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Westerhout J, den Heijer-Jordaan A, Princen HMG, Stierum R. A systems toxicology approach for identification of disruptions in cholesterol homeostasis after aggregated exposure to mixtures of perfluorinated compounds in humans. Toxicol Sci 2024; 198:191-209. [PMID: 38243716 DOI: 10.1093/toxsci/kfae006] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2024] Open
Abstract
Per- and polyfluoroalkyl substances (PFAS) are used in various household and industrial products. In humans, positive associations were reported between PFAS, including perfluorsulfonic acid and perfluorooctanoic acid, and cholesterol, a cardiometabolic risk factor. Animal studies show the opposite. Human-centered approaches are needed to better understand the effects of PFAS mixtures on cholesterol. Here, a systems toxicology approach is described, using a gene-centered cholesterol biokinetic model. PFAS exposure-gene expression relations from published data were introduced into the model. An existing PFAS physiologically based kinetic model was augmented with lung and dermal compartments and integrated with the cholesterol model to enable exposure-effect modeling. The final model was populated with data reflecting lifetime mixture exposure from: tolerable weekly intake values; the environment; high occupational exposures (ski waxing, PFAS industry). Results indicate that low level exposures (tolerable weekly intake, environmental) did not change cholesterol. In contrast, occupational exposures clearly resulted in internal PFAS exposure and disruption of cholesterol homeostasis, largely in line with epidemiological observations. Despite model limitations (eg, dynamic range, directionality), changes in cholesterol homeostasis were predicted for ski waxers, hitherto unknown from epidemiological studies. Here, future studies involving lipid metabolism could improve risk assessment.
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Affiliation(s)
- Joost Westerhout
- TNO Risk Analysis for Products in Development, 3584 CB Utrecht, The Netherlands
| | | | | | - Rob Stierum
- TNO Risk Analysis for Products in Development, 3584 CB Utrecht, The Netherlands
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2
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Verscheure E, Stierum R, Schlünssen V, Lund Würtz AM, Vanneste D, Kogevinas M, Harding BN, Broberg K, Zienolddiny-Narui S, Erdem JS, Das MK, Makris KC, Konstantinou C, Andrianou X, Dekkers S, Morris L, Pronk A, Godderis L, Ghosh M. Characterization of the internal working-life exposome using minimally and non-invasive sampling methods - a narrative review. Environ Res 2023; 238:117001. [PMID: 37683788 DOI: 10.1016/j.envres.2023.117001] [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: 04/13/2023] [Revised: 08/24/2023] [Accepted: 08/25/2023] [Indexed: 09/10/2023]
Abstract
During recent years, we are moving away from the 'one exposure, one disease'-approach in occupational settings and towards a more comprehensive approach, taking into account the totality of exposures during a life course by using an exposome approach. Taking an exposome approach however is accompanied by many challenges, one of which, for example, relates to the collection of biological samples. Methods used for sample collection in occupational exposome studies should ideally be minimally invasive, while at the same time sensitive, and enable meaningful repeated sampling in a large population and over a longer time period. This might be hampered in specific situations e.g., people working in remote areas, during pandemics or with flexible work hours. In these situations, using self-sampling techniques might offer a solution. Therefore, our aim was to identify existing self-sampling techniques and to evaluate the applicability of these techniques in an occupational exposome context by conducting a literature review. We here present an overview of current self-sampling methodologies used to characterize the internal exposome. In addition, the use of different biological matrices was evaluated and subdivided based on their level of invasiveness and applicability in an occupational exposome context. In conclusion, this review and the overview of self-sampling techniques presented herein can serve as a guide in the design of future (occupational) exposome studies while circumventing sample collection challenges associated with exposome studies.
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Affiliation(s)
- Eline Verscheure
- Department of Public Health and Primary Care, Centre for Environment and Health, Katholieke Universiteit Leuven, Leuven, Belgium
| | - Rob Stierum
- Netherlands Organisation for Applied Scientific Research TNO, Risk Analysis for Products in Development, Utrecht, the Netherlands
| | - Vivi Schlünssen
- Department of Public Health, Research unit for Environment, Occupation and Health, Danish Ramazzini Centre, Aarhus University, Aarhus, Denmark
| | - Anne Mette Lund Würtz
- Department of Public Health, Research unit for Environment, Occupation and Health, Danish Ramazzini Centre, Aarhus University, Aarhus, Denmark
| | - Dorian Vanneste
- Department of Public Health and Primary Care, Centre for Environment and Health, Katholieke Universiteit Leuven, Leuven, Belgium
| | - Manolis Kogevinas
- Environment and Health over the Lifecourse Program, ISGlobal, Barcelona, Spain
| | - Barbara N Harding
- Environment and Health over the Lifecourse Program, ISGlobal, Barcelona, Spain
| | - Karin Broberg
- Division of Occupational and Environmental Medicine, Lund University, Lund, Sweden; Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | | | | | - Mrinal K Das
- National Institute of Occupational Health, Oslo, Norway
| | - Konstantinos C Makris
- Cyprus International Institute for Environmental and Public Health, Cyprus University of Technology, Limassol, Cyprus
| | - Corina Konstantinou
- Cyprus International Institute for Environmental and Public Health, Cyprus University of Technology, Limassol, Cyprus
| | - Xanthi Andrianou
- Cyprus International Institute for Environmental and Public Health, Cyprus University of Technology, Limassol, Cyprus
| | - Susan Dekkers
- Netherlands Organisation for Applied Scientific Research TNO, Risk Analysis for Products in Development, Utrecht, the Netherlands
| | | | - Anjoeka Pronk
- Netherlands Organisation for Applied Scientific Research TNO, Risk Analysis for Products in Development, Utrecht, the Netherlands
| | - Lode Godderis
- Department of Public Health and Primary Care, Centre for Environment and Health, Katholieke Universiteit Leuven, Leuven, Belgium; Idewe, External Service for Prevention and Protection at work, Heverlee, Belgium.
| | - Manosij Ghosh
- Department of Public Health and Primary Care, Centre for Environment and Health, Katholieke Universiteit Leuven, Leuven, Belgium.
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3
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Martens M, Stierum R, Schymanski EL, Evelo CT, Aalizadeh R, Aladjov H, Arturi K, Audouze K, Babica P, Berka K, Bessems J, Blaha L, Bolton EE, Cases M, Damalas DΕ, Dave K, Dilger M, Exner T, Geerke DP, Grafström R, Gray A, Hancock JM, Hollert H, Jeliazkova N, Jennen D, Jourdan F, Kahlem P, Klanova J, Kleinjans J, Kondic T, Kone B, Lynch I, Maran U, Martinez Cuesta S, Ménager H, Neumann S, Nymark P, Oberacher H, Ramirez N, Remy S, Rocca-Serra P, Salek RM, Sallach B, Sansone SA, Sanz F, Sarimveis H, Sarntivijai S, Schulze T, Slobodnik J, Spjuth O, Tedds J, Thomaidis N, Weber RJ, van Westen GJ, Wheelock CE, Williams AJ, Witters H, Zdrazil B, Županič A, Willighagen EL. ELIXIR and Toxicology: a community in development. F1000Res 2023; 10:ELIXIR-1129. [PMID: 37842337 PMCID: PMC10568213 DOI: 10.12688/f1000research.74502.2] [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] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/28/2023] [Indexed: 10/17/2023] Open
Abstract
Toxicology has been an active research field for many decades, with academic, industrial and government involvement. Modern omics and computational approaches are changing the field, from merely disease-specific observational models into target-specific predictive models. Traditionally, toxicology has strong links with other fields such as biology, chemistry, pharmacology and medicine. With the rise of synthetic and new engineered materials, alongside ongoing prioritisation needs in chemical risk assessment for existing chemicals, early predictive evaluations are becoming of utmost importance to both scientific and regulatory purposes. ELIXIR is an intergovernmental organisation that brings together life science resources from across Europe. To coordinate the linkage of various life science efforts around modern predictive toxicology, the establishment of a new ELIXIR Community is seen as instrumental. In the past few years, joint efforts, building on incidental overlap, have been piloted in the context of ELIXIR. For example, the EU-ToxRisk, diXa, HeCaToS, transQST, and the nanotoxicology community have worked with the ELIXIR TeSS, Bioschemas, and Compute Platforms and activities. In 2018, a core group of interested parties wrote a proposal, outlining a sketch of what this new ELIXIR Toxicology Community would look like. A recent workshop (held September 30th to October 1st, 2020) extended this into an ELIXIR Toxicology roadmap and a shortlist of limited investment-high gain collaborations to give body to this new community. This Whitepaper outlines the results of these efforts and defines our vision of the ELIXIR Toxicology Community and how it complements other ELIXIR activities.
