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Tang Y, Lyu T, Cao H, Zhang W, Zhang R, Liu S, Guo T, Zhou X, Jiang Y. Recommendations for the reference concentration of cadmium exposure based on a physiologically based toxicokinetic model integrated with a human respiratory tract model. JOURNAL OF HAZARDOUS MATERIALS 2024; 477:135323. [PMID: 39079294 DOI: 10.1016/j.jhazmat.2024.135323] [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: 04/29/2024] [Revised: 07/20/2024] [Accepted: 07/24/2024] [Indexed: 08/17/2024]
Abstract
Cadmium (Cd) poses a significant threat to human health. However, chronic toxicity parameters for inhalation exposure are lacking, especially for noncritical systemic toxic effects. A physiologically based toxicokinetic (PBTK) model can be used to extrapolate toxicity parameters across various exposure routes. We combined a PBTK model with a human respiratory tract (HRT) model, which is applicable to the general population and capable of simulating the deposition and clearance processes of various airborne Cd compounds in the respiratory tract. Monte Carlo analysis was used to simulate the distribution of sensitive parameters to reflect individual variability. Validation based on datasets from general and occupational populations showed that the improved model had acceptable or better predictive performance, outperforming the original model with a 14.45 % decrease in the root mean square error (RMSE). Using this PBTK-HRT model, we extrapolated toxicity parameters from oral exposure to inhalation exposure for four systemic toxic effects with doseresponse relationships but no known inhalation toxicity parameters, and ultimately recommended reference concentrations (RfCs) for four diseases (chronic kidney disease: 0.01 μg/m3, osteoporosis: 0.01 μg/m3, stroke: 0.04 μg/m3, diabetes mellitus: 0.13 μg/m3), contributing to a comprehensive assessment of the health risks of Cd inhalation exposure. ENVIRONMENTAL IMPLICATION: Cadmium (Cd), a heavy metal, can cause lung cancer, chronic kidney disease, and osteoporosis and pose a significant threat to human health. We combined a physiologically based toxicokinetic (PBTK) model with a human respiratory tract (HRT) model to achieve better predictive performance and wider applicability; this model was subsequently employed for route-to-route extrapolation of toxicity parameters. Additionally, for the first time, we focused on multiple subchronic and chronic systemic toxic effects in addition to critical effects and derived their reference concentrations (RfCs), which can be used to assess the health risk of Cd inhalation exposure more comprehensively and accurately.
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Affiliation(s)
- Yilin Tang
- Engineering Research Center of Natural Medicine, Ministry of Education, Beijing Normal University, Beijing, 100875, China; Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
| | - Tong Lyu
- Engineering Research Center of Natural Medicine, Ministry of Education, Beijing Normal University, Beijing, 100875, China; Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
| | - Hongbin Cao
- Engineering Research Center of Natural Medicine, Ministry of Education, Beijing Normal University, Beijing, 100875, China; Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China.
| | - Wei Zhang
- Engineering Research Center of Natural Medicine, Ministry of Education, Beijing Normal University, Beijing, 100875, China; Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
| | - Ruidi Zhang
- Engineering Research Center of Natural Medicine, Ministry of Education, Beijing Normal University, Beijing, 100875, China; Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
| | - Siqi Liu
- Engineering Research Center of Natural Medicine, Ministry of Education, Beijing Normal University, Beijing, 100875, China; Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
| | - Tianqing Guo
- Engineering Research Center of Natural Medicine, Ministry of Education, Beijing Normal University, Beijing, 100875, China; Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
| | - Xu Zhou
- Engineering Research Center of Natural Medicine, Ministry of Education, Beijing Normal University, Beijing, 100875, China; Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
| | - Yanxue Jiang
- College of Environment and Ecology, Chongqing University, Chongqing 400045, China
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Wu C, Tan Y, Wei X, Li X, Sun S, Lyu B, Shen Z, Wei X, Xiao S, Ruan Y, Yu J, He G, Zheng W, Li J. Bayesian analysis of physiologically based toxicokinetic (PBTK) modeling for pentachlorophenol exposure in pregnant women. Toxicol In Vitro 2024; 99:105853. [PMID: 38806067 DOI: 10.1016/j.tiv.2024.105853] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Revised: 05/18/2024] [Accepted: 05/21/2024] [Indexed: 05/30/2024]
Abstract
Pentachlorophenol (PCP) is a persistent organic compound that is widely present in the environment. The estimation of internal exposure levels for a given external exposure using toxicokinetic models is key to the human health risk assessment of PCP. The present study developed a physiologically based multicompartmental pharmacokinetic (PBTK) model to describe and predict the behavior of pentachlorophenol (PCP) in an organism. The model consists of stomach, intestines, adipose tissue, kidneys and fast- and poorly perfused tissues that are interconnected via blood circulation. We constructed a PBTK model of PCP in rats and extrapolated it to human dietary PCP exposure. The toxicokinetic data of PCP in human tissues and excreta were obtained from the published literature. Based on the collected PCP dietary survey and internal exposure data of pregnant women in Shanghai, Bayesian statistical analysis was performed for the model using Markov chain Monte Carlo (MCMC) simulation. The posterior distributions of the sensitive parameters were estimated, and the model was parameter optimized and validated using the pregnant women's test dataset. The results showed that the root mean square error (RMSE) improved 37.3% compared to the original model, and a systematic literature search revealed that the optimized model achieved acceptable prediction results for other datasets in China. A PCP metabolism model based on the exposure characteristics of pregnant women in China was constructed in the present study. The model provides a theoretical basis for the study of PCP toxicity and risk assessment.
