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Zhu Y, Ju Y, Wang M, Wu R. Depressive symptoms mediate the relationship between blood volatile organic compounds exposure and short sleep duration among US adults. J Environ Sci (China) 2025; 155:786-794. [PMID: 40246508 DOI: 10.1016/j.jes.2024.09.009] [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] [Received: 03/24/2024] [Revised: 09/04/2024] [Accepted: 09/10/2024] [Indexed: 04/19/2025]
Abstract
The associations of volatile organic compounds (VOCs) exposure with short sleep duration (SSD) have rarely been studied. We aimed to evaluate the correlation between VOC exposure and SSD risk, while also exploring the potential mediating influence of depressive symptoms. Blood concentrations of seven VOCs, namely benzene, toluene, ethylbenzene, m-/p-xylene, o-xylene, styrene (collectively known as BTEXS), and 1,4-dichlorobenzene, were analyzed in 2905 U.S. adults. Weighted logistic regression, quantile-based g-computation (QGC), and weighted quantile sum (WQS) regression were employed to investigate associations between selected VOCs and SSD risk. Mediation analyses were conducted to explore the potential mediating effects of depressive symptoms on these relationships. Increased blood levels of BTEXS were positively correlated with SSD risk, with odds ratios (OR) ranging from 1.130 to 1.212 (all P < 0.05). A nonlinear association between toluene concentration and SSD risk was observed (P for nonlinearity = 0.028). Both QGC and WQS analyses indicated a positive association between co-exposure to VOCs and SSD, with styrene showing the highest positive weights (QGC: OR = 1.313, 95 % confidence interval (CI): 1.038-1.660; WQS: OR = 1.386, 95 % CI: 1.111-1.731). Furthermore, BTEXS exposure was positively linked to depressive symptoms, which in turn were significantly associated with SSD risk. Mediation analyses revealed that depressive symptoms partially mediated the relationships between individual and mixed VOCs and SSD risk, with mediation proportions ranging from 15.87 % to 20.54 % (all P < 0.05). These findings indicated that exposure to VOCs increased SSD risk, with depressive symptoms playing a partial mediating role.
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Affiliation(s)
- Yue Zhu
- Hefei Ion Medical Center, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230088, China
| | - Yinghui Ju
- Hefei Ion Medical Center, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230088, China
| | - Menglin Wang
- Hefei Ion Medical Center, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230088, China
| | - Rui Wu
- Hefei Ion Medical Center, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230088, China.
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He R, Zhong H, He C, Li H, Wang Z, Zheng J, Li G, An T. Individual and mixture effects of BTEX occupational exposure with hematologic and hepatic profiles in petrochemical workers and the metabolic mechanism. J Environ Sci (China) 2025; 154:163-173. [PMID: 40049865 DOI: 10.1016/j.jes.2024.06.021] [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] [Received: 04/14/2024] [Revised: 06/07/2024] [Accepted: 06/15/2024] [Indexed: 05/13/2025]
Abstract
Evidence on the association of occupational exposure to benzene, toluene, ethylbenzene, and xylene (BTEX) with hematologic and hepatic profiles were equivocal, and few studies have investigated overall effect of BTEX mixtures. Herein, significant higher concentrations (p < 0.05) of hippuric acid, 1,2-dihydroxybenzene, mandelic acid, trans, trans-muconic acid and phenylglyoxylic acid were found in petrochemical workers than the controls, in accordance with higher levels of hematologic and hepatic profiles found in petrochemical workers (p < 0.05). Occupational exposure to individual BTEX was associated with elevated levels of white blood cell (WBC), lymphocyte (LYMPH), alanine aminotransferase (ALT), and gamma-glutamyl transferase (GGT). Further, the Weighted Quantile Sum Regression model and Bayesian Kernel Machine Regression model consistently identified a positive association between BTEX mixture exposure and WBC, LYMPH, and GGT. Xylene was the primary contributor to increased WBC, LYMPH, and GGT levels. Furthermore, BTEX exposure resulting in the increased inflammation indices were mainly related to perturbations of sphingolipid metabolism, biosynthesis of unsaturated fatty acids, and primary bile acid biosynthesis. Whereas metabolites mediated the correlation between BTEX exposure and liver function indices were related to the perturbations of biosynthesis of unsaturated fatty acids, arachidonic acid metabolism, sphingolipid metabolism, primary bile acid biosynthesis, etc. Our findings revealed potential health risk of occupational exposure to BTEX and might help one to understand the link between BTEX exposure and hematologic and hepatic profiles.
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Affiliation(s)
- Rujian He
- Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, China; Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, Key Laboratory for City Cluster Environmental Safety and Green Development of the Ministry of Education, School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China
| | - Hongjie Zhong
- Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, China; Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, Key Laboratory for City Cluster Environmental Safety and Green Development of the Ministry of Education, School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China
| | - Chang He
- Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, China; Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, Key Laboratory for City Cluster Environmental Safety and Green Development of the Ministry of Education, School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China
| | - Hailing Li
- Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, China; Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, Key Laboratory for City Cluster Environmental Safety and Green Development of the Ministry of Education, School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China
| | - Zhanxiang Wang
- Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, China; Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, Key Laboratory for City Cluster Environmental Safety and Green Development of the Ministry of Education, School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China
| | - Jing Zheng
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510530, China
| | - Guiying Li
- Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, China; Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, Key Laboratory for City Cluster Environmental Safety and Green Development of the Ministry of Education, School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China
| | - Taicheng An
- Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, China; Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, Key Laboratory for City Cluster Environmental Safety and Green Development of the Ministry of Education, School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China.
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Jardel HV, Keil AP, Martin CL, Richardson DB, Stenzel MR, Stewart PA, Christenbury KE, Engel LS, Sandler DP. Oil spill cleanup related exposures to benzene, toluene, ethylbenzene, xylenes, and n-hexane and incident diabetes mellitus. ENVIRONMENTAL RESEARCH 2025; 276:121487. [PMID: 40154786 DOI: 10.1016/j.envres.2025.121487] [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: 08/29/2024] [Revised: 03/04/2025] [Accepted: 03/25/2025] [Indexed: 04/01/2025]
Abstract
BACKGROUND AND OBJECTIVES Exposure to benzene, toluene, ethylbenzene, xylenes, and n-hexane (BTEX-H) may contribute to the development of diabetes. Oil spill response and cleanup (OSRC) workers are exposed to BTEX-H but there are few relevant studies. We studied incident diabetes over 10 years of follow-up among OSRC workers. METHODS This analysis includes 21,726 participants (82.2 % male, mean age 39.9 years; 66.5 % White race) in the Gulf Long-term Follow-up Study - a prospective cohort of Deepwater Horizon (DWH) oil spill OSRC workers followed from 2011 to 2013 through 2021. Individual estimates of cumulative work-related exposures to specific BTEX-H chemicals and an aggregate sum (total BTEX-H) were derived from a job-exposure matrix that linked exposure group estimates derived from exposure measurements to self-reported DWH work histories. We used Cox models to estimate associations of quartiles of exposure to individual BTEX-H chemicals and total BTEX-H with diabetes incidence. We used quantile-based g-computation, quantifying associations with exposure to the BTEX-H chemicals, treating them as separate components in a mixture. We examined differences in associations by neighborhood disadvantage using the Area Deprivation Index (ADI) and by self-classified race in stratified analyses. RESULTS Exposure to the BTEX-H chemicals was associated with diabetes, with elevated hazard ratios for third and fourth quartiles of exposure compared to the first quartile. For example, total BTEX-H, Q3 and Q4 HRs were 1.10 95 %CI (0.91, 1.33) and 1.27 95 %CI (1.05, 1.53), respectively. The HR associated with a three-quartile increase in the BTEX-H mixture was 1.31 95 %CI (1.07, 1.59). Stratified analyses showed little variation by race and suggestions of variation by ADI. CONCLUSION Exposures to BTEX-H chemicals were associated with incident diabetes among OSRC workers for the individual BTEX-H chemicals, total BTEX-H, and the BTEX-H mixture. The range of exposures in this study make these findings relevant to other low to moderate exposure settings.
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Affiliation(s)
- Hanna V Jardel
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA.
| | - Alexander P Keil
- Occupational and Environmental Epidemiology Branch, National Cancer Institute Division of Cancer Epidemiology and Genetics, Bethesda, MD, USA
| | - Chantel L Martin
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - David B Richardson
- Department of Environmental and Occupational Health, Program in Public Health, University of California, Irvine, CA, USA
| | - Mark R Stenzel
- Exposure Assessment Applications, LLC, Arlington, VA, USA
| | | | | | - Lawrence S Engel
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
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Nedozi OI, Sogbanmu TO, Abdulrazaq MM, Oloyo AK. Simulated occupational exposure to volatile organic compounds from industrial printing ink alter behavioral, neurological, oxidative, hepatic, and kidney indices in mice. ARCHIVES OF ENVIRONMENTAL & OCCUPATIONAL HEALTH 2025:1-14. [PMID: 40368451 DOI: 10.1080/19338244.2025.2503917] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Accepted: 04/27/2025] [Indexed: 05/16/2025]
Abstract
Industrial printing inks are major sources of occupational exposure to volatile organic compounds (VOCs) with potential adverse effects. The behavioral, neurological, oxidative, hepatic, and kidney function effects of simulated occupational exposure to VOCs emitted from an industrial printing ink were investigated in laboratory mice, Mus musculus for 4 weeks. Average TVOCs value of 0.5 mg/m3 measured at 10 printing presses was the exposure level utilized in this study. There were significant duration-dependent and sex-disaggregated differences in the behavioral responses; acetylcholinesterase (neurological biomarker) and MDA (lipid peroxidation biomarker) activities significantly increased while SOD and CAT (antioxidants) activities significantly decreased in the brain; ALT, AST, and ALP (liver) as well as bilirubin, urea, and creatinine (kidney) were significantly elevated in exposed mice correlating with histopathologies compared to control. The results showed that long term inhalation of VOCs emitted from industrial printing inks may pose multiple sub-lethal effects in occupationally exposed persons, especially females.
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Affiliation(s)
- Ogugua I Nedozi
- Ecotoxicology and Conservation Unit, Department of Zoology, Faculty of Science, University of Lagos, Lagos, Nigeria
| | - Temitope O Sogbanmu
- Ecotoxicology and Conservation Unit, Department of Zoology, Faculty of Science, University of Lagos, Lagos, Nigeria
- Evidence Use in Environmental Policymaking in Nigeria (EUEPiN), Research Management Office, University of Lagos, Lagos, Nigeria
- Environmental Evidence Synthesis and Knowledge Translation Research Cluster, TETFund Centre of Excellence in Biodiversity Conservation and Ecosystem Management (EESKT-TCEBCEM), University of Lagos, Lagos, Nigeria
| | - Muhammed M Abdulrazaq
- Department of Physiology, Faculty of Basic Medical Sciences, College of Medicine, University of Lagos, Lagos, Nigeria
| | - Ahmed K Oloyo
- Department of Physiology, Faculty of Basic Medical Sciences, College of Medicine, University of Lagos, Lagos, Nigeria
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Cao S, Wan Y, Xiong Z, Li R, Wang Y, Qian X, Chen R, Wang J, Zhang L, Cui Y, Cheng R, Li Y, Xu S, Xia W. Trimester-specific associations of exposure to epoxide alkanes, alkenals, and 1,3-butadiene with preschool children's intellectual development: A birth cohort study in Wuhan, China. ENVIRONMENT INTERNATIONAL 2025; 199:109456. [PMID: 40252551 DOI: 10.1016/j.envint.2025.109456] [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: 11/27/2024] [Revised: 04/07/2025] [Accepted: 04/10/2025] [Indexed: 04/21/2025]
Abstract
The impact of prenatal exposure to contaminants with neurotoxicity like epoxide alkanes (ethylene oxide, propylene oxide), alkenals (acrolein, crotonaldehyde), and 1,3-butadiene on children's intellectual development remains underreported, and related sensitive window is of interest. In this cohort study, metabolites of these contaminants were measured in 3,081 urine samples from 1,027 pregnant women across three trimesters. Children's intelligence quotient was evaluated at 4-6 years old. Generalized estimating equation models showed that higher urinary concentrations of 2-hydroxypropyl mercapturic acid (a metabolite of propylene oxide), 3-hydroxypropyl mercapturic acid (HPMMA, a metabolite of crotonaldehyde), and the sum of acrolein metabolites in the first trimester were associated with lower visual spatial index (VSI), working memory index (WMI), or processing speed index scores. Quantile g-computation models revealed that co-exposure to these contaminants in the first trimester were associated with lower VSI (β = -0.98, 95 % CI: -1.94, -0.03) and WMI (β = -0.86, 95 % CI: -1.66, -0.06) scores, with HPMMA as the major contributor. These results suggested that early pregnancy could be a sensitive window during which exposure to propylene oxide, crotonaldehyde, and acrolein may impair offspring's intellectual development.
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Affiliation(s)
- Shuting Cao
- 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, PR China.
| | - Yanjian Wan
- Center for Public Health Laboratory Service, Institute of Environmental Health, Wuhan Centers for Disease Control & Prevention, Wuhan, Hubei 430024, PR China.
| | - Zhaoying Xiong
- 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, PR China.
| | - Ruiying Li
- 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, PR China.
| | - Yin 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, PR China.
| | - Xi Qian
- 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, PR China.
| | - Ruixin Chen
- 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, PR China.
| | - Jingyu 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, PR China.
| | - Liping Zhang
- 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, PR China.
| | - Yuan Cui
- 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, PR China.
| | - Rongrong Cheng
- 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, PR China.
| | - Yuanyuan Li
- 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, PR China.
| | - Shunqing Xu
- School of Environmental Science and Engineering, Hainan University, Haikou, Hainan 570228, PR China.
| | - Wei Xia
- 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, PR China.
