Chrome Extension
WeChat Mini Program
Use on ChatGLM

Development of a Roadmap for Action on New Approach Methodologies in Risk Assessment

EFSA Supporting Publications(2022)

Cited 12|Views11
No score
Abstract
EFSA Supporting PublicationsVolume 19, Issue 6 7341E External scientific reportOpen Access Development of a Roadmap for Action on New Approach Methodologies in Risk Assessment Sylvia E. Escher, Corresponding Author Sylvia E. Escher [email protected] Fraunhofer ITEM Correspondence:[email protected]Search for more papers by this authorFalko Partosch, Falko Partosch Fraunhofer ITEMSearch for more papers by this authorSebastian Konzok, Sebastian Konzok Fraunhofer ITEMSearch for more papers by this authorPaul Jennings, Paul Jennings Vrije Universiteit AmsterdamSearch for more papers by this authorMirjam Luijten, Mirjam Luijten National Institute for Public Health and the EnvironmentSearch for more papers by this authorAnne Kienhuis, Anne Kienhuis National Institute for Public Health and the EnvironmentSearch for more papers by this authorVictoria de Leeuw, Victoria de Leeuw National Institute for Public Health and the EnvironmentSearch for more papers by this authorRosmarie Reuss, Rosmarie Reuss Eura AGSearch for more papers by this authorKatrina-Magdalena Lindemann, Katrina-Magdalena Lindemann Eura AGSearch for more papers by this authorSusanne Hougaard Bennekou, Susanne Hougaard Bennekou The National Food Institute DenmarkSearch for more papers by this author Sylvia E. Escher, Corresponding Author Sylvia E. Escher [email protected] Fraunhofer ITEM Correspondence:[email protected]Search for more papers by this authorFalko Partosch, Falko Partosch Fraunhofer ITEMSearch for more papers by this authorSebastian Konzok, Sebastian Konzok Fraunhofer ITEMSearch for more papers by this authorPaul Jennings, Paul Jennings Vrije Universiteit AmsterdamSearch for more papers by this authorMirjam Luijten, Mirjam Luijten National Institute for Public Health and the EnvironmentSearch for more papers by this authorAnne Kienhuis, Anne Kienhuis National Institute for Public Health and the EnvironmentSearch for more papers by this authorVictoria de Leeuw, Victoria de Leeuw National Institute for Public Health and the EnvironmentSearch for more papers by this authorRosmarie Reuss, Rosmarie Reuss Eura AGSearch for more papers by this authorKatrina-Magdalena Lindemann, Katrina-Magdalena Lindemann Eura AGSearch for more papers by this authorSusanne Hougaard Bennekou, Susanne Hougaard Bennekou The National Food Institute DenmarkSearch for more papers by this author First published: 03 June 2022 https://doi.org/10.2903/sp.efsa.2022.EN-7341Citations: 2 Question number: EFSA-Q-2022-00231 Disclaimer: The present document has been produced and adopted by the bodies identified above as author(s). This task has been carried out exclusively by the author(s) in the context of a contract between the European Food Safety Authority and the author(s), awarded following a tender procedure. The present document is published complying with the transparency principle to which the Authority is subject. It may not be considered as an output adopted by the Authority. The European Food Safety Authority reserves its rights, view and position as regards the issues addressed and the conclusions reached in the present document, without prejudice to the rights of the authors. Amendment: This version was revised by adding information on the Terms of Reference of the contract, as requested by the EFSA template for external scientific reports (page 5). This editorial