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Affiliation(s)
- Chunfeng Wu
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - Yajiao Tan
- Key Laboratory of Public Health Safety, Ministry of Education, Department of Environmental Health, School of Public Health, Fudan University, Shanghai 200032, China
| | - Xiaoyi Wei
- Department of Food Science, College of Hospitality of Management, Shanghai Business School, Shanghai 200235, PR China
| | - Xun Li
- School of Public Health/Key Laboratory of Public Health Safety, Ministry of Education, Department of Nutrition and Food Science, Fudan University, Shanghai 200032, China
| | - Sifei Sun
- Community Health Service Center of Jiangqiao Town, Jiading District, Shanghai, China
| | - Bing Lyu
- Research Unit of Food Safety, Chinese Academy of Medical Sciences (No. 2019RU014), China; NHC Key Lab of Food Safety Risk Assessment, China; China National Center for Food Safety Risk Assessment, Beijing 100021, PR China
| | - Zhen Shen
- Department of Pediatric Surgery, Children's Hospital of Fudan University, Shanghai 201102, China
| | - Xiao Wei
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi 530021, China
| | - Shuo Xiao
- Department of Pharmacology and Toxicology, Ernest Mario School of Pharmacy, Environmental and Occupational Health Sciences Institute, Rutgers University, Piscataway, NJ 08854, USA
| | - Yuanyuan Ruan
- Department of Biochemistry and Molecular Biology Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Jun Yu
- Department of Obstetrics, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai 200092, China.
| | - Gengsheng He
- School of Public Health/Key Laboratory of Public Health Safety, Ministry of Education, Department of Nutrition and Food Science, Fudan University, Shanghai 200032, China.
| | - Weiwei Zheng
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China; Key Laboratory of Public Health Safety, Ministry of Education, Department of Environmental Health, School of Public Health, Fudan University, Shanghai 200032, China; Key Laboratory of Health Technology Assessment, National Health Commission of the People's Republic of China, Fudan University, Shanghai 200032, China.
| | - Jingguang Li
- Research Unit of Food Safety, Chinese Academy of Medical Sciences (No. 2019RU014), China; NHC Key Lab of Food Safety Risk Assessment, China; China National Center for Food Safety Risk Assessment, Beijing 100021, PR China
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Zhu H, Tang X, Gu C, Chen R, Liu Y, Chu H, Zhang Z. Assessment of human exposure to cadmium and its nephrotoxicity in the Chinese population. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 918:170488. [PMID: 38296064 DOI: 10.1016/j.scitotenv.2024.170488] [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: 11/01/2023] [Revised: 01/23/2024] [Accepted: 01/24/2024] [Indexed: 02/09/2024]
Abstract
BACKGROUND Cadmium (Cd) is a toxic heavy metal that widely detected in environment and accumulated in kidney, posing a great threat to human health. However, there is a lack of systematic investigation of exposure profile and association of Cd exposure with renal function in the Chinese population. METHODS Related articles were searched from PubMed, Web of Science, China National Knowledge Internet, and Wanfang to construct an aggregate exposure pathway (AEP) framework for Cd and to explore the correlation between Cd and renal function using random effects models. RESULTS A total of 220 articles were included in this study, among which 215 investigated human exposure and 12 investigated the association of Cd with renal outcomes. The AEP framework showed that 96.5 % and 62.5 % of total Cd intake were attributed to dietary intake in nonsmokers and smokers, respectively. And 35.2 % originated from cigarette smoke inhalation in smokers. In human body, Cd was detected in blood, urine, placenta, etc. Although the concentrations of Cd in blood and urine from subjects living in polluted areas showed a sharp downward trend since the early 21st century, higher concentration of Cd in the environment and human body in polluted areas was found. Kidney was the target organ. The level of blood Cd was positively associated with urinary β2-microglobulin [β2-MG, r (95 % CI) = 0.12 (0.05, 0.19)], albumin [0.13 (0.06, 0.20)], and retinol-binding protein [RBP, 0.14 (0.03, 0.24)]. Elevated urinary Cd was correlated with increases in β2-MG [0.22 (0.15, 0.29)], albumin [0.23 (0.16, 0.29)], N-acetyl-β-d-glucosaminidase [NAG, 0.33 (0.22, 0.44)], and RBP [0.22 (0.14, 0.30)]. CONCLUSIONS Foods and cigarette smoke were two major ways for Cd intake, and Cd induced renal injury in the Chinese population. This study enhanced the understanding of human exposure and nephrotoxicity of Cd, and emphasized the need for controlling Cd level in polluted areas.
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Affiliation(s)
- Huanhuan Zhu
- Departments of Environmental Genomics and Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health; Institute of Clinical Research, The Affiliated Taizhou People's Hospital of Nanjing Medical University; Department of Urology, The Yancheng School of Clinical Medicine of Nanjing Medical University (The Third People's Hospital of Yancheng), Nanjing Medical University, Nanjing, China
| | - Xiying Tang
- Departments of Genetic Toxicology and Environmental Genomics, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Chunyan Gu
- Department of Pathology, Affiliated Nantong Hospital 3 of Nantong University (Nantong Third People's Hospital), China
| | - Riming Chen
- Departments of Genetic Toxicology and Environmental Genomics, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Yadong Liu
- Department of Urology, The Yancheng School of Clinical Medicine of Nanjing Medical University (The Third People's Hospital of Yancheng), Yancheng, China
| | - Haiyan Chu
- Departments of Genetic Toxicology and Environmental Genomics, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, China.
| | - Zhengdong Zhang
- Departments of Environmental Genomics and Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health; Institute of Clinical Research, The Affiliated Taizhou People's Hospital of Nanjing Medical University; Department of Urology, The Yancheng School of Clinical Medicine of Nanjing Medical University (The Third People's Hospital of Yancheng), Nanjing Medical University, Nanjing, China.
