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Reale E, Zare Jeddi M, Paini A, Connolly A, Duca R, Cubadda F, Benfenati E, Bessems J, S Galea K, Dirven H, Santonen T, M Koch H, Jones K, Sams C, Viegas S, Kyriaki M, Campisi L, David A, Antignac JP, B Hopf N. Human biomonitoring and toxicokinetics as key building blocks for next generation risk assessment. ENVIRONMENT INTERNATIONAL 2024; 184:108474. [PMID: 38350256 DOI: 10.1016/j.envint.2024.108474] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 12/15/2023] [Accepted: 02/01/2024] [Indexed: 02/15/2024]
Abstract
Human health risk assessment is historically built upon animal testing, often following Organisation for Economic Co-operation and Development (OECD) test guidelines and exposure assessments. Using combinations of human relevant in vitro models, chemical analysis and computational (in silico) approaches bring advantages compared to animal studies. These include a greater focus on the human species and on molecular mechanisms and kinetics, identification of Adverse Outcome Pathways and downstream Key Events as well as the possibility of addressing susceptible populations and additional endpoints. Much of the advancement and progress made in the Next Generation Risk Assessment (NGRA) have been primarily focused on new approach methodologies (NAMs) and physiologically based kinetic (PBK) modelling without incorporating human biomonitoring (HBM). The integration of toxicokinetics (TK) and PBK modelling is an essential component of NGRA. PBK models are essential for describing in quantitative terms the TK processes with a focus on the effective dose at the expected target site. Furthermore, the need for PBK models is amplified by the increasing scientific and regulatory interest in aggregate and cumulative exposure as well as interactions of chemicals in mixtures. Since incorporating HBM data strengthens approaches and reduces uncertainties in risk assessment, here we elaborate on the integrated use of TK, PBK modelling and HBM in chemical risk assessment highlighting opportunities as well as challenges and limitations. Examples are provided where HBM and TK/PBK modelling can be used in both exposure assessment and hazard characterization shifting from external exposure and animal dose/response assays to animal-free, internal exposure-based NGRA.
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Affiliation(s)
- Elena Reale
- Centre for Primary Care and Public Health (Unisanté), University of Lausanne, Switzerland
| | - Maryam Zare Jeddi
- National Institute for Public Health and the Environment (RIVM), the Netherlands
| | | | - Alison Connolly
- UCD Centre for Safety & Health at Work, School of Public Health, Physiotherapy, and Sports Science, University College Dublin, D04 V1W8, Dublin, Ireland for Climate and Air Pollution Studies, Physics, School of Natural Science and the Ryan Institute, National University of Ireland, University Road, Galway H91 CF50, Ireland
| | - Radu Duca
- Unit Environmental Hygiene and Human Biological Monitoring, Department of Health Protection, Laboratoire national de santé (LNS), 1, Rue Louis Rech, 3555 Dudelange, Luxembourg; Environment and Health, Department of Public Health and Primary Care, KU Leuven, Kapucijnenvoer 35, 3000 Leuven, Belgium
| | - Francesco Cubadda
- Istituto Superiore di Sanità - National Institute of Health, Viale Regina Elena 299, 00161 Rome, Italy
| | - Emilio Benfenati
- Department of Environmental Health Sciences, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Via Mario Negri 2, 20156 Milano, Italy
| | - Jos Bessems
- VITO HEALTH, Flemish Institute for Technological Research, 2400 Mol, Belgium
| | - Karen S Galea
- Institute of Occupational Medicine (IOM), Research Avenue North, Riccarton, Edinburgh EH14 4AP, UK
| | - Hubert Dirven
- Department of Climate and Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Tiina Santonen
- Finnish Institute of Occupational Health (FIOH), P.O. Box 40, FI-00032 Työterveyslaitos, Finland
| | - Holger M Koch
- Institute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr University Bochum (IPA), Bürkle-de-la-Camp-Platz 1, 44789 Bochum, Germany
| | - Kate Jones
- HSE - Health and Safety Executive, Harpur Hill, Buxton SK17 9JN, UK
| | - Craig Sams
- HSE - Health and Safety Executive, Harpur Hill, Buxton SK17 9JN, UK
| | - Susana Viegas
- NOVA National School of Public Health, Public Health Research Centre, Comprehensive Health Research Center, CHRC, NOVA University Lisbon, Lisbon, Portugal
| | - Machera Kyriaki
- Benaki Phytopathological Institute, 8, Stephanou Delta Street, 14561 Kifissia, Athens, Greece
| | - Luca Campisi
- Department of Pharmacy, University of Pisa, Via Bonanno 6, 56126 Pisa, Italy; Flashpoint srl, Via Norvegia 56, 56021 Cascina (PI), Italy
| | - Arthur David
- Univ Rennes, Inserm, EHESP, Irset (Institut de Recherche en Santé, Environnement et Travail)-UMR_S 1085, F-35000 Rennes, France
| | | | - Nancy B Hopf
- Centre for Primary Care and Public Health (Unisanté), University of Lausanne, Switzerland.
