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Cheng P, Tao Y, Hu J, Wang H, Zhao R, Mei S, Yang Y, Ye F, Chen Z, Ding H, Xing M, Xu P, Wu L, Li X, Zhang X, Ji Z, Xiang J, Xu D, Chen Y, Wang X, Lou X. Relationship of individual and mixed urinary metals exposure with liver function in the China National Human Biomonitoring (CNHBM) of Zhejiang Province. CHEMOSPHERE 2023; 342:140050. [PMID: 37660798 DOI: 10.1016/j.chemosphere.2023.140050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 08/19/2023] [Accepted: 09/01/2023] [Indexed: 09/05/2023]
Abstract
BACKGROUND Heavy metals have been reported to affect liver function. However, there is currently little and inconsistent knowledge about the effects of combined and individual urinary metals on specific parameters of liver function in the general population. Therefore, this study aimed to investigate their associations. METHODS This study involved 807 general population from the China National Human Biomonitoring of Zhejiang Province 2017-2018. Concentrations of urinary metals, including Chromium (Cr), Cobalt (Co), Nickle (Ni), Arsenic (As), Selenium (Se), Molybdenum (Mo), Cadmium (Cd), Thallium (Tl) and Lead (Pb) were measured. Alanine aminotransferase (ALT), aspartate aminotransferase (AST), total protein (TP), albumin (ALB), direct bilirubin (DBIL), total bilirubin (TBIL) as liver function biomarkers. Multivariable linear regression and weighted quantile sum (WQS) regression were employed to explore the associations of urinary metals with liver function biomarkers. Subgroup analysis stratified by gender and age, excluding smokers and drinkers for sensitivity analysis. RESULTS Both statistical models indicated that urinary metals were positively associated with ALT and AST, while negatively with TP, ALB, DBIL and TBIL. In the WQS analysis, each quartile increase in the ln-transformed levels of metal mixtures was associated with 4.11 IU/L (95% CI: 1.07, 7.15) higher ALT and 3.00 IU/L (95% CI: 1.75, 4.25) higher AST, as well as, with 0.67 g/L (95% CI: 1.24, -0.11) lower TP, 0.74 g/L (95% CI: 1.09, -0.39) lower ALB, 0.38 μmol/L (95% CI: 0.67, -0.09) lower DBIL, and 1.56 μmol/L (95% CI: 2.22, -0.90) lower TBIL. The association between urinary metals and ALT was primarily driven by Cd (55.8%), Cr contributed the most to the association with AST (20.2%) and TBIL (45.2%), while the association with TP was primarily driven by Ni (38.2%), the association with ALB was primarily driven by As (32.8%), and the association with DBIL was primarily driven by Pb (30.9%). The associations between urinary metals and liver function might differ by sex and age. CONCLUSION Urinary metals were significantly associated with liver function parameters. Further studies are required to clarify the relationship between heavy metals and liver function.
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Affiliation(s)
- Ping Cheng
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, China.
| | - Yi Tao
- Stomatology Hospital, School of Stomatology, Zhejiang University School of Medicine, Zhejiang Provincial Clinical Research Center for Oral Diseases, Key Laboratory of Oral Biomedical Research of Zhejiang Province, Cancer Center of Zhejiang University, Hangzhou, 310006, China
| | - Jinfeng Hu
- Shangcheng District Center for Disease Control and Prevention, Hangzhou, 310009, China
| | - Hongxin Wang
- Wucheng District Center for Disease Control and Prevention, Jinhua, 321025, China
| | - Ruifang Zhao
- Qujiang District Center for Disease Control and Prevention, Quzhou, 324022, China
| | - Shenghua Mei
- Longquan County Center for Disease Control and Prevention, Lishui, 323799, China
| | - Yin Yang
- Jinyun County Center for Disease Control and Prevention, Lishui, 321499, China
| | - Fugen Ye
- Songyang County Center for Disease Control and Prevention, Lishui, 323499, China
| | - Zhijian Chen
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, China
| | - Hao Ding
- Environmental Science Research & Design Institute of Zhejiang Province, Key Laboratory of Environmental Pollution Control Technology of Zhejiang Province, Hangzhou, 310007, China
| | - Mingluan Xing
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, China
| | - Peiwei Xu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, China
| | - Lizhi Wu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, China
| | - Xueqing Li
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, China
| | - Xuwenqi Zhang
- Environmental Science Research & Design Institute of Zhejiang Province, Key Laboratory of Environmental Pollution Control Technology of Zhejiang Province, Hangzhou, 310007, China
| | - Zhengquan Ji
- Environmental Science Research & Design Institute of Zhejiang Province, Key Laboratory of Environmental Pollution Control Technology of Zhejiang Province, Hangzhou, 310007, China
| | - Jie Xiang
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, China
| | - Dandan Xu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, China
| | - Yuan Chen
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, China
| | - Xiaofeng Wang
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, China.
| | - Xiaoming Lou
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, China.