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Sun J, Shao Y, He G, Wu Y. Statement on Establishment of A Provisional Health Based Guidance Value for Dietary Exposure to Cadmium in China. China CDC Wkly 2023; 5:499-503. [PMID: 37408618 PMCID: PMC10318555 DOI: 10.46234/ccdcw2023.094] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 05/29/2023] [Indexed: 07/07/2023] Open
Affiliation(s)
- Jinfang Sun
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing City, Jiangsu Province, China
- Department of Epidemiology and Biostatistics, School of Public Health, Southeast University, Nanjing City, Jiangsu Province, China
| | - Yi Shao
- Research Unit of Food Safety, Chinese Academy of Medical Sciences; NHC Key Laboratory of Food Safety Risk Assessment, China National Center for Food Safety Risk Assessment, Beijing, China
| | - Gengsheng He
- School of Public Health/Key Laboratory of Public Health Safety, Ministry of Education, Department of Nutrition and food science, Fudan University, Shanghai, China
| | - Yongning Wu
- Research Unit of Food Safety, Chinese Academy of Medical Sciences; NHC Key Laboratory of Food Safety Risk Assessment, China National Center for Food Safety Risk Assessment, Beijing, China
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Qing Y, Zheng J, Tang T, Li S, Cao S, Luo Y, Chen Y, He W, Wang J, Zhou Y, Xu C, Zhang W, Ping S, Jiang M, Li D, Ji Y, Yang S, Du J, Li Y. Risk assessment of combined exposure to lead, cadmium, and total mercury among the elderly in Shanghai, China. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 256:114874. [PMID: 37054469 DOI: 10.1016/j.ecoenv.2023.114874] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Revised: 03/22/2023] [Accepted: 04/04/2023] [Indexed: 06/19/2023]
Abstract
Lead (Pb), cadmium (Cd) and total mercury (THg) are toxic heavy metals (THMs) that are widely present in the environment and can cause substantial health problems. However, previous risk assessment studies have rarely focused on the elderly population and have usually targeted a single heavy metal, which might underestimate the long-term accumulative and synergistic effects of THMs in humans. Based on the food frequency questionnaire and inductively coupled plasma mass spectrometry, this study assessed external and internal exposures to Pb, Cd and THg in 1747 elderly people in Shanghai. Probabilistic risk assessment with the relative potential factor (RPF) model was used to assess the neurotoxicity and nephrotoxicity risks of combined THMs exposures. The mean external exposures of Pb, Cd and THg in Shanghai elderly were 46.8, 27.2 and 4.9 μg/day, respectively. Plant-based foods are the main source of Pb and THg exposure, while Cd is mainly from animal-based foods. The mean concentrations of Pb, Cd and THg were 23.3, 1.1 and 2.3 μg/L in the whole blood, and 6.2, 1.0 and 2.0 μg/L in the morning urine, respectively. Combined exposure to THMs leading to 10.0 % and 7.1 % of Shanghai elderly at risk of neurotoxicity and nephrotoxicity. The results of this study have important implications for understanding the profiles of Pb, Cd and THg exposure in the elderly living in Shanghai and provide data support for risk assessment and control of nephrotoxicity and neurotoxicity from combined THMs exposure in the elderly.
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Affiliation(s)
- Ying Qing
- Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, Shanghai 201300, China; Shanghai University of Medicine & Health Sciences, Shanghai 201318, China
| | | | - TianRan Tang
- Guizhou Meteorological Observatory, Guizhou 550081, China
| | - Shichun Li
- Shanghai University of Medicine & Health Sciences, Shanghai 201318, China
| | - Shiyu Cao
- Shanghai University of Medicine & Health Sciences, Shanghai 201318, China
| | - Yingyi Luo
- Shanghai University of Medicine & Health Sciences, Shanghai 201318, China
| | - Yanfeng Chen
- Shanghai University of Medicine & Health Sciences, Shanghai 201318, China
| | - Wenting He
- Shanghai University of Medicine & Health Sciences, Shanghai 201318, China
| | - Jutao Wang
- Shanghai University of Medicine & Health Sciences, Shanghai 201318, China
| | - Yang Zhou
- Shanghai University of Medicine & Health Sciences, Shanghai 201318, China
| | - Chenchen Xu
- Shanghai University of Medicine & Health Sciences, Shanghai 201318, China
| | - Weiwen Zhang
- Shanghai University of Medicine & Health Sciences, Shanghai 201318, China
| | - Siyuan Ping
- Shanghai University of Medicine & Health Sciences, Shanghai 201318, China
| | - Meng Jiang
- Shanghai University of Medicine & Health Sciences, Shanghai 201318, China
| | - Dan Li
- Shanghai University of Medicine & Health Sciences, Shanghai 201318, China
| | - Yunhe Ji
- Shanghai University of Medicine & Health Sciences, Shanghai 201318, China
| | - Shuyu Yang
- Nutrilite Health Institute, Shanghai 201203, China
| | - Jun Du
- Nutrilite Health Institute, Shanghai 201203, China.
| | - Yanfei Li
- Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, Shanghai 201300, China.
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Yang S, Yang D, Taylor D, He M, Liu X, Xu J. Tracking cadmium pollution from source to receptor: A health-risk focused transfer continuum approach. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 867:161574. [PMID: 36640872 DOI: 10.1016/j.scitotenv.2023.161574] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/24/2022] [Revised: 12/29/2022] [Accepted: 01/09/2023] [Indexed: 06/17/2023]
Abstract
Cadmium (Cd) exposure poses a substantial risk to human health. Despite this, the multi-stage process through which Cd is released to the environment before being taken up and impacting human receptors has rarely been investigated. Here we utilized an integrated model involving Cd emissions, atmospheric transport, deposition, uptake by rice, receptor ingestion and metabolic processing in quantifying the critical emission sources and human health risks of Cd. Atmospheric Cd emissions in the study area in southeastern China were estimated at 147 kg (2016), with >53 % of emissions from non-ferrous metals (NFM) smelting activities. Atmospheric Cd depositions caused elevated Cd content in soil and rice, accounting for 3-79 % and 50-85 % of, respectively, soil and rice Cd. Cumulative frequency analysis showed that an estimated 1.3 % of predicted urine Cd through the consumption of Cd-contaminated rice and exceeded existing safety standards (1 μg g-1), thus highlighting the risks posed to health from high levels of Cd pollution. Applying stricter industrial emission standards to the NFM sector in particular and effective soil management practices could substantially reduce exposure to Cd pollution. The results contribute to understanding of the Cd transfer process and draw attention to the relative health benefits of interventions aimed at mitigating Cd levels and exposure risks at different stages along the Cd transfer continuum from source to receptor.
