{"title":"The Association Between Blood Mercury and Lipid Biomarkers in US Hypertensive Adults.","authors":"Hang Zhao, Jiecheng Peng","doi":"10.1007/s12011-024-04103-w","DOIUrl":null,"url":null,"abstract":"<p><p>Mercury (Hg) is detrimental to human health, but its impact on lipid biomarkers remains a subject of controversy. This study sought to delineate a clear link between blood Hg and lipid biomarkers correlated with cardiovascular disease (CVD), including total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and triglycerides (TG), in hypertensive adults in the USA.</p><p><strong>Methods: </strong>This cross-sectional research gathered data from a total of 4415 participants sourced from the National Health and Nutrition Examination Survey (NHANES). The Holm-Bonferroni stepdown procedure was utilized to control the type I error rate in multiple comparisons. We employed multivariable linear regression models to assess the correlation between blood Hg and lipid biomarkers. Subsequently, subgroup analyses were conducted, categorized by both gender and race. Additionally, we used smooth curve fittings and generalized additive models to confirm the presence of non-linear relationships. When non-linearity was detected, we applied a recursive algorithm to calculate the inflection points. Finally, we established a weighted two-piecewise linear regression model to illustrate the associations on either side of the inflection point.</p><p><strong>Results: </strong>In our multivariable linear regression models, clear associations emerged. Specifically, positive correlations were observed between blood mercury and TC (β = 0.025; 95% CI 0.009 to 0.041; corrected P = 0.011), LDL-C (β = 0.022; 95% CI 0.007 to 0.036; corrected P = 0.012), and HDL-C (β = 0.007; 95% CI 0.001 to 0.013; corrected P = 0.058). However, there was no significant correlation with TG (β = - 0.007; 95% CI - 0.018 to 0.004; corrected P = 0.526). Notably, it has been demonstrated that distinct inverted U-shaped and U-shaped curves exist when stratified by gender in our analysis.</p><p><strong>Conclusions: </strong>Blood Hg exhibited a positive correlation with TC, LDL-C, and HDL-C in hypertensive adults in the USA. Nonetheless, no significant association was observed with TG.</p>","PeriodicalId":8917,"journal":{"name":"Biological Trace Element Research","volume":" ","pages":"5373-5383"},"PeriodicalIF":3.4000,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biological Trace Element Research","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1007/s12011-024-04103-w","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/2/17 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Mercury (Hg) is detrimental to human health, but its impact on lipid biomarkers remains a subject of controversy. This study sought to delineate a clear link between blood Hg and lipid biomarkers correlated with cardiovascular disease (CVD), including total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and triglycerides (TG), in hypertensive adults in the USA.
Methods: This cross-sectional research gathered data from a total of 4415 participants sourced from the National Health and Nutrition Examination Survey (NHANES). The Holm-Bonferroni stepdown procedure was utilized to control the type I error rate in multiple comparisons. We employed multivariable linear regression models to assess the correlation between blood Hg and lipid biomarkers. Subsequently, subgroup analyses were conducted, categorized by both gender and race. Additionally, we used smooth curve fittings and generalized additive models to confirm the presence of non-linear relationships. When non-linearity was detected, we applied a recursive algorithm to calculate the inflection points. Finally, we established a weighted two-piecewise linear regression model to illustrate the associations on either side of the inflection point.
Results: In our multivariable linear regression models, clear associations emerged. Specifically, positive correlations were observed between blood mercury and TC (β = 0.025; 95% CI 0.009 to 0.041; corrected P = 0.011), LDL-C (β = 0.022; 95% CI 0.007 to 0.036; corrected P = 0.012), and HDL-C (β = 0.007; 95% CI 0.001 to 0.013; corrected P = 0.058). However, there was no significant correlation with TG (β = - 0.007; 95% CI - 0.018 to 0.004; corrected P = 0.526). Notably, it has been demonstrated that distinct inverted U-shaped and U-shaped curves exist when stratified by gender in our analysis.
Conclusions: Blood Hg exhibited a positive correlation with TC, LDL-C, and HDL-C in hypertensive adults in the USA. Nonetheless, no significant association was observed with TG.
汞(Hg)对人体健康有害,但其对血脂生物标志物的影响仍存在争议。本研究试图明确血汞与心血管疾病(CVD)相关血脂生物标志物(包括总胆固醇(TC)、低密度脂蛋白胆固醇(LDL-C)、高密度脂蛋白胆固醇(HDL-C)和甘油三酯(TG))之间的联系:这项横断面研究收集了来自美国国家健康与营养调查(NHANES)的 4415 名参与者的数据。采用霍尔姆-邦费罗尼(Holm-Bonferroni)递减程序控制多重比较中的I型错误率。我们采用多变量线性回归模型来评估血汞与血脂生物标志物之间的相关性。随后,我们按性别和种族进行了亚组分析。此外,我们还使用平滑曲线拟合和广义加法模型来确认是否存在非线性关系。当检测到非线性关系时,我们采用递归算法计算拐点。最后,我们建立了一个加权两部分线性回归模型,以说明拐点两侧的关联:在我们的多变量线性回归模型中,出现了明显的关联。具体来说,血汞与总胆固醇(β = 0.025;95% CI 0.009 至 0.041;校正后 P = 0.011)、低密度脂蛋白胆固醇(β = 0.022;95% CI 0.007 至 0.036;校正后 P = 0.012)和高密度脂蛋白胆固醇(β = 0.007;95% CI 0.001 至 0.013;校正后 P = 0.058)之间呈正相关。但与总胆固醇(β = - 0.007;95% CI - 0.018 至 0.004;校正后 P = 0.526)无明显相关性。值得注意的是,我们的分析表明,按性别分层时,存在明显的倒 U 形和 U 形曲线:结论:美国成人高血压患者的血压与总胆固醇、低密度脂蛋白胆固醇和高密度脂蛋白胆固醇呈正相关。结论:在美国高血压成年人中,血汞与总胆固醇、低密度脂蛋白胆固醇和高密度脂蛋白胆固醇呈正相关,但与总胆固醇无明显关联。
期刊介绍:
Biological Trace Element Research provides a much-needed central forum for the emergent, interdisciplinary field of research on the biological, environmental, and biomedical roles of trace elements. Rather than confine itself to biochemistry, the journal emphasizes the integrative aspects of trace metal research in all appropriate fields, publishing human and animal nutritional studies devoted to the fundamental chemistry and biochemistry at issue as well as to the elucidation of the relevant aspects of preventive medicine, epidemiology, clinical chemistry, agriculture, endocrinology, animal science, pharmacology, microbiology, toxicology, virology, marine biology, sensory physiology, developmental biology, and related fields.