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Soleimani Z, Azimi P, Haghshenas R, Farzi Y, Taherkhani A, Naddafi K, Yunesian M, Naserinjad M, Behnoush AH, Parizad M, Keyvani M, Hajebi A, Gorgani F, Mirzaei S, Handy RD, Mesdaghinia A, Farzadfar F. Exposure assessment of metal(loids) in indoor air and biomonitoring in six urban residential areas in Iran. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 946:174169. [PMID: 38917899 DOI: 10.1016/j.scitotenv.2024.174169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Revised: 05/21/2024] [Accepted: 06/19/2024] [Indexed: 06/27/2024]
Abstract
Exposure to metal(loid)s can cause adverse health effects. This study evaluated the concentrations of aluminum, arsenic, cadmium, chromium, mercury, nickel, and lead in particulate matter <10 μm (PM10) and in the urine of 100 participants from urban residential areas in Iran. A total of 100 residential buildings (one adult from each household) in six cities across Iran were recruited for this study. The levels of metal(loid)s in PM10 and the urine of participants were measured using acid digestion followed by inductively coupled plasma mass spectrometry (ICP-MS). The average (±SE) PM10 concentration in the buildings was 51.7 ± 3.46 μg/m3. Aluminum and cadmium had the highest and lowest concentrations among the metal(loid)s, averaging 3.74 ± 1.26 μg/m3 and 0.01 ± 0.001 μg/m3, respectively. In 85 % of the samples, the concentration of metal(loid)s in indoor air exceeded WHO air quality standards. Cadmium and lead had the highest and lowest numbers of indoor air samples exceeding the recommended standards, respectively. A significant correlation was found between the concentration of metal(loid)s in urine samples and indoor PM10 levels, as well as the wealth index of participants. There was also a significant direct relationship between the concentrations of nickel, arsenic, lead, and mercury in urine and the age of participants. Factors such as building location, type of cooling systems, use of printers at home, and natural ventilation influenced the concentration and types of metal(loid)s in the indoor air.
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Affiliation(s)
- Zahra Soleimani
- Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran; Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Parham Azimi
- Department of Environmental Health, T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Rosa Haghshenas
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Yosef Farzi
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Ali Taherkhani
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences. Tehran, Iran
| | - Kazem Naddafi
- Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran; Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences. Tehran, Iran
| | - Masud Yunesian
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences. Tehran, Iran; Center for Water Quality Research, Institute for Environmental Research, Tehran University of Medical Sciences, Tehran, Iran
| | - Maryam Naserinjad
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Amir Hossein Behnoush
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Marzeih Parizad
- Health and work environment group, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Maryam Keyvani
- Environmental Health Group, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Amirali Hajebi
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Fatemeh Gorgani
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Saham Mirzaei
- Institute of methodologies for Environmental Analysis, Italian National Research Council Potenza, Italy
| | - Richard D Handy
- School of Biological and Marine Sciences, Faculty of Science and Engineering, University of Plymouth, Drake Circus, Plymouth PL4 8AA, United Kingdom
| | - Alireza Mesdaghinia
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences. Tehran, Iran; Center for Water Quality Research, Institute for Environmental Research, Tehran University of Medical Sciences, Tehran, Iran.
| | - Farshad Farzadfar
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran; Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
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Zhang H, Yan J, Nie G, Xie D, Zhu X, Niu J, Li X. Association and mediation analyses among multiple metal exposure, mineralocorticoid levels, and serum ion balance in residents of northwest China. Sci Rep 2024; 14:8023. [PMID: 38580805 PMCID: PMC10997635 DOI: 10.1038/s41598-024-58607-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Accepted: 04/01/2024] [Indexed: 04/07/2024] Open
Abstract
Toxic metals are vital risk factors affecting serum ion balance; however, the effect of their co-exposure on serum ions and the underlying mechanism remain unclear. We assessed the correlations of single metal and mixed metals with serum ion levels, and the mediating effects of mineralocorticoids by investigating toxic metal concentrations in the blood, as well as the levels of representative mineralocorticoids, such as deoxycorticosterone (DOC), and serum ions in 471 participants from the Dongdagou-Xinglong cohort. In the single-exposure model, sodium and chloride levels were positively correlated with arsenic, selenium, cadmium, and lead levels and negatively correlated with zinc levels, whereas potassium and iron levels and the anion gap were positively correlated with zinc levels and negatively correlated with selenium, cadmium and lead levels (all P < 0.05). Similar results were obtained in the mixed exposure models considering all metals, and the major contributions of cadmium, lead, arsenic, and selenium were highlighted. Significant dose-response relationships were detected between levels of serum DOC and toxic metals and serum ions. Mediation analysis showed that serum DOC partially mediated the relationship of metals (especially mixed metals) with serum iron and anion gap by 8.3% and 8.6%, respectively. These findings suggest that single and mixed metal exposure interferes with the homeostasis of serum mineralocorticoids, which is also related to altered serum ion levels. Furthermore, serum DOC may remarkably affect toxic metal-related serum ion disturbances, providing clues for further study of health risks associated with these toxic metals.