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Affiliation(s)
- Shiyan Yang
- College of Environmental & Resource Sciences, Zhejiang Provincial Key Laboratory of Agricultural Resources and Environment, Zhejiang University, Hangzhou 310058, China; Eco-Environmental Protection Institution, Shanghai Academy of Agricultural Sciences, 201403, China
| | - Dong Yang
- College of Environmental & Resource Sciences, Zhejiang Provincial Key Laboratory of Agricultural Resources and Environment, Zhejiang University, Hangzhou 310058, China
| | - David Taylor
- Department of Geography, National University of Singapore, 117650, Singapore
| | - Mingjiang He
- Institute of Agricultural Resources and Environment, Sichuan Academy of Agricultural Sciences, Chengdu 610066, China
| | - Xingmei Liu
- College of Environmental & Resource Sciences, Zhejiang Provincial Key Laboratory of Agricultural Resources and Environment, Zhejiang University, Hangzhou 310058, China.
| | - Jianming Xu
- College of Environmental & Resource Sciences, Zhejiang Provincial Key Laboratory of Agricultural Resources and Environment, Zhejiang University, Hangzhou 310058, China
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7
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Zhang Y, Liu Z, Wang Z, Gao H, Wang Y, Cui M, Peng H, Xiao Y, Jin Y, Yu D, Chen W, Wang Q. Health risk assessment of cadmium exposure by integration of an in silico physiologically based toxicokinetic model and in vitro tests. JOURNAL OF HAZARDOUS MATERIALS 2023; 443:130191. [PMID: 36272375 DOI: 10.1016/j.jhazmat.2022.130191] [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: 06/25/2022] [Revised: 10/10/2022] [Accepted: 10/11/2022] [Indexed: 06/16/2023]
Abstract
Cadmium (Cd) is a common environmental pollutant that can damage multiple organs, including the kidney. To prevent renal effects, international authorities have set health-based guidance values of Cd from epidemiological studies. To explore the health risk of Cd exposure and whether human equivalent doses (HEDs) derived from in vitro tests match the current guidance values, we integrated renal tubular epithelial cell-based assays with a physiologically based toxicokinetic model combined with the Monte Carlo method. For females, the HEDs (μg/kg/week) derived from KE2 (DNA damage), KE3 (cell cycle arrest), and KE4 (apoptosis) were 0.20 (2.5th-97.5th percentiles: 0.09-0.48), 0.52 (0.24-1.26), and 2.73 (1.27-6.57), respectively; for males the respective HEDs were 0.23 (0.10-0.49), 0.60 (0.27-1.30), and 3.11 (1.39-6.78). Among them, HEDKE4 (female) was close to the tolerable weekly intake (2.5 μg/kg/week) set by the European Food Safety Authority. The margin of exposure (MOE) derived from HEDKE4 (female) indicated that risks of renal toxicity for populations living in cadmium-contaminated regions should be of concern. This study provided a new approach methodology (NAM) for environmental chemical risk assessment using in silico and in vitro methods.
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Affiliation(s)
- Yangchun Zhang
- Department of Toxicology, School of Public Health, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Ziqi Liu
- Department of Toxicology, School of Public Health, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Ziwei Wang
- Department of Toxicology, School of Public Health, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Huan Gao
- Department of Toxicology, School of Public Health, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Yuqing Wang
- Department of Toxicology, School of Public Health, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Mengxing Cui
- Department of Toxicology, School of Public Health, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Honghao Peng
- Department of Toxicology, School of Public Health, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Yongmei Xiao
- Department of Toxicology, School of Public Health, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Yuan Jin
- School of Public Health, Qingdao University, Qingdao, China
| | - Dianke Yu
- School of Public Health, Qingdao University, Qingdao, China
| | - Wen Chen
- Department of Toxicology, School of Public Health, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Qing Wang
- Department of Toxicology, School of Public Health, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-sen University, Guangzhou 510080, China.
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8
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Development of physiologically based toxicokinetic models for 3-monochloropropane-1,2-diol and glycidol. Food Chem Toxicol 2023; 172:113555. [PMID: 36493944 DOI: 10.1016/j.fct.2022.113555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 11/25/2022] [Accepted: 12/05/2022] [Indexed: 12/12/2022]
Abstract
3-Monochloropropane-1,2-diol (3-MCPD), glycidol, together with their fatty acid esters are commonly presented in various food and have shown carcinogenicity in various laboratory animals. Public health risk assessment of 3-MPCD and glycidol exposure relies on quantitative tools that represent their in vivo toxicokinetics. In order to better understand the absorption, distribution, metabolism, and excretion profiles of 3-MCPD and glycidol in male rats, a physiologically based pharmacokinetic (PBTK) model was developed. The model's predictive power was evaluated by comparing in silico simulations to in vivo time course data obtained from experimental studies. Results indicate that our PBTK model successfully captured the toxicokinetics of both free chemicals in key organs, and their metabolites in accessible biological fluids. With the validated PBTK model, we then gave an animal-free example on how to extrapolate the toxicological knowledge acquired from a single gavage to a realistic dietary intake scenario. Three biomarkers, free compound in serum, urinary metabolite DHPMA, and glycidol-hemoglobin adduct (diHOPrVal) were selected for in silico simulation following constant dietary intakes, and their internal levels were correlated with proposed external daily exposure via reverse dosimetry approaches. Taken together, our model provides a computational approach for extrapolating animal toxicokinetic experiments to biomonitoring measurement and risk assessment.