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Li Y, Bao Y, Gu J, Han Z, Deng X, Mu W, Wang H, Qi H, Han L, Ran J. Ambient low-level benzene, genetic factors, and heart failure incidence among urban adults. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2025; 296:118207. [PMID: 40245559 DOI: 10.1016/j.ecoenv.2025.118207] [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: 01/31/2025] [Revised: 04/13/2025] [Accepted: 04/14/2025] [Indexed: 04/19/2025]
Abstract
Ambient benzene, a representative volatile organic compound (VOC) primarily resulting from rapid industrialization and urbanization, is also of great concern as an urban air toxic. The global benzene market is experiencing steady growth, driven by its use in industrial manufacturing. Currently, population epidemiological evidence about the effects of ambient benzene on heart failure (HF) incidence is still inadequate, especially at low levels of long-term exposure. Leveraging data from 277,585 urban residents in the UK Biobank, the study utilized Cox regression models adjusted for potential confounders to evaluate the association between low-concentration benzene exposure and HF risk. The investigation also assessed potential interactions between genetic predisposition and ambient benzene by applying relative excess risk due to interaction (RERI) metrics and interaction significance testing. Furthermore, the effect of ambient benzene on cardiac functional parameters was estimated using multiple linear regression models. This study demonstrated that per interquartile range increment of ambient benzene was related to the elevated HF risk (hazard ratios = 1.22, 95 % confidence interval (CI): 1.07-1.39] from the time-dependent Cox model. An additive interaction between ambient benzene and genetic risk was observed (RERI = 0.18, 95 % CI: 0.01-0.36). Ambient benzene exposure demonstrated significant correlations with modifications in cardiac functional parameters, such as ventricular end-diastolic and end-systolic volumes. Prolonged exposure to low-concentration ambient benzene may elevate the likelihood of developing HF, which provides the necessary evidence for the systematic risk assessment of ambient benzene and promotes the formulation and updating of air quality guidelines worldwide.
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Affiliation(s)
- Yongxuan Li
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yujia Bao
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jiawei Gu
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zheshen Han
- School of Public Health, University of Hong Kong, Hong Kong
| | - Xiaobei Deng
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wei Mu
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hui Wang
- MOE-Shanghai Key Laboratory of Children's Environmental Health, Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hongchao Qi
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Lefei Han
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Jinjun Ran
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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7
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Beier JI, Luo J, Vanderpuye CM, Brizendine P, Muddasani P, Bolatimi O, Heinig SA, Ekuban FA, Siddiqui H, Ekuban A, Gripshover TC, Wahlang B, Watson WH, Cave MC. Environmental Pollutants, Occupational Exposures, and Liver Disease. Semin Liver Dis 2025. [PMID: 40118102 DOI: 10.1055/a-2540-2861] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/23/2025]
Abstract
Environmental pollutants significantly impact liver disease development, progression, and outcomes. This review examines the complex relationship between environmental exposures and liver pathology, from malignant conditions like hepatocellular carcinoma to steatotic and cholestatic liver diseases. Key environmental factors include air pollutants, volatile organic compounds, persistent organic pollutants, heavy metals, and per- and polyfluoroalkyl substances. These compounds can act through multiple mechanisms, including endocrine disruption, metabolic perturbation, oxidative stress, and direct hepatotoxicity. The impact of these exposures is often modified by factors such as sex, diet, and genetic predisposition. Recent research has revealed that even low-level exposures to certain chemicals can significantly affect liver health, particularly when combined with other risk factors. The emergence of exposomics as a research tool promises to enhance our understanding of how environmental factors influence liver disease. Importantly, exposure effects can vary by demographic and socioeconomic factors, highlighting environmental justice concerns. Implementation of this knowledge in clinical practice requires new diagnostic approaches, healthcare system adaptations, and increased awareness among medical professionals. In conclusion, this review provides a comprehensive examination of current evidence linking environmental exposures to liver disease and discusses implications for clinical practice and public health policy.
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Affiliation(s)
- Juliane I Beier
- Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
- Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Jianzhu Luo
- Department of Medicine, University of Louisville School of Medicine, Louisville, Kentucky
| | | | - Paxton Brizendine
- Department of Pharmacology and Toxicology, University of Louisville School of Medicine, Louisville, Kentucky
| | - Pooja Muddasani
- Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Oluwanifemiesther Bolatimi
- Department of Pharmacology and Toxicology, University of Louisville School of Medicine, Louisville, Kentucky
| | - Shannon A Heinig
- Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Frederick A Ekuban
- Department of Medicine, University of Louisville School of Medicine, Louisville, Kentucky
| | - Hamda Siddiqui
- Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Abigail Ekuban
- Department of Medicine, University of Louisville School of Medicine, Louisville, Kentucky
| | - Tyler C Gripshover
- Department of Medicine, University of Louisville School of Medicine, Louisville, Kentucky
| | - Banrida Wahlang
- Department of Medicine, University of Louisville School of Medicine, Louisville, Kentucky
- Department of Pharmacology and Toxicology, University of Louisville School of Medicine, Louisville, Kentucky
| | - Walter H Watson
- Department of Medicine, University of Louisville School of Medicine, Louisville, Kentucky
- Department of Pharmacology and Toxicology, University of Louisville School of Medicine, Louisville, Kentucky
| | - Matthew C Cave
- Department of Medicine, University of Louisville School of Medicine, Louisville, Kentucky
- Department of Pharmacology and Toxicology, University of Louisville School of Medicine, Louisville, Kentucky
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8
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Duan X, Chen Z, Liao J, Wen M, Yue Y, Liu L, Li X, Long L. The association analysis between exposure to volatile organic compounds and fatty liver disease in US Adults. Dig Liver Dis 2025; 57:535-541. [PMID: 39426902 DOI: 10.1016/j.dld.2024.09.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Revised: 07/15/2024] [Accepted: 09/27/2024] [Indexed: 10/21/2024]
Abstract
BACKGROUND Limited epidemiological research has explored the associations between ambient volatile organic compounds (VOCs) and fatty liver disease (FLD). This study aimed to explore the associations between VOCs and FLD and liver function biomarkers. We obtained urinary concentrations of VOCs metabolites from NHANES. METHODS Weighted logistic regression models were employed to investigate the relationships between VOCs and FLD risk, including alcoholic FLD (AFLD) and non-alcoholic FLD (NAFLD). The associations of VOCs and liver function biomarkers were also investigated using weighted linear regression. RESULTS Among the 2050 participants, 774 were classified as having FLD. After adjustment, each log-transformed SD increase in N-Acetyl-S-(2-carboxyethyl)-l-cysteine (CEMA), 2-Aminothiazoline-4-carboxylicacid (ATCA), and trans-trans-muconic-acid (MUCA) had a OR (95%CI) of 1.30 (1.06-1.61; P-trend=0.014), 1.34 (1.12-1.61; P-trend=0.002), and 1.22 (1.01-1.47; P-trend=0.035), respectively. ATCA and MUCA were associated with higher risks of NAFLD (OR=1.47, 95%CI: 1.20-1.79, and OR=1.26, 95%CI: 1.02-1.56, respectively). VOCs were positively associated with gamma glutamyl transaminase (GGT) and C-reactive protein (CRP), while inversely associated with albumin, total protein and alanine aminotransferase (ALT) (P < 0.05). CONCLUSIONS Urinary metabolites of VOCs have been found to be strongly correlated with a higher risk of FLD and NFALD, and impaired liver function. These novel findings merit further prospective studies to comprehend the effect of VOCs on liver diseases.
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Affiliation(s)
- Xiaoxia Duan
- Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China; Laboratory of Child and Adolescent Psychiatry, Mental Health Center, West China Hospital, Sichuan University, Chengdu, China
| | - Zhenhua Chen
- Department of Microbiology Laboratory, Chengdu Municipal Center for Disease Control and Pevention, Chengdu, China
| | - Juan Liao
- Department of Gastroenterology, West China School of public health and West China Forth Hospital, Sichuan University, Chengdu, China
| | | | - Yong Yue
- Chengdu Hi-Tech Development Zone Center for Disease Control and Prevention, Chengdu, China
| | - Li Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
| | - Xiaojing Li
- Chengdu Jinjiang Center for Disease Control and Prevention, Chengdu, China
| | - Lu Long
- Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
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Zhang J, Li R, Wang K, Xu T, He Y, Han T, Lin X, Jin L. Relation of volatile organic compounds to renal function in American adolescents: three statistical models. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2025:1-12. [PMID: 39890440 DOI: 10.1080/09603123.2025.2461106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Accepted: 01/28/2025] [Indexed: 02/03/2025]
Abstract
This study was conducted to evaluate the relationship between 17 urinary metabolites of volatile organic compounds (mVOCs) in adolescents and renal function parameters (estimated glomerular filtration rate (eGFR), albumin-to-creatinine ratio (ACR), urinary albumin, serum uric acid (SUA), and blood urea nitrogen (BUN)). In adjusted generalised linear models (GLM), mVOCs were positively correlated with eGFR, urinary albumin, and BUN, and mVOCs were negatively correlated with ACR and SUA. Weighted Quartile Sum (WQS) index correlated with eGFR [β(95%CI): 0.040 (0.028, 0.052)], urine albumin [β(95%CI): 0.275 (0.203, 0.622)], SUA [β(95%CI): 0.040 (0.025, 0.055)] and BUN [β(95%CI): 0.102 (0.082, 0.122)]. In Bayesian Kernel Machine Regression (BKMR) model, total compound effect was positively correlated with eGFR, positive associations were observed in high concentration of the mixture with urine albumin and ACR. Findings suggest that single and mixed exposures to mVOCs may affect renal parameters in adolescents.
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Affiliation(s)
- Jiaqi Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Runhong Li
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Kaiyuan Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Tong Xu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Yue He
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Tianyang Han
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Xinli Lin
- Department of Child and Adolescent Health, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Lina Jin
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China
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10
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Lin L, Cao H, Wu B, Wang J, Song L, Chan W, Li G, Zhou L, Xiao J, Zhu L, Lian Y. Association between occupational exposure to gasoline and anemia: a retrospective cohort study in China. BMC Public Health 2025; 25:330. [PMID: 39871221 PMCID: PMC11771115 DOI: 10.1186/s12889-025-21575-0] [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: 12/06/2023] [Accepted: 01/21/2025] [Indexed: 01/29/2025] Open
Abstract
BACKGROUND Anemia is a major global burden, and occupational gasoline exposure is a common occupational hazard factor. Although previous studies have shown that there is a potential relationship between occupational gasoline exposure and the increase of anemia prevalence, this relationship has not been fully explored. The current cohort study aimed to investigate the association between occupational exposure to gasoline and anemia, and the effect of gasoline concentration on hemoglobin (Hb) levels. METHODS This retrospective cohort study collected baseline data from 1451 workers, including 605 exposed to gasoline and 846 not exposed to gasoline. Participants were enrolled in 2013-2015, and follow-up in 2019. Anemia was diagnosed according to WHO guidelines on hemoglobin cutoffs to define anemia in individuals and populations. Occupational exposure concentration of gasoline was measured based on the Chinese national standard (GBZ-T300.62-2017). Logistic regression was conducted to analyze the associations of occupational exposure to gasoline and anemia. RESULTS The incidence of anemia among workers exposed to gasoline was significantly higher than that among non-exposed workers (relative risk [RR] = 11.03, 95% confidence interval [CI]: 9.45-12.53). The risks of anemia were significantly higher among participants exposed to gasoline concentrations ≥ 43.20 mg/m³ (RR = 13.92, 95%CI: 12.25-15.28), 18.01-43.19 mg/m³ (RR = 12.93, 95%CI: 11.07-14.51), and 0.01-18.00 mg/m³ (RR = 5.49, 95%CI: 3.96-7.32) compared with the control non-exposed group. The risk of anemia was significantly higher among exposed workers, after adjusting for all confounding factors. There was also a significant negative correlation between gasoline exposure concentration and hemoglobin level. CONCLUSIONS Occupational exposure to gasoline is associated with an increased incidence of anemia, with a positive correlation between occupational gasoline exposure levels and the severity of anemia. The incidence and severity of anemia increase while hemoglobin levels decrease in line with increasing gasoline exposure concentrations. These findings emphasize the importance of assessing anemia in workers exposed to gasoline.
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Affiliation(s)
- Lan Lin
- Division of Epidemiology and Medical Statistics, School of Public Health, Nantong University, Se Yuan Road, No 9, Nantong, Jiangsu, 226019, China
| | - Hongmei Cao
- Division of Epidemiology and Medical Statistics, School of Public Health, Nantong University, Se Yuan Road, No 9, Nantong, Jiangsu, 226019, China
| | - Beining Wu
- Division of Epidemiology and Medical Statistics, School of Public Health, Nantong University, Se Yuan Road, No 9, Nantong, Jiangsu, 226019, China
| | - Jin Wang
- Division of Epidemiology and Medical Statistics, School of Public Health, Nantong University, Se Yuan Road, No 9, Nantong, Jiangsu, 226019, China
| | - Lin Song
- Division of Epidemiology and Medical Statistics, School of Public Health, Nantong University, Se Yuan Road, No 9, Nantong, Jiangsu, 226019, China
| | - Weiling Chan
- Division of Epidemiology and Medical Statistics, School of Public Health, Nantong University, Se Yuan Road, No 9, Nantong, Jiangsu, 226019, China
| | - Geyang Li
- Division of Epidemiology and Medical Statistics, School of Public Health, Nantong University, Se Yuan Road, No 9, Nantong, Jiangsu, 226019, China
| | - Li Zhou
- Division of Epidemiology and Medical Statistics, School of Public Health, Nantong University, Se Yuan Road, No 9, Nantong, Jiangsu, 226019, China
| | - Jing Xiao
- Department of Occupational Environmental Toxicology, School of Public Health, Nantong University, Nantong, Jiangsu, 226019, China
| | - Lejia Zhu
- Division of Epidemiology and Medical Statistics, School of Public Health, Nantong University, Se Yuan Road, No 9, Nantong, Jiangsu, 226019, China.
| | - Yulong Lian
- Division of Epidemiology and Medical Statistics, School of Public Health, Nantong University, Se Yuan Road, No 9, Nantong, Jiangsu, 226019, China.