correction does not materially affect the contents or outcome of this scientific output. To avoid confusion, the original version of the output has been removed from the EFSA Journal but is available on request. Appendices A, B, C and D are available under the Supporting Information section. Appendix E (NAMs roadmap slide show) is available on the YouTube EFSAchannel;https://youtu.be/BxSZrdrVxyY. AboutPDF ToolsExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Abstract While whole animal studies have their place in risk assessment of food and feed components, it is thought that more modern approaches such as human focused new approached methodologies (NAMs) would bring advantages including a greater focus to the human species, a focus on molecular mechanism and kinetics and the possibility of addressing susceptible populations. This report outlines the thinking from the authors and culminates in activity proposals in seven distinct but interacting scientific areas i.e. development of additional AOPs/AOP networks (AOPs), advanced cell culture models including Organ on a chip (OoC), toxicokinetic assessment with a focus on physiological based kinetic modelling (PBK), exposome, human susceptibility, data integration and new concepts in human risk assessment. Furthermore, the development of a Forum is proposed to facilitate the implementation of new approaches and concepts in risk assessment. The report was compiled by the project team, renowned experts in the various areas, and recommendations were discussed with EFSA and further refined following consultation with external experts via a dedicated workshop. The authors are convinced that if the recommendations are taken up, there will be a significant impact in the field, resulting in increasing the uptake and utilisation of these emerging technologies by all stakeholders involved. References Abdelsalam NA, Ramadan AT, et al. 2020. Toxicomicrobiomics: The Human Microbiome vs. Pharmaceutical, Dietary, and Environmental Xenobiotics. Front Pharmacol, 11, 390. https://doi.org/10.3389/fphar.2020.00390. Adami Hans-Olov, Berry Sir Colin L, Breckenridge Charles B, Smith Lewis L, Swenberg James A, Trichopoulos Dimitrios, Weiss Noel S and Pastoor Timothy P 2011. Toxicology and epidemiology: improving the science with a framework for combining toxicological and epidemiological evidence to establish causal inference. Toxicological Sciences : an Official Journal of the Society of Toxicology, 1222pp. 223– 234. https://doi.org/10.1093/toxsci/kfr113. Albrecht Wiebke, Kappenberg Franziska, Brecklinghaus Tim, Stoeber Regina, Marchan Rosemarie, Zhang Mian, Ebbert Kristina, Kirschner Hendrik, Grinberg Marianna, Leist Marcel, Moritz Wolfgang, Cadenas Cristina, Ghallab Ahmed, Reinders Jörg, Vartak Nachiket, van Thriel Christoph, Golka Klaus, Tolosa Laia, Castell José V, Damm Georg, Seehofer Daniel, Lampen Alfonso, Braeuning Albert, Buhrke Thorsten, Behr Anne-Cathrin, Oberemm Axel, Gu Xiaolong, Kittana Naim, van de Water Bob, Kreiling Reinhard, Fayyaz Susann, van Aerts Leon, Smedsrød Bård, Ellinger-Ziegelbauer Heidrun, Steger-Hartmann Thomas, Gundert-Remy Ursula, Zeigerer Anja, Ullrich Anett, Runge Dieter, Lee Serene M L, Schiergens Tobias S, Kuepfer Lars, Aguayo-Orozco Alejandro, Sachinidis Agapios, Edlund Karolina, Gardner Iain, Rahnenführer Jörg and Hengstler Jan G 2019. Prediction of human drug-induced liver injury (DILI) in relation to oral doses and blood concentrations. Archives of Toxicology, 936pp. 1609– 1637. https://doi.org/10.1007/s00204-019-02492-9. Alexander-White Camilla, Bury Dagmar, Cronin Mark, Dent Matthew, Hack Eric, Hewitt Nicola J, Kenna Gerry, Naciff Jorge, Ouedraogo Gladys, Schepky Andreas, Mahony Catherine and Europe Cosmetics 2022. A 10-step framework for use of read-across (RAX) in next generation risk assessment (NGRA) for cosmetics safety assessment. Regulatory Toxicology and Pharmacology : RTP, 129. https://doi.org/10.1016/j.yrtph.2021.105094. 