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9
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Zhang L, Jiang J, Jia W, Wan X, Li Y, Jiao J, Zhang Y. Physiologically-based toxicokinetic model for the prediction of perchlorate distribution and its application. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 318:120856. [PMID: 36513174 DOI: 10.1016/j.envpol.2022.120856] [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: 08/30/2022] [Revised: 11/16/2022] [Accepted: 12/09/2022] [Indexed: 06/17/2023]
Abstract
Perchlorate is a stable and readily transportable thyroid hormone disruptor, and prevalent exposure to perchlorate through food and drinking water has raised public concern about its health effects. The physiologically based toxicokinetic (PBTK) model as a dose prediction method is effective to predict the toxicant exposure dose of an organism and helps quantitatively assess the dose-dependent relationship with toxic effects. The current study aimed to establish a multi-compartment PBTK model based on updated time-course datasets of single oral exposure to perchlorate in rats. With adjustment of the kinetic parameters, the model fitted well the toxicokinetic characteristics of perchlorate in urine, blood, and thyroid from our experiments and the literature, and the coefficient of determination (R2) between the fitting values and the experimental data in regression analysis was greater than 0.91, indicating the robustness of the current model. The results of sensitivity analysis and daily repeated exposure simulations together confirmed its effective renal clearance. According to the distribution characteristic of perchlorate, a correlation study of internal and external exposure was conducted using urinary perchlorate as a bioassay indicator. The developed multi-compartment model for perchlorate updates important toxicokinetic data and kinetic parameters, providing analytical and modeling tools for deriving total exposure levels in the short term.
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Affiliation(s)
- Lange Zhang
- Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, Zhejiang, China; Department of Nutrition, School of Public Health, Zhejiang University School of Medicine, 866 Yuhangtang Road, Hangzhou, 310058, Zhejiang, China
| | - Jiahao Jiang
- Department of Food Science and Nutrition, College of Biosystems Engineering and Food Science, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310058, Zhejiang, China
| | - Wei Jia
- Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, Zhejiang, China; Department of Food Science and Nutrition, College of Biosystems Engineering and Food Science, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310058, Zhejiang, China
| | - Xuzhi Wan
- Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, Zhejiang, China; Department of Food Science and Nutrition, College of Biosystems Engineering and Food Science, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310058, Zhejiang, China
| | - Yaoran Li
- Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, Zhejiang, China; Department of Food Science and Nutrition, College of Biosystems Engineering and Food Science, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310058, Zhejiang, China
| | - Jingjing Jiao
- Department of Nutrition, School of Public Health, Zhejiang University School of Medicine, 866 Yuhangtang Road, Hangzhou, 310058, Zhejiang, China
| | - Yu Zhang
- Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, Zhejiang, China; Department of Food Science and Nutrition, College of Biosystems Engineering and Food Science, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310058, Zhejiang, China.
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10
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Cheng H, Huang Y, Zhu Z, Yu M, Xu W, Li Z, Xiao Y. Experimental and theoretical studies on the adsorption characteristics of Si/Al-based adsorbents for lead and cadmium in incineration flue gas. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 858:159895. [PMID: 36336052 DOI: 10.1016/j.scitotenv.2022.159895] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 10/17/2022] [Accepted: 10/29/2022] [Indexed: 06/16/2023]
Abstract
Si/Al-based adsorbents are effective adsorbents for capturing heavy metals in incineration flue gases at high temperatures in the furnace. In this work, the adsorption characteristics and adsorption mechanisms of Si/Al-based adsorbents for lead and cadmium vapors were studied using a combination of experimental and density functional theory (DFT) calculations. The trapping performance of a series of Si/Al-based adsorbents for Pb and Cd vapors was investigated using a self-designed gas-solid two-phase rapid adsorption experimental system. The results showed that kaolinite and montmorillonite exhibited better heavy metal adsorption capacity than SiO2 and Al2O3, and were significantly stronger for Pb than for Cd. Chemisorption dominated the capture of Pb/Cd by Si/Al-based adsorbents at high temperatures. The results of DFT calculations indicated that the chemisorption mechanisms dominated the adsorption of Pb and Cd species on the metakaolinite (001) surface, and the adsorption energy of Pb species on the metakaolinite surface was greater than that of Cd species. The exposed O atoms and unsaturated Al atoms of metakaolinite (001) surface were effective adsorption active sites for heavy metals and their chlorides. In the adsorption reaction, the binding of Pb/Cd atoms and surface exposed O sites, as well as the strong interaction between Cl and unsaturated Al atoms, were responsible for the capture of Pb and Cd chlorides by metakaolinite.