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11
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Shao W, Gong P, Wang Q, Ding F, Shen W, Zhang H, Huang A, Liu C. Association of exposure to multiple volatile organic compounds with ultrasound-defined hepatic steatosis and fibrosis in the adult US population: NHANES 2017-2020. Front Public Health 2025; 12:1437519. [PMID: 39897180 PMCID: PMC11782259 DOI: 10.3389/fpubh.2024.1437519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2024] [Accepted: 12/27/2024] [Indexed: 02/04/2025] Open
Abstract
Objective Volatile organic compounds (VOCs) are pervasive environmental pollutants known to impact human health, but their role in liver steatosis or fibrosis is not fully understood. This study investigates the association of urinary VOC mixtures with the risk of liver steatosis and fibrosis in U.S. adult population. Methods Data of 1854 adults from the National Health and Nutrition Examination Survey (NHANES) from 2017.01 to 2020.03 were collected. Vibration Controlled Transient Elastography (VCTE) assessed hepatic steatosis and liver fibrosis via the controlled attenuation parameter (CAP) and liver stiffness measurement (LSM), respectively. The study examined the relationship between urinary exposure biomarkers for 20 VOCs and liver health outcomes using multivariate logistic regression and Bayesian Kernel Machine Regression (BKMR) to evaluate the effects of both individual and mixed VOC exposures. Results Multivariate logistic regression analysis revealed that exposure biomarkers for acrolein and crotonaldehyde were positively associated with hepatic steatosis. Conversely, biomarkers for styrene, ethylbenzene, and propylene oxide were negatively associated with hepatic steatosis. Furthermore, biomarkers for 1,3-butadiene and xylene were positively associated with liver fibrosis, while ethylbenzene was negatively associated with this condition. BKMR analysis identified a significant positive joint effect of VOC biomarkers on CAP. Notably, when other VOC-EBs were held at median levels, biomarkers for acrolein and 1,3-butadiene exhibited linear correlations with Ln CAP and hepatic Ln LSM, respectively. Conclusion The study highlights the potential hepatotoxic effects of VOC mixtures, particularly noting the roles of acrolein and 1,3-butadiene in exacerbating liver steatosis and fibrosis. These findings advocate for further research to explore the mechanistic pathways and conduct longitudinal studies to establish causality and enhance understanding of VOCs' impact on liver health.
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Affiliation(s)
- Wentao Shao
- School of Instrument Science and Engineering, Southeast University, Nanjing, China
- Center of Gallstone Disease, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
| | - Pan Gong
- Hongkou District Center for Disease Control and Prevention (Hongkou District Institute of Health Supervision), Shanghai, China
| | - Qihan Wang
- Center of Gallstone Disease, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
| | - Fan Ding
- Center of Gallstone Disease, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
| | - Weiyi Shen
- Center of Gallstone Disease, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
| | - Hongchao Zhang
- Center of Gallstone Disease, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
| | - Anhua Huang
- Center of Gallstone Disease, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
| | - Chengyu Liu
- School of Instrument Science and Engineering, Southeast University, Nanjing, China
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12
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Yu L, Liu W, Zhang Y, Tan Q, Song J, Fan L, You X, Zhou M, Wang B, Chen W. Styrene and ethylbenzene exposure and type 2 diabetes mellitus: A longitudinal gene-environment interaction study. ECO-ENVIRONMENT & HEALTH 2024; 3:452-457. [PMID: 39559189 PMCID: PMC11570399 DOI: 10.1016/j.eehl.2024.07.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Revised: 06/12/2024] [Accepted: 07/21/2024] [Indexed: 11/20/2024]
Abstract
Styrene and ethylbenzene (S/EB) are identified as hazardous air contaminants that raise significant concerns. The association between S/EB exposure and the incidence of type 2 diabetes mellitus (T2DM), and the interaction between genes and environment, remains poorly understood. Our study consisted of 2219 Chinese adults who were part of the Wuhan-Zhuhai cohort. A follow-up assessment was conducted after six years. Exposure to S/EB was quantified by determining the concentrations of urinary biomarkers of exposure to S/EB (UBE-S/EB; urinary phenylglyoxylic acid level plus urinary mandelic acid level). Logistic regression models were constructed to investigate the relations of UBE-S/EB and genetic risk score (GRS) with T2DM prevalence and incidence. The interaction effects of UBE-S/EB and GRS on T2DM were investigated on multiplicative and additive scales. UBE-S/EB was dose-dependently and positively related to T2DM prevalence and incidence. Participants with high levels of UBE-S/EB [relative risk (RR) = 1.930, 95% confidence interval (CI): 1.157-3.309] or GRS (1.943, 1.110-3.462) demonstrated the highest risk of incident T2DM, in comparison to those with low levels of UBE-S/EB or GRS. Significant additive interaction between UBE-S/EB and GRS on T2DM incidence was discovered with relative excess risk due to interaction (95% CI) of 0.178 (0.065-0.292). The RR (95% CI) of T2DM incidence was 2.602 (1.238-6.140) for individuals with high UBE-S/EB and high GRS, compared to those with low UBE-S/EB and low GRS. This study presented the initial evidence that S/EB exposure was significantly related to increased risk of T2DM incidence, and the relationship was interactively aggravated by genetic predisposition.
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Affiliation(s)
- Linling Yu
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
- Department of Public Health, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 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 430030, China
| | - Wei Liu
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 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 430030, China
| | - Yongfang Zhang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 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 430030, China
| | - Qiyou Tan
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 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 430030, China
| | - Jiahao Song
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 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 430030, China
| | - Lieyang Fan
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 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 430030, China
| | - Xiaojie You
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 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 430030, China
| | - Min Zhou
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 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 430030, China
| | - Bin Wang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 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 430030, China
| | - Weihong Chen
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 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 430030, China
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13
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Debarba LK, Jayarathne HS, Stilgenbauer L, dos Santos ALT, Koshko L, Scofield S, Sullivan R, Mandal A, Klueh U, Sadagurski M. Microglia Mediate Metabolic Dysfunction From Common Air Pollutants Through NF-κB Signaling. Diabetes 2024; 73:2065-2077. [PMID: 39320947 PMCID: PMC11579412 DOI: 10.2337/db24-0110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Accepted: 09/08/2024] [Indexed: 09/26/2024]
Abstract
The prevalence of type 2 diabetes (T2D) poses a significant health challenge, yet the contribution of air pollutants to T2D epidemics remains under-studied. Several studies demonstrated a correlation between exposure to volatile organic compounds (VOCs) in indoor/outdoor environments and T2D. Here, we conducted the first meta-analysis, establishing a robust association between exposure to benzene, a prevalent airborne VOC, and insulin resistance in humans across all ages. We used a controlled benzene exposure system, continuous glucose monitoring approach, and indirect calorimetry in mice, to investigate the underlying mechanisms. Following exposure, disruptions in energy homeostasis, accompanied by modifications in the hypothalamic transcriptome and alterations in insulin and immune signaling, were observed exclusively in males, leading to a surge in blood glucose levels. In agreement, RNA sequencing of microglia revealed increased expression of genes associated with immune response and NF-κB signaling. Selective ablation of IKKβ in immune cells (Cx3cr1GFPΔIKK) or exclusively in microglia (Tmem119ERΔIKK) in adult mice alleviated benzene-induced gliosis, restored energy homeostasis and hypothalamic gene expression, and protected against hyperglycemia. We conclude that the microglial NF-κB pathway plays a critical role in chemical-induced metabolic disturbances, revealing a vital pathophysiological mechanism linking exposure to airborne toxicants and the onset of metabolic diseases. ARTICLE HIGHLIGHTS
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Affiliation(s)
- Lucas K. Debarba
- Department of Biological Sciences, Wayne State University, Detroit, MI
| | | | | | | | - Lisa Koshko
- Department of Biological Sciences, Wayne State University, Detroit, MI
| | - Sydney Scofield
- Department of Biological Sciences, Wayne State University, Detroit, MI
| | - Ryan Sullivan
- Department of Biological Sciences, Wayne State University, Detroit, MI
| | - Abhijit Mandal
- Department of Mathematical Sciences, University of Texas at El Paso, El Paso, TX
| | - Ulrike Klueh
- Biomedical Engineering, Wayne State University, Detroit, MI
| | - Marianna Sadagurski
- Department of Biological Sciences, Wayne State University, Detroit, MI
- Institute of Environmental Health Sciences, Integrative Biosciences Center, Wayne State University, Detroit, MI
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14
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Johnson VJ, Luster MI, Maier A, Boles C, Miller EW, Arrieta DE. Application and interpretation of immunophenotyping data in safety and risk assessment. FRONTIERS IN TOXICOLOGY 2024; 6:1409365. [PMID: 39430110 PMCID: PMC11486759 DOI: 10.3389/ftox.2024.1409365] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2024] [Accepted: 09/12/2024] [Indexed: 10/22/2024] Open
Abstract
The use of immunophenotyping during immunotoxicity investigations was first popularized in the 1980 s and has since become more integrated into diagnostic and non-clinical assessments. The data provided from immunophenotyping can serve as an initial source of information to guide decisions for additional, more advanced, immunotoxicity testing as well as for human health safety and risk assessment of drugs and chemicals. However, comprehensive guidance describing applications of immunophenotyping data in immunotoxicity investigations is lacking, particularly among regulatory bodies. Therefore, a critical examination is needed for the appropriate interpretations and potential misinterpretations of such data during the assessment of drug safety and chemical risk. As such, the current uses and implications of immunophenotyping data in human health safety and risk assessments has been evaluated to provide additional context for the application of current methodologies and guidelines. In addition, case studies are presented to highlight the challenges of interpreting immunophenotyping results along with incorporating the findings into immunotoxicity investigations. Based on the analyses of current approaches and methodologies, a decision flow is presented for use of immunophenotyping data during risk informed decision making.
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Affiliation(s)
- Victor J. Johnson
- Burleson Research Technologies, Inc., Morrisville, NC, United States
| | | | - Andrew Maier
- Stantec ChemRisk, Cincinnati, OH, United States
- Integral Consulting, Inc., Cincinnati, OH, United States
| | - Corey Boles
- Stantec ChemRisk, Raleigh, NC, United States
- Insight Exposure and Risk Sciences Group, Raleigh, NC, United States
| | | | - Daniel E. Arrieta
- Chevron Phillips Chemical Company LP, The Woodlands, TX, United States
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15
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Wang Y, Yu Y, Zhang X, Zhang H, Zhang Y, Wang S, Yin L. Combined association of urinary volatile organic compounds with chronic bronchitis and emphysema among adults in NHANES 2011-2014: The mediating role of inflammation. CHEMOSPHERE 2024; 361:141485. [PMID: 38438022 DOI: 10.1016/j.chemosphere.2024.141485] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 01/26/2024] [Accepted: 02/15/2024] [Indexed: 03/06/2024]
Abstract
Evidence on the association of volatile organic compounds (VOCs) with chronic bronchitis (CB) and emphysema is spare and defective. To evaluate the relationship between urinary metabolites of VOCs (mVOCs) with CB and emphysema, and to identify the potential mVOC of paramount importance, data from NHANES 2011-2014 waves were utilized. Logistic regression was conducted to estimate the independent association of mVOCs with respiratory outcomes. Least absolute shrinkage and selection operator (LASSO) regression was performed to screen a parsimonious set of CB- and emphysema-relevant mVOCs that were used for further co-exposure analyses of weighted quantile sum (WQS) regression and Bayesian kernel machine regression (BKMR). Mediation analysis was employed to detect the mediating role of inflammatory makers in such associations. In single exposure analytic model, nine mVOCs were individually and positively associated with CB, while four mVOCs were with emphysema. In WQS regression, positive association between LASSO selected mVOCs and CB was identified (OR = 1.82, 95% CI: 1.25 to 2.69), and N-acetyl-S-(4-hydroxy-2-butenyl)-l-cysteine (MHBMA3) weighted the highest. Results from BKMR further validated such combined association and the significance of MHBMA3. As for emphysema, significantly positive overall trend of mVOCs was only observed in BKMR model and N-acetyl-S-(N-methylcarbamoyl)-l-cysteine (AMCC) contributed most to the mixed effect. White blood cell count (WBC) and lymphocyte number (LYM) were mediators in the positive pattern of mVOCs mixture with CB, while association between mVOCs mixture and emphysema was significantly mediated by LYM and segmented neutrophils num (NEO). This study demonstrated that exposure to VOCs was associated with CB and emphysema independently and combinedly, which might be partly speculated that VOCs were linked to activated inflammations. Our findings shed novel light on VOCs related respiratory illness, and provide a new basis for the contribution of certain VOCs to the risk of CB and emphysema, which has potential public health implications.
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Affiliation(s)
- Yucheng Wang
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, 210009, China
| | - Yongquan Yu
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, 210009, China
| | - Xiaoxuan Zhang
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, 210009, China
| | - Hu Zhang
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, 210009, China
| | - Ying Zhang
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, 210009, China
| | - Shizhi Wang
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, 210009, China
| | - Lihong Yin
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, 210009, China.
