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Jiang Y, Xu Y, Xiao S, Zhu X, Lv H, Zang L, Lei S, Xu X, Xu B, Han X, Zhu J, Du J, Ma H, Hu Z, Ling X, Dai J, Lin Y. Phthalate and DINCH exposure and ovarian reserve markers among women seeking infertility care. Sci Total Environ 2024; 927:172185. [PMID: 38575009 DOI: 10.1016/j.scitotenv.2024.172185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 03/30/2024] [Accepted: 04/01/2024] [Indexed: 04/06/2024]
Abstract
Phthalate exposure can adversely impact ovarian reserve, yet investigation on the influence of its alternative substance, the non-phthalate plasticizer diisononyl-cyclohexane-1,2-dicarboxylate (DINCH), on ovarian reserve is very sparce. We aimed to investigate the associations of phthalate and DINCH exposure as well as their combined mixture with ovarian reserve. This present study included 657 women seeking infertility care in Jiangsu, China (2015-2018). Urine samples during enrollment prior to infertility treatment were analyzed using high-performance liquid chromatography-isotope dilution tandem mass spectrometry (UPLC-MS/MS) to quantify 17 phthalate metabolites and 3 DINCH metabolites. Multivariate linear regression models, Poisson regression models and weighted quantile sum (WQS) regression were performed to access the associations of 17 urinary phthalate metabolites and 3 DINCH metabolites with ovarian reserve markers, including antral follicle count (AFC), anti-Mullerian hormone (AMH), and follicle-stimulating hormone (FSH). We found that the most conventional phthalates metabolites (DMP, DnBP, DiBP, DBP and DEHP) were inversely associated with AFC, and the DINCH metabolites were positively associated with serum FSH levels. The WQS index of phthalate and DINCH mixtures was inversely associated with AFC (% change = -8.56, 95 % CI: -12.63, -4.31) and positively associated with FSH levels (% change =7.71, 95 % CI: 0.21, 15.78). Our findings suggest that exposure to environmental levels of phthalate and DINCH mixtures is inversely associated with ovarian reserve.
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Affiliation(s)
- Yangqian Jiang
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China; Department of Maternal, Child and Adolescent Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China
| | - Yiqun Xu
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China
| | - Shuxin Xiao
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China; Department of Maternal, Child and Adolescent Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China
| | - Xianxian Zhu
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China; Department of Maternal, Child and Adolescent Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China
| | - Hong Lv
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China; State Key Laboratory of Reproductive Medicine (Suzhou Centre), The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou 215002, Jiangsu, China
| | - Lu Zang
- State Environmental Protection Key Laboratory of Environmental Health Impact Assessment of Emerging Contaminants, School of Environmental Science and Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China
| | - Shuifang Lei
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China; Department of Maternal, Child and Adolescent Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China
| | - Xin Xu
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China; Department of Maternal, Child and Adolescent Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China
| | - Bo Xu
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China
| | - Xiumei Han
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China
| | - Jin Zhu
- Department of Science and Technology, Women's Hospital of Nanjing Medical University (Nanjing Women and Children's Healthcare Hospital), Nanjing 210004, Jiangsu, China
| | - Jiangbo Du
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China; State Key Laboratory of Reproductive Medicine (Suzhou Centre), The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou 215002, Jiangsu, China
| | - Hongxia Ma
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China; State Key Laboratory of Reproductive Medicine (Suzhou Centre), The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou 215002, Jiangsu, China
| | - Zhibin Hu
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China; State Key Laboratory of Reproductive Medicine (Suzhou Centre), The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou 215002, Jiangsu, China
| | - Xiufeng Ling
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China; Department of Reproduction, Women's Hospital of Nanjing Medical University (Nanjing Women and Children's Healthcare Hospital), Nanjing 210004, Jiangsu, China.
| | - Jiayin Dai
- State Environmental Protection Key Laboratory of Environmental Health Impact Assessment of Emerging Contaminants, School of Environmental Science and Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China; State Key Laboratory of Reproductive Medicine and Offspring Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
| | - Yuan Lin
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China; Department of Maternal, Child and Adolescent Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China; State Key Laboratory of Reproductive Medicine (Suzhou Centre), The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou 215002, Jiangsu, China.
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Zhang X, Cao J, Chen J, Wang G, Li L, Wei X, Zhang R. Combined Effects of Fluoride and Dietary Seleno-L-Methionine at Environmentally Relevant Concentrations on Female Zebrafish (Danio rerio) Liver: Histopathological Damages, Oxidative Stress and Inflammation. Biol Trace Elem Res 2024; 202:2314-2326. [PMID: 37682395 DOI: 10.1007/s12011-023-03837-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Accepted: 08/29/2023] [Indexed: 09/09/2023]
Abstract
Fluoride, a global environmental pollutant, is ubiquitous in aquatic environments and coexists with selenium, which can cause complex effects on exposed organisms. However, data on the interaction of fluoride and selenium remain scarce. In this study, female zebrafish (Danio rerio) were exposed to fluoride (80 mg/L sodium fluoride) and/or dietary selenomethionine (Se-Met) for 30, 60 and 90 days, the effects on the liver of zebrafish were investigated. The results indicated that an increase in fluoride burden, inhibited growth and impaired liver morphology were recorded after fluoride exposure. Furthermore, fluoride alone caused oxidative stress and inflammation in the liver, as reflected by the increase in ROS and MDA contents, the reduction of anti-oxidative enzymes, the altered immune related enzymes (ACP, AKP, LZM and MPO) and the expression of IL-6, IL-1β, TNF-α, IL-10 and TGF-β. In contrast, co-exposure to fluoride and Se-Met decreased fluoride burden and restored growth. Furthermore, dietary Se-Met alleviated oxidative stress, inflammation and impaired morphology in liver trigger by fluoride. However, dietary Se-Met alone increased the activities of SOD and CAT. These results demonstrate that the protective effect of dietary Se-Met against chronic fluoride toxicity at a certain level.
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Affiliation(s)
- Xiulin Zhang
- College of Veterinary Medicine, Shanxi Agricultural University, Taigu, 030801, Shanxi, China
- College of Animal Science and Veterinary Medicine, Henan Institute of Science and Technology, Xinxiang, 453003, Henan, China
| | - Jinling Cao
- College of Food Science and Technology, Shanxi Agricultural University, Taigu, 030801, Shanxi, China.
| | - Jianjie Chen
- College of Veterinary Medicine, Shanxi Agricultural University, Taigu, 030801, Shanxi, China.
| | - Guodong Wang
- School of Biology and Food Engineering, Anyang Institute of Technology, Anyang, 455000, Henan, China
| | - Lijuan Li
- College of Food and Environment, Jinzhong College of Information, Taigu, 030801, Shanxi, China
| | - Xiaobing Wei
- College of Animal Science and Veterinary Medicine, Henan Institute of Science and Technology, Xinxiang, 453003, Henan, China
| | - Runxiao Zhang
- College of Animal Science and Veterinary Medicine, Henan Institute of Science and Technology, Xinxiang, 453003, Henan, China
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Kamila S, Dey KK, Islam S, Chattopadhyay A. Arsenic and chromium induced hepatotoxicity in zebrafish (Danio rerio) at environmentally relevant concentrations: Mixture effects and involvement of Nrf2-Keap1-ARE pathway. Sci Total Environ 2024; 921:171221. [PMID: 38402821 DOI: 10.1016/j.scitotenv.2024.171221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 02/12/2024] [Accepted: 02/21/2024] [Indexed: 02/27/2024]
Abstract
Arsenic (As) and chromium (Cr), two well-known cytotoxic and carcinogenic metals are reported to coexist in industrial effluents and groundwater. Their individual toxicities have been thoroughly studied but the combined effects, especially the mechanism of toxicity and cellular stress response remain unclear. Considering co-exposure as a more realistic scenario, current study compared the individual and mixture effects of As and Cr in the liver of zebrafish (Danio rerio). Fish were exposed to environmentally relevant concentrations of As and Cr for 15, 30 and 60 days. ROS generation, biochemical stress parameters like lipid peroxidation, reduced glutathione content, catalase activity and histological alterations were studied. Results showed increase in ROS production, MDA content and GSH level; and vicissitude in catalase activity as well as altered histoarchitecture, indicating oxidative stress conditions after individual and combined exposure of As and Cr which were additive in nature. This study also included the expression of Nrf2, the key regulator of antioxidant stress responses and its nuclear translocation. Related antioxidant and xenobiotic metabolizing enzyme genes like keap1, nqo1, ho1, mnsod and cyp1a were also studied. Overall results indicated increased nrf2, nqo1, ho1, mnsod expression at all time points and increased cyp1a expression after 60 days exposure. Emphasizing on the Nrf2-Keap1 pathway, this study exhibited additive or sometimes synergistic effects of As and Cr in zebrafish liver.
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Affiliation(s)
- Sreejata Kamila
- Department of Zoology, Visva-Bharati, Santiniketan 731235, West Bengal, India
| | - Koushik Kumar Dey
- Department of Zoology, Visva-Bharati, Santiniketan 731235, West Bengal, India
| | - Shehnaz Islam
- Department of Zoology, Visva-Bharati, Santiniketan 731235, West Bengal, India
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Zhang X, Xu C, Li Y, Chen Z, Xu F, Zhang H, Ding L, Lin Y, Zhao N. Association between phthalate metabolite mixture in neonatal cord serum and birth outcomes. Sci Total Environ 2024; 919:170614. [PMID: 38316308 DOI: 10.1016/j.scitotenv.2024.170614] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 01/29/2024] [Accepted: 01/30/2024] [Indexed: 02/07/2024]
Abstract
Prenatal exposure to phthalates (PAEs) is ubiquitous among Chinese neonates. PAEs entering the body will be transformed to various hydrolyzed and oxidated PAE metabolites (mPAEs). PAEs and mPAEs exposure may lead to adverse birth outcomes through disruption of multiple hormone signaling pathways, induction of oxidative stress, and alterations in intracellular signaling processes. In this study, the concentrations of 11 mPAEs in 318 umbilical cord serum samples from neonates in Jinan were quantified with HPLC-ESI-MS. Multiple linear regression, Bayesian kernel machine regression, and quantile g-computation models were utilized to investigate the effects of both individual mPAE and mPAE mixture on birth outcomes. Stratified analysis was performed to explore whether these effects were gender-specific. mPAE mixture was negatively associated with birth length (BL) z-score, birth weight (BW) z-score, head circumference (HC) z-score, and ponderal index (PI). Mono(2-ethylhexyl) phthalate (MEHP) manifested negative associations with BL(z-score), BW(z-score), HC(z-score), and PI, whereas mono(2-carboxymethylhexyl) phthalate (MCMHP) was negatively associated with BW(z-score) and PI within the mPAE mixture. Stratified analysis revealed that the negative associations between mPAE mixture and four birth outcomes were attenuated in female infants, while the positive impact of mono(2-ethyl-5carboxypentyl) phthalate (MECPP) on BL(z-score) and BW(z-score) could be detected only in females. In summary, our findings suggest that prenatal exposure to phthalates may be associated with intrauterine growth restriction, and these effects vary according to the gender of the infant.
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Affiliation(s)
- Xiaozhen Zhang
- School of Environmental Science and Engineering, Shandong University, Qingdao 266237, China
| | - Caihong Xu
- School of Environmental Science and Engineering, Shandong University, Qingdao 266237, China
| | - Yahui Li
- Jinan Digital Application Center of Ecology and Environment (Jinan Grid Supervision Center of Ecological and Environmental Protection), Jinan 250102, China
| | - Zhongkai Chen
- Jinan Digital Application Center of Ecology and Environment (Jinan Grid Supervision Center of Ecological and Environmental Protection), Jinan 250102, China
| | - Fei Xu
- School of Environmental Research Institute, Shandong University, Qingdao 266237, China
| | - Haoyu Zhang
- School of Environmental Research Institute, Shandong University, Qingdao 266237, China
| | - Lei Ding
- School of Environmental Research Institute, Shandong University, Qingdao 266237, China
| | - Yongfeng Lin
- Department of Occupational Health and Environmental Health, School of Public Health, Qingdao University, Qingdao 266071, China
| | - Nan Zhao
- School of Environmental and Material Engineering, Yantai University, Yantai 264005, Shandong, China.
