(Circulation. 2001;104:2295.)
© 2001 American Heart Association, Inc.
Clinical Investigations and Reports |
From the Department of Food Sciences and Nutrition, Laval University, and the Lipid Research Center (A.C.S.-P., I.L.R., J.-P.D., B.L.), CHUL Research Center; the Quebec Heart Institute (B.C., G.R.D., J.-P.D.), Laval Hospital; and the Department of Social and Preventive Medicine (P.-M.B.), Laval University, Québec, Canada.
Reprint requests to Benoît Lamarche, PhD, CHUL Research Center, 2705 Laurier Blvd, Ste-Foy, Québec, G1V 4G2, Canada. E-mail benoit.lamarche{at}crchul.ulaval.ca
| Abstract |
|---|
|
|
|---|
Methods and Results LDL particles were characterized by polyacrylamide gradient gel electrophoresis (PAGGE) in a cohort of 2034 men of the Quebec Cardiovascular Study. All men were initially free of IHD and were followed up for a period of 5 years, during which 108 first IHD events were recorded. Among all LDL characteristics investigated by PAGGE, including LDL peak particle size, the cholesterol concentration in LDL particles with a diameter smaller than 255 Å showed the strongest association with the risk of IHD (relative risk=4.6 in men in the third vs first tertile of the distribution, P<0.001). Multivariate logistic and survival models indicated that the relationship between LDL cholesterol levels in particles with a diameter <255 Å and IHD risk was independent of all nonlipid risk factors and of LDL cholesterol, high density lipoprotein cholesterol, triglyceride, and lipoprotein(a) levels.
Conclusions Results from this large, population-based, prospective study suggest that further characterization of LDL particles by PAGGE, in addition to the traditional lipid profile, may improve our ability to predict IHD events in men.
Key Words: lipids epidemiology lipoproteins ischemia heart diseases nutrition
| Introduction |
|---|
|
|
|---|
Three prospective, nested, case-control studies have recently provided further evidence supporting the inverse relationship between LDL particle size determined by polyacrylamide gradient gel electrophoresis (PAGGE) and the risk of an IHD event.68 Data indicated, however, that the relationship between variations in LDL particle size and incident IHD was not independent of concomitant changes in other lipid risk factors, such as the total-to-HDL cholesterol ratio6,7 or nonfasting plasma triglyceride levels.8 Similar observations were recently reported by Austin et al9 in older Japanese-Americans involved in the Honolulu Heart Program. These results suggested that measuring LDL particle size by PAGGE may not improve our ability to predict IHD events beyond that achieved with more traditional risk factors.4 It must be stressed that these previous studies characterized LDL size on PAGGE by using the particle diameter of the most abundant LDL subclass within an individual, the so-called LDL peak particle size.69 It is not known whether a more comprehensive characterization of LDL particles by PAGGE would lead to a more accurate assessment of IHD risk.
The objective of the present study was to investigate the relationship between several new characteristics of LDL particles obtained by PAGGE and the risk of developing IHD events in a cohort of 2034 IHD-free men of the Quebec Cardiovascular Study who were followed up for 5 years.
| Methods |
|---|
|
|
|---|
Definition of IHD Events
The diagnosis of a first IHD event, which included typical effort angina, coronary insufficiency, nonfatal myocardial infarction, and coronary death,10,11 have also been described in detail previously.