105094. Almarri Mohamed A, Bergström Anders, Prado-Martinez Javier, Yang Fengtang, Fu Beiyuan, Dunham Alistair S, Chen Yuan, Hurles Matthew E, Tyler-Smith Chris and Xue Yali 2020. Population Structure, Stratification, and Introgression of Human Structural Variation. Cell, 1821pp. 189– 199 e115. https://doi.org/10.1016/j.cell.2020.05.024. Alves VM, Borba J et al 2018. Oy Vey! A Comment on "Machine Learning of Toxicological Big Data Enables Read-Across Structure Activity Relationships Outperforming Animal Test Reproducibility". Toxicological Sciences, 1671pp. 3– 4. https://doi.org/10.1093/toxsci/kfy286. Armitage James M, Wania Frank and Arnot Jon A 2014. Application of mass balance models and the chemical activity concept to facilitate the use of in vitro toxicity data for risk assessment. Environmental Science & Technology, 4816pp. 9770– 9779. https://doi.org/10.1021/es501955g. Aschauer Lydia, Limonciel Alice, Wilmes Anja, Stanzel Sven, Kopp-Schneider Annette, Hewitt Philip, Lukas Arno, Leonard Martin O, Pfaller Walter and Jennings Paul 2015. Application of RPTEC/TERT1 cells for investigation of repeat dose nephrotoxicity: A transcriptomic study. Toxicol in Vitro 30(1 Pt A), 106–116. https://doi.org/10.1016/j.tiv.2014.10.005. Bagchi S, Chhibber T et al 2019. In-vitro blood-brain barrier models for drug screening and permeation studies: an overview. Drug Des Devel Ther, 13pp. 3591– 3605. https://doi.org/10.2147/DDDT.S218708. Balafkan Novin, Mostafavi Sepideh, Schubert Manja, Siller Richard, Liang Kristina Xiao, Sullivan Gareth and Bindoff Laurence A 2020. A method for differentiating human induced pluripotent stem cells toward functional cardiomyocytes in 96-well microplates. Scientific Reports, 101pp. 18498. https://doi.org/10.1038/s41598-020-73656-2. Ball N, Cronin MT et al 2016. Toward Good Read-Across Practice (GRAP) guidance. Altex, 332pp. 149– 166. https://doi.org/10.14573/altex.1601251. Barupal DK and Fiehn O 2019. Generating the Blood Exposome Database Using a Comprehensive Text Mining and Database Fusion Approach. Environmental Health Perspectives, 1279pp. 97008. https://doi.org/10.1289/EHP4713. Bell Shannon M, Chang Xiaoqing, Wambaugh John F, Allen David G, Bartels Mike, Brouwer Kim LR, Casey Warren M, Choksi Neepa, Ferguson Stephen S, Fraczkiewicz Grazyna, Jarabek Annie M, Ke Alice, Lumen Annie, Lynn Scott G, Paini Alicia, Price Paul S, Ring Caroline, Simon Ted W, Sipes Nisha S, Sprankle Catherine S, Strickland Judy, Troutman John, Wetmore Barbara A and Kleinstreuer Nicole C 2018. In vitro to in vivo extrapolation for high throughput prioritization and decision making. Toxicology in Vitro, 47pp. 213– 227. https://doi.org/10.1016/j.tiv.2017.11.016. Berg EL 2019. Human Cell-Based in vitro Phenotypic Profiling for Drug Safety-Related Attrition. Front Big Data, 2pp. 47. https://doi.org/10.3389/fdata.2019.00047. Bergstrom A, McCarthy SA et al 2020. Insights into human genetic variation and population history from 929 diverse genomes 367, Science (New York, NY). https://doi.org/10.1126/science.aay5012. Bhat Virunya S, Meek ME (Bette), Valcke Mathieu, English Caroline, Boobis Alan and Brown Richard 2017. Evolution of