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Han B, Wang L, Wang X, Huang K, Shen Y, Wang Z, Jing T. Association between multipollutant exposure and thyroid hormones in elderly people: A cross-sectional study in China. Environ Res 2024; 252:118781. [PMID: 38552824 DOI: 10.1016/j.envres.2024.118781] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Revised: 03/03/2024] [Accepted: 03/22/2024] [Indexed: 04/05/2024]
Abstract
Environmental chemicals have been indicated to cause disruption of thyroid homeostasis in human populations. However, previous studies mostly focused on single group of chemicals. Herein, we investigate the independent and combined effects of multiple pollutants on thyroid homeostasis, including thyroid-stimulating hormone (TSH), total and free thyroxine (tT4 and fT4) and total and free triiodothyronine (tT3 and fT3) in elderly people. These environmental pollutants (n = 144) are from ten categories, including phenols, parabens, perfluoroalkyl substances (PFASs), polychlorinated biphenyls (PCBs), phthalate esters (PAEs), polycyclic aromatic hydrocarbons (PAHs), organochlorine pesticides (OCPs), organophosphate pesticides (OPPs), synthetic pyrethroids (SPs), herbicides, and metals. Few studies have evaluated the health risks of these 144 chemicals, especially their joint effects. In single-pollutant evaluations, multiple linear regression (MLR) models were used to estimate the independent associations between multiple exposures and thyroid biomarkers. In multi-pollutant evaluations, elastic net regression and Bayesian kernel machine regression (BKMR) models were used to estimate the combined associations. The MLR models showed that 41 chemicals were significantly related to THs levels. BKMR models revealed the most important chemical groups: metals for TSH, PAHs, SPs and PCBs for tT4, herbicides and SPs for tT3. This study will contribute to the understanding of multipollutant exposure and help prioritize specific chemical groups related to thyroid hormone disruption.
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Affiliation(s)
- Bin Han
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, Hubei, 430030, China
| | - Lulu Wang
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, Hubei, 430030, China
| | - Xiu Wang
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, 310003, China
| | - Kai Huang
- School of Environment, Hangzhou Institute for Advanced Study, UCAS, Hangzhou, Zhejiang, 310003, China
| | - Yang Shen
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, Hubei, 430030, China
| | - Zhu Wang
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, Hubei, 430030, China
| | - Tao Jing
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, Hubei, 430030, China.
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Gao C, Sun N, Xie J, Li J, Tao L, Guo L, Shi L, He X, Shen X, Wang H, Yang P, Covaci A, Huang Y. Co-exposure to 55 endocrine-disrupting chemicals linking diminished sperm quality: Mixture effect, and the role of seminal plasma docosapentaenoic acid. Environ Int 2024; 185:108571. [PMID: 38471262 DOI: 10.1016/j.envint.2024.108571] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/27/2024] [Revised: 03/05/2024] [Accepted: 03/07/2024] [Indexed: 03/14/2024]
Abstract
Isolated effects of single endocrine-disrupting chemicals (EDCs) on male reproductive health have been studied extensively, but their mixture effect remains unelucidated. Previous research has suggested that consuming diet enriched in omega-3 polyunsaturated fatty acids (PUFA) might be beneficial for reproductive health, whether omega-3 PUFA could moderate the effect of EDCs mixture on semen quality remains to be explored. In this study of 155 male recruited from a reproductive health center in China, we used targeted-exposomics to simultaneously measure 55 EDCs in the urine for exposure burden. Regression analyses were restricted to highly detected EDCs (≥55%, n = 34), and those with consistently elevated risk were further screened and brought into mixture effect models (Bisphenol A, ethyl paraben, methyl paraben [MeP], benzophenone-1 [BP1], benzophenone-3, mono(3-carboxypropyl) phthalate [MCPP]). Bayesian Kernel Machine Regression (BKMR) and quantile-based g-computation (QGC) models demonstrated that co-exposure to top-ranked EDCs was related to reduced sperm total (β = -0.18, 95%CI: -0.29 - -0.07, P = 0.002) and progressive motility (β = -0.27, 95%CI: -0.43 - -0.10, P = 0.002), but not to lower semen volume. BP1, MeP and MCPP were identified as the main effect driver for deteriorated sperm motion parameters using mixture model analyses. Seminal plasma fatty acid profiling showed that high omega-3 PUFA status, notably elevated docosapentaenoic acid (DPA, C22:5n-3) status, moderated the association between MCPP and sperm motion parameters (total motility: β = 0.26, 95%CI: 0.01 - -0.51, Pinteraction = 0.047; progressive motility: β = 0.64, 95%CI: 0.23 - 1.05, Pinteraction = 0.003). Co-exposure to a range of EDCs is mainly associated with deteriorated sperm quality, but to a lesser extent on sperm quantity, high seminal plasma DPA status might be protective against the effect. Our work emphasizes the importance of exposomic approach to assess chemical exposures and highlighted a new possible intervention target for mitigating the potential adverse effect of EDCs on semen quality.
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Affiliation(s)
- Chang Gao
- Department of Toxicology, School of Public Health, Center for Big Data and Population Health of IHM, Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, MOE Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Hefei, China
| | - Nan Sun
- Department of Toxicology, School of Public Health, Center for Big Data and Population Health of IHM, Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, MOE Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Hefei, China
| | - Jinying Xie
- Department of Public Health and Preventive Medicine, China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou, China
| | - Jiehao Li
- Department of Public Health and Preventive Medicine, China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou, China
| | - Lin Tao
- Department of Toxicology, School of Public Health, Center for Big Data and Population Health of IHM, Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, MOE Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Hefei, China
| | - Lijuan Guo
- Department of Toxicology, School of Public Health, Center for Big Data and Population Health of IHM, Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, MOE Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Hefei, China
| | - Lan Shi
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, Anhui Province, China
| | - Xiaojin He
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, Anhui Province, China; Reproductive Medicine Center, Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaoting Shen
- Reproductive Medicine Center, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Hua Wang
- Department of Toxicology, School of Public Health, Center for Big Data and Population Health of IHM, Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, MOE Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Hefei, China
| | - Pan Yang
- Department of Public Health and Preventive Medicine, China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou, China.
| | - Adrian Covaci
- Toxicological Center, University of Antwerp, Wilrijk, Belgium
| | - Yichao Huang
- Department of Toxicology, School of Public Health, Center for Big Data and Population Health of IHM, Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, MOE Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Hefei, China; Clinical Research Center, Suzhou Hospital of Anhui Medical University, Anhui Medical University, Suzhou, China.
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Kim JH, Moon N, Heo SJ, Jeong YW, Kang DR. Repeated measurements and mixture effects of urinary bisphenols, parabens, polycyclic aromatic hydrocarbons, and other chemicals on biomarkers of oxidative stress in pre- and postpartum women. Environ Pollut 2024; 342:123057. [PMID: 38043769 DOI: 10.1016/j.envpol.2023.123057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Revised: 11/07/2023] [Accepted: 11/26/2023] [Indexed: 12/05/2023]
Abstract
The association between oxidative stress and exposure to bisphenols, parabens, phenols, polycyclic aromatic hydrocarbons (PAH), and volatile organic compounds (VOCs) has been investigated by many in vitro and in vivo studies. However, most of these findings are based on cross-sectional studies, as a result of which the combined effects of these compounds have been rarely analyzed. In this study, our objective was to assess urinary bisphenols, parabens, PAHs, and VOCs, in relation to oxidative stress during pre-and postpartum periods, analyze the association between these chemicals and oxidative stress via repeated measurements using a linear mixed model (LMM), and evaluate the combined effects exerted by these chemicals on oxidative stress using Bayesian Kernel Machine Regression (BKMR). A total 529 urine samples were collected from 242 pregnant women during the 1st and 2nd trimesters, as well as postpartum follow-ups. Three bisphenols, four parabens, benzopheone-3 (BP-3), triclosan (TCS), four PAHs, two VOCs, and 3- phenoxy-benzoic acid (3-PBA) were analyzed. We also measured 8-hydroxydeoxyguanosine (8-OHdG) and malondialdehyde (MDA), which serve as oxidative stress biomarkers in maternal urine samples. During this period, 8-OHdG decreased steadily, whereas MDA increased during pregnancy and decreased after childbirth. LMM indicated that Bisphenol A, Prophyl-paraben, BP-3, and 1-hydroxypyrene (1-OHP) showed a significant association with increased MDA levels. The BKMR models revealed that the mixture effect exerted by these 16 chemicals had changed MDA levels, which indicate oxidative stress, and that both Butyl Paraben (BP) and 1-hydroxypyrene (1-OHP) had contributed to such oxidative stress. Mixtures of each subgroup (bisphenols, parabens, and PAHs) were associated with increased MDA levels. These findings suggest that exposure to some phenols and PAHs during pre- and post-partum stages may cause oxidative stress, and that exposure to these chemicals should be minimized during this period.
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Affiliation(s)
- Ju Hee Kim
- Department of Nursing, College of Nursing Science, Kyung Hee University, Seoul, South Korea
| | - Nalae Moon
- Department of Nursing, College of Nursing Science, Kyung Hee University, Seoul, South Korea
| | - Su Ji Heo
- Department of Nursing, College of Nursing Science, Kyung Hee University, Seoul, South Korea
| | - Yong Whi Jeong
- Department of Medical Informatics and Biostatistics, Graduate School, Yonsei University, Wonju, South Korea
| | - Dae Ryong Kang
- Department of Precision Medicine, Wonju College of Medicine, Yonsei University, Wonju, South Korea.
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Yu B, Deng H, Lu Y, Pan T, Shan W, He H. Adsorptive interaction between typical VOCs and various topological zeolites: Mixture effect and mechanism. J Environ Sci (China) 2024; 136:626-636. [PMID: 37923471 DOI: 10.1016/j.jes.2023.02.015] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 02/09/2023] [Accepted: 02/09/2023] [Indexed: 11/07/2023]
Abstract
Adsorption is one of the most feasible and effective methods to alleviate the volatile organic compounds (VOCs) pollution. However, the mixture effect and mechanism for competitive adsorption of VOCs on zeolites are barely addressed. In this study, toluene, acetone, and ethyl acetate as prevalent VOCs species were removed by four potential zeolites (13X, USY, Beta, ZSM-5) in both single- and multi-component systems. The structure-property relationship between adsorbate-adsorbent pairs was revealed by X-ray diffraction, scanning electron microscopy, energy dispersive spectrometer, X-ray fluorescence, N2 adsorption and density function theory calculation. The molecular polarity and volatility of VOCs species played key roles in adsorption and the dynamic uptakes were generally listed as follows: ethyl acetate > toluene > acetone. As for the above VOCs mixtures, 13X zeolite selectively adsorbed oxygenated VOCs rather than toluene. In contrast, USY exhibited a preference to trap toluene. Ethyl acetate could be readily enriched by ZSM-5 and Beta selectively. The possible explanations and implications are discussed based on the subtle change in electron density. The results obtained are vital for understanding the mixture effect of VOCs adsorption and may guide the selection of proper adsorbent for real applications.