Laboratory Analyses
Twelve-hour fasting blood samples were obtained at baseline evaluation and immediately used for lipid and apolipoprotein measurements as described earlier.11,12 LDL cholesterol levels were estimated by the equation of Friedewald et al.13
LDL Particle Size Characterization
Nondenaturing 2% to 16% PAGGE was performed by using a modification of procedures described previously.7,14 LDL particle size was determined on 8x8-cm polyacrylamide gradient gels prepared in batches in our laboratory. Aliquots of 3.5 µL of whole plasma samples were mixed in a 1:1 volume ratio with a sampling buffer containing 20% sucrose and 0.25% bromophenol blue and loaded onto the gels. A 15-minute prerun at 75 V preceded electrophoresis of the plasma samples at 150 V for 3 hours. Gels were stained for 1 hour with Sudan black (0.07%) and stored in a 0.81% acetic acid/4% methanol solution until analysis by the Imagemaster 1-D Prime computer software (Amersham Pharmacia Biotech). LDL size was extrapolated from the relative migration of 4 plasma standards of known diameter.14 The estimated diameter for the major peak in each scan was identified as the LDL peak particle size. An integrated (or mean) LDL diameter was also computed by using a modification of the approach described by Tchernof et al.14 This integrated LDL particle size corresponds to the weighed mean size of all LDL subclasses in 1 individual. It was calculated as a continuous variable and was computed as the sum of the diameter of each LDL subclass multiplied by its relative area. Analysis of pooled plasma standards revealed that measurement of LDL peak and mean particle size was highly reproducible, with an interassay coefficient of variation of <2%. The cumulative number of identifiable LDL subclasses and the number of LDL subclasses with a diameter <255 Å were also computed for each individual. The relative proportion of LDL having a diameter <255 Å was ascertained by computing the relative area of the densitometric scan <255 Å. It has been documented that Sudan black stains mainly nonpolar lipids.15 The absorbance profile with Sudan black staining was also assumed to closely reflect the cholesterol distribution among LDL particles of different sizes.16 Thus, the absolute concentration of cholesterol among particles <255 Å was calculated by multiplying the total plasma LDL cholesterol levels by the relative proportion of LDL with a diameter <255 Å. A similar approach was used to assess the relative and absolute concentrations of cholesterol in particles with a diameter >260 Å.
Statistical Analyses
Duration of follow-up was first calculated in person-years by using the follow-up of each participant from the 1985 baseline evaluation until death, onset of IHD, or the 1990 to 1991 last contact. Mean baseline characteristics of incident IHD cases and of men who remained free of IHD during follow-up were compared by Students t test for parametric variables and by the Wilcoxon test for nonparametric variables. Differences in frequency data were tested by
2 analysis. Cox proportional-hazards models were used to estimate rates of IHD events. Age, body mass index, systolic blood pressure, type 2 diabetes (presence vs absence), smoking habits (smokers of >20 cigarettes per day vs others), familial history of IHD (presence vs absence), medication use (presence vs absence), LDL and HDL cholesterol levels, and logarithmically transformed triglyceride and lipoprotein(a) levels at baseline were included as potential confounders where indicated. Receiver operating characteristic (ROC) curves were used to examine the additional value of the various LDL size characteristics in discriminating subjects who did vs those who did not suffer a first IHD event during follow-up. The area under the ROC curves was the primary end point for these analyses. Linear predictors of the logistic regression used to generate the ROC data were also used to assess the number of incident IHD cases classified as being in the highest tertile of risk based on a traditional risk factor model with and without the various LDL size characteristics on PAGGE. Statistical analyses were performed with SAS software (SAS Institute).
| Results |
|---|
|
|
|---|
|
|
The LDL peak and integrated particle sizes were correlated (inversely) with plasma triglyceride levels (r=-0.54 and r=-0.51, respectively; P<0.001) but less so with the HDL cholesterol (r=0.39 and r=0.38, respectively; P<0.001) and apolipoprotein B (r=-0.33 and r=-0.31, P<0.001) levels. Although the relative proportion of LDL <255 Å was correlated strongly with LDL peak particle size (r=-0.71) and LDL integrated particle size (r=-0.76), the shared variance did not exceed 50%. The relative proportion of LDL <255 Å was also correlated with HDL cholesterol (r=-0.31, P<0.001), triglyceride (r=0.43, P<0.001), and apolipoprotein B (r=0.25, P<0.001) levels but showed essentially no relationship with LDL cholesterol level (r=0.06, P<0.01). The cholesterol concentration in LDL particles <255 Å was correlated significantly with the total LDL cholesterol level (r=0.43, P<0.001), but the shared variance between these 2 measures of LDL was <25%.