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Affiliation(s)
- Marvin Martens
- Department of Bioinformatics - BiGCaT, Maastricht University, Maastricht, 6229 ER, The Netherlands
| | - Rob Stierum
- Risk Analysis for Products In Development (RAPID), Netherlands Organisation for applied scientific research TNO, Utrecht, 3584 CB, The Netherlands
| | - Emma L. Schymanski
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Belvaux, 4367, Luxembourg
| | - Chris T. Evelo
- Department of Bioinformatics - BiGCaT, Maastricht University, Maastricht, 6229 ER, The Netherlands
- Maastricht Centre for Systems Biology (MaCSBio), Maastricht University, Maastricht, 6229 EN, The Netherlands
| | - Reza Aalizadeh
- Laboratory of Analytical Chemistry, Department of Chemistry, National and Kapodistrian University of Athens, Athens, 15771, Greece
| | - Hristo Aladjov
- Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Sofia, 1113, Bulgaria
| | - Kasia Arturi
- Department Environmental Chemistry, Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, 8600, Switzerland
| | | | - Pavel Babica
- RECETOX, Faculty of Science, Masaryk University, Brno, Czech Republic
| | - Karel Berka
- Department of Physical Chemistry, Palacky University Olomouc, Olomouc, 77146, Czech Republic
| | | | - Ludek Blaha
- RECETOX, Faculty of Science, Masaryk University, Brno, Czech Republic
| | - Evan E. Bolton
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA
| | | | - Dimitrios Ε. Damalas
- Laboratory of Analytical Chemistry, Department of Chemistry, National and Kapodistrian University of Athens, Athens, 15771, Greece
| | - Kirtan Dave
- School of Science, GSFC University, Gujarat, 391750, India
| | - Marco Dilger
- Forschungs- und Beratungsinstitut Gefahrstoffe (FoBiG) GmbH, Freiburg im Breisgau, 79106, Germany
| | | | - Daan P. Geerke
- AIMMS Division of Molecular Toxicology, Vrije Universiteit, Amsterdam, 1081 HZ, The Netherlands
| | - Roland Grafström
- Department of Toxicology, Misvik Biology, Turku, 20520, Finland
- Institute of Environmental Medicine, Karolinska Institute, Stockholm, 17177, Sweden
| | - Alasdair Gray
- Department of Computer Science, Heriot-Watt University, Edinburgh, UK
| | | | - Henner Hollert
- Department Evolutionary Ecology & Environmental Toxicology (E3T), Goethe-University, Frankfurt, D-60438, Germany
| | | | - Danyel Jennen
- Department of Toxicogenomics, Maastricht University, Maastricht, 6200 MD, The Netherlands
| | - Fabien Jourdan
- MetaboHUB, French metabolomics infrastructure in Metabolomics and Fluxomics, Toulouse, France
- Toxalim (Research Centre in Food Toxicology), Université de Toulouse, Toulouse, France
| | - Pascal Kahlem
- Scientific Network Management SL, Barcelona, 08015, Spain
| | - Jana Klanova
- RECETOX, Faculty of Science, Masaryk University, Brno, Czech Republic
| | - Jos Kleinjans
- Department of Toxicogenomics, Maastricht University, Maastricht, 6200 MD, The Netherlands
| | - Todor Kondic
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Belvaux, 4367, Luxembourg
| | - Boï Kone
- Faculty of Pharmacy, Malaria Research and Training Center, Bamako, BP:1805, Mali
| | - Iseult Lynch
- School of Geography, Earth and Environmental Sciences, University of Birmingham, UK, Birmingham, B15 2TT, UK
| | - Uko Maran
- Institute of Chemistry, University of Tartu, Tartu, 50411, Estonia
| | | | - Hervé Ménager
- Institut Français de Bioinformatique, Evry, F-91000, France
- Bioinformatics and Biostatistics Hub, Institut Pasteur, Paris, F-75015, France
| | - Steffen Neumann
- Research group Bioinformatics and Scientific Data, Leibniz Institute of Plant Biochemistry, Halle, 06120, Germany
| | - Penny Nymark
- Institute of Environmental Medicine, Karolinska Institute, Stockholm, 17177, Sweden
| | - Herbert Oberacher
- Institute of Legal Medicine and Core Facility Metabolomics, Medical University of Innsbruck, Innsbruck, A-6020, Austria
| | - Noelia Ramirez
- Institut d'Investigacio Sanitaria Pere Virgili-Universitat Rovira i Virgili, Tarragona, 43007, Spain
| | | | - Philippe Rocca-Serra
- Data Readiness Group, Department of Engineering Science, University of Oxford, Oxford, UK
| | - Reza M. Salek
- International Agency for Research on Cancer, World Health Organisation, Lyon, 69372, France
| | - Brett Sallach
- Department of Environment and Geography, University of York, UK, York, YO10 5NG, UK
| | | | - Ferran Sanz
- Research Programme on Biomedical Informatics (GRIB), Hospital del Mar Medical Research Institute (IMIM), Department of Experimental and Health Sciences, Pompeu Fabra University, Barcelona, 08003, Spain
| | | | | | - Tobias Schulze
- Helmholtz Centre for Environmental Research - UFZ, Leipzig, 04318, Germany
| | | | - Ola Spjuth
- Department of Pharmaceutical Biosciences and Science for Life Laboratory, Uppsala University, Uppsala, SE-75124, Sweden
| | - Jonathan Tedds
- ELIXIR Hub, Wellcome Genome Campus, Cambridge, CB10 1SD, UK
| | - Nikolaos Thomaidis
- Laboratory of Analytical Chemistry, Department of Chemistry, National and Kapodistrian University of Athens, Athens, 15771, Greece
| | - Ralf J.M. Weber
- School of Biosciences, University of Birmingham, UK, Birmingham, B15 2TT, UK
| | - Gerard J.P. van Westen
- Division of Drug Discovery and Safety, Leiden Academic Center for Drug Research, Leiden, 2333 CC, The Netherlands
| | - Craig E. Wheelock
- Department of Respiratory Medicine and Allergy, Karolinska University Hospital, Stockholm SE-141-86, Sweden
- Department of Medical Biochemistry and Biophysics, Karolinska Institute, Stockholm, 17177, Sweden
| | - Antony J. Williams
- Center for Computational Toxicology and Exposure, United States Environmental Protection Agency, Research Triangle Park, NC 27711, USA
| | | | - Barbara Zdrazil
- Department of Pharmaceutical Sciences, University of Vienna, Vienna, 1090, Austria
| | - Anže Županič
- Department Biotechnology and Systems Biology, National Institute of Biology, Ljubljana, 1000, Slovenia
| | - Egon L. Willighagen
- Department of Bioinformatics - BiGCaT, Maastricht University, Maastricht, 6229 ER, The Netherlands
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4
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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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5
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Bajard L, Adamovsky O, Audouze K, Baken K, Barouki R, Beltman JB, Beronius A, Bonefeld-Jørgensen EC, Cano-Sancho G, de Baat ML, Di Tillio F, Fernández MF, FitzGerald RE, Gundacker C, Hernández AF, Hilscherova K, Karakitsios S, Kuchovska E, Long M, Luijten M, Majid S, Marx-Stoelting P, Mustieles V, Negi CK, Sarigiannis D, Scholz S, Sovadinova I, Stierum R, Tanabe S, Tollefsen KE, van den Brand AD, Vogs C, Wielsøe M, Wittwehr C, Blaha L. Application of AOPs to assist regulatory assessment of chemical risks - Case studies, needs and recommendations. Environ Res 2023; 217:114650. [PMID: 36309218 PMCID: PMC9850416 DOI: 10.1016/j.envres.2022.114650] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [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: 09/02/2022] [Revised: 10/18/2022] [Accepted: 10/21/2022] [Indexed: 05/06/2023]
Abstract
While human regulatory risk assessment (RA) still largely relies on animal studies, new approach methodologies (NAMs) based on in vitro, in silico or non-mammalian alternative models are increasingly used to evaluate chemical hazards. Moreover, human epidemiological studies with biomarkers of effect (BoE) also play an invaluable role in identifying health effects associated with chemical exposures. To move towards the next generation risk assessment (NGRA), it is therefore crucial to establish bridges between NAMs and standard approaches, and to establish processes for increasing mechanistically-based biological plausibility in human studies. The Adverse Outcome Pathway (AOP) framework constitutes an important tool to address these needs but, despite a significant increase in knowledge and awareness, the use of AOPs in chemical RA remains limited. The objective of this paper is to address issues related to using AOPs in a regulatory context from various perspectives as it was discussed in a workshop organized within the European Union partnerships HBM4EU and PARC in spring 2022. The paper presents examples where the AOP framework has been proven useful for the human RA process, particularly in hazard prioritization and characterization, in integrated approaches to testing and assessment (IATA), and in the identification and validation of BoE in epidemiological studies. Nevertheless, several limitations were identified that hinder the optimal usability and acceptance of AOPs by the regulatory community including the lack of quantitative information on response-response relationships and of efficient ways to map chemical data (exposure and toxicity) onto AOPs. The paper summarizes suggestions, ongoing initiatives and third-party tools that may help to overcome these obstacles and thus assure better implementation of AOPs in the NGRA.