chemical-specific adjustment factors (CSAF) based on recent international experience; increasing utility and facilitating regulatory acceptance. Critical Reviews in Toxicology, 479pp. 729– 749. https://doi.org/10.1080/10408444.2017.1303818. Bhhatarai B, Wilson DM et al 2016. Evaluation of OASIS QSAR Models Using ToxCast in Vitro Estrogen and Androgen Receptor Binding Data and Application in an Integrated Endocrine Screening Approach. Environmental Health Perspectives, 1249pp. 1453– 1461. https://doi.org/10.1289/EHP184. Biagini Francesco, Calvigioni Marco, Lapomarda Anna, Vecchione Alessandra, Magliaro Chiara, De Maria Carmelo, Montemurro Francesca, Celandroni Francesco, Mazzantini Diletta, Mattioli-Belmonte Monica, Ghelardi Emilia and Vozzi Giovanni 2020. A novel 3D in vitro model of the human gut microbiota. Scientific Reports, 101pp. 21499. https://doi.org/10.1038/s41598-020-78591-w. Bird Victoria, Leamy Mary, Tew Jerry, Le Boutillier Clair, Williams Julie and Slade Mike 2014. Fit for purpose? Validation of a conceptual framework for personal recovery with current mental health consumers. Australian & New Zealand Journal of Psychiatry, 487pp. 644– 653. https://doi.org/10.1177/0004867413520046. Blaauboer BJ 2010. Biokinetic modeling and in vitro-in vivo extrapolations. Journal of Toxicology and Environmental Health Part B, Critical Reviews, 132–4pp. 242– 252. https://doi.org/10.1080/10937404.2010.483940. Blackburn K and Stuard SB 2014. A framework to facilitate consistent characterization of read across uncertainty. Regulatory Toxicology and Pharmacology : RTP, 683pp. 353– 362. https://doi.org/10.1016/j.yrtph.2014.01.004. Bos PMJ, Geraets L et al 2020. Towards an animal-free human health assessment: starting from the current regulatory needs. Altex, 373pp. 395– 408. https://doi.org/10.14573/altex.1912041. Bossier Han, Chau Joris, Ndour Cheikh, Varewyck Machteld, Verbeke Tobias and Vergucht Stephanie 2020. A web-based open source tool for Toxicokinetic and Toxicodynamic modelling. EFSA Supporting Publication. EFSA Supporting Publications, 1711pp. 1926E. https://doi.org/10.2903/sp.efsa.2020.EN-1926. Bray M-A, Gustafsdottir SM et al 2017. A dataset of images and morphological profiles of 30 000 small-molecule treatments using the Cell Painting assay. Gigascience, 612pp. 1– 5. https://doi.org/10.1093/gigascience/giw014. Brazma A 2009. Minimum Information About a Microarray Experiment (MIAME)–successes, failures, challenges. ScientificWorldJournal, 9pp. 420– 423. https://doi.org/10.1100/tsw.2009.57. Brent RL 2004. Utilization of juvenile animal studies to determine the human effects and risks of environmental toxicants during postnatal developmental stages. Birth Defects Res B Dev Reprod Toxicol, 715pp. 303– 320. https://doi.org/10.1002/bdrb.20020. Buratti Franca Maria, Darney Keyvin, Vichi Susanna, Turco Laura, Di Consiglio Emma, Lautz Leonie S, Béchaux Camille, Dorne Jean-Lou Christian Michel and Testai Emanuela 2021. Human variability in glutathione-S-transferase activities, tissue distribution and major polymorphic variants: Meta-analysis and implication for chemical risk assessment. Toxicology Letters, 337pp. 78– 90. https://doi.org/10.1016/j.toxlet.2020.11.007. Burgdorf T, Piersma Ah, Landsiedel R, Clewell R, Kleinstreuer N, Oelgeschläger M, Desprez B, Kienhuis A, Bos P, de Vries R, de Wit L, Seidle T, Scheel J, Schönfelder G, van Benthem J, Vinggaard Am, Eskes C and Ezendam J 2019. Workshop on the validation and regulatory acceptance of innovative 3R approaches in regulatory toxicology - Evolution versus