BACKGROUND: Abnormalities in traditional lipids, particularly decreased HDL cholesterol and increased triglycerides, can precede the onset of hypertension. Whether lipoprotein particle size or subclass concentrations play a role in the development of hypertension is unknown. METHODS: We followed 17 527 initially healthy women without baseline hypertension prospectively for 8 years. At baseline, information regarding traditional lipids and hypertension risk factors was obtained, and lipoprotein size and subclass concentrations were measured by nuclear magnetic resonance spectroscopy. RESULTS: Baseline lipoprotein size and subclass concentrations were significantly associated with incident hypertension. Although LDL cholesterol was not associated with hypertension [odds ratio (OR) for quintile 5 vs 1: 1.08 (95% CI 0.96-1.20)], increased concentrations of LDL particles were associated with greater risk [OR 1.73 (1.54-1.95)], especially small LDL particles [OR 1.62 (1.45-1.83)]. Increased HDL cholesterol was associated with lower risk of hypertension [OR for quintile 5 vs 1: 0.79 (0.70-0.89)]. By contrast, increased concentrations of HDL particles had greater risk [OR 1.48 (1.32-1.67)], especially small HDL particles [OR 1.36 (1.22-1.53)], whereas large HDL particles had lower risk [OR 0.80 (0.71-0.90)]. Triglycerides and triglyceride-rich VLDL particles were positively associated with hypertension, with large VLDL particles associated with greater risk [OR 1.68 (1.50-1.89)]. Adding particle subclasses improved discrimination over a model with traditional lipids and risk factors (c-statistic 0.671 compared to 0.676; P < 0.001). CONCLUSIONS: In this study of initially healthy women, lipoprotein particle size and subclass concentrations were associated with incident hypertension and provided additive information to traditional lipids and risk factors.
BACKGROUND: Abnormalities in traditional lipids, particularly decreased HDL cholesterol and increased triglycerides, can precede the onset of hypertension. Whether lipoprotein particle size or subclass concentrations play a role in the development of hypertension is unknown. METHODS: We followed 17 527 initially healthy women without baseline hypertension prospectively for 8 years. At baseline, information regarding traditional lipids and hypertension risk factors was obtained, and lipoprotein size and subclass concentrations were measured by nuclear magnetic resonance spectroscopy. RESULTS: Baseline lipoprotein size and subclass concentrations were significantly associated with incident hypertension. Although LDL cholesterol was not associated with hypertension [odds ratio (OR) for quintile 5 vs 1: 1.08 (95% CI 0.96-1.20)], increased concentrations of LDL particles were associated with greater risk [OR 1.73 (1.54-1.95)], especially small LDL particles [OR 1.62 (1.45-1.83)]. Increased HDL cholesterol was associated with lower risk of hypertension [OR for quintile 5 vs 1: 0.79 (0.70-0.89)]. By contrast, increased concentrations of HDL particles had greater risk [OR 1.48 (1.32-1.67)], especially small HDL particles [OR 1.36 (1.22-1.53)], whereas large HDL particles had lower risk [OR 0.80 (0.71-0.90)]. Triglycerides and triglyceride-rich VLDL particles were positively associated with hypertension, with large VLDL particles associated with greater risk [OR 1.68 (1.50-1.89)]. Adding particle subclasses improved discrimination over a model with traditional lipids and risk factors (c-statistic 0.671 compared to 0.676; P < 0.001). CONCLUSIONS: In this study of initially healthy women, lipoprotein particle size and subclass concentrations were associated with incident hypertension and provided additive information to traditional lipids and risk factors.
Authors: Véronique L Roger; Alan S Go; Donald M Lloyd-Jones; Robert J Adams; Jarett D Berry; Todd M Brown; Mercedes R Carnethon; Shifan Dai; Giovanni de Simone; Earl S Ford; Caroline S Fox; Heather J Fullerton; Cathleen Gillespie; Kurt J Greenlund; Susan M Hailpern; John A Heit; P Michael Ho; Virginia J Howard; Brett M Kissela; Steven J Kittner; Daniel T Lackland; Judith H Lichtman; Lynda D Lisabeth; Diane M Makuc; Gregory M Marcus; Ariane Marelli; David B Matchar; Mary M McDermott; James B Meigs; Claudia S Moy; Dariush Mozaffarian; Michael E Mussolino; Graham Nichol; Nina P Paynter; Wayne D Rosamond; Paul D Sorlie; Randall S Stafford; Tanya N Turan; Melanie B Turner; Nathan D Wong; Judith Wylie-Rosett Journal: Circulation Date: 2010-12-15 Impact factor: 29.690
Authors: Giovanni de Simone; Richard B Devereux; Marcello Chinali; Mary J Roman; Lyle G Best; Thomas K Welty; Elisa T Lee; Barbara V Howard Journal: Hypertension Date: 2005-12-27 Impact factor: 10.190
Authors: Paul M Ridker; Nancy R Cook; I-Min Lee; David Gordon; J Michael Gaziano; Joann E Manson; Charles H Hennekens; Julie E Buring Journal: N Engl J Med Date: 2005-03-07 Impact factor: 91.245
Authors: Samia Mora; James D Otvos; Robert S Rosenson; Aruna Pradhan; Julie E Buring; Paul M Ridker Journal: Diabetes Date: 2010-02-25 Impact factor: 9.461
Authors: Samia Mora; Akintunde O Akinkuolie; Roopinder K Sandhu; David Conen; Christine M Albert Journal: Circ Arrhythm Electrophysiol Date: 2014-05-25
Authors: Aaron W Aday; Patrick R Lawler; Nancy R Cook; Paul M Ridker; Samia Mora; Aruna D Pradhan Journal: Circulation Date: 2018-11-20 Impact factor: 29.690
Authors: Shafqat Ahmad; Samia Mora; Paul W Franks; Marju Orho-Melander; Paul M Ridker; Frank B Hu; Daniel I Chasman Journal: Clin Chem Date: 2017-11-02 Impact factor: 8.327
Authors: Kwok-Leung Ong; Jingzhong Ding; Robyn L McClelland; Bernard M Y Cheung; Michael H Criqui; Philip J Barter; Kerry-Anne Rye; Matthew A Allison Journal: Atherosclerosis Date: 2015-06-18 Impact factor: 5.162
Authors: Sara Fernández-Castillejo; Rosa-Maria Valls; Olga Castañer; Laura Rubió; Úrsula Catalán; Anna Pedret; Alba Macià; Maureen L Sampson; María-Isabel Covas; Montserrat Fitó; Maria-José Motilva; Alan T Remaley; Rosa Solà Journal: Mol Nutr Food Res Date: 2016-05-06 Impact factor: 5.914