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Akash MSH, Yaqoob A, Rehman K, Imran M, Assiri MA, Al-Rashed F, Al-Mulla F, Ahmad R, Sindhu S. Metabolomics: a promising tool for deciphering metabolic impairment in heavy metal toxicities. Front Mol Biosci 2023; 10:1218497. [PMID: 37484533 PMCID: PMC10357477 DOI: 10.3389/fmolb.2023.1218497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2023] [Accepted: 06/21/2023] [Indexed: 07/25/2023] Open
Abstract
Heavy metals are the metal compounds found in earth's crust and have densities higher than that of water. Common heavy metals include the lead, arsenic, mercury, cadmium, copper, manganese, chromium, nickel, and aluminum. Their environmental levels are consistently rising above the permissible limits and they are highly toxic as enter living systems via inhalation, ingestion, or inoculation. Prolonged exposures cause the disruption of metabolism, altered gene and/or protein expression, and dysregulated metabolite profiles. Metabolomics is a state of the art analytical tool widely used for pathomolecular inv22estigations, biomarkers, drug discovery and validation of biotransformation pathways in the fields of biomedicine, nutrition, agriculture, and industry. Here, we overview studies using metabolomics as a dynamic tool to decipher the mechanisms of metabolic impairment related to heavy metal toxicities caused by the environmental or experimental exposures in different living systems. These investigations highlight the key role of metabolomics in identifying perturbations in pathways of lipid and amino acid metabolism, with a critical role of oxidative stress in metabolic impairment. We present the conclusions with future perspectives on metabolomics applications in meeting emerging needs.
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Affiliation(s)
| | - Azka Yaqoob
- Department of Pharmaceutical Chemistry, Government College University Faisalabad, Faisalabad, Pakistan
| | - Kanwal Rehman
- Department of Pharmacy, The Women University, Multan, Pakistan
| | - Muhammad Imran
- Research Center for Advanced Materials Science (RCAMS), King Khalid University, Abha, Saudi Arabia
- Department of Chemistry, Faculty of Science, King Khalid University, Abha, Saudi Arabia
| | - Mohammed A. Assiri
- Research Center for Advanced Materials Science (RCAMS), King Khalid University, Abha, Saudi Arabia
- Department of Chemistry, Faculty of Science, King Khalid University, Abha, Saudi Arabia
| | - Fatema Al-Rashed
- Immunology and Microbiology Department, Dasman Diabetes Institute, Dasman, Kuwait
| | - Fahd Al-Mulla
- Research Division, Dasman Diabetes Institute, Dasman, Kuwait
| | - Rasheed Ahmad
- Immunology and Microbiology Department, Dasman Diabetes Institute, Dasman, Kuwait
| | - Sardar Sindhu
- Immunology and Microbiology Department, Dasman Diabetes Institute, Dasman, Kuwait
- Animal and Imaging Core Facilities, Dasman Diabetes Institute, Dasman, Kuwait
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Tian X, Shan X, Ma L, Zhang C, Wang M, Zheng J, Lei R, He L, Yan J, Li X, Bai Y, Hu K, Li S, Niu J, Luo B. Mixed heavy metals exposure affects the renal function mediated by 8-OHG: A cross-sectional study in rural residents of China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 317:120727. [PMID: 36427825 DOI: 10.1016/j.envpol.2022.120727] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 11/07/2022] [Accepted: 11/21/2022] [Indexed: 06/16/2023]
Abstract
Heavy metals are important risk factors for kidney, but their co-exposure effect on kidney and related mechanism remain unclear. This study evaluated the relationship between heavy metals and renal function, and the feasible mediation effect of oxidative stress. Based on the Dongdagou-Xinglong cohort, participants were recruited and their information were collected through questionnaires and physical examinations. The urine concentration of heavy metals like Cobalt, Nickel, Molybdenum, Cadmium, Antimony, Copper, Zinc, Mercury, Lead, Manganese, and renal injury biomarkers like β2-microglobulin, β-N-Acetylglucosaminidase, retinol-binding protein, 8-hydroxyguanine (8-OHG) were measured and corrected by creatinine. Linear regression was conducted to analyze the relationship between metals and renal biomarkers. Bayesian kernel machine regression, weighted quantile sum and quantile-based g-computation were applied to analyze the association between metal mixtures and renal biomarkers. Finally, the mediating effect of 8-OHG was analyzed through the mediation model. We found that these metals were positively related with renal biomarkers, where copper showed the strongest relationship. The co-exposure models showed that renal biomarkers increased with the concentration of mixtures, particularly for cadmium, copper, mercury, manganese. In addition, the proportion of 8-OHG in mediating effect of metals on renal function ranged from 2.6% to 86.9%. Accordingly, the renal function damage is positively associated with metals, and 8-OHG may play an important mediating role.
