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Yang Y, Liu Y, Wu S, Han L, Sun Y. Multi-omics analysis of the toxic effects on gill tissues of crucian carp (Carassius auratus) from chronic exposure to environmentally relevant concentrations of Di(2-ethylhexyl) phthalate (DEHP). THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 957:177599. [PMID: 39557172 DOI: 10.1016/j.scitotenv.2024.177599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/09/2024] [Revised: 10/31/2024] [Accepted: 11/14/2024] [Indexed: 11/20/2024]
Abstract
The pervasive use of the plasticizer di(2-ethylhexyl) phthalate (DEHP) poses potential risks to global aquatic ecosystems. This study systematically evaluated the adverse effects of chronic exposure to environmentally relevant concentrations of DEHP on gill tissues of crucian carp, utilizing histological examination, metabolomic, and transcriptomic analysis. The results demonstrated that DEHP induced significant histopathological alterations in gill tissues, with significant enrichment observed in multiple pathways associated with amino acid, hormone, lipid, and xenobiotic metabolism. Metabonomics-transcriptomics analyses indicated that DEHP-induced significantly over-activation of cytochrome P450 1B1-like (p < 0.001) and cytochrome P450 3A30-like (p < 0.05) via the nuclear xenobiotic receptors pathway was a key factor contributing to the disruption of tryptophan metabolism and steroid hormone biosynthesis, as well as inducing circadian rhythm disruption. Moreover, circadian rhythm disruption further exacerbated the imbalance of cytochrome P450 (CYP450) enzyme system as well as linoleic acid, arachidonic acid, sphingolipid, and glycerophospholipid metabolism. Overall, the feedback regulation between the CYP450 enzyme system and circadian rhythms emerged as the primary mechanism underlying DEHP-induced metabolic and transcriptional disruptions, ultimately resulting in gill toxicity. This study not only enriched the toxic effects on aquatic organisms of chronic exposure to DEHP, but provided potential biomarkers for the environmental risk assessment of DEHP.
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Affiliation(s)
- Yang Yang
- Heilongjiang River Fisheries Research Institute of Chinese Academy of Fishery Sciences, Laboratory of Quality & Safety Risk Assessment for Aquatic Products (Harbin), Ministry of Agriculture and Rural Areas, Harbin 150070, China
| | - Yingjie Liu
- Department of Pharmacology, School of medicine, Southern University of Science and Technology, Shenzhen 518055, China
| | - Song Wu
- Heilongjiang River Fisheries Research Institute of Chinese Academy of Fishery Sciences, Laboratory of Quality & Safety Risk Assessment for Aquatic Products (Harbin), Ministry of Agriculture and Rural Areas, Harbin 150070, China
| | - Lin Han
- Heilongjiang River Fisheries Research Institute of Chinese Academy of Fishery Sciences, Laboratory of Quality & Safety Risk Assessment for Aquatic Products (Harbin), Ministry of Agriculture and Rural Areas, Harbin 150070, China; College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China
| | - Yanchun Sun
- Heilongjiang River Fisheries Research Institute of Chinese Academy of Fishery Sciences, Laboratory of Quality & Safety Risk Assessment for Aquatic Products (Harbin), Ministry of Agriculture and Rural Areas, Harbin 150070, China.
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Liang X, Qian G, Wang Y, Chen M, Liu Y, Zhao P, Li J, Wang Y, Liu Y. Annual and Seasonal Variability of Trichloromethane in Drinking Water of Kunshan City 2016-2022 and Associated Health Risks. TOXICS 2024; 12:865. [PMID: 39771080 PMCID: PMC11678938 DOI: 10.3390/toxics12120865] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/24/2024] [Revised: 11/20/2024] [Accepted: 11/26/2024] [Indexed: 01/11/2025]
Abstract
This study aimed to evaluate the annual pollution characteristics of trichloromethane (TCM) in Kunshan City's tap water from 2016 to 2022. This research analyzed 566 tap water samples from centralized water supply units, utilizing the GB 5749-2006 Sanitary Standard for Drinking Water as the evaluation benchmark. Data analysis employed non-parametric tests and Spearman's correlation analysis using Excel 2017 and SPSS 26.0. The results indicated a 100% compliance rate with the TCM limit (0.06 mg/L), with median annual concentrations ranging from 0.1 to 6.4 μg/L. Significant inter-annual variations were observed (H = 222.5, p < 0.01), with the lowest levels in 2019 and the highest in 2020. Quarterly analysis revealed significant seasonal differences (H = 94.0, p < 0.01), peaking in the third quarter (8.0 μg/L) and bottoming in the first quarter (3.5 μg/L). TCM concentrations showed significant correlations with annual and quarterly trends, turbidity, and chlorides (|rs| > 0.3, p < 0.01) but not with pH (rs = -0.0025, p = 0.55). While Kunshan City's drinking water demonstrates satisfactory TCM levels, an increasing annual trend and higher concentrations in the latter half of the year warrant continued monitoring and investigation. In this study, we assessed the health risks for households in Kunshan, China, due to trichloromethane (TCM) in drinking water. The overall carcinogenic risk from multiple exposure pathways was slightly above the ideal level, while the non-carcinogenic risk was within an acceptable range.
