Scientific Research Academy of Guangxi Environmental Protection, Nanning, 530022, China.
Department of Toxicology, School of Public Health, Guangxi Medical University, Nanning, 530021, China.
Environ Geochem Health. 2024 Nov 30;47(1):6. doi: 10.1007/s10653-024-02318-3.
Environmental exposure to arsenic (As), lead (Pb) and cadmium (Cd) may cause chronic kidney disease (CKD), with varying independent effects and unclear combined impact. This study aimed to evaluate these effects on CKD.
1,398 individuals were included. Urine arsenic (UAs) was determined by atomic fluorescence method. Urinary cadmium (UCd) and blood lead (BPb) levels were determined by graphite-furnace atomic absorption spectrometry. CKD was defined as an estimated glomerular filtration rate (eGFR) < 60 mL/min/1.73mor proteinuria. Generalized linear models (GLM), restricted cubic spline (RCS) models, weighted quantile sum (WQS) regression, and Bayesian kernel machine regression (BKMR) models were employed to study the independent and combined effects of exposure to As, Pb and Cd on CKD risk.
Compared with non-CKD subjects, UAs, UCd, BPb, and creatinine adjusted urinary cadmium (UCdCr) were all significantly higher in CKD subjects. Compared with the lowest quartiles, the ORs (95%CIs) of CKD risk in the highest quartiles were 2.09 (1.16-3.74) for UAs, 2.84(1.56-5.18) for UCd, and 1.79 (1.05-3.06) for UCdCr, respectively. UAs, UCd, and UCdCr were all significantly positively associated with CKD risk in p-trend tests. RCS models revealed non-linear links between UAs, UCd, UCdCr and CKD risk, while a linear dose-response existed for BPb and CKD risk. The OR (95%CI) in WQS models were 1.72 (1.25-2.36) with UAs being the highest weighing metal(loid). BKMR models showed co-exposure mixture linked to higher CKD risk when the ln-transformed metal(loid)s above their 55th percentile. The ln-transformed UAs and UCdCr was significantly positively associated with CKD risk when the other two ln-transformed metals levels were all fixed at their different percentile levels. Synergism between Cd and Pb was also apparent.
Single As, and Cd exposure were positively associated with an increased CKD risk. Co-exposure to As, Pb and Cd was positively associated with CKD risk, with As playing a dominant role.
砷(As)、铅(Pb)和镉(Cd)等环境污染物暴露可能导致慢性肾病(CKD),它们具有独立的影响,且联合作用的影响尚不清楚。本研究旨在评估这些污染物对 CKD 的影响。
共纳入 1398 名参与者。采用原子荧光法检测尿砷(UAs),石墨炉原子吸收光谱法检测尿镉(UCd)和血铅(BPb)水平。CKD 定义为估算肾小球滤过率(eGFR)<60 ml/min/1.73m2或蛋白尿。采用广义线性模型(GLM)、限制性立方样条(RCS)模型、加权分位数和(WQS)回归以及贝叶斯核机器回归(BKMR)模型来研究 As、Pb 和 Cd 暴露对 CKD 风险的独立和联合作用。
与非 CKD 受试者相比,CKD 受试者的 UAs、UCd、BPb 和肌酐校正尿镉(UCdCr)均显著升高。与最低四分位数相比,UAs、UCd 和 UCdCr 四分位数最高组的 CKD 风险比值比(95%CI)分别为 2.09(1.16-3.74)、2.84(1.56-5.18)和 1.79(1.05-3.06)。在趋势检验中,UAs、UCd 和 UCdCr 均与 CKD 风险呈显著正相关。RCS 模型显示 UAs、UCd、UCdCr 与 CKD 风险之间存在非线性关系,而 BPb 与 CKD 风险之间呈线性剂量反应关系。WQS 模型中的 OR(95%CI)分别为 1.72(1.25-2.36),其中 UAs 的权重最高。BKMR 模型显示,当 ln 转化后的金属(loid)超过第 55 百分位数时,暴露混合物与更高的 CKD 风险相关。当其他两种 ln 转化金属水平固定在不同百分位数水平时,ln 转化后的 UAs 和 UCdCr 与 CKD 风险呈显著正相关。Cd 和 Pb 之间也存在协同作用。
单一 As 和 Cd 暴露与 CKD 风险增加呈正相关。As、Pb 和 Cd 的共同暴露与 CKD 风险呈正相关,其中 As 起主导作用。