    Not in our library10.1161/01.atv.0000183727.90611.4f

  4. 4.

    Asztalos B. F. Cupples L. A. Demissie S. Horvath K. V. Cox C. E. Batista M. C. (2004 ). High-density lipoprotein subpopulation profile and coronary heart disease prevalence in male participants of the Framingham Offspring Study. Arterioscler. Thromb. Vasc. Biol. 24 2181–2187.

    Not in our library10.1161/01.atv.0000146325.93749.a8

  5. 5.

    Asztalos B. F. Schaefer E. J. (2003a ). HDL in atherosclerosis: actor or bystander? Atheroscler. Suppl. 4 21–29.

    Not in our library10.1016/s1567-5688(03)00006-0

  6. 6.

    Asztalos B. F. Schaefer E. J. (2003b ). High-density lipoprotein subpopulations in pathologic conditions. Am. J. Cardiol. 91 12E–17E.

    Not in our library10.1016/s0002-9149(02)03383-0

  7. 7.

    Ballantyne C. M. Miller M. Niesor E. J. Burgess T. Kallend D. Stein E. A. (2012 ). Effect of dalcetrapib plus pravastatin on lipoprotein metabolism and high-density lipoprotein composition and function in dyslipidemic patients: results of a phase IIb dose-ranging study. Am. Heart. J. 163 515–521:e1–e3.

    Not in our library10.1016/j.ahj.2011.11.017

  8. 8.

    Brousseau M. E. Diffenderfer M. R. Millar J. S. Nartsupha C. Asztalos B. F. Welty F. K. (2005 ). Effects of cholesteryl ester transfer protein inhibition on high-density lipoprotein subspecies. Apolipoprotein A-I metabolism, and fecal sterol excretion. Arterioscler. Thromb. Vasc. Biol. 25 1057–1064.

    Not in our library10.1161/01.atv.0000161928.16334.dd

  9. 9.

    Camont L. Chapman M. J. Kontush A. (2011 ). Biological activities of HDL subpopulations and their relevance to cardiovascular disease. Trends Mol. Med. 17 594–603.

    Not in our library10.1016/j.molmed.2011.05.013

  10. 10.

    Camont L. Lhomme M. Rached F. Le Goff W. Negre-Salvayre A. Salvayre R. (2013 ). Small, dense high-density lipoprotein-3 particles are enriched in negatively charged phospholipids: relevance to cellular cholesterol efflux, antioxidative, antithrombotic, anti-inflammatory, and antiapoptotic functionalities. Arterioscler. Thromb. Vasc. Biol. 33 2715–2723.

    Not in our library10.1161/atvbaha.113.301468

  11. 11.

    Davidson W. S. Silva R. A. Chantepie S. Lagor W. R. Chapman M. J. Kontush A. (2009 ). Proteomic analysis of defined HDL subpopulations reveals particle-specific protein clusters: relevance to antioxidative function. Arterioscler. Thromb. Vasc. Biol. 29 870–876.

    Not in our library10.1161/atvbaha.109.186031

  12. 12.

    El Harchaoui K. Arsenault B. J. Franssen R. Despres J. P. Hovingh G. K. Stroes E. S. (2009 ). High-density lipoprotein particle size and concentration and coronary risk. Ann. Intern. Med. 150 84–93.

    Not in our library10.7326/0003-4819-150-2-200901200-00006

  13. 13.

    Festa A. Williams K. Hanley A. J. G. Otvos J. D. Goff D. C. Wagenknecht L. E. (2005 ). Nuclear magnetic resonance lipoprotein abnormalities in prediabetic subjects in the insulin resistance atherosclerosis study. Circulation 111 3465–3472.

    Not in our library10.1161/circulationaha.104.512079

  14. 14.

    Garvey W. T. Kwon S. Zheng D. Shaughnessy S. Wallace P. Hutto A. (2003 ). Effects of insulin resistance and type 2 diabetes on lipoprotein subclass particle size and concentration determined by nuclear magnetic resonance. Diabetes Metab. Res. Rev. 52 453–462.

    Not in our library10.2337/diabetes.52.2.453

  15. 15.

    Goff D. C. Jr. D’Agostino R. B. Jr. Haffner S. M. Otvos J. D. (2005 ). Insulin resistance and adiposity influence lipoprotein size and subclass concentrations. Results from the insulin resistance atherosclerosis study. Metabolism 54 264–270.