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Affiliation(s)
- Xiaojun Liang
- Center for Disease Control and Prevention of Kunshan, Kunshan 215300, China; (X.L.); (G.Q.); (M.C.); (Y.L.); (P.Z.)
| | - Guohua Qian
- Center for Disease Control and Prevention of Kunshan, Kunshan 215300, China; (X.L.); (G.Q.); (M.C.); (Y.L.); (P.Z.)
| | - Yihan Wang
- School of Public Health, Suzhou Medical College, Soochow University, Suzhou 215127, China; (Y.W.); (J.L.)
| | - Mengyao Chen
- Center for Disease Control and Prevention of Kunshan, Kunshan 215300, China; (X.L.); (G.Q.); (M.C.); (Y.L.); (P.Z.)
| | - Yang Liu
- Center for Disease Control and Prevention of Kunshan, Kunshan 215300, China; (X.L.); (G.Q.); (M.C.); (Y.L.); (P.Z.)
| | - Ping Zhao
- Center for Disease Control and Prevention of Kunshan, Kunshan 215300, China; (X.L.); (G.Q.); (M.C.); (Y.L.); (P.Z.)
| | - Junling Li
- School of Public Health, Suzhou Medical College, Soochow University, Suzhou 215127, China; (Y.W.); (J.L.)
| | - Yuan Wang
- Center for Disease Control and Prevention of Kunshan, Kunshan 215300, China; (X.L.); (G.Q.); (M.C.); (Y.L.); (P.Z.)
| | - Yuyan Liu
- Center for Disease Control and Prevention of Kunshan, Kunshan 215300, China; (X.L.); (G.Q.); (M.C.); (Y.L.); (P.Z.)
- School of Public Health, Suzhou Medical College, Soochow University, Suzhou 215127, China; (Y.W.); (J.L.)
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Feng X, Zhang R, Miao X, Li X, Cui J, Xu H, Fang X, Zhou C, Ye L, Zhou L. Role of formyl peptide receptor 2 in steatosis of L02 cells exposed to Mono-(2-ethylhexyl) phthalate. ENVIRONMENTAL TOXICOLOGY 2024; 39:3967-3979. [PMID: 38598732 DOI: 10.1002/tox.24256] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 02/01/2024] [Accepted: 03/14/2024] [Indexed: 04/12/2024]
Abstract
Mono-(2-ethylhexyl) phthalate (MEHP) can accumulate in the liver and then lead to hepatic steatosis, while the underlying mechanism remains unclear. Inflammation plays an important role in the disorder of hepatic lipid metabolism. This study aims to clarify the role of the inflammatory response mediated by formyl peptide receptor 2 (FPR2) in steatosis of L02 cells exposed to MEHP. L02 cells were exposed to MEHP of different concentrations and different time. A steatosis model of L02 cells was induced with oleic acid and the cells were exposed to MEHP simultaneously. In addition, L02 cells were incubated with FPR2 antagonist and then exposed to MEHP. Lipid accumulation was determined by oil red O staining and extraction assay. The indicators related to lipid metabolism and inflammatory response were measured with appropriate kits. The relative expression levels of FPR2 and its ligand were determined by Western blot, and the interaction of them was detected by co-immunoprecipitation. As a result, MEHP exposure could promote the occurrence and progression of steatosis and the secretion of chemokines and inflammatory factors in L02 cells. MEHP could also affect the expression and activation of FPR2 and the secretion of FPR2 ligands. In addition, the promotion effect of MEHP on the secretion of total cholesterol and interleukin 1β in L02 cells could be significantly inhibited by the FPR2 antagonist. We concluded that FPR2 might affect the promotion effect of MEHP on steatosis of L02 cells by mediating inflammatory response.