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Affiliation(s)
- Lola Bajard
- RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, 611 37 Brno, Czech Republic
| | - Ondrej Adamovsky
- RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, 611 37 Brno, Czech Republic
| | - Karine Audouze
- Université Paris Cité, T3S, Inserm UMR S-1124, F-75006 Paris, France
| | - Kirsten Baken
- Unit Health, Flemish Institute for Technological Research (VITO NV), Boeretang 200, 2400 Mol, Belgium
| | - Robert Barouki
- Université Paris Cité, T3S, Inserm UMR S-1124, F-75006 Paris, France
| | - Joost B Beltman
- Division of Drug Discovery and Safety, Leiden Academic Centre for Drug Research, Leiden University, Leiden, Netherlands
| | - Anna Beronius
- Institute of Environmental Medicine, Karolinska Institutet, Nobels väg 13, Solna, Sweden
| | - Eva Cecilie Bonefeld-Jørgensen
- Centre for Arctic Health & Molecular Epidemiology, Department of Public Health, Aarhus University, Bartholins Allé 2, 8000 Aarhus, Denmark; Greenland Centre for Health Research, University of Greenland, Manutooq 1, 3905 Nuussuaq, Greenland
| | | | - Milo L de Baat
- KWR Water Research Institute, Groningenhaven 7, 3433 PE Nieuwegein, the Netherlands
| | - Filippo Di Tillio
- Division of Drug Discovery and Safety, Leiden Academic Centre for Drug Research, Leiden University, Leiden, Netherlands
| | - Mariana F Fernández
- Center for Biomedical Research (CIBM) & School of Medicine, University of Granada, 18016 Granada, Spain; Instituto de Investigación Biosanitaria (ibs. GRANADA), 18012, Granada, Spain; Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain
| | - Rex E FitzGerald
- Swiss Centre for Applied Human Toxicology SCAHT, University of Basel, Missionsstrasse 64, CH-4055 Basel, Switzerland
| | - Claudia Gundacker
- Institute of Medical Genetics, Center for Pathobiochemistry and Genetics, Medical University of Vienna, 1090 Vienna, Austria
| | - Antonio F Hernández
- Instituto de Investigación Biosanitaria (ibs. GRANADA), 18012, Granada, Spain; Department of Legal Medicine and Toxicology, University of Granada School of Medicine, Avda. de la Investigación, 11, 18016, Granada, Spain; Consortium for Biomedical Research in Epidemiology & Public Health, CIBERESP, Madrid, Spain
| | - Klara Hilscherova
- RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, 611 37 Brno, Czech Republic
| | - Spyros Karakitsios
- Environmental Engineering Laboratory, Department of Chemical Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece; HERACLES Research Centre on the Exposome and Health, Center for Interdisciplinary Research and Innovation, Thessaloniki, Greece
| | - Eliska Kuchovska
- IUF-Leibniz Research Institute for Environmental Medicine, Auf'm Hennekamp 50, 40225, Duesseldorf, Germany
| | - Manhai Long
- Centre for Arctic Health & Molecular Epidemiology, Department of Public Health, Aarhus University, Bartholins Allé 2, 8000 Aarhus, Denmark
| | - Mirjam Luijten
- National Institute for Public Health and the Environment (RIVM), Centre for Health Protection, Bilthoven, the Netherlands
| | - Sanah Majid
- KWR Water Research Institute, Groningenhaven 7, 3433 PE Nieuwegein, the Netherlands
| | - Philip Marx-Stoelting
- German Federal Institute for Risk Assessment, Dept. Pesticides Safety, Berlin, Germany
| | - Vicente Mustieles
- Center for Biomedical Research (CIBM) & School of Medicine, University of Granada, 18016 Granada, Spain; Instituto de Investigación Biosanitaria (ibs. GRANADA), 18012, Granada, Spain; Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain
| | - Chander K Negi
- RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, 611 37 Brno, Czech Republic
| | - Dimosthenis Sarigiannis
- Environmental Engineering Laboratory, Department of Chemical Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece; HERACLES Research Centre on the Exposome and Health, Center for Interdisciplinary Research and Innovation, Thessaloniki, Greece
| | - Stefan Scholz
- UFZ Helmholtz Center for Environmental Research, Dept Bioanalyt Ecotoxicol, D-04318 Leipzig, Germany
| | - Iva Sovadinova
- RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, 611 37 Brno, Czech Republic
| | - Rob Stierum
- Netherlands Organisation for Applied Scientific Research, Risk Analysis for Products in Development, Utrecht, the Netherlands
| | - Shihori Tanabe
- Division of Risk Assessment, Center for Biological Safety and Research, National Institute of Health Sciences, Kawasaki, Japan
| | - Knut Erik Tollefsen
- Norwegian Institute for Water Research (NIVA), Section of Ecotoxicology and Risk Assessment, Gaustadalléen, Oslo, Norway; Norwegian University of Life Sciences (NMBU), Faculty of Environmental Sciences and Natural Resource Management (MINA), Norway
| | - Annick D van den Brand
- Institute for Public Health and the Environment (RIVM), Centre for Nutrition, Prevention and Health Services, 3720 BA Bilthoven, the Netherlands
| | - Carolina Vogs
- Institute of Environmental Medicine, Karolinska Institutet, Nobels väg 13, Solna, Sweden; Department of Biomedical Sciences and Veterinary Public Health, Swedish University of Agricultural Sciences, SE-75007 Uppsala, Sweden
| | - Maria Wielsøe
- Centre for Arctic Health & Molecular Epidemiology, Department of Public Health, Aarhus University, Bartholins Allé 2, 8000 Aarhus, Denmark
| | | | - Ludek Blaha
- RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, 611 37 Brno, Czech Republic.
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Westerhout J, Krishnan S, Schillemans T, Åkesson A, Kramer N, Louisse J, Legler J, Princen H, Stierum R. SOC-V-09 Development of quantitative adverse outcome pathways to address the effects of PFAS on cholesterol metabolism. Benchmarking with human epidemiological data and comparison with threshold values. Toxicol Lett 2022. [DOI: 10.1016/j.toxlet.2022.07.198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
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7
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Scholten B, Simón LG, Krishnan S, Vermeulen R, Pronk A, Gyori BM, Bachman JA, Vlaanderen J, Stierum R. Automated Network Assembly of Mechanistic Literature for Informed Evidence Identification to Support Cancer Risk Assessment. Environ Health Perspect 2022; 130:37002. [PMID: 35238605 PMCID: PMC8893280 DOI: 10.1289/ehp9112] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2021] [Revised: 12/23/2021] [Accepted: 02/15/2022] [Indexed: 05/20/2023]
Abstract
BACKGROUND Mechanistic data is increasingly used in hazard identification of chemicals. However, the volume of data is large, challenging the efficient identification and clustering of relevant data. OBJECTIVES We investigated whether evidence identification for hazard assessment can become more efficient and informed through an automated approach that combines machine reading of publications with network visualization tools. METHODS We chose 13 chemicals that were evaluated by the International Agency for Research on Cancer (IARC) Monographs program incorporating the key characteristics of carcinogens (KCCs) approach. Using established literature search terms for KCCs, we retrieved and analyzed literature using Integrated Network and Dynamical Reasoning Assembler (INDRA). INDRA combines large-scale literature processing with pathway databases and extracts relationships between biomolecules, bioprocesses, and chemicals into statements (e.g., "benzene activates DNA damage"). These statements were subsequently assembled into networks and compared with the KCC evaluation by the IARC, to evaluate the informativeness of our approach. RESULTS We found, in general, larger networks for those chemicals which the IARC has evaluated the evidence to be strong for KCC induction. Larger networks were not directly linked to publication count, given that we retrieved small networks for several chemicals with little support for KCC activation according to the IARC, despite the significant volume of literature for these specific chemicals. In addition, interpreting networks for genotoxicity and DNA repair showed concordance with the IARC KCC evaluation. DISCUSSION Our method is an automated approach to condense mechanistic literature into searchable and interpretable networks based on an a priori ontology. The approach is no replacement of expert evaluation but, instead, provides an informed structure for experts to quickly identify which statements are made in which papers and how these could connect. We focused on the KCCs because these are supported by well-described search terms. The method needs to be tested in other frameworks as well to demonstrate its generalizability. https://doi.org/10.1289/EHP9112.
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Affiliation(s)
- Bernice Scholten
- Research Group Risk Analysis for Products in Development, The Netherlands Organisation for applied scientific research, Utrecht, Netherlands
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Laura Guerrero Simón
- Research Group Risk Analysis for Products in Development, The Netherlands Organisation for applied scientific research, Utrecht, Netherlands
| | - Shaji Krishnan
- Research Group Risk Analysis for Products in Development, The Netherlands Organisation for applied scientific research, Utrecht, Netherlands
| | - Roel Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Anjoeka Pronk
- Research Group Risk Analysis for Products in Development, The Netherlands Organisation for applied scientific research, Utrecht, Netherlands
| | - Benjamin M. Gyori
- Laboratory of Systems Pharmacology, Harvard Medical School, Boston, Massachusetts, USA
| | - John A. Bachman
- Laboratory of Systems Pharmacology, Harvard Medical School, Boston, Massachusetts, USA
| | - Jelle Vlaanderen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Rob Stierum
- Research Group Risk Analysis for Products in Development, The Netherlands Organisation for applied scientific research, Utrecht, Netherlands
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Scholten B, Portengen L, Pronk A, Stierum R, Downward GS, Vlaanderen J, Vermeulen R. Estimation of the exposure response relation between benzene and acute myeloid leukemia by combining epidemiological, human biomarker, and animal data. Cancer Epidemiol Biomarkers Prev 2021; 31:751-757. [PMID: 34906966 DOI: 10.1158/1055-9965.epi-21-0287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Revised: 06/21/2021] [Accepted: 11/22/2021] [Indexed: 11/16/2022] Open
Abstract
Background Chemical risk assessment can benefit from integrating data across multiple evidence bases, especially in exposure-response cure (ERC) modelling when data across the exposure range is sparse. Methods We estimated the ERC for benzene and acute myeloid leukemia (AML), by fitting linear and spline-based Bayesian meta-regression models that included summary risk estimates from non-AML and non-human studies as prior information. Our complete dataset included six human AML studies, three human leukemia studies, ten human biomarker studies, and four experimental animal studies. Results A linear meta-regression model with intercept best predicted AML risks after cross-validation, both for the full dataset and AML studies only. Risk estimates in the low exposure range (<40 ppm yrs) from this model were comparable, but more precise, when the ERC was derived using all available data than when using AML data only. Allowing for between-study heterogeneity, RRs and 95% prediction intervals [95%PI] at 5 ppm years were 1.58 [1.01, 3.22]) and 1.44 [0.85, 3.42], respectively. Conclusions Integrating the available epidemiological, biomarker, and animal data resulted in more precise risk estimates for benzene exposure and AML, although the large between-study heterogeneity hampers interpretation of these results. The harmonization steps required to fit the Bayesian meta-regression model involve a range of assumptions that need to be critically evaluated, as they seem crucial for successful implementation. Impact By describing a framework for data-integration and explicitly describing the necessary data harmonization steps, we hope to enable risk assessors to better understand the advantages and assumptions underlying a data integration approach.
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Affiliation(s)
| | | | - Anjoeka Pronk
- RAPID, Netherlands Organisation for Applied Scientific Research
| | - Rob Stierum
- RAPID, Netherlands Organisation for Applied Scientific Research
| | | | | | - Roel Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University
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9
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Kleovoulou EG, Konstantinou C, Constantinou A, Kuijpers E, Loh M, Galea KS, Stierum R, Pronk A, Makris KC. Stakeholders' Perceptions of Environmental and Public Health Risks Associated with Hydrocarbon Activities in and around the Vasilikos Energy Center, Cyprus. Int J Environ Res Public Health 2021; 18:ijerph182413133. [PMID: 34948743 PMCID: PMC8702061 DOI: 10.3390/ijerph182413133] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Revised: 12/03/2021] [Accepted: 12/06/2021] [Indexed: 11/16/2022]
Abstract
The Vasilikos Energy Center (VEC) is a large hydrocarbon industrial hub actively operating in Cyprus. There is strong public interest by the communities surrounding VEC to engage with all stakeholders towards the sustainable development of hydrocarbon in the region. The methodological framework of the exposome concept would allow for the holistic identification of all relevant environmental exposures by engaging the most relevant stakeholders in industrially contaminated sites. The main objectives of this study were to: (i) evaluate the stakeholders’ perceptions of the environmental and public health risks and recommended actions associated with the VEC hydrocarbon activities, and (ii) assess the stakeholders’ understanding and interest towards exposome-based technologies for use in oil and gas applications. Methods: Six major groups of stakeholders were identified: local authorities, small-medium industries (SMIs) (including multi-national companies), small-medium enterprises (SMEs), academia/professional associations, government, and the general public residing in the communities surrounding the VEC. During 2019–2021, a suite of stakeholder engagement initiatives was deployed, including semi-structured interviews (n = 32), a community survey for the general public (n = 309), technical meetings, and workshops (n = 4). Results from the semi-structured interviews, technical meetings and workshops were analyzed through thematic analysis and results from the community survey were analyzed using descriptive statistics. Results: Almost all stakeholders expressed the need for the implementation of a systematic health monitoring system for the VEC broader area and its surrounding residential communities, including frequent measurements of air pollutant emissions. Moreover, stricter policies by the government about licensing and monitoring of hydrocarbon activities and proper communication to the public and the mass media emerged as important needs. The exposome concept was not practiced by the SMEs, but SMIs showed willingness to use it in the future as part of their research and development activities. Conclusions: The sustainable development of hydrocarbon exploitation and processing prospects for Cyprus involves the VEC. Continuous and active collaboration and mutual feedback among all stakeholders involved with the VEC is essential, as this may allow future environmental and occupational health initiatives to be formalized.
