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Li ZH, Hu CY, Dai SW, Ma HY, Zhang SY, Sun C, Li JH, Huang K, Chen ML, Gao GP, Zhang XJ. Sex-specific associations between maternal exposure to metal mixtures and fetal growth trajectories: A prospective birth cohort study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2025; 959:178291. [PMID: 39733573 DOI: 10.1016/j.scitotenv.2024.178291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2024] [Revised: 12/03/2024] [Accepted: 12/23/2024] [Indexed: 12/31/2024]
Abstract
BACKGROUND The associations of prenatal metals exposure with birth outcomes have been widely assessed. However, evidence on the associations between metal mixtures and fetal intrauterine growth trajectories is scarce. OBJECTIVES This study aimed to explore the associations of metal mixtures with fetal intrauterine growth trajectories overall and by sex. METHODS We analyzed data from the Ma'anshan birth cohort, which included a total of 1041 pregnant woman. The concentrations of 12 metals in maternal blood were measured during early pregnancy, and fetal intrauterine growth indicators were standardized and assessed at 16, 23, 30, 34, and 38 weeks of gestation. We used generalized linear regression and linear mixed models to identify the key fetal growth indicator (biparietal diameter (BPD)), and applied GBTM to characterize BPD SD-scores trajectories. To further assess the individual and combined effects of metals, we conducted multivariable logistic regression and repeated holdouts weighted quantile sum (WQS) regression analyses, respectively. Finally, we performed a sex-stratified analysis to explore sex-specific associations. RESULTS The sex-stratified multivariable logistic regression analysis indicated that in male fetal, cobalt (Co) (OR: 0.60, 95 % CI: 0.38, 0.92) was negatively associated with the high-growth BPD-SD scores trajectory. In contrast, Co (OR: 2.39, 95 % CI: 1.40, 4.45) showed a positive association in female fetal. Results from the WQS showed that early pregnancy metal mixture exposure was associated with BPD-SD scores at 16, 34, and 38 weeks in female fetal. The results highlighted Zn and Co as key metals associated with high-growth BPD SD-scores trajectory. We also identified a significant interaction between early pregnancy metal mixtures and sex on high-growth BPD SD-scores trajectories. The WQS*sex interaction term had a mean odds ratio of 1.271 (95 % CI: 1.027, 1.619). CONCLUSION This study suggests that exposure to prenatal metal mixtures affects fetal intrauterine growth trajectories with sexual dimorphism.
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Affiliation(s)
- Zhen-Hua Li
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei 230032, China
| | - Cheng-Yang Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei 230032, China; Department of Humanistic Medicine, School of Humanistic Medicine, Anhui Medical University, 81 Meishan Road, Hefei 230032, China
| | - Si-Wei Dai
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei 230032, China
| | - Hui-Ya Ma
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei 230032, China; Management & Checkup Center, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei 230022, Anhui, China
| | - Si-Yu Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei 230032, China
| | - Chen Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei 230032, China
| | - Jia-Hui Li
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei 230032, China
| | - Kai Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei 230032, China; Department of Hospital Infection Prevention and Control, The Second Affiliated Hospital of Anhui Medical University, 678 Furong Road, Hefei 230601, China
| | - Mao-Lin Chen
- Department of Gynecology and Obstetrics, Ma'anshan Maternal and Child Health Hospital, Ma'anshan 243000, China
| | - Guo-Peng Gao
- Department of Child Health Care, Ma'anshan Maternal and Child Health Hospital, Ma'anshan 243000, China
| | - Xiu-Jun Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei 230032, China; MOE Key Laboratory of Population Health Across Life Cycle, 81 Meishan Road, Hefei 230032, Anhui, China.
