Identification of nephrotoxic compounds with embryonic stem-cell-derived human renal proximal tubular-like cells

Yao Li1, Karthikeyan Kandasamy, Jacqueline Kai Chin Chuah

  • 1Institute of Bioengineering and Nanotechnology, 31 Biopolis Way, The Nanos, Singapore 138669, Singapore.

Molecular Pharmaceutics
|February 6, 2014
PubMed

Insights

Developing new preclinical models is crucial for predicting drug-induced kidney injury. This study introduces a highly accurate in vitro model using human renal proximal tubular cells to detect nephrotoxicity early.

Area of Science:

  • Nephrology
  • Toxicology
  • Stem Cell Biology

Background:

  • Kidney toxicity is a significant concern in drug development, often detected late.
  • Current preclinical models lack the predictive power to identify nephrotoxic drugs effectively.
  • Validated in vitro models for predicting drug-induced kidney injury are urgently needed.

Purpose of the Study:

  • To develop a novel, highly predictive in vitro model for assessing drug-induced nephrotoxicity.
  • To identify reliable endpoints for early detection of renal proximal tubule damage.
  • To improve the accuracy of preclinical nephrotoxicity screening.

Main Methods:

  • Developed an in vitro model using human embryonic stem cell-derived renal proximal tubular-like cells.
  • Utilized the expression of inflammatory markers, specifically interleukin (IL)-6 and IL-8, as predictive endpoints.
  • Validated the model's predictivity using 41 well-characterized compounds.

Main Results:

  • The novel in vitro model demonstrated high accuracy in predicting human proximal tubular toxicity.
  • The model's performance significantly outperformed established standard in vitro assays.
  • Interleukin (IL)-6 and IL-8 expression proved to be reliable indicators of drug-induced kidney injury.

Conclusions:

  • Pluripotent stem cell-derived renal proximal tubular-like cells offer a promising platform for predictive nephrotoxicity testing.
  • This advanced in vitro model enables earlier and more accurate detection of drug-induced kidney injury.
  • The findings highlight the potential to reduce late-stage drug development failures due to unforeseen renal toxicity.

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