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Multi-laboratory comparisons of manual patch clamp hERG data generated using standardized protocols and following ICH
Claudia Alvarez Baron1, Jun Zhao1, Huimei Yu1,2
1Division of Applied Regulatory Science, Office of Clinical Pharmacology, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA.
Scientific Reports
|August 16, 2025
Summary
Understanding human ether-a-go-go-related gene (hERG) assay reproducibility is crucial for drug safety. Data variability within 5X should be expected due to natural assay distribution, not considered significant differences.
Area of Science:
- Cardiovascular Pharmacology
- Drug Safety and Toxicology
- Electrophysiology
Background:
- Acute block of hERG channels is a primary cause of drug-induced QTC prolongation and Torsade de Pointes.
- Recent regulatory updates permit the use of negative nonclinical hERG data for QTC risk assessment.
- Interpreting hERG assay results necessitates understanding data reproducibility and variability across laboratories.
Purpose of the Study:
- To assess the impact of laboratory-to-laboratory variability on hERG assay results.
- To quantify the inherent data variability in manual patch clamp hERG assays.
- To establish acceptable thresholds for comparing hERG drug block potency data.
Main Methods