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Yang C, Sun X, Liu H, Yu L, Xu S, Zhou A, Li Y. Prenatal exposure to metal mixtures, body mass index trajectories in early life and effect modifiers: Insights from a prospective birth cohort study. JOURNAL OF HAZARDOUS MATERIALS 2024; 477:135220. [PMID: 39084009 DOI: 10.1016/j.jhazmat.2024.135220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Revised: 07/08/2024] [Accepted: 07/14/2024] [Indexed: 08/02/2024]
Abstract
Current scientific knowledge is insufficient on the effects of metal mixtures on early life growth trajectories. This study included 7118 mother-infant pairs from a Chinese birth cohort. Concentrations of 18 maternal urinary metals were quantified, and growth trajectories were conducted based on standardized body mass index (BMI) for up to eight times from 0 to 2 years. A three-phase analytical framework was applied to explore the risk ratios (RR) and 95 % confidence intervals (95 % CI) of co-exposure to metals on dynamic growth, along with potential modifiers. Five growth trajectory groups were identified. Exposure to metal mixtures driven by thallium (Tl, 34.8 %) and aluminum (Al, 16.2 %) was associated with an increased risk of low-rising trajectory (RR=1.58, 95 % CI: 1.25, 2.00); however, exposure to mixtures driven by strontium (Sr, 49.5 %) exhibited an inverse correlation (RR = 0.81, 95 % CI: 0.67, 0.97). Furthermore, infants with varying levels of Tl, Al and Sr, as well as modifiers including pre-pregnancy BMI and infant sex faced distinct risks of low-rising trajectory. Our findings highlighted the Tl, Al, and Sr as key metals in relation to the low-rising trajectory in early life characterized as catch-up growth, with pre-pregnancy BMI and infant sex exerting as potential modifiers.
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Affiliation(s)
- Chenhui Yang
- Institute of Maternal and Child Health, Wuhan Children's Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430016, People's Republic of China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, Hubei 430030, People's Republic of China
| | - Xiaojie Sun
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, Hubei 430030, People's Republic of China; Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Wuhan University of Science and Technology, Wuhan, Hubei 430065, People's Republic of China
| | - Hongxiu Liu
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, Hubei 430030, People's Republic of China
| | - Ling Yu
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, Hubei 430030, People's Republic of China
| | - Shunqing Xu
- School of Environmental Science and Engineering, Hainan University, Haikou, Hainan 570228, People's Republic of China
| | - Aifen Zhou
- Institute of Maternal and Child Health, Wuhan Children's Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430016, People's Republic of China.
| | - Yuanyuan Li
- Institute of Maternal and Child Health, Wuhan Children's Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430016, People's Republic of China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, Hubei 430030, People's Republic of China.
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3
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Zhou Y, Zhou J, He Y, Fang J, Tang J, Li S, Guo J, Luo Q, Zhong K, Huang K, Chen G. Associations between prenatal metal exposure and growth rate in children: Based on Hangzhou Birth Cohort Study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 916:170164. [PMID: 38242450 DOI: 10.1016/j.scitotenv.2024.170164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Revised: 12/27/2023] [Accepted: 01/12/2024] [Indexed: 01/21/2024]
Abstract
BACKGROUND It has been reported that prenatal metal exposure is associated with child anthropometry. However, studies focusing on the growth rate of anthropometry among children have not been conducted. This study aimed to examine associations between the exposure of multiple metals during pregnancy and the growth rate of anthropometry among offspring. METHODS 743 mother-child pairs from the Hangzhou Birth Cohort Study (HBCS) were included. Levels of eleven metals in mother's blood during pregnancy were measured. Offspring had a mean of 5.7 measurements on anthropometric indicators including weight, length/height, head circumference, and body mass index (BMI) within 1.5 years of birth. Generalized estimating equation (GEE) model was used to investigate the associations between maternal metal exposure and growth rate of anthropometric indicators in children. Stratification analysis by sex was also examined. RESULTS Levels of selenium (Se, β = 0.213, 95 % CI = 0.017 to 0.409, P = 0.033) were positively associated with length/height gain per month in children. Levels of chromium (Cr, β = 0.025, 95 % CI = 0.018 to 0.033, P < 0.001) were positively associated with the rate of weight gain. Levels of manganese (Mn, β = -0.030, 95 % CI = -0.052 to -0.008, P = 0.009) and cobalt (Co, β = -0.012, 95 % CI = -0.024 to -0.000, P = 0.044) were inversely associated with growth rate of head circumference. Children with higher maternal Mn levels had a lower BMI change rate. Associations between metals and growth rate were stronger in girls than in boys. Besides, significant associations between metal mixtures and growth rate were found. CONCLUSION Prenatal exposure to Se, Cr, Mn, and Co was associated with growth rate in children, with sex-specific disparities. Our results suggested important effects of maternal exposure to multiple metals on development in offspring.