TABLE 3 presents the risk of IHD computed for each tertile of LDL characteristics by using the low-risk tertile as a reference (relative risk [RR]=1.0). This approach allowed a standardized comparison of the IHD risk associated with LDL characteristics that had different scales and distributions. An increased total plasma LDL cholesterol concentration (third vs first tertile) was associated with a 2.7-fold increase in the risk of IHD, which was independent of the individual or combined contribution of other nonlipid and lipid risk factors. The significant association between small LDL peak particle size and the risk of future IHD events (model 1: RR=2.5; 95% confidence interval [CI], 1.5 to 4.0) was no longer significant after adjustment for nonlipid and lipid risk factors (model 3: RR=1.5; 95% CI, 0.9 to 2.7). On the other hand, the relationship between LDL integrated size and IHD risk retained borderline significance even after multivariate adjustment for all nonlipid and lipid risk factors (model 3: RR=1.7; 95% CI, 1.0 to 3.1). Finally, men in the third tertile of relative or absolute cholesterol levels in LDL particles <255 Å had a 4- to 6-fold increase in the risk of IHD compared with men in the first tertile of the distributions. This increase in IHD risk remained highly significant even after adjustment for nonlipid and lipid risk factors. Adjusting for the total-to-HDL cholesterol ratio also did not attenuate the relationship between LDL cholesterol levels in particles <255 Å and incident IHD risk (not shown).
|
The incremental benefit of adding a measurement of LDL characteristics on PAGGE to the series of traditional risk factors in discriminating incident IHD cases from noncases was also investigated by using ROC curves obtained by logistic regression analysis (TABLE 4). The area under the ROC curve based on the combination of traditional risk factors was 73.9% (model 1). LDL peak particle size (area under the ROC curve=74.8%) and integrated size (area under the ROC curve=75.0%) added virtually no discriminating power to the model of traditional risk factors. However, when the absolute or relative LDL cholesterol concentration within particle sizes <255 Å was added to model 1, the ability to discriminate incident IHD cases from noncases was significantly increased (area under the ROC curve=76.8% and 77.4%, respectively; P<0.001). Adding information on cholesterol levels in particles <255 Å to the multivariate logistic model (model 5) also identified a greater number of incident IHD cases within the populations highest tertile of risk compared with the traditional model of risk factors (N=77 vs 72).
|
The combined impact of concomitant variations in the proportion of LDL particles <255 Å and of LDL cholesterol levels on the risk of future IHD events is shown in the Figure. The increased IHD risk in men with LDL cholesterol levels
3.8 mmol/L (median of the cohort) was significant only when >40% of LDL was distributed among particles with a diameter <255 Å (RR=6.5; 95% CI, 3.1 to 13.7). On the other hand, an increased proportion of LDL cholesterol among small particles was associated with a significant 4.0-fold increase in the risk of IHD (95% CI, 1.9 to 8.8), even among men with a total LDL cholesterol <3.8 mmol/L (mean LDL cholesterol in this group was 3.2±0.5 mmol/L). Similar trends were observed when categorizing subjects on the basis of elevated or reduced plasma apolipoprotein B or triglyceride levels (Figure).
|
| Discussion |
|---|
|
|
|---|
Previous case-control studies had suggested that the relationship between LDL phenotype or LDL peak particle size and the risk of IHD was not independent of variations in other lipid risk factors, particularly plasma triglyceride levels and the total-to-HDL cholesterol ratio.4 Results of the current prospective, population-based study are concordant with these previous observations. Indeed, a reduced LDL peak particle size predicted an increased risk of IHD, independent of nonlipid risk factors but not after controlling for traditional lipid risk factors. These results suggest that assessing LDL peak particle size only by PAGGE may not substantially improve our ability to predict IHD events beyond that achieved with more traditional risk factors.
In the current report, we have extended our analysis of the relationship between LDL size and IHD by characterizing further the heterogeneity of LDL particles on PAGGE. Although the cumulative number of LDL subclasses <255 Å was higher among incident IHD cases than noncases, the number of small LDL subclasses did not predict IHD onset in multivariate analysis (not shown). The integrated (or mean) LDL particle diameter was more strongly associated with incident IHD risk than was the LDL peak size from a statistical point of view. It must be stressed, however, that the magnitude of the difference in risk associated with having small peak (RR=1.5) or integrated (RR=1.7) LDL particle size and the difference in IHD risk predictability (area under the ROC curve, 74.8% vs 75.0%) is considered to be only marginal.