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Affiliation(s)
- Xiaoyu Tian
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, China
| | - Xiaobing Shan
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, China
| | - Li Ma
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, China
| | - Chenyang Zhang
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, China
| | - Mei Wang
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, China
| | - Jie Zheng
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, China
| | - Ruoyi Lei
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, China
| | - Li He
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, China
| | - Jun Yan
- The First School of Clinical Medical, Lanzhou University, Lanzhou, Gansu, 730000, China
| | - Xun Li
- The First School of Clinical Medical, Lanzhou University, Lanzhou, Gansu, 730000, China
| | - Yanjun Bai
- Silong Township Health Center in Baiyin City, Baiyin, Gansu, 730910, China
| | - Keqin Hu
- Mapo Township Health Center in Lanzhou City, Lanzhou, Gansu, 730115, China
| | - Sheng Li
- Public Health Department, The First People's Hospital of Lanzhou City, Lanzhou, Gansu, 730050, China
| | - Jingping Niu
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, China
| | - Bin Luo
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, China.
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Muacevic A, Adler JR. The Association of Increased Oxidative Stress and Tumor Biomarkers Related to Polyaromatic Hydrocarbons Exposure for Different Occupational Workers in Makkah, Saudi Arabia. Cureus 2022; 14:e32981. [PMID: 36578859 PMCID: PMC9793096 DOI: 10.7759/cureus.32981] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/26/2022] [Indexed: 12/28/2022] Open
Abstract
INTRODUCTION Exposure to occupational polyaromatic hydrocarbons (PAHs) is correlated with several adverse effects on human health, including bladder, lung, and skin cancer. The correlation between PAH exposure and oxidative stress and tumor markers needs to be further explored. Therefore, we conducted this study to examine the effect of acute exposure to PAHs on oxidative stress and tumor marker levels in occupational workers during the Hajj season in Makkah. METHODS We conducted a cross-sectional study of 105 workers during Hajj; 60 workers were employed in the open air for ≥eight hours/day, exposed them to high levels of considerable traffic and huge crowds, and 45 workers served as our control group who were unexposed and working in a rural area. Using high-performance liquid chromatography, we analyzed participants' urinary 1-hydroxypyrene to determine PAH levels. Oxidative stress markers malondialdehyde (MDA), glutathione S-transferase (GST), and lactate dehydrogenase (LDH) were analyzed in serum using a spectrophotometer. The serum p53 and p21 proteins were analyzed using an enzyme-linked immunosorbent assay. We used IBM SPSS Statistics for Windows, Version 21.0 (IBM Corp., Armonk, NY, USA) to calculate multivariate logistic regression analysis for oxidative stress and tumor markers such as age, working period, and smoking status risk factors. Additionally, we evaluated associations between oxidative stress and tumor markers. RESULTS The mean levels of MDA, GST, and LDH were significantly elevated in exposed workers compared to the control group (p<.001). Also, p53 and p21 protein levels were significantly higher in the occupationally exposed group than in the unexposed control group (p<0.05). No significant correlation between age and increased levels of p53 and p21 was found. CONCLUSIONS In our study, PAH exposure is significantly correlated with higher levels of oxidative stress and tumor marker levels in occupational workers. The evaluation of oxidative stress and tumor marker indicators can efficiently identify workers at high risk of PAH exposure and may assist in preventing future health concerns. More biomarkers should be included in other longitudinal studies to address exposure related to different health risks among workers, especially cancer risk. More prospective studies are required to validate diagnostic utilities and efficiencies of different biomarker combinations.
