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Scholten B, Westerhout J, Pronk A, Stierum R, Vlaanderen J, Vermeulen R, Jones K, Santonen T, Portengen L. A physiologically-based kinetic (PBK) model for work-related diisocyanate exposure: Relevance for the design and reporting of biomonitoring studies. Environ Int 2023; 174:107917. [PMID: 37062159 DOI: 10.1016/j.envint.2023.107917] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 03/05/2023] [Accepted: 04/02/2023] [Indexed: 06/19/2023]
Abstract
Diisocyanates are highly reactive substances and known causes of occupational asthma. Exposure occurs mainly in the occupational setting and can be assessed through biomonitoring which accounts for inhalation and dermal exposure and potential effects of protective equipment. However the interpretation of biomonitoring data can be challenging for chemicals with complex kinetic behavior and multiple exposure routes, as is the case for diisocyanates. To better understand the relation between external exposure and urinary concentrations of metabolites of diisocyanates, we developed a physiologically based kinetic (PBK) model for methylene bisphenyl isocyanate (MDI) and toluene di-isocyanate (TDI). The PBK model covers both inhalation and dermal exposure, and can be used to estimate biomarker levels after either single or chronic exposures. Key parameters such as absorption and elimination rates of diisocyanates were based on results from human controlled exposure studies. A global sensitivity analysis was performed on model predictions after assigning distributions reflecting a mixture of parameter uncertainty and population variability. Although model-based predictions of urinary concentrations of the degradation products of MDI and TDI for longer-term exposure scenarios compared relatively well to empirical results for a limited set of biomonitoring studies in the peer-reviewed literature, validation of model predictions was difficult because of the many uncertainties regarding the precise exposure scenarios that were used. Sensitivity analyses indicated that parameters with a relatively large impact on model estimates included the fraction of diisocyanates absorbed and the binding rate of diisocyanates to albumin relative to other macro molecules.We additionally investigated the effects of timing of exposure and intermittent urination, and found that both had a considerable impact on estimated urinary biomarker levels. This suggests that these factors should be taken into account when interpreting biomonitoring data and included in the standard reporting of isocyanate biomonitoring studies.
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Affiliation(s)
- B Scholten
- Risk Assessment for Products in Development, TNO Quality of Life, the Netherlands.
| | - J Westerhout
- Risk Assessment for Products in Development, TNO Quality of Life, the Netherlands
| | - A Pronk
- Risk Assessment for Products in Development, TNO Quality of Life, the Netherlands
| | - R Stierum
- Risk Assessment for Products in Development, TNO Quality of Life, the Netherlands
| | - J Vlaanderen
- Institute for Risk Assessment Sciences, Utrecht University, the Netherlands
| | - R Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, the Netherlands
| | - K Jones
- Health and Safety Executive (HSE), Harpur Hill, Buxton, UK
| | - T Santonen
- Finnish Institute of Occupational Health (FIOH), Finland
| | - L Portengen
- Institute for Risk Assessment Sciences, Utrecht University, the Netherlands
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Sun M, Feng W, Wang F, Li P, Li Z, Li M, Tse G, Vlaanderen J, Vermeulen R, Tse LA. Meta-analysis on shift work and risks of specific obesity types. Obes Rev 2018; 19:28-40. [PMID: 28975706 DOI: 10.1111/obr.12621] [Citation(s) in RCA: 191] [Impact Index Per Article: 31.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2017] [Revised: 08/27/2017] [Accepted: 08/28/2017] [Indexed: 12/17/2022]
Abstract
AIMS This systematic review and meta-analysis evaluated the associations between shift work patterns and risks of specific types of obesity. METHODS PubMed was searched until March 2017 for observational studies that examined the relationships between shift work patterns and obesity. Odds ratio for obesity was extracted using a fixed-effects or random-effects model. Subgroup meta-analyses were carried out for study design, specific obesity types and characteristics of shift work pattern. RESULTS A total of 28 studies were included in this meta-analysis. The overall odds ratio of night shift work was 1.23 (95% confidence interval = 1.17-1.29) for risk of obesity/overweight. Cross-sectional studies showed a higher risk of 1.26 than those with the cohort design (risk ratio = 1.10). Shift workers had a higher frequency of developing abdominal obesity (odds ratio = 1.35) than other obesity types. Permanent night workers demonstrated a 29% higher risk than rotating shift workers (odds ratio 1.43 vs. 1.14). CONCLUSION This meta-analysis confirmed the risks of night shift work for the development of overweight and obesity with a potential gradient association suggested, especially for abdominal obesity. Modification of working schedules is recommended, particularly for prolonged permanent night work. More accurate and detailed measurements on shift work patterns should be conducted in future research.