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Shen Q, Liu Y, Li G, An T. A review of disrupted biological response associated with volatile organic compound exposure: Insight into identification of biomarkers. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 948:174924. [PMID: 39047835 DOI: 10.1016/j.scitotenv.2024.174924] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Revised: 07/09/2024] [Accepted: 07/19/2024] [Indexed: 07/27/2024]
Abstract
Volatile organic compounds (VOCs) are widespread harmful atmospheric pollutants, which have long been concerned and elucidated to be one of the risks of acute and chronic diseases for human, such as leukemia and cancer. Although numerous scientific studies have documented the potential adverse outcomes caused by VOC exposure, the mechanisms which biological response pathways of these VOC disruption remain poorly understood. Therefore, the identification of biochemical markers associated with metabolism, health effects and diseases orientation can be an effective means of screening biological targets for VOC exposure, which provide evidences to the toxicity assessment of compounds. The current review aims to understand the mechanisms underlying VOCs-elicited adverse outcomes by charactering various types of biomarkers. VOCs-related biomarkers from three aspects were summarized through in vitro, animal and epidemiological studies. i) Unmetabolized and metabolized VOC biomarkers in human samples for assessing exposure characteristics in different communities; ii) Adverse endpoint effects related biomarkers, mainly including (anti)oxidative stress, inflammation response and DNA damage; iii) Omics-based molecular biomarkers alteration in gene, protein, lipid and metabolite aspects associated with biological signaling pathway disorders response to VOC exposure. Further research, advanced machine learning and bioinformation approaches combined with experimental results are urgently needed to ascertain the selection of biomarkers and further illuminate toxic mechanisms of VOC exposure. Finally, VOCs-induced disease causes can be predicted with proven results.
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Affiliation(s)
- Qianyong Shen
- Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, China; Guangdong Engineering Technology Research Center for Photocatalytic Technology Integration and Equipment, Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China
| | - Yalin Liu
- Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, China; Guangdong Engineering Technology Research Center for Photocatalytic Technology Integration and Equipment, Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China
| | - Guiying Li
- Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, China; Guangdong Engineering Technology Research Center for Photocatalytic Technology Integration and Equipment, Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China
| | - Taicheng An
- Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, China; Guangdong Engineering Technology Research Center for Photocatalytic Technology Integration and Equipment, Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China.
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Lian X, Guo J, Wang Y, Wang S, Li J. Association between Volatile Organic Compound Exposure and Sex Hormones in Adolescents: The Mediating Role of Serum Albumin. TOXICS 2024; 12:438. [PMID: 38922118 PMCID: PMC11209113 DOI: 10.3390/toxics12060438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/29/2024] [Revised: 06/15/2024] [Accepted: 06/17/2024] [Indexed: 06/27/2024]
Abstract
The associations between VOCs and sex hormones in adolescents remain unclear, and the role of serum albumin in these associations deserves to be explored. We conducted cross-sectional analyses using generalized linear models (GLMs), weighted quantile sum (WQS) regression, and mediation analysis, based on data from 584 adolescents from the National Health and Nutrition Examination Survey (NHANES). The GLM analyses revealed that seven kinds of mVOCs potentially affected sex hormone levels. According to the WQS regression results, 2-aminothiazoline-4-carboxylic acid (ATCA) was the major contributor to the significant associations of mixed mVOC exposure with testosterone, estradiol, and free androgen index in males; N-acetyl-S-(N-methylcarbamoyl)-L-cysteine (AMCC) was the major contributor to the significant associations of mixed mVOC exposure with sex hormone-binding globulin in males; and N-acetyl-S-(benzyl)-L-cysteine (BMA) was the major contributor to the significant associations of mixed mVOC exposure with the ratio of testosterone to estradiol in females. Moreover, serum albumin could mediate up to 9.2% of the associations between mixed exposure to mVOCs and sex hormones. Our findings could provide a reference for studies on the mechanisms underlying the effects of VOCs on sex hormones in adolescents and emphasize the necessity of reducing exposure to ATCA, AMCC, BMA, and their parent compounds.
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Affiliation(s)
| | | | | | | | - Jing Li
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China; (X.L.); (J.G.); (S.W.)
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Zhang S, Tang H, Zhou M, Pan L. Sexual dimorphism association of combined exposure to volatile organic compounds (VOC) with kidney damage. ENVIRONMENTAL RESEARCH 2024; 258:119426. [PMID: 38879106 DOI: 10.1016/j.envres.2024.119426] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Revised: 06/05/2024] [Accepted: 06/12/2024] [Indexed: 06/21/2024]
Abstract
BACKGROUND Epidemiological evidence emphasizes air pollutants' role in chronic kidney disease (CKD). Volatile organic compounds (VOCs) contribute to air pollution, yet research on VOCs and kidney damage, especially gender disparities, is limited. METHODS This study analyzed NHANES data to explore associations between urinary VOC metabolite mixtures (VOCMs) and key kidney-related parameters: estimated glomerular filtration rate (eGFR), albumin-to-creatinine ratio (ACR), chronic kidney disease (CKD), and albuminuria. Mediation analyses assessed the potential mediating roles of biological aging (BA) and serum albumin in VOCM mixtures' effects on kidney damage. Sensitivity analyses were also conducted. RESULTS The mixture analysis unveiled a noteworthy positive association between VOCM mixtures and the risk of developing CKD, coupled with a significant negative correlation with eGFR within the overall participant cohort. These findings remained consistent when examining the female subgroup. However, among male participants, no significant link emerged between VOCM mixtures and CKD or eGFR. Furthermore, in both the overall and female participant groups, there was an absence of a significant correlation between VOCM mixtures and either ACR or albuminuria. On the other hand, in male participants, while no significant correlation was detected with albuminuria, a significant positive correlation was observed with ACR. Pollutant analysis identified potential links between kidney damage and 1,3-butadiene, toluene, ethylbenzene, styrene, xylene, acrolein, crotonaldehyde and propylene oxide. Mediation analyses suggested that BA might partially mediate the relationship between VOCM mixtures and kidney damage. CONCLUSION The current findings highlight the widespread exposure to VOCs among the general U.S. adult population and indicate a potential correlation between exposure to VOC mixtures and compromised renal function parameters, with notable gender disparities. Females appear to exhibit greater sensitivity to impaired renal function resulting from VOCs exposure. Anti-aging treatments may offer some mitigation against kidney damage due to VOCs exposure.
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Affiliation(s)
- Shuai Zhang
- Department of Male Reproductive Health, Lianyungang Maternal and Child Health Hospital, Qindongmen Avenue, Haizhou District, Lianyungang, 222000, China; Clinical Center of Reproductive Medicine, Lianyungang Maternal and Child Health Hospital, Qindongmen Avenue, Haizhou District, Lianyungang, 222000, China.
| | - Hanhan Tang
- Graduate School of Xuzhou Medical University, Xuzhou Medical University, No. 209, Tongshan Road, Xuzhou, 221004, China
| | - Minglian Zhou
- Department of Male Reproductive Health, Lianyungang Maternal and Child Health Hospital, Qindongmen Avenue, Haizhou District, Lianyungang, 222000, China; Clinical Center of Reproductive Medicine, Lianyungang Maternal and Child Health Hospital, Qindongmen Avenue, Haizhou District, Lianyungang, 222000, China
| | - Linqing Pan
- Clinical Center of Reproductive Medicine, Lianyungang Maternal and Child Health Hospital, Qindongmen Avenue, Haizhou District, Lianyungang, 222000, China
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Zhuang Y, Li L, Zhang Y, Liu X, Zeng B, Zhu B, Dai F. Single and mixed effects of multiple volatile organic compounds exposure on hematological parameters in the U.S. adult population. CHEMOSPHERE 2024; 355:141825. [PMID: 38552802 DOI: 10.1016/j.chemosphere.2024.141825] [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: 12/28/2023] [Revised: 02/26/2024] [Accepted: 03/26/2024] [Indexed: 04/18/2024]
Abstract
BACKGROUND Most research exploring the correlation between volatile organic compounds (VOCs) and hematological parameters have focused on single VOCs. Our study aimed to explore the single and combined effects of VOCs on hematological parameters through three statistical models. METHODS Data from 4 cycles of the National Health and Nutrition Examination Survey (NHANES) were used in this study. The correlations between single exposure to 16 VOCs and hematological parameters in the general population were assessed by weighted multiple linear regression. Weighted quantile sum (WQS) and Bayesian kernel machine regression (BKMR) models were used to explore the relationship between the combined important VOCs selected by the least absolute shrinkage and selection operator (LASSO) and hematological parameters, as well as the effects of smoking status on them. RESULTS A total of 4089 adults were included in the study. We found that a variety of VOCs were significantly associated with hematological parameters. Among them, N-acetyl-S-(benzyl)-l-cysteine (BMA) was significantly negatively correlated with white blood cell (WBC), red blood cell (RBC), lymphocyte, and neutrophil counts. N-acetyl-S-(3-hydroxypropyl-1-methyl)-l-cysteine (HPMMA) was significantly positively correlated with WBC, monocyte, lymphocyte, and neutrophil counts. In the WQS analysis, the WQS index of the VOCs mixtures was positively correlated with WBC (β: 0.031; P < 0.001), monocyte (0.023; P = 0.021), and neutrophil (0.040; P = 0.001) counts, while negatively associated with RBC (-0.013; P < 0.001) counts. The BKMR model revealed that combined exposure to VOCs levels ≥70th percentile was significantly associated with lower RBC counts, and BMA was identified as the dominant contributor. Smoking significantly influenced the relationship between VOCs and hematological parameters. CONCLUSIONS Our study indicated the effects of single and overall VOCs exposure on hematological parameters and suggested the hematotoxicity as well as pro-inflammatory effects of VOCs, which had strong public health implications for reducing the potential health hazards of VOCs exposure to the hematologic system.
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Affiliation(s)
- Yan Zhuang
- Department of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Laifu Li
- Department of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Yanqi Zhang
- Department of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Xuna Liu
- Department of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Beibei Zeng
- Department of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Boxu Zhu
- Department of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Fei Dai
- Department of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
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He Y, Qiu H, Wang W, Lin Y, Ho KF. Exposure to BTEX is associated with cardiovascular disease, dyslipidemia and leukocytosis in national US population. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 919:170639. [PMID: 38316304 DOI: 10.1016/j.scitotenv.2024.170639] [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: 08/18/2023] [Revised: 01/18/2024] [Accepted: 01/31/2024] [Indexed: 02/07/2024]
Abstract
BACKGROUND Comprehensive research on the effects of individual benzene, toluene, ethylbenzene, and xylenes (BTEX) and their mixture measured in blood samples, on cardiovascular diseases (CVD) and related risk factors among the general population is limited. OBJECTIVES To investigate the effects of blood individual and mixed BTEX on total CVD and its subtypes, lipid profiles, and white blood cell (WBC) count. METHODS Survey-weighted multivariate logistic regression was used to examine the associations between blood individual and mixed BTEX with CVD and its subtypes in 17,007 participants from NHANES 1999-2018. The combined effect of BTEX mixture on CVD was estimated using weighted quantile sum modeling and quantile g-computation. Weighted multivariate linear regression assessed the effects of BTEX on lipid profiles and WBC, including its five-part differential count. RESULTS In comparison to the reference quartile of BTEX mixture, individuals in the highest quartile had a significantly increased adjusted odds ratio of CVD risk (1.64, 95 % CI: 1.23 to 2.19, P for trend = 0.008). Positive associations were observed for benzene, toluene, ethylbenzene, and m-/p-xylene, demonstrating a monotonically increasing exposure-response relationship. Mixed BTEX was associated with congestive heart failure (CHF), angina pectoris, and heart attack. Individual benzene, toluene, and ethylbenzene were associated with CHF, while toluene, ethylbenzene, and all xylene isomers were linked to angina pectoris. Benzene, toluene, and o-xylene were associated with heart attack. Both mixed and individual BTEX showed positive associations with triglycerides, cholesterol, low-density lipoprotein, and WBC, including its five-part differential count, but a negative relationship with high-density lipoprotein. Subgroup analyses identified modifying effects of smoking, drinking, exercise, BMI, hypertension, and diabetes on the associations between specific toxicants and CVD risk. CONCLUSIONS Exposure to BTEX was associated with cardiovascular diseases and cardiovascular risk factors. These findings emphasize the importance of considering blood BTEX levels when assessing cardiovascular health risks.
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Affiliation(s)
- Yansu He
- JC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Hong Qiu
- JC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Wenqiao Wang
- Department of Clinical Nutrition, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Yong Lin
- Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, HKSAR, China
| | - Kin Fai Ho
- JC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China; Institute of Environment, Energy and Sustainability, The Chinese University of Hong Kong, HKSAR, China.
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Chen Q, Deng Q, Liu Y, Long Z, Li S, Liu Q, Lv Y, Qin J, Yang A, Huang Y, Tan Z, Wang D, Xing X, Xiao Y. Co-exposure of petrochemical workers to noise and mixture of benzene, toluene, ethylbenzene, xylene, and styrene: Impact on mild renal impairment and interaction. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 346:123628. [PMID: 38395129 DOI: 10.1016/j.envpol.2024.123628] [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: 11/02/2023] [Revised: 01/30/2024] [Accepted: 02/20/2024] [Indexed: 02/25/2024]
Abstract
Epidemiological evidence concerning effects of simultaneous exposure to noise and benzene, toluene, ethylbenzene, xylene, and styrene (BTEXS) on renal function remains uncertain. In 2020, a cross-sectional study was conducted among 1160 petrochemical workers in southern China to investigate effects of their co-exposure on estimated glomerular filtration rate (eGFR) and mild renal impairment (MRI). Noise levels were assessed using cumulative noise exposure (CNE). Urinary biomarkers for BTEXS were quantified. We found the majority of workers had exposure levels to noise and BTEXS below China's occupational exposure limits. CNE, trans, trans-muconic acid (tt-MA), and the sum of mandelic acid and phenylglyoxylic acid (PGMA) were linearly associated with decreased eGFR and increased MRI risk. We observed U-shaped associations for both N-acetyl-S-phenyl-L-cysteine (SPMA) and o-methylhippuric acid (2-MHA) with MRI. In further assessing the joint effect of BTEXS (β, -0.164 [95% CI, -0.296 to -0.033]) per quartile increase in all BTEXS metabolites on eGFR using quantile g-computation models, we found SPMA, tt-MA, 2-MHA, and PGMA played pivotal roles. Additionally, the risk of MRI associated with tt-MA was more pronounced in workers with lower CNE levels (P = 0.004). Multiplicative interaction analysis revealed antagonisms of CNE and PGMA on MRI risk (P = 0.034). Thus, our findings reveal negative dose-effect associations between noise and BTEXS mixture exposure and renal function in petrochemical workers. With the exception of toluene, benzene, xylene, ethylbenzene, and styrene are all concerning pollutants for renal dysfunction. Effects of benzene, ethylbenzene, and styrene exposure on renal dysfunction were more pronounced in workers with lower CNE.
