BACKGROUND: Serum carotenoid concentrations relate inversely to @entity65 incidence. To clarify the effect of @entity21757 on atherosclerotic risk factors, we examined the association of circulating @entity21757 with @entity32 , oxidative stress, @entity409 , and smoking. METHODS: Black and white @entity1 and @entity1 in the Coronary Artery Risk Development in Young Adults study, ages 18 to 30 years at recruitment (1985-1986) from 4 US cities, were investigated over 15 years. We included 2048 to 4580 @entity1 in analyses of the sum of serum @entity2077 , @entity2066 , @entity7695 / @entity8665 , and @entity7583 concentrations and of @entity14319 at year 0 and at year 7. RESULTS: The year 0 sum of 4 @entity21757 was inversely associated (all P <0.05) with year 0 leukocyte count (slope per sum carotenoid SD, -0.17); year 7 fibrinogen (slope, -0.10); year 7 and year 15 C-reactive protein (slope, -0.12 and -0.09); and year 15 F(2)- @entity10329 (slope, -13.0), soluble @entity8729 (slope, -0.48), and soluble intercellular adhesion molecule-1 (sICAM1; slope, -5.1). Leukocyte counts and sICAM1 and F(2)- @entity10329 concentrations had stronger associations in smokers than in nonsmokers, and sICAM1 concentrations were higher in the highest carotenoid quartile in smokers than in the lowest carotenoid quartile in nonsmokers. @entity224 dismutase was positively associated with the sum of 4 @entity21757 (slope, 0.12; P <0.01). @entity14319 was inversely associated only with sICAM1. The year 7 carotenoid associations with these markers were mostly similar to those at year 0. CONCLUSIONS: Circulating serum @entity21757 were associated, some interactively with smoking, in apparently beneficial directions with markers of @entity32 , oxidative stress, and @entity409 .

Relationships of circulating carotenoid concentrations with several markers of @entity32 , oxidative stress, and XXXX : the Coronary Artery Risk Development in Young Adults (CARDIA)/Young Adult Longitudinal Trends in Antioxidants (YALTA) study.

@entity1 :: ('9606', 'Species') :: ['participants', 'women', 'men'] @entity32 :: ('MESH:D007249', 'Disease') :: ['inflammation'] @entity2066 :: ('MESH:D019207', 'Chemical') :: ['beta-carotene'] @entity2077 :: ('MESH:C041635', 'Chemical') :: ['alpha-carotene'] @entity409 :: ('MESH:D008107', 'Disease') :: ['endothelial dysfunction'] @entity7695 :: ('MESH:C005881', 'Chemical') :: ['zeaxanthin'] @entity7583 :: ('MESH:C010564', 'Chemical') :: ['beta-cryptoxanthin'] @entity21757 :: ('MESH:C567296', 'Disease') :: ['carotenoids'] @entity10329 :: ('MESH:D028421', 'Chemical') :: ['isoprostane', 'isoprostanes'] @entity8729 :: ('6403', 'Gene') :: ['P-selectin'] @entity14319 :: ('MESH:C015329', 'Chemical') :: ['lycopene', 'Lycopene'] @entity224 :: ('MESH:D013481', 'Chemical') :: ['Superoxide'] @entity65 :: ('MESH:D002318', 'Disease') :: ['cardiovascular disease'] @entity8665 :: ('MESH:D014975', 'Chemical') :: ['lutein']
@entity409 :: (MESH:D008107,Disease) :: ['endothelial dysfunction']