The relative and absolute concentrations of LDL cholesterol in particles <255 Å were also investigated as potential risk factors. Men with an increased cholesterol concentration within small LDL particles (<255 Å) had a 4- to 6-fold increase in incident IHD risk compared with men having a low cholesterol concentration within small particles. This increase in risk remained highly significant after adjustment for nonlipid and lipid risk factors. In comparison, the RR associated with high total LDL cholesterol levels was increased by only 2-fold. Finally, the correlations between the absolute concentration of cholesterol in LDL particles <255 Å and LDL peak particle size and total LDL cholesterol levels, though highly significant from a statistical point of view, reflected a shared variance <50%, indicating that these various measures of LDL represent different and fairly distinct characteristics of these particles.
ROC curve analysis provided additional evidence to support the concept that the usual LDL size characteristics such as LDL peak particle size and LDL integrated size may not represent the optimal measure of the atherogenicity of small LDL particles. Indeed, a more comprehensive LDL size characterization that included the estimated relative or absolute cholesterol concentration within LDL particles <255 Å improved significantly our ability to predict IHD events. As indicated in Table 4, adding a measure of cholesterol levels within LDL particles <255 Å to the list of traditional risk factors significantly increased the area under the ROC curve. Measuring cholesterol levels in small LDL particles also contributed to the identification of 5 additional incident IHD cases in the third of the population at highest risk. The preventive efforts required to identify 5 additional cases in one third of the entire population can be considered important. In that context, the cost-benefit of adding a measure of cholesterol levels in small LDL particles as an adjunct to the series of traditional risk factors becomes a critically important but complex issue that will need to be addressed in detail in future studies.
Our results (Figure) also suggest that information on the distribution of cholesterol among LDL of various sizes may contribute to a more adequate characterization of IHD risk among individuals generally considered as being at high risk or at low risk based on the current cholesterol guidelines.17 Indeed, the risk of incident IHD among men with elevated plasma LDL cholesterol levels was >3 times greater when the relative proportion of LDL with a diameter <255 Å was high (RR=6.5) as opposed to low (RR=2.0). Furthermore, an increased proportion of small LDL particles was associated with a 4-fold elevation in the risk of future IHD, even in the presence of relatively normal LDL cholesterol levels (LDL cholesterol <3.8 mmol/L).
In conclusion, this large, prospective, population-based study confirmed that individuals with small LDL particles were at greater risk for IHD. Most important, however, our data suggest that measuring the levels of cholesterol contained within small LDL particles by PAGGE may represent the best approach to characterizing the risk of IHD associated with small, dense LDL and with elevated plasma LDL cholesterol levels. Finally, our results also suggest that further characterization of LDL particles by PAGGE may improve our ability to identify individuals at high risk for future IHD events beyond that achieved by using more traditional risk factors.
| Acknowledgments |
|---|
Received June 26, 2001; revision received August 20, 2001; accepted August 25, 2001.
| References |
|---|
|
|
|---|
2. Genest JJ, McNamara JR, Salem DN, et al. Prevalence of risk factors in men with premature coronary heart disease. Am J Cardiol. 1991; 67: 11851189.[Medline] [Order article via Infotrieve]
3. Krauss RM, Blanche PJ. Detection and quantitation of LDL subfractions. Curr Opin Lipidol. 1992; 3: 377383.
4. Lamarche B, Lemieux I, Despres JP. The small, dense LDL phenotype and the risk of coronary heart disease: epidemiology, patho-physiology and therapeutic aspects. Diabetes Metab. 1999; 25: 199211.[Medline] [Order article via Infotrieve]
5.
Mykkanen L, Kuusisto J, Haffner SM, et al. LDL size and risk of coronary heart disease in elderly men and women. Arterioscler Thromb Vasc Biol. 1999; 19: 27422748.
6.
Gardner CD, Fortmann SP, Krauss RM. Association of small low-density lipoprotein particles with the incidence of coronary artery disease in men and women. JAMA. 1996; 276: 875881.
7.
Lamarche B, Tchernof A, Dagenais GR, et al. Small, dense LDL particles and the risk of ischemic heart disease: prospective results from the Québec Cardiovascular Study. Circulation. 1997; 95: 6975.
8.
Stampfer MJ, Krauss RM, Ma J, et al. A prospective study of triglyceride level, low-density lipoprotein particle diameter, and risk of myocardial infarction. JAMA. 1996; 276: 882888.