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Liang X, Su W, Chang AK, Zhuang C, Pei Y, Ai J, Li H, Liu K, Li J, Fu H, Liu Y, Liu W, Zhang X. Toxicokinetics of Two Oxathiapiprolin Enantiomers in Rats and Their Stereoselective Interaction with Oxysterol Binding Protein. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2022; 70:12180-12188. [PMID: 36121774 DOI: 10.1021/acs.jafc.2c02882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Oxathiapiprolin is a chiral fungicide, and it can affect the metabolism of the cholesterol compounds by inhibiting oxysterol binding protein (OSBP) to exert its fungicidal effect. The application of oxathiapiprolin in agriculture is widespread, and its residue in the environment is a threat to both human and animal health. The two oxathiapiprolin enantiomers differ in their fungicidal activity, biotoxicity, and degradation by environmental forces. However, their biotoxicity has not been reported in animals. The toxicokinetics of a pesticide should be a crucial component for the evaluation of its toxicity in vivo. In this study, we investigated the absorption, bioavailability, tissue distribution, and excretion of the two oxathiapiprolin enantiomers in rats to verify their toxicokinetic process in animals. An ultrahigh-performance liquid chromatography triple quadrupole tandem mass spectrometry (UHPLC-QQQ/MS) method was established to quantify the two oxathiapiprolin enantiomers in vivo. The two oxathiapiprolin enantiomers were found to have approximately the same absorption rate and bioavailability, and both were excreted mainly in the feces. The half-life of R-(-)-oxathiapiprolin was nearly twice that of S-(+)-oxathiapiprolin. R-(-)-oxathiapiprolin also had greater distribution than S-(+)-oxathiapiprolin in the liver, lungs, heart, spleen, kidneys, stomach, large intestine, small intestine, brain, and pancreas, supporting the notion that R-(-)-oxathiapiprolin could better bind with OSBP. The stereoselectivity of S-(+)-oxathiapiprolin in these tissues may be responsible for it being readily metabolized in vivo. The molecular docking technique was subsequently used to verify the more superior binding between R-(-)-oxathiapiprolin and OSBP compared with the binding between S-(+)-oxathiapiprolin and OSBP. The findings of this study could provide more reliable data for determining the toxicokinetics of a single enantiomer of oxathiapiprolin in animals, thereby providing some theoretical basis for its subsequent toxicological study.
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Affiliation(s)
- Xiao Liang
- College of Pharmacy, Liaoning University, 66 Chongshan Road, Shenyang 110036, Liaoning Province, P.R. China
| | - Weiping Su
- College of Pharmacy, Liaoning University, 66 Chongshan Road, Shenyang 110036, Liaoning Province, P.R. China
| | - Alan Kueichieh Chang
- College of Life and Environmental Sciences, Wenzhou University, Wenzhou 325035, Zhejiang Province, P.R. China
| | - Chuchu Zhuang
- College of Pharmacy, Liaoning University, 66 Chongshan Road, Shenyang 110036, Liaoning Province, P.R. China
| | - Ying Pei
- College of Pharmacy, Liaoning University, 66 Chongshan Road, Shenyang 110036, Liaoning Province, P.R. China
| | - Jiao Ai
- College of Pharmacy, Liaoning University, 66 Chongshan Road, Shenyang 110036, Liaoning Province, P.R. China
| | - Haoran Li
- College of Pharmacy, Liaoning University, 66 Chongshan Road, Shenyang 110036, Liaoning Province, P.R. China
| | - Kai Liu
- College of Pharmacy, Liaoning University, 66 Chongshan Road, Shenyang 110036, Liaoning Province, P.R. China
| | - Jianxin Li
- College of Pharmacy, Liaoning University, 66 Chongshan Road, Shenyang 110036, Liaoning Province, P.R. China
| | - Hongfei Fu
- College of Pharmacy, Liaoning University, 66 Chongshan Road, Shenyang 110036, Liaoning Province, P.R. China
| | - Yuting Liu
- College of Pharmacy, Liaoning University, 66 Chongshan Road, Shenyang 110036, Liaoning Province, P.R. China
| | - Wenbao Liu
- College of Pharmacy, Liaoning University, 66 Chongshan Road, Shenyang 110036, Liaoning Province, P.R. China
| | - Xinzhong Zhang
- Research Center of Quality Safety for Agricultural Products, Tea Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou 310008, P. R. China
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