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Affiliation(s)
- Eleni G. Kleovoulou
- Cyprus International Institute for Environmental and Public Health, Cyprus University of Technology, Limassol 3041, Cyprus; (E.G.K.); (C.K.); (A.C.)
| | - Corina Konstantinou
- Cyprus International Institute for Environmental and Public Health, Cyprus University of Technology, Limassol 3041, Cyprus; (E.G.K.); (C.K.); (A.C.)
| | - Andria Constantinou
- Cyprus International Institute for Environmental and Public Health, Cyprus University of Technology, Limassol 3041, Cyprus; (E.G.K.); (C.K.); (A.C.)
| | - Eelco Kuijpers
- The Netherlands Organization for Applied Scientific Research TNO, 3584 CB Utrecht, The Netherlands; (E.K.); (R.S.); (A.P.)
| | - Miranda Loh
- Institute of Occupational Medicine (IOM), Edinburgh EH14 4AP, UK; (M.L.); (K.S.G.)
| | - Karen S. Galea
- Institute of Occupational Medicine (IOM), Edinburgh EH14 4AP, UK; (M.L.); (K.S.G.)
| | - Rob Stierum
- The Netherlands Organization for Applied Scientific Research TNO, 3584 CB Utrecht, The Netherlands; (E.K.); (R.S.); (A.P.)
| | - Anjoeka Pronk
- The Netherlands Organization for Applied Scientific Research TNO, 3584 CB Utrecht, The Netherlands; (E.K.); (R.S.); (A.P.)
| | - Konstantinos C. Makris
- Cyprus International Institute for Environmental and Public Health, Cyprus University of Technology, Limassol 3041, Cyprus; (E.G.K.); (C.K.); (A.C.)
- Correspondence:
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10
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Kuijpers E, van Wel L, Loh M, Galea KS, Makris KC, Stierum R, Fransman W, Pronk A. A Scoping Review of Technologies and Their Applicability for Exposome-Based Risk Assessment in the Oil and Gas Industry. Ann Work Expo Health 2021; 65:1011-1028. [PMID: 34219141 DOI: 10.1093/annweh/wxab039] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Revised: 04/18/2021] [Accepted: 05/12/2021] [Indexed: 11/12/2022] Open
Abstract
INTRODUCTION Oil and gas workers have been shown to be at increased risk of chronic diseases including cancer, asthma, chronic obstructive pulmonary disease, and hearing loss, among others. Technological advances may be used to assess the external (e.g. personal sensors, smartphone apps and online platforms, exposure models) and internal exposome (e.g. physiologically based kinetic modeling (PBK), biomonitoring, omics), offering numerous possibilities for chronic disease prevention strategies and risk management measures. The objective of this study was to review the literature on these technologies, by focusing on: (i) evaluating their applicability for exposome research in the oil and gas industry, and (ii) identifying key challenges that may hamper the successful application of such technologies in the oil and gas industry. METHOD A scoping review was conducted by identifying peer-reviewed literature with searches in MEDLINE/PubMed and SciVerse Scopus. Two assessors trained on the search strategy screened retrieved articles on title and abstract. The inclusion criteria used for this review were: application of the aforementioned technologies at a workplace in the oil and gas industry or, application of these technologies for an exposure relevant to the oil and gas industry but in another occupational sector, English language and publication period 2005-end of 2019. RESULTS In total, 72 articles were included in this scoping review with most articles focused on omics and bioinformatics (N = 22), followed by biomonitoring and biomarkers (N = 20), external exposure modeling (N = 11), PBK modeling (N = 10), and personal sensors (N = 9). Several studies were identified in the oil and gas industry on the application of PBK models and biomarkers, mainly focusing on workers exposed to benzene. The application of personal sensors, new types of exposure models, and omics technology are still in their infancy with respect to the oil and gas industry. Nevertheless, applications of these technologies in other occupational sectors showed the potential for application in this sector. DISCUSSION AND CONCLUSION New exposome technologies offer great promise for personal monitoring of workers in the oil and gas industry, but more applied research is needed in collaboration with the industry. Current challenges hindering a successful application of such technologies include (i) the technological readiness of sensors, (ii) the availability of data, (iii) the absence of standardized and validated methods, and (iv) the need for new study designs to study the development of disease during working life.
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Affiliation(s)
| | | | - Miranda Loh
- Institute of Occupational Medicine (IOM), Edinburgh, UK
| | - Karen S Galea
- Institute of Occupational Medicine (IOM), Edinburgh, UK
| | - Konstantinos C Makris
- Cyprus International Institute for Environmental and Public Health, Cyprus University of Technology, Limassol, Cyprus
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11
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Andrianou XD, Pronk A, Galea KS, Stierum R, Loh M, Riccardo F, Pezzotti P, Makris KC. Exposome-based public health interventions for infectious diseases in urban settings. Environ Int 2021; 146:106246. [PMID: 33181410 PMCID: PMC7834142 DOI: 10.1016/j.envint.2020.106246] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [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: 08/04/2020] [Revised: 10/22/2020] [Accepted: 10/22/2020] [Indexed: 05/18/2023]
Abstract
The COVID-19 pandemic placed public health measures against infectious diseases at the core of global health challenges, especially in cities where more than half of the global population lives. SARS-CoV-2 is an exposure agent recently added to the network of exposures that comprise the human exposome, i.e. the totality of all environmental exposures throughout one's lifetime. At the same time, the application of measures to tackle SARS-CoV-2 transmission leads to changes in the exposome components and in characteristics of urban environments that define the urban exposome, a complementary concept to the human exposome, which focuses on monitoring urban health. This work highlights the use of a comprehensive systems-based approach of the exposome for better capturing the population-wide and individual-level variability in SARS-CoV-2 spread and its associated urban and individual exposures towards improved guidance and response. Population characteristics, the built environment and spatiotemporal features of city infrastructure, as well as individual characteristics/parameters, socioeconomic status, occupation and biological susceptibility need to be simultaneously considered when deploying non-pharmacological public health measures. Integrating individual and population characteristics, as well as urban-specific parameters is the prerequisite in urban exposome studies. Applications of the exposome approach in cities/towns could facilitate assessment of health disparities and better identification of vulnerable populations, as framed by multiple environmental, urban design and planning co-exposures. Exposome-based applications in epidemics control and response include the implementation of exposomic tools that have been quite mature in non-communicable disease research, ranging from biomonitoring and surveillance to sensors and modeling. Therefore, the exposome can be a novel tool in risk assessment and management during epidemics and other major public health events. This is a unique opportunity for the research community to exploit the exposome concept and its tools in upgrading and further developing site-specific public health measures in cities.
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Affiliation(s)
- Xanthi D Andrianou
- Cyprus International Institute for Environmental and Public Health, Cyprus University of Technology, Limassol, Cyprus; Department of Infectious Diseases, Italian National Institute of Health, Rome, Italy
| | - Anjoeka Pronk
- The Netherlands Organisation for Applied Scientific Research TNO, Utrecht, the Netherlands
| | - Karen S Galea
- Institute of Occupational Medicine (ΙΟΜ), Edinburgh, UK
| | - Rob Stierum
- The Netherlands Organisation for Applied Scientific Research TNO, Utrecht, the Netherlands
| | - Miranda Loh
- Institute of Occupational Medicine (ΙΟΜ), Edinburgh, UK
| | - Flavia Riccardo
- Department of Infectious Diseases, Italian National Institute of Health, Rome, Italy
| | - Patrizio Pezzotti
- Department of Infectious Diseases, Italian National Institute of Health, Rome, Italy
| | - Konstantinos C Makris
- Cyprus International Institute for Environmental and Public Health, Cyprus University of Technology, Limassol, Cyprus.
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12
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Scholten B, Vlaanderen J, Stierum R, Portengen L, Rothman N, Lan Q, Pronk A, Vermeulen R. A Quantitative Meta-Analysis of the Relation between Occupational Benzene Exposure and Biomarkers of Cytogenetic Damage. Environ Health Perspect 2020; 128:87004. [PMID: 32783535 PMCID: PMC7422719 DOI: 10.1289/ehp6404] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2023]
Abstract
BACKGROUND The genotoxicity of benzene has been investigated in dozens of biomonitoring studies, mainly by studying (classical) chromosomal aberrations (CAs) or micronuclei (MN) as markers of DNA damage. Both have been shown to be predictive of future cancer risk in cohort studies and could, therefore, potentially be used for risk assessment of genotoxicity-mediated cancers. OBJECTIVES We sought to estimate an exposure-response curve (ERC) and quantify between-study heterogeneity using all available quantitative evidence on the cytogenetic effects of benzene exposure on CAs and MN respectively. METHODS We carried out a systematic literature review and summarized all available data of sufficient quality using meta-analyses. We assessed the heterogeneity in slope estimates between studies and conducted additional sensitivity analyses to assess how various study characteristics impacted the estimated ERC. RESULTS Sixteen CA (1,356 individuals) and 13 MN studies (2,097 individuals) were found to be eligible for inclusion in a meta-analysis. Studies where benzene was the primary genotoxic exposure and that had adequate assessment of both exposure and outcomes were used for the primary analysis. Estimated slope estimates were an increase of 0.27% CA [(95% CI: 0.08%, 0.47%); based on the results from 4 studies] and 0.27% MN [(95% CI: -0.23%, 0.76%); based on the results from 7 studies] per parts-per-million benzene exposure. We observed considerable between-study heterogeneity for both end points (I2>90%). DISCUSSION Our study provides a systematic, transparent, and quantitative summary of the literature describing the strong association between benzene exposure and accepted markers of genotoxicity in humans. The derived consensus slope can be used as a best estimate of the quantitative relationship between real-life benzene exposure and genetic damage in future risk assessment. We also quantitate the large between-study heterogeneity that exists in this literature, a factor which is crucial for the interpretation of single-study or consensus slopes. https://doi.org/10.1289/EHP6404.