9. Austin MA, Rodriguez BL, McKnight B, et al. Low-density lipoprotein particle size, triglycerides, and high-density lipoprotein cholesterol as risk factors for coronary heart disease in older Japanese-American men. Am J Cardiol. 2000; 86: 412416.[Medline] [Order article via Infotrieve]
10. Dagenais GR, Robitaille NM, Lupien PJ, et al. First coronary heart disease event rates in relation to major risk factors: Québec cardiovascular study. Can J Cardiol. 1990; 6: 274280.[Medline] [Order article via Infotrieve]
11. Lamarche B, Després JP, Moorjani S, et al. Prevalence of dyslipidemic phenotypes in ischemic heart disease (prospective results from the Québec Cardiovascular Study). Am J Cardiol. 1995; 75: 11891195.[Medline] [Order article via Infotrieve]
12. Moorjani S, Dupont A, Labrie F, et al. Increase in plasma high density lipoprotein concentration following complete androgen blockage in men with prostatic carcinoma. Metabolism. 1987; 36: 244250.[Medline] [Order article via Infotrieve]
13. Friedewald WT, Levy RI, Fredrickson DS. Estimation of the concentration of low density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clin Chem. 1972; 18: 499502.[Abstract]
14. Tchernof A, Lamarche B, Nadeau A, et al. The dense LDL phenotype: association with plasma lipoprotein levels, visceral obesity and hyperinsulinemia in men. Diabetes Care. 1996; 19: 629637.[Abstract]
15. Rainwater DL, Mitchell BD, Comuzzie AG, et al. Relationship of low-density lipoprotein particle size and measures of adiposity. Int J Obes Relat Metab Disord. 1999; 23: 180189.[Medline] [Order article via Infotrieve]
16. Cheng ML, Kammerer CM, Lowe WF, et al. Method for quantitating cholesterol in subfractions of serum lipoproteins separated by gradient gel electrophoresis. Biochem Genet. 1988; 26: 657681.[Medline] [Order article via Infotrieve]
17.
Smith SC, Greenland P, Grundy SM. AHA conference proceedings: prevention conference V: beyond secondary prevention: identifying the high-risk patient for primary prevention: executive summary. Circulation. 2000; 101: 111116.
This article has been cited by other articles:
![]() |
F. Apostolou, I. F. Gazi, A. Kostoula, C. C. Tellis, A. D. Tselepis, M. Elisaf, and E. N. Liberopoulos Persistence of an atherogenic lipid profile after treatment of acute infection with brucella J. Lipid Res., December 1, 2009; 50(12): 2532 - 2539. [Abstract] [Full Text] [PDF] |
||||
![]() |
J. H. Contois, J. P. McConnell, A. A. Sethi, G. Csako, S. Devaraj, D. M. Hoefner, and G. R. Warnick Apolipoprotein B and Cardiovascular Disease Risk: Position Statement from the AACC Lipoproteins and Vascular Diseases Division Working Group on Best Practices Clin. Chem., March 1, 2009; 55(3): 407 - 419. [Abstract] [Full Text] [PDF] |
||||
![]() |
P. Blackburn, I. Lemieux, B. Lamarche, J. Bergeron, P. Perron, G. Tremblay, D. Gaudet, and J.-P. Despres Type 2 Diabetes Without the Atherogenic Metabolic Triad Does Not Predict Angiographically Assessed Coronary Artery Disease in Women Diabetes Care, January 1, 2008; 31(1): 170 - 172. [Full Text] [PDF] |
||||
![]() |
B. J. Arsenault, I. Lemieux, J.-P. Despres, N. J. Wareham, R. Luben, J. J.P. Kastelein, K.-T. Khaw, and S. M. Boekholdt Cholesterol levels in small LDL particles predict the risk of coronary heart disease in the EPIC-Norfolk prospective population study Eur. Heart J., November 2, 2007; 28(22): 2770 - 2777. [Abstract] [Full Text] [PDF] |
||||
![]() |