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Affiliation(s)
- Honglong Zhang
- The First School of Clinical Medical, Lanzhou University, Lanzhou, 730000, Gansu, People's Republic of China
| | - Jun Yan
- The First School of Clinical Medical, Lanzhou University, Lanzhou, 730000, Gansu, People's Republic of China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, 730000, Gansu, People's Republic of China
- Key Laboratory of Biotherapy and Regenerative Medicine of Gansu Province, Lanzhou, 730000, Gansu, People's Republic of China
| | - Guole Nie
- The First School of Clinical Medical, Lanzhou University, Lanzhou, 730000, Gansu, People's Republic of China
| | - Danna Xie
- The First School of Clinical Medical, Lanzhou University, Lanzhou, 730000, Gansu, People's Republic of China
| | - Xingwang Zhu
- The First School of Clinical Medical, Lanzhou University, Lanzhou, 730000, Gansu, People's Republic of China
| | - Jingping Niu
- School of Public Health, Institute of Occupational and Environmental Health, Lanzhou University, Lanzhou, 730000, Gansu, People's Republic of China
| | - Xun Li
- The First School of Clinical Medical, Lanzhou University, Lanzhou, 730000, Gansu, People's Republic of China.
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, 730000, Gansu, People's Republic of China.
- Key Laboratory of Biotherapy and Regenerative Medicine of Gansu Province, Lanzhou, 730000, Gansu, People's Republic of China.
- Department of General Surgery, The First Hospital of Lanzhou University, No.1 Donggang West Road, Chengguan District, Lanzhou, 730030, Gansu, China.
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Wang Y, Liu Q, Tian Z, Cheng B, Guo X, Wang H, Zhang B, Xu Y, Sun L, Hu B, Chen G, Sheng J, Liang C, Tao F, Wei J, Yang L. Short-term effects of ambient PM 1, PM 2.5, and PM 10 on internal metal/metalloid profiles in older adults: A distributed lag analysis in China. ENVIRONMENT INTERNATIONAL 2023; 182:108341. [PMID: 38006770 DOI: 10.1016/j.envint.2023.108341] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Revised: 10/24/2023] [Accepted: 11/20/2023] [Indexed: 11/27/2023]
Abstract
There is limited evidence linking exposure to ambient particulate matter (PM) with internal doses of metals and metalloids (metal(loid)s). This study aimed to evaluate the effects of short-term exposure to ambient PM on urine metal(loid)s among Chinese older adults. Biological monitoring data of 15 urine metal(loid)s collected in 3, 970 community-dwelling older adults in Fuyang city, Anhui Province, China, from July to September 2018, were utilized. PMs with an aerodynamic diameter ≤ 1 µm (PM1), ≤ 2.5 µm (PM2.5), and ≤ 10 µm (PM10) up to eight days before urine collection were estimated by space-time extremely randomized trees (STET) model. Residential greenness was reflected by Normalized Difference Vegetation Index (NDVI). We used generalized additive model (GAM) combined with distributed lag linear/non-linear models (DLMs/DLNMs) to estimate the associations between short-term PM exposure and urine metal(loid)s. The results suggested that the cumulative exposures to PM1, PM2.5, or PM10 over two days (lag0-1 days) before urine collection were associated with elevated urine metal(loid)s in DLMs, while exhibited linear or "inverted U-shaped" relationships with seven urine metal(loid)s in DLNMs, including Gallium (Ga), Arsenic (As), Aluminum (Al), Magnesium (Mg), Calcium (Ca), Uranium (U), and Barium (Ba). Aforementioned results indicated robust rather than spurious associations between PMs and these seven metal(loid)s. After standardizations for three PMs, PM1 was the greatest contributor to U, PM2.5 made the greatest contributions to Ga, As, Al, and Ba, and PM10 contributed the most to Mg and Ca. Furthermore, the effects of three PMs on urine Ga, As, Al, Mg, Ca, and Ba were reduced when exposed to higher levels of NDVI. Overall, short-term exposures to ambient PMs contribute to elevated urinary metal(loid) levels in older adults, and three PMs exhibit various contributions to different urine metal(loid)s. Moreover, residential greenness may attenuate the effects of PMs on urine metal(loid)s.
