Modeling the transplacental transfer of small molecules using machine learning: a case study on per- and polyfluorinated substances (PFAS)-Reference-Cited by-同舟云学术

Modeling the transplacental transfer of small molecules using machine learning: a case study on per- and polyfluorinated substances (PFAS)

Published:2022-10-07 Issue:6 Volume:32 Page:808-819
ISSN:1559-0631
Container-title:Journal of Exposure Science & Environmental Epidemiology
language:en
Short-container-title:J Expo Sci Environ Epidemiol

Author:

Abrahamsson Dimitri^ORCID,Siddharth Adi,Robinson Joshua F.,Soshilov Anatoly,Elmore Sarah,Cogliano Vincent,Ng Carla,Khan Elaine,Ashton Randolph,Chiu Weihsueh A.,Fung Jennifer,Zeise Lauren,Woodruff Tracey J.

Publisher

Springer Science and Business Media LLC

Subject

Public Health, Environmental and Occupational Health,Pollution,Toxicology,Epidemiology

Link

https://www.nature.com/articles/s41370-022-00481-2.pdf

Reference66 articles.

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3. Eryasa B, Grandjean P, Nielsen F, Valvi D, Zmirou-Navier D, Sunderland E, et al. Physico-chemical properties and gestational diabetes predict transplacental transfer and partitioning of perfluoroalkyl substances. Environ Int. 2019;130:104874. https://doi.org/10.1016/j.envint.2019.05.068.

4. Li J, Cai D, Chu C, Li Q, Zhou Y, Hu L, et al. Transplacental transfer of per- and polyfluoroalkyl substances (PFASs): differences between preterm and full-term deliveries and associations with placental transporter MRNA expression. Environ Sci Technol. 2020;54:5062–70. https://doi.org/10.1021/acs.est.0c00829.

5. Chen A, Park J-S, Linderholm L, Rhee A, Petreas M, DeFranco EA, et al. Hydroxylated polybrominated diphenyl ethers in paired maternal and cord sera. Environ Sci Technol. 2013;47:3902–8. https://doi.org/10.1021/es3046839.

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