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Affiliation(s)
- Bo Yu
- Center for Excellence in Regional Atmospheric Environment and Key Laboratory of Urban Pollutant Conversion, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Hua Deng
- Center for Excellence in Regional Atmospheric Environment and Key Laboratory of Urban Pollutant Conversion, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China; University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Yuqin Lu
- Center for Excellence in Regional Atmospheric Environment and Key Laboratory of Urban Pollutant Conversion, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
| | - Tingting Pan
- Center for Excellence in Regional Atmospheric Environment and Key Laboratory of Urban Pollutant Conversion, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
| | - Wenpo Shan
- Center for Excellence in Regional Atmospheric Environment and Key Laboratory of Urban Pollutant Conversion, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Hong He
- Center for Excellence in Regional Atmospheric Environment and Key Laboratory of Urban Pollutant Conversion, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China; University of Chinese Academy of Sciences, Beijing 100049, China; State Key Joint Laboratory of Environment Simulation and Pollution Control, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
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9
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Liu W, Cao S, Shi D, Yu L, Qiu W, Chen W, Wang B. Single-chemical and mixture effects of multiple volatile organic compounds exposure on liver injury and risk of non-alcoholic fatty liver disease in a representative general adult population. Chemosphere 2023; 339:139753. [PMID: 37553041 DOI: 10.1016/j.chemosphere.2023.139753] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Revised: 07/17/2023] [Accepted: 08/05/2023] [Indexed: 08/10/2023]
Abstract
Evidence on liver injury and non-alcoholic fatty liver disease (NAFLD) from volatile organic compounds (VOCs) exposure is insufficient. A cross-sectional study including 3011 US adults from the National Health and Nutrition Examination Survey was conducted to explore the associations of urinary exposure biomarkers (EBs) for 13 VOCs (toluene, xylene, ethylbenzene, styrene, acrylamide, N,N-dimethylformamide, acrolein, crotonaldehyde, 1,3-butadiene, acrylonitrile, cyanide, propylene oxide, and 1-bromopropane) with liver injury biomarkers and the risk of NAFLD by performing single-chemical (survey weight regression) and mixture (Bayesian kernel machine regression [BKMR] and weighted quantile sum [WQS]) analyses. We found significant positive associations of EBs for toluene and 1-bromopropane with alanine aminotransferase (ALT), EBs for toluene, crotonaldehyde, and 1,3-butadiene with asparate aminotransferase (AST), EBs for 1,3-butadiene and cyanide with alkaline phosphatase (ALP), EBs for xylene and cyanide with hepamet fibrosis score (HFS), EBs for the total 13 VOCs (except propylene oxide) with United States fatty liver index (USFLI), and EBs for xylene, N,N-dimethylformamide, acrolein, crotonaldehyde, and acrylonitrile with NALFD; and significant inverse associations of EBs for ethylbenzene, styrene, acrylamide, acrolein, crotonaldehyde, 1,3-butadiene, acrylonitrile, cyanide, and propylene oxide with total bilirubin, EBs for ethylbenzene, styrene, acrylamide, acrolein, 1,3-butadiene, acrylonitrile, and cyanide with albumin (ALB), EBs for ethylbenzene, styrene, acrylamide, N,N-dimethylformamide, acrolein, crotonaldehyde, 1,3-butadiene, acrylonitrile, cyanide, and propylene oxide with total protein (TP), and EB for 1-bromopropane with AST/ALT (all P-FDR<0.05). In BKMR and WQS, the mixture of VOC-EBs was significantly positively associated with ALT, AST, ALP, HFS, USFLI, and the risk of NAFLD, while significantly inversely associated with TBIL, ALB, TP, and AST/ALT. VOCs exposure was associated with liver injury and increased risk of NAFLD in US adults. These findings highlight that great attention should be paid to the potential risk of liver health damage from VOCs exposure.
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Affiliation(s)
- Wei Liu
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Shuting Cao
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Da Shi
- Agricultural, Food and Nutritional Science, Faculty of Agricultural, Life and Environmental Sciences, University of Alberta, Edmonton, Alberta, T6G 2P5, Canada
| | - Linling Yu
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Weihong Qiu
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, 350122, China
| | - Weihong Chen
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
| | - Bin Wang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
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10
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Zhang X, Cao J, Chen J, Wang G, Li L, Wei X, Zhang R. Combined Effects of Fluoride and Dietary Seleno-L-methionine at Environmentally Relevant Concentrations on Female Zebrafish (Danio rerio) Liver: Histopathological Damages, Oxidative Stress and Inflammation. Biol Trace Elem Res 2023:10.1007/s12011-023-03853-3. [PMID: 37728845 DOI: 10.1007/s12011-023-03853-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Accepted: 09/07/2023] [Indexed: 09/21/2023]
Abstract
Fluoride, a global environmental pollutant, is ubiquitous in aquatic environments and coexists with selenium, which can cause complex effects on exposed organisms. However, data on the interaction of fluoride and selenium remain scarce. In this study, female zebrafish (Danio rerio) were exposed to fluoride (80 mg/L sodium fluoride) and/or dietary selenomethionine for 30, 60 and 90 days, the effects on the liver of zebrafish were investigated. The results indicated that an increase in fluoride burden, inhibited growth and impaired liver morphology were recorded after fluoride exposure. Furthermore, fluoride alone caused oxidative stress and inflammation in the liver, as reflected by the increase in ROS and MDA contents, the reduction of anti-oxidative enzymes, the altered immune related enzymes (ACP, AKP, LZM and MPO) and the expression of IL-6, IL-1β, TNF-α, IL-10 and TGF-β. In contrast, co-exposure to fluoride and Se-Met decreased fluoride burden and restored growth. Furthermore, dietary Se-Met alleviated oxidative stress, inflammation and impaired morphology in liver trigger by fluoride. However, dietary Se-Met alone increased the activities of SOD and CAT. These results demonstrate that the protective effect of dietary Se-Met against chronic fluoride toxicity at a certain level.
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Affiliation(s)
- Xiulin Zhang
- College of Veterinary Medicine, Shanxi Agricultural University, Taigu, 030801, Shanxi, China
- College of Animal Science and Veterinary Medicine, Henan Institute of Science and Technology, Xinxiang, 453003, Henan, China
| | - Jinling Cao
- College of Food Science and Technology, Shanxi Agricultural University, Taigu, 030801, Shanxi, China.
| | - Jianjie Chen
- College of Veterinary Medicine, Shanxi Agricultural University, Taigu, 030801, Shanxi, China.
| | - Guodong Wang
- School of Biology and Food Engineering, Anyang Institute of Technology, Anyang, 455000, Henan, China
| | - Lijuan Li
- College of Food and Environment, Jinzhong College of Information, Taigu, 030801, Shanxi, China
| | - Xiaobing Wei
- College of Animal Science and Veterinary Medicine, Henan Institute of Science and Technology, Xinxiang, 453003, Henan, China
| | - Runxiao Zhang
- College of Animal Science and Veterinary Medicine, Henan Institute of Science and Technology, Xinxiang, 453003, Henan, China
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11
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Lane JM, Liu SH, Pantic I, Martinez-Medina S, Téllez-Rojo MM, Amarasiriwardena C, Wright RO. Sex-specific association between prenatal manganese exposure and working memory in school-aged children in Mexico city: An exploratory multi-media approach. Environ Pollut 2023; 333:121965. [PMID: 37286025 PMCID: PMC10527609 DOI: 10.1016/j.envpol.2023.121965] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 05/11/2023] [Accepted: 06/04/2023] [Indexed: 06/09/2023]
Abstract
It remains unclear whether manganese (Mn) exposure affects working memory (WM) in a sexually dimorphic manner. Further, no gold standard media exists to measure Mn, suggesting a combined blood and urinary Mn index may better capture the totality of exposure. We investigated the modification effect of child sex on the influence of prenatal Mn exposure on WM in school-age children, exploring two methodological frameworks to integrate exposure estimates across multiple exposure biomarkers. Leveraging the PROGRESS birth cohort in Mexico City, children (N = 559) ages 6-8 completed the between errors and strategy measures of the CANTAB Spatial Working Memory (SWM) task. Mn levels were assayed in blood and urine of mothers during the 2nd and 3rd trimesters and in umbilical cord blood from mothers and children at delivery. Weighted quantile sum regression estimated the association of a multi-media biomarker (MMB) mixture with SWM. We applied a confirmatory factor analysis to similarly quantify a latent blood Mn burden index. We then used an adjusted linear regression to estimate the Mn burden index with SWM measures. Interaction terms were used to estimate the modification effect by child sex for all models. Results showed that the between-errors-specific MMB mixture (i.e., this model demonstrates the impact of the MMB mixture on the between-error scores.) was associated (β = 6.50, 95% CI: 0.91, 12.08) with fewer between errors for boys and more between errors for girls. The strategy-specific MMB mixture (i.e., this model demonstrates the impact of the MMB mixture on the strategy scores) was associated (β = -1.36, 95% CI: 2.55, - 0.18) with less efficient strategy performance for boys and more efficient strategy performance for girls. A higher Mn burden index was associated (β = 0.86, 95% CI: 0.00, 1.72) with more between errors in the overall sample. The vulnerability to prenatal Mn biomarkers on SWM differs in the directionality by child sex. An MMB mixture and composite index of body burden are stronger predictors than a single biomarker for Mn exposure on WM performance.
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Affiliation(s)
- Jamil M Lane
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Shelley H Liu
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ivan Pantic
- Division of Community Interventions Research, National Institute of Perinatology, Mexico City, Mexico
| | - Sandra Martinez-Medina
- Division of Community Interventions Research, National Institute of Perinatology, Mexico City, Mexico
| | - Martha M Téllez-Rojo
- Center for Nutrition and Health Research, National Institute of Public Health, Cuernavaca, Morelos, Mexico
| | - Chitra Amarasiriwardena
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Robert O Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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12
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Yang S, Hong F, Li S, Han X, Li J, Wang X, Chen L, Zhang X, Tan X, Xu J, Duoji Z, Ciren Z, Guo B, Zhang J, Zhao X. The association between chemical constituents of ambient fine particulate matter and obesity in adults: A large population-based cohort study. Environ Res 2023; 231:116228. [PMID: 37230219 DOI: 10.1016/j.envres.2023.116228] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 05/09/2023] [Accepted: 05/22/2023] [Indexed: 05/27/2023]
Abstract
OBJECTIVES Current evidence demonstrated that ambient fine particulate matter with an aerodynamic diameter ≤2.5 μm (PM2.5) and its constituents may be obesogenic in children, but evidence from adults is lacking. Our aim was to characterize the association between PM2.5 and its constituents and obesity in adults. METHODS We included 68,914 participants from the China Multi-Ethnic Cohort (CMEC) baseline survey. Three-year average concentrations of PM2.5 and its constituents were evaluated by linking pollutant estimates to the geocoded residential addresses. Obesity was defined as body mass index (BMI) ≥ 28 kg/m2. Logistic regression was used to examine the relationship between PM2.5 and its constituents and obesity. We performed weighed quantile sum (WQS) regression to get the overall effect of PM2.5 and its constituents and the relative contribution of each constituent. RESULTS Per-SD increase in PM2.5 (odds ratio [OR] = 1.43, 95% confidence interval [CI]: 1.37-1.49), black carbon (BC) (1.42, 1.36-1.48), ammonium (1.43, 1.37-1.49), nitrate (1.44, 1.38-1.50), organic matter (OM) (1.45, 1.39-1.51), sulfate (1.42, 1.35-1.48), and soil particles (SOIL) (1.31, 1.27-1.36) were positively associated with obesity, and SS (0.60, 0.55-0.65) was negatively associated with obesity. The overall effect (OR = 1.34, 95% CI: 1.29-1.41) of the PM2.5 and its constituents was positively associated with obesity, and ammonium made the most contribution to this relationship. Participants who were older, female, never smoked, lived in urban areas, had lower income or higher levels of physical activity were more significantly adversely affected by PM2.5, BC, ammonium, nitrate, OM, sulfate and SOIL compared to other individuals. CONCLUSION Our study revealed that PM2.5 constituents except SS were positively associated with obesity, and ammonium played the most important role. These findings provided new evidence for public health interventions, especially the precise prevention and control of obesity.