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Lin Y, Yuan Y, Ouyang Y, Wang H, Xiao Y, Zhao X, Yang H, Li X, Guo H, He M, Zhang X, Xu G, Qiu G, Wu T. Metabolome-Wide Association Study of Multiple Plasma Metals with Serum Metabolomic Profile among Middle-to-Older-Aged Chinese Adults. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:16001-16011. [PMID: 36269707 PMCID: PMC9671050 DOI: 10.1021/acs.est.2c05547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 10/04/2022] [Accepted: 10/10/2022] [Indexed: 06/16/2023]
Abstract
Metal exposure has been associated with risk of various cardio-metabolic disorders, and investigation on the association between exposure to multiple metals and metabolic responses may reveal novel clues to the underlying mechanisms. Based on a metabolome-wide association study of 17 plasma metals with untargeted metabolomic profiling of 189 serum metabolites among 1992 participants within the Dongfeng-Tongji cohort, we replicated two metal-associated pathways, linoleic acid metabolism and aminoacyl-tRNA biosynthesis, with novel metal associations (false discovery rate, FDR < 0.05), and we also identified two novel pathways, including biosynthesis of unsaturated fatty acids and alpha-linolenic acid metabolism, as associated with metal exposure (FDR < 0.05). Moreover, two-way orthogonal partial least-squares analysis showed that five metabolites, including aspartylphenylalanine, free fatty acid 14:1, uridine, carnitine C14:2, and LPC 18:2, contributed most to the joint covariation between the two data matrices (12.3%, 8.3%, 8.0%, 7.4%, and 7.3%, respectively). Further BKMR analysis showed significant positive joint associations of plasma Al, As, Ba, and Zn with aspartylphenylalanine and of plasma Ba, Co, Mn, and Pb with carnitine C14:2, when all the metals were at the 55th percentiles or above, compared with the median. We also found significant interactions between As and Ba in the association with aspartylphenylalanine (P for interaction = 0.048) and between Ba and Pb in the association with carnitine C14:2 (P for interaction < 0.001). Together, these findings may provide new insights into the mechanisms underlying the adverse health effects induced by metal exposure.
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Affiliation(s)
- Yuhui Lin
- Ministry
of Education and State Key Laboratory of Environmental Health (Incubating),
School of Public Health, Tongji Medical
College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yu Yuan
- Ministry
of Education and State Key Laboratory of Environmental Health (Incubating),
School of Public Health, Tongji Medical
College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yang Ouyang
- CAS
Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy
of Sciences, Dalian 116023, China
- University
of Chinese Academy of Sciences, Beijing 100049, China
| | - Hao Wang
- Ministry
of Education and State Key Laboratory of Environmental Health (Incubating),
School of Public Health, Tongji Medical
College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yang Xiao
- Ministry
of Education and State Key Laboratory of Environmental Health (Incubating),
School of Public Health, Tongji Medical
College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Xinjie Zhao
- CAS
Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy
of Sciences, Dalian 116023, China
- University
of Chinese Academy of Sciences, Beijing 100049, China
| | - Handong Yang
- Department
of Cardiovascular Disease, Dongfeng Central
Hospital, Hubei University of Medicine, Shiyan 442000, China
| | - Xiulou Li
- Department
of Cardiovascular Disease, Dongfeng Central
Hospital, Hubei University of Medicine, Shiyan 442000, China
| | - Huan Guo
- Ministry
of Education and State Key Laboratory of Environmental Health (Incubating),
School of Public Health, Tongji Medical
College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Meian He
- Ministry
of Education and State Key Laboratory of Environmental Health (Incubating),
School of Public Health, Tongji Medical
College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Xiaomin Zhang
- Ministry
of Education and State Key Laboratory of Environmental Health (Incubating),
School of Public Health, Tongji Medical
College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Guowang Xu
- CAS
Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy
of Sciences, Dalian 116023, China
- University
of Chinese Academy of Sciences, Beijing 100049, China
| | - Gaokun Qiu
- Ministry
of Education and State Key Laboratory of Environmental Health (Incubating),
School of Public Health, Tongji Medical
College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Tangchun Wu
- Ministry
of Education and State Key Laboratory of Environmental Health (Incubating),
School of Public Health, Tongji Medical
College, Huazhong University of Science and Technology, Wuhan 430030, China
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Huang J, El-Kersh K, Mann KK, James KA, Cai L. Overview of the cardiovascular effects of environmental metals: New preclinical and clinical insights. Toxicol Appl Pharmacol 2022; 454:116247. [PMID: 36122736 PMCID: PMC9941893 DOI: 10.1016/j.taap.2022.116247] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 09/06/2022] [Accepted: 09/12/2022] [Indexed: 02/06/2023]
Abstract
