scholarly journals LDL particle size and LDL and HDL cholesterol changes with dietary fat and cholesterol in healthy subjects

1998 ◽  
Vol 39 (9) ◽  
pp. 1799-1804
Author(s):  
Peter M. Clifton ◽  
Manny Noakes ◽  
Paul J. Nestel
1996 ◽  
Vol 16 (12) ◽  
pp. 1448-1453 ◽  
Author(s):  
Amareshwar T.K. Singh ◽  
David L. Rainwater ◽  
Candace M. Kammerer ◽  
R. Mark Sharp ◽  
Mahmood Poushesh ◽  
...  

Genetic and dietary effects on LDL phenotypes, including predominant LDL particle diameter, LDL size distribution, and non–HDL cholesterol and apoB concentrations, were investigated in 150 pedigreed baboons that are members of 19 sire groups. Baboons were fed a sequence of three defined diets differing in levels of fat and cholesterol. Increasing dietary fat had relatively little effect on two measures of LDL particle size. However, increasing the level of cholesterol in the diet resulted in larger increases of the predominant LDL particle diameters and in the proportion of stain on LDLs >28 nm. As expected, apoB and non–HDL cholesterol concentrations significantly increased when levels of dietary fat and cholesterol were increased. Correlations among the LDL phenotypes suggested that several different aspects of the LDL phenotype were captured by the four LDL measures across the three diets. Genetic effects indicated by sire group membership were significant both for expression of the LDL phenotypes and for response to changes in diet.


2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Mengjie Yuan ◽  
R Taylor Pickering ◽  
Martha Singer ◽  
Lynn Moore

Abstract Objectives Small dense LDL particles have been shown to promote atherogenic cardiovascular disease (CVD). Dietary fat type may impact LDL particle size, but few studies have examined the association between fatty acid intake and LDL particle size and CVD risk. Our goal was to examine the association of saturated fatty acid (SFA) intake with LDL particle size and CVD risk in subjects in the Framingham Offspring Study (FOS). Methods LDL particle profiles were measured by NMR spectroscopic assay during exam visit 4 in the prospective FOS. Dietary fat, carbohydrate and food groups were assessed using 3-day diet records at exams 3 and 5; intakes were adjusted for body weight using the residuals from linear regression models. Multivariable Cox proportional hazards models and generalized linear modeling (GLM) were used to adjust for sex, age, height, pack-years of smoking, fruit and non-starchy vegetable intakes, dairy, LDL particle size, and prevalent hypertension. Results Subjects were classified into 6 categories using the combined intakes of carbohydrates (<48% vs. ≥48% of calories) and weight-adjusted SFA (<20, 20-<30, ≥30 g/day). Among those with higher carbohydrate intake, increasing levels of dietary SFA were associated with reduced risk of CVD. Specifically, those with the highest SFA intake and higher energy-adjusted carbohydrate intakes had a 56% (CI: 0.24–0.82) lower risk of CVD compared with those who had both low SFA and lower carbohydrate intakes. Moreover, increasing SFA intake among those with higher carbohydrate intakes was also associated with larger LDL particle sizes (P = 0.04, highest SFA intake vs. lowest SFA intake). Among low-carbohydrate consumers, SFA intake was not associated with risk of CVD, but was still positively associated with larger LDL particle size (P = 0.0003, highest SFA intake vs. lowest SFA intake). Conclusions SFA intake was associated with larger LDL particle sizes regardless of carbohydrate intakes. However, a higher SFA intake was only associated with reduced CVD risk among those with higher carbohydrate intakes. Funding Sources National Dairy Council.


Diabetes Care ◽  
2000 ◽  
Vol 23 (11) ◽  
pp. 1679-1685 ◽  
Author(s):  
R. Boizel ◽  
P. Y. Benhamou ◽  
B. Lardy ◽  
F. Laporte ◽  
T. Foulon ◽  
...  

