A toxicity risk index, an index for warning idiosyncratic drug toxicity

Miyoshi Morimoto1, Kazuo Samizo, Shin Ohta

  • 1School of Pharmacy, Tokyo University of Pharmacy and Life Sciences, 1432-1 Horinouchi, Hachioji, Tokyo 192-0392, Japan.

Insights

A new Toxicity Risk Index (TRI) effectively predicts idiosyncratic drug toxicity (IDT). This index helps identify high-risk drugs, distinguishing between those with black box warnings and safer alternatives.

Area of Science:

  • Pharmacology
  • Drug Development
  • Toxicology

Background:

  • Drug toxicity poses a significant challenge in drug development and clinical application.
  • Idiosyncratic drug toxicity (IDT) is a major concern, often leading to drug withdrawal.
  • Predictive tools are needed to identify potential drug toxicity early in development.

Purpose of the Study:

  • To propose and evaluate a Toxicity Risk Index (TRI) for predicting idiosyncratic drug toxicity (IDT).
  • To assess the utility of TRI in categorizing drugs based on their safety profiles.
  • To establish potential thresholds for classifying drugs as high-risk (BBW).

Main Methods:

  • Defined TRI based on drug dose, pharmacokinetic parameters, and covalent binding toxicokinetic data.
  • Analyzed 20 drugs categorized as BBW (black box warning), WNG (warning), or SAFE (no warning).
  • Calculated and compared TRI values across the different drug safety categories.

Main Results:

  • TRI values clearly differentiated SAFE drugs from BBW drugs.
  • SAFE drugs exhibited TRI values below 0.456 (nmol/mg protein).
  • BBW drugs showed TRI values above 1.10 (nmol/mg protein), suggesting a potential threshold.

Conclusions:

  • The Toxicity Risk Index (TRI) shows promise in identifying drugs with potential idiosyncratic drug toxicity (IDT).
  • A TRI value exceeding 1.0 nmol/mg protein may indicate a drug should be classified as BBW.
  • Further research with larger datasets is warranted to establish a statistically significant cutoff value for TRI.

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