Publications 2024

Peer-reviewed articles

• 1. Baudiffier, D., Audouze, K., Armant, O. ... Beaudouin, R. et al. Editorial trend: adverse outcome pathway (AOP)  and computational strategy — towards new perspectives in ecotoxicology. Environ Sci Pollut Res 31, 6587–6596 (2024). https://doi.org/10.1007/s11356-023-30647-w

  2. Ratier, A., Casas, M., Grazuleviciene, R., Slama, R., Småstuen Haug, L., Thomsen, C., Vafeiadi, M., Wright, J., Zeman, F., Vrijheid, M., Brochot, C. Estimating the dynamic early life exposure to PFOA and PFOS of the HELIX children: Emerging profiles via prenatal exposure, breastfeeding, and diet, Environment International, 108621  (2024). https://doi.org/10.1016/j.envint.2024.108621

  3. Thépaut, E., Bisson, M., Brochot, C., Personne, S., Appenzeller, B. M. R., Zaros, C., . . . Zeman, F. PBPK modeling to support risk assessment of pyrethroid exposure in French pregnant women. Environmental Research, 251, 118606. (2024). https://doi.org/10.1016/j.envres.2024.118606

  4. O. Adamovsky O, KJ Groh, B I.Escher, R. Beaudouin et al. Exploring BPA Alternatives - Environmental Levels and Toxicity Review. Env.Int. journal. (2024). https://doi.org/10.1016/j.envint.2024.108728

  5. Ly, TK., De Oliveira, J., Chadili, E., Le Menach, K. Budzinski, H., James, A. Hinfray, N., Beaudouin, R. Imazalil and prochloraz toxicokinetics in fish probed by a physiologically based kinetic (PBK) model. Environ Sci Pollut Res (2024). https://doi.org/10.1007/s11356-024-34642-7 

  6. Macheka, L. R., Palazzi, P., Iglesias- González, A., Zaros, C., Appenzeller, B., Zeman, F. Exposure to pesticides, persistent and non − persistent pollutants in French 3.5-year-old children: Findings from comprehensive hair analysis in the ELFE national birth cohort. Environment International 190: 108881. (2024). https://doi.org/10.1016/j.envint.2024.108881 

  7. Ollitrault, G., Marzo, M., Roncaglioni, A., Benfenati, E., Mombelli, E., Taboureau, O. “Prediction of Endocrine-Disrupting Chemicals Related to Estrogen, Androgen, and Thyroid Hormone (EAT) Modalities Using Transcriptomics Data and Machine Learning”, Toxics. Jul 26;12(8):541 (2024). https://doi.org/10.3390/toxics12080541