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Affiliation(s)
- Shaokun Yang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Feng Hong
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, China
| | - Sicheng Li
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Xinyu Han
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Jiawei Li
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Xing Wang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Lin Chen
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Xuehui Zhang
- School of Public Health, Kunming Medical University, Kunming, China
| | - Xi Tan
- Wuhou District Center for Disease Control and Prevention, Chengdu, China
| | - Jingru Xu
- Chongqing Municipal Center for Disease Control and Prevention, Chongqing, China
| | - Zhuoma Duoji
- School of Medicine, Tibet University, Lhasa, China
| | - Zhuoga Ciren
- School of Medicine, Tibet University, Lhasa, China
| | - Bing Guo
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Juying Zhang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
| | - Xing Zhao
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
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13
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Jiang W, Yu G, Wang C, Yin S, Huang Y, Chen Q, Sun K, Zhang J. Exposure to multiple air pollutant mixtures and the subtypes of hypertensive disorders in pregnancy: A multicenter study. Int J Hyg Environ Health 2023; 253:114238. [PMID: 37531934 DOI: 10.1016/j.ijheh.2023.114238] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 07/05/2023] [Accepted: 07/29/2023] [Indexed: 08/04/2023]
Abstract
BACKGROUND Hypertensive disorders in pregnancy (HDP) have heterogeneous etiologies. Previous studies have linked individual air pollutants to overall HDP with inconsistent results. Moreover, it has not been explored how exposure to a mixture of multiple air pollutants may affect the risks of the subtypes of the disorders. OBJECTIVES To investigate the associations of exposure to air pollutant mixture in the 1st and 2nd trimesters of pregnancy with the risks of HDP and its subtypes. METHODS Pregnancy data were obtained from the China Labor and Delivery Survey, a nationwide cross-sectional survey in 2015 and 2016. Levels of air pollutants [including fine particulate matter (PM2.5), carbon monoxide (CO), nitrogen dioxide (NO2), ozone (O3), and sulfur dioxide (SO2)] in the 1st and 2nd trimesters were estimated based on the model developed by the Institution of Atmospheric Physics, Chinese Academy of Science. Generalized linear mixed models were built to assess the single-exposure effects of air pollutants in early gestation on HDP. The restricted cubic spline function was further applied to assess the potential non-linearity. The weighted quantile sum (WQS) regression was used to investigate the effects of co-exposure to multiple air pollutants. RESULTS A total of 67,512 pregnancies were included, and 2,834 were HDP cases. The single-effect analysis showed that CO, PM2.5, and SO2 exposure in the 2nd trimester was positively associated with the risks of gestational hypertension (GH), with adjusted odds ratios (aORs) and 95% confidence intervals (CI) of 1.16 (1.04, 1.28), 1.19 (1.04, 1.37), and 1.13 (1.04, 1.22), respectively. The first-trimester O3 exposure was also associated with an increased preeclampsia/eclampsia (PE) risk (aOR = 1.17; 95%CI: 1.02, 1.33). WQS regression confirmed positive associations of air pollutant mixture with HDP subtypes, with PM2.5 as the main contributing pollutant to GH, and CO and O3 as the main pollutants to PE. CONCLUSIONS Exposure to multiple air pollutant mixtures in early pregnancy was associated with increased risks of hypertensive disorders in pregnancy.
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Affiliation(s)
- Wen Jiang
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China; School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Guoqi Yu
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China; Global Centre for Asian Women's Health, Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Cuiping Wang
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China
| | - Shengju Yin
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Yun Huang
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China
| | - Qian Chen
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China
| | - Kun Sun
- Department of Pediatric Cardiology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China
| | - Jun Zhang
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China; School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
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14
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Lv L, Li W, Li X, Wang D, Weng H, Zhu YC, Wang Y. Mixture toxic effects of thiacloprid and cyproconazole on honey bees (Apis mellifera L.). Sci Total Environ 2023; 870:161700. [PMID: 36690094 DOI: 10.1016/j.scitotenv.2023.161700] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 01/09/2023] [Accepted: 01/15/2023] [Indexed: 06/17/2023]
Abstract
Pesticide exposure remains one of the main factors in the population decline of insect pollinators. It is urgently necessary to assess the effects of mixtures on pollinator risk assessments because they are often exposed to numerous agrochemicals. In the present study, we explored the mixture toxic effects of thiacloprid (THI) and cyproconazole (CYP) on honey bees (Apis mellifera L.). Our findings revealed that THI possessed higher acute toxicity to A. mellifera (96-h LC50 value of 216.3 mg a.i. L-1) than CYP (96-h LC50 value of 601.4 mg a.i. L-1). It's worth noting that the mixture of THI and CYP exerted an acute synergistic effect on honey bees. At the same time, the activities of detoxification enzyme cytochrome P450s (CYP450s) and neuro target enzyme Acetylcholinesterase (AChE), as well as the expressions of seven genes (CRBXase, CYP306A1, CYP6AS14, apidaecin, defensing-2, vtg, and gp-93) associated with detoxification metabolism, immune response, development, and endoplasmic reticulum stress, were significantly altered in the combined treatment compared with the corresponding individual exposures of THI or CYP. These data indicated that a mixture of THI and CYP could disturb the physiological homeostasis of honey bees. Our study provides a theoretical basis for in-depth studies on the impacts of pesticide mixtures on the health of honey bees. Our study also provides important guidance for the rational application of pesticide mixtures to protect pollinators in agricultural production effectively.
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Affiliation(s)
- Lu Lv
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products/Key Laboratory of Detection for Pesticide Residues and Control of Zhejiang Province, Institute of Quality and Standard for Agro-products, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, Zhejiang, PR China
| | - Wenhong Li
- Guizhou Institute of Plant Protection, Guizhou Academy of Agricultural Sciences, Guiyang 550006, Guizhou, PR China
| | - Xinfang Li
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products/Key Laboratory of Detection for Pesticide Residues and Control of Zhejiang Province, Institute of Quality and Standard for Agro-products, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, Zhejiang, PR China
| | - Dou Wang
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products/Key Laboratory of Detection for Pesticide Residues and Control of Zhejiang Province, Institute of Quality and Standard for Agro-products, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, Zhejiang, PR China
| | - Hongbiao Weng
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products/Key Laboratory of Detection for Pesticide Residues and Control of Zhejiang Province, Institute of Quality and Standard for Agro-products, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, Zhejiang, PR China
| | - Yu-Cheng Zhu
- United States Department of Agriculture, Agricultural Research Service (USDA-ARS), 141 Experiment Station Road, Stoneville, MS 38776, USA.
| | - Yanhua Wang
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products/Key Laboratory of Detection for Pesticide Residues and Control of Zhejiang Province, Institute of Quality and Standard for Agro-products, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, Zhejiang, PR China.
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15
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Mei H, Deng L, Xie J, Li X, Wu N, Hu L, Huang G, Mo F, Chen D, Xiao H, Yang P. Co-exposure to phenols and phthalates during pregnancy with the difference of body size in twins at one month old. Chemosphere 2023; 311:136991. [PMID: 36306967 DOI: 10.1016/j.chemosphere.2022.136991] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 10/08/2022] [Accepted: 10/20/2022] [Indexed: 06/16/2023]
Abstract
Humans are simultaneously exposed to phenols and phthalates (PAEs). However, the mixture effect of phenols and PAEs on the body size of twins is lacking. From 2016 to 2018, we recruited 228 pregnant twins and collected up to three urine samples. A total of 8 PAE metabolites and 7 phenols were detected in urine by liquid chromatography-tandem mass spectrometry. Chemical individual and mixture effects were estimated. Multivariable linear regression results presented the percentage change in twins' growth differences at one month old with maternal PAE and phenol exposure. These chemicals were positively associated with weight differences during the entire trimester. Moreover, the quantile g-computed model showed that increased urinary concentrations of all chemicals by one quartile were associated with a 22.85% (95%CI: 11.21-35.72%), 22.60% (95%CI: 12.31-33.83%), and 24.05% (95%CI: 13.11-36.05%) larger weight difference within twins in each trimester, respectively. Increasing all PAE metabolites and phenols by one quantile across the entire trimester, weight differences increased by 26.61% (95% CI: 15.79%, 38.44%), and height differences increased by 15.84% (95%CI: 3.92%, 29.13%). Co-exposure to PAEs and phenols may primarily play a role in twins' growth.
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Affiliation(s)
- Hong Mei
- Institute of Maternal and Child Health, Wuhan Children's Hospital Wuhan Maternal and Child Healthcare Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China
| | - Langjing Deng
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, Guangdong, PR China
| | - Jinying Xie
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, Guangdong, PR China
| | - Xiaojie Li
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, Guangdong, PR China
| | - Nanxin Wu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, Guangdong, PR China
| | - Liqin Hu
- Institute of Maternal and Child Health, Wuhan Children's Hospital Wuhan Maternal and Child Healthcare Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China
| | - Guangtong Huang
- School of Medicine, Jinan University, Guangzhou, 510632, Guangdong, PR China
| | - Fanyu Mo
- School of Medicine, Jinan University, Guangzhou, 510632, Guangdong, PR China
| | - Da Chen
- Guangdong Key Laboratory of Environmental Pollution and Health, School of Environment, Jinan University, Guangzhou, 510632, Guangdong, PR China
| | - Han Xiao
- Institute of Maternal and Child Health, Wuhan Children's Hospital Wuhan Maternal and Child Healthcare Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China.
| | - Pan Yang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, Guangdong, PR China; Guangdong Key Laboratory of Environmental Pollution and Health, School of Environment, Jinan University, Guangzhou, 510632, Guangdong, PR China.
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Mei Y, Li A, Zhao J, Zhou Q, Zhao M, Xu J, Li R, Li Y, Li K, Ge X, Guo C, Wei Y, Xu Q. Association of long-term air pollution exposure with the risk of prediabetes and diabetes: Systematic perspective from inflammatory mechanisms, glucose homeostasis pathway to preventive strategies. Environ Res 2023; 216:114472. [PMID: 36209785 DOI: 10.1016/j.envres.2022.114472] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/02/2022] [Revised: 08/29/2022] [Accepted: 09/28/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Limited evidence suggests the association of air pollutants with a series of diabetic cascades including inflammatory pathways, glucose homeostasis disorder, and prediabetes and diabetes. Subclinical strategies for preventing such pollutants-induced effects remain unknown. METHODS We conducted a cross-sectional study in two typically air-polluted Chinese cities in 2018-2020. One-year average PM1, PM2.5, PM10, SO2, NO2, and O3 were calculated according to participants' residence. GAM multinomial logistic regression was performed to investigate the association of air pollutants with diabetes status. GAM and quantile g-computation were respectively performed to investigate individual and joint effects of air pollutants on glucose homeostasis markers (glucose, insulin, HbA1c, HOMA-IR, HOMA-B and HOMA-S). Complement C3 and hsCRP were analyzed as potential mediators. The ABCS criteria and hemoglobin glycation index (HGI) were examined for their potential in preventive strategy. RESULTS Long-term air pollutants exposure was associated with the risk of prediabetes [Prevalence ratio for O3 (PR_O3) = 1.96 (95% CI: 1.24, 3.03)] and diabetes [PR_PM1 = 1.18 (95% CI: 1.05, 1.32); PR_PM2.5 = 1.08 (95% CI: 1.00, 1.16); PR_O3 = 1.35 (95% CI: 1.03, 1.74)]. PM1, PM10, SO2 or O3 exposure was associated with glucose-homeostasis disorder. For example, O3 exposure was associated with increased levels of glucose [7.67% (95% CI: 1.75, 13.92)], insulin [19.98% (95% CI: 4.53, 37.72)], HOMA-IR [34.88% (95% CI: 13.81, 59.84)], and decreased levels of HOMA-S [-25.88% (95% CI: -37.46, -12.16)]. Complement C3 and hsCRP played mediating roles in these relationships with proportion mediated ranging from 6.95% to 60.64%. Participants with HGI ≤ -0.53 were protected from the adverse effects of air pollutants. CONCLUSION Our study provides comprehensive insights into air pollutant-associated diabetic cascade and suggests subclinical preventive strategies.