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Affiliation(s)
- Qingfei Chen
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, No. 74 Zhongshan Road 2, Guangzhou, 510080, Guangdong, China; Joint International Research Laboratory of Environment and Health, Ministry of Education, School of Public Health, Sun Yat-sen University, No. 74 Zhongshan Road 2, Guangzhou, 510080, Guangdong, China
| | - Qifei Deng
- School of Public Health, Guangzhou Medical University, Xinzao Town, Panyu District, Guangzhou, 511436, Guangdong, China
| | - Yan Liu
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, No. 74 Zhongshan Road 2, Guangzhou, 510080, Guangdong, China
| | - Zihao Long
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, No. 74 Zhongshan Road 2, Guangzhou, 510080, Guangdong, China
| | - Shuangqi Li
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, No. 74 Zhongshan Road 2, Guangzhou, 510080, Guangdong, China
| | - Qing Liu
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, No. 74 Zhongshan Road 2, Guangzhou, 510080, Guangdong, China
| | - Yanrong Lv
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, No. 74 Zhongshan Road 2, Guangzhou, 510080, Guangdong, China
| | - Jingyao Qin
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, No. 74 Zhongshan Road 2, Guangzhou, 510080, Guangdong, China
| | - Aichu Yang
- Guangdong Provincial Key Laboratory of Occupational Disease Prevention and Treatment, Guangdong Province Hospital for Occupational Disease Prevention and Treatment, No. 68 Haikang Street, Guangzhou, 510300, Guangdong, China
| | - Yongshun Huang
- Guangdong Provincial Key Laboratory of Occupational Disease Prevention and Treatment, Guangdong Province Hospital for Occupational Disease Prevention and Treatment, No. 68 Haikang Street, Guangzhou, 510300, Guangdong, China
| | - Zhaoqing Tan
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, No. 74 Zhongshan Road 2, Guangzhou, 510080, Guangdong, China
| | - Dongsheng Wang
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, No. 74 Zhongshan Road 2, Guangzhou, 510080, Guangdong, China
| | - Xiumei Xing
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, No. 74 Zhongshan Road 2, Guangzhou, 510080, Guangdong, China; Joint International Research Laboratory of Environment and Health, Ministry of Education, School of Public Health, Sun Yat-sen University, No. 74 Zhongshan Road 2, Guangzhou, 510080, Guangdong, China
| | - Yongmei Xiao
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, No. 74 Zhongshan Road 2, Guangzhou, 510080, Guangdong, China; Joint International Research Laboratory of Environment and Health, Ministry of Education, School of Public Health, Sun Yat-sen University, No. 74 Zhongshan Road 2, Guangzhou, 510080, Guangdong, China.
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Umićević N, Kotur-Stevuljević J, Baralić K, Đukić-Ćosić D, Miljaković EA, Đorđević AB, Ćurčić M, Bulat Z, Antonijević B. Increased oxidative stress in shoe industry workers with low-level exposure to a mixture of volatile organic compounds. Arh Hig Rada Toksikol 2024; 75:51-60. [PMID: 38548382 PMCID: PMC10978162 DOI: 10.2478/aiht-2024-75-3804] [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] [Received: 11/01/2023] [Revised: 11/01/2023] [Accepted: 02/01/2024] [Indexed: 04/01/2024] Open
Abstract
This study aimed to assess the redox status and trace metal levels in 49 shoe industry workers (11 men and 38 women) occupationally exposed to a mixture of volatile organic compounds (VOCs), which includes aliphatic hydrocarbons, aromatic hydrocarbons, ketones, esters, ethers, and carboxylic acids. All measured VOCs were below the permitted occupational exposure limits. The control group included 50 unexposed participants (25 men and 25 women). The following plasma parameters were analysed: superoxide anion (O2 •-), advanced oxidation protein products (AOPP), total oxidative status (TOS), prooxidant-antioxidant balance (PAB), oxidative stress index (OSI), superoxide dismutase (SOD) and paraoxonase-1 (PON1) enzyme activity, total SH group content (SHG), and total antioxidant status (TAS). Trace metal levels (copper, zinc, iron, magnesium, and manganese) were analysed in whole blood. All oxidative stress and antioxidative defence parameters were higher in the exposed workers than controls, except for PON1 activity. Higher Fe, Mg, and Zn, and lower Cu were observed in the exposed vs control men, while the exposed women had higher Fe and lower Mg, Zn, and Cu than their controls. Our findings confirm that combined exposure to a mixture of VOCs, even at permitted levels, may result in additive or synergistic adverse health effects and related disorders. This raises concern about current risk assessments, which mainly rely on the effects of individual chemicals, and calls for risk assessment approaches that can explain combined exposure to multiple chemicals.
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Affiliation(s)
- Nina Umićević
- University of Banja Luka Faculty of Medicine, Department of Toxicology, Banja Luka, Bosnia and Herzegovina
- University of Belgrade Faculty of Pharmacy, Department of Toxicology “Akademik Danilo Soldatović”, Belgrade, Serbia
| | - Jelena Kotur-Stevuljević
- University of Belgrade Faculty of Pharmacy, Department of Medical Biochemistry, Belgrade, Serbia
| | - Katarina Baralić
- University of Belgrade Faculty of Pharmacy, Department of Toxicology “Akademik Danilo Soldatović”, Belgrade, Serbia
| | - Danijela Đukić-Ćosić
- University of Banja Luka Faculty of Medicine, Department of Toxicology, Banja Luka, Bosnia and Herzegovina
- University of Belgrade Faculty of Pharmacy, Department of Toxicology “Akademik Danilo Soldatović”, Belgrade, Serbia
| | - Evica Antonijević Miljaković
- University of Belgrade Faculty of Pharmacy, Department of Toxicology “Akademik Danilo Soldatović”, Belgrade, Serbia
| | - Aleksandra Buha Đorđević
- University of Belgrade Faculty of Pharmacy, Department of Toxicology “Akademik Danilo Soldatović”, Belgrade, Serbia
| | - Marijana Ćurčić
- University of Belgrade Faculty of Pharmacy, Department of Toxicology “Akademik Danilo Soldatović”, Belgrade, Serbia
| | - Zorica Bulat
- University of Belgrade Faculty of Pharmacy, Department of Toxicology “Akademik Danilo Soldatović”, Belgrade, Serbia
| | - Biljana Antonijević
- University of Banja Luka Faculty of Medicine, Department of Toxicology, Banja Luka, Bosnia and Herzegovina
- University of Belgrade Faculty of Pharmacy, Department of Toxicology “Akademik Danilo Soldatović”, Belgrade, Serbia
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Duan X, Chen Z, Xia C, Zhong R, Liu L, Long L. Increased Levels of Urine Volatile Organic Compounds Are Associated With Diabetes Risk and Impaired Glucose Homeostasis. J Clin Endocrinol Metab 2024; 109:e531-e542. [PMID: 37793167 DOI: 10.1210/clinem/dgad584] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 09/26/2023] [Accepted: 09/29/2023] [Indexed: 10/06/2023]
Abstract
CONTEXT Volatile organic compounds (VOCs) are pervasive environmental pollutants that have been linked to various adverse health effects. However, the effect of ambient VOCs, whether individually or in mixtures, on diabetes remains uncertain and requires further investigation. OBJECTIVE This study investigates the effects of ambient VOCs exposure, whether single or mixed, on diabetes mellitus and glucose homeostasis in the general population. METHODS Urinary concentrations of VOC metabolites were obtained from the National Health and Nutrition Examination Survey. Survey-weighted logistic regression and generalized linear regression were used to explore the associations between individual VOC exposure and diabetes risk and glucose homeostasis indicators, respectively. Weighted quantile sum (WQS) regression models were applied to assess the combined effects of VOC mixtures. RESULTS Out of 8468 participants, 1504 had diabetes mellitus. Eight VOC metabolites showed positive associations with diabetes mellitus (OR, 1.15-1.43; all P < .05), insulin resistance (IR) (OR, 1.02-1.06; P < .05), and other glucose homeostasis indicators (β, 0.04-2.32; all P < .05). Mixed VOC models revealed positive correlations between the WQS indices and diabetes risk (OR = 1.52; 95% CI, 1.29-1.81), IR (OR = 1.36; 95% CI, 1.14-1.62), and other glucose homeostasis indicators (β, 0.17-2.22; all P < .05). CONCLUSION Urinary metabolites of ambient VOCs are significantly associated with an increased diabetes risk and impaired glucose homeostasis. Thus, primary prevention policies aimed at reducing ambient VOCs could attenuate diabetes burden.
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Affiliation(s)
- Xiaoxia Duan
- Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China
| | - Zhenhua Chen
- Department of Microbiology Laboratory, Chengdu Municipal Center for Disease Control and Prevention, Chengdu 610031, China
| | - Congying Xia
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Rong Zhong
- Department of Epidemiology and Health Statistics, School of Public Health, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Li Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Guangdong Pharmaceutical University, Guangzhou 510310, China
| | - Lu Long
- Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China
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Debarba LK, Jayarathne HSM, Stilgenbauer L, Terra Dos Santos AL, Koshko L, Scofield S, Sullivan R, Mandal A, Klueh U, Sadagurski M. Microglial NF-κB Signaling Deficiency Protects Against Metabolic Disruptions Caused by Volatile Organic Compound via Modulating the Hypothalamic Transcriptome. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.08.566279. [PMID: 38014216 PMCID: PMC10680567 DOI: 10.1101/2023.11.08.566279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
Prolonged exposure to benzene, a prevalent volatile organic compound (VOC), at concentrations found in smoke, triggers hyperglycemia, and inflammation in mice. Corroborating this with existing epidemiological data, we show a strong correlation between environmental benzene exposure and metabolic impairments in humans. To uncover the underlying mechanisms, we employed a controlled exposure system and continuous glucose monitoring (CGM), revealing rapid blood glucose surges and disturbances in energy homeostasis in mice. These effects were attributed to alterations in the hypothalamic transcriptome, specifically impacting insulin and immune response genes, leading to hypothalamic insulin resistance and neuroinflammation. Moreover, benzene exposure activated microglial transcription characterized by heightened expression of IKKβ/NF-κB-related genes. Remarkably, selective removal of IKKβ in immune cells or adult microglia in mice alleviated benzene-induced hypothalamic gliosis, and protected against hyperglycemia. In summary, our study uncovers a crucial pathophysiological mechanism, establishing a clear link between airborne toxicant exposure and the onset of metabolic diseases.
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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: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [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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Cakmak S, Mitchell K, Lukina A, Dales R. Do blood metals influence lipid profiles? Findings of a cross-sectional population-based survey. ENVIRONMENTAL RESEARCH 2023; 231:116107. [PMID: 37187310 DOI: 10.1016/j.envres.2023.116107] [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: 03/15/2023] [Revised: 05/09/2023] [Accepted: 05/10/2023] [Indexed: 05/17/2023]
Abstract
Dyslipidemia, an imbalance of lipids and a major risk factor for cardiovascular disease, has been associated with elevated blood and urine levels of several heavy metals. Using data from a Canadian Health Measures Survey (CHMS), we tested associations between blood levels of cadmium, copper, mercury, lead, manganese, molybdenum, nickel, selenium, and zinc, and the lipids triglycerides (TG), total cholesterol (TC), low density lipoproteins (LDL), high density lipoproteins (HDL) and apolipoproteins A1 (APO A1), and B (APO B). All adjusted associations between single metals and lipids were positive and significant, except for APO A1 and HDL. The joint effect of an interquartile range increase in heavy metals was positively associated with percentage increases of TC, LDL and APO B of 8.82% (95%CI: 7.06, 10.57), 7.01% (95%CI: 2.51, 11.51) and 7.15% (95%CI: 0.51, 13.78), respectively. Future studies are warranted to determine if reducing environmental exposure to heavy metals favorably influences lipid profiles and the risk of cardiovascular disease.
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Affiliation(s)
- Sabit Cakmak
- Population Studies Division, Environmental Health Science and Research Bureau, Health Canada, Ottawa, Ontario, Canada
| | - Kimberly Mitchell
- Population Studies Division, Environmental Health Science and Research Bureau, Health Canada, Ottawa, Ontario, Canada
| | - Anna Lukina
- Population Studies Division, Environmental Health Science and Research Bureau, Health Canada, Ottawa, Ontario, Canada
| | - Robert Dales
- Population Studies Division, Environmental Health Science and Research Bureau, Health Canada, Ottawa, Ontario, Canada.
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27
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Yu L, Liu W, Zhou M, Yang S, Tan Q, Fan L, Wang B, Chen W. Long-term effect of styrene and ethylbenzene exposure on fasting plasma glucose: A gene-environment interaction study. JOURNAL OF HAZARDOUS MATERIALS 2023; 452:131346. [PMID: 37030230 DOI: 10.1016/j.jhazmat.2023.131346] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Revised: 03/16/2023] [Accepted: 04/01/2023] [Indexed: 05/03/2023]
Abstract
Styrene and ethylbenzene (S/EB) are hazardous pollutants that have attracted worldwide concern. In this prospective cohort study, S/EB exposure biomarker (the sum of mandelic acid and phenylglyoxylic acid [MA+PGA]) and fasting plasma glucose (FPG) were repeatedly measured three times. The polygenic risk score (PRS) based on 137 single nucleotide polymorphisms for type 2 diabetes mellitus (T2DM) was calculated to evaluate cumulative genetic effect. In repeated-measures cross-sectional analyses, MA+PGA (β [95% confidence interval]: 0.106 [0.022, 0.189]) and PRS (0.111 [0.047, 0.176]) were significantly related to FPG. For long-term effect assessment, participants with sustained high MA+PGA or with high PRS had 0.021 (95% CI: -0.398, 0.441) or 0.465 (0.064, 0.866) mmol/L increase in FPG, respectively, over 3 years follow-up, and had 0.256 (0.017, 0.494) or 0.265 (0.004, 0.527) mmol/L increase in FPG, respectively, over 6 years follow-up. We further detected a significant interaction effect between MA+PGA and PRS on FPG change, compared with participants with sustained low MA+PGA and low PRS, those with sustained high MA+PGA and high PRS had 0.778 (0.319, 1.258) mmol/L increase in FPG (P for interaction=0.028) over 6 years follow-up. Our study provides the first evidence that long-term exposure to S/EB potentially increases FPG, which might be aggravated by genetic susceptibility.