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Affiliation(s)
- Haoqiang Cheng
- Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, School of Energy and Environment, Southeast University, Nanjing 210096, China
| | - Yaji Huang
- Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, School of Energy and Environment, Southeast University, Nanjing 210096, China.
| | - Zhicheng Zhu
- Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, School of Energy and Environment, Southeast University, Nanjing 210096, China
| | - Mengzhu Yu
- Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, School of Energy and Environment, Southeast University, Nanjing 210096, China
| | - Wentao Xu
- Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, School of Energy and Environment, Southeast University, Nanjing 210096, China
| | - Zhiyuan Li
- Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, School of Energy and Environment, Southeast University, Nanjing 210096, China
| | - Yixuan Xiao
- Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, School of Energy and Environment, Southeast University, Nanjing 210096, China
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11
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Zhang Z, Hu M, Xuan D, Wu L, Zhang Y, He G, Zhou Y. Physiologically based pharmacokinetic (PBPK) modeling of BDE-209 following oral exposure in Chinese population. Food Chem Toxicol 2022; 169:113416. [PMID: 36096292 DOI: 10.1016/j.fct.2022.113416] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 07/15/2022] [Accepted: 09/03/2022] [Indexed: 11/27/2022]
Abstract
The wide usage of decabromodiphenyl ether (BDE-209) as additive brominated flame retardant has caused its widespread occurrence in the environment and high exposure risk in humans. Estimating its internal exposure dose and reconstruction of external exposure dose using physiologically based pharmacokinetic (PBPK) modelling approach is a key step in the risk assessment of BDE-209. However, the PBPK model for BDE-209 is currently unavailable. This study has established two oral permeability-limited PBPK models of BDE-209 without enterohepatic recirculation (EHR) (model 1) and with EHR (model 2) for Chinese population. Using the in vitro experiments, the average binding of BDE-209 to human plasma protein (99.64% ± 2.97%) was obtained. Moreover, blood sample analysis and systematic literature review were performed to obtain internal and external exposure data of BDE-209 used for model calibration and validation. The predictions of both models were within 2-fold of the observed, and a longer half-life of serum BDE-209 was observed in model 2 than model 1. Based on the models, a human biomonitoring guidance value (HBM-GV) of 93.61 μg/g lw was derived for BDE-209, and there is no health risk found for Chinese population currently. This study provides new quantitative assessment tools for health risk assessment of BDE-209.
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Affiliation(s)
- Zhichun Zhang
- Centers for Water and Health, Key Laboratory of Public Health Safety, Ministry of Education, Key Lab of Health Technology Assessment, National Health Commission of the Peoples' republic of China, Fudan University, Shanghai, 200032, China; School of Public Health, Fudan University, Shanghai, 200032, China; Pudong New Area Center for Disease Control and Prevention, Fudan University Pudong Institute of Preventive Medicine, Shanghai, 200136, China
| | - Man Hu
- Centers for Water and Health, Key Laboratory of Public Health Safety, Ministry of Education, Key Lab of Health Technology Assessment, National Health Commission of the Peoples' republic of China, Fudan University, Shanghai, 200032, China; School of Public Health, Fudan University, Shanghai, 200032, China; Pudong New Area Center for Disease Control and Prevention, Fudan University Pudong Institute of Preventive Medicine, Shanghai, 200136, China
| | - Dongliang Xuan
- Jiading District Center for Disease Control and Prevention, Shanghai, 201899, China
| | - Linying Wu
- Jiading District Center for Disease Control and Prevention, Shanghai, 201899, China
| | - Yanfei Zhang
- Centers for Water and Health, Key Laboratory of Public Health Safety, Ministry of Education, Key Lab of Health Technology Assessment, National Health Commission of the Peoples' republic of China, Fudan University, Shanghai, 200032, China; School of Public Health, Fudan University, Shanghai, 200032, China; Pudong New Area Center for Disease Control and Prevention, Fudan University Pudong Institute of Preventive Medicine, Shanghai, 200136, China
| | - Gengsheng He
- Centers for Water and Health, Key Laboratory of Public Health Safety, Ministry of Education, Key Lab of Health Technology Assessment, National Health Commission of the Peoples' republic of China, Fudan University, Shanghai, 200032, China; School of Public Health, Fudan University, Shanghai, 200032, China
| | - Ying Zhou
- Centers for Water and Health, Key Laboratory of Public Health Safety, Ministry of Education, Key Lab of Health Technology Assessment, National Health Commission of the Peoples' republic of China, Fudan University, Shanghai, 200032, China; School of Public Health, Fudan University, Shanghai, 200032, China; Pudong New Area Center for Disease Control and Prevention, Fudan University Pudong Institute of Preventive Medicine, Shanghai, 200136, China.
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12
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Yang J, Wang J, Liao X, Tao H, Li Y. Chain modeling for the biogeochemical nexus of cadmium in soil-rice-human health system. ENVIRONMENT INTERNATIONAL 2022; 167:107424. [PMID: 35908392 DOI: 10.1016/j.envint.2022.107424] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/12/2022] [Revised: 06/18/2022] [Accepted: 07/18/2022] [Indexed: 06/15/2023]
Abstract
This paper presents a novel chain model named soil-food-human (SFH) for clarifying the biogeochemical cascades among the triple challenges of cadmium contamination, food safety, and related public health effect. The model was developed based on the integration of spatial distribution pattern of soil environment and the biogeochemical process of cadmium in soil-rice-human health, and it was validated through a case study. In soil environment terms, SFH predicted the spatial distribution of soil properties with an average prediction accuracy of 82.28%. In food production terms, the SFH can identify the safe production zones for planting rice and unsafe area for adjusting croppingsystems with a relative error of 39.41%. In food consumption terms, SFH mapped the high-resolution map of cadmium exposure dose, which gives a new solution to assess the food safety risks for self-sufficient populations. For the health effect of rice cadmium exposure, SFH simulated the spatiotemporal pattern of urinary cadmium based on toxicokinetic which revealed the health effect of rice cadmium exposure. The chain model provides a new insight in understanding the biogeochemical cascades between food production, food safety, and public health, making it possible to develop a comprehensive strategy to tackle cadmium pollution in soil-rice-human health system.
