Department of Pharmacology, Faculty of Medicine, Andalas University, Padang, West Sumatra, Indonesia.
Division of Environmental Toxicology, Department of Pharmacology, Faculty of Medicine, Andalas University, Main Campus at Limau Manis, Gedung A Lantai 1, Pauh, Padang, West Sumatra, 25166, Indonesia.
BMC Res Notes. 2020 Apr 6;13(1):202. doi: 10.1186/s13104-020-05042-0.
Cd exposure is a non-traditional risk factor of cardiovascular disease and mortality by promoting the development of atherosclerosis. The development of atherosclerosis can be monitored non-invasively by measuring carotid intima-media thickness (CIMT). This study aimed to measure the level of blood Cd and other factors known to be associated with CIMT, measured at the segment of common carotid artery (CCA) and of internal carotid artery (ICA), in young adults from Padang, West Sumatera, Indonesia, and we analyzed whether blood Cd is a predictor of CIMT.
We recruited 156 subjects. Median blood Cd level was 0.61 μg/L (range 0.01-5.96 μg/L), with no difference in male compared to female subjects (Mann-Whitney U test, p = 0.60). Multiple regression analysis showed that sex is the predictor of CCA IMT (adjusted R = 0.219; β = -0.438 [95% CI - 0.662, - 0.214]; p < 0.001) and ICA IMT (adjusted R = 0.165; β = - 0.529 [95% CI - 0.761, - 0.297]; p < 0.001). Blood Cd was not a predictor of CCA IMT (adjusted R = 0.219; β = - 0.101 [95% CI - 0.257, 0.055]; p = 0.203) and ICA IMT (adjusted R = 0.165; β = - 0.055 [95% CI - 0.217, 0.107]; p = 0.503) in young adults from Padang, Indonesia.
镉暴露通过促进动脉粥样硬化的发展，成为心血管疾病和死亡率的非传统危险因素。通过测量颈动脉内膜中层厚度（CIMT），可以对动脉粥样硬化的发展进行非侵入性监测。本研究旨在测量印度尼西亚西苏门答腊巴东的年轻成年人的颈动脉（CCA）和颈内动脉（ICA）节段的血液镉水平和其他已知与 CIMT 相关的因素，并分析血液镉是否是 CIMT 的预测因子。
我们招募了 156 名受试者。中位血液镉水平为 0.61μg/L（范围 0.01-5.96μg/L），男性和女性受试者之间无差异（Mann-Whitney U 检验，p=0.60）。多元回归分析表明，性别是 CCA IMT（调整后的 R=0.219；β=-0.438[95%CI-0.662，-0.214]；p<0.001）和 ICA IMT（调整后的 R=0.165；β=-0.529[95%CI-0.761，-0.297]；p<0.001）的预测因子。血液镉不是 CCA IMT（调整后的 R=0.219；β=-0.101[95%CI-0.257，0.055]；p=0.203）和 ICA IMT（调整后的 R=0.165；β=-0.055[95%CI-0.217，0.107]；p=0.503）的预测因子。