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Affiliation(s)
- 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
| | - 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
| | - Min Zhou
- 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
| | - Shijie Yang
- Hubei Provincial Center for Disease Control and Prevention, Wuhan, China
| | - Qiyou Tan
- 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
| | - Lieyang Fan
- 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.
| | - 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.
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28
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Chen S, Wan Y, Qian X, Wang A, Mahai G, Li Y, Xu S, Xia W. Urinary metabolites of multiple volatile organic compounds, oxidative stress biomarkers, and gestational diabetes mellitus: Association analyses. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 875:162370. [PMID: 36842580 DOI: 10.1016/j.scitotenv.2023.162370] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 02/17/2023] [Accepted: 02/17/2023] [Indexed: 06/18/2023]
Abstract
Volatile organic compounds are ubiquitous in the environment, which may cause various adverse health effects. The objectives of this study were to investigate associations of single and mixture of urinary metabolites of volatile organic compounds (mVOCs) with gestational diabetes mellitus (GDM) risk, and examine the possible role of oxidative stress in the associations. This nested case-control study included 454 GDM cases and 454 healthy controls matched by maternal age and infant sex. Urinary concentrations of twenty-one mVOCs and three oxidative stress biomarkers (including 8-OHdG, 8-OHG, and HNEMA), in early pregnancy were measured. Analyses using logistic regression model showed that an interquartile range increase in urinary concentrations of six individual mVOCs (ATCA, BPMA, CEMA, 3HPMA, MU, and TGA) were significantly associated with increased odds of GDM by 19-27%. Weighted quantile sum regression analyses showed that in each quartile increment of the mixture of mVOCs, the odds of GDM increased by 39% (95% CI: 16%, 67%), with 2-aminothiazoline-4-carboxylic acid weighted the most in the associations (weight: 25%). Furthermore, significant associations of the oxidative stress biomarkers with both GDM and certain mVOCs were observed. These results suggested that certain urinary mVOCs (correspondingly, the parent VOCs such as 1-bromopropane, cyanide, and benzene should be concerned as priority ones for regulation and policy making) in early pregnancy were significantly associated with elevated GDM incidence, and the associations were potentially related with oxidative stress biomarkers.
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Affiliation(s)
- Silan Chen
- Key Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China.
| | - Yanjian Wan
- Institute of Environmental Health, Wuhan Centers for Disease Control & Prevention, Wuhan, Hubei 430024, PR China.
| | - Xi Qian
- Key Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China.
| | - Aizhen Wang
- Key Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China.
| | - Gaga Mahai
- Key Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China.
| | - Yuanyuan Li
- Key Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China.
| | - Shunqing Xu
- Key Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China.
| | - Wei Xia
- Key Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China.
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29
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Wahlang B, Gao H, Rai SN, Keith RJ, McClain CJ, Srivastava S, Cave MC, Bhatnagar A. Associations between residential volatile organic compound exposures and liver injury markers: The role of biological sex and race. ENVIRONMENTAL RESEARCH 2023; 221:115228. [PMID: 36610539 PMCID: PMC9957966 DOI: 10.1016/j.envres.2023.115228] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 12/27/2022] [Accepted: 01/03/2023] [Indexed: 05/28/2023]
Abstract
While occupational exposures to volatile organic compounds (VOCs) have been linked to steatohepatitis and liver cancer in industrial workers, recent findings have also positively correlated low-dose, residential VOC exposures with liver injury markers. VOC sources are numerous; factors including biological make up (sex), socio-cultural constructs (gender, race) and lifestyle (smoking) can influence both VOC exposure levels and disease outcomes. Therefore, the current study's objective is to investigate how sex and race influence associations between residential VOC exposures and liver injury markers particularly in smokers vs. nonsmokers. Subjects (n = 663) were recruited from residential neighborhoods; informed consent was obtained. Exposure biomarkers included 16 urinary VOC metabolites. Serological disease biomarkers included liver enzymes, direct bilirubin, and hepatocyte death markers (cytokeratin K18). Pearson correlations and generalized linear models were conducted. Models were adjusted for common liver-related confounders and interaction terms. The study population constituted approximately 60% females (n = 401) and 40% males (n = 262), and a higher percent of males were smokers and/or frequent drinkers. Both sexes had a higher percent of White (75% females, 82% males) vs. Black individuals. Positive associations were identified for metabolites of acrolein, acrylamide, acrylonitrile, butadiene, crotonaldehyde, and styrene with alkaline phosphatase (ALP), a biomarker for cholestatic injury; and for the benzene metabolite with bilirubin; only in females. These associations were retained in female smokers. Similar associations were also observed between these metabolites and ALP only in White individuals (n = 514). In Black individuals (n = 114), the styrene metabolite was positively associated with aspartate transaminase. Interaction models indicated that positive associations for acrylamide/crotonaldehyde metabolites with ALP in females were dose-dependent. Most VOC associations with K18 markers were negative in this residential population. Overall, the findings demonstrated that biological sex, race, and smoking status influence VOC effects on liver injury and underscored the role of biological-social-lifestyle factor(s) interactions when addressing air pollution-related health disparities.
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Affiliation(s)
- Banrida Wahlang
- Superfund Research Center, University of Louisville, Louisville, KY, 40202, USA; Division of Gastroenterology, Hepatology & Nutrition, Department of Medicine, School of Medicine, University of Louisville, Louisville, KY, 40202, USA; The Center for Integrative Environmental Health Sciences, University of Louisville, Louisville, KY, 40202, USA; The Hepatobiology and Toxicology Center, University of Louisville, Louisville, KY, 40202, USA.
| | - Hong Gao
- Superfund Research Center, University of Louisville, Louisville, KY, 40202, USA; Envirome Institute, University of Louisville, Louisville, KY, 40202, USA; Division of Environmental Medicine, Department of Medicine, School of Medicine, University of Louisville, Louisville, KY, 40202, USA
| | - Shesh N Rai
- Division of Biostatistics and Bioinformatics, Department of Environmental and Public Health Sciences, College of Medicine, University of Cincinnati, Cincinnati, OH, 45267, USA; Cancer Data Science Center, Biostatistics and Informatics Shared Resource, College of Medicine, University of Cincinnati, Cincinnati, OH, 45267, USA
| | - Rachel J Keith
- Superfund Research Center, University of Louisville, Louisville, KY, 40202, USA; Envirome Institute, University of Louisville, Louisville, KY, 40202, USA; Division of Environmental Medicine, Department of Medicine, School of Medicine, University of Louisville, Louisville, KY, 40202, USA
| | - Craig J McClain
- Superfund Research Center, University of Louisville, Louisville, KY, 40202, USA; Division of Gastroenterology, Hepatology & Nutrition, Department of Medicine, School of Medicine, University of Louisville, Louisville, KY, 40202, USA; The Center for Integrative Environmental Health Sciences, University of Louisville, Louisville, KY, 40202, USA; Department of Pharmacology & Toxicology, School of Medicine, University of Louisville, Louisville, KY, 40202, USA; The Hepatobiology and Toxicology Center, University of Louisville, Louisville, KY, 40202, USA; Alcohol Research Center, University of Louisville, Louisville, KY, 40202, USA
| | - Sanjay Srivastava
- Superfund Research Center, University of Louisville, Louisville, KY, 40202, USA; Envirome Institute, University of Louisville, Louisville, KY, 40202, USA; Division of Environmental Medicine, Department of Medicine, School of Medicine, University of Louisville, Louisville, KY, 40202, USA; Department of Pharmacology & Toxicology, School of Medicine, University of Louisville, Louisville, KY, 40202, USA; Department of Biochemistry and Molecular Genetics, School of Medicine, University of Louisville, Louisville, KY, 40202, USA
| | - Mathew C Cave
- Superfund Research Center, University of Louisville, Louisville, KY, 40202, USA; Division of Gastroenterology, Hepatology & Nutrition, Department of Medicine, School of Medicine, University of Louisville, Louisville, KY, 40202, USA; The Center for Integrative Environmental Health Sciences, University of Louisville, Louisville, KY, 40202, USA; Department of Pharmacology & Toxicology, School of Medicine, University of Louisville, Louisville, KY, 40202, USA; The Hepatobiology and Toxicology Center, University of Louisville, Louisville, KY, 40202, USA; Alcohol Research Center, University of Louisville, Louisville, KY, 40202, USA; Department of Biochemistry and Molecular Genetics, School of Medicine, University of Louisville, Louisville, KY, 40202, USA
| | - Aruni Bhatnagar
- Superfund Research Center, University of Louisville, Louisville, KY, 40202, USA; The Center for Integrative Environmental Health Sciences, University of Louisville, Louisville, KY, 40202, USA; Envirome Institute, University of Louisville, Louisville, KY, 40202, USA; Division of Environmental Medicine, Department of Medicine, School of Medicine, University of Louisville, Louisville, KY, 40202, USA; Department of Pharmacology & Toxicology, School of Medicine, University of Louisville, Louisville, KY, 40202, USA; Department of Biochemistry and Molecular Genetics, School of Medicine, University of Louisville, Louisville, KY, 40202, USA
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30
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Li M, Wan Y, Qian X, Wang A, Mahai G, He Z, Li Y, Xu S, Xia W. Urinary metabolites of multiple volatile organic compounds among pregnant women across pregnancy: Variability, exposure characteristics, and associations with selected oxidative stress biomarkers. ENVIRONMENT INTERNATIONAL 2023; 173:107816. [PMID: 36805810 DOI: 10.1016/j.envint.2023.107816] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Revised: 02/08/2023] [Accepted: 02/09/2023] [Indexed: 06/18/2023]
Abstract
Volatile organic compounds (VOCs) are a group of pollutants pervasive in daily life with identified adverse health effects. However, no study has investigated the variability in VOC metabolites during pregnancy and their relationships with oxidative stress biomarkers in pregnant women. In the present study, the variability of 21 selected VOC metabolites was examined and their relationships with three selected oxidative stress biomarkers measured in spot urine samples at three trimesters of 1094 pregnant women were analyzed. Nineteen VOC metabolites were ubiquitous in the urine samples with detection rates ranging from 75.9% to 100%. Monohydroxybutenyl mercapturic acid (MHBMA) and s-phenyl mercapturic acid (PMA) had detection rates lower than 1.00%. Intraclass correlation coefficients (ICCs) of the detected analytes at three trimesters ranged 0.07-0.24, and the concentrations were highest in the first trimester. Higher concentrations of some VOC metabolites were related with participant characteristics including higher pre-pregnancy body mass index (BMI), lower education level, unemployment during pregnancy, multiparity, and sampling season of summer or winter. In repeated cross-sectional analyses, interquartile range (IQR) increases in the 19 detected VOC metabolites were positively related with 8-hydroxy-2'-deoxyguanosine (8-OHdG), 8-hydroxyguanosine (8-OHG), and 4-hydroxy nonenal mercapturic acid (HNEMA) with the estimates ranging from 9.00% to 204%. The mixture effect of the VOC metabolites on the oxidative stress biomarkers was further assessed using weighted quantile sum regression (WQS) models and the results showed that the WQS index of VOC metabolite mixture was significantly associated with 8-OHdG (β: 0.37, 0,32, and 0.39 at the 1st, 2nd, and 3rd trimester, respectively), 8-OHG (0.38, 0.32, and 0.39) and HNEMA (1.21, 1.08, and 1.10). Glycidamide mercapturic acid (GAMA), and trans,trans-muconic acid (MU) were the strongest contributors of the mixture effect on 8-OHdG, 8-OHG, and HNEMA, respectively. Overall, urinary concentrations of the VOC metabolites during pregnancy were strongly associated with the oxidative stress biomarkers.
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Affiliation(s)
- Mei Li
- Key Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China.
| | - Yanjian Wan
- Institute of Environmental Health, Wuhan Centers for Disease Control & Prevention, Wuhan, Hubei 430024, PR China.
| | - Xi Qian
- Key Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China.
| | - Aizhen Wang
- Key Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China.
| | - Gaga Mahai
- Key Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China.
| | - Zhenyu He
- Institute of Environmental Health, Wuhan Centers for Disease Control & Prevention, Wuhan, Hubei 430024, PR China.
| | - Yuanyuan Li
- Key Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China.
| | - Shunqing Xu
- Key Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China.
| | - Wei Xia
- Key Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China.
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31
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Owusu BA, Lim A, Pongsiri N, Intawong C, Rheanpumikankit S, Suksri S, Ingviya T. Latent Trajectories of Haematological, Hepatic, and Renal Profiles after Oil Spill Exposure: A Longitudinal Analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:2871. [PMID: 36833568 PMCID: PMC9956276 DOI: 10.3390/ijerph20042871] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 01/15/2023] [Accepted: 01/28/2023] [Indexed: 06/18/2023]
Abstract
Exposure to polycyclic aromatic hydrocarbons (PAHs) and volatile organic compounds (VOCs) in crude oil has carcinogenic effects on various organ systems. This longitudinal cohort study examined the effects of oil spill exposure on the haematological, hepatic, and renal profiles of Rayong oil spill clean-up workers. The sample included 869 clean-up workers from the Rayong oil spill. Latent class mixture models were used to investigate and classify the longitudinal trajectories and trends of the haematological, hepatic, and renal indices. Subgroup analysis was used to evaluate the association between the urinary metabolites of PAHs and VOCs and haematological, hepatic, and renal parameters. Most clean-up workers (97.6%) had increasing levels of white blood cells (WBCs) (0.03 × 103 cells/µL), 94.90% of the workers had a significantly increasing trend of blood urea nitrogen (0.31 mg/dL per year), and 87.20% had a significantly increasing trend of serum creatinine (0.01 mg/dL per year). A high-decreasing trend of WBCs was seen in 2.42% (-0.73 × 103 per year). Post-exposure changes in haematological, renal, and hepatic profiles are present in workers exposed to the Rayong oil spill. This indicates possible long-term health complications and worsening renal function after exposure to PAHs and VOCs in crude oil.
