首页> 美国卫生研究院文献>Nutrients >Potential Biomarkers for Fat from Dairy and Fish and Their Association with Cardiovascular Risk Factors: Cross-sectional Data from the LifeLines Biobank and Cohort Study
【2h】

Potential Biomarkers for Fat from Dairy and Fish and Their Association with Cardiovascular Risk Factors: Cross-sectional Data from the LifeLines Biobank and Cohort Study

机译:乳制品和鱼类中脂肪的潜在生物标志物及其与心血管疾病危险因素的关系:LifeLines生物库和队列研究的横断面数据

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Dairy fat intake, reflected by the biomarkers C14:0, C15:0, C17:0, trans-C16:1 (n-7), trans-C18:1 (n-7) and CLA, may have beneficial effects on cardiovascular health. It has, however, been questioned whether this association is genuine, since C15:0 and C17:0 are also biomarkers from fish. We investigated whether the above biomarkers are reliable markers for dairy fat intake in 864 healthy subjects. Subsequently, we explored the association between these biomarkers and cardiovascular risk factors. Intakes of dairy and fish were determined by Food Frequency Questionnaires FFQs. Fatty acids were analyzed in plasma triglycerides (TG) and phospholipids (PL). Median intakes of dairy and fish fat were 12.3 (8.4–17.4) g/day and 1.14 (0.53–1.75) g/day. All fatty acids, except TG C17:0, were associated with dairy fat (std.β range TG: 0.12 for C14:0 till 0.25 for C15:0 and Trans-C18:1 (n-7); and std.β range PL: 0.12 for C17:0 and Trans-C16:1 (n-7) till 0.24 for Trans-C18:1 (n-7) and CLA; p < 0.001). TG C17:0 was associated with fish fat (std.β = 0.08; p = 0.03), whereas PL C17:0 was not. Associations remained after adjustment for fish/dairy fat intake. Strongest inverse associations with biological variables were found with PL C17:0 and Trans-C18:1 (n-7) (Std.βs: waist circumference: −0.18, p < 0.001 and −0.10, p < 0.05; BMI: −0.17, p < 0.001, −0.11, p < 0.01; glucose: −0.10, p <0.01 and −0.08, p <0.05; high sensitive C-reactive protein (hs-CRP): −0.22, p < 0.001 and −0.16, p < 0.01; uric acid: −0.27, p < 0.001 and −0.24, p < 0.001). In conclusion, fatty acid biomarkers, except plasma TG C17:0, were associated with dairy fat intake, independent of fish fat intake. PL C17:0 and trans-C18:1 (n-7) were inversely associated with adiposity, diabetes, inflammation and uric acid.
机译:生物标志物C14:0,C15:0,C17:0,反式C16:1(n-7),反式C18:1(n-7)和CLA反映的乳制品脂肪摄入量可能对心血管有益健康。然而,由于C15:0和C17:0也是鱼类的生物标志物,因此人们怀疑这种关联是否真实。我们调查了以上生物标志物是否是864名健康受试者乳汁摄入量的可靠标志物。随后,我们探索了这些生物标志物与心血管危险因素之间的关联。乳制品和鱼类的摄入量由“食物频率问卷” FFQ确定。分析血浆甘油三酸酯(TG)和磷脂(PL)中的脂肪酸。牛奶和鱼脂肪的中位数摄入量为每天12.3(8.4-17.4)克/天和1.14(0.53-1.75)克/天。除TG C17:0以外的所有脂肪酸均与乳制品脂肪相关(std.β范围TG:C14:0的0.12至C15:0和Trans-C18:1(n-7)的0.25;std.β范围对于C17:0和Trans-C16:1(n-7),PL:0.12;对于Trans-C18:1(n-7)和CLA,PL:0.24; p <0.001)。 TG C17:0与鱼脂肪相关(标准β= 0.08; p = 0.03),而PL C17:0没有相关性。调整鱼/乳制品脂肪摄入量后仍保持关联。在PL C17:0和Trans-C18:1(n-7)中发现了与生物学变量最强的逆相关性(标准βs:腰围:-0.18,p <0.001和-0.10,p <0.05; BMI:-0.17 ,p <0.001,-0.11,p <0.01;葡萄糖:-0.10,p <0.01和-0.08,p <0.05;高敏感性C反应蛋白(hs-CRP):-0.22,p <0.001和-0.16, p <0.01;尿酸:-0.27, p <0.001和-0.24, p <0.001)。总之,除血浆TG C17:0外,脂肪酸生物标志物与乳制品脂肪摄入相关,而与鱼脂肪摄入无关。 PL C17:0和反式C18:1( n -7)与肥胖,糖尿病,炎症和尿酸呈负相关。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号