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Affiliation(s)
- M Sun
- JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Sha Tin, Hong Kong
| | - W Feng
- Shenzhen Prevention and Treatment Center for Occupational Diseases, Shenzhen, China
| | - F Wang
- JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Sha Tin, Hong Kong
| | - P Li
- Shenzhen Prevention and Treatment Center for Occupational Diseases, Shenzhen, China
| | - Z Li
- Shenzhen Prevention and Treatment Center for Occupational Diseases, Shenzhen, China
| | - M Li
- JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Sha Tin, Hong Kong
| | - G Tse
- Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Sha Tin, Hong Kong
| | - J Vlaanderen
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - R Vermeulen
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - L A Tse
- JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Sha Tin, Hong Kong.,Shenzhen Municipal Key Laboratory for health Risk Analysis, Shenzhen Research Institute of the Chinese University of Hong Kong, Shenzhen, China
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Georgiadis P, Liampa I, Hebels DG, Krauskopf J, Chatziioannou A, Valavanis I, de Kok TM, Kleinjans JC, Bergdahl IA, Melin B, Spaeth F, Palli D, Vermeulen R, Vlaanderen J, Chadeau-Hyam M, Vineis P, Kyrtopoulos SA. Evolving DNA methylation and gene expression markers of B-cell chronic lymphocytic leukemia are present in pre-diagnostic blood samples more than 10 years prior to diagnosis. BMC Genomics 2017; 18:728. [PMID: 28903739 PMCID: PMC5598006 DOI: 10.1186/s12864-017-4117-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2017] [Accepted: 09/05/2017] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND B-cell chronic lymphocytic leukemia (CLL) is a common type of adult leukemia. It often follows an indolent course and is preceded by monoclonal B-cell lymphocytosis, an asymptomatic condition, however it is not known what causes subjects with this condition to progress to CLL. Hence the discovery of prediagnostic markers has the potential to improve the identification of subjects likely to develop CLL and may also provide insights into the pathogenesis of the disease of potential clinical relevance. RESULTS We employed peripheral blood buffy coats of 347 apparently healthy subjects, of whom 28 were diagnosed with CLL 2.0-15.7 years after enrollment, to derive for the first time genome-wide DNA methylation, as well as gene and miRNA expression, profiles associated with the risk of future disease. After adjustment for white blood cell composition, we identified 722 differentially methylated CpG sites and 15 differentially expressed genes (Bonferroni-corrected p < 0.05) as well as 2 miRNAs (FDR < 0.05) which were associated with the risk of future CLL. The majority of these signals have also been observed in clinical CLL, suggesting the presence in prediagnostic blood of CLL-like cells. Future CLL cases who, at enrollment, had a relatively low B-cell fraction (<10%), and were therefore less likely to have been suffering from undiagnosed CLL or a precursor condition, showed profiles involving smaller numbers of the same differential signals with intensities, after adjusting for B-cell content, generally smaller than those observed in the full set of cases. A similar picture was obtained when the differential profiles of cases with time-to-diagnosis above the overall median period of 7.4 years were compared with those with shorted time-to-disease. Differentially methylated genes of major functional significance include numerous genes that encode for transcription factors, especially members of the homeobox family, while differentially expressed genes include, among others, multiple genes related to WNT signaling as well as the miRNAs miR-150-5p and miR-155-5p. CONCLUSIONS Our findings demonstrate the presence in prediagnostic blood of future CLL patients, more than 10 years before diagnosis, of CLL-like cells which evolve as preclinical disease progresses, and point to early molecular alterations with a pathogenetic potential.
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MESH Headings
- Biomarkers, Tumor/genetics
- DNA Methylation
- Gene Expression Profiling
- Gene Expression Regulation, Neoplastic
- Leukemia, Lymphocytic, Chronic, B-Cell/blood
- Leukemia, Lymphocytic, Chronic, B-Cell/diagnosis
- Leukemia, Lymphocytic, Chronic, B-Cell/genetics
- MicroRNAs/genetics
- Prognosis
- Time Factors
- Humans
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Affiliation(s)
- Panagiotis Georgiadis
- Institute of Biology, Medicinal Chemistry and Biotechnology, National Hellenic Research Foundation, 48, Vassileos Constantinou Avenue, 11635 Athens, Greece
| | - Irene Liampa
- Institute of Biology, Medicinal Chemistry and Biotechnology, National Hellenic Research Foundation, 48, Vassileos Constantinou Avenue, 11635 Athens, Greece
| | - Dennie G. Hebels
- Department of Toxicogenomics, Maastricht University, 6229 Maastricht, ER Netherlands
| | - Julian Krauskopf
- Department of Toxicogenomics, Maastricht University, 6229 Maastricht, ER Netherlands
| | - Aristotelis Chatziioannou
- Institute of Biology, Medicinal Chemistry and Biotechnology, National Hellenic Research Foundation, 48, Vassileos Constantinou Avenue, 11635 Athens, Greece
| | - Ioannis Valavanis
- Institute of Biology, Medicinal Chemistry and Biotechnology, National Hellenic Research Foundation, 48, Vassileos Constantinou Avenue, 11635 Athens, Greece
| | - Theo M.C.M. de Kok
- Department of Toxicogenomics, Maastricht University, 6229 Maastricht, ER Netherlands
| | - Jos C.S. Kleinjans
