Olsen Thomas, Vinknes Kathrine J, Blomhoff Rune, Lysne Vegard, Midttun Øivind, Dhar Indu, Ueland Per M, Svingen Gard F T, Pedersen Eva K R, Drevon Christian A, Refsum Helga, Nygård Ottar K
Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Domus Medica, Sognsvannsveien 9, 0372, Oslo, Norway.
Department of Clinical Service, Division of Cancer Medicine, Oslo University Hospital, Forskningsveien 2A, 0372, Oslo, Norway.
Eur J Nutr. 2020 Sep;59(6):2383-2393. doi: 10.1007/s00394-019-02086-2. Epub 2019 Sep 9.
We hypothesized that biomarkers and dietary factors related to cardiovascular disease risk were associated with serum retinol and evaluated these potential associations in patients with suspected coronary artery disease (CAD).
We used cross-sectional data from 4116 patients hospitalised for suspected CAD. Dietary data were obtained from a subgroup of 1962 patients using a food frequency questionnaire. Potential biomarkers and dietary factors were explored using linear regression modelling adjusted for age and sex. Regression coefficients and corresponding confidence intervals (CI) are given as % change in serum retinol per unit change in the predictors. Analyses were performed in the total population and in strata of serum retinol tertiles.
In age- and sex-adjusted models, serum creatinine (standardized β: 0.38, 95% CI [0.35, 0.42]), plasma total cysteine (0.26, [0.23, 0.29]), serum uric acid (0.30, [0.26, 0.33]) and plasma neopterin (0.22, [0.18, 0.25]) were positively associated, whereas plasma serine (- 0.15, [- 0.18, - 0.12]) and serum C-reactive protein (- 0.15, [- 0.18, - 0.12]) were inversely associated with serum retinol. When we included the significant biomarkers in a multivariate model, the model explained 33% of the variability (R = 0.33) in serum retinol. The results were similar in the lower and upper tertiles of serum retinol. Weak or no associations were observed for dietary factors.
In patients with suspected CAD, concentrations of creatinine, cysteine and uric acid were positively associated with serum retinol. Future studies should assess whether retinol concentrations are influenced by metabolic alterations in patients at risk of cardiovascular disease.
我们假设与心血管疾病风险相关的生物标志物和饮食因素与血清视黄醇有关,并在疑似冠心病(CAD)患者中评估了这些潜在关联。
我们使用了4116例因疑似CAD住院患者的横断面数据。饮食数据来自1962例患者的一个亚组,通过食物频率问卷获得。使用针对年龄和性别进行调整的线性回归模型探索潜在的生物标志物和饮食因素。回归系数和相应的置信区间(CI)表示为预测因子每单位变化时血清视黄醇的变化百分比。在总体人群和血清视黄醇三分位数分层中进行分析。
在年龄和性别调整模型中,血清肌酐(标准化β:0.38,95%CI[0.35,0.42])、血浆总半胱氨酸(0.26,[0.23,0.29])、血清尿酸(0.30,[0.26,0.33])和血浆新蝶呤(0.22,[0.18,0.25])呈正相关,而血浆丝氨酸(-0.15,[-0.18,-0.12])和血清C反应蛋白(-0.15,[-0.18,-0.12])与血清视黄醇呈负相关。当我们在多变量模型中纳入显著的生物标志物时,该模型解释了血清视黄醇变异性的33%(R=0.33)。血清视黄醇的较低和较高三分位数的结果相似。饮食因素的关联较弱或未观察到。
在疑似CAD患者中,肌酐、半胱氨酸和尿酸浓度与血清视黄醇呈正相关。未来的研究应评估视黄醇浓度是否受心血管疾病风险患者代谢改变的影响。