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Zhao Y, Wu J, Xu H, Li Q, Zhang Y, Zhai Y, Tang M, Liu Y, Liu T, Ye Y, He M, He R, Xu Y, Zhou Z, Kan H, Zhang Y. Lead exposure suppresses the Wnt3a/β-catenin signaling to increase the quiescence of hematopoietic stem cells via reducing the expression of CD70 on bone marrow-resident macrophages. Toxicol Sci 2023; 195:123-142. [PMID: 37436718 DOI: 10.1093/toxsci/kfad067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/13/2023] Open
Abstract
Lead (Pb) is a heavy metal highly toxic to human health in the environment. The aim of this study was to investigate the mechanism of Pb impact on the quiescence of hematopoietic stem cells (HSC). WT C57BL/6 (B6) mice treated with 1250 ppm Pb via drinking water for 8 weeks had increased the quiescence of HSC in the bone marrow (BM), which was caused by the suppressed activation of the Wnt3a/β-catenin signaling. Mechanically, a synergistic action of Pb and IFNγ on BM-resident macrophages (BM-Mφ) reduced their surface expression of CD70, which thereby dampened the Wnt3a/β-catenin signaling to suppress the proliferation of HSC in mice. In addition, a joint action of Pb and IFNγ also suppressed the expression of CD70 on human Mφ to impair the Wnt3a/β-catenin signaling and reduce the proliferation of human HSC purified from umbilical cord blood of healthy donors. Moreover, correlation analyses showed that the blood Pb concentration was or tended to be positively associated with the quiescence of HSC, and was or tended to be negatively associated with the activation of the Wnt3a/β-catenin signaling in HSC in human subjects occupationally exposed to Pb. Collectively, these data indicate that an occupationally relevant level of Pb exposure suppresses the Wnt3a/β-catenin signaling to increase the quiescence of HSC via reducing the expression of CD70 on BM-Mφ in both mice and humans.
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Affiliation(s)
- Yifan Zhao
- Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - Jiaojiao Wu
- Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - Hua Xu
- Shanghai Ji Ai Genetics and IVF Institute, Obstetrics and Gynecology Hospital, Fudan University, Shanghai 200011, China
| | - Qian Li
- Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - Yufan Zhang
- Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - Yue Zhai
- Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - Mengke Tang
- Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - Yalin Liu
- Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - Ting Liu
- Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - Yao Ye
- Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - Miao He
- State Key Laboratory of Medical Neurobiology, Institutes of Brain Science, Fudan University, Shanghai 200032, China
| | - Rui He
- Department of Immunology, School of Basic Medical Sciences, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Yanyi Xu
- Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - Zhou Zhou
- Center for Neurointelligence, School of Medicine, Chongqing University, Chongqing 400030, China
| | - Haidong Kan
- Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - Yubin Zhang
- Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
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Zhang L, Yu JM, Shan XY, Shao J, Ye HP. Characterization of welding fume and airborne heavy metals in electronic manufacturing workshops in Hangzhou, China: implication for occupational population exposure. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:57398-57409. [PMID: 36964473 DOI: 10.1007/s11356-023-26569-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/04/2022] [Accepted: 03/16/2023] [Indexed: 05/10/2023]
Abstract
Occupational exposure to contaminants created by electronic manufacturing process is not well characterized. The aim of this study was to carry out risk assessments of exposure to welding fume and airborne heavy metals (HMs) in electronic manufacturing workshops. Seventy-six air samples were collected from five sites in Hangzhou, China. In welding workshops, the most abundant contaminant found was welding fume, followed by Fe, Mn, Zn, Cu, Pb, Cd, and Cr. The concentration of Mn was positively correlated with Fe (r = 0.906). When compared with non-welding workshops, the Fe content in the air of welding workshops increased significantly (P < 0.05), while the Cu content decreased significantly (P < 0.05). Singapore semi-quantitative health risk assessment model and the United States Environmental Protection Agency (US EPA) inhalation risk assessment model were applied to assess the occupational exposure. In welding workshops, the levels of 8-h time weighted average (8 h-TWA) calculated for welding fume (range 0.288 ~ 6.281 mg/m3), Mn (range Nd ~ 0.829 mg/m3), and Fe (range 0.027 ~ 2.234 mg/m3) partly exceeded the permissible limits. While, in non-welding workshops, the average of 8 h-TWA for Cu (0.411 mg/m3) was higher than the limit. The risk rates (RR) assessed for Pb (2.4 vs 1.7), Mn (2.0 vs 1.4), and Fe (1.4 vs 1.0) were higher in welding workshops than that in non-welding workshops, but Cu (1.0 vs 2.2) were lower. The mean excess lifetime cancer risks (ELCR) in welding (5.59E - 06 per 1000 people) and non-welding (1.88E - 06 per 1000 people) workshops were acceptable. The mean non-cancer risk (HQ) estimated for Mn was greater than 10 in both welding (HQ = 164) and non-welding (HQ = 11.1) workshops. These results indicate that there was a risk of occupational exposure implication in the electronic manufacturing workshops. Reducing contaminant exposure through engineering controls and management strategies, such as efficient ventilation and reducing exposure hours, is thus suggested.
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Affiliation(s)
- Ling Zhang
- Department of Sanitation Test, Hangzhou Hospital for the Prevention and Treatment of Occupational Disease, Hangzhou, People's Republic of China.
| | - Jia-Mian Yu
- Department of Sanitation Test, Hangzhou Hospital for the Prevention and Treatment of Occupational Disease, Hangzhou, People's Republic of China
| | - Xiao-Yue Shan
- Department of Sanitation Test, Hangzhou Hospital for the Prevention and Treatment of Occupational Disease, Hangzhou, People's Republic of China
| | - Ji Shao
- Department of Sanitation Test, Hangzhou Hospital for the Prevention and Treatment of Occupational Disease, Hangzhou, People's Republic of China
| | - Hai-Peng Ye
- Department of Sanitation Test, Hangzhou Hospital for the Prevention and Treatment of Occupational Disease, Hangzhou, People's Republic of China
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Khalili M, Nasrabadi T. Assessment of occupational health risk due to inhalation of chemical compounds in an aircraft maintenance, repair, and overhaul company. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:57558-57570. [PMID: 36964811 DOI: 10.1007/s11356-023-26572-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Accepted: 03/16/2023] [Indexed: 05/10/2023]
Abstract
This study was conducted in an aircraft maintenance, repair, and overhaul (MRO) company in 2021 to identify the extent of occupational exposures and quantitative assessment of the health risk due to inhalation of chemical compounds. According to the inspection of different parts of this company, heavy metals including Co, Cd, Ni, Pb, Cr(VI), and Mn and organic compounds including benzene, toluene, ethylbenzene, xylene (BTEX), and methyl ethyl ketone (MEK) were selected for health risk assessment. In total, the air in the inhalation area of active workers was sampled in 51 workstations. Measurement of the above pollutants showed that the average occupational exposure to Cd, Pb, and all organic compounds fell within the acceptable range of occupational exposure standard, while the measured values for Co, Ni, Mn, and Cr(VI) exceeded the standard limit. According to calculations, the highest carcinogenic risk (CR) was seen in the plating (airplane) workshop for exposure to Cr(VI) (7.58E-01), and the lowest CR was observed in the electronic workshop for exposure to Pb (7.75E-08). The highest non-carcinogenic hazard (HQ) was found in the welding workshop for exposure to Co (1.00E + 04), while the lowest HQ was related to toluene in the fabrication workshop (9.10E-03). Considering the high rate of exposure indicators, CR and HQ exceeded the standards set by the American Environmental Protection Agency (EPA) in most workshops. Accordingly, company managers should take the necessary measures to reduce the vulnerability of individuals working in areas with unacceptable CR and HQ.
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Affiliation(s)
| | - Touraj Nasrabadi
- Graduate Faculty of Environment, University of Tehran, Tehran, Iran
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Çalış Boyacı A, Selim A. Assessment of occupational health and safety risks in a Turkish public hospital using a two-stage hesitant fuzzy linguistic approach. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:36313-36325. [PMID: 35060048 PMCID: PMC8776381 DOI: 10.1007/s11356-021-18191-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Accepted: 12/14/2021] [Indexed: 06/14/2023]
Abstract
Occupational health and safety (OHS) risk assessment studies have gained importance recently as a result of increasing occupational accidents and occupational diseases. The health sector has a greater risk than many sectors for occupational accidents and occupational diseases. Although the health sector is one of the priority sectors in Turkey, OHS practices have not been fully implemented in this field. For this reason, this study adopts a two-stage approach to assess the OHS risks in the health sector by combining the Fine-Kinney and multi-criteria hesitant fuzzy linguistic term set (HFLTS) methods. The proposed method was applied to the OHS risks in the operating room of a public hospital in Turkey. As a solution to the problem, first, the potential hazards and related risks in the operating room were determined by the experts. In this first stage, 44 hazards were determined from the opinions of experts and records of past incidents. Parameter weights were then determined using the multi-criteria HFLTS method. The multi-criteria HFLTS method was used to evaluate seven hazards to be categorized as substantial-risk or higher according to the Fine-Kinney method, taking into account parameter weights. Sensitivity analysis was then carried out. Finally, actions were taken to mitigate the risks.
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Affiliation(s)
- Aslı Çalış Boyacı
- Department of Industrial Engineering, Faculty of Engineering, Ondokuz Mayıs University, 55139, Samsun, Turkey.
| | - Aslı Selim
- Department of Intelligent Systems Engineering, Institute of Graduate Studies, Ondokuz Mayıs University, 55139, Samsun, Turkey
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Hosseini B, Hall AL, Zendehdel K, Kromhout H, Onyije FM, Moradzadeh R, Zamanian M, Schüz J, Olsson A. Occupational Exposure to Carcinogens and Occupational Epidemiological Cancer Studies in Iran: A Review. Cancers (Basel) 2021; 13:3581. [PMID: 34298794 PMCID: PMC8305339 DOI: 10.3390/cancers13143581] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 07/13/2021] [Accepted: 07/15/2021] [Indexed: 01/09/2023] Open
Abstract
INTRODUCTION The extent of exposure to occupational carcinogens is not well characterized in Iran, and little is known about the burden of occupational cancer. OBJECTIVES This study aimed to describe exposure to occupational carcinogens and occupational epidemiology studies in Iran. METHODS Relevant studies up to January 2021 in Iran were identified through three databases (PubMed, Web of Science, and Google Scholar). RESULTS Forty-nine publications from 2009 to 2020 (one cohort, 11 case-control, 34 exposure monitoring studies, and three cancer burden studies) were included. The exposure monitoring studies were conducted mainly in the petroleum industry, metal industry, manufacturing of electronics, manufacturing of plastics, construction industry, and service industry. A few of the case-control studies also reported increased risk of cancers in relation to work in those industries. CONCLUSIONS Occupational cancer epidemiology in Iran is at an early stage. Both epidemiological and exposure monitoring studies are generally limited in size to provide robust evidence of occupational cancer risks. A coherent strategy to estimate the occupational cancer burden in Iran should start with conducting epidemiological studies along with systematic monitoring of occupational carcinogens for use in hazard control and research.
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Affiliation(s)
- Bayan Hosseini
- Environment and Lifestyle Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), CEDEX 08, 69372 Lyon, France; (B.H.); (F.M.O.); (J.S.)
- Cancer Research Center, Cancer Institute of Iran, Tehran University of Medical Sciences, Tehran 1419733141, Iran;
| | - Amy L. Hall
- Government of Canada, Charlottetown, PE C1A 1N3, Canada;
| | - Kazem Zendehdel
- Cancer Research Center, Cancer Institute of Iran, Tehran University of Medical Sciences, Tehran 1419733141, Iran;
| | - Hans Kromhout
- Institute for Risk Assessment Sciences, Utrecht University, 3584 CL Utrecht, The Netherlands;
| | - Felix M. Onyije
- Environment and Lifestyle Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), CEDEX 08, 69372 Lyon, France; (B.H.); (F.M.O.); (J.S.)
| | - Rahmatollah Moradzadeh
- Department of Epidemiology, School of Public Health, Arak University of Medical Sciences, Arak 3819693345, Iran; (R.M.); (M.Z.)
| | - Maryam Zamanian
- Department of Epidemiology, School of Public Health, Arak University of Medical Sciences, Arak 3819693345, Iran; (R.M.); (M.Z.)
| | - Joachim Schüz
- Environment and Lifestyle Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), CEDEX 08, 69372 Lyon, France; (B.H.); (F.M.O.); (J.S.)
| | - Ann Olsson
- Environment and Lifestyle Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), CEDEX 08, 69372 Lyon, France; (B.H.); (F.M.O.); (J.S.)
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Rahimi Moghadam S, Mohammadyan M, Markani A, Khanjani N, Jalali M. Simulation of lead fume emissions in the workplace using computational fluid dynamics in the electronics industry. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2020; 27:34250-34257. [PMID: 32557038 DOI: 10.1007/s11356-020-09566-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/16/2020] [Accepted: 06/01/2020] [Indexed: 06/11/2023]
Abstract
Computational fluid dynamics (CFD) is a powerful method for predicting the release of pollutants in the workplace and has recently been used as a valuable tool by health authorities. The purpose of this study was to predict the distribution of lead fume in the workplace using computational fluid dynamics in the electronics manufacturing industry. A cross-sectional descriptive and analytical study was conducted in the Neyshabur electronics industry (2019). Individual exposure to lead fume was measured by the OSHA121 method. Simulation and prediction of lead fume emission in the workplace were done using computational fluid dynamics and by the ANSYS16 software. The mean of personal exposure to lead fumes was 0.04 ± 0.01 mg/m3. The software predicted the distribution of lead fumes in the respiratory zone of the worker to be in the range of 0.04 to 0.07 mg/m3, which is very close to the real values. By doubling the suction power of the topical ventilation used, workers' exposure to lead fumes was nearly halved and reached well below the recommended limit. The results showed that CFD is a useful tool for simulating individual contact with pollutants in a geometry. Also, given that the CFD shows the diffusion and distribution of pollutants in all points of a geometry, it is useful to indicate critical locations and conditions.
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Affiliation(s)
- Somayeh Rahimi Moghadam
- Occupational Health Engineering, Department of Occupational Health Engineering, Neyshabur University of Medical Sciences, Neyshabur, Iran.
| | - Mahmoud Mohammadyan
- Health Sciences Research Center, Department of Occupational Health Engineering, Faculty of Health, Mazandaran University of Medical Sciences, Sari, Iran
| | - Amin Markani
- Department of Mechanical Engineering, Islamic Azad University, Neyshabur, Iran
| | - Narges Khanjani
- Environmental Health Engineering Research Center, Kerman University of Medical Sciences, Kerman, Iran
| | - Mahdi Jalali
- Occupational Health Engineering, Department of Occupational Health Engineering, Neyshabur University of Medical Sciences, Neyshabur, Iran
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