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Affiliation(s)
- Yexinyi Zhou
- Department of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310058, China
| | - Jiena Zhou
- Department of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310058, China
| | - Yinyin He
- Department of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310058, China
| | - Jiawei Fang
- Department of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310058, China
| | - Jun Tang
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang 310052, China
| | - Shuai Li
- Department of Clinical Laboratory, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, China
| | - Jing Guo
- Zhejiang Provincial Key Laboratory of Precision Diagnosis and Therapy for Major Gynecological Diseases, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, China
| | - Qiong Luo
- Department of Obstetrics, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, China
| | - Kunhong Zhong
- Department of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310058, China
| | - Kegui Huang
- Department of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310058, China
| | - Guangdi Chen
- Department of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310058, China.
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Matsumoto M, Murakami K, Yuan X, Oono F, Adachi R, Tajima R, Okada E, Nakade M, Sasaki S, Takimoto H. A scoping review of dietary assessment questionnaires potentially suitable for assessing habitual dietary intake in the National Health and Nutrition Survey, Japan. J Nutr Sci 2024; 13:e8. [PMID: 38379590 PMCID: PMC10877143 DOI: 10.1017/jns.2024.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 12/27/2023] [Accepted: 01/12/2024] [Indexed: 02/22/2024] Open
Abstract
This scoping review aimed to identify questionnaire-based dietary assessment methods for use in the National Health and Nutrition Survey (NHNS) in Japan. The search was conducted in three databases (PubMed, Web of Science, and Ichushi) to identify questionnaire such as food frequency questionnaire and dietary history questionnaire validated against dietary recalls or food records for the intakes of both food groups and nutrients among Japanese adults. Study quality was assessed based on previously developed criteria. We extracted the questionnaire characteristics and the design and results of the validation studies. We identified 11 questionnaires, with the number of food items ranging from 40 to 196, from 32 articles of good quality. In the validation studies, participants were aged 30-76 years and 90% of the articles used ≥3 d dietary records as reference. The number of nutrients and food groups with a group-level intake difference within 20% against the reference method ranged from 1 to 30 and 1 to 11, respectively. The range of mean correlation coefficients between questionnaire and reference methods were 0.35-0.57 for nutrients and 0.28-0.52 for food groups. When selecting a survey instrument in the NHNS from the 11 existing questionnaires identified in this study, it is important to select one with high group-level comparison and correlation coefficient values on the intended assessment items after scrutinizing the design and results of the validation study. This review may serve as a reference for future studies that explore dietary assessment tools used for assessing dietary intake in specific representative populations.
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Affiliation(s)
- Mai Matsumoto
- Department of Nutritional Epidemiology and Shokuiku, National Institutes of Biomedical Innovation, Health, and Nutrition, Settsu-shi, Osaka, Japan
| | - Kentaro Murakami
- Department of Social and Preventive Epidemiology, School of Public Health, The University of Tokyo, Bunkyo-ku, Tokyo, Japan
| | - Xiaoyi Yuan
- Department of Nutritional Epidemiology and Shokuiku, National Institutes of Biomedical Innovation, Health, and Nutrition, Settsu-shi, Osaka, Japan
| | - Fumi Oono
- Department of Social and Preventive Epidemiology, Division of Health Sciences and Nursing, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo, Japan
| | - Riho Adachi
- Department of Social and Preventive Epidemiology, School of Public Health, The University of Tokyo, Bunkyo-ku, Tokyo, Japan
| | - Ryoko Tajima
- Department of Nutritional Epidemiology and Shokuiku, National Institutes of Biomedical Innovation, Health, and Nutrition, Settsu-shi, Osaka, Japan
| | - Emiko Okada
- Department of Nutritional Epidemiology and Shokuiku, National Institutes of Biomedical Innovation, Health, and Nutrition, Settsu-shi, Osaka, Japan
- The Health Care Science Institute, Minato-ku, Tokyo, Japan
| | - Makiko Nakade
- Department of Food Science and Nutrition, University of Hyogo, Himeji, Hyogo, Japan
- Research Institute for Food and Nutritional Sciences, Himeji, Hyogo, Japan
| | - Satoshi Sasaki
- Department of Social and Preventive Epidemiology, School of Public Health, The University of Tokyo, Bunkyo-ku, Tokyo, Japan
| | - Hidemi Takimoto
- Department of Nutritional Epidemiology and Shokuiku, National Institutes of Biomedical Innovation, Health, and Nutrition, Settsu-shi, Osaka, Japan
