Literature DB >> 31129403

Associations between multiple serum metal exposures and low birth weight infants in Chinese pregnant women: A nested case-control study.

Qingzhi Hou1, Lulu Huang1, Xiaoting Ge1, Aimin Yang2, Xiaoyu Luo1, Sifang Huang1, Yang Xiao3, Chao Jiang1, Longman Li1, Zhijian Pan4, Tao Teng5, Haiying Zhang1, Mujun Li6, Zengnan Mo7, Xiaobo Yang8.   

Abstract

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, Ptrend = 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.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Exposure; Low birth weight; Nested case-control study; Serum metals

Mesh:

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Year:  2019        PMID: 31129403     DOI: 10.1016/j.chemosphere.2019.05.103

Source DB:  PubMed          Journal:  Chemosphere        ISSN: 0045-6535            Impact factor:   7.086


  6 in total

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Journal:  Environ Int       Date:  2022-01-23       Impact factor: 9.621

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Journal:  Sci Total Environ       Date:  2020-01-07       Impact factor: 7.963

4.  Identifying Effects of Urinary Metals on Type 2 Diabetes in U.S. Adults: Cross-Sectional Analysis of National Health and Nutrition Examination Survey 2011-2016.

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Journal:  Nutrients       Date:  2022-04-08       Impact factor: 6.706

5.  The impacts of different anticoagulants and long-term frozen storage on multiple metal concentrations in peripheral blood: a comparative study.

Authors:  Yu Bao; Xiaoting Ge; Longman Li; Junxiu He; Sifang Huang; Xiaoyu Luo; Xing Chen; Pan Chen; Xiaobo Yang
Journal:  Biometals       Date:  2021-08-07       Impact factor: 2.949

6.  Associations of multiple serum biomarkers and the risk of cardiovascular disease in China.

Authors:  Huichen Yao; Chenyang Hou; Weihua Liu; Jihu Yi; Wencong Su; Qingzhi Hou
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  6 in total

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