Advertisement

Comment on Sjögren et al. (2018) A novel multi-parametric high-content screening assay in ciPTEC-OAT1 to predict drug-induced nephrotoxicity in drug discovery. Arch Toxicol 92(10):3175–3190

  • Daniele Zink
Letter to the Editor, News and Views
  • 66 Downloads

Abstract

Rapid progress is made in the development of high-content screening assays for the prediction of nephrotoxicity. The findings from different laboratories are consistent with respect to endpoints and concentration ranges screened. Discrepancies regarding compound annotation and the predictive performance analysis are discussed.

Notes

Funding

This work was supported by the Institute of Bioengineering and Nanotechnology (A*STAR, Singapore).

Compliance with ethical standards

Conflict of interest

The author declares that she has no conflict of interest.

References

  1. Aleksa K, Matsell D, Krausz K, Gelboin H, Ito S, Koren G (2005) Cytochrome P450 3A and 2B6 in the developing kidney: implications for ifosfamide nephrotoxicity. Pediatr Nephrol 20(7):872–885.  https://doi.org/10.1007/s00467-004-1807-3 CrossRefGoogle Scholar
  2. Kandasamy K, Chuah JKC, Su R et al (2015) Prediction of drug-induced nephrotoxicity and injury mechanisms with human induced pluripotent stem cell-derived cells and machine learning methods. Sci Rep 5:12337.  https://doi.org/10.1038/srep12337 CrossRefPubMedPubMedCentralGoogle Scholar
  3. Li Y, Oo ZY, Chang SY et al (2013) An in vitro method for the prediction of renal proximal tubular toxicity in humans. Toxicol Res 2(5):352–362CrossRefGoogle Scholar
  4. Li Y, Kandasamy K, Chuah JKC et al (2014) Identification of nephrotoxic compounds with embryonic stem cell-derived human renal proximal tubular-like cells. Mol Pharm 11(7):1982–1990CrossRefGoogle Scholar
  5. Naughton CA (2008) Drug-induced nephrotoxicity. Am Fam Physician 78(6):743–750Google Scholar
  6. Nissim I, Horyn O, Daikhin Y, Luhovyy B, Phillips PC, Yudkoff M (2006) Ifosfamide-induced nephrotoxicity: mechanism and prevention. Cancer Res 66(15):7824–7831.  https://doi.org/10.1158/0008-5472.CAN-06-1043 CrossRefGoogle Scholar
  7. Sjögren AK, Breitholtz K, Ahlberg E et al (2018) A novel multi-parametric high content screening assay in ciPTEC-OAT1 to predict drug-induced nephrotoxicity during drug discovery. Arch Toxicol 92(10):3175–3190.  https://doi.org/10.1007/s00204-018-2284-y CrossRefGoogle Scholar
  8. Su R, Li Y, Zink D, Loo LH (2014) Supervised prediction of drug-induced nephrotoxicity based on interleukin-6 and -8 expression levels. BMC Bioinform 15(Suppl. 16):S16CrossRefGoogle Scholar
  9. Su R, Xiong S, Zink D, Loo LH (2016) High-throughput imaging-based nephrotoxicity prediction for xenobiotics with diverse chemical structures. Arch Toxicol 90(11):2793–2808.  https://doi.org/10.1007/s00204-015-1638-y CrossRefPubMedGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Institute of Bioengineering and NanotechnologySingaporeSingapore

Personalised recommendations