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5
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Liu Y, Chen H, Zhou Y, Lin X, Yang L, Zhan B, Wei Y, Sun R, Yang H, Zhang Z, Deng G. The association of serum toxic metals and essential elements during early pregnancy with body mass index trajectory of infants during the first years: A prospective study. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 269:115766. [PMID: 38039855 DOI: 10.1016/j.ecoenv.2023.115766] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 11/25/2023] [Accepted: 11/27/2023] [Indexed: 12/03/2023]
Abstract
To the best of our knowledge, prior research has yet to delve into the combined and interactive relationships between maternal exposure to essential elements and toxic metals and infancy's continuous growth and trajectories. This study aims to discern infant growth trajectories in the first year of life and to determine the associations of maternal serum levels of essential elements and toxic metals with growth trajectory. Within a Chinese prospective cohort in 2019 - 2021, 407 mother-infant pairs were included, and the serum levels of five essential elements (zinc, calcium, copper, magnesium and iron) and two toxic metals (cadmium and lead) in early pregnancy were assessed. The growth trajectory of infants was followed until age one year. Raw BMI and height values were transformed to age- and sex-specific BMI and height standard deviation (SD) scores. Latent-class group-based trajectory models and piecewise linear mixed regression were estimated to determine infant growth trajectories and growth velocity, respectively. The individual relationship between maternal metallic element levels and infant growth trajectory was examined using multinomial logistic regression models and linear mixed regression, while joint associations and interactive relationships were explored using Bayesian kernel machine regression (BKMR) following confounder adjustments. Four distinct trajectory patterns based on BMI-z score (low-rapid BMI gain group, normal-stable BMI group, very low-rapid BMI gain group and normal-rapid BMI gain group) and length-for-age (high-stable length group, low-stable length group, normal-rapid length gain group, very low-rapid length gain group) were identified during the first year post-birth, respectively. In single-metal and multiple-metal models, infants born to mothers with higher serum Zn and lower serum Cu levels were associated with a normal-rapid BMI gain trajectory during the first year. Serum Cu exhibited a positive correlation with the rate of BMI change solely in infants aged 6-12 months. Further, the BKMR analysis revealed a statistically significant and negative joint effect of the five essential elements on the likelihood of normal-rapid BMI/length gain trajectory when serum levels of these elements fell below the 70th percentile compared to median levels. In addition, high levels of serum copper and calcium interactively affect the rates of BMI change during 6-12 months old (β: -0.21, 95% CI: -0.44, -0.03, P = 0.04, P-interaction=0.04). In conclusion, maternal trace elements at early pregnancy are linked to infant growth patterns and growth velocity in the first year of life.
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Affiliation(s)
- Yao Liu
- Department of Clinical Nutrition, Union Shenzhen Hospital of Huazhong University of Science and Technology, Shenzhen 518000, People's Republic of China
| | - Hengying Chen
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, People's Republic of China
| | - Yingyu Zhou
- Department of Nutrition and Food Hygiene, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510080, People's Republic of China
| | - Xiaoping Lin
- Department of Nutrition and Food Hygiene, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510080, People's Republic of China
| | - Lanyao Yang
- School of Public Health, Ningxia Medical University, Yinchuan 750004, Ningxia, People's Republic of China
| | - Bowen Zhan
- School of Public Health, Ningxia Medical University, Yinchuan 750004, Ningxia, People's Republic of China
| | - Yuanhuan Wei
- Department of Clinical Nutrition, Union Shenzhen Hospital of Huazhong University of Science and Technology, Shenzhen 518000, People's Republic of China; Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Guangzhou 510000, People's Republic of China
| | - Ruifang Sun
- Department of Clinical Nutrition, Union Shenzhen Hospital of Huazhong University of Science and Technology, Shenzhen 518000, People's Republic of China; Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Guangzhou 510000, People's Republic of China
| | - Hongguang Yang
- Department of Clinical Nutrition, Union Shenzhen Hospital of Huazhong University of Science and Technology, Shenzhen 518000, People's Republic of China
| | - Zheqing Zhang
- Department of Nutrition and Food Hygiene, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510080, People's Republic of China
| | - Guifang Deng
- Department of Clinical Nutrition, Union Shenzhen Hospital of Huazhong University of Science and Technology, Shenzhen 518000, People's Republic of China.