revolution. Toxicology in Vitro, 59pp. 1– 11. https://doi.org/10.1016/j.tiv.2019.03.039. Callegaro G, Kunnen SJ, et al. (2021). The human hepatocyte TXG-MAPr: WGCNA transcriptomic modules to support mechanism-based risk assessment. bioRxiv: 2021.2005.2017.444463. doi https://doi.org/10.1101/2021.05.17.444463 Casey W. (2015) Fit-for-Purpose Validation Fit for Purpose Validation., National Library of Medicine Chandrasekaran Vidya, Carta Giada, da Costa Pereira Daniel, Gupta Rajinder, Murphy Cormac, Feifel Elisabeth, Kern Georg, Lechner Judith, Cavallo Anna Lina, Gupta Shailesh, Caiment Florian, Kleinjans Jos C S, Gstraunthaler Gerhard, Jennings Paul and Wilmes Anja 2021. Generation and characterization of iPSC-derived renal proximal tubule-like cells with extended stability. Scientific Reports, 111pp. 11575. https://doi.org/10.1038/s41598-021-89550-4. Chanput Wasaporn, Mes Jurriaan J and Wichers Harry J 2014. THP-1 cell line: an in vitro cell model for immune modulation approach. International Immunopharmacology, 231pp. 37– 45. https://doi.org/10.1016/j.intimp.2014.08.002. Chew Dylan, Green Victoria, Riley Andrew, England Richard James and Greenman John 2020. The Changing Face of in vitro Culture Models for Thyroid Cancer Research: A Systematic Literature Review. Front Surg, 7pp. 43. https://doi.org/10.3389/fsurg.2020.00043. Coecke Sandra, Balls Michael, Bowe Gerard, Davis John, Gstraunthaler Gerhard, Hartung Thomas, Hay Robert, Merten Otto-Wilhelm, Price Anna, Schechtman Leonard, Stacey Glyn and Stokes William 2005. Guidance on Good Cell Culture Practice: A Report of the Second ECVAM Task Force on Good Cell Culture Practice. Alternatives to Laboratory Animals, 333pp. 261– 287. https://doi.org/10.1177/026119290503300313. Comenges JM Zaldívar, Joossens E, Benito JV Sala, Worth A and Paini A 2017. Theoretical and mathematical foundation of the Virtual Cell Based Assay - A review. Toxicology in Vitro, 45Pt 2pp. 209– 221. https://doi.org/10.1016/j.tiv.2016.07.013. Cong Ye, Han Xiahe, Wang Youping, Chen Zongzheng, Lu Yao, Liu Tingjiao, Wu Zhengzhi, Jin Yu, Luo Yong and Zhang Xiuli 2020. Drug Toxicity Evaluation Based on Organ-on-a-chip Technology. A Review. Micromachines (Basel), 114. https://doi.org/10.3390/mi11040381. Costa J and Ahluwalia A 2019. Advances and Current Challenges in Intestinal in vitro Model Engineering: A Digest. Front Bioeng Biotechnol, 7pp. 144. https://doi.org/10.3389/fbioe.2019.00144. Darney K, Kasteel Eej, Buratti Fm, Turco L, Vichi S, Béchaux C, Roudot Ac, Kramer Ni, Testai E, Dorne Jlcm, Di Consiglio E and Lautz Ls 2020. Bayesian meta-analysis of inter-phenotypic differences in human serum paraoxonase-1 activity for chemical risk assessment. Environment International, 138. https://doi.org/10.1016/j.envint.2020.105609. 105609. Darney K, Lautz Ls, Béchaux C, Wiecek W, Testai E, Amzal B and Dorne Jlcm 2021. Human variability in polymorphic CYP2D6 metabolism: Implications for the risk assessment of chemicals in food and emerging designer drugs. Environment International, 156. https://doi.org/10.1016/j.envint.2021.106760. 106760. Darney Keyvin, Testai Emanuela, Buratti Franca M, Di Consiglio Emma, Kasteel Emma EJ, Kramer Nynke, Turco Laura, Vichi Susanna, Roudot Alain-Claude, Dorne Jean-Lou and Béchaux Camille 2019. Inter-ethnic differences in CYP3A4 metabolism: A Bayesian meta-analysis for the refinement of uncertainty factors in chemical risk assessment. Computational Toxicology, 12. https://doi.org/10.1016/j.comtox.2019.100092. Darney K, Turco L, Buratti Fm, Di Consiglio E, Vichi S, Roudot Ac, Béchaux C, Testai E, Dorne Jlcm and Lautz Ls 2020. Human variability in influx and efflux transporters in relation to uncertainty factors for chemical risk assessment. Food and Chemical Toxicology, 140. https://doi.org/10.1016/j.fct.2020.111305. 