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Affiliation(s)
- Yayuan Mei
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Ang Li
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Jiaxin Zhao
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Quan Zhou
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Meiduo Zhao
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Jing Xu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Runkui Li
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China; State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
| | - Yanbing Li
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Kai Li
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Xiaoyu Ge
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Chen Guo
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environment Sciences, Beijing, 100012, China
| | - Yongjie Wei
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environment Sciences, Beijing, 100012, China.
| | - Qun Xu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China.
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Hu G, Wang H, Shi H, Wan Y, Zhu J, Li X, Wang Q, Wang Y. Mixture toxicity of cadmium and acetamiprid to the early life stages of zebrafish (Danio rerio). Chem Biol Interact 2022; 366:110150. [PMID: 36084721 DOI: 10.1016/j.cbi.2022.110150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Revised: 08/14/2022] [Accepted: 09/01/2022] [Indexed: 11/26/2022]
Abstract
Aquatic organisms are often exposed to contaminants that occur in the natural environment. Nevertheless, the toxic effects of chemical combinations on aquatic animals and their underlying toxic mechanisms for dealing with such exposures are still not fully understood. In this study, we investigated the combined effects of cadmium (Cd) and acetamiprid (ACE) on zebrafish (Danio rerio) using various endpoints. Cd exhibited a 96-h LC50 value of 4.77 mg a.i. L-1 against zebrafish embryos, which was lower than that of ACE (152.6 mg a.i. L-1). In contrast, the 96-h LC50 value of the mixture of Cd and ACE was 157.4 mg a.i. L-1. The mixture of Cd and ACE had a synergetic effect on the organisms. The activities of T-SOD, POD, and CarE were significantly changed in most exposures compared with the control group. In addition, five genes (TRα, crh, Tnf, IL, and P53) involved in oxidative stress, cellular apoptosis, the immune system, and the endocrine system exhibited more remarkable changes when exposed to chemical mixtures relative to their individual counterparts, demonstrating variations in the cellular and mRNA expression levels induced by the mixture exposure of ACE and Cd during the embryonic development of zebrafish. Therefore, these results indicated that the combined pollution of ACE and Cd could be a potentially hazardous factor, and further investigation is necessary for the safety evaluation and application of ACE. Moreover, further investigation on the combined toxicities of various chemicals must be performed to determine the chemical mixtures with synergistic responses.
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Affiliation(s)
- Guixian Hu
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Institute of Agro-product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, Zhejiang, China
| | - Hao Wang
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Institute of Agro-product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, Zhejiang, China
| | - Haiyan Shi
- Department of Pesticide Science, College of Plant Protection, Nanjing Agricultural University, State & Local Joint Engineering Research Center of Green Pesticide Invention and Application, Nanjing, 210095, Jiangsu, China
| | - Yujie Wan
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Institute of Agro-product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, Zhejiang, China
| | - Jiahong Zhu
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Institute of Agro-product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, Zhejiang, China
| | - Xue Li
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Institute of Agro-product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, Zhejiang, China
| | - Qiang Wang
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Institute of Agro-product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, Zhejiang, China.
| | - Yanhua Wang
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Institute of Agro-product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, Zhejiang, China.
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Fleurbaix E, Parant M, Maul A, Cossu-Leguille C. Toxicity of lanthanides on various fish cell lines. Ecotoxicology 2022; 31:1147-1157. [PMID: 35994187 DOI: 10.1007/s10646-022-02574-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 08/09/2022] [Indexed: 06/15/2023]
Abstract
The growing use of Lanthanides in new technologies has increased their anthropogenic releases into the aquatic environment over the last decades. However, knowledge on their ecotoxicological impacts is still incomplete, especially with regard to biological effects of Lanthanides mixtures and the possible regular variation in toxicity along the Lanthanides series. The present study evaluated the individual toxicity of all Lanthanides and the toxicity of mixtures of three of them, namely Neodymium (Nd3+), Gadolinium (Gd3+), and Ytterbium (Yb3+) on Danio rerio fibroblast-like cells (ZF4). Individual and mixtures toxicity of Neodymium (Nd3+) and Ytterbium (Yb3+) were also assessed on Danio rerio hepatic cells (ZFL) and Oncorhynchus mykiss epithelial cells (RTgill-W1). The measured Lanthanide concentrations were close to the nominal ones in the culture media of ZF4, ZFL, and RTgill-W1 cells (85-99%). A toxic impact was observed on the three fish cell lines exposed to all Lanthanides tested individually. RTgill-W1 appeared as the less sensitive cells, compared to the two others. Four Lanthanides, Erbium (Er3+), Thulium (Tm3+), Ytterbium (Yb3+) and Lutetium (Lu3+) showed a higher toxicity than the others on ZF4 cells but no correlation could be established between the toxicity of Lanthanides and the order of the elements within the Lanthanides series. Exposures to binary mixtures highlighted the presence of synergistic effects on cell viability for all cell lines.
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Affiliation(s)
- Emmanuel Fleurbaix
- LIEC - Laboratoire Interdisciplinaire des Environnements Continentaux, Université de Lorraine, CNRS, rue du Général Delestraint, F-57000, Metz, France
| | - Marc Parant
- LIEC - Laboratoire Interdisciplinaire des Environnements Continentaux, Université de Lorraine, CNRS, rue du Général Delestraint, F-57000, Metz, France
| | - Armand Maul
- LIEC - Laboratoire Interdisciplinaire des Environnements Continentaux, Université de Lorraine, CNRS, rue du Général Delestraint, F-57000, Metz, France
| | - Carole Cossu-Leguille
- LIEC - Laboratoire Interdisciplinaire des Environnements Continentaux, Université de Lorraine, CNRS, rue du Général Delestraint, F-57000, Metz, France.
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Feng Y, Bai Y, Lu Y, Chen M, Fu M, Guan X, Cao Q, Yuan F, Jie J, Li M, Meng H, Wang C, Hong S, Zhou Y, Zhang X, He M, Guo H. Plasma perfluoroalkyl substance exposure and incidence risk of breast cancer: A case-cohort study in the Dongfeng-Tongji cohort. Environ Pollut 2022; 306:119345. [PMID: 35472559 DOI: 10.1016/j.envpol.2022.119345] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 04/18/2022] [Accepted: 04/20/2022] [Indexed: 06/14/2023]
Abstract
Experimental studies have suggested perfluoroalkyl substances (PFASs) as mammary toxicants, but few studies evaluated the prospective associations of PFASs with breast cancer risk. We performed a case-cohort study within the Dongfeng-Tongji cohort, including incident breast cancer cases (n = 226) and a random sub-cohort (n = 990). Baseline plasma concentrations of four perfluorinated carboxylic acids (PFCAs) [perfluorooctanoic acid (PFOA), perfluorononanoic acid (PFNA), perfluorodecanoic acid (PFDA), and perfluoroheptanoic acid (PFHpA)] and two perfluorinated sulfonic acids (PFSAs) [perfluorooctane sulfonic acid (PFOS) and perfluorohexane sulfonic acid (PFHxS)] were measured. Barlow-weighted Cox regression models revealed that each 1-unit increase in ln-transformed PFOA and PFHpA was associated with a separate 35% and 20% elevated incident risk of breast cancer [HR(95%CI) = 1.35(1.03, 1.78) and 1.20(1.02, 1.40), respectively], which were also significant among postmenopausal females [HR(95%CI) = 1.34(1.01, 1.77) and 1.23 (1.02, 1.48), respectively]. Quantile g-computation analysis observed a 19% increased incident risk of breast cancer along with each simultaneous quartile increase in all ln-transformed PFCA concentrations [HR(95%CI) = 1.19(1.01, 1.41)], with PFOA accounting for 56% of the positive effect. Our findings firstly revealed the impact of short-chain PFHpA on increased incident risk of breast cancer, suggested exposure to PFASs as a risk factor for breast cancer, and shed light on breast cancer prevention by regulating PFASs as a chemical class.
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Affiliation(s)
- Yue Feng
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yansen Bai
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yanjun Lu
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Mengshi Chen
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha, China
| | - Ming Fu
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xin Guan
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qiang Cao
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Fangfang Yuan
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jiali Jie
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Mengying Li
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hua Meng
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chenming Wang
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shiru Hong
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yuhan Zhou
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaomin Zhang
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Meian He
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Huan Guo
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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Xiang Y, Li Y, Luo X, Liu Y, Huang P, Yao B, Zhang L, Li W, Xue J, Gao H, Li Y, Zhang W. Mixed plantations enhance more soil organic carbon stocks than monocultures across China: Implication for optimizing afforestation/reforestation strategies. Sci Total Environ 2022; 821:153449. [PMID: 35093345 DOI: 10.1016/j.scitotenv.2022.153449] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Revised: 01/18/2022] [Accepted: 01/22/2022] [Indexed: 06/14/2023]
Abstract
Forests play an essential role in mitigating climate change by sequestering carbon dioxide from the atmosphere. The establishment of mixed plantations is a promising way to store carbon (C) in soil compared with monocultures. However, monoculture forests largely dominate the rapid increase in forest areas in China. To optimize afforestation strategies and maximize the subsequent potential of C sequestration, we conducted a meta-analysis with 427 observations across 176 study sites in China. The goal was to quantify changes in the stocks of soil organic carbon (SOC) in mixed plantations compared with monocultures and to identify the predominant drivers for the stocks of SOC, including geological location, climatic factors, land use history, edaphic properties, plantation age, the inclusion of nitrogen-fixing trees, mixing proportion, and mixed plant types. The results showed that mixed plantations significantly increased the SOC stocks by 12% compared with monocultures, and the mixing proportion should not exceed 55% to produce higher SOC stocks in mixed plantations compared with monoculture. Additionally, mixed plantations in barren land are the most likely to increase the SOC stocks with limited water or low temperatures for growth. Additional measures instead of mixed plantations should be explored to increase SOC stocks in north, central, and northwest China. The data from this study demonstrated the spatiotemporal variability on the storage of SOC driven by mixed trees and has valuable implications for the establishment and management of afforestation.