- Department of Toxicogenomics, Maastricht University, 6229 Maastricht, ER Netherlands
| | - Ingvar A. Bergdahl
- Department of Biobank Research, and Occupational and Environmental Medicine, Department of Public Health and Clinical Medicine, Umeå University, 901 87 Umeå, Sweden
| | - Beatrice Melin
- Department of Radiation Sciences, Oncology, Umeå University, 901 87 Umeå, Sweden
| | - Florentin Spaeth
- Department of Radiation Sciences, Oncology, Umeå University, 901 87 Umeå, Sweden
| | - Domenico Palli
- The Institute for Cancer Research and Prevention, 50141 Florence, Italy
| | - R.C.H. Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - J. Vlaanderen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Marc Chadeau-Hyam
- Department of Epidemiology and Biostatistics, MRC-HPA Centre for Environment and Health, School of Public Health, Faculty of Medicine, Imperial College, London, W2 1PG UK
| | - Paolo Vineis
- Department of Epidemiology and Biostatistics, MRC-HPA Centre for Environment and Health, School of Public Health, Faculty of Medicine, Imperial College, London, W2 1PG UK
| | - Soterios A. Kyrtopoulos
- Institute of Biology, Medicinal Chemistry and Biotechnology, National Hellenic Research Foundation, 48, Vassileos Constantinou Avenue, 11635 Athens, Greece
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Vlaanderen J, Moore LE, Smith MT, Lan Q, Zhang L, Skibola CF, Rothman N, Vermeulen R. Application of OMICS technologies in occupational and environmental health research; current status and projections. Occup Environ Med 2009; 67:136-43. [PMID: 19933307 DOI: 10.1136/oem.2008.042788] [Citation(s) in RCA: 74] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
OMICS technologies are relatively new biomarker discovery tools that can be applied to study large sets of biological molecules. Their application in human observational studies (HOS) has become feasible in recent years due to a spectacular increase in the sensitivity, resolution and throughput of OMICS-based assays. Although, the number of OMICS techniques is ever expanding, the five most developed OMICS technologies are genotyping, transcriptomics, epigenomics, proteomics and metabolomics. These techniques have been applied in HOS to various extents. However, their application in occupational environmental health (OEH) research has been limited. Here, we will discuss the opportunities these new techniques provide for OEH research. In addition we will address difficulties and limitations to the interpretation of the data that is generated by OMICS technologies. To illustrate the current status of the application of OMICS in OEH research, we will provide examples of studies that used OMICS technologies to investigate human health effects of two well-known toxicants, benzene and arsenic.
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Affiliation(s)
- J Vlaanderen
- Institute for Risk Assessment Sciences, Division of Environmental Epidemiology, University Utrecht, Po Box 80178, 3508 TD, Utrecht, the Netherlands.
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Pronk A, Yu F, Vlaanderen J, Tielemans E, Preller L, Bobeldijk I, Deddens JA, Latza U, Baur X, Heederik D. Dermal, inhalation, and internal exposure to 1,6-HDI and its oligomers in car body repair shop workers and industrial spray painters. Occup Environ Med 2006; 63:624-31. [PMID: 16728504 PMCID: PMC2078164 DOI: 10.1136/oem.2005.023226] [Citation(s) in RCA: 44] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
OBJECTIVES To study inhalation and dermal exposure to hexamethylene diisocyanate (HDI) and its oligomers as well as personal protection equipment (PPE) use during task performance in conjunction with urinary hexamethylene diamine (HDA) in car body repair shop workers and industrial spray painters. METHODS Personal task based inhalation samples (n = 95) were collected from six car body repair shops and five industrial painting companies using impingers with di-n-butylamine (DBA) in toluene. In parallel, dermal exposure was assessed using nitril rubber gloves. Gloves were submerged into DBA in toluene after sampling. Analysis for HDI and its oligomers was performed by LC-MS/MS. Urine samples were collected from 55 workers (n = 291) and analysed for HDA by GC-MS. RESULTS Inhalation exposure was strongly associated with tasks during which aerosolisation occurs. Dermal exposure occurred during tasks that involve direct handling of paint. In car body repair shops associations were found between detectable dermal exposure and glove use (odds ratio (OR) 0.22, 95% confidence interval (CI) 0.09 to 0.57) and inhalation exposure level (OR 1.34, 95% CI 0.97 to 1.84 for a 10-fold increase). HDA in urine could be demonstrated in 36% and 10% of car body repair shop workers and industrial painting company workers respectively. In car body repair shops, the frequency of detectable HDA was significantly elevated at the end of the working day (OR 2.13, 95% CI 1.07 to 4.22 for 3-6 pm v 0-8 am). In both branches HDA was detected in urine of approximately 25% of the spray painters. In addition HDA was detected in urine of a large proportion of non-spray painters in car body repair shops. CONCLUSION Although (spray) painting with lacquers containing isocyanate hardeners results in the highest external exposures to HDI and oligomers, workers that do not perform paint related tasks may also receive a considerable internal dose.
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Affiliation(s)
- A Pronk
- Risk Assessment in the Work Environment, Food & Chemical Risk Analysis, TNO Quality of Life and IRAS, Netherlands.
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