2010 ◽  
Vol 140 (4) ◽  
pp. 773-778 ◽  
Author(s):  
Purificacion Gomez ◽  
Pablo Perez-Martinez ◽  
Carmen Marin ◽  
Antonio Camargo ◽  
Elena Maria Yubero-Serrano ◽  
...  

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Yan Zhang ◽  
Sha Li ◽  
Rui-Xia Xu ◽  
Cheng-Gang Zhu ◽  
Yuan-Lin Guo ◽  
...  

Objective. To investigate the relationship between inflammatory markers and atherogenic lipoprotein subfractions.Methods. We studied 520 eligible subjects who were not receiving any lipid-lowering therapy. The inflammatory markers including white blood cell (WBC) count, high-sensitivity C-reactive protein (hs-CRP), fibrinogen, erythrocyte sedimentation rate (ESR), and D-dimer were measured. A multimarker inflammatory index was developed. Low-density lipoprotein (LDL) and high-density lipoprotein (HDL) separation processes were performed using Lipoprint System.Results. In age- and sex-adjusted analysis, several inflammatory markers (WBC count, hs-CRP, fibrinogen, and ESR) were positively related to circulating non-HDL cholesterol and remnant cholesterol (p<0.05, all). Among lipoprotein subfractions, we observed a positive association of inflammatory markers with very low-density lipoprotein cholesterol, small LDL cholesterol, and LDL score (p<0.05, all). Meanwhile, a negative association was detected between inflammatory markers and mean LDL particle size (p<0.05) or large HDL cholesterol (p<0.05). Moreover, we found that the relationships between multimarker index quartiles and small LDL cholesterol, LDL score, and mean LDL particle size were slightly stronger in patients with CAD.Conclusions. Systemic inflammatory markers are positively correlated with small LDL cholesterol and LDL score while being negatively linked with mean LDL particle size and large HDL cholesterol, highlighting the potential contribution to increased cardiovascular risk.


2001 ◽  
Vol 47 (2) ◽  
pp. 266-274 ◽  
Author(s):  
Daniel M Hoefner ◽  
Shannon D Hodel ◽  
John F O’Brien ◽  
Earl L Branum ◽  
Deborah Sun ◽  
...  

Abstract Background: Recent evidence suggests that the presence of small, dense LDL is independently associated with increased risk of developing coronary artery disease. Current methods to subfractionate LDL are time-consuming and/or technically demanding. Therefore, we have sought the development of a less complex LDL subfractionation procedure. Methods: LDL subfractions were separated using the Quantimetrix LipoprintTM LDL System. High-resolution 3% polyacrylamide gel tubes were scanned densitometrically (610 nm) with a Helena EDC system. A computerized method to identify and quantitatively score the resolved LDL subfractions was developed. Results from the Quantimetrix method were compared using 51 plasma samples with values obtained by nondenaturing gradient gel electrophoresis (NDGGE) and nuclear magnetic resonance (NMR) spectroscopy. Results: LDL subfractionation scores correlated significantly (P &lt;0.05) with triglyceride, HDL-cholesterol, apolipoprotein B100, and LDL-cholesterol/apolipoprotein B100 (r = 0.591, −0.392, 0.454, and −0.411, respectively). For 51 samples, the Quantimetrix method classified 21 with small, 14 with intermediate, and 16 with large LDL. Of the 21 samples classified as small by Quantimetrix, 20 (95%) were classified as small (n = 18) or intermediate (n = 2) by NDGGE. All of the 16 specimens classified as large by Quantimetrix were either large (n = 14) or intermediate (n = 2) by NDGGE. LDL score was inversely correlated (r = −0.674; P &lt;0.0001) with LDL particle size determined by NMR spectroscopy. Conclusions: A quantitative method for the assessment of LDL particle size phenotype was developed using the Quantimetrix Lipoprint LDL System. The method can be performed in less than 3 h in batch mode and is suitable for routine use in clinical laboratories.


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