Associations of multiple metals exposure with immunoglobulin levels in pregnant women: Hangzhou Birth Cohort Study

IF 5.9 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Jiena Zhou , Lanfei Jin , Yexinyi Zhou , Kunhong Zhong , Kegui Huang , Qi Zhang , Jun Tang , Xue Zhang , Lihe Peng , Shuai Li , Na Lv , Dongdong Yu , Qinheng Zhu , Jing Guo , Qiong Luo , Guangdi Chen
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Abstract

Metal may affect maternal immune function, but few epidemiological studies have reported the associations between multiple-metal exposure and maternal immunoglobulin (Ig) levels. Based on the Hangzhou Birth Cohort Study, 1059 participants were included, and eleven metals in whole blood samples and serum IgA, IgG, IgE and IgM levels were measured. Linear regression, quantile-based g-computation (QGC), and Bayesian kernel machine regression (BKMR) models were used to evaluate the associations. Compared with the first tertile of metal levels, arsenic (As) was negatively associated with IgE (β = -0.25, 95% confidence interval (CI) = -0.48 to -0.02). Moreover, significant associations of manganese (Mn) with IgA, IgG and IgM were demonstrated (β = 0.10, 95% CI = 0.04 to 0.18; β = 0.07, 95% CI = 0.03 to 0.12; β = 0.10, 95% CI = 0.03 to 0.18, respectively). Cadmium (Cd) were associated with higher levels of IgM. QGC models showed the positive association of the metal mixtures with IgA and IgG, with Mn playing a major role. Mn and Cd had positive contributions to IgM, while As had negative contributions to IgE. In the BKMR models, the latent continuous outcomes of IgA and IgG showed a significant increase when all the metals were at their 60th percentile or above compared to those at their 50th percentile. Therefore, exposure to metals was associated with maternal Igs, and mainly showed that Mn was associated with increased levels of IgA, IgG and IgM, and As was associated with low IgE levels.

Abstract Image

多种金属暴露与孕妇免疫球蛋白水平的关系:杭州出生队列研究
金属可能会影响母体的免疫功能,但很少有流行病学研究报道多种金属暴露与母体免疫球蛋白(Ig)水平之间的关系。基于杭州出生队列研究,我们纳入了 1059 名参与者,并测定了全血样本中的 11 种金属以及血清中的 IgA、IgG、IgE 和 IgM 水平。研究采用线性回归、基于量纲的g计算(QGC)和贝叶斯核机器回归(BKMR)模型来评估两者之间的关联。与金属水平的第一梯度相比,砷(As)与 IgE 呈负相关(β = -0.25,95% 置信区间 (CI) = -0.48 至 -0.02)。此外,锰(Mn)与 IgA、IgG 和 IgM 有明显的相关性(β = 0.10,95% CI = 0.04 至 0.18;β = 0.07,95% CI = 0.03 至 0.12;β = 0.10,95% CI = 0.03 至 0.18)。镉(Cd)与较高水平的 IgM 相关。QGC 模型显示,金属混合物与 IgA 和 IgG 呈正相关,其中锰起主要作用。锰和镉与 IgM 呈正相关,而砷与 IgE 呈负相关。在 BKMR 模型中,当所有金属的百分位数都在 60 或以上时,IgA 和 IgG 的潜在连续结果比百分位数在 50 时显著增加。因此,金属暴露与母体 Igs 有关,主要显示锰与 IgA、IgG 和 IgM 水平升高有关,而砷与低 IgE 水平有关。
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来源期刊
Journal of Environmental Sciences-china
Journal of Environmental Sciences-china 环境科学-环境科学
CiteScore
13.70
自引率
0.00%
发文量
6354
审稿时长
2.6 months
期刊介绍: The Journal of Environmental Sciences is an international journal started in 1989. The journal is devoted to publish original, peer-reviewed research papers on main aspects of environmental sciences, such as environmental chemistry, environmental biology, ecology, geosciences and environmental physics. Appropriate subjects include basic and applied research on atmospheric, terrestrial and aquatic environments, pollution control and abatement technology, conservation of natural resources, environmental health and toxicology. Announcements of international environmental science meetings and other recent information are also included.
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