B. J. Arsenault, D. Lachance, I. Lemieux, N. Almeras, A. Tremblay, C. Bouchard, L. Perusse, and J.-P. Despres Visceral Adipose Tissue Accumulation, Cardiorespiratory Fitness, and Features of the Metabolic Syndrome Arch Intern Med, July 23, 2007; 167(14): 1518 - 1525. [Abstract] [Full Text] [PDF] |
||||
![]() |
W. A. van der Steeg, S. M. Boekholdt, E. A. Stein, K. El-Harchaoui, E. S.G. Stroes, M. S. Sandhu, N. J. Wareham, J. W. Jukema, R. Luben, A. H. Zwinderman, et al. Role of the Apolipoprotein B-Apolipoprotein A-I Ratio in Cardiovascular Risk Assessment: A Case-Control Analysis in EPIC-Norfolk Ann Intern Med, May 1, 2007; 146(9): 640 - 648. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. Shrestha, H. C. Freake, M. M. McGrane, J. S. Volek, and M. L. Fernandez A Combination of Psyllium and Plant Sterols Alters Lipoprotein Metabolism in Hypercholesterolemic Subjects by Modifying the Intravascular Processing of Lipoproteins and Increasing LDL Uptake J. Nutr., May 1, 2007; 137(5): 1165 - 1170. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. Briand, I. Lemieux, J. G. Dumesnil, P. Mathieu, A. Cartier, J.-P. Despres, M. Arsenault, J. Couet, and P. Pibarot Metabolic Syndrome Negatively Influences Disease Progression and Prognosis in Aortic Stenosis J. Am. Coll. Cardiol., June 6, 2006; 47(11): 2229 - 2236. [Abstract] [Full Text] [PDF] |
||||
![]() |
A. J. Tremblay, B. Lamarche, J. S. Cohn, J.-C. Hogue, and P. Couture Effect of Ezetimibe on the In Vivo Kinetics of ApoB-48 and ApoB-100 in Men With Primary Hypercholesterolemia Arterioscler Thromb Vasc Biol, May 1, 2006; 26(5): 1101 - 1106. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. Desroches, W. R. Archer, M.-E. Paradis, O. Deriaz, P. Couture, J. Bergeron, N. Bergeron, and B. Lamarche Baseline Plasma C-Reactive Protein Concentrations Influence Lipid and Lipoprotein Responses to Low-Fat and High Monounsaturated Fatty Acid Diets in Healthy Men J. Nutr., April 1, 2006; 136(4): 1005 - 1011. [Abstract] [Full Text] [PDF] |
||||
![]() |
C. Couillard, G. Ruel, W. R. Archer, S. Pomerleau, J. Bergeron, P. Couture, B. Lamarche, and N. Bergeron Circulating Levels of Oxidative Stress Markers and Endothelial Adhesion Molecules in Men with Abdominal Obesity J. Clin. Endocrinol. Metab., December 1, 2005; 90(12): 6454 - 6459. [Abstract] [Full Text] [PDF] |
||||
![]() |
J.-P. Despres, A. Golay, L. Sjostrom, and the Rimonabant in Obesity-Lipids Study Group Effects of Rimonabant on Metabolic Risk Factors in Overweight Patients with Dyslipidemia N. Engl. J. Med., November 17, 2005; 353(20): 2121 - 2134. [Abstract] [Full Text] [PDF] |
||||
![]() |
R. M. Krauss Dietary and Genetic Probes of Atherogenic Dyslipidemia Arterioscler Thromb Vasc Biol, November 1, 2005; 25(11): 2265 - 2272. [Abstract] [Full Text] [PDF] |
||||
![]() |
Z. T. Bloomgarden 2nd International Symposium on Triglycerides and HDL: Metabolic syndrome Diabetes Care, October 1, 2005; 28(10): 2577 - 2584. [Full Text] [PDF] |
||||
![]() |
A. C. St-Pierre, B. Cantin, P. Mauriege, J. Bergeron, G. R. Dagenais, J.-P. Despres, and B. Lamarche Insulin resistance syndrome, body mass index and the risk of ischemic heart disease Can. Med. Assoc. J., May 10, 2005; 172(10): 1301 - 1305. [Abstract] [Full Text] [PDF] |
||||
![]() |
E. M. Stuveling, S. J. L. Bakker, H. L. Hillege, P. E. de Jong, R. O. B. Gans, and D. de Zeeuw Biochemical risk markers: a novel area for better prediction of renal risk? Nephrol. Dial. Transplant., March 1, 2005; 20(3): 497 - 508. [Full Text] [PDF] |
