Systematic analysis of read-across adaptations in testing proposal evaluations by the European Chemicals Agency
Main Article Content
Abstract
An essential aspect of the EU’s “Registration, Evaluation, Authorisation and Restriction of Chemicals” (REACH) regulation is the European Chemicals Agency’s (ECHA) evaluation of testing proposals submitted by registrants to address data gaps. Registrants may propose adaptations, such as read-across, to waive standard testing; however, it is widely believed that ECHA often finds justifications for read-across hypotheses inadequate. From 2008 to August 2023, 2,630 testing proposals were submitted to ECHA; of these, 1,538 had published decisions that were systematically evaluated in this study. Each document was manually reviewed, and information extracted for further analyses focusing on 17 assessment elements (AEs) from the Read-Across Assessment Framework (RAAF) and testing proposal evaluations (TPE). Each submission was classified as to the AEs relied upon by the registrants and by ECHA. Data was analyzed for patterns and associations. Adaptations were included in 23% (350) of proposals, with analogue (168) and group (136) read-across being most common. Of 304 read-across hypotheses, 49% were accepted, with group read-across showing significantly higher odds of acceptance. Data analysis examined factors such as tonnage (Annex), test guidelines, hypothesis AEs, and structural similarities of target and source substances. While decisions were often context-specific, several significant associations influencing acceptance emerged. Overall, this analysis provides a comprehensive overview of 15 years of experience with testing proposal-specific read-across adaptations by both registrants and ECHA. These data will inform future submissions as they identify most critical AEs to increase the odds of read-across acceptance.
Plain language summary
The European Union’s law requires companies to provide safety data on chemicals they produce or import. To avoid unnecessary testing in animals, companies can propose alternatives like "read-across," which uses data from similar substances. However, the European Chemicals Agency often rejects these proposals if the reasoning isn't convincing. Between 2008 and 2023, 2,630 testing proposals were submitted, and 1,538 decisions were reviewed for this study. We analyzed the factors that influenced Agency’s decisions, focusing on 17 criteria. About 23% of proposals included adaptations like read-across, with nearly half of these (49%) found acceptable. Group read-across proposals were more likely to succeed than analogue approaches. The study identified patterns and key factors, such as the similarity between substances and the type of tests proposed, that affected approval rates. This research offers valuable insights to help companies improve their proposals and increase the chances of approval for alternatives to animal testing.
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References
Ball, N., Cronin, M. T., Shen, J. et al. (2016). Toward Good Read-Across Practice (GRAP) guidance. ALTEX 33, 149-166. doi:10.14573/altex.1601251
Beal, M. A., Gagne, M., Kulkarni, S. A. et al. (2022). Implementing in vitro bioactivity data to modernize priority setting of chemical inventories. ALTEX 39, 123-139. doi:10.14573/altex.2106171
Berggren, E., Amcoff, P., Benigni, R. et al. (2015). Chemical Safety Assessment Using Read-Across: Assessing the Use of Novel Testing Methods to Strengthen the Evidence Base for Decision Making. Environ Health Perspect 123, 1232-1240. doi:10.1289/ehp.1409342
Blackburn, K. and Stuard, S. B. (2014). A framework to facilitate consistent characterization of read across uncertainty. Regul Toxicol Pharmacol 68, 353-362. doi:10.1016/j.yrtph.2014.01.004
Botham, P., Cronin, M. T. D., Currie, R. et al. (2023). Analysis of health concerns not addressed by REACH for low tonnage chemicals and opportunities for new approach methodology. Arch Toxicol 97, 3075-3083. doi:10.1007/s00204-023-03601-5