    Not in our library10.1016/j.metabol.2004.09.002

  16. 16.

    Gordon S. Durairaj A. Lu J. L. Davidson W. S. (2010a ). High-density lipoprotein proteomics: identifying new drug targets and biomarkers by understanding functionality. Curr. Cardiovasc. Risk Rep. 4 1–8.

    Not in our library10.1007/s12170-009-0069-9

  17. 17.

    Gordon S. M. Deng J. Lu L. J. Davidson W. S. (2010b ). Proteomic characterization of human plasma high density lipoprotein fractionated by gel filtration chromatography. J. Proteome Res. 9 5239–5249.

    Not in our library10.1021/pr100520x

  18. 18.

    Heinecke J. W. (2009 ). The HDL proteome: a marker - and perhaps mediator - of coronary artery disease. J. Lipid Res. 50 S167–S171.

    Not in our library10.1194/jlr.r800097-jlr200

  19. 19.

    Hovingh G. K. Rader D. J. Hegele R. A. (2015 ). HDL re-examined. Curr. Opin. Lipidol. 26 127–132.

    Not in our library10.1097/mol.0000000000000161

  20. 20.

    Jeyarajah E. J. Cromwell W. C. Otvos J. D. (2006 ). Lipoprotein particle analysis by nuclear magnetic resonance spectroscopy. Clin. Lab. Med. 26 847–870.

    Not in our library10.1016/j.cll.2006.07.006

  21. 21.

    Kathiresan S. Otvos J. D. Sullivan L. M. Keyes M. J. Schaefer E. J. Wilson P. W. (2006 ). Increased small low-density lipoprotein particle number: a prominent feature of the metabolic syndrome in the Framingham Heart Study. Circulation 113 20–29.

    Not in our library10.1161/circulationaha.105.567107

  22. 22.

    Kontush A. Chapman M. J. (2006a ). Antiatherogenic small, dense HDL - guardian angel of the arterial wall? Nat. Clin. Pract. Cardiovasc. Med. 3 144–153.

    Not in our library10.1038/ncpcardio0500

  23. 23.

    Kontush A. Chapman M. J. (2006b ). Functionally defective HDL: a new therapeutic target at the crossroads of dyslipidemia, inflammation and atherosclerosis. Pharmacol. Rev. 3 342–374.

    Not in our library10.1124/pr.58.3.1

  24. 24.

    Krauss R. M. Wojnooski K. Orr J. Geaney J. C. Pinto C. A. Liu Y. (2012 ). Changes in lipoprotein subfraction concentration and composition in healthy individuals treated with the CETP inhibitor anacetrapib. J. Lipid Res. 53 540–547.

    Not in our library10.1194/jlr.m018010

  25. 25.

    Kuller L. Arnold A. Tracy R. Otvos J. Burke G. Psaty B. (2002 ). Nuclear magnetic resonance spectroscopy of lipoproteins and risk of coronary heart disease in the Cardiovascular Health Study. Arterioscler. Thromb. Vasc. Biol. 22 1175–1180.

    Not in our library10.1161/01.atv.0000022015.97341.3a

  26. 26.

    Kuller L. H. Grandits G. Cohen J. D. Neaton J. D. Prineas R. Multiple Risk Factor Intervention Trial Research Group (2007 ). Lipoprotein particles, insulin, adiponectin, C-reactive protein and risk of coronary heart disease among men with metabolic syndrome. Atherosclerosis 195 122–128.

    Not in our library10.1016/j.atherosclerosis.2006.09.001

  27. 27.

    Kuvin J. T. Dave D. M. Sliney K. A. Mooney P. Patel A. R. Kimmelstiel C. D. (2006 ). Effects of extended-release niacin on lipoprotein particle size, distribution, and inflammatory markers in patients with coronary artery disease. Am. J. Cardiol. 98 743–745.

    Not in our library10.1016/j.amjcard.2006.04.011

  28. 28.

    Lamon-Fava S. Herrington D. M. Reboussin D. M. Sherman M. Horvath K. V. Cupples L. A. (2008 ). Plasma levels of HDL subpopulations and remnant lipoproteins predict the extent of angiographically-defined coronary artery disease in postmenopausal women. Arterioscler. Thromb. Vasc. Biol. 28 575–579.

    Not in our library10.1161/atvbaha.107.157123

  29. 29.