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Affiliation(s)
- Bernice Scholten
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
- Netherlands Organisation for Applied Scientific Research, Zeist, Netherlands
| | - Jelle Vlaanderen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Rob Stierum
- Netherlands Organisation for Applied Scientific Research, Zeist, Netherlands
| | - Lützen Portengen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Nat Rothman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Rockville, Maryland, USA
| | - Qing Lan
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Rockville, Maryland, USA
| | - Anjoeka Pronk
- Netherlands Organisation for Applied Scientific Research, Zeist, Netherlands
| | - Roel Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
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13
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Nymark P, Bakker M, Dekkers S, Franken R, Fransman W, García-Bilbao A, Greco D, Gulumian M, Hadrup N, Halappanavar S, Hongisto V, Hougaard KS, Jensen KA, Kohonen P, Koivisto AJ, Dal Maso M, Oosterwijk T, Poikkimäki M, Rodriguez-Llopis I, Stierum R, Sørli JB, Grafström R. Toward Rigorous Materials Production: New Approach Methodologies Have Extensive Potential to Improve Current Safety Assessment Practices. Small 2020; 16:e1904749. [PMID: 31913582 DOI: 10.1002/smll.201904749] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [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: 08/23/2019] [Revised: 12/09/2019] [Indexed: 06/10/2023]
Abstract
Advanced material development, including at the nanoscale, comprises costly and complex challenges coupled to ensuring human and environmental safety. Governmental agencies regulating safety have announced interest toward acceptance of safety data generated under the collective term New Approach Methodologies (NAMs), as such technologies/approaches offer marked potential to progress the integration of safety testing measures during innovation from idea to product launch of nanomaterials. Divided in overall eight main categories, searchable databases for grouping and read across purposes, exposure assessment and modeling, in silico modeling of physicochemical structure and hazard data, in vitro high-throughput and high-content screening assays, dose-response assessments and modeling, analyses of biological processes and toxicity pathways, kinetics and dose extrapolation, consideration of relevant exposure levels and biomarker endpoints typify such useful NAMs. Their application generally agrees with articulated stakeholder needs for improvement of safety testing procedures. They further fit for inclusion and add value in nanomaterials risk assessment tools. Overall 37 of 50 evaluated NAMs and tiered workflows applying NAMs are recommended for considering safer-by-design innovation, including guidance to the selection of specific NAMs in the eight categories. An innovation funnel enriched with safety methods is ultimately proposed under the central aim of promoting rigorous nanomaterials innovation.
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Affiliation(s)
- Penny Nymark
- Karolinska Institutet, Institute of Environmental Medicine, Nobels väg 13, 171 77, Stockholm, Sweden
- Department of Toxicology, Misvik Biology, Karjakatu 35 B, 20520, Turku, Finland
| | - Martine Bakker
- National Institute for Public Health and the Environment, RIVM, P.O. Box 1, 3720 BA, Bilthoven, The Netherlands
| | - Susan Dekkers
- National Institute for Public Health and the Environment, RIVM, P.O. Box 1, 3720 BA, Bilthoven, The Netherlands
| | - Remy Franken
- Netherlands Organisation for Applied Scientific Research, TNO, P.O. Box 96800, NL-2509 JE, The Hague, The Netherlands
| | - Wouter Fransman
- Netherlands Organisation for Applied Scientific Research, TNO, P.O. Box 96800, NL-2509 JE, The Hague, The Netherlands
| | - Amaia García-Bilbao
- GAIKER Technology Centre, Parque Tecnológico, Ed. 202, 48170, Zamudio, Bizkaia, Spain
| | - Dario Greco
- Faculty of Medicine and Health Technology, Tampere University, Korkeakoulunkatu 6, 33720, Tampere, Finland
- Institute of Biotechnology, University of Helsinki, P.O. Box 56, FI-00014, Helsinki, Finland
| | - Mary Gulumian
- National Institute for Occupational Health, 25 Hospital St, Constitution Hill, 2000, Johannesburg, South Africa
- Haematology and Molecular Medicine Department, University of the Witwatersrand, 7 York Road, Parktown, 2193, Johannesburg, South Africa
| | - Niels Hadrup
- National Research Center for the Work Environment, Lersø Parkallé 105, 2100, Copenhagen, Denmark
| | - Sabina Halappanavar
- Environmental Health Science and Research Bureau, Health Canada, 50 Colombine Driveway, Ottawa, ON, K1A 0K9, Canada
| | - Vesa Hongisto
- Department of Toxicology, Misvik Biology, Karjakatu 35 B, 20520, Turku, Finland
| | - Karin Sørig Hougaard
- National Research Center for the Work Environment, Lersø Parkallé 105, 2100, Copenhagen, Denmark
| | - Keld Alstrup Jensen
- National Research Center for the Work Environment, Lersø Parkallé 105, 2100, Copenhagen, Denmark
| | - Pekka Kohonen
- Karolinska Institutet, Institute of Environmental Medicine, Nobels väg 13, 171 77, Stockholm, Sweden
- Department of Toxicology, Misvik Biology, Karjakatu 35 B, 20520, Turku, Finland
| | - Antti Joonas Koivisto
- National Research Center for the Work Environment, Lersø Parkallé 105, 2100, Copenhagen, Denmark
| | - Miikka Dal Maso
- Aerosol Physics Laboratory, Physics Unit, Tampere University, Korkeakoulunkatu 6, 33720, Tampere, Finland
| | - Thies Oosterwijk
- Netherlands Organisation for Applied Scientific Research, TNO, P.O. Box 96800, NL-2509 JE, The Hague, The Netherlands
| | - Mikko Poikkimäki
- Aerosol Physics Laboratory, Physics Unit, Tampere University, Korkeakoulunkatu 6, 33720, Tampere, Finland
| | | | - Rob Stierum
- Netherlands Organisation for Applied Scientific Research, TNO, P.O. Box 96800, NL-2509 JE, The Hague, The Netherlands
| | - Jorid Birkelund Sørli
- National Research Center for the Work Environment, Lersø Parkallé 105, 2100, Copenhagen, Denmark
| | - Roland Grafström
- Karolinska Institutet, Institute of Environmental Medicine, Nobels väg 13, 171 77, Stockholm, Sweden
- Department of Toxicology, Misvik Biology, Karjakatu 35 B, 20520, Turku, Finland
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Steckling N, Gotti A, Bose-O'Reilly S, Chapizanis D, Costopoulou D, De Vocht F, Garí M, Grimalt JO, Heath E, Hiscock R, Jagodic M, Karakitsios SP, Kedikoglou K, Kosjek T, Leondiadis L, Maggos T, Mazej D, Polańska K, Povey A, Rovira J, Schoierer J, Schuhmacher M, Špirić Z, Stajnko A, Stierum R, Tratnik JS, Vassiliadou I, Annesi-Maesano I, Horvat M, Sarigiannis DA. Biomarkers of exposure in environment-wide association studies - Opportunities to decode the exposome using human biomonitoring data. Environ Res 2018; 164:597-624. [PMID: 29626821 DOI: 10.1016/j.envres.2018.02.041] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [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: 10/20/2017] [Revised: 02/09/2018] [Accepted: 02/28/2018] [Indexed: 05/20/2023]
Abstract
BACKGROUND The European Union's 7th Framework Programme (EU's FP7) project HEALS - Health and Environment-wide Associations based on Large Population Surveys - aims a refinement of the methodology to elucidate the human exposome. Human biomonitoring (HBM) provides a valuable tool for understanding the magnitude of human exposure from all pathways and sources. However, availability of specific biomarkers of exposure (BoE) is limited. OBJECTIVES The objective was to summarize the availability of BoEs for a broad range of environmental stressors and exposure determinants and corresponding reference and exposure limit values and biomonitoring equivalents useful for unraveling the exposome using the framework of environment-wide association studies (EWAS). METHODS In a face-to-face group discussion, scope, content, and structure of the HEALS deliverable "Guidelines for appropriate BoE selection for EWAS studies" were determined. An expert-driven, distributed, narrative review process involving around 30 individuals of the HEALS consortium made it possible to include extensive information targeted towards the specific characteristics of various environmental stressors and exposure determinants. From the resulting 265 page report, targeted information about BoE, corresponding reference values (e.g., 95th percentile or measures of central tendency), exposure limit values (e.g., the German HBM I and II values) and biomonitoring equivalents (BEs) were summarized and updated. RESULTS 64 individual biological, chemical, physical, psychological and social environmental stressors or exposure determinants were included to fulfil the requirements of EWAS. The list of available BoEs is extensive with a number of 135; however, 12 of the stressors and exposure determinants considered do not leave any measurable specific substance in accessible body specimens. Opportunities to estimate the internal exposure stressors not (yet) detectable in human specimens were discussed. CONCLUSIONS Data about internal exposures are useful to decode the exposome. The paper provides extensive information for EWAS. Information included serves as a guideline - snapshot in time without any claim to comprehensiveness - to interpret HBM data and offers opportunities to collect information about the internal exposure of stressors if no specific BoE is available.