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Affiliation(s)
- Benjamin Atta Owusu
- Department of Mathematics and Computer Science, Faculty of Science and Technology, Prince of Songkla University, Pattani Campus, Pattani 94000, Thailand
- Multidisciplinary Research and Innovation Centre, Kumasi AOK569, Ghana
- Air Pollution and Health Effect Research Center, Prince of Songkla University, Hat Yai Campus, Songkhla 90110, Thailand
- Division of Digital Innovation and Data Analytics, Faculty of Medicine, Prince of Songkla University, Hat Yai Campus, Songkhla 90110, Thailand
| | - Apiradee Lim
- Department of Mathematics and Computer Science, Faculty of Science and Technology, Prince of Songkla University, Pattani Campus, Pattani 94000, Thailand
- Air Pollution and Health Effect Research Center, Prince of Songkla University, Hat Yai Campus, Songkhla 90110, Thailand
| | - Nitinun Pongsiri
- Department of Mathematics and Computer Science, Faculty of Science and Technology, Prince of Songkla University, Pattani Campus, Pattani 94000, Thailand
- Multidisciplinary Research and Innovation Centre, Kumasi AOK569, Ghana
| | - Chanthip Intawong
- Occupational Medicine Department, Rayong Hospital, Rayong 21000, Thailand
| | | | - Saijit Suksri
- Rayong Provincial Public Health Office, Rayong 21000, Thailand
| | - Thammasin Ingviya
- Air Pollution and Health Effect Research Center, Prince of Songkla University, Hat Yai Campus, Songkhla 90110, Thailand
- Division of Digital Innovation and Data Analytics, Faculty of Medicine, Prince of Songkla University, Hat Yai Campus, Songkhla 90110, Thailand
- Department of Family and Preventive Medicine, Faculty of Medicine, Prince of Songkla University, Hat Yai Campus, Songkhla 90110, Thailand
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32
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Liu W, Cao S, Ma J, Shi D, Yu L, Ye Z, Yang M, Wang B, Chen W. Exposures to volatile organic compounds, serum vitamin D, and kidney function: association and interaction assessment in the US adult population. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:7605-7616. [PMID: 36044140 DOI: 10.1007/s11356-022-22637-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 08/17/2022] [Indexed: 06/15/2023]
Abstract
The relationships of exposures to volatile organic compounds (VOCs) with vitamin D and kidney function remain unclear. Our analyses included 6070 adults from 2003 to 2010 survey cycles of the National Health and Nutrition Examination Survey to explore associations of six VOCs with serum vitamin D, albumin-to-creatinine ratio (ACR), and estimated glomerular filtration rate (eGFR). The results suggested that dibromochloromethane was positively associated with ACR, and chloroform was inversely associated with ACR. U-shaped associations of toluene, m-/p-xylene, bromodichloromethane, and 1,4-dichlorobenzene with ACR were observed. Toluene, m-/p-xylene, and 1,4-dichlorobenzene were associated with eGFR in U-shaped manners, while bromodichloromethane and chloroform were inversely associated with eGFR. Elevation in 1,4-dichlorobenzene was associated with decrease in vitamin D, while chloroform and m-/p-xylene were in U-shaped associations with vitamin D. VOCs mixture was U-shaped associated with ACR, inversely associated with eGFR, and inversely associated with vitamin D. Vitamin D was in a U-shaped association with ACR. Vitamin D significantly interacted with VOCs on the two kidney parameters. In the US adult population, exposures to VOCs were associated with kidney function and serum vitamin D level decline, and the serum vitamin D may have interaction effects with VOCs exposures on kidney function.
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Affiliation(s)
- Wei Liu
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Shuting Cao
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Jixuan Ma
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Da Shi
- Food and Human Nutritional Science, Faculty of Agriculture and Food Science, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Linling Yu
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Zi Ye
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Meng Yang
- Wuhan Children's Hospital (Wuhan Maternal and Child Health Care Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430016, Hubei, China.
| | - Bin Wang
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
| | - Weihong Chen
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
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Mendy A, Burcham S, Merianos AL, Mersha TB, Mahabee-Gittens EM, Chen A, Yolton K. Urinary volatile organic compound metabolites and reduced lung function in U.S. adults. Respir Med 2022; 205:107053. [PMID: 36399896 PMCID: PMC9869342 DOI: 10.1016/j.rmed.2022.107053] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 11/07/2022] [Accepted: 11/09/2022] [Indexed: 11/12/2022]
Abstract
BACKGROUND Volatile organic compounds (VOCs) are associated with adverse respiratory outcomes at high occupational exposures. However, whether exposure levels found in the general population have similar effects is unknown. METHODS We analyzed data on 1342 adult participants in the 2011-2012 National Health and Nutrition Examination Survey aged ≥18 years old who had urinary VOC metabolites and spirometry measurements available. Linear regression models adjusting for covariates were fitted to estimate the associations of VOC exposures levels and spirometry outcomes, while accounting for survey design and sampling weights to generate nationally representative estimates. RESULTS The urinary metabolites for xylene, acrylamide, acrolein, 1,3-butadiene, cyanide, toluene, 1-bromopropane, acrylonitrile, propylene oxide, styrene, ethylbenzene, and crotonaldehyde in our analysis were all detected in >75% of participants. Forced expiratory volume in 1 s (FEV1) to forced vital capacity (FVC) ratio % was lower with urinary metabolites of acrylamide (β: -2.65, 95% CI: -4.32, -0.98), acrylonitrile (β: -1.02, 95% CI: -2.01, -0.03), and styrene (β: -3.13, 95% CI: -5.35, -0.90). FEV1% predicted was lower with the urinary metabolites of acrolein (β: -7.77, 95% CI: -13.29, -2.25), acrylonitrile (β: -2.05, 95% CI: -3.77, -0.34), propylene oxide (β: -2.90, 95% CI: -5.50, -0.32), and styrene (β: -4.41, 95% CI: -6.97, -1.85). CONCLUSIONS This is the first study of a representative sample of the U.S. adult population to reveal associations of acrylonitrile, propylene oxide, and styrene urinary metabolites with reduced lung function at non-occupational exposures. Results also support previous evidence of acrylamide and acrolein's association with adverse respiratory outcomes.
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Affiliation(s)
- Angelico Mendy
- Division of Epidemiology, Department of Environmental and Public Health Sciences, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
| | - Sara Burcham
- Division of Epidemiology, Department of Environmental and Public Health Sciences, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Ashley L Merianos
- School of Human Services, University of Cincinnati, Cincinnati, OH, USA
| | - Tesfaye B Mersha
- Division of Asthma Research, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - E Melinda Mahabee-Gittens
- Division of Emergency Medicine, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Aimin Chen
- Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Kimberley Yolton
- General and Community Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA
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Mendy A, Merianos AL, Mersha TB, Mahabee-Gittens EM. Blood volatile organic compounds associated with non-reversible and reversible airflow obstruction in US adults. Eur Respir J 2022; 60:2201185. [PMID: 36202413 PMCID: PMC10191183 DOI: 10.1183/13993003.01185-2022] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 09/25/2022] [Indexed: 01/11/2023]
Affiliation(s)
- Angelico Mendy
- Division of Epidemiology, Department of Environmental and Public Health Sciences, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Ashley L Merianos
- School of Human Services, University of Cincinnati, Cincinnati, OH, USA
| | - Tesfaye B Mersha
- Division of Asthma Research, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - E Melinda Mahabee-Gittens
- Division of Emergency Medicine, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA
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Zhang Z, Liu X, Guo C, Zhang X, Zhang Y, Deng N, Lai G, Yang A, Huang Y, Dang S, Zhu Y, Xing X, Xiao Y, Deng Q. Hematological Effects and Benchmark Doses of Long-Term Co-Exposure to Benzene, Toluene, and Xylenes in a Follow-Up Study on Petrochemical Workers. TOXICS 2022; 10:502. [PMID: 36136467 PMCID: PMC9501893 DOI: 10.3390/toxics10090502] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 08/19/2022] [Accepted: 08/24/2022] [Indexed: 06/16/2023]
Abstract
Benzene, toluene, and xylenes (BTX) commonly co-exist. Exposure to individual components and BTX-rich mixtures can induce hematological effects. However, the hematological effects of long-term exposure to BTX are still unclear, and respective reference levels based on empirical evidence should be developed. We conducted a follow-up study in BTX-exposed petrochemical workers. Long-term exposure levels were quantified by measuring cumulative exposure (CE). Generalized weighted quantile sum (WQS) regression models and Benchmark Dose (BMD) Software were used to evaluate their combined effects and calculate their BMDs, respectively. Many hematologic parameters were significantly decreased at the four-year follow-up (p < 0.05). We found positive associations of CE levels of benzene, toluene, and xylene with the decline in monocyte counts, lymphocyte counts, and hematocrit, respectively (β > 0.010, Ptrend < 0.05). These associations were stronger in subjects with higher baseline parameters, males, drinkers, or overweight subjects (Pinteraction < 0.05). BTX had positive combined effects on the decline in monocyte counts, red-blood-cell counts, and hemoglobin concentrations (Ptrend for WQS indices < 0.05). The estimated BMDs for CE levels of benzene, toluene, and xylene were 2.138, 1.449, and 2.937 mg/m3 × year, respectively. Our study demonstrated the hematological effects of long-term BTX co-exposure and developed 8h-RELs of about 0.01 ppm based on their hematological effects.
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Affiliation(s)
- Zhaorui Zhang
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Xin Liu
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Chaofan Guo
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Xinjie Zhang
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Yingying Zhang
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Na Deng
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Guanchao Lai
- Guangdong Provincial Key Laboratory of Occupational Disease Prevention and Treatment, Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou 510300, China
| | - Aichu Yang
- Guangdong Provincial Key Laboratory of Occupational Disease Prevention and Treatment, Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou 510300, China
| | - Yongshun Huang
- Guangdong Provincial Key Laboratory of Occupational Disease Prevention and Treatment, Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou 510300, China
| | - Shanfeng Dang
- Occupational Disease Prevention and Treatment Institute of Sinopec Maoming Petrochemical Company, Maoming 525000, China
| | - Yanqun Zhu
- Occupational Disease Prevention and Treatment Institute of Sinopec Maoming Petrochemical Company, Maoming 525000, China
| | - Xiumei Xing
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Yongmei Xiao
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Qifei Deng
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
- School of Public Health, Guangzhou Medical University, Guangzhou 511436, China
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Ogbodo JO, Arazu AV, Iguh TC, Onwodi NJ, Ezike TC. Volatile organic compounds: A proinflammatory activator in autoimmune diseases. Front Immunol 2022; 13:928379. [PMID: 35967306 PMCID: PMC9373925 DOI: 10.3389/fimmu.2022.928379] [Citation(s) in RCA: 56] [Impact Index Per Article: 18.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Accepted: 06/30/2022] [Indexed: 11/13/2022] Open
Abstract
The etiopathogenesis of inflammatory and autoimmune diseases, including pulmonary disease, atherosclerosis, and rheumatoid arthritis, has been linked to human exposure to volatile organic compounds (VOC) present in the environment. Chronic inflammation due to immune breakdown and malfunctioning of the immune system has been projected to play a major role in the initiation and progression of autoimmune disorders. Macrophages, major phagocytes involved in the regulation of chronic inflammation, are a major target of VOC. Excessive and prolonged activation of immune cells (T and B lymphocytes) and overexpression of the master pro-inflammatory constituents [cytokine and tumor necrosis factor-alpha, together with other mediators (interleukin-6, interleukin-1, and interferon-gamma)] have been shown to play a central role in the pathogenesis of autoimmune inflammatory responses. The function and efficiency of the immune system resulting in immunostimulation and immunosuppression are a result of exogenous and endogenous factors. An autoimmune disorder is a by-product of the overproduction of these inflammatory mediators. Additionally, an excess of these toxicants helps in promoting autoimmunity through alterations in DNA methylation in CD4 T cells. The purpose of this review is to shed light on the possible role of VOC exposure in the onset and progression of autoimmune diseases.