    Le N. A. Jin R. Tomassini J. E. Tershakovec A. M. Neff D. R. Wilson P. W. (2013 ). Changes in lipoprotein particle number with ezetimibe/simvastatin coadministered with extended-release niacin in hyperlipidemic patients. J. Am. Heart. Assoc. 2:e000037

    Not in our library10.1161/jaha.113.000037

  30. 30.

    Mackey R. H. Greenland P. Goff D. C. Jr. Lloyd-Jones D. Sibley C. T. Mora S. (2012 ). High-density lipoprotein cholesterol and particle concentrations, carotid atherosclerosis, and coronary events: MESA (Multi-Ethnic Study of Atherosclerosis). J. Am. Coll. Cardiol. 60 508–516.

    Not in our library10.1016/j.jacc.2012.03.060

  31. 31.

    Mallol R. Amigo N. Rodriguez M. A. Heras M. Vinaixa M. Plana N. (2015 ). Liposcale: a novel advanced lipoprotein test based on 2D diffusion-ordered 1H NMR spectroscopy. J. Lipid Res. 56 737–746.

    Not in our library10.1194/jlr.d050120

  32. 32.

    Matyus S. P. Braun P. J. Wolak-Dinsmore J. Saenger A. K. Jeyarajah E. J. Shalaurova I. (2015 ). HDL particle number measured on the Vantera(R), the first clinical NMR analyzer. Clin. Biochem. 48 148–155.

    Not in our library10.1016/j.clinbiochem.2014.11.017

  33. 33.

    Mora S. Glynn R. J. Ridker P. M. (2013 ). High-density lipoprotein cholesterol, size, particle number, and residual vascular risk after potent statin therapy. Circulation 128 1189–1197.

    Not in our library10.1161/circulationaha.113.002671

  34. 34.

    Mora S. Otvos J. D. Rifai N. Rosenson R. S. Buring J. E. Ridker P. M. (2009 ). Lipoprotein particle profiles by nuclear magnetic resonance compared with standard lipids and apolipoproteins in predicting incident cardiovascular disease in women. Circulation 119 931–939.

    Not in our library10.1161/circulationaha.108.816181

  35. 35.

    Mora S. Szklo M. Otvos J. D. Greenland P. Psaty B. M. Goff D. C. (2007 ). LDL particle subclasses. LDL particle size, and carotid atherosclerosis in the Multi-Ethnic Study of Atherosclerosis (MESA). Atherosclerosis 192 211–217.

    Not in our library10.1016/j.atherosclerosis.2006.05.007

  36. 36.

    Musunuru K. Orho-Melander M. Caulfield M. P. Li S. Salameh W. A. Reitz R. E. (2009 ). Ion mobility analysis of lipoprotein subfractions identifies three independent axes of cardiovascular risk. Arterioscler. Thromb. Vasc. Biol. 29 1975–1980.

    Not in our library10.1161/atvbaha.109.190405

  37. 37.

    Otvos J. D. (2002 ). Measurement of lipoprotein subclass profiles by nuclear magnetic resonance spectroscopy. Clin. Lab. 48 171–180.

    Not in our library

  38. 38.

    Otvos J. D. Collins D. Freedman D. S. Shalaurova I. Schaefer E. J. Mcnamara J. R. (2006 ). Low-density lipoprotein and high-density lipoprotein particle subclasses predict coronary events and are favorably changed by gemfibrozil therapy in the Veterans Affairs High-Density Lipoprotein Intervention Trial. Circulation 113 1556–1563.

    Not in our library10.1161/circulationaha.105.565135

  39. 39.

    Parish S. Offer A. Clarke R. Hopewell J. C. Hill M. R. Otvos J. D. (2012 ). Lipids and lipoproteins and risk of different vascular events in the MRC/BHF Heart Protection Study. Circulation 125 2469–2478.

    Not in our library10.1161/circulationaha.111.073684

  40. 40.

    Riwanto M. Landmesser U. (2013 ). High density lipoproteins and endothelial functions: mechanistic insights and alterations in cardiovascular disease. J. Lipid Res. 54 3227–3243.

    Not in our library10.1194/jlr.r037762

All 47 references

Cited by papers we hold 1

Reads

Read by people on this page

None yet.

Checked or read by AI through naulon

None yet.

A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.

Are you an author?

Is this your paper?

Claim it to add your note and be paid when agents cite it. Free.