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Affiliation(s)
- Nadine Steckling
- University Hospital Munich, WHO Collaborating Centre for Occupational Health, Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, Unit Global Environmental Health, Ziemssenstr. 1, D-80336 Munich, Germany; Department of Public Health and Health Technology Assessment, Universityfor Health Sciences, Medical Computer Science and Technology, Eduard-Wallnöfer-Zentrum 1, A-6060 Hall in Tirol, Austria.
| | - Alberto Gotti
- Aristotle University of Thessaloniki, School of Engineering, Building D, University Campus, GR-54124, Greece
| | - Stephan Bose-O'Reilly
- University Hospital Munich, WHO Collaborating Centre for Occupational Health, Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, Unit Global Environmental Health, Ziemssenstr. 1, D-80336 Munich, Germany; Department of Public Health and Health Technology Assessment, Universityfor Health Sciences, Medical Computer Science and Technology, Eduard-Wallnöfer-Zentrum 1, A-6060 Hall in Tirol, Austria
| | - Dimitris Chapizanis
- Aristotle University of Thessaloniki, School of Engineering, Building D, University Campus, GR-54124, Greece
| | - Danae Costopoulou
- National Centre for Scientific Research "Demokritos", Neapoleos 27, 15310 Athens, Greece
| | - Frank De Vocht
- Centre for Occupational and Environmental Health, Centre for Epidemiology, Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester M13 9BL, United Kingdom
| | - Mercè Garí
- University Hospital Munich, WHO Collaborating Centre for Occupational Health, Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, Unit Global Environmental Health, Ziemssenstr. 1, D-80336 Munich, Germany; Institute of Environmental Assessment and Water Research - Spanish Council for Scientific Research, Barcelona, Spain
| | - Joan O Grimalt
- Institute of Environmental Assessment and Water Research - Spanish Council for Scientific Research, Barcelona, Spain
| | - Ester Heath
- Jožef Stefan Institute, Department of Environmental Sciences, Jamova cesta 39, 1000 Ljubljana, Slovenia
| | - Rosemary Hiscock
- University of Bath, UK Centre for Tobacco and Alcohol Studies, Department for Health Bath BA2 7AY, United Kingdom
| | - Marta Jagodic
- Jožef Stefan Institute, Department of Environmental Sciences, Jamova cesta 39, 1000 Ljubljana, Slovenia
| | - Spyros P Karakitsios
- Aristotle University of Thessaloniki, School of Engineering, Building D, University Campus, GR-54124, Greece
| | - Kleopatra Kedikoglou
- National Centre for Scientific Research "Demokritos", Neapoleos 27, 15310 Athens, Greece
| | - Tina Kosjek
- Jožef Stefan Institute, Department of Environmental Sciences, Jamova cesta 39, 1000 Ljubljana, Slovenia
| | - Leondios Leondiadis
- National Centre for Scientific Research "Demokritos", Neapoleos 27, 15310 Athens, Greece
| | - Thomas Maggos
- National Centre for Scientific Research "Demokritos", Neapoleos 27, 15310 Athens, Greece
| | - Darja Mazej
- Jožef Stefan Institute, Department of Environmental Sciences, Jamova cesta 39, 1000 Ljubljana, Slovenia
| | - Kinga Polańska
- Nofer Institute of Occupational Medicine, Department of Environmental Epidemiology, 8 Teresy Street, 91-348 Lodz, Poland
| | - Andrew Povey
- Centre for Occupational and Environmental Health, Centre for Epidemiology, Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester M13 9BL, United Kingdom
| | | | - Julia Schoierer
- University Hospital Munich, WHO Collaborating Centre for Occupational Health, Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, Unit Global Environmental Health, Ziemssenstr. 1, D-80336 Munich, Germany
| | | | - Zdravko Špirić
- Green Infrastructure Ltd., Fallerovo setaliste 22, HR-10000 Zagreb, Croatia
| | - Anja Stajnko
- Jožef Stefan Institute, Department of Environmental Sciences, Jamova cesta 39, 1000 Ljubljana, Slovenia
| | - Rob Stierum
- Nederlandse Organisatie voor Toegepast Natuurwetenschappelijk Onderzoek, Zeist, The Netherlands
| | - Janja Snoj Tratnik
- Jožef Stefan Institute, Department of Environmental Sciences, Jamova cesta 39, 1000 Ljubljana, Slovenia
| | - Irene Vassiliadou
- National Centre for Scientific Research "Demokritos", Neapoleos 27, 15310 Athens, Greece
| | | | - Milena Horvat
- Jožef Stefan Institute, Department of Environmental Sciences, Jamova cesta 39, 1000 Ljubljana, Slovenia
| | - Dimosthenis A Sarigiannis
- Aristotle University of Thessaloniki, School of Engineering, Building D, University Campus, GR-54124, Greece
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van Someren E, Mccormack J, Kalkman G, Ezendam J, Olthof E, Jennen D, Kroese D, Stierum R. A systems toxicology approach for liver toxicity: The ASAT approach and infrastructure. Toxicol Lett 2016. [DOI: 10.1016/j.toxlet.2016.06.1270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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Herwig R, Gmuender H, Corvi R, Bloch KM, Brandenburg A, Castell J, Ceelen L, Chesne C, Doktorova TY, Jennen D, Jennings P, Limonciel A, Lock EA, McMorrow T, Phrakonkham P, Radford R, Slattery C, Stierum R, Vilardell M, Wittenberger T, Yildirimman R, Ryan M, Rogiers V, Kleinjans J. Inter-laboratory study of human in vitro toxicogenomics-based tests as alternative methods for evaluating chemical carcinogenicity: a bioinformatics perspective. Arch Toxicol 2015; 90:2215-2229. [PMID: 26525393 DOI: 10.1007/s00204-015-1617-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2015] [Accepted: 10/19/2015] [Indexed: 01/29/2023]
Abstract
The assessment of the carcinogenic potential of chemicals with alternative, human-based in vitro systems has become a major goal of toxicogenomics. The central read-out of these assays is the transcriptome, and while many studies exist that explored the gene expression responses of such systems, reports on robustness and reproducibility, when testing them independently in different laboratories, are still uncommon. Furthermore, there is limited knowledge about variability induced by the data analysis protocols. We have conducted an inter-laboratory study for testing chemical carcinogenicity evaluating two human in vitro assays: hepatoma-derived cells and hTERT-immortalized renal proximal tubule epithelial cells, representing liver and kidney as major target organs. Cellular systems were initially challenged with thirty compounds, genome-wide gene expression was measured with microarrays, and hazard classifiers were built from this training set. Subsequently, each system was independently established in three different laboratories, and gene expression measurements were conducted using anonymized compounds. Data analysis was performed independently by two separate groups applying different protocols for the assessment of inter-laboratory reproducibility and for the prediction of carcinogenic hazard. As a result, both workflows came to very similar conclusions with respect to (1) identification of experimental outliers, (2) overall assessment of robustness and inter-laboratory reproducibility and (3) re-classification of the unknown compounds to the respective toxicity classes. In summary, the developed bioinformatics workflows deliver accurate measures for inter-laboratory comparison studies, and the study can be used as guidance for validation of future carcinogenicity assays in order to implement testing of human in vitro alternatives to animal testing.
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Affiliation(s)
- R Herwig
- Department Computational Molecular Biology, Max-Planck-Institute for Molecular Genetics, Ihnestr. 73, 14195, Berlin, Germany.
| | - H Gmuender
- Genedata AG, Margarethenstrasse 38, 4053, Basel, Switzerland
| | - R Corvi
- European Union Reference Laboratory for Alternatives to Animal Testing (EURL ECVAM), Institute for Health and Consumer Protection (IHCP), European Commission Joint Research Centre, TP 126, Via E. Fermi 2749, 21027, Ispra, Italy
| | - K M Bloch
- School of Pharmacy and Biomolecular Sciences, Liverpool John Moores University, Byrom Street, Liverpool, L3 3AF, UK
| | - A Brandenburg
- Genedata AG, Margarethenstrasse 38, 4053, Basel, Switzerland
| | - J Castell
- Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Valencia, Av. Blasco Ibanez 15, 46010, Valencia, Spain
| | - L Ceelen
- Department of In Vitro Toxicology and Dermato-Cosmetology, Vrije Universiteit Brussel, Laarbeeklaan 103, 1090, Brussels, Belgium
| | - C Chesne
- Biopredic International, Parc d'affaires de la Bretèche, Bldg. A4, 35760, St Gregoire, France
| | - T Y Doktorova
- Department of In Vitro Toxicology and Dermato-Cosmetology, Vrije Universiteit Brussel, Laarbeeklaan 103, 1090, Brussels, Belgium
| | - D Jennen
- Department of Toxicogenomics, Maastricht University, Maastricht, The Netherlands
| | - P Jennings
- Division of Physiology, Department of Physiology and Medical Physics, Medical University of Innsbruck, Innsbruck, Austria
| | - A Limonciel
- Division of Physiology, Department of Physiology and Medical Physics, Medical University of Innsbruck, Innsbruck, Austria
| | - E A Lock
- School of Pharmacy and Biomolecular Sciences, Liverpool John Moores University, Byrom Street, Liverpool, L3 3AF, UK
| | - T McMorrow
- Conway Institute, School of Biomolecular and Biomedical Science, University College Dublin, Belfield, Dublin 4, Ireland
| | - P Phrakonkham
- European Union Reference Laboratory for Alternatives to Animal Testing (EURL ECVAM), Institute for Health and Consumer Protection (IHCP), European Commission Joint Research Centre, TP 126, Via E. Fermi 2749, 21027, Ispra, Italy
| | - R Radford
- Conway Institute, School of Biomolecular and Biomedical Science, University College Dublin, Belfield, Dublin 4, Ireland
| | - C Slattery
- Conway Institute, School of Biomolecular and Biomedical Science, University College Dublin, Belfield, Dublin 4, Ireland
| | - R Stierum
- Department of Risk Analysis for Products in Development, Netherlands Organisation for Applied Scientific Research (TNO), Utrechtseweg 48, 3704 HE, Zeist, The Netherlands
| | - M Vilardell
- Department Computational Molecular Biology, Max-Planck-Institute for Molecular Genetics, Ihnestr. 73, 14195, Berlin, Germany
| | - T Wittenberger
- Genedata AG, Margarethenstrasse 38, 4053, Basel, Switzerland
| | - R Yildirimman
- Department Computational Molecular Biology, Max-Planck-Institute for Molecular Genetics, Ihnestr. 73, 14195, Berlin, Germany
| | - M Ryan
- Conway Institute, School of Biomolecular and Biomedical Science, University College Dublin, Belfield, Dublin 4, Ireland
| | - V Rogiers
- Department of In Vitro Toxicology and Dermato-Cosmetology, Vrije Universiteit Brussel, Laarbeeklaan 103, 1090, Brussels, Belgium
| | - J Kleinjans
- Department of Toxicogenomics, Maastricht University, Maastricht, The Netherlands