111305. DeBord D Gayle, Carreón Tania, Lentz Thomas J, Middendorf Paul J, Hoover Mark D and Schulte Paul A 2016. Use of the "Exposome" in the Practice of Epidemiology: A Primer on -Omic Technologies. American Journal of Epidemiology, 1844pp. 302– 314. https://doi.org/10.1093/aje/kwv325. Delp Johannes, Cediel-Ulloa Andrea, Suciu Ilinca, Kranaster Petra, van Vugt-Lussenburg Barbara MA, Munic Kos Vesna, van der Stel Wanda, Carta Giada, Bennekou Susanne Hougaard, Jennings Paul, van de Water Bob, Forsby Anna and Leist Marcel 2021. Neurotoxicity and underlying cellular changes of 21 mitochondrial respiratory chain inhibitors. Archives of Toxicology, 952pp. 591– 615. https://doi.org/10.1007/s00204-020-02970-5. Dent Mp, Vaillancourt E, Thomas Rs, Carmichael Pl, Ouedraogo G, Kojima H, Barroso J, Ansell J, Barton-Maclaren Ts, Bennekou Sh, Boekelheide K, Ezendam J, Field J, Fitzpatrick S, Hatao M, Kreiling R, Lorencini M, Mahony C, Montemayor B, Mazaro-Costa R, Oliveira J, Rogiers V, Smegal D, Taalman R, Tokura Y, Verma R, Willett C and Yang C 2021. Paving the way for application of next generation risk assessment to safety decision-making for cosmetic ingredients. Regulatory Toxicology and Pharmacology : RTP, 125. https://doi.org/10.1016/j.yrtph.2021.105026. 105026. Di Consiglio E, Darney K, Buratti Fm, Turco L, Vichi S, Testai E, Lautz Ls and Dorne Jlcm 2021. Human Variability in Carboxylesterases and carboxylesterase-related Uncertainty Factors for Chemical Risk Assessment. Toxicology Letters, 350pp. 162– 170. https://doi.org/10.1016/j.toxlet.2021.07.005. Dix DJ, Houck KA et al 2006. The ToxCast Program for Prioritizing Toxicity Testing of Environmental Chemicals. Toxicological Sciences, 951pp. 5– 12. https://doi.org/10.1093/toxsci/kfl103. Docci L, Klammers F et al 2020. In Vitro to In Vivo Extrapolation of Metabolic Clearance for UGT Substrates Using Short-Term Suspension and Long-Term Co-cultured Human Hepatocytes. American Association of Pharmaceutical Scientists Journal, 226pp. 131. https://doi.org/10.1208/s12248-020-00482-9. EC (2019) REGULATION (EU) 2019/ 1381 OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL - of 20 June 2019 - on the transparency and sustainability of the EU risk assessment in the food chain and amending Regulations (EC) No 178 / 2002, (EC) No 1829 / 2003, (EC) No 1831 / 2003, (EC) No 2065 / 2003, (EC) No 1935 / 2004, (EC) No 1331 / 2008, (EC) No 1107 / 2009, (EU) 2015/ 2283 and Directive 2001/ 18/ EC (europa.eu). L 231/1. Official Journal of the European Union. ECHA. (2016) Practical guide: How to use alternatives to animal testing to fulfil your information requirements for REACh registration. Version 2.0. ECHA.-16-B-25-EN European Chemicals Agency, Helsinki, Finland. ECHA 2017a. Read-Across Assessment Framework (RAAF). ECHA-17-R-01-EN European Chemicals Agency, Helsinki, Finland. ECHA 2017b. Weight of evidence/uncertainty in hazard assessment, Backround Document & Examples European Chemicals Agency, Helsinki, Finland. Ecker GF and Noe CR 2004. In silico prediction models for blood-brain barrier permeation. Current Medicinal Chemistry, 1112pp. 1617– 1628. https://doi.org/10.2174/0929867043365071. EFSA Ppr Panel (EFSA Panel on Plant Protection Products and their Residues), Hernández-Jerez A, Adriaanse P, Aldrich A, Berny P, Coja T, Duquesne S, Focks A, Marinovich M, Millet M, Pelkonen O, Pieper S, Tiktak A, Topping C, Widenfalk A, Wilks M, Wolterink G, Crofton K, Hougaard Bennekou S, Paparella M and Tzoulaki I 2021a. Scientific Opinion on the development of Integrated Approaches to Testing and Assessment (IATA) case studies on developmental neurotoxicity (DNT) risk assessment. EFSA Journal, 196pp. 63. 