||||
![]() |
A. C. St-Pierre, B. Cantin, G. R. Dagenais, P. Mauriege, P.-M. Bernard, J.-P. Despres, and B. Lamarche Low-Density Lipoprotein Subfractions and the Long-Term Risk of Ischemic Heart Disease in Men: 13-Year Follow-Up Data From the Quebec Cardiovascular Study Arterioscler Thromb Vasc Biol, March 1, 2005; 25(3): 553 - 559. [Abstract] [Full Text] [PDF] |
||||
![]() |
A.-M. Paradis, B. Fontaine-Bisson, Y. Bosse, J. Robitaille, S. Lemieux, H. Jacques, B. Lamarche, A. Tchernof, P. Couture, and M.-C. Vohl The peroxisome proliferator-activated receptor {alpha} Leu162Val polymorphism influences the metabolic response to a dietary intervention altering fatty acid proportions in healthy men Am. J. Clinical Nutrition, February 1, 2005; 81(2): 523 - 530. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. N. Ballesteros, R. M. Cabrera, M. del Socorro Saucedo, and M. L. Fernandez Dietary cholesterol does not increase biomarkers for chronic disease in a pediatric population from northern Mexico Am. J. Clinical Nutrition, October 1, 2004; 80(4): 855 - 861. [Abstract] [Full Text] [PDF] |
||||
![]() |
D. S. Freedman, J. D. Otvos, E. J. Jeyarajah, I. Shalaurova, L. A. Cupples, H. Parise, R. B. D'Agostino, P. W.F. Wilson, and E. J. Schaefer Sex and Age Differences in Lipoprotein Subclasses Measured by Nuclear Magnetic Resonance Spectroscopy: The Framingham Study Clin. Chem., July 1, 2004; 50(7): 1189 - 1200. [Abstract] [Full Text] [PDF] |
||||
![]() |
B. Lamarche and S. Desroches Metabolic syndrome and effects of conjugated linoleic acid in obesity and lipoprotein disorders: the Quebec experience Am. J. Clinical Nutrition, June 1, 2004; 79(6): 1149S - 1152S. [Abstract] [Full Text] [PDF] |
||||
![]() |
D. R. Witte, M. R. Taskinen, H. Perttunen-Nio, A. van Tol, S. Livingstone, and H. M. Colhoun Study of agreement between LDL size as measured by nuclear magnetic resonance and gradient gel electrophoresis J. Lipid Res., June 1, 2004; 45(6): 1069 - 1076. [Abstract] [Full Text] [PDF] |
||||
![]() |
J.-C. Hogue, B. Lamarche, D. Gaudet, M. Lariviere, A. J. Tremblay, J. Bergeron, I. Lemieux, J.-P. Despres, C. Gagne, and P. Couture Relationship between cholesteryl ester transfer protein and LDL heterogeneity in familial hypercholesterolemia J. Lipid Res., June 1, 2004; 45(6): 1077 - 1083. [Abstract] [Full Text] [PDF] |
||||
![]() |
T. Teerlink, P. G. Scheffer, S. J. L. Bakker, and R. J. Heine Combined data from LDL composition and size measurement are compatible with a discoid particle shape J. Lipid Res., May 1, 2004; 45(5): 954 - 966. [Abstract] [Full Text] [PDF] |
||||
![]() |
Y. Liao, S. Kwon, S. Shaughnessy, P. Wallace, A. Hutto, A. J. Jenkins, R. L. Klein, and W. T. Garvey Critical Evaluation of Adult Treatment Panel III Criteria in Identifying Insulin Resistance With Dyslipidemia Diabetes Care, April 1, 2004; 27(4): 978 - 983. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. S Dhamrait, J. W Stephens, J. A Cooper, J. Acharya, A. R Mani, K. Moore, G. J Miller, S. E Humphries, S. J Hurel, and H. E Montgomery Cardiovascular risk in healthy men and markers of oxidative stress in diabetic men are associated with common variation in the gene for uncoupling protein 2 Eur. Heart J., March 2, 2004; 25(6): 468 - 475. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. Desroches, J.-F. Mauger, L. M. Ausman, A. H. Lichtenstein, and B. Lamarche Soy Protein Favorably Affects LDL Size Independently of Isoflavones in Hypercholesterolemic Men and Women J. Nutr., March 1, 2004; 134(3): 574 - 579. [Abstract] [Full Text] [PDF] |