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Stierum R, Aarts J, Boorsma A, Bosgra S, Caiment F, Ezendam J, Greupink R, Hendriksen P, Soeteman-Hernandez LG, Jennen D, Kleinjans J, Kroese D, Kuper F, van Loveren H, Monshouwer M, Russel F, van Someren E, Tsamou M, Groothuis G. Assuring safety without animal testing concept (ASAT). Integration of human disease data with in vitro data to improve toxicology testing. Toxicol Lett 2014. [DOI: 10.1016/j.toxlet.2014.06.041] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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18
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van der Veen JW, Soeteman-Hernández LG, Ezendam J, Stierum R, Kuper FC, van Loveren H. Anchoring molecular mechanisms to the adverse outcome pathway for skin sensitization: Analysis of existing data. Crit Rev Toxicol 2014; 44:590-9. [DOI: 10.3109/10408444.2014.925425] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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Kleensang A, Maertens A, Rosenberg M, Fitzpatrick S, Lamb J, Auerbach S, Brennan R, Crofton KM, Gordon B, Fornace AJ, Gaido K, Gerhold D, Haw R, Henney A, Ma'ayan A, McBride M, Monti S, Ochs MF, Pandey A, Sharan R, Stierum R, Tugendreich S, Willett C, Wittwehr C, Xia J, Patton GW, Arvidson K, Bouhifd M, Hogberg HT, Luechtefeld T, Smirnova L, Zhao L, Adeleye Y, Kanehisa M, Carmichael P, Andersen ME, Hartung T. Pathways of Toxicity. ALTEX 2013; 31:53-61. [PMID: 24127042 DOI: 10.14573/altex.1309261] [Citation(s) in RCA: 60] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/26/2013] [Accepted: 09/30/2013] [Indexed: 01/01/2023]
Abstract
Despite wide-spread consensus on the need to transform toxicology and risk assessment in order to keep pace with technological and computational changes that have revolutionized the life sciences, there remains much work to be done to achieve the vision of toxicology based on a mechanistic foundation. To this end, a workshop was organized to explore one key aspect of this transformation - the development of Pathways of Toxicity as a key tool for hazard identification based on systems biology. Several issues were discussed in depth in the workshop: The first was the challenge of formally defining the concept of a Pathway of Toxicity (PoT), as distinct from, but complementary to, other toxicological pathway concepts such as mode of action (MoA). The workshop came up with a preliminary definition of PoT as "A molecular definition of cellular processes shown to mediate adverse outcomes of toxicants". It is further recognized that normal physiological pathways exist that maintain homeostasis and these, sufficiently perturbed, can become PoT. Second, the workshop sought to define the adequate public and commercial resources for PoT information, including data, visualization, analyses, tools, and use-cases, as well as the kinds of efforts that will be necessary to enable the creation of such a resource. Third, the workshop explored ways in which systems biology approaches could inform pathway annotation, and which resources are needed and available that can provide relevant PoT information to the diverse user communities.
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Affiliation(s)
- Andre Kleensang
- Johns Hopkins University, Bloomberg School of Public Health, Center for Alternatives to Animal Testing, Baltimore, MD, USA
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de Groot DM, Radonjic M, Stierum R, Frieke Kuper C, Wolterbeek AP, de Vries EF, van Waarde A, Dierkx RA, Wadman WJ, Cappaert NL. Mechanisms underlying neurodevelopmental defects associated with exposure to methylmercury. A rat model. Reprod Toxicol 2012. [DOI: 10.1016/j.reprotox.2012.05.055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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Beker van Woudenberg A, Gröllers-Mulderij M, Snel C, Jeurissen N, Stierum R, Wolterbeek A. The bovine oocyte in vitro maturation model: a potential tool for reproductive toxicology screening. Reprod Toxicol 2012; 34:251-60. [PMID: 22664270 DOI: 10.1016/j.reprotox.2012.05.098] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2012] [Revised: 05/15/2012] [Accepted: 05/25/2012] [Indexed: 10/28/2022]
Abstract
Reproductive toxicity testing according to the present guidelines requires a high number of animals. Therefore, the development of alternative in vitro methods is urgently required. The aim of the present study was to investigate the applicability domain of the bovine oocyte in vitro maturation assay (bIVM) to study female reproductive toxicology. Therefore, bovine oocytes were exposed to a broad set of chemicals of two distinct biological function groups: (a) affecting female fertility and (b) affecting embryonic development and having a broad range of physical and chemical properties. The endpoints evaluated were the oocyte nuclear maturation (progression of meiosis) and general cytotoxicity. The oocyte nuclear maturation was negatively affected by all compounds tested and the effect was observed at concentrations lower than the cytotoxic ones. The bIVM assay correctly predicted the classification of compounds between those predefined groups. Additionally, the bIVM model contributes significantly for the 3R principle, since no test animals are used in this assay. In conclusion, the bIVM is a sensitive and valuable alternative assay to identify potential chemical hazard on female fertility.
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De Groot D, De Groot D, Kuper F, Radonjic M, Stierum R, Heerschap A, Veltien A, Dierckx R, De Vries E. Imaging and omics in developing and juvenile rats after exposure to TBTO. Toxicol Lett 2012. [DOI: 10.1016/j.toxlet.2012.03.563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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De Groot D, Kuper F, Radonjic M, Stierum R, Wolterbeek A, Heerschap A, Veltien A, Dierckx R, De Vries E. Imaging and ‘omics’ in rats demonstrate impact of juvenile versus developmental exposure to TBTO. Reprod Toxicol 2011. [DOI: 10.1016/j.reprotox.2011.06.080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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Woudenberg ABV, Mulderij M, Stierum R, Wolterbeek A. The oocyte in vitro maturation system: A potential tool for reproductive toxicology screening. Reprod Toxicol 2011. [DOI: 10.1016/j.reprotox.2011.06.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Beker van Woudenberg AR, Mulderij M, Wolterbeek A, Stierum R. The Potential of the Oocyte In Vitro Maturation System for the Reproductive Toxicology. Biol Reprod 2010. [DOI: 10.1093/biolreprod/83.s1.274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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26
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Staal Y, Wierling C, Herwig R, Stierum R. Creation of compound specific pathways for bioinformatics analysis of toxicogenomics datasets from EU 6th framework Carcinogenomics. Toxicol Lett 2008. [DOI: 10.1016/j.toxlet.2008.06.389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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27
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kuper CF, Heijne WHM, Dansen M, Verhoeckx KCM, Boorsma A, Radonjic M, Bruijntjes J, Stierum R, Muijser H, Arts JHE. Molecular Characterization of Trimellitic Anhydride–induced Respiratory Allergy in Brown Norway Rats. Toxicol Pathol 2008; 36:985-98. [DOI: 10.1177/0192623308327410] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
To contribute to the hazard identification of low molecular weight (LMW) respiratory allergens, respiratory allergy induced by trimellitic anhydride (TMA) was characterized by whole genome analysis of lung tissue and blood proteomics in Brown Norway rats. Dermal sensitization (50% and 25% w/v) with TMA and an inhalation challenge of 15 mg/m3 TMA-induced apneas, laryngeal inflammation, increased numbers of eosinophils, neutrophils and macrophages in bronchoalveolar lavage (BAL), and increased immunoglobulin E levels in serum and lung tissue. Whole genome analysis of lung, sampled 24 hours after challenge, showed expression changes of not only genes belonging to several Gene Ontology groups with up-regulation of inflammatory-associated genes and those associated with lung remodeling but also genes involved in downsizing these processes. Blood proteomics reflected activation of inflammation-inhibiting pathways. Unsensitized animals challenged with TMA exhibited also an increased number of macrophages in BAL, but gene expression in the above-mentioned gene pathways was unchanged or down-regulated. The authors conclude that parameters for lung remodeling can be a valuable tool in hazard identification of LMW respiratory allergens.
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Affiliation(s)
| | - Wilbert H. M. Heijne
- TNO Quality of Life, Zeist, the Netherlands
- DSM Food Specialties, R&D Genetics, Delft, the Netherlands
| | | | | | | | | | | | | | | | - Josje H. E. Arts
- TNO Quality of Life, Zeist, the Netherlands
- Akzo Nobel, Technology & Engineering, Arnhem, the Netherlands
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Stierum R, Conesa A, Heijne W, Ommen BV, Junker K, Scott MP, Price RJ, Meredith C, Lake BG, Groten J. Transcriptome analysis provides new insights into liver changes induced in the rat upon dietary administration of the food additives butylated hydroxytoluene, curcumin, propyl gallate and thiabendazole. Food Chem Toxicol 2008; 46:2616-28. [PMID: 18539377 DOI: 10.1016/j.fct.2008.04.019] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2007] [Revised: 03/31/2008] [Accepted: 04/21/2008] [Indexed: 12/19/2022]
Abstract
Transcriptomics was performed to gain insight into mechanisms of food additives butylated hydroxytoluene (BHT), curcumin (CC), propyl gallate (PG), and thiabendazole (TB), additives for which interactions in the liver can not be excluded. Additives were administered in diets for 28 days to Sprague-Dawley rats and cDNA microarray experiments were performed on hepatic RNA. BHT induced changes in the expression of 10 genes, including phase I (CYP2B1/2; CYP3A9; CYP2C6) and phase II metabolism (GST mu2). The CYP2B1/2 and GST expression findings were confirmed by real time RT-PCR, western blotting, and increased GST activity towards DCNB. CC altered the expression of 12 genes. Three out of these were related to peroxisomes (phytanoyl-CoA dioxygenase, enoyl-CoA hydratase; CYP4A3). Increased cyanide insensitive palmitoyl-CoA oxidation was observed, suggesting that CC is a weak peroxisome proliferator. TB changed the expression of 12 genes, including CYP1A2. In line, CYP1A2 protein expression was increased. The expression level of five genes, associated with p53 was found to change upon TB treatment, including p53 itself, GADD45alpha, DN-7, protein kinase C beta and serum albumin. These array experiments led to the novel finding that TB is capable of inducing p53 at the protein level, at least at the highest dose levels employed above the current NOAEL. The expression of eight genes changed upon PG administration. This study shows the value of gene expression profiling in food toxicology in terms of generating novel hypotheses on the mechanisms of action of food additives in relation to pathology.