Cordova, A. C., Ford, L. C., Valdiviezo, A. et al. (2022). Dosing Methods to Enable Cell-Based In Vitro Testing of Complex Substances: A Case Study with a PAH Mixture. Toxics 11, 19. doi:10.3390/toxics11010019
ECHA (2008). Guidance on information requirements and chemical safety assessment. Chapter R.6: QSARS and grouping of chemicals. https://echa.europa.eu/documents/10162/13632/information_requirements_r6_en.pdf
ECHA (2011). Guidance on information requirements and chemical safety assessment. https://echa.europa.eu/guidance-documents/guidance-on-information-requirements-and-chemical-safety-assessment Accessed on: July 21, 2024
ECHA (2015). Read-Across Assessment Framework (RAAF). doi:10.2823/546436
ECHA (2017). Read-Across Assessment Framework (RAAF) - considerations on multi-constituent substances and UVCBs. https://echa.europa.eu/documents/10162/13630/raaf_uvcb_report_en.pdf/3f79684d-07a5-e439-16c3-d2c8da96a316 Acessed on: August 25, 2020
ECHA (2020). Dossier Evaluation Process - principles applied by ECHA in revieweing read-across and category approaches. https://echa.europa.eu/documents/10162/17220/echa_testing_strategies_under_reach_en.pdf/6ffd4ed1-8f14-6326-8142-2c881846fdac Accessed on: July 26, 2024
ECHA (2022). Advice on using read-across for UVCB substances - obligations arising from Commission Regulation 2021/979, amending REACH annexes. https://www.echa.europa.eu/documents/10162/11395738/advice_uvcb_read-across_en.pdf/ac1f64a6-9ee5-441e-cf1c-92914b843b4e?t=1651665130365 Accessed on: May 19, 2022
ECHA (2023a). The use of alternatives to testing on animals for the REACH Regulation: Fifth report under Article 117(3) of the REACH Regulation. doi:10.2823/805454, Accessed on: July 21, 2024
ECHA (2023b). Guidance for identification and naming of substances under REACH and CLP. https://echa.europa.eu/documents/10162/2324906/substance_id_en.pdf/ee696bad-49f6-4fec-b8b7-2c3706113c7d Accessed on: July 21, 2024
ECHA (2024). ECHA checked over 20 % of REACH registration dossiers for compliance. https://echa.europa.eu/-/echa-checked-over-20-of-reach-registration-dossiers-for-compliance-1, Accessed on: November 11, 2024
EC - European Council (2006). Regulation (EC) No 1907/2006 of the European Parliament and the Council of 18 December 2006 concerning the Registration, Evaluation, Authorisation and Restriction of Chemicals (REACH), establishing a European Chemicals Agency, amending Directive 1999/45/EC and repealing Council Regulation (EEC) No 793/93 and Commission Regulation (EC) No 1488/94 as well as Council Directive 76/769/EEC and Commission Directives 91/155/EEC, 93/105/EC and 2000/21/EC. 1-849. https://eur-lex.europa.eu/eli/reg/2006/1907/oj
Guha, R. (2007). Chemical Informatics functionality in R. J Stat Softw 18, 1 - 16. doi:10.18637/jss.v018.i05
Helman, G., Shah, I., Williams, A. J. et al. (2019). Generalized Read-Across (GenRA): A workflow implemented into the EPA CompTox Chemicals Dashboard. ALTEX 36, 462-465. doi:10.14573/altex.1811292
House, J. S., Grimm, F. A., Klaren, W. D. et al. (2021). Grouping of UVCB substances with new approach methodologies (NAMs) data. ALTEX 38, 123-137. doi:10.14573/altex.2006262
House, J. S., Grimm, F. A., Klaren, W. D. et al. (2022). Grouping of UVCB substances with dose-response transcriptomics data from human cell-based assays. ALTEX 39, 388-404. doi:10.14573/altex.2107051
Knight, J., Hartung, T. and Rovida, C. (2023). 4.2 million and counting... The animal toll for REACH systemic toxicity studies. ALTEX 40, 389-407. doi:10.14573/altex.2303201
Lizarraga, L. E., Suter, G. W., Lambert, J. C. et al. (2023). Advancing the science of a read-across framework for evaluation of data-poor chemicals incorporating systematic and new approach methods. Regul Toxicol Pharmacol 137, 105293. doi:10.1016/j.yrtph.2022.105293