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Affiliation(s)
- Yangzhou Xiang
- Guizhou Provincial Key Laboratory of Geographic State Monitoring of Watershed, School of Geography and Resources, Guizhou Education University, Guiyang 550018, China; Institute of Desertification Studies, Chinese Academy of Forestry, Beijing 100091, China
| | - Yuan Li
- State Key Laboratory of Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China
| | - Xuqiang Luo
- Guizhou Provincial Key Laboratory of Geographic State Monitoring of Watershed, School of Geography and Resources, Guizhou Education University, Guiyang 550018, China
| | - Ying Liu
- School of Biological Sciences, Guizhou Education University, Guiyang 550018, China
| | - Pei Huang
- Institute of Desertification Studies, Chinese Academy of Forestry, Beijing 100091, China; Institute of Ecological Conservation and Restoration, Chinese Academy of Forestry, Beijing 100091, China; State Forestry Administration Dunhuang Desert Ecosystem Location Research Station, Dunhuang 736200, China
| | - Bin Yao
- Institute of Desertification Studies, Chinese Academy of Forestry, Beijing 100091, China; Institute of Ecological Conservation and Restoration, Chinese Academy of Forestry, Beijing 100091, China; State Forestry Administration Dunhuang Desert Ecosystem Location Research Station, Dunhuang 736200, China.
| | - Leiyi Zhang
- South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, China; Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology, Sun Yat-sen University, Guangzhou 510006, China
| | - Wenli Li
- Saibei Forest Farm, Zhangjiakou City, Zhangjiakou 075000, China
| | - Jianming Xue
- College of Biology and the Environment, Nanjing Forestry University, Nanjing 210037, China; New Zealand Forest Research Institute Ltd. (Scion), Scion 8440, New Zealand
| | - Hongjuan Gao
- Guizhou Provincial Key Laboratory of Geographic State Monitoring of Watershed, School of Geography and Resources, Guizhou Education University, Guiyang 550018, China
| | - Yonghua Li
- Institute of Desertification Studies, Chinese Academy of Forestry, Beijing 100091, China; Institute of Ecological Conservation and Restoration, Chinese Academy of Forestry, Beijing 100091, China; State Forestry Administration Dunhuang Desert Ecosystem Location Research Station, Dunhuang 736200, China
| | - Wei Zhang
- Guizhou Provincial Key Laboratory of Geographic State Monitoring of Watershed, School of Geography and Resources, Guizhou Education University, Guiyang 550018, China
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Fan D, Sun J, Liu C, Wang S, Han J, Agathokleous E, Zhu Y. Measurement and modeling of hormesis in soil bacteria and fungi under single and combined treatments of Cd and Pb. Sci Total Environ 2021; 783:147494. [PMID: 34088122 DOI: 10.1016/j.scitotenv.2021.147494] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 04/28/2021] [Accepted: 04/28/2021] [Indexed: 06/12/2023]
Abstract
Heavy metals are considered major environmental pollutants. Soil microorganisms represent a predominant component of soils ecosystems, yet there is little information regarding hormetic responses of soil microorganisms to single and combined exposures to heavy metals. In the present study, to explore and predict the hormetic response of soil microorganisms, dose-response relationships of bacterial and fungal populations to single and combined treatments of cadmium (Cd) and lead (Pb) were evaluated. The results revealed hormetic responses of bacterial and fungal populations to both single and combined Cd and Pb treatments. The maximum stimulation (Mmax; relative to control treatment with no metals) of bacterial and fungal populations was 40% at 2 mg Cd/kg and 60% at 160 mg Pb/kg. An enhanced Mmax occurred in bacterial (50%) and fungal (75%) populations in the presence of the binary mixtures of 0.6 mg Cd/kg + 160 mg Pb/kg and 4.0 mg Cd/kg + 200 mg Pb/kg, suggesting positive additivity. This study showed that the hormetic effects of the mixtures were related to the independent effect of Cd and Pb, but they could not be predicted by the single effect of Cd or Pb. These new findings of the hormetic response of soil microorganisms to single treatments of Cd and Pb and their binary mixtures can facilitate the determination and minimization of ecological risks in heavy metal-polluted soils.
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Affiliation(s)
- Diwu Fan
- College of Biology and the Environment, Nanjing Forestry University, Nanjing, Jiangsu 210037, China
| | - Jinwei Sun
- College of Biology and the Environment, Nanjing Forestry University, Nanjing, Jiangsu 210037, China
| | - Chenglei Liu
- College of Biology and the Environment, Nanjing Forestry University, Nanjing, Jiangsu 210037, China
| | - Shengyan Wang
- College of Biology and the Environment, Nanjing Forestry University, Nanjing, Jiangsu 210037, China
| | - Jiangang Han
- College of Biology and the Environment, Nanjing Forestry University, Nanjing, Jiangsu 210037, China; Co-Innovation Center for the Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, Jiangsu 210037, China
| | - Evgenios Agathokleous
- Key Laboratory of Agrometeorology of Jiangsu Province, School of Applied Meteorology, Nanjing University of Information Science & Technology (NUIST), Nanjing, Jiangsu 210044, China
| | - Yongli Zhu
- College of Biology and the Environment, Nanjing Forestry University, Nanjing, Jiangsu 210037, China; Co-Innovation Center for the Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, Jiangsu 210037, China.
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Junge KM, Buchenauer L, Elter E, Butter K, Kohajda T, Herberth G, Röder S, Borte M, Kiess W, von Bergen M, Simon JC, Rolle-Kampczyk UE, Lehmann I, Gminski R, Ohlmeyer M, Polte T. Wood emissions and asthma development: Results from an experimental mouse model and a prospective cohort study. Environ Int 2021; 151:106449. [PMID: 33611105 DOI: 10.1016/j.envint.2021.106449] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Revised: 12/22/2020] [Accepted: 02/03/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND Increased use of renewable resources like sustainably produced wood in construction or for all sorts of long-lived products is considered to contribute to reducing society's carbon footprint. However, as a natural, biological material, wood and wood products emit specific volatile organic compounds (VOCs). Therefore, the evaluation of possible health effects due to wood emissions is of major interest. OBJECTIVES We investigated the effects of an exposure to multiple wood-related VOCs on asthma development. METHODS A murine asthma model was used to evaluate possible allergic and inflammatory effects on the lung after short- or long-term and perinatal exposure to pinewood or oriented strand board (OSB). In addition, wood-related VOCs were measured within the German prospective mother-child cohort LINA and their joint effect on early wheezing or asthma development in children until the age of 10 was estimated by Bayesian kernel machine regression (BKMR) stratifying also for family history of atopy (FHA). RESULTS Our experimental data show that neither pinewood nor OSB emissions even at high total VOC levels and a long-lasting exposure period induce significant inflammatory or asthma-promoting effects in sensitized or non-sensitized mice. Moreover, an exposure during the vulnerable time window around birth was also without effect. Consistently, in our mother-child cohort LINA, an exposure to multiple wood-related VOCs during pregnancy or the first year of life was not associated with early wheezing or asthma development in children independent from their FHA. CONCLUSION Our findings indicate that emissions from wood and wood products at levels commonly occurring in the living environment do not exert adverse effects concerning wheezing or asthma development.
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Affiliation(s)
- Kristin M Junge
- UFZ - Helmholtz Centre for Environmental Research Leipzig-Halle, Department of Environmental Immunology, Leipzig, Germany
| | - Lisa Buchenauer
- UFZ - Helmholtz Centre for Environmental Research Leipzig-Halle, Department of Environmental Immunology, Leipzig, Germany; Department of Dermatology, Venerology and Allergology, Leipzig University Medical Center, University of Leipzig, Leipzig, Germany
| | - Elena Elter
- UFZ - Helmholtz Centre for Environmental Research Leipzig-Halle, Department of Environmental Immunology, Leipzig, Germany; Department of Dermatology, Venerology and Allergology, Leipzig University Medical Center, University of Leipzig, Leipzig, Germany
| | - Katja Butter
- Thünen Institute of Wood Research, Hamburg, Germany
| | - Tibor Kohajda
- UFZ - Helmholtz Centre for Environmental Research Leipzig-Halle, Department of Molecular Systems Biology, Leipzig, Germany
| | - Gunda Herberth
- UFZ - Helmholtz Centre for Environmental Research Leipzig-Halle, Department of Environmental Immunology, Leipzig, Germany
| | - Stefan Röder
- UFZ - Helmholtz Centre for Environmental Research Leipzig-Halle, Department of Environmental Immunology, Leipzig, Germany
| | - Michael Borte
- Children's Hospital, Municipal Hospital "St. Georg", Leipzig, Germany
| | - Wieland Kiess
- University of Leipzig, Hospital for Children and Adolescents - Centre for Pediatric Research, Leipzig, Germany; University of Leipzig, LIFE - Leipzig Research Centre for Civilization Diseases, Leipzig, Germany
| | - Martin von Bergen
- UFZ - Helmholtz Centre for Environmental Research Leipzig-Halle, Department of Molecular Systems Biology, Leipzig, Germany; University of Leipzig, Faculty of Life Sciences, Institute of Biochemistry, Leipzig, Germany
| | - Jan C Simon
- Department of Dermatology, Venerology and Allergology, Leipzig University Medical Center, University of Leipzig, Leipzig, Germany
| | - Ulrike E Rolle-Kampczyk
- UFZ - Helmholtz Centre for Environmental Research Leipzig-Halle, Department of Molecular Systems Biology, Leipzig, Germany
| | - Irina Lehmann
- Charité - Universitätsmedizin Berlin, Environmental Epigenetics and Lung Research Group, Berlin, Germany; Berlin Institute of Health (BIH), Molecular Epidemiology, Berlin, Germany
| | - Richard Gminski
- Institute for Infection Prevention and Hospital Epidemiology, Environmental Medicine, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | | | - Tobias Polte
- UFZ - Helmholtz Centre for Environmental Research Leipzig-Halle, Department of Environmental Immunology, Leipzig, Germany; Department of Dermatology, Venerology and Allergology, Leipzig University Medical Center, University of Leipzig, Leipzig, Germany.
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Wang C, Pi X, Chen Y, Wang D, Yin S, Jin L, Li Z, Ren A, Wang L, Yin C. Prenatal exposure to barium and the occurrence of neural tube defects in offspring. Sci Total Environ 2021; 764:144245. [PMID: 33385660 DOI: 10.1016/j.scitotenv.2020.144245] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2020] [Revised: 11/24/2020] [Accepted: 11/25/2020] [Indexed: 06/12/2023]
Abstract
Neural tube defects (NTDs) have a complex etiology. Few studies have assessed alkaline earth metals exposures and occurrence of NTDs. We examined the association between prenatal exposure to magnesium (Mg), calcium (Ca), strontium (Sr) and barium (Ba) and risk for NTDs in a case-control study, and assessed the teratogenic effects of Ba on mice. Placentas were collected from 408 women with NTD-affected pregnancies and 593 women who delivered healthy infants, and concentrations of these metals were determined as prenatal exposure markers. The single effect of individual exposure and joint effect of coexposure to these metals were evaluated with logistic regression and Bayesian kernel machine regression (BKMR), respectively. Barium chloride (BaCl2) was intragastrically administered to pregnant ICR mice and fetal mice were examined for NTDs. Median concentrations of Mg and Ba were higher in NTD cases than in controls (Pall < 0.001). In logistic regression, higher levels of Ba were associated with 1.6-fold increased risk for NTDs (95% confidence interval: 1.06-2.43). In BKMR, the joint effect of the four-metal mixture on NTD risk increased steadily with the levels of the mixture. A change in Ba concentration from the 25th to 75th percentile displayed a risk effect when the other three metals were fixed at the 25th, 50th or 75th percentile, while such a change in Ca concentration showed a protective effect when the other metals were held at the 25th or 50th percentile. No interactions among metals were found. In the mouse experiment, dams treated with 200 mg/kg BaCl2 showed 16.8% of NTDs in fetal mice, compared to 2.6% in the untreated control group (P < 0.01). Taken together, higher mixture levels of the four alkaline earth metals were associated with increased risk for NTDs, with Ba being the major contributor for the joint effect. Intragastric administration of Ba can induce NTDs in mice.
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Affiliation(s)
- Chengrong Wang
- Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China; Institute of Reproductive and Child Health/Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Peking University, Beijing, China
| | - Xin Pi
- Institute of Reproductive and Child Health/Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Peking University, Beijing, China; Department of Social Medicine and Health Education, School of Public Health, Peking University, Beijing, China
| | - Yongyan Chen
- Institute of Reproductive and Child Health/Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Peking University, Beijing, China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Di Wang
- Institute of Reproductive and Child Health/Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Peking University, Beijing, China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Shengju Yin
- Institute of Reproductive and Child Health/Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Peking University, Beijing, China; Department of Pharmacology, School of Basic Medical Sciences, Peking University, Beijing, China
| | - Lei Jin
- Institute of Reproductive and Child Health/Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Peking University, Beijing, China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Zhiwen Li
- Institute of Reproductive and Child Health/Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Peking University, Beijing, China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Aiguo Ren
- Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China; Institute of Reproductive and Child Health/Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Peking University, Beijing, China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
| | - Linlin Wang
- Institute of Reproductive and Child Health/Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Peking University, Beijing, China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
| | - Chenghong Yin
- Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China.
