BACKGROUND: In adults, dyslipidemia is associated with higher carotid thickness and arterial stiffness, predictors of cardiovascular events. In young subjects, lipid concentrations have not been consistently associated with vascular measures. OBJECTIVE: The objective of the study was to compare nuclear magnetic resonance (NMR) measures of lipoprotein particle number (low-density lipoprotein [LDL] particle, low-density lipoprotein [HDL] particle, very low-density lipoprotein [VLDL] particle) and size (LDL size, HDL size, and VLDL size) to determine if they were associated with vascular measures more strongly than lipid concentrations (LDL cholesterol, HDL cholesterol, and triglyceride [TG]). METHODS: We evaluated 214 lean (L), 228 obese (O), and 214 diabetic (T2DM) subjects aged 10 to 24 years (33% male and 39% Caucasian). Cardiovascular risk factors, vascular structure, and arterial stiffness were measured. General linear models were constructed including demographics, risk factors, and traditional or NMR lipid parameters. A composite vascular function score was developed as the outcome in receiver operator characteristic scores for determining which lipid parameter was superior in predicting vascular damage. RESULTS: Risk factors worsened from L to O to T. However, LDL cholesterol was similar in O and T, whereas LDL size differentiated the 3 groups (T > O > L, P ≤ .0001). Models demonstrated the superiority of NMR values, which entered for all but 1 vascular outcome and explained more of the variance than traditional lipid concentrations. Receiver operator characteristic curves demonstrated that NMR values were superior in predicting vascular outcomes. Models stratified by race were similar but cutpoints predicting vascular outcomes differed by race for TG, TG/HDL, and VLDL. CONCLUSION: Lipoprotein particle number and size are more strongly related to vascular structure and function than traditional lipid values. NMR lipid measures may be a better indicator of risk for target organ damage than traditional lipid measures in adolescents and young adults.
BACKGROUND: In adults, dyslipidemia is associated with higher carotid thickness and arterial stiffness, predictors of cardiovascular events. In young subjects, lipid concentrations have not been consistently associated with vascular measures. OBJECTIVE: The objective of the study was to compare nuclear magnetic resonance (NMR) measures of lipoprotein particle number (low-density lipoprotein [LDL] particle, low-density lipoprotein [HDL] particle, very low-density lipoprotein [VLDL] particle) and size (LDL size, HDL size, and VLDL size) to determine if they were associated with vascular measures more strongly than lipid concentrations (LDL cholesterol, HDL cholesterol, and triglyceride [TG]). METHODS: We evaluated 214 lean (L), 228 obese (O), and 214 diabetic (T2DM) subjects aged 10 to 24 years (33% male and 39% Caucasian). Cardiovascular risk factors, vascular structure, and arterial stiffness were measured. General linear models were constructed including demographics, risk factors, and traditional or NMR lipid parameters. A composite vascular function score was developed as the outcome in receiver operator characteristic scores for determining which lipid parameter was superior in predicting vascular damage. RESULTS: Risk factors worsened from L to O to T. However, LDL cholesterol was similar in O and T, whereas LDL size differentiated the 3 groups (T > O > L, P ≤ .0001). Models demonstrated the superiority of NMR values, which entered for all but 1 vascular outcome and explained more of the variance than traditional lipid concentrations. Receiver operator characteristic curves demonstrated that NMR values were superior in predicting vascular outcomes. Models stratified by race were similar but cutpoints predicting vascular outcomes differed by race for TG, TG/HDL, and VLDL. CONCLUSION: Lipoprotein particle number and size are more strongly related to vascular structure and function than traditional lipid values. NMR lipid measures may be a better indicator of risk for target organ damage than traditional lipid measures in adolescents and young adults.
Authors: C Skoglund-Andersson; R Tang; M G Bond; U de Faire; A Hamsten; F Karpe Journal: Arterioscler Thromb Vasc Biol Date: 1999-10 Impact factor: 8.311
Authors: Salim S Virani; Lisa Pompeii; Andrew E Lincoln; Reginald E Dunn; Andrew M Tucker; Vijay Nambi; Khurram Nasir; Robert A Vogel; Jeffrey L Boone; Arthur J Roberts; Christie M Ballantyne Journal: Atherosclerosis Date: 2012-04-03 Impact factor: 5.162
Authors: Elaine M Urbina; Thomas R Kimball; Philip R Khoury; Stephen R Daniels; Lawrence M Dolan Journal: J Hypertens Date: 2010-08 Impact factor: 4.844
Authors: Wendy S Tzou; Pamela S Douglas; Sathanur R Srinivasan; Wei Chen; Gerald Berenson; James H Stein Journal: Ann Intern Med Date: 2005-05-03 Impact factor: 25.391
Authors: T J Lyons; A J Jenkins; D Zheng; R L Klein; J D Otvos; Y Yu; D T Lackland; D McGee; M B McHenry; M Lopes-Virella; W T Garvey Journal: Diabet Med Date: 2006-09 Impact factor: 4.359
Authors: James D Otvos; Samia Mora; Irina Shalaurova; Philip Greenland; Rachel H Mackey; David C Goff Journal: J Clin Lipidol Date: 2011 Mar-Apr Impact factor: 4.766
Authors: S S Soedamah-Muthu; H M Colhoun; M J Thomason; D J Betteridge; P N Durrington; G A Hitman; J H Fuller; K Julier; M I Mackness; H A W Neil Journal: Atherosclerosis Date: 2003-04 Impact factor: 5.162
Authors: Michael R Skilton; David S Celermajer; Erich Cosmi; Fatima Crispi; Samuel S Gidding; Olli T Raitakari; Elaine M Urbina Journal: J Clin Med Date: 2019-08-12 Impact factor: 4.241
Authors: Angeliki Makri; Anita Cheung; Ninet Sinaii; Alan T Remaley; Maureen Sampson; Meg Keil; Elena Belyavskaya; Charalampos Lyssikatos; Maria De La Luz Sierra; Constantine A Stratakis; Maya Lodish Journal: Pediatr Res Date: 2019-05-21 Impact factor: 3.756