Li Ang, Zhou Quan, Mei Yayuan, Zhao Jiaxin, Zhao Meiduo, Xu Jing, Ge Xiaoyu, Xu Qun
Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China.
Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
Front Nutr. 2022 May 30;9:838613. doi: 10.3389/fnut.2022.838613. eCollection 2022.
Previous studies have focused only on the cardiometabolic effects of selenium concentrations. We explored whether selenium levels and their visit-to-visit variability (VVV) and individual mean (IM) are independently associated with cardiometabolic risk factors.
A three-wave repeated-measures study of older adults with high selenium ( = 201) was conducted in Beijing from 2016 to 2018. Whole blood selenium and urinary selenium concentrations were measured. VVV and IM were used to profile the homeostasis of the selenium biomarkers. Four indicators, namely standard deviation, coefficient of variation, average real variability, and variability independent of the mean, were employed to characterize VVV. We considered 13 cardiometabolic factors: four lipid profile indicators, three blood pressure indices, glucose, uric acid, waistline, hipline, waist-hip ratio, and sex-specific metabolic syndrome score. Linear mixed-effects regression models with random intercepts for the participants were employed to explore the associations of the selenium concentrations, VVV, and IM with the cardiometabolic factors.
The geometric mean whole blood and urinary selenium levels were 134.30 and 18.00 μg/L, respectively. Selenium concentrations were significantly associated with numerous cardiometabolic factors. Specifically, whole blood selenium was positively associated with total cholesterol [0.22, 95% confidence interval (CI): 0.12, 0.33], low-density lipoprotein cholesterol (LDL-C; 0.28, 95% CI: 0.13, 0.42), glucose (0.22, 95% CI: 0.10, 0.34), and uric acid (0.16, 95% CI: 0.04, 0.28). After adjustment for VVV, the IM of whole blood selenium was positively correlated with total cholesterol (0.002, 95% CI: 0.001, 0.004), triglycerides (0.007, 95% CI: 0.004, 0.011), and LDL-C (0.002, 95% CI: 0.000, 0.004). However, we did not observe any robust associations between the VVV of the selenium biomarkers and cardiometabolic risk factors after adjustment for IM.
Our findings suggest that selenium concentrations and their IMs are significantly associated with cardiometabolic risk factors among older adults with high selenium. Longer repeated-measures studies among the general population are required to validate our findings and elucidate the relevant underlying mechanisms.
以往研究仅关注硒浓度对心脏代谢的影响。我们探讨了硒水平及其访视间变异性（VVV）和个体均值（IM）是否与心脏代谢危险因素独立相关。
2016年至2018年在北京对201名高硒老年人进行了一项三波重复测量研究。测量了全血硒和尿硒浓度。使用VVV和IM来描述硒生物标志物的内稳态。采用标准差、变异系数、平均实际变异性和与均值无关的变异性这四个指标来表征VVV。我们考虑了13个心脏代谢因素：四个血脂指标、三个血压指数、血糖、尿酸、腰围、臀围、腰臀比以及特定性别的代谢综合征评分。采用具有参与者随机截距的线性混合效应回归模型来探讨硒浓度、VVV和IM与心脏代谢因素之间的关联。
全血和尿硒水平的几何均值分别为134.30和18.00μg/L。硒浓度与众多心脏代谢因素显著相关。具体而言，全血硒与总胆固醇[0.22，95%置信区间（CI）：0.12，0.33]、低密度脂蛋白胆固醇（LDL-C；0.28，95%CI：0.13，0.42）、血糖（0.22，95%CI：0.10，0.34）和尿酸（0.16，95%CI：0.04，0.28）呈正相关。在调整VVV后，全血硒的IM与总胆固醇（0.002，95%CI：0.001，0.004）、甘油三酯（0.007，95%CI：0.004，0.011）和LDL-C（0.002，95%CI：0.000，0.004）呈正相关。然而，在调整IM后，我们未观察到硒生物标志物的VVV与心脏代谢危险因素之间存在任何显著关联。
我们的研究结果表明，在高硒老年人中，硒浓度及其IM与心脏代谢危险因素显著相关。需要在一般人群中进行更长时间的重复测量研究来验证我们的发现并阐明相关潜在机制。