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Dufour P, Pirard C, Petrossians P, Beckers A, Charlier C. Association between mixture of persistent organic pollutants and thyroid pathologies in a Belgian population. Environ Res 2020; 181:108922. [PMID: 31759644 DOI: 10.1016/j.envres.2019.108922] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/28/2019] [Revised: 10/24/2019] [Accepted: 11/11/2019] [Indexed: 06/10/2023]
Abstract
Previous years, the incidence of autoimmune thyroid diseases has increased worldwide. The presence of many pollutants in the environment suspected to be thyroid disruptors may have contributed to the observed increase. Unfortunately, the results from epidemiological studies assessing the association between pollution and thyroid disorders remain inconsistent, maybe due to a nearly complete neglect of the mixture effect. The blood levels of 12 brominated flame retardants, 3 polychlorinated biphenyls, 16 organochlorine pesticides, 7 perfluoroalkyl substances and 16 phenolic organohalogens were measured in 35 hypothyroid and 44 hyperthyroid volunteers and in 160 individuals from the general population designed as controls. Weighted quantile sum (WQS) regressions were performed to compute indexes representing the mixture of POPs, and we assessed the relations with thyroid disorders. Nineteen pollutants were detected in more than 40% of the individuals and were thus included in the WQS indexes. The WQS index was statistically significantly associated with an increased odds of hypothyroidism (odds ratio (OR) = 98.1; 95% CI: 5.51-1747) with the highest weights attributed to PCB 138 (w = 0.210), 3-OH-CB 180 (w = 0.197), 4-OH-CB 146 (w = 0.188), 4',4-DDE (w = 0.156) while there were no evidence of a relation with increased odds of hyperthyroidism. Given the relative low number of individuals included in the present investigation, standard WQS methodology could not be used, this study should thus be considered as a preliminary, hypothesis-generating study. Nevertheless, these results highlighted the importance of considering the potential effect of chemical mixture when studying endocrine disruptors.
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Affiliation(s)
- Patrice Dufour
- Laboratory of Clinical, Forensic and Environmental Toxicology, University of Liege (ULg), CHU (B35), 4000, Liege, Belgium; Center for Interdisciplinary Research on Medicines (C.I.R.M.), University of Liege (ULg), CHU (B35), 4000, Liege, Belgium.
| | - Catherine Pirard
- Laboratory of Clinical, Forensic and Environmental Toxicology, University of Liege (ULg), CHU (B35), 4000, Liege, Belgium; Center for Interdisciplinary Research on Medicines (C.I.R.M.), University of Liege (ULg), CHU (B35), 4000, Liege, Belgium
| | - Patrick Petrossians
- Department of Endocrinology, University of Liege (ULg), CHU (BE 035), 4000, Liege, Belgium
| | - Albert Beckers
- Department of Endocrinology, University of Liege (ULg), CHU (BE 035), 4000, Liege, Belgium
| | - Corinne Charlier
- Laboratory of Clinical, Forensic and Environmental Toxicology, University of Liege (ULg), CHU (B35), 4000, Liege, Belgium; Center for Interdisciplinary Research on Medicines (C.I.R.M.), University of Liege (ULg), CHU (B35), 4000, Liege, Belgium
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McLachlan MS, Felizeter S, Klein M, Kotthoff M, De Voogt P. Fate of a perfluoroalkyl acid mixture in an agricultural soil studied in lysimeters. Chemosphere 2019; 223:180-187. [PMID: 30776763 DOI: 10.1016/j.chemosphere.2019.02.012] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/11/2018] [Revised: 01/31/2019] [Accepted: 02/04/2019] [Indexed: 05/27/2023]
Abstract
Perfluoroalkyl acids (PFAAs) are environmental contaminants of concern in both food and drinking water. PFAA fate in agricultural soil is an important determinant of PFAA contamination of groundwater and crops. The fate of C4-C14 perfluorinated carboxylic acids (PFCAs) and two perfluorinated sulfonic acids (PFSAs) in an agricultural soil was studied in a field lysimeter experiment. Soil was spiked with PFAAs at four different levels and crops were planted. PFAA concentrations in soil were measured at the beginning and end of the growing season. Lysimeter drainage water was collected and analysed. The concentrations of all PFAAs decreased in the surface soil during the growing season, with the decrease being negatively correlated with the number of fluorinated carbons in the PFAA molecule. PFAA transfer to the drainage water was also negatively correlated with the number of fluorinated carbons. For the C11-C14 PFCAs most of the decrease in soil concentration was attributed to the formation of non-extractable residues. For the remaining PFAAs leaching was the dominant removal process. Leaching was concentration dependent, with more rapid removal from the soils spiked with higher PFAA levels. Model simulations based on measured Kd values under-predicted removal by leaching. This was attributed to mixture effects that reduced PFAA sorption to soil.
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Affiliation(s)
- Michael S McLachlan
- Department of Environmental Science and Analytical Chemistry (ACES), Stockholm University, Sweden.
| | - Sebastian Felizeter
- Universiteit van Amsterdam, Institute for Biodiversity and Ecosystem Dynamics, Science Park 904, 1098XH Amsterdam, the Netherlands
| | - Michael Klein
- Fraunhofer Institute for Molecular Biology and Applied Ecology IME, Schmallenberg, Germany
| | - Matthias Kotthoff
- Fraunhofer Institute for Molecular Biology and Applied Ecology IME, Schmallenberg, Germany
| | - Pim De Voogt
- Universiteit van Amsterdam, Institute for Biodiversity and Ecosystem Dynamics, Science Park 904, 1098XH Amsterdam, the Netherlands; KWR Watercycle Research Institute, Nieuwegein, the Netherlands
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26
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Martins MJ, Roque Bravo R, Enea M, Carmo H, Carvalho F, Bastos MDL, Dinis-Oliveira RJ, Dias da Silva D. Ethanol addictively enhances the in vitro cardiotoxicity of cocaine through oxidative damage, energetic deregulation, and apoptosis. Arch Toxicol 2018; 92:2311-2325. [PMID: 29846769 DOI: 10.1007/s00204-018-2227-7] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2018] [Accepted: 05/17/2018] [Indexed: 11/30/2022]
Abstract
Cocaine (COC) is frequently consumed in polydrug abuse settings, and ethanol (EtOH) is the most prominent co-abused substance. Clinical data and experimental evidence suggest that the co-administration of COC with EtOH can be more cardiotoxic than EtOH or COC alone, but information on the molecular pathways involved is scarce. Since these data are crucial to potentiate the identification of therapeutic targets to treat intoxications, we sought to (i) elucidate the type of interaction that occurs between both substances, and (ii) assess the mechanisms implicated in the cardiotoxic effects elicited by COC combined with EtOH. For this purpose, H9c2 cardiomyocytes were exposed to COC (104 µM-6.5 mM) and EtOH (977 µM-4 M), individually or combined at a molar ratio based on blood concentrations of intoxicated abusers (COC 1: EtOH 9; 206 µM-110 mM). After 24 h, cell metabolic viability was recorded by the MTT assay and mixture toxicity expectations were calculated using the independent action (IA) and concentration addition (CA) models. EtOH (EC50 305.26 mM) proved to act additively with COC (EC50 2.60 mM) to significantly increase the drug in vitro cardiotoxicity, even when both substances were combined at individually non-cytotoxic concentrations. Experimental mixture testing (EC50 19.18 ± 3.36 mM) demonstrated that the cardiotoxicity was fairly similar to that predicted by IA (EC50 22.95 mM) and CA (EC50 21.75 mM), supporting additivity. Concentration-dependent increases of intracellular ROS/RNS and GSSG, depletion of GSH and ATP, along with mitochondrial hyperpolarization and activation of intrinsic, extrinsic, and common apoptosis pathways were observed both for single and combined exposures. In general, the mixture exhibited a toxicological profile that mechanistically did not deviate from the single drugs, suggesting that interventions such as antioxidant administration might aid in the clinical treatment of this type of polydrug intoxication. In a clinical perspective, the observed additive mixture effect may reflect the increased hazards at which users of this combination are exposed to in recreational settings.
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Affiliation(s)
- Maria João Martins
- UCIBIO/REQUIMTE, Laboratory of Toxicology, Biological Sciences Department, Faculty of Pharmacy, University of Porto, Rua Jorge Viterbo Ferreira, 228, Porto, 4050-313, Portugal
| | - Rita Roque Bravo
- UCIBIO/REQUIMTE, Laboratory of Toxicology, Biological Sciences Department, Faculty of Pharmacy, University of Porto, Rua Jorge Viterbo Ferreira, 228, Porto, 4050-313, Portugal
| | - Maria Enea
- UCIBIO/REQUIMTE, Laboratory of Toxicology, Biological Sciences Department, Faculty of Pharmacy, University of Porto, Rua Jorge Viterbo Ferreira, 228, Porto, 4050-313, Portugal
| | - Helena Carmo
- UCIBIO/REQUIMTE, Laboratory of Toxicology, Biological Sciences Department, Faculty of Pharmacy, University of Porto, Rua Jorge Viterbo Ferreira, 228, Porto, 4050-313, Portugal
| | - Félix Carvalho
- UCIBIO/REQUIMTE, Laboratory of Toxicology, Biological Sciences Department, Faculty of Pharmacy, University of Porto, Rua Jorge Viterbo Ferreira, 228, Porto, 4050-313, Portugal
| | - Maria de Lourdes Bastos
- UCIBIO/REQUIMTE, Laboratory of Toxicology, Biological Sciences Department, Faculty of Pharmacy, University of Porto, Rua Jorge Viterbo Ferreira, 228, Porto, 4050-313, Portugal
| | - Ricardo Jorge Dinis-Oliveira
- UCIBIO/REQUIMTE, Laboratory of Toxicology, Biological Sciences Department, Faculty of Pharmacy, University of Porto, Rua Jorge Viterbo Ferreira, 228, Porto, 4050-313, Portugal.,IINFACTS, Department of Sciences, Institute of Research and Advanced Training in Health Sciences and Technologies, University Institute of Health Sciences (IUCS-CESPU), Rua Central de Gandra, 1317, 4585-116, Gandra PRD, Portugal.,Department of Public Health, Forensic Sciences and Medical Education, Faculty of Medicine, University of Porto, Alameda Prof. Hernâni Monteiro, 4200-319, Porto, Portugal
| | - Diana Dias da Silva
- UCIBIO/REQUIMTE, Laboratory of Toxicology, Biological Sciences Department, Faculty of Pharmacy, University of Porto, Rua Jorge Viterbo Ferreira, 228, Porto, 4050-313, Portugal. .,IINFACTS, Department of Sciences, Institute of Research and Advanced Training in Health Sciences and Technologies, University Institute of Health Sciences (IUCS-CESPU), Rua Central de Gandra, 1317, 4585-116, Gandra PRD, Portugal.
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Mo LY, Liu J, Qin LT, Zeng HH, Liang YP. Two-Stage Prediction on Effects of Mixtures Containing Phenolic Compounds and Heavy Metals on Vibrio qinghaiensis sp. Q67. Bull Environ Contam Toxicol 2017; 99:17-22. [PMID: 28523368 DOI: 10.1007/s00128-017-2099-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2016] [Accepted: 04/27/2017] [Indexed: 06/07/2023]
Abstract
Two-stage prediction (TSP) model had been developed to predict toxicities of mixtures containing complex components, but its prediction power need to be further validated. Six phenolic compounds and six heavy metals were selected as mixture components. One mixture (M1) was built with equivalent-effect concentration ratio and four mixtures (M2-M5) were designed with fixed concentration ratio. In M1-M5, the toxicities were well predicted by TSP model, while CA overestimated and IA underestimated the toxicities. In M1-M5, compared with the actual mixture EC50 value, the prediction errors of TSP model (13.9%, 17.9%, 19.2%, and 17.3% and 15.8%, respectively) were significantly lower than those in the CA (higher than 30%) and IA models (20.9%, 33.0%, 20.6%, 21.8% and 12.5%, respectively). Thus, the TSP model performed better than the CA and IA model.
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Affiliation(s)
- Ling-Yun Mo
- Guangxi Key Laboratory of Environmental Pollution Control Theory and Technology, Guilin University of Technology, Guilin, 541004, People's Republic of China
| | - Jie Liu
- College of Environmental Science and Engineering, Guilin University of Technology, Guilin, 541004, People's Republic of China.
| | - Li-Tang Qin
- Guangxi Collaborative Innovation Center for Water Pollution Control and Water Safety in Karst Area, Guilin University of Technology, Guilin, 541004, People's Republic of China.
| | - Hong-Hu Zeng
- Guangxi Collaborative Innovation Center for Water Pollution Control and Water Safety in Karst Area, Guilin University of Technology, Guilin, 541004, People's Republic of China
| | - Yan-Peng Liang
- Guangxi Collaborative Innovation Center for Water Pollution Control and Water Safety in Karst Area, Guilin University of Technology, Guilin, 541004, People's Republic of China
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28
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Tanaka Y, Tada M. Generalized concentration addition approach for predicting mixture toxicity. Environ Toxicol Chem 2017; 36:265-275. [PMID: 27216969 DOI: 10.1002/etc.3503] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/02/2015] [Revised: 11/07/2015] [Accepted: 05/19/2016] [Indexed: 06/05/2023]
Abstract
A new mathematical model for analyzing data and predicting the effect of mixtures of toxic substances is presented as a generalized form of the concentration addition model. The proposed method, the generalized concentration addition (GCA) model, can be applied to mixtures with arbitrary strengths of interactions (synergistic or antagonistic). It requires mixture effect data for least 1 exposure concentration of the mixture in which fractions of all components and concentration-response functions for each component are known. The GCA model evaluates the interaction between components by introducing a novel response function, which is independent of the response functions for each individual components, to describe the effect of addition between different components. The GCA method was applied to published mixture toxicity data, and it was found to fit the mixture effect better than both the concentration addition model and the independent action model, the implication being that the proposed approach is widely applicable. Environ Toxicol Chem 2017;36:265-275. © 2016 SETAC.
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Affiliation(s)
- Yoshinari Tanaka
- Center for Health and Environmental Risk Research, National Institute for Environmental Studies, Tsukuba, Ibaraki, Japan
- Sophia University, Graduate School of Global Environmental Studies, Chiyoda, Tokyo, Japan
| | - Mitsuru Tada
- Sophia University, Graduate School of Global Environmental Studies, Chiyoda, Tokyo, Japan
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Bräunig J, Tang JYM, Warne MSJ, Escher BI. Bioanalytical effect-balance model to determine the bioavailability of organic contaminants in sediments affected by black and natural carbon. Chemosphere 2016; 156:181-190. [PMID: 27176940 DOI: 10.1016/j.chemosphere.2016.04.056] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/17/2016] [Revised: 04/13/2016] [Accepted: 04/15/2016] [Indexed: 06/05/2023]
Abstract
In sediments several binding phases dictate the fate and bioavailability of organic contaminants. Black carbon (BC) has a high sorptive capacity for organic contaminants and can limit their bioavailability, while the fraction bound to organic carbon (OC) is considered to be readily desorbable and bioavailable. We investigated the bioavailability and mixture toxicity of sediment-associated contaminants by combining different extraction techniques with in vitro bioanalytical tools. Sediments from a harbour with high fraction of BC, and sediments from remote, agricultural and urban areas with lower BC were treated with exhaustive solvent extraction, Tenax extraction and passive sampling to estimate total, bioaccessible and bioavailable fractions, respectively. The extracts were characterized with cell-based bioassays that measure dioxin-like activity (AhR-CAFLUX) and the adaptive stress response to oxidative stress (AREc32). Resulting bioanalytical equivalents, which are effect-scaled concentrations, were applied in an effect-balance model, consistent with a mass balance-partitioning model for single chemicals. Sediments containing BC had most of the bioactivity associated to the BC fraction, while the OC fraction played a role for sediments with lower BC. As effect-based sediment-water distribution ratios demonstrated, most of the bioactivity in the AhR-CAFLUX was attributable to hydrophobic chemicals while more hydrophilic chemicals activated AREc32, even though bioanalytical equivalents in the aqueous phase remained negligible. This approach can be used to understand the fate and effects of mixtures of diverse organic contaminants in sediments that would not be possible if single chemicals were targeted by chemical analysis; and make informed risk-based decisions concerning the management of contaminated sediments.
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Affiliation(s)
- Jennifer Bräunig
- The University of Queensland, National Research Centre for Environmental Toxicology (Entox), Brisbane, QLD, Australia.
| | - Janet Y M Tang
- The University of Queensland, National Research Centre for Environmental Toxicology (Entox), Brisbane, QLD, Australia
| | - Michael St J Warne
- The University of Queensland, National Research Centre for Environmental Toxicology (Entox), Brisbane, QLD, Australia; Queensland Government, Department of Science, Information Technology and Innovation (DSITI), Environmental Monitoring and Assessment Science, Brisbane, QLD, Australia
| | - Beate I Escher
- The University of Queensland, National Research Centre for Environmental Toxicology (Entox), Brisbane, QLD, Australia; UFZ - Helmholtz Centre for Environmental Research, Cell Toxicology, Leipzig, Germany; Eberhard Karls University Tübingen, Environmental Toxicology, Center for Applied Geosciences, Germany
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30
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Creusot N, Dévier MH, Budzinski H, Aït-Aïssa S. Evaluation of an extraction method for a mixture of endocrine disrupters in sediment using chemical and in vitro biological analyses. Environ Sci Pollut Res Int 2016; 23:10349-10360. [PMID: 26832862 DOI: 10.1007/s11356-016-6062-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/29/2015] [Accepted: 01/05/2016] [Indexed: 06/05/2023]
Abstract
Aquatic sediments are contaminated by a wide diversity of organic pollutants such as endocrine-disrupting chemicals (EDCs) which encompass a broad range of chemical classes having natural and anthropogenic origins. The use of in vitro bioassays is now widely accepted as an alternative method for their detection in complex samples. However, based on the diversity of EDC chemical properties, their common extraction is difficult and comprehensive validation of extraction methods for a bioanalysis purpose is still weakly documented. In this study, we compared the performance of several organic solvents, i.e., acetone, methanol, dichloromethane, heptane, dichloromethane/acetone (50:50, v/v), dichloromethane/methanol (50:50, v/v), heptane/acetone (50:50, v/v), and heptane/methanol (50:50, v/v), to extract a diversity of active chemicals from a spiked sediment matrix using pressurized liquid extraction. For this purpose, we defined a mixture of 12 EDCs with a wide range of polarity (2 < log Kow < 8) (i.e., estrone, 17β-estradiol, bisphenol A, o,p'DDT, 4-tert-octylphenol, fenofibrate, triphenyl phosphate, clotrimazole, PCB-126, 2,3,7,8 TCDD, benzo[k]fluoranthene, and dibenzo[a,h]anthracene). Working concentrations of each individual compound in the mixture were determined as equipotent concentrations on the basis of the concentration-addition (CA) model applied to in vitro estrogenic, dioxin-like, and pregnane X receptor (PXR)-like activities. Extraction efficiencies based on both chemical and biological analyses were assessed in triplicate in artificial blank sediment spiked with this mixture and in natural sediment contaminated by native EDCs. In both spiked and natural sediment, MeOH/DCM yields the best recovery while heptane was the least efficient solvent. Our study provided the validation of a sediment extraction methodology for EDC bioanalysis purposes, which can be used for comprehensive environmental contamination characterization.
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Affiliation(s)
- Nicolas Creusot
- INERIS, Unité Écotoxicologie in vitro et in vivo, Parc ALATA, BP2, f-60550, Verneuil-en-Halatte, France.
- Université de Bordeaux, EPOC, UMR 5805, f-33405, Talence, France.
- CNRS, EPOC, UMR 5805, f-33405, Talence, France.
| | - Marie-Hélène Dévier
- Université de Bordeaux, EPOC, UMR 5805, f-33405, Talence, France
- CNRS, EPOC, UMR 5805, f-33405, Talence, France
| | - Hélène Budzinski
- Université de Bordeaux, EPOC, UMR 5805, f-33405, Talence, France
- CNRS, EPOC, UMR 5805, f-33405, Talence, France
| | - Selim Aït-Aïssa
- INERIS, Unité Écotoxicologie in vitro et in vivo, Parc ALATA, BP2, f-60550, Verneuil-en-Halatte, France.
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Li JY, Su L, Wei F, Yang J, Jin L, Zhang X. Bioavailability-based assessment of aryl hydrocarbon receptor-mediated activity in Lake Tai Basin from Eastern China. Sci Total Environ 2016; 544:987-994. [PMID: 26706770 DOI: 10.1016/j.scitotenv.2015.12.041] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/23/2015] [Revised: 12/07/2015] [Accepted: 12/08/2015] [Indexed: 06/05/2023]
Abstract
Coupling polydimethylsiloxane (PDMS)-based equilibrium passive sampling with chemical and bioassay analysis, we assessed aryl hydrocarbon receptor (AhR)-mediated activity and contributing chemicals in sediment from Lake Tai Basin, Eastern China. The bioanalytical equivalent concentrations (BEQs) of AhR-active chemicals for the exhaustive (total burden) and PDMS extracts (bioavailable fractions) ranged from <9.5-300 ng TCDD-EQ/ kgdry weight (dw) and <0.096-2.2 ng TCDD-EQ/kgdw, respectively, which were of average levels compared to those reported elsewhere. The total concentrations of PAHs in sediment and PDMS were 17-4700 μg/kgdw and 0.61-10 μg/kgdw, respectively. The majority of the exhaustive extracts subject to acid treatment showed >70% decline in AhR-mediated activity, suggesting the minor contribution by persistent AhR ligands. Targeted analysis of polycyclic aromatic hydrocarbons (PAHs) showed, however, that these chemicals contributed <40% to the overall effect in both exhaustive and PDMS extracts, indicating the presence of other labile AhR ligands. The concentrations of PAHs and BEQs of the AhR-mediated activity attributed to these chemicals in the exhaustive extracts can be back calculated from those in the PDMS extracts via a general organic carbon-PDMS partition coefficient. Similar quantitative conversion between PDMS and aquatic organisms was also verified for aquatic organisms via the lipid-PDMS partition coefficient. Therefore, our study provided a first insight into the quantitative links between bulk chemical burdens in sediment, chemical bioavailability, bioaccumulation potential and resulting mixture effects, as an integral part of predictive environmental risk assessment of contaminated sediment.
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Affiliation(s)
- Juan-Ying Li
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China; Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources, Shanghai Ocean University, Ministry of Education, China
| | - Lei Su
- State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai 200062, China
| | - Fenghua Wei
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Jianghua Yang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Ling Jin
- Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong.
| | - Xiaowei Zhang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China.
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Wan WY, Chan JS. Bayesian analysis of robust Poisson geometric process model using heavy-tailed distributions. Comput Stat Data Anal 2011; 55:687-702. [PMID: 32287570 DOI: 10.1016/j.csda.2010.06.011] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2009] [Revised: 06/04/2010] [Accepted: 06/04/2010] [Indexed: 11/23/2022]
Abstract
We propose a robust Poisson geometric process model with heavy-tailed distributions to cope with the problem of outliers as it may lead to an overestimation of mean and variance resulting in inaccurate interpretations of the situations. Two heavy-tailed distributions namely Student’s t and exponential power distributions with different tailednesses and kurtoses are used and they are represented in scale mixture of normal and scale mixture of uniform respectively. The proposed model is capable of describing the trend and meanwhile the mixing parameters in the scale mixture representations can detect the outlying observations. Simulations and real data analysis are performed to investigate the properties of the models.
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