Environmental causes of cardiovascular diseases (CVDs) are global health issues. In particular, an association between metal exposure and CVDs has become evident but causal evidence still lacks. Therefore, this symposium at the Society of Toxicology 2022 annual meeting addressed epidemiological, clinical, pre-clinical animal model-derived and mechanism-based evidence by five presentations: 1) An epidemiologic study on potential CVD risks of individuals exposed occupationally and environmentally to heavy metals; 2) Both presentations of the second and third were clinical studies focusing on the potential link between heavy metals and pulmonary arterial hypertension (PAH), by presenting altered blood metal concentrations of both non-essential and essential metals in the patients with PAH and potential therapeutic approaches; 3) Arsenic-induced atherosclerosis via inflammatory cells in mouse model; 4) Pathogenic effects on the heart by adult chronic exposure to very low-dose cadmium via epigenetic mechanisms and whole life exposure to low dose cadmium via exacerbating high-fat-diet-lipotoxicity. This symposium has brought epidemiologists, therapeutic industry, physicians, and translational scientists together to discuss the health risks of occupational and environmental exposure to heavy metals through direct cardiotoxicity and indirect disruption of homeostatic mechanisms regulating essential metals, as well as lipid levels. The data summarized by the presenters infers a potential causal link between multiple metals and CVDs and defines differences and commonalities. Therefore, summary of these presentations may accelerate the development of efficient preventive and therapeutic strategies by facilitating collaborations among multidisciplinary investigators.
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Affiliation(s)
- Jiapeng Huang
- Department of Anesthesiology and Perioperative Medicine, University of Louisville School of Medicine, Louisville, KY, USA,Department of Pharmacology and Toxicology, University of Louisville School of Medicine, Louisville, KY, USA,Cardiovascular Innovation Institute, Department of Cardiovascular and Thoracic Surgery, University of Louisville School of Medicine, Louisville, KY, USA
| | - Karim El-Kersh
- Department of Internal Medicine, Division of Pulmonary Critical Care and Sleep Medicine, University of Nebraska Medical Center, Omaha, NE, USA
| | - Koren K. Mann
- Departments of Pharmacology & Therapeutics and Oncology and Medicine, McGill University, Canada,Segal Cancer Center, Lady Davis Institute for Medical Research, Montréal, Québec H3T 1E2, Canada
| | - Katherine A. James
- Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado-Anschutz Medical Campus, Aurora, CO, USA,, Correspondence to: K. A. James, 13001 E 17th PL MS B119 Bldg 500 3rd FLR Aurora, CO 80045, USA. (K.A. James)
| | - Lu Cai
- Department of Pharmacology and Toxicology, University of Louisville School of Medicine, Louisville, KY, USA; Pediatric Research Institute, Departments of Pediatrics and Radiation Oncology, University of Louisville School of Medicine, Louisville, KY, USA.
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7
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Wu Y, Song J, Li Y, Jin X, Liang Y, Qin W, Yi W, Pan R, Yan S, Sun X, Mei L, Song S, Cheng J, Su H. Association between exposure to a mixture of metals, parabens, and phthalates and fractional exhaled nitric oxide: A population-based study in US adults. ENVIRONMENTAL RESEARCH 2022; 214:113962. [PMID: 35940230 DOI: 10.1016/j.envres.2022.113962] [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: 05/20/2022] [Revised: 07/19/2022] [Accepted: 07/20/2022] [Indexed: 06/15/2023]
Abstract
The effects of environmental endocrine-disrupting chemicals (EDCs) (e.g., phthalates) on fractional exhaled nitric oxide (FeNO) in children have received much attention. However, few studies evaluated this relationship in adults, and the previous studies have considered only a unitary exposure or a set of similar exposures instead of mixed exposures, which contain complicated interactions. We aimed to evaluate simultaneously the relationship between three types of EDCs (six phthalate metabolites and two parabens in urine, two heavy metals in blood) and FeNO (as a continuous variable) in adults. Data of adults aged ≥20 years from the National Health and Nutrition Examination Survey (NHANES, 2007-2012) were collected and analyzed. The generalized linear (GLM) regression model was used to explore the association of chemicals with FeNO. The combined effect of 10 chemicals on the overall association with FeNO was evaluated by the weighted quantile sum regression (WQS) model. In addition, The Bayesian kernel machine regression (BKMR) model was explored to investigate the interaction and joint effects of multiple chemicals with FeNO. Of the 3296 study participants ultimately included, among the GLMs, we found that mercury (Hg) (β = 0.84, 95%CI:0.32-1.36, FDR = 0.01) and methyl paraben (MPB) (β = 0.47, 95%CI:0.16-0.78, FDR = 0.015) were positively correlated with FeNO. In the WQS model, the combined effect of chemicals almost had a significantly positive association with FeNO and the top three contributors to the WQS index were Hg (40.2%), MECPP (22.1%), and MPB (19.3%). BKMR analysis showed that there may be interactions between MPB and Hg, Mono (carboxyoctyl) phthalate (MCOP) and Hg and the overall effect of the mixture showed a positive correlation with FeNO. In conclusion, our study strengthens the credibility of the view that EDCs can affect respiratory health. In the future, we should be particularly careful with products containing Hg, MECPP, MPB, and MEHP for the prevention of respiratory diseases.