6599. EFSA Scientific Committee, More S, Bampidis V, Benford D, Bragard C, Halldorsson T, Hernández-Jerez A, Hougaard Bennekou S, Koutsoumanis K, Lambré C, Machera K, Naegeli H, Nielsen S, Schlatter J, Schrenk D, Silano (deceased) V, Turck D, Younes M, Castenmiller J, Chaudhry Q, Cubadda F, Franz R, Gott D, Mast J, Mortensen A, Oomen AG, Weigel S, Barthelemy E, Rincon A, Tarazona J and Schoonjans R, 2021b. Guidance on risk assessment of nanomaterials to be applied in the food and feed chain: human and animal health. EFSA Journal 2021(b);19(8):6768, 111 pp. More Simon, Benford Diane, Hougaard Bennekou Susanne, Bampidis Vasileios, Bragard Claude, Halldorsson Thorhallur, Hernandez-Jerez Antonio, Koutsoumanis Kostas, Lambré Claude, Machera Kyriaki, Mullins Ewen, Nielsen Søren Saxmose, Schlatter Josef, Schrenk Dieter, Turck Dominique, Tarazona Jose and Younes Maged, 2021. Opinion on the impact of non-monotonic dose responses on EFSA′s human health risk assessments. EFSA Journal 2021;19(10):6877, 22 pp. https://doi.org/10.2903/j.efsa.2021.6877 EFSA Ppr Panel (EFSA Panel on Plant Protection Products and their Residues) 2016. Guidance on the establishment of the residue definition for dietary risk assessment. EFSA Journal, 1412pp. 129. 4549. EFSA (European Food Safety Authority) Scientific Committee, Benford, D, Halldorsson, T, Jeger, MJ, Knutsen, HK, More, S, Naegeli, H, Noteborn, H, Ockleford, C, Ricci, A, Rychen, G, Schlatter, JR, Silano, V, Solecki, R, Turck, D, Younes, M, Craig, P, Hart, A, Von Goetz, N, Koutsoumanis, K, Mortensen, A, Ossendorp, B, Martino, L, Merten, C, Mosbach-Schulz, O and Hardy, A 2018. Guidance on Uncertainty Analysis in Scientific Assessments. EFSA Journal, 161pp. 39. 5123. Scientific Committee EFSA, Benford D, Halldorsson T, Jeger MJ, Knutsen HK, More S, Naegeli H, Noteborn H, Ockleford C, Ricci A, Rychen G, Schlatter JR, Silano V, Solecki R, Turck D, Younes M, Craig P, Hart A, Von Goetz N, Koutsoumanis K, Mortensen A, Ossendorp B, Germini A, Martino L, Merten C, Mosbach-Schulz O, Smith A and Hardy A 2018. Scientific Opinion on the principles and methods behind EFSA's Guidance on Uncertainty Analysis in Scientific Assessment. EFSA Journal, 161pp. 235. 5122. Scientific Committee EFSA, Hardy A, Benford D, Halldorsson T, Jeger MJ, Knutsen HK, More S, Naegeli H, Noteborn H, Ockleford C, Ricci A, Rychen G, Schlatter JR, Silano V, Solecki R, Turck D, Benfenati E, Chaudhry QM, Craig P, Frampton G, Greiner M, Hart A, Hogstrand C, Lambre C, Luttik R, Makowski D, Siani A, Wahlstroem H, Aguilera J, Dorne J-L, Fernandez Dumont A, Hempen M, Valtueña Martínez S, Martino L, Smeraldi C, Terron A, Georgiadis N and Younes M 2017. Scientific Opinion on the guidance on the use of the weight of evidence approach in scientific assessments. EFSA Journal, 158pp. 69. 4971. More Simon John, Bampidis Vasileios, Benford Diane, Bennekou Susanne Hougaard, Bragard Claude, Halldorsson Thorhallur Ingi, Hernández-Jerez Antonio F, Koutsoumanis Konstantinos, Naegeli Hanspeter, Schlatter Josef R, Silano Vittorio, Nielsen Søren Saxmose, Schrenk Dieter, Turck Dominique, Younes Maged, Benfenati Emilio, Castle Laurence, Cedergreen Nina, Hardy Anthony, Laskowski Ryszard, Leblanc Jean Charles, Kortenkamp Andreas, Ragas Ad, Posthuma Leo, Svendsen Claus, Solecki Roland, Testai Emanuela, Dujardin Bruno, Kass George EN, Manini Paola, Jeddi Maryam Zare, Dorne Jean-Lou CM and Hogstrand Christer 2019. Guidance on harmonised methodologies for human health, animal health and ecological risk assessment of combined exposure to multiple chemicals. EFSA Journal, 173pp. 77. 