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Affiliation(s)
- Jintao Yang
- State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jinfeng Wang
- State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Xiaoyong Liao
- University of Chinese Academy of Sciences, Beijing 100049, China; Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
| | - Huan Tao
- University of Chinese Academy of Sciences, Beijing 100049, China; Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - You Li
- University of Chinese Academy of Sciences, Beijing 100049, China; Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
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13
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Zhu YS, Yang JQ, Wang N, Deng ZQ, Qing Y, Wu M, Cai H, Liu H, He GS. Estimation of the bio-accessibility of methylmercury from aquatic foods using a PBTK model with an approximate Bayesian computation method in Chinese pregnant women. Food Chem Toxicol 2022; 168:113372. [PMID: 35985365 DOI: 10.1016/j.fct.2022.113372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 07/12/2022] [Accepted: 08/11/2022] [Indexed: 10/15/2022]
Abstract
BACKGROUND Fish are the primary source of protein and docosahexaenoic acid (DHA) for pregnant women and children, but methylmercury (MeHg) pollution is the potential hazard of fish consumption. In risk assessments, the bio-accessibility of MeHg is usually assumed to be 100%, which could lead to overestimation of dietary exposure. METHOD An existing PBTK model was adapted to estimate parameters of the bio-accessibility based on MeHg exposure data from a cohort of 397 Chinese pregnant women. The posterior distributions of parameters were determined by using the ABC - MCMC. RMSEP and Spearman's rank correlation coefficients (Rho) were calculated to determine the goodness of model fitting. The Monte Carlo analysis was performed for the parameter distributions to estimate the model variability. RESULT The median of daily MeHg intake and maternal MeHg levels were 0.018 μg/kg bw and 3.01 μg/kg in the early and middle terms of pregnancy. The estimated bio-accessibility of freshwater fish, marine fish and others were 46.1, 17.3 and 58.2%, separately. The RMSEP improved from 11.18 to 2.54 and the Rho improved from 0.19 to 0.22 after bio-accessibility optimization. The model variability was estimated to be 2.6. CONCLUSION The bio-accessibility estimated in this study was comparable to that determined in previous in vitro studies. The optimized model could improve the prediction performance on the MeHg body burden by dietary exposure.
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Affiliation(s)
- Yuan-Shen Zhu
- School of Public Health, Fudan University, Shanghai, 200032, China; Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China (Fudan University), Shanghai, 200032, China
| | - Jia-Qi Yang
- School of Public Health, Fudan University, Shanghai, 200032, China; Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China (Fudan University), Shanghai, 200032, China
| | - Na Wang
- Nursing Department, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, 200090, China
| | - Ze-Qun Deng
- School of Public Health, Fudan University, Shanghai, 200032, China; Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China (Fudan University), Shanghai, 200032, China
| | - Ying Qing
- College of Medical Technology, Shanghai University of Medicine & Health Sciences, Shanghai, 201318, China
| | - Min Wu
- School of Public Health, Fudan University, Shanghai, 200032, China; Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China (Fudan University), Shanghai, 200032, China
| | - Hua Cai
- Shanghai Center for Disease Control and Prevention, Shanghai, 200336, China
| | - Hong Liu
- Shanghai Center for Disease Control and Prevention, Shanghai, 200336, China
| | - Geng-Sheng He
- School of Public Health, Fudan University, Shanghai, 200032, China; Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China (Fudan University), Shanghai, 200032, China.
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14
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Pouillot R, Farakos SS, Spungen J, Schaefer HR, Flannery BM, Van Doren JM. Cadmium physiologically based pharmacokinetic (PBPK) models for forward and reverse dosimetry: Review, evaluation, and adaptation to the U.S. population. Toxicol Lett 2022; 367:67-75. [PMID: 35901988 DOI: 10.1016/j.toxlet.2022.07.812] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Revised: 06/20/2022] [Accepted: 07/22/2022] [Indexed: 11/19/2022]
Abstract
The goal of this study was to assess a cadmium (Cd) physiologically based pharmacokinetic (PBPK) model to evaluate Cd toxicological reference values (e.g. reference dose, tolerable intake, minimum risk level) adapted to the U.S. population. We reviewed and evaluated previously published Cd PBPK models and developed further adaptations to the 1978 Kjellström and Nordberg (KN) model. Specifically, we propose adaptations with updated U.S.-specific bodyweight, kidney weight and creatinine excretion models by using NHANES data as well as a stochastic PBPK model that provides credible intervals of uncertainty around mean populational estimates. We provide our model review and adaptations as well as present estimates from the newly adapted models using observed U.S. urinary Cd values as a function of gender and age and given dietary exposure as evaluated from NHANES/WWEIA and U.S. Total Diet Study data. Results show all newly adapted models provide acceptable mean estimates of urinary Cd in the U.S. The stochastic model provides credible intervals to further inform regulatory decision making. Validation of the estimated K-Cd concentration values was not possible as data for a representative population was not available. We developed a web-based tool implementing these models and other potential adaptations to facilitate PBPK model estimate comparisons.
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Affiliation(s)
- Régis Pouillot
- Division of Risk and Decision Analysis, Center for Food Safety and Applied Nutrition, US Food and Drug Administration, College Park, MD, United States
| | - Sofia Santillana Farakos
- Division of Risk and Decision Analysis, Center for Food Safety and Applied Nutrition, US Food and Drug Administration, College Park, MD, United States.