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Affiliation(s)
- Rob Stierum
- TNO Quality of Life, Business Unit Biosciences, P.O. Box 360, 3700 AJ Zeist, The Netherlands.
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Kuper F, Verhoekcx K, Boorsma A, Stierum R, Arts J. Lung response in TMA-induced respiratory allergy in Brown Norway rats. Toxicol Lett 2007. [DOI: 10.1016/j.toxlet.2007.05.381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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Radonjic M, Schoen E, Lake B, Groten J, Stierum R. Toxicogenomics analysis of the hepatic effects of mixtures of butylated hydroxytoluene, curcumin, propyl gallate and thiabendazole in Sprague–Dawley rats. Toxicol Lett 2007. [DOI: 10.1016/j.toxlet.2007.05.504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Stierum R, Heijne W, Kienhuis A, van Ommen B, Groten J. Toxicogenomics concepts and applications to study hepatic effects of food additives and chemicals. Toxicol Appl Pharmacol 2005; 207:179-88. [PMID: 16139318 DOI: 10.1016/j.taap.2005.01.050] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2004] [Revised: 01/19/2005] [Accepted: 01/31/2005] [Indexed: 10/25/2022]
Abstract
Transcriptomics, proteomics and metabolomics are genomics technologies with great potential in toxicological sciences. Toxicogenomics involves the integration of conventional toxicological examinations with gene, protein or metabolite expression profiles. An overview together with selected examples of the possibilities of genomics in toxicology is given. The expectations raised by toxicogenomics are earlier and more sensitive detection of toxicity. Furthermore, toxicogenomics will provide a better understanding of the mechanism of toxicity and may facilitate the prediction of toxicity of unknown compounds. Mechanism-based markers of toxicity can be discovered and improved interspecies and in vitro-in vivo extrapolations will drive model developments in toxicology. Toxicological assessment of chemical mixtures will benefit from the new molecular biological tools. In our laboratory, toxicogenomics is predominantly applied for elucidation of mechanisms of action and discovery of novel pathway-supported mechanism-based markers of liver toxicity. In addition, we aim to integrate transcriptome, proteome and metabolome data, supported by bioinformatics to develop a systems biology approach for toxicology. Transcriptomics and proteomics studies on bromobenzene-mediated hepatotoxicity in the rat are discussed. Finally, an example is shown in which gene expression profiling together with conventional biochemistry led to the discovery of novel markers for the hepatic effects of the food additives butylated hydroxytoluene, curcumin, propyl gallate and thiabendazole.
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Affiliation(s)
- Rob Stierum
- Physiological Sciences Department, TNO Quality of Life, Zeist, The Netherlands.
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Stierum R, Gaspari M, Dommels Y, Ouatas T, Pluk H, Jespersen S, Vogels J, Verhoeckx K, Groten J, van Ommen B. Proteome analysis reveals novel proteins associated with proliferation and differentiation of the colorectal cancer cell line Caco-2. Biochim Biophys Acta 2003; 1650:73-91. [PMID: 12922171 DOI: 10.1016/s1570-9639(03)00204-8] [Citation(s) in RCA: 97] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Here, we describe a proteomics approach to study protein expression changes in differentiating Caco-2 cells. Caco-2 is a colorectal carcinoma cell line, which upon differentiation loses its tumorigenic phenotype and displays characteristics of mature enterocytes, including brush borders with microvilli. Cells were grown in culture flasks and harvested at different stages of differentiation (days post-confluence: -3, 0, 3, 7, 10, 14, and 18). Two-dimensional gel electrophoresis was used to analyse proteome changes. Approximately 1400 protein spots were detected within the Caco-2 proteome, within the pH 4-7 range. Two-dimensional gel electrophoresis allowed for the detection of 18 proteins from which the levels of expression were found to be associated with differentiation. Of these proteins, 11 were identified by means of MALDI-TOF or NANO-ESI-MS/MS mass spectrometry and include liver fatty acid binding protein (FABL), three forms of alpha-enolase (ENOA), nucleoside diphosphate kinase A (NDKA), cofilin-1 (COF1), translationally controlled tumour protein (TCTP), mitochondrial 60-kDa heat shock protein (CH60), probable protein disulfide isomerase (ER60), creatine kinase B (KCRB), and glutathione S-transferase alpha (GTA1). Thus, proteomics revealed that the differentiation-related change in phenotype of Caco-2 involves changes in a variety of distinct biochemical pathways. Some of these proteins have not been shown before to be associated with Caco-2 differentiation (ER60; COF1; CH60; NDKA; TCTP and ENOA). Therefore, processes related to protein folding and disulfide bridge formation, cytoskeleton formation and maintenance, nucleotide metabolism, glycolysis as well as tumorigenesis-associated proteins may be involved in Caco-2 differentiation. Changes in the expression of CH60, TCTP, GTA1, NDKA, and FABL have also been reported to be associated with in vivo colon carcinogenesis. These findings illustrate that a combination of proteomics and cell culture is a useful approach to find markers for Caco-2 differentiation, which could contribute to the comprehension of the process of colon carcinogenesis.
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Affiliation(s)
- Rob Stierum
- TNO Nutrition and Food Research, Department of Biomolecular Sciences, P.O. Box 360, 3700 AJ, Zeist, The Netherlands.
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Abstract
Nutritional sciences are discovering the application of the so-called "omics" sciences. Propelled by the recent unravelling of the human genome and the coinciding technological developments, genotyping, transcriptomics, proteomics and metabolomics are now available to nutritional research. In the future we are likely to see new screening tools for the selection of bioactive nutrients, new biomarkers for the in vivo efficacy of nutrients, and better insight into the influence of genetic polymorphisms on nutrient metabolism. However, are these promises just based on biotechnological hype or is a real fundamental change in human nutritional sciences at hand?
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Affiliation(s)
- Ben van Ommen
- TNO Nutrition and Food Research, PO Box 360, 3700 AJ Zeist, The Netherlands.
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Stierum R, Burgemeister R, van Helvoort A, Peijnenburg A, Schütze K, Seidelin M, Vang O, van Ommen B. Functional food ingredients against colorectal cancer. An example project integrating functional genomics, nutrition and health. Nutr Metab Cardiovasc Dis 2001; 11:94-98. [PMID: 11894763] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/24/2023]
Abstract
Functional Food Ingredients Against Colorectal Cancer is one of the first European Union funded Research Projects at the cross-road of functional genomics [comprising transcriptomics, the measurement of the expression of all messengers RNA (mRNAs) and proteomics, the measurement of expression/state of all proteins], nutrition and human health. The goal of Functional Food Ingredients Against Colorectal Cancer is to develop a colon epithelial cell line-based screening assay for nutrients with presumed anti-colorectal carcinogenic properties. Genes involved in colon carcinogenesis are identified at the RNA and protein level, using a variety of methods (subtractive hybridisation, DNA microarray, proteomics) in combination with models for colorectal cancer development (human biopsies, rat model for colorectal carcinogenesis, colorectal cancer epithelial cell lines). Secondly, colorectal cancer epithelial cell lines are selected, in terms of their capacity to undergo gene/protein expression changes representing different phases in the colorectal carcinogenesis. Thirdly, these cell lines are used to determine the effects of nutrients with presumed anti-carcinogenic properties (e.g. resveratrol, flavonoids) on functional genomics-derived endpoints. Once validated against the effects of these nutrients in in vivo animal models and classical biomarkers for colorectal carcinogenesis, these cell line models combined with functional genomics represent useful tools to study colorectal carcinogenesis and screen for nutrients with anti-carcinogenic properties.
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Affiliation(s)
- R Stierum
- TNO Nutrition and Food Research, P.O. Box 360, 3700 AJ Zeist, Netherlands
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Hageman G, Welle I, Stierum R, Albering H, Kleinjans J. Detection of 6-thioguanine-resistant human peripheral blood lymphocytes using 5-bromodeoxyuridine labeling in combination with immunocytochemical staining. Mutagenesis 1993; 8:495-501. [PMID: 8133778 DOI: 10.1093/mutage/8.6.495] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.3] [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: 01/29/2023] Open
Abstract
Measurement of frequencies of 6-thioguanine-resistant (TGr) human peripheral lymphocytes may contribute to quantitative genetic risk assessment in occupationally or environmentally exposed human populations. A simple procedure for the detection of TGr human peripheral blood lymphocytes was developed in our laboratory, using whole blood culturing and 5-bromodeoxyuridine (BrdU) labeling in combination with immunocytochemical staining. Modifications of the procedure designed to reduce the false positive effects of spontaneously cycling lymphocytes (phenocopies), and to optimize duration of BrdU labeling and the culturing period, were evaluated. A standard procedure was developed which applied 24 h cold storage of the diluted heparinized blood (1:10, v:v in RPMI 1640 medium) at 4 degrees C to reduce the effect of spontaneously cycling lymphocytes, and whole blood culturing in RPMI 1640 complete medium with stimulation of T lymphocytes using phytohemagglutinin (PHA), selection of TGr lymphocytes by adding TG to a final concentration of 2 x 10(-4) M and, after 24 h of incubation, labeling of TGr lymphocytes with 2.5 x 10(-5) M BrdU during 16 h. Using this standard procedure, frequencies of TGr cells in 45 healthy individuals (aged 21-64) were observed to range from 0.3 to 229.8 x 10(-6), with a mean variant frequency (VF) (+/- SD) of 136 x 10(-6) (+/- 35.8). After exclusion of the one extremely high value of 229.8 x 10(-6), mean VF was 8.7 x 10(-6) (+/- 14.1). A significant inverse correlation was found between logVF and the labeling index of control cultures (LIc), indicating that cultures with low LIc tend to yield higher VF.(ABSTRACT TRUNCATED AT 250 WORDS)
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Affiliation(s)
- G Hageman
- Department of Health Risk Analysis and Toxicology, University of Limburg, Maastricht, The Netherlands
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