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Sex-specific relationships between prenatal exposure to metal mixtures and birth weight in a Chinese birth cohort.
Wu, Ying; Zeng, Fulin; Li, Jinhui; Jiang, Yukang; Zhao, Shi; Knibbs, Luke D; Zhang, Xiaojun; Wang, Yiding; Zhang, Qianqian; Wang, Qiong; Hu, Qiansheng; Guo, Xiaobo; Chen, Yumeng; Cao, Ganxiang; Wang, Jing; Yang, Xingfen; Wang, Xueqin; Liu, Tao; Zhang, Bo.
Afiliación
  • Wu Y; Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China.
  • Zeng F; Guangdong-Hongkong-Macao Joint Laboratory for Contaminants Exposure and Health, School of Public Health, Food Safety and Health Research Center, Guangdong Provincial Key Laboratory of Tropical Disease Research, Southern Medical University, Guangzhou, Guangdong, China.
  • Li J; Department of Urology, Stanford University Medical Center, Stanford, CA, USA.
  • Jiang Y; School of Mathematics, Sun Yat-sen University, Guangzhou, Guangdong, China; Southern China Center for Statistical Science, Sun Yat-sen University, Guangzhou, Guangdong, China.
  • Zhao S; JC School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, China; Chinese University of Hong Kong (CUHK) Shenzhen Research Institute, Shenzhen, Guangdong, China.
  • Knibbs LD; School of Public Health, The University of Sydney, Sydney, New South Wales, Australia.
  • Zhang X; Guangdong-Hongkong-Macao Joint Laboratory for Contaminants Exposure and Health, School of Public Health, Food Safety and Health Research Center, Guangdong Provincial Key Laboratory of Tropical Disease Research, Southern Medical University, Guangzhou, Guangdong, China.
  • Wang Y; Guangdong-Hongkong-Macao Joint Laboratory for Contaminants Exposure and Health, School of Public Health, Food Safety and Health Research Center, Guangdong Provincial Key Laboratory of Tropical Disease Research, Southern Medical University, Guangzhou, Guangdong, China.
  • Zhang Q; School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China.
  • Wang Q; School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China.
  • Hu Q; School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China.
  • Guo X; School of Mathematics, Sun Yat-sen University, Guangzhou, Guangdong, China; Southern China Center for Statistical Science, Sun Yat-sen University, Guangzhou, Guangdong, China.
  • Chen Y; School of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China.
  • Cao G; School of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China.
  • Wang J; Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China.
  • Yang X; Guangdong-Hongkong-Macao Joint Laboratory for Contaminants Exposure and Health, School of Public Health, Food Safety and Health Research Center, Guangdong Provincial Key Laboratory of Tropical Disease Research, Southern Medical University, Guangzhou, Guangdong, China.
  • Wang X; Department of Statistics and Finance/International Institute of Finance, School of Management, University of Science and Technology of China, Hefei, Anhui, China.
  • Liu T; Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, Guangdong, China; Disease Control and Prevention Institute of Jinan University, Jinan University, Guangzhou, Guangdong, China. Electronic address: liutao2021@jnu.edu.cn.
  • Zhang B; Guangdong-Hongkong-Macao Joint Laboratory for Contaminants Exposure and Health, School of Public Health, Food Safety and Health Research Center, Guangdong Provincial Key Laboratory of Tropical Disease Research, Southern Medical University, Guangzhou, Guangdong, China. Electronic address: zhangbo2018
Ecotoxicol Environ Saf ; 262: 115158, 2023 Jun 20.
Article en En | MEDLINE | ID: mdl-37348214
ABSTRACT
Birth weight is an indicator linking intrauterine environmental exposures to later-life diseases, and intrauterine metal exposure may affect birth weight in a sex-specific manner. We investigated sex-specific associations between prenatal exposure to metal mixtures and birth weight in a Chinese birth cohort. The birth weight of 1296 boys and 1098 girls were recorded, and 10 metals in maternal urine samples collected during pregnancy were measured using inductively coupled plasma mass spectrometry. Bayesian Kernel Machine Regression was used to estimate the association of individual metals or metal mixtures and birth weight for gestational age (BW for GA). The model showed a sex-specific relationship between prenatal exposure to metal mixtures and BW for GA with a significant negative association in girls and a non-significant positive association in boys. Cadmium (Cd) and nickel (Ni) were positively and negatively associated with BW for GA in girls, respectively. Moreover, increasing thallium (Tl) concentration lowered the positive association between Cd and BW for GA and enhanced the negative association between Ni and BW for GA in girls. When exposure to other metals increased, the positive association with Cd diminished, whereas the negative association with Ni or Tl increased. Our findings provide evidence supporting the complex effects of intrauterine exposure to metal mixtures on the birth weight of girls and further highlight the sex heterogeneity in fetal development influenced by intrauterine environmental factors.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Ecotoxicol Environ Saf Año: 2023 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Ecotoxicol Environ Saf Año: 2023 Tipo del documento: Article País de afiliación: China