Considerations from the Innovation and Quality Induction Working Group in Response to Drug-Drug Interaction Guidances

Jane R Kenny1, Diane Ramsden2, David B Buckley2

  • 1Genentech, South San Francisco, California (J.R.K.); Boehringer Ingelheim, Ridgefield, Connecticut (D.R.); Sekisui-XenoTech LLC, Kansas City, Kansas (D.B.B.); Janssen R&D, Spring House, Pennsylvania (S.D.); Vertex Pharmaceuticals, Boston, Massachusetts (C.F., N.H.); Eli Lilly and Company, Indianapolis, Indiana (M.M.); Novartis, East Hanover, New Jersey (H.J.E.); GlaxoSmithKline, King of Prussia, Pennsylvania (L.C.); Amgen Inc., Cambridge, Massachusetts (J.G.D.); Sanofi, Waltham, Massachusetts (M.F.); Pfizer Global Research and Development, Groton, Connecticut (T.C.G.); Eisai, Andover, Massachusetts (Y.A.S.); EMD Serono R&D Institute, Inc., Billerica, Massachusetts (R.L.W.); Corning Life Sciences, Woburn, Massachusetts (G.Z.); and Merck & Co., Inc., Kenilworth, New Jersey (D.T.) kenny.jane@gene.com.

Insights

In vitro data accurately predict clinical drug induction risk for CYP3A4 mRNA. Recommendations include using three human donors and a 2-fold induction threshold, with specific criteria to avoid false positives and negatives.

Area of Science:

  • Pharmacology and Toxicology
  • Drug Metabolism and Pharmacokinetics

Background:

  • In vitro induction assays are crucial for assessing drug metabolism risks.
  • Variability in in vitro and clinical CYP3A4 induction responses necessitates standardized interpretation.
  • Accurate translation of in vitro findings to clinical risk assessment is essential for drug development.

Purpose of the Study:

  • To establish best practices for interpreting in vitro induction data, focusing on CYP3A4 mRNA.
  • To define response thresholds, variability, control applications, and clinical risk translation.
  • To provide recommendations for reliable in vitro assessment of drug-induced CYP3A4 expression.

Main Methods:

  • Compiled and analyzed in vitro and clinical CYP3A4 induction data for 51 compounds.
  • Utilized single concentration control data and Emax/EC50 data from multiple human hepatocyte donors.
  • Evaluated data from various laboratories across different experimental conditions.

Main Results:

  • Significant variability observed in both in vitro and clinical induction responses.
  • Confirmed that in vitro data can reliably predict clinical induction risk.
  • Normalization to positive controls showed limited benefit due to divergent responses.

Conclusions:

  • Recommend evaluating cytochrome P450 induction in three separate human donors in vitro.
  • A 2-fold induction threshold is acceptable for identifying CYP3A4 mRNA induction with concentration dependence.
  • Specific criteria for multiple donors and rifampicin response magnitude are proposed to minimize false positives/negatives.

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