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Affiliation(s)
- Yudong Wu
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Anhui Province Key Laboratory of Major Autoimmune Diseases, Hefei, Anhui, 230032, China
| | - Jian Song
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Anhui Province Key Laboratory of Major Autoimmune Diseases, Hefei, Anhui, 230032, China
| | - Yuxuan Li
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Anhui Province Key Laboratory of Major Autoimmune Diseases, Hefei, Anhui, 230032, China
| | - Xiaoyu Jin
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Anhui Province Key Laboratory of Major Autoimmune Diseases, Hefei, Anhui, 230032, China
| | - Yunfeng Liang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Anhui Province Key Laboratory of Major Autoimmune Diseases, Hefei, Anhui, 230032, China
| | - Wei Qin
- Lu'an Municipal Center for Disease Control and Prevention, Lu'an, Anhui, China
| | - Weizhuo Yi
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Anhui Province Key Laboratory of Major Autoimmune Diseases, Hefei, Anhui, 230032, China
| | - Rubing Pan
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Anhui Province Key Laboratory of Major Autoimmune Diseases, Hefei, Anhui, 230032, China
| | - Shuangshuang Yan
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Anhui Province Key Laboratory of Major Autoimmune Diseases, Hefei, Anhui, 230032, China
| | - Xiaoni Sun
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Anhui Province Key Laboratory of Major Autoimmune Diseases, Hefei, Anhui, 230032, China
| | - Lu Mei
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Anhui Province Key Laboratory of Major Autoimmune Diseases, Hefei, Anhui, 230032, China
| | - Shasha Song
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Anhui Province Key Laboratory of Major Autoimmune Diseases, Hefei, Anhui, 230032, China
| | - Jian Cheng
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Anhui Province Key Laboratory of Major Autoimmune Diseases, Hefei, Anhui, 230032, China
| | - Hong Su
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Anhui Province Key Laboratory of Major Autoimmune Diseases, Hefei, Anhui, 230032, China.
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8
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Chemical Contamination in Bread from Food Processing and Its Environmental Origin. Molecules 2022; 27:molecules27175406. [PMID: 36080171 PMCID: PMC9457569 DOI: 10.3390/molecules27175406] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 08/14/2022] [Accepted: 08/21/2022] [Indexed: 12/03/2022] Open
Abstract
Acrylamide (AA), furan and furan derivatives, polycyclic aromatic amines (PAHs), monochloropropanediols (MCPDs), glycidol, and their esters are carcinogens that are being formed in starchy and high-protein foodstuffs, including bread, through baking, roasting, steaming, and frying due to the Maillard reaction. The Maillard reaction mechanism has also been described as the source of food processing contaminants. The above-mentioned carcinogens, especially AA and furan compounds, are crucial substances responsible for the aroma of bread. The other groups of bread contaminants are mycotoxins (MTs), toxic metals (TMs), and pesticides. All these contaminants can be differentiated depending on many factors such as source, the concentration of toxicant in the different wheat types, formation mechanism, metabolism in the human body, and hazardous exposure effects to humans. The following paper characterizes the most often occurring contaminants in the bread from each group. The human exposure to bread contaminants and their safe ranges, along with the International Agency for Research on Cancer (IARC) classification (if available), also have been analyzed.