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Zhang X, Wei H, Guan Q, Yang X, Yu Q, Zhang M, Xia Y. Maternal Exposure to Trace Elements, Toxic Metals, and Longitudinal Changes in Infancy Anthropometry and Growth Trajectories: A Prospective Cohort Study. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:11779-11791. [PMID: 37525382 DOI: 10.1021/acs.est.3c02535] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/02/2023]
Abstract
Exploration of stage-specific effects of maternal exposure to trace elements and toxic metals on infancy continuous growth and trajectories is critical for early-life health management. Within a Chinese prospective cohort in 2014-2015, a total of 919 mother-infant pairs were included, and the urinary levels of 17 elements including vanadium (V), chromium (Cr), manganese, iron, cobalt, nickel, copper, zinc, arsenic, molybdenum, palladium, cadmium, tin, gold, mercury, thallium, and lead in early (mean: 11.9 weeks), and late pregnancy (mean: 32.4 weeks) were assessed. Standardized anthropometric assessments of infants were conducted at 1, 3, 6, 8, and 12 months of age. A three-step longitudinal and high-dimensional data analysis procedure was carried out to estimate the impacts of exposome on dynamic growth. Early-pregnancy exposures to V and Cr were positively associated with repeated measurements of length-for-age z-scores (LAZ). Six trajectories were identified based on LAZ. Maternal single exposure to V and Cr as well as mixed exposure to trace elements in early pregnancy were associated with raised odds for the high-stable group. Our results suggested positive associations between maternal trace element exposome and infancy dynamic growth. V and Cr were the key elements and the early pregnancy might be the critical window.
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Affiliation(s)
- Xiaochen Zhang
- State Key Laboratory of Reproductive Medicine and Offspring Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Hongcheng Wei
- State Key Laboratory of Reproductive Medicine and Offspring Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Quanquan Guan
- State Key Laboratory of Reproductive Medicine and Offspring Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Xu Yang
- State Key Laboratory of Reproductive Medicine and Offspring Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Qiurun Yu
- State Key Laboratory of Reproductive Medicine and Offspring Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Mingzhi Zhang
- State Key Laboratory of Reproductive Medicine and Offspring Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Yankai Xia
- State Key Laboratory of Reproductive Medicine and Offspring Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China
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7
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Wu Y, Zeng F, Li J, Jiang Y, Zhao S, Knibbs LD, Zhang X, Wang Y, Zhang Q, Wang Q, Hu Q, Guo X, Chen Y, Cao G, Wang J, Yang X, Wang X, Liu T, Zhang B. Sex-specific relationships between prenatal exposure to metal mixtures and birth weight in a Chinese birth cohort. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 262:115158. [PMID: 37348214 DOI: 10.1016/j.ecoenv.2023.115158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 06/14/2023] [Accepted: 06/17/2023] [Indexed: 06/24/2023]
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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Affiliation(s)
- Ying Wu
- Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Fulin Zeng
- 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
| | - Jinhui Li
- Department of Urology, Stanford University Medical Center, Stanford, CA, USA
| | - Yukang Jiang
- School of Mathematics, Sun Yat-sen University, Guangzhou, Guangdong, China; Southern China Center for Statistical Science, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Shi Zhao
- 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
| | - Luke D Knibbs
- School of Public Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Xiaojun Zhang
- 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
| | - Yiding Wang
- 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
| | - Qianqian Zhang
- School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Qiong Wang
- School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Qiansheng Hu
- School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Xiaobo Guo
- School of Mathematics, Sun Yat-sen University, Guangzhou, Guangdong, China; Southern China Center for Statistical Science, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Yumeng Chen
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China
| | - Ganxiang Cao
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China
| | - Jing Wang
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China
| | - Xingfen Yang
- 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
| | - Xueqin Wang
- Department of Statistics and Finance/International Institute of Finance, School of Management, University of Science and Technology of China, Hefei, Anhui, China
| | - Tao Liu
- 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.
| | - Bo Zhang
- 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.
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