5634. Ekins S, Ecker G f, Chiba P and Swaan P w 2007. Future directions for drug transporter modelling. Xenobiotica, 3710–11pp. 1152– 1170. https://doi.org/10.1080/00498250701646341. EPA. (2020) EAGMST - December 2020 Meeting (https://cfpub.epa.gov/si/si_public_file_download.cfm?p_download_id=541964) Eric A, Marc AB et al 2021. 1.04 - NexGen Sequencing Data. Bioinformatic Tools for Visualization and Analysis, 47–90. https://doi.org/10.1016/B978-0-12-816395-5.00001-0. Escher Sylvia E, Aguayo-Orozco Alejandro, Benfenati Emilio, Bitsch Annette, Braunbeck Thomas, Brotzmann Katharina, Bois Frederic, van der Burg Bart, Castel Jose, Exner Thomas, Gadaleta Domenico, Gardner Iain, Goldmann Daria, Hatley Oliver, Golbamaki Nazanin, Graepel Rabea, Jennings Paul, Limonciel Alice, Long Anthony, Maclennan Richard, Mombelli Enrico, Norinder Ulf, Jain Sankalp, Capinha Liliana Santos, Taboureau Olivier T, Tolosa Laia, Vrijenhoek Nanette G, van Vugt-Lussenburg Barbara MA, Walker Paul, van de Water Bob, Wehr Matthias, White Andrew, Zdrazil Barbara and Fisher Ciarán 2022. Integrate mechanistic evidence from new approach methodologies (NAMs) into a read-across assessment to characterise trends in shared mode of action. Toxicology in Vitro, 79. https://doi.org/10.1016/j.tiv.2021.105269. 105269. Escher Sylvia E, Kamp Hennicke, Bennekou Susanne H, Bitsch Annette, Fisher Ciarán, Graepel Rabea, Hengstler Jan G, Herzler Matthias, Knight Derek, Leist Marcel, Norinder Ulf, Ouédraogo Gladys, Pastor Manuel, Stuard Sharon, White Andrew, Zdrazil Barbara, van de Water Bob and Kroese Dinant 2019. Towards grouping concepts based on new approach methodologies in chemical hazard assessment: the read-across approach of the EU-ToxRisk project. Archives of Toxicology, 9312pp. 3643– 3667. https://doi.org/10.1007/s00204-019-02591-7. Commission European, Paini A et al 2017. EURL ECVAM Workshop on new generation of physiologically-based kinetic models in risk assessment, EUR 28794, EN Publications Office of the European Union, Luxembourg. European Commission (EC) 2019. EURL ECVAM dataset on alternative methods to animal experimentation (DB-ALM)European Commission. Joint Research Centre (JRC) PID. Fàbrega Francesc, Nadal Martí, Schuhmacher Marta, Domingo José L and Kumar Vikas 2016. Influence of the uncertainty in the validation of PBPK models: A case-study for PFOS and PFOA. Regulatory Toxicology and Pharmacology : RTP, 77pp. 230– 239. https://doi.org/10.1016/j.yrtph.2016.03.009. Fenton N and Neil M 2018. Risk assessment and decision analysis with Bayesian networks 2nd, CRC Press, Boca Raton, FL United States. FGED 2012. MINSEQE: Minimum Information about - a proposal for standards in functional genomic data reporting, Functional Genomics Data Society. Fisher C, Siméon S, Jamei M, Gardner I and Bois Yf 2019. VIVD: Virtual in vitro distribution model for the mechanistic prediction of intracellular concentrations of chemicals in in vitro toxicity assays. Toxicology in Vitro, 58pp. 42– 50. https://doi.org/10.1016/j.tiv.2018.12.017. Gadaleta Domenico, Manganelli Serena, Roncaglion
More
Translated text
Key words
Systematic Reviews
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined