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P-gp inhibition potential in cell-based models: which "calculation" method is the most accurate?

Praveen V Balimane1, Anthony Marino, Saeho Chong

  • 1Metabolism and Pharmacokinetics, Bristol-Myers Squibb, P.O. Box # 4000, Mailstop: F.13-07, Route 206 & Province Line Road, Princeton, New Jersey 08543, USA. Praveen.balimane@bms.com

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Comparing P-glycoprotein (P-gp) inhibition calculation methods revealed significant differences. Method 3, assessing B to A digoxin permeability, is recommended for high-throughput screening in early drug discovery.

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Area of Science:

  • Pharmacology
  • Drug Discovery
  • Biochemistry

Background:

  • P-glycoprotein (P-gp) plays a crucial role in drug transport and disposition.
  • Accurate assessment of P-gp inhibition potential is vital for drug development.
  • Existing calculation methods for P-gp inhibition vary, potentially leading to different conclusions.

Purpose of the Study:

  • To directly compare four distinct calculation methods for assessing P-gp inhibition potential.
  • To evaluate the impact of different calculation methods on determining a compound's P-gp inhibition profile.
  • To identify the most suitable method for early-stage drug discovery screening.

Main Methods:

  • Utilized experimental data from approximately 60 diverse compounds.
  • Performed bidirectional digoxin transport studies (P-gp substrate probe) with and without test compounds (10 µM).
  • Applied four different calculation methods to the same raw bidirectional permeability data.

Main Results:

  • Significantly different P-gp inhibition potentials were obtained using the same experimental dataset across the four methods.
  • The choice of calculation method led to divergent conclusions regarding compounds' inhibition potential.
  • Method 3 (inhibition of B to A digoxin permeability) showed high correlation with Method 1 (bidirectional inhibition).

Conclusions:

  • Method 3 is recommended for high-throughput screening in early drug discovery due to its efficiency and reliability.
  • Method 3 effectively categorizes compounds as non-inhibitors, moderate inhibitors, or potent inhibitors.
  • Method 1 may be more suitable for detailed mechanistic studies in later stages of drug discovery and development.