Human Biomonitoring in Health Risk Assessment Current Practices and Recommendations for the Future

Europe's zero-pollution agenda should depart from an understanding of how the European citizens' bodies are polluted by synthetic chemicals and prioritize the reduction of the chemical body burden and associated health impacts. In this context, Human Biomonitoring (HBM) is an important and...

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Bibliographic Details
Other Authors: Rousselle, Christophe (Editor)
Format: Electronic Book Chapter
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
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520 |a Europe's zero-pollution agenda should depart from an understanding of how the European citizens' bodies are polluted by synthetic chemicals and prioritize the reduction of the chemical body burden and associated health impacts. In this context, Human Biomonitoring (HBM) is an important and valuable tool for assessing the internal exposure of humans resulting from aggregated exposure to chemicals. Though many obstacles still hinder the use of HBM data, the growing availability of HBM data offers an opportunity for improving and refining Human Risk Assessment. This Special Issue intends to illustrate, using case studies, how HBM data could be used to better estimate internal exposure and resulting risks. Case studies on exposure from consumer products (cosmetic products, non-food products, etc.) or exposures via food or water in the general population or among workers contributed to better identifying the obstacles hindering a broader use of HBM data in RA. A better understanding of population exposure and the exposure of vulnerable groups against health-based human biomonitoring guidance values also provides the basis for effective risk management to reduce impacts on health. I would like to thank all the authors for submitting their original contributions to this Special Issue. We greatly appreciate the support of all the reviewers who spent time evaluating and improving the quality of the manuscripts. I would also like to thank the editors of Toxics for their kind invitation and Selena Li of the Toxics Editorial Office for her invaluable support. 
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650 7 |a Medicine  |2 bicssc 
650 7 |a Medical toxicology  |2 bicssc 
653 |a biomonitoring 
653 |a nanoparticles 
653 |a lung diseases 
653 |a mineralogical analysis of broncho-alveolar lavages 
653 |a occupational exposure 
653 |a human biomonitoring 
653 |a UV filters 
653 |a benzophenone-3 
653 |a HBM4EU 
653 |a risk assessment 
653 |a RCR 
653 |a margin of safety 
653 |a oxidative stress 
653 |a MDA 
653 |a systematic review 
653 |a meta-analysis 
653 |a urinary biomarker 
653 |a reference range 
653 |a general population 
653 |a pesticides 
653 |a exposure 
653 |a operators 
653 |a workers 
653 |a residents 
653 |a bystanders 
653 |a tree-grown produce 
653 |a fruits 
653 |a vine 
653 |a systemic exposure 
653 |a paints production 
653 |a TiO2 powders 
653 |a biological monitoring 
653 |a exhaled breath condensate 
653 |a occupational health 
653 |a ortho-toluidine 
653 |a urinary mass-balance 
653 |a PBPK modelling 
653 |a human biomonitoring (HBM) 
653 |a internal exposure 
653 |a biomarkers 
653 |a endocrine disruptors 
653 |a bisphenol A (BPA) 
653 |a bisphenol S (BPS) 
653 |a bisphenols 
653 |a human biomonitoring guidance value (HBM-GV) 
653 |a physiologically based pharmacokinetic modelling (PBPK) 
653 |a organophosphorus flame retardants 
653 |a dietary exposure 
653 |a children 
653 |a malondialdehyde 
653 |a reference values 
653 |a benzene 
653 |a COVID-19 pandemic 
653 |a lockdown 
653 |a Rome 
653 |a elements 
653 |a urban traffic 
653 |a metabolomics 
653 |a dimethylformamide 
653 |a DMF 
653 |a HBM-GV 
653 |a guidance value 
653 |a biomarker 
653 |a toxicokinetics 
653 |a health effects 
653 |a liver 
653 |a carcinogenicity 
653 |a reprotoxic effects 
653 |a chlorpyrifos 
653 |a pesticide exposure 
653 |a pesticide risk assessment 
653 |a mercury 
653 |a methylmercury 
653 |a European Human Biomonitoring Initiative (HBM4EU) 
653 |a co-exposure 
653 |a workplace 
653 |a mixture risk assessment (MRA) 
653 |a adipose tissue 
653 |a meta-regression 
653 |a partition coefficients 
653 |a persistent organic pollutants 
653 |a n/a 
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