Advances in predictive in vitro models of drug-induced nephrotoxicity

Nat Rev Nephrol. 2018 Jun;14(6):378-393. doi: 10.1038/s41581-018-0003-9.

Abstract

In vitro screens for nephrotoxicity are currently poorly predictive of toxicity in humans. Although the functional proteins that are expressed by nephron tubules and mediate drug susceptibility are well known, current in vitro cellular models poorly replicate both the morphology and the function of kidney tubules and therefore fail to demonstrate injury responses to drugs that would be nephrotoxic in vivo. Advances in protocols to enable the directed differentiation of pluripotent stem cells into multiple renal cell types and the development of microfluidic and 3D culture systems have opened a range of potential new platforms for evaluating drug nephrotoxicity. Many of the new in vitro culture systems have been characterized by the expression and function of transporters, enzymes, and other functional proteins that are expressed by the kidney and have been implicated in drug-induced renal injury. In vitro platforms that express these proteins and exhibit molecular biomarkers that have been used as readouts of injury demonstrate improved functional maturity compared with static 2D cultures and represent an opportunity to model injury to renal cell types that have hitherto received little attention. As nephrotoxicity screening platforms become more physiologically relevant, they will facilitate the development of safer drugs and improved clinical management of nephrotoxicants.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Acute Kidney Injury / chemically induced*
  • Acute Kidney Injury / metabolism
  • Animals
  • Biological Assay
  • Biomarkers / metabolism
  • Cell Differentiation
  • Cells, Cultured
  • In Vitro Techniques / trends*
  • Kidney / drug effects*
  • Kidney / metabolism
  • Predictive Value of Tests
  • Stem Cells / metabolism
  • Toxicity Tests / methods*

Substances

  • Biomarkers