From the Cover: Inhibitors of Nicotinamide Phosphoribosyltransferase Cause Retinal Damage in Larval Zebrafish

Steven Cassar1, Christina Dunn1, Amanda Olson2

  • 1Preclinical Safety.

Insights

Larval zebrafish can predict retinal toxicity from NAMPT inhibitors, a key oncology target. This method accelerates drug development by identifying ocular toxicities early.

Area of Science:

  • Biochemistry
  • Toxicology
  • Oncology

Background:

  • Nicotinamide phosphoribosyltransferase (NAMPT) is a crucial enzyme in cellular energy metabolism and a target for cancer therapy.
  • Small molecule NAMPT inhibitors show therapeutic promise but face challenges due to preclinical retinal toxicity.
  • Current preclinical models for assessing ocular toxicity are often slow and resource-intensive.

Purpose of the Study:

  • To evaluate larval zebrafish as a model for predicting retinal toxicity associated with NAMPT inhibitors.
  • To assess the utility of zebrafish for high-throughput screening of drug candidates targeting NAMPT.
  • To establish a correlation between zebrafish visual toxicity and in vitro potency against human tumor cells.

Main Methods:

  • Larval zebrafish were exposed to various NAMPT inhibitors.
  • Behavioral assays were used to assess visual versus auditory response.
  • Histopathological analysis was performed to confirm retinal damage.
  • Zebrafish toxicity data were correlated with in vitro drug potencies.

Main Results:

  • NAMPT inhibitor treatment in zebrafish resulted in a loss of response to visual cues.
  • Histopathology confirmed retinal damage in treated zebrafish.
  • A positive correlation was observed between the impact on zebrafish vision and in vitro potency against human tumor cells.
  • Zebrafish toxicity mirrored on-target effects of NAMPT inhibition.

Conclusions:

  • Larval zebrafish serve as an effective model for predicting NAMPT inhibitor-associated retinal toxicity.
  • Zebrafish offer a high-throughput, cost-effective alternative to mammalian systems for ocular toxicity screening.
  • This model facilitates the identification of safer drug candidates and accelerates oncology drug development.

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