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Plasma level of antimony correlates with pulmonary arterial hypertension severity. Curr Res Toxicol 2022; 3:100080. [PMID: 35800661 PMCID: PMC9254336 DOI: 10.1016/j.crtox.2022.100080] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 06/06/2022] [Accepted: 06/24/2022] [Indexed: 01/11/2023] Open
Abstract
It is unknown if environmental antimony exposure influences pulmonary arterial hypertension (PAH) and right ventricular function. We performed a pilot study to evaluate antimony levels in 20 PAH patients and 10 controls. Also, we explored the correlation of antimony level with PAH prognostic hemodynamic markers. Antimony blood and plasma levels were significantly higher in PAH patients when compared to controls [blood: PAH mean ± SD (95%CI) 1.3 ± 0.6 (1.0-1.5) ng/ml vs. control mean ± SD (95%) 0.7 ± 0.5 (0.4-1.0) ng/ml, p = 0.017] [plasma: PH mean ± SD (95%CI) 2.6 ± 1 (2.2-3.1) ng/ml vs. control mean ± SD (95%CI) 1.5 ± 0.8 (1.0-2.0) ng/ml, p = 0.004]. Also, antimony blood and plasma levels were significantly higher in idiopathic-PAH patients and non-idiopathic PAH when compared to controls. There was a trend for higher blood and plasma antimony levels in idiopathic PAH [blood1.6 ± 0.6 (1.1-2.1) ng/ml and plasma 3.1 ± 1.2 (2.2-4.1) ng/ml] when compared to non-idiopathic PAH [blood 1.1 ± 0.6(0.8-1.4) ng/ml and plasma 2.5 ± 0.9(2-2.9) ng/ml], but it did not reach statistical significance. There was a significant correlation between plasma antimony level and all the prognostic hemodynamic parameters of PAH including mRAP (r = 0.47, p = 0.036), CO (r = -0.50, p = 0.026), CI (r = -0.54, p = 0.014), PVR (r = 0.52, p = 0.019), and SvO2 (r = -0.54, p = 0.016).
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Zhong Z, Li Q, Guo C, Zhong Y, Zhou J, Li X, Wang D, Yu Y. Urinary heavy metals in residents from a typical city in South China: human exposure and health risks. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:15827-15837. [PMID: 34636013 DOI: 10.1007/s11356-021-16954-0] [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: 07/19/2021] [Accepted: 10/05/2021] [Indexed: 06/13/2023]
Abstract
Although heavy metal pollution has developed into a major global environmental problem, most research has focused on specific elements, especially arsenic (As) and selenium (Se), and on the health risks to people in polluted areas or by occupation. This study investigated the urine of 480 participants from Guangzhou with a population of 18 million and targeted nine heavy metals: As, Se, chromium (Cr), manganese (Mn), nickel (Ni), cadmium (Cd), lead (Pb), antimony (Sb), and mercury (Hg). The heavy metals were widely detected, of which As, Se, Cd, and Pb all exceed 98%. Among the toxicants, As showed the highest concentration, followed by Se with 40.5 and 35.4 μg/L, respectively. The heavy metal levels from suburban subjects were generally higher than those in urban subjects (except for Sb), and the Cd level of males was lower than that of females. Concentrations were related to age, body mass index, alcohol consumption, and smoking. According to the health risk assessment, most subjects experienced potential non-carcinogenic risk from As, Cd, Se, and Hg, which accounted for 38.2%, 8.83%, 8.31%, and 3.38%, respectively. The carcinogenic risk of As and Cd surpassed the risk level of 10-6, and 90.1% and 35.4% of the subjects, respectively, exceeded 10-4, an unacceptable risk level. More attention to the high carcinogenic risk from heavy metals and the high detected levels of As and Cd is required.
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Affiliation(s)
- Zijuan Zhong
- Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou, 510006, People's Republic of China
- Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, Key Laboratory of City Cluster Environmental Safety and Green Development, School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou, 510006, People's Republic of China
| | - Qin Li
- Guangzhou Center for Disease Control and Prevention, Guangzhou, 510440, People's Republic of China
| | - Chongshan Guo
- Guangzhou Center for Disease Control and Prevention, Guangzhou, 510440, People's Republic of China
| | - Yi Zhong
- Guangzhou Center for Disease Control and Prevention, Guangzhou, 510440, People's Republic of China
| | - Jinhua Zhou
- Guangzhou Center for Disease Control and Prevention, Guangzhou, 510440, People's Republic of China
| | - Xiaotong Li
- Guangzhou Center for Disease Control and Prevention, Guangzhou, 510440, People's Republic of China
| | - Dedong Wang
- Guangzhou Center for Disease Control and Prevention, Guangzhou, 510440, People's Republic of China
| | - Yingxin Yu
- Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou, 510006, People's Republic of China.
- Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, Key Laboratory of City Cluster Environmental Safety and Green Development, School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou, 510006, People's Republic of China.