Lowe, C. N. and Williams, A. J. (2021). Enabling High-Throughput Searches for Multiple Chemical Data Using the US-EPA CompTox Chemicals Dashboard. Journal of Chemical Information and Modeling 61, 565-570. doi:10.1021/acs.jcim.0c01273
McKinney, J. D., Richard, A., Waller, C. et al. (2000). The practice of structure activity relationships (SAR) in toxicology. Toxicol Sci 56, 8-17. doi:10.1093/toxsci/56.1.8
OECD (2016). Test No. 489: In Vivo Mammalian Alkaline Comet Assay. doi:10.1787/9789264264885-en
OECD (2017). Guidance on Grouping of Chemicals, Second Edition, OECD Series on Testing and Assessment, No. 194. doi:10.1787/9789264274679-en
OECD (2018a). Test No. 408: Repeated Dose 90-Day Oral Toxicity Study in Rodents. doi:10.1787/9789264070707-en
OECD (2018b). Test No. 414: Prenatal Developmental Toxicity Study. doi:10.1787/9789264070820-en
OECD (2018c). Test No. 443: Extended One-Generation Reproductive Toxicity Study. doi:10.1787/9789264185371-en
Patlewicz, G., Ball, N., Becker, R. A. et al. (2014). Read-across approaches--misconceptions, promises and challenges ahead. ALTEX 31, 387-396. doi:10.14573/altex.1410071
Patlewicz, G., Karamertzanis, P., Friedman, K. P. et al. (2024). A systematic analysis of read-across within REACH registration dossiers. Comput Toxicol 30, 1-15. doi:10.1016/j.comtox.2024.100304
Pestana, C., Enoch, S. J., Firman, J. W. et al. (2022). A strategy to define applicability domains for read-across. Comput Toxicol 22, 100220. doi:10.1016/j.comtox.2022.100220
Roman-Hubers, A. T., Cordova, A. C., Rohde, A. M. et al. (2022). Characterization of Compositional Variability in Petroleum Substances. Fuel 317, 123547. doi:10.1016/j.fuel.2022.123547
Roman-Hubers, A. T., Cordova, A. C., Barrow, M. P. et al. (2023). Analytical chemistry solutions to hazard evaluation of petroleum refining products. Regul Toxicol Pharmacol 137, 105310. doi:10.1016/j.yrtph.2022.105310
Rovida, C., Barton-Maclaren, T., Benfenati, E. et al. (2020). Internationalization of read-across as a validated new approach method (NAM) for regulatory toxicology. ALTEX 37, 579-606. doi:10.14573/altex.1912181
Rovida, C., Busquet, F., Leist, M. et al. (2023). REACH out-numbered! The future of REACH and animal numbers. ALTEX 40, 367-388. doi:10.14573/altex.2307121
Rusyn, I., Sedykh, A., Low, Y. et al. (2012). Predictive modeling of chemical hazard by integrating numerical descriptors of chemical structures and short-term toxicity assay data. Toxicol Sci 127, 1-9. doi:10.1093/toxsci/kfs095
Sedykh, A. Y., Shah, R. R., Kleinstreuer, N. C. et al. (2021). Saagar-A New, Extensible Set of Molecular Substructures for QSAR/QSPR and Read-Across Predictions. Chem Res Toxicol 34, 634-640. doi:10.1021/acs.chemrestox.0c00464
Taylor, K., Andrew, D. J. and Rego, L. (2014a). The added value of the 90-day repeated dose oral toxicity test for industrial chemicals with a low (sub)acute toxicity profile in a high quality dataset. Regul Toxicol Pharmacol 69, 320-332. doi:10.1016/j.yrtph.2014.04.008
Taylor, K., Stengel, W., Casalegno, C. et al. (2014b). Experiences of the REACH testing proposals system to reduce animal testing. ALTEX 31, 107-128. doi:10.14573/altex.1311151
Taylor, K. and Andrew, D. J. (2017). The added value of the 90-day repeated dose oral toxicity test for industrial chemicals with a low (sub)acute toxicity profile in a high quality dataset: An update. Regul Toxicol Pharmacol 90, 258-261. doi:10.1016/j.yrtph.2017.09.018
Taylor, K. (2018). Ten years of REACH - An animal protection perspective. Altern Lab Anim 46, 347-373. doi:10.1177/026119291804600610
Tsai, H. D., House, J. S., Wright, F. A. et al. (2023). A tiered testing strategy based on in vitro phenotypic and transcriptomic data for selecting representative petroleum UVCBs for toxicity evaluation in vivo. Toxicol Sci 193, 219-233. doi:10.1093/toxsci/kfad041
Zvinavashe, E., Murk, A. J. and Rietjens, I. M. (2008). Promises and pitfalls of quantitative structure-activity relationship approaches for predicting metabolism and toxicity. Chem Res Toxicol 21, 2229-2236. doi:10.1021/tx800252e