Improved throughput of PatchXpress hERG assay using intracellular potassium fluoride

Haoyu Zeng1, Jacob R Penniman, Fumi Kinose

  • 1Merck Research Laboratories, West Point, PA 19486, USA. haoyu_zeng@merck.com

Insights

Optimizing the human ether-a-go-go-related gene (hERG) channel screening with potassium fluoride improves success rates and data quality. This advancement enhances high-throughput drug discovery, reducing late-stage failures.

Area of Science:

  • Cardiovascular pharmacology
  • Drug safety assessment
  • Ion channel electrophysiology

Background:

  • Blockade of the human ether-a-go-go-related gene (hERG) potassium channel can lead to QT prolongation and torsade de pointes, causing drug withdrawals.
  • Regulatory agencies mandate in vitro hERG screening for drug candidates.
  • Automated patch clamp systems offer higher throughput for early-stage hERG screening compared to manual methods.

Purpose of the Study:

  • To optimize an automated patch clamp method for hERG screening using potassium fluoride (KF).
  • To evaluate the impact of KF on hERG current properties and screening efficiency.
  • To improve the throughput and success rate of hERG screening in drug discovery.

Main Methods:

  • Optimization of the PatchXpress 7000A automated patch clamp system.
  • Utilized potassium fluoride (KF) in the internal recording solution for hERG current measurements.
  • Compared biophysical and pharmacological properties of hERG currents recorded with KF versus standard potassium chloride solutions.

Main Results:

  • hERG currents recorded with KF exhibited similar biophysical and pharmacological properties to those recorded with standard potassium chloride solutions.
  • The use of KF significantly improved the success rate of hERG screening on the PatchXpress system.
  • KF utilization led to a significant increase in the throughput of hERG screening without compromising data quality.

Conclusions:

  • Optimized automated patch clamp hERG screening using KF enhances efficiency and reliability.
  • This method minimizes the risk of late-stage drug development failures due to hERG channel interactions.
  • The KF-based approach is valuable for high-throughput functional hERG screening in pharmaceutical research.