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Affiliation(s)
- John Onyebuchi Ogbodo
- Department of Science Laboratory Technology, University of Nigeria, Nsukkagu, Enugu State, Nigeria
| | - Amarachukwu Vivan Arazu
- Department of Science Laboratory Technology, University of Nigeria, Nsukkagu, Enugu State, Nigeria
| | - Tochukwu Chisom Iguh
- Department of Plant Science and Biotechnology, University of Nigeria, Nsukka, Enugu State, Nigeria
| | - Ngozichukwuka Julie Onwodi
- Department of Pharmaceutical Technology and Industrial Pharmacy, University of Nigeria, Nsukka, Enugu State, Nigeria
| | - Tobechukwu Christian Ezike
- Department of Biochemistry, University of Nigeria, Nsukka, Enugu State, Nigeria
- *Correspondence: Tobechukwu Christian Ezike,
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Cakmak S, Lukina A, Karthikeyan S, Atlas E, Dales R. The association between blood PFAS concentrations and clinical biochemical measures of organ function and metabolism in participants of the Canadian Health Measures Survey (CHMS). THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 827:153900. [PMID: 35218824 DOI: 10.1016/j.scitotenv.2022.153900] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 02/08/2022] [Accepted: 02/11/2022] [Indexed: 05/26/2023]
Abstract
Per- and poly-fluoroalkyl substances (PFAS) are ubiquitous and may persist in human tissue for several years. Only a small proportion of PFAS have been studied for human health effects. We tested the association between human blood levels of six PFAS and several clinical measures of organ and metabolic function in a nationally representative sample of 6768 participants aged 3-79 years old who participated in the Canadian Health Measures Survey. Cross-sectional associations were assessed by generalized linear mixed models incorporating survey-specific sampling weights. An increase in perfluorooctanoic acid (PFOA) equivalent to the magnitude of its geometric mean (GM) of 2.0 μg/L was associated with percentage (95% CI) increases in serum enzymes reflecting liver function: aspartate aminotransferase (AST) 3.7 (1.1, 6.4), gamma-glutamyl transferase (GGT) 11.8 (2.5, 21.8), alanine aminotransferase (ALT) 3.2 (0.5, 5.9), and bilirubin 3.6 (2.7, 4.5). A GM increase in perfluorodecanoic acid (PFDA) of 0.2 μg/L was positively associated with percentage increases in GGT, triglycerides, low-density lipoprotein (LDL) cholesterol, total cholesterol, and calcium with respective increases of 15.5 (2.2, 30.4), 7.0 (1.0, 13.2), 10.7 (5.5, 16.1), 2.8 (0.2, 5.3), and 0.8 (0.3, 1.3). PFOA, perfluorooctane sulfonate (PFOS), PFDA and perfluorononanoic acid (PFNA) were positively associated with GGT. All six congeners were positively associated with at least one biomarker of lipid metabolism, and 5 of 6, PFOA, PFOS, PFDA, perfluorohexane sulfonate (PFHxS) and PFNA were positively associated with serum calcium. Exposure to selected PFAS is associated with clinical blood tests reflecting metabolism and the function of several organ systems. These relatively small changes may possibly indicate early pathology that is clinically inapparent and may possibly be of significance in a general population or in individuals exposed to very high levels of PFAS.
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Affiliation(s)
- Sabit Cakmak
- Population Studies Division, Environmental Health Science and Research Bureau, Health Canada, Ottawa, Ontario, Canada
| | - Anna Lukina
- Population Studies Division, Environmental Health Science and Research Bureau, Health Canada, Ottawa, Ontario, Canada
| | - Subramanian Karthikeyan
- Population Studies Division, Environmental Health Science and Research Bureau, Health Canada, Ottawa, Ontario, Canada
| | - Ella Atlas
- Hazard Identification Division, Environmental Health Science and Research Bureau, Health Canada, Ottawa, Ontario, Canada
| | - Robert Dales
- Population Studies Division, Environmental Health Science and Research Bureau, Health Canada, Ottawa, Ontario, Canada; University of Ottawa and Ottawa Hospital Research Institute, Canada.
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Haematological, renal, and hepatic function changes among Rayong oil spill clean-up workers: a longitudinal study. Int Arch Occup Environ Health 2022; 95:1481-1489. [DOI: 10.1007/s00420-022-01834-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2021] [Accepted: 01/07/2022] [Indexed: 11/05/2022]
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Wahlang B, Gripshover TC, Gao H, Krivokhizhina T, Keith RJ, Sithu ID, Rai SN, Bhatnagar A, McClain CJ, Srivastava S, Cave MC. Associations Between Residential Exposure to Volatile Organic Compounds and Liver Injury Markers. Toxicol Sci 2021; 185:50-63. [PMID: 34668566 PMCID: PMC8714366 DOI: 10.1093/toxsci/kfab119] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Occupational exposures to volatile organic compounds (VOCs) have been associated with numerous health complications including steatohepatitis and liver cancer. However, the potential impact of environmental/residential VOC exposures on liver health and function is largely unknown. To address this knowledge gap, the objective of this cross-sectional study is to investigate associations between VOCs and liver injury biomarkers in community residents. Subjects were recruited from six Louisville neighborhoods, and informed consent was obtained. Exposure biomarkers included 16 creatinine-adjusted urinary metabolites corresponding to 12 parent VOCs. Serological disease biomarkers measured included cytokertain-18 (K18 M65 and M30), liver enzymes, and direct bilirubin. Associations between exposure and disease biomarkers were assessed using generalized linear models. Smoking status was confirmed through urinary cotinine levels. The population comprised of approximately 60% females and 40% males; White persons accounted 78% of the population; with more nonsmokers (n = 413) than smokers (n = 250). When compared with nonsmokers, males (45%) and Black persons (26%) were more likely to be smokers. In the overall population, metabolites of acrolein, acrylonitrile, acrylamide, 1,3-butadiene, crotonaldehyde, styrene, and xylene were positively associated with alkaline phosphatase. These associations persisted in smokers, with the exception of crotonaldehyde, and addition of N,N-dimethylformamide and propylene oxide metabolites. Although no positive associations were observed for K18 M30, the benzene metabolite was positively associated with bilirubin, irrespective of smoking status. Taken together, the results demonstrated that selected VOCs were positively associated with liver injury biomarkers. These findings will enable better risk assessment and identification of populations vulnerable to liver disease.
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Affiliation(s)
- Banrida Wahlang
- Superfund Research Center, the University of Louisville, Louisville, Kentucky 40202, USA
- Division of Gastroenterology, Hepatology & Nutrition, Department of Medicine, the University of Louisville School of Medicine, Louisville, Kentucky 40202, USA
- The Center for Integrative Environmental Health Sciences, University of Louisville, Louisville, Kentucky 40202, USA
| | - Tyler C Gripshover
- Superfund Research Center, the University of Louisville, Louisville, Kentucky 40202, USA
- Department of Pharmacology & Toxicology, the University of Louisville School of Medicine, Louisville, Kentucky 40202, USA
| | - Hong Gao
- Superfund Research Center, the University of Louisville, Louisville, Kentucky 40202, USA
- Envirome Institute, University of Louisville, Louisville, Kentucky 40202, USA
- Division of Environmental Medicine, Department of Medicine, University of Louisville, Louisville, Kentucky 40202, USA
| | - Tatiana Krivokhizhina
- Superfund Research Center, the University of Louisville, Louisville, Kentucky 40202, USA
- Envirome Institute, University of Louisville, Louisville, Kentucky 40202, USA
- Division of Environmental Medicine, Department of Medicine, University of Louisville, Louisville, Kentucky 40202, USA
| | - Rachel J Keith
- Superfund Research Center, the University of Louisville, Louisville, Kentucky 40202, USA
- Envirome Institute, University of Louisville, Louisville, Kentucky 40202, USA
- Division of Environmental Medicine, Department of Medicine, University of Louisville, Louisville, Kentucky 40202, USA
| | - Israel D Sithu
- Superfund Research Center, the University of Louisville, Louisville, Kentucky 40202, USA
- Envirome Institute, University of Louisville, Louisville, Kentucky 40202, USA
- Division of Environmental Medicine, Department of Medicine, University of Louisville, Louisville, Kentucky 40202, USA
| | - Shesh N Rai
- Superfund Research Center, the University of Louisville, Louisville, Kentucky 40202, USA
- The Center for Integrative Environmental Health Sciences, University of Louisville, Louisville, Kentucky 40202, USA
- Envirome Institute, University of Louisville, Louisville, Kentucky 40202, USA
- Department of Bioinformatics and Biostatistics, the School of Public Health and Information Sciences, the University of Louisville, Louisville, Kentucky 40202, USA
- Biostatistics and Bioinformatics Facility, James Graham Brown Cancer Center, Louisville, Kentucky 40202, USA
| | - Aruni Bhatnagar
- Superfund Research Center, the University of Louisville, Louisville, Kentucky 40202, USA
- The Center for Integrative Environmental Health Sciences, University of Louisville, Louisville, Kentucky 40202, USA
- Department of Pharmacology & Toxicology, the University of Louisville School of Medicine, Louisville, Kentucky 40202, USA
- Envirome Institute, University of Louisville, Louisville, Kentucky 40202, USA
- Division of Environmental Medicine, Department of Medicine, University of Louisville, Louisville, Kentucky 40202, USA
- Department of Biochemistry and Molecular Genetics, the University of Louisville School of Medicine, Louisville, Kentucky 40202, USA
| | - Craig J McClain
- Superfund Research Center, the University of Louisville, Louisville, Kentucky 40202, USA
- Division of Gastroenterology, Hepatology & Nutrition, Department of Medicine, the University of Louisville School of Medicine, Louisville, Kentucky 40202, USA
- The Center for Integrative Environmental Health Sciences, University of Louisville, Louisville, Kentucky 40202, USA
- Department of Pharmacology & Toxicology, the University of Louisville School of Medicine, Louisville, Kentucky 40202, USA
- Envirome Institute, University of Louisville, Louisville, Kentucky 40202, USA
- Department of Biochemistry and Molecular Genetics, the University of Louisville School of Medicine, Louisville, Kentucky 40202, USA
- The Hepatobiology and Toxicology Center, University of Louisville, Louisville, Kentucky 40202, USA
- Alcohol Research Center, University of Louisville, Louisville, Kentucky 40202, USA
| | - Sanjay Srivastava
- Superfund Research Center, the University of Louisville, Louisville, Kentucky 40202, USA
- Department of Pharmacology & Toxicology, the University of Louisville School of Medicine, Louisville, Kentucky 40202, USA
- Envirome Institute, University of Louisville, Louisville, Kentucky 40202, USA
- Division of Environmental Medicine, Department of Medicine, University of Louisville, Louisville, Kentucky 40202, USA
- Department of Biochemistry and Molecular Genetics, the University of Louisville School of Medicine, Louisville, Kentucky 40202, USA
| | - Mathew C Cave
- Superfund Research Center, the University of Louisville, Louisville, Kentucky 40202, USA
- Division of Gastroenterology, Hepatology & Nutrition, Department of Medicine, the University of Louisville School of Medicine, Louisville, Kentucky 40202, USA
- The Center for Integrative Environmental Health Sciences, University of Louisville, Louisville, Kentucky 40202, USA
- Department of Pharmacology & Toxicology, the University of Louisville School of Medicine, Louisville, Kentucky 40202, USA
- Envirome Institute, University of Louisville, Louisville, Kentucky 40202, USA
- Department of Biochemistry and Molecular Genetics, the University of Louisville School of Medicine, Louisville, Kentucky 40202, USA
- The Hepatobiology and Toxicology Center, University of Louisville, Louisville, Kentucky 40202, USA
- Alcohol Research Center, University of Louisville, Louisville, Kentucky 40202, USA
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Umicevic N, Kotur-Stevuljevic J, Paleksic V, Djukic-Cosic D, Miljakovic EA, Djordjevic AB, Curcic M, Bulat Z, Antonijevic B. Liver function alterations among workers in the shoe industry due to combined low-level exposure to organic solvents. Drug Chem Toxicol 2021; 45:1907-1914. [PMID: 33715556 DOI: 10.1080/01480545.2021.1894703] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
This study aimed to investigate the potential hepatotoxicity, nephrotoxic, and hematotoxic effects of simultaneous occupational low-level exposure of shoe workers to a mixture of organic solvents. The study included 16 male and 55 female workers and non-exposed subjects (n = 60) in the control group. Along with a standard sets of hematological, liver enzymes (aspartate aminotransferase (AST), alanine aminotransferase (ALT) and gamma-glutamyl transpeptidase (GGT), bilirubin total, bilirubin direct, blood glucose, urea, and creatinine were analyzed in all participants. Indoor air quality was monitored using a Gasmet Dx - 4000 multi-component analyzer. Despite the concentration levels of individual chemicals in shoe production units were below the permissible limits, the equivalent exposure (Em) values calculated based on the American Conference of Governmental Industrial Hygienists (ACGIH) and National Institute of Occupational Safety and Health (NIOSH) occupational exposure limits were higher than 1. Statistically significant increase of biochemical parameters (aspartate aminotransferase (AST), gamma-glutamyl transpeptidase (GGT), total bilirubin, and direct bilirubin) was obtained in exposed workers of both genders compared with controls (p < 0.001). Calculated liver damage risk scores were significantly higher in both females and males compared with controls (p < 0.001). The multivariate logistic regression analysis showed that direct bilirubin was the most important predictor of organic solvent mixture exposure in the studied group of workers. These results suggest that combined exposure to organic solvents even at low concentrations may lead to hepatotoxicity.
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Affiliation(s)
- Nina Umicevic
- Department of Toxicology, Faculty of Medicine, University of Banja Luka, Banja Luka, Bosnia and Herzegovina
| | - Jelena Kotur-Stevuljevic
- Department of Medical Biochemistry, Faculty of Pharmacy, University of Belgrade, Beograd, Serbia
| | - Vesna Paleksic
- Institute of Occupational and Sports Health in Republic of Srpska, Banja Luka, Bosnia and Herzegovina
| | - Danijela Djukic-Cosic
- Department of Toxicology, Faculty of Medicine, University of Banja Luka, Banja Luka, Bosnia and Herzegovina.,Department of Toxicology "Akademik Danilo Soldatović", Faculty of Pharmacy, University of Belgrade, Beograd, Serbia
| | - Evica Antonijevic Miljakovic
- Department of Toxicology "Akademik Danilo Soldatović", Faculty of Pharmacy, University of Belgrade, Beograd, Serbia
| | - Aleksandra Buha Djordjevic
- Department of Toxicology "Akademik Danilo Soldatović", Faculty of Pharmacy, University of Belgrade, Beograd, Serbia
| | - Marijana Curcic
- Department of Toxicology "Akademik Danilo Soldatović", Faculty of Pharmacy, University of Belgrade, Beograd, Serbia
| | - Zorica Bulat
- Department of Toxicology "Akademik Danilo Soldatović", Faculty of Pharmacy, University of Belgrade, Beograd, Serbia
| | - Biljana Antonijevic
- Department of Toxicology, Faculty of Medicine, University of Banja Luka, Banja Luka, Bosnia and Herzegovina.,Department of Toxicology "Akademik Danilo Soldatović", Faculty of Pharmacy, University of Belgrade, Beograd, Serbia
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