| | - Judith Spungen
- Division of Risk and Decision Analysis, Center for Food Safety and Applied Nutrition, US Food and Drug Administration, College Park, MD, United States
| | - Heather R Schaefer
- Division of Risk and Decision Analysis, Center for Food Safety and Applied Nutrition, US Food and Drug Administration, College Park, MD, United States
| | - Brenna M Flannery
- Division of Risk and Decision Analysis, Center for Food Safety and Applied Nutrition, US Food and Drug Administration, College Park, MD, United States
| | - Jane M Van Doren
- Division of Risk and Decision Analysis, Center for Food Safety and Applied Nutrition, US Food and Drug Administration, College Park, MD, United States
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15
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Qing Y, Yang J, Chen Y, Shi C, Zhang Q, Ning Z, Yu Y, Li Y. Urinary cadmium in relation to bone damage: Cadmium exposure threshold dose and health-based guidance value estimation. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2021; 226:112824. [PMID: 34592522 DOI: 10.1016/j.ecoenv.2021.112824] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/03/2021] [Revised: 09/18/2021] [Accepted: 09/21/2021] [Indexed: 05/24/2023]
Abstract
Cadmium (Cd) is a widespread heavy metal with osteotoxicity, and bone mineral density (BMD) is often used as an early sensitive biomarker of bone damage. This study retrieved worldwide epidemiological studies to conduct a systematic meta-analysis to explore the association between Cd exposure and bone damage. A random effect model was used to establish the relationship between urinary Cd (U-Cd) and BMD and explore the influence of covariate factors. The benchmark dose method was used to calculate the safety threshold of U-Cd when the BMD decrease within an acceptable range. Toxicokinetic (TK) model was used to estimate the health-based guidance value (HBGV) of dietary Cd exposure based on the U-Cd threshold. The 95% lower confidence interval of benchmark dose of U-Cd derived in this study was 1.71 μg/g Cr, and the HBGV of dietary Cd exposure was determined to be 0.64 μg/kg bw/day. Gender had the greatest influence on BMD, followed by body mass index (BMI), age, and race. This study conducted a comprehensive systematic analysis of global research and was the first exploration to quantify the decreased BMD caused by Cd exposure in a large-scale population. The results provided reference for the risk assessment of Cd exposure and the formulation of dietary exposure standards.
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Affiliation(s)
- Ying Qing
- College of Medical Technology, Shanghai University of Medicine & Health Sciences, Shanghai 201318, China
| | - Jiaqi Yang
- School of Public Health/Key Laboratory of Public Health Safety, Ministry of Education, Department of Nutrition and food science, Fudan University, Shanghai 200032, China
| | - Yanfeng Chen
- College of Medical Technology, Shanghai University of Medicine & Health Sciences, Shanghai 201318, China
| | - Chengjie Shi
- College of Medical Technology, Shanghai University of Medicine & Health Sciences, Shanghai 201318, China
| | - Qianrong Zhang
- College of Medical Technology, Shanghai University of Medicine & Health Sciences, Shanghai 201318, China
| | - Zhongping Ning
- Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, Shanghai 201300, China
| | - Ying Yu
- Shanghai University of Medicine & Health Sciences, Shanghai 201318, China.
| | - Yanfei Li
- Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, Shanghai 201300, China.
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16
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Qing Y, Yang J, Zhu Y, Li Y, Zheng W, Wu M, He G. Dose-response evaluation of urinary cadmium and kidney injury biomarkers in Chinese residents and dietary limit standards. Environ Health 2021; 20:75. [PMID: 34193170 PMCID: PMC8247151 DOI: 10.1186/s12940-021-00760-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Accepted: 06/18/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND Cadmium (Cd) is a common heavy metal that mainly causes renal damage. There is a lack of research on the large-scale and systematic evaluation of the association between urinary Cd (U-Cd) and various effect biomarkers among Chinese residents. METHODS Based on the establishment process of dietary Cd limit standards by European Food Safety Authority (EFSA), the dose-response relationships between U-Cd and four biomarkers, β2-microglobulin (β2-MG), N-acetyl-β-glucosidase (NAG), microalbumin (mALB), and retinol binding Protein (RBP) were explored, respectively. Toxicokinetic model was used to derive the dietary Cd exposure limit for Chinese residents after critical U-Cd concentration was calculated. RESULTS As the sensitive biomarkers of renal injury, β2-MG and NAG were selected to estimate the 95% confidence interval lower limit of the U-Cd benchmark dose (BMDL5) to be 3.07 and 2.98 μg/g Cr, respectively. Dietary Cd exposure limit was calculated to be 0.28 μg/kg bw/day (16.8 μg/day, based on the body weight of 60 kg), which was lower than the average Chinese Cd exposure (30.6 μg/day) by the China National Nutrient and Health Survey. CONCLUSION This study established an overall association between U-Cd and renal injury biomarkers, and explored the Chinese dietary Cd exposure limits, which helps improve Chinese Cd exposure risk assessment and provides a reference basis for formulating reasonable exposure standards.
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Affiliation(s)
- Ying Qing
- School of Public Health/Key Laboratory of Public Health Safety, Ministry of Education, Department of Nutrition and Food Science, Fudan University, No. 130 Dongan Road, Shanghai, 200032 China
| | - Jiaqi Yang
- School of Public Health/Key Laboratory of Public Health Safety, Ministry of Education, Department of Nutrition and Food Science, Fudan University, No. 130 Dongan Road, Shanghai, 200032 China
| | - Yuanshen Zhu
- School of Public Health/Key Laboratory of Public Health Safety, Ministry of Education, Department of Nutrition and Food Science, Fudan University, No. 130 Dongan Road, Shanghai, 200032 China
| | - Yongzhen Li
- School of Public Health/Key Laboratory of Public Health Safety, Ministry of Education, Department of Nutrition and Food Science, Fudan University, No. 130 Dongan Road, Shanghai, 200032 China
| | - Weiwei Zheng
- Department of Environmental Health, School of Public Health, Fudan University, Shanghai, 200032 China
| | - Min Wu
- School of Public Health/Key Laboratory of Public Health Safety, Ministry of Education, Department of Nutrition and Food Science, Fudan University, No. 130 Dongan Road, Shanghai, 200032 China
| | - Gengsheng He
- School of Public Health/Key Laboratory of Public Health Safety, Ministry of Education, Department of Nutrition and Food Science, Fudan University, No. 130 Dongan Road, Shanghai, 200032 China
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