||||
![]() |
A. Charest, S. Desroches, C. A. Vanstone, P. J. H. Jones, and B. Lamarche Unesterified Plant Sterols and Stanols Do Not Affect LDL Electrophoretic Characteristics in Hypercholesterolemic Subjects J. Nutr., March 1, 2004; 134(3): 592 - 595. [Abstract] [Full Text] [PDF] |
||||
![]() |
W. R. Archer, B. Lamarche, A. C. St-Pierre, J.-F. Mauger, O. Deriaz, N. Landry, L. Corneau, J.-P. Despres, J. Bergeron, P. Couture, et al. High Carbohydrate and High Monounsaturated Fatty Acid Diets Similarly Affect LDL Electrophoretic Characteristics in Men Who Are Losing Weight J. Nutr., October 1, 2003; 133(10): 3124 - 3129. [Abstract] [Full Text] [PDF] |
||||
![]() |
J.-F. Mauger, A. H Lichtenstein, L. M Ausman, S. M Jalbert, M. Jauhiainen, C. Ehnholm, and B. Lamarche Effect of different forms of dietary hydrogenated fats on LDL particle size Am. J. Clinical Nutrition, September 1, 2003; 78(3): 370 - 375. [Abstract] [Full Text] [PDF] |
||||
![]() |
M.-P. St-Onge, B. Lamarche, J.-F. Mauger, and P. J. H. Jones Consumption of a Functional Oil Rich in Phytosterols and Medium-Chain Triglyceride Oil Improves Plasma Lipid Profiles in Men J. Nutr., June 1, 2003; 133(6): 1815 - 1820. [Abstract] [Full Text] [PDF] |
||||
![]() |
Y. Bosse, L. Perusse, J.-P. Despres, B. Lamarche, Y. C. Chagnon, T. Rice, D.C. Rao, C. Bouchard, and M.-C. Vohl Evidence for a Major Quantitative Trait Locus on Chromosome 17q21 Affecting Low-Density Lipoprotein Peak Particle Diameter Circulation, May 13, 2003; 107(18): 2361 - 2368. [Abstract] [Full Text] [PDF] |
||||
![]() |
J. Vakkilainen, G. Steiner, J.-C. Ansquer, F. Aubin, S. Rattier, C. Foucher, A. Hamsten, M.-R. Taskinen, and on behalf of the DAIS Group Relationships Between Low-Density Lipoprotein Particle Size, Plasma Lipoproteins, and Progression of Coronary Artery Disease: The Diabetes Atherosclerosis Intervention Study (DAIS) Circulation, April 8, 2003; 107(13): 1733 - 1737. [Abstract] [Full Text] [PDF] |
||||
![]() |
P. T. Williams, H. R. Superko, W. L. Haskell, E. L. Alderman, P. J. Blanche, L. G. Holl, and R. M. Krauss Smallest LDL Particles Are Most Strongly Related to Coronary Disease Progression in Men Arterioscler Thromb Vasc Biol, February 14, 2003; 23(2): 314 - 321. [Abstract] [Full Text] [PDF] |
||||
![]() |
G. J. Blake, J. D. Otvos, N. Rifai, and P. M Ridker Low-Density Lipoprotein Particle Concentration and Size as Determined by Nuclear Magnetic Resonance Spectroscopy as Predictors of Cardiovascular Disease in Women Circulation, October 8, 2002; 106(15): 1930 - 1937. [Abstract] [Full Text] [PDF] |
||||
![]() |
K. K. Berneis and R. M. Krauss Metabolic origins and clinical significance of LDL heterogeneity J. Lipid Res., September 1, 2002; 43(9): 1363 - 1379. [Abstract] [Full Text] [PDF] |
||||
![]() |
L. Kuller, A. Arnold, R. Tracy, J. Otvos, G. Burke, B. Psaty, D. Siscovick, D. S. Freedman, and R. Kronmal Nuclear Magnetic Resonance Spectroscopy of Lipoproteins and Risk of Coronary Heart Disease in the Cardiovascular Health Study Arterioscler Thromb Vasc Biol, July 1, 2002; 22(7): 1175 - 1180. [Abstract] [Full Text] [PDF] |
||||
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
Circulation Home | Subscriptions | Archives | Feedback | Authors | Help | AHA Journals Home | Search Copyright © 2001 American Heart Association, Inc. All rights reserved. Unauthorized use prohibited. |