Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China; Guangxi Key Laboratory for Genomic and Personalized Medicine, Nanning, Guangxi, China; Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, Guangxi, China; Guangxi Key Laboratory of Colleges and Universities, Nanning, Guangxi, China; Department of Occupational Health and Environmental Health, School of Public Health of Guangxi Medical University, Nanning, Guangxi, China.
Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong SAR.
Chemosphere. 2019 Sep;231:225-232. doi: 10.1016/j.chemosphere.2019.05.103. Epub 2019 May 16.
To investigate the associations between prenatal exposure to single metal and multiple metals and the risk of low birth weight (LBW), we conducted a nested case-control study of 246 LBW and 406 NBW mother-infant pairs based on a prospective birth cohort study. 22 serum metals were detected by inductively coupled plasma quadruple mass spectrometry (ICP-MS). Categorical analyses showed serum Co and Ti were associated with LBW (Co: 3rd vs 4th. quartile: OR = 1.83, 95%CI: 1.14-2.92, P = 0.043; Ti: 2nd vs. 4th quartile: OR = 0.51, 95% CI: 0.32-0.81, P trend = 0.051), especially gestational age >13 weeks (Co: 3rd vs. 4th quartile: OR = 1.94, 95% CI: 1.13 - 3.32, Ptrend = 0.043; Ti: 2nd vs. 4th quartile: OR = 0.50, 95% CI: 0.30 - 0.84, P trend= 0.073). Cubic spline analyses showed serum Co and serum Ti had non-linearity associations with LBW (Co: P for overall = 0.048, P-nonlinearity = 0.014; Ti: P for overall = 0.015, P- nonlinearity = 0.008). In multi-metal compound exposure model, 15 metals selected by elastic net model were significantly associated with the increased risk of LBW and OR (95%CI) was 5.14 (2.81-9.40). Our study suggested that lower level serum Co was positively associated with LBW and lower level serum Ti was negatively associated with LBW, especially gestational age >13 weeks, and both of them had non-linearity dose-relationships with LBW. And multi-metal compound model was significantly associated with LBW compared with single metal model.
为了研究产前暴露于单一金属和多种金属与低出生体重（LBW）风险之间的关系，我们基于一项前瞻性出生队列研究，对 246 例 LBW 和 406 例 NBW 母婴对进行了嵌套病例对照研究。采用电感耦合等离子体质谱法（ICP-MS）检测 22 种血清金属。分类分析显示，血清 Co 和 Ti 与 LBW 相关（Co：第 3 四分位 vs. 第 4 四分位：OR=1.83，95%CI：1.14-2.92，P=0.043；Ti：第 2 四分位 vs. 第 4 四分位：OR=0.51，95%CI：0.32-0.81，P 趋势=0.051），尤其是孕龄>13 周时（Co：第 3 四分位 vs. 第 4 四分位：OR=1.94，95%CI：1.13-3.32，P 趋势=0.043；Ti：第 2 四分位 vs. 第 4 四分位：OR=0.50，95%CI：0.30-0.84，P 趋势=0.073）。三次样条分析显示，血清 Co 和血清 Ti 与 LBW 呈非线性关系（Co：总体 P=0.048，非线性 P=0.014；Ti：总体 P=0.015，非线性 P=0.008）。在多金属化合物暴露模型中，弹性网络模型选择的 15 种金属与 LBW 风险增加显著相关，OR（95%CI）为 5.14（2.81-9.40）。本研究表明，血清 Co 水平降低与 LBW 呈正相关，血清 Ti 水平降低与 LBW 呈负相关，尤其是孕龄>13 周时，两者与 LBW 均呈非线性剂量-反应关系。与单金属模型相比，多金属化合物模型与 LBW 显著相关。