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11
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Zeng H, Fang B, Hao K, Wang H, Zhang L, Wang M, Hao Y, Wang X, Wang Q, Yang W, Rong S. Combined effects of exposure to polycyclic aromatic hydrocarbons and metals on oxidative stress among healthy adults in Caofeidian, China. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2022; 230:113168. [PMID: 34999341 DOI: 10.1016/j.ecoenv.2022.113168] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Revised: 01/01/2022] [Accepted: 01/03/2022] [Indexed: 06/14/2023]
Abstract
Exposure to polycyclic aromatic hydrocarbons (PAHs) and metals is associated with many adverse effects on human health, accompanied by oxidative stress. This study aimed to investigate the effects of co-exposure to PAHs and metals on oxidative stress in healthy adults. A preliminary longitudinal panel study was conducted between 2017 and 2018 in 45 healthy college students in Caofeidian, China. Six urinary monohydroxylated-PAHs (OH-PAHs), ten metals, 8-hydroxydeoxyguanosine (8-OHdG), and 8-iso-prostaglandin-F2α (8-iso-PGF2α) were measured. Linear mixed effects (LME) models and Bayesian kernel machine regression (BKMR) models were used to explore the associations of urinary OH-PAHs and metals with 8-OHdG and 8-iso-PGF2α. LME models showed that most urinary OH-PAHs and metals were positively associated with 8-OHdG and 8-iso-PGF2α. For example, a one-unit increase in the ln-transformed level of 1-hydroxypyrene (1-OHPyr) and vanadium (V) was associated with an increase of 143.8% (95% CI: 105.7 - 188.9%) and 105.8% (95% CI: 79.2-136.4%) in 8-OHdG; 8-iso-PGF2α increased by 118.9% (95% CI: 99.2-140.5%) and 83.9% (95% CI: 67.2-102.2%) with a one-unit increase in the ln-transformed level of 3-hydroxyphenanthrene (3-OHPhe) and aluminum (Al). BKMR models indicated the overall positive associations of the mixture of six OH-PAHs, ten metals, or six OH-PAHs and ten metals with 8-OHdG and 8-iso-PGF2α. Urinary 1-OHPyr and V were identified as the major contributors to the increased urinary 8-OHdG levels, while urinary 3-OHPhe and Al were the most vital contributors to the increased urinary 8-iso-PGF2α levels. The results revealed the longitudinal dose-response relationships of urinary OH-PAHs and metals with oxidative stress among healthy adults in Caofeidian; this finding serves as an evidence regarding the early health hazard caused by exposure to PAHs and metals and has implications for the environmental management of PAH and metal emissions in this area.
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Affiliation(s)
- Hao Zeng
- School of Public Health, North China University of Science and Technology, No. 21 Bohai Road, Caofeidian, Tangshan 063210, Hebei, China
| | - Bo Fang
- School of Public Health, North China University of Science and Technology, No. 21 Bohai Road, Caofeidian, Tangshan 063210, Hebei, China; Affiliated Huaihe Hospital, Henan University, 115 Ximen Street, Kaifeng 475000, Henan, China
| | - Kelu Hao
- School of Public Health, North China University of Science and Technology, No. 21 Bohai Road, Caofeidian, Tangshan 063210, Hebei, China
| | - Haotian Wang
- School of Public Health, North China University of Science and Technology, No. 21 Bohai Road, Caofeidian, Tangshan 063210, Hebei, China
| | - Lei Zhang
- School of Public Health, North China University of Science and Technology, No. 21 Bohai Road, Caofeidian, Tangshan 063210, Hebei, China; Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, China
| | - Manman Wang
- School of Public Health, North China University of Science and Technology, No. 21 Bohai Road, Caofeidian, Tangshan 063210, Hebei, China
| | - Yulan Hao
- School of Public Health, North China University of Science and Technology, No. 21 Bohai Road, Caofeidian, Tangshan 063210, Hebei, China
| | - Xuesheng Wang
- School of Public Health, North China University of Science and Technology, No. 21 Bohai Road, Caofeidian, Tangshan 063210, Hebei, China
| | - Qian Wang
- School of Public Health, North China University of Science and Technology, No. 21 Bohai Road, Caofeidian, Tangshan 063210, Hebei, China.
| | - Wenqi Yang
- Affiliated Hospital, North China University of Science and Technology, Tangshan 063000, China.
| | - Suying Rong
- Department of Clinical Medicine, Tangshan Vocational and Technical College, No. 120 Xinhua West Road, Tangshan 063000, China
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