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Affiliation(s)
- Xuemin Feng
- Department of Neurology, the First Hospital of Jilin University, Changchun, China
| | - Ruxuan Zhang
- Department of Occupational and Environmental Health, School of Public Health, Jilin University, Changchun, China
| | - Xiaohan Miao
- Department of Occupational and Environmental Health, School of Public Health, Jilin University, Changchun, China
| | - Xu Li
- Department of Occupational and Environmental Health, School of Public Health, Jilin University, Changchun, China
| | - Jianwei Cui
- Department of Occupational and Environmental Health, School of Public Health, Jilin University, Changchun, China
| | - Hang Xu
- Department of Occupational and Environmental Health, School of Public Health, Jilin University, Changchun, China
| | - Xiaoqi Fang
- Department of Occupational and Environmental Health, School of Public Health, Jilin University, Changchun, China
| | - Chunkui Zhou
- Department of Neurology, the First Hospital of Jilin University, Changchun, China
| | - Lin Ye
- Department of Occupational and Environmental Health, School of Public Health, Jilin University, Changchun, China
| | - Liting Zhou
- Department of Occupational and Environmental Health, School of Public Health, Jilin University, Changchun, China
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Zhang S, Chou L, Zhu W, Luo W, Zhang C, Qiu J, Li M, Tan H, Guo J, Wang C, Tu K, Xu K, Yu H, Zhang X, Shi W, Zhou Q. Identify organic contaminants of high-concern based on non-targeted toxicity testing and non-targeted LC-HRMS analysis in tap water and source water along the Yangtze River. WATER RESEARCH 2024; 253:121303. [PMID: 38382288 DOI: 10.1016/j.watres.2024.121303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/28/2023] [Revised: 02/07/2024] [Accepted: 02/10/2024] [Indexed: 02/23/2024]
Abstract
Many organic pollutants were detected in tap water (TW) and source water (SW) along the Yangtze River. However, the potential toxic effects and the high-concern organics (HCOs) which drive the effect are still unknown. Here, a non-targeted toxicity testing method based on the concentration-dependent transcriptome and non-targeted LC-HRMS analysis combining tiered filtering were used to reveal the overall biological effects and chemical information. Subsequently, we developed a qualitative pathway-structure relationship (QPSR) model to effectively match the biological and chemical information and successfully identified HCOs in TW and SW along the Yangtze River by potential substructures of HCOs. Non-targeted toxicity testing found that the biological potency of both TW and SW was stronger in the downstream of the Yangtze River, and disruption of the endocrine system and cancer were the main drivers of the effect. In addition, non-targeted LC-HRMS analysis combined with retention time prediction results identified 3220 and 631 high-confidence compound structures in positive and negative ion modes, respectively. Then, QPSR model was further implied and identified a total of 103 HCOs, containing 35 industrial chemicals, 30 PPCPs, 26 pesticides, and 12 hormones in TW and SW, respectively. Among them, the neuroactive and hormonal compounds oxoamide, 8-iso-16-cyclohexyl-tetranor prostaglandin E2, E Keppra, and Tocris-0788 showed the highest frequency of detection, which were identified in more than 1/3 of the samples. The strategy of combining non-targeted toxicity testing and non-targeted LC-HRMS analysis will support comprehensive biological effect assessment, identification of HCOs, and risk control of mixtures.
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Affiliation(s)
- Shaoqing Zhang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Liben Chou
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Wenxuan Zhu
- Department of Mathematics, Statistics, and Computer Science, Macalester College, Saint Paul, MN 55105, USA
| | - Wenrui Luo
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Chi Zhang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Jingfan Qiu
- Key Laboratory of Pathogen Biology of Jiangsu Province, Department of Pathogen Biology, Nanjing Medical University, Nanjing 211166, China
| | - Meishuang Li
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Haoyue Tan
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Jing Guo
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Chang Wang
- Hubei Key Laboratory of Environmental and Health Effects of Persistent Toxic Substances, Institute of Environment and Health, Jianghan University, Wuhan 430056, China
| | - Keng Tu
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Kefan Xu
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Hongxia Yu
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Xiaowei Zhang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Wei Shi
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China; Jiangsu Province Ecology and Environment Protection Key Laboratory of Chemical Safety and Health Risk, Nanjing 210023, China.
| | - Qing Zhou
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China.