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Affiliation(s)
- Yuan Wang
- School of Public Health, Department of Epidemiology and Health Statistics, Anhui Medical University, Hefei 230032, Anhui, China; Scientific Research Center in Preventive Medicine, School of Public Health, Anhui Medical University, Hefei 230032, Anhui, China
| | - Qiang Liu
- School of Public Health, Department of Epidemiology and Health Statistics, Anhui Medical University, Hefei 230032, Anhui, China; Scientific Research Center in Preventive Medicine, School of Public Health, Anhui Medical University, Hefei 230032, Anhui, China
| | - Ziwei Tian
- School of Public Health, Department of Epidemiology and Health Statistics, Anhui Medical University, Hefei 230032, Anhui, China; Scientific Research Center in Preventive Medicine, School of Public Health, Anhui Medical University, Hefei 230032, Anhui, China
| | - Beijing Cheng
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing 210009, Jiangsu, China
| | - Xianwei Guo
- School of Public Health, Department of Epidemiology and Health Statistics, Anhui Medical University, Hefei 230032, Anhui, China
| | - Hongli Wang
- School of Public Health, Department of Epidemiology and Health Statistics, Anhui Medical University, Hefei 230032, Anhui, China
| | - Bo Zhang
- School of Public Health, Department of Epidemiology and Health Statistics, Anhui Medical University, Hefei 230032, Anhui, China
| | - Yan Xu
- School of Public Health, Department of Epidemiology and Health Statistics, Anhui Medical University, Hefei 230032, Anhui, China
| | - Liang Sun
- Fuyang Center for Diseases Prevention and Control, Fuyang, Anhui 236069, China
| | - Bing Hu
- Fuyang Center for Diseases Prevention and Control, Fuyang, Anhui 236069, China
| | - Guimei Chen
- School of Health Services Management, Anhui Medical University, Hefei, Anhui 230032, China
| | - Jie Sheng
- Scientific Research Center in Preventive Medicine, School of Public Health, Anhui Medical University, Hefei 230032, Anhui, China
| | - Chunmei Liang
- School of Public Health, Department of Hygiene Inspection and Quarantine, Anhui Medical University, Hefei, Anhui 230032, China
| | - Fangbiao Tao
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Hefei 230032, Anhui, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20740, USA.
| | - Linsheng Yang
- School of Public Health, Department of Epidemiology and Health Statistics, Anhui Medical University, Hefei 230032, Anhui, China; Scientific Research Center in Preventive Medicine, School of Public Health, Anhui Medical University, Hefei 230032, Anhui, China.
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Kwag Y, Ye S, Oh J, Lee DW, Yang W, Kim Y, Ha E. Direct and Indirect Effects of Indoor Particulate Matter on Blood Indicators Related to Anemia. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph182412890. [PMID: 34948498 PMCID: PMC8701383 DOI: 10.3390/ijerph182412890] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 11/30/2021] [Accepted: 11/30/2021] [Indexed: 11/16/2022]
Abstract
Exposure to indoor particulate matter (PM) is a potential risk factor that increases systemic inflammation and affects erythropoiesis. This study investigated the association between exposure to indoor PM and blood indicators related to anemia (BIRA) in housewives. Indoor PM and blood folate status are important factors in the risk of anemia. This was a housewife cohort study; we recruited 284 housewives in Seoul and Ulsan, Republic of Korea. Indoor exposure to PM2.5 and PM10 was measured by gravimetric analysis and sensors. We investigated the BIRA, such as hemoglobin (Hb), hematocrit, mean corpuscular volume (MCV), mean corpuscular Hb (MCH), and mean corpuscular Hb concentration (MCHC). Statistical analysis was performed by multiple linear regression model and mediation analysis. The association between BIRA and PM was assessed by multiple linear regression models fitted by mediation analyses. The increase in the level of indoor PM2.5 was associated with a decrease in MCV (Beta coefficient (B): −0.069, Standard error (SE): 0.022) and MCH (B: −0.019, SE: 0.009) in gravimetric measurements. The increase in the level of indoor PM2.5 was associated with a decrease in Hb (B: −0.024, SE: 0.011), hematocrit (B: −0.059, SE: 0.033), and MCV (B: −0.081, SE: 0.037) and MCH (B: −0.037, SE: 0.012) in sensor measurements (PM2.5-Lag10). Further, we identified a serum folate-mediated PM effect. The indoor PM exposure was significantly associated with decreased Hb, MCV, and MCH in housewives. Taken together, our data show that exposure to indoor PM is a risk factor for anemia in housewives. Blood folate concentration can be a mediating factor in the effect of indoor PM on BIRA. Therefore, folate intake should be recommended to prevent anemia in housewives. Moreover, indoor PM exposure should be managed.
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Affiliation(s)
- Youngrin Kwag
- Department of Environmental Medicine, School of Medicine, Ewha Womans University, Seoul KS013, Korea; (Y.K.); (J.O.)
- Graduate Program in System Health Science and Engineering, Ewha Womans University, Seoul KS013, Korea
| | - Shinhee Ye
- Occupational Safety and Health Research Institute, Korea Occupational Safety and Health Agency, Incheon KS006, Korea;
| | - Jongmin Oh
- Department of Environmental Medicine, School of Medicine, Ewha Womans University, Seoul KS013, Korea; (Y.K.); (J.O.)
| | - Dong-Wook Lee
- Department of Preventive Medicine, College of Medicine, Seoul National University, Seoul KS013, Korea;
| | - Wonho Yang
- Department of Occupational Health, Daegu Catholic University, Gyeongsan-si KS002, Korea;
| | - Yangho Kim
- Department of Occupational and Environmental Medicine, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan KS016, Korea
- Correspondence: (Y.K.); (E.H.)
| | - Eunhee Ha
- Department of Environmental Medicine, School of Medicine, Ewha Womans University, Seoul KS013, Korea; (Y.K.); (J.O.)
- Correspondence: (Y.K.); (E.H.)
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