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Shende N, Singh I, Hippargi G, Ramesh Kumar A. Occurrence and Health Risk Assessment of Phthalates in Municipal Drinking Water Supply of a Central Indian City. ARCHIVES OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY 2024; 86:288-303. [PMID: 38568248 DOI: 10.1007/s00244-024-01061-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Accepted: 03/12/2024] [Indexed: 04/21/2024]
Abstract
In this study, the occurrence of phthalates in the municipal water supply of Nagpur City, India, was studied for the first time. The study aimed to provide insights into the extent of phthalate contamination and identify potential sources of contamination in the city's tap water. We analyzed fifteen phthalates and the total concentration (∑15phthalates) ranged from 0.27 to 76.36 µg L-1. Prominent phthalates identified were di-n-butyl phthalate (DBP), di-isobutyl phthalate (DIBP), benzyl butyl phthalate (BBP), di (2-ethylhexyl) phthalate (DEHP), di-n-octyl phthalate (DNOP), and di-nonyl phthalate (DNP). Out of the fifteen phthalates analyzed, DEHP showed the highest concentration in all the samples with the median concentration of 2.27 µg L-1, 1.39 µg L-1, 1.83 µg L-1, 2.02 µg L-1, respectively in Butibori, Gandhibaag, Civil Lines, and Kalmeshwar areas of the city. In 30% of the tap water samples, DEHP was found higher than the EPA maximum contaminant level of 6 µg L-1. The average daily intake (ADI) of phthalates via consumption of tap water was higher for adults (median: 0.25 µg kg-1 day-1) compared to children (median: 0.07 µg kg-1 day-1). The hazard index (HI) calculated for both adults and children was below the threshold level, indicating no significant health risks from chronic toxic risk. However, the maximum carcinogenic risk (CR) for adults (8.44 × 10-3) and children (7.73 × 10-3) was higher than the threshold level. Knowledge of the sources and distribution of phthalate contamination in municipal drinking water is crucial for effective contamination control and management strategies.
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Affiliation(s)
- Nandini Shende
- Chemical and Hazardous Waste Management Division, CSIR-National Environmental Engineering Research Institute, Nagpur, 440020, India
- Environmental Materials Division, CSIR-National Environmental Engineering Research Institute, Nagpur, 440020, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201 002, India
| | - Ishan Singh
- Chemical and Hazardous Waste Management Division, CSIR-National Environmental Engineering Research Institute, Nagpur, 440020, India
- Stockholm Convention Regional Centre (SCRC India), CSIR-National Environmental Engineering Research Institute, Nagpur, 440020, India
| | - Girivvankatesh Hippargi
- Environmental Materials Division, CSIR-National Environmental Engineering Research Institute, Nagpur, 440020, India.
| | - Asirvatham Ramesh Kumar
- Chemical and Hazardous Waste Management Division, CSIR-National Environmental Engineering Research Institute, Nagpur, 440020, India.
- Stockholm Convention Regional Centre (SCRC India), CSIR-National Environmental Engineering Research Institute, Nagpur, 440020, India.
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201 002, India.
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Chen M, Niu Z, Zhang X, Zhang Y. Pollution characteristics and health risk of sixty-five organics in one drinking water system: PAEs should be prioritized for control. CHEMOSPHERE 2024; 350:141171. [PMID: 38211786 DOI: 10.1016/j.chemosphere.2024.141171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 01/05/2024] [Accepted: 01/08/2024] [Indexed: 01/13/2024]
Abstract
Currently, a large number of emerging organic contaminants have been detected in domestic and international drinking water systems. However, there are differences among the research methods, which lead to system errors in directly comparing the hazards of different contaminants, so it is difficult to analyze the priority control pollutants and the risk control target in drinking water from previous studies. Therefore, we selected a drinking water treatment plant (DWTP) in the east of China, and detected trihalomethanes (THMs), antibiotics, phthalate esters (PAEs), organophosphate esters (OPEs), per and polyfluoroalkyl substances (PFASs), a total of sixty-five organic contaminants in one batch water sample of four seasons, and carried out the whole process monitoring of "Source water-DWTP-Network-Users", and calculated the health risks of contaminants in tap water. The results showed that DWTP could effectively remove antibiotics and PAEs; the removal rate of coagulation for antibiotics can be up to 47%; the release of PAEs in the plastic water supply pipe leads to a significant increase of the concentrations in the water transportation system, which can reach 2.92 times of that in finished water; compared with other contaminants, THMs and PAEs in tap water have higher health risks. This study reveals that THMs and PAEs are priority control organic pollutants, and the water supply network is the key risk control target in the drinking water system, providing a theoretical basis for how to ensure the safety of drinking water.
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Affiliation(s)
- Mingyu Chen
- School of Environmental Science and Engineering, Tianjin University, Tianjin, 300350, China
| | - Zhiguang Niu
- School of Environmental Science and Engineering, Tianjin University, Tianjin, 300350, China; The International Joint Institute of Tianjin University, Fuzhou, 350207, China
| | - Xiaohan Zhang
- School of Environmental Science and Engineering, Tianjin University, Tianjin, 300350, China
| | - Ying Zhang
- School of Environmental Science and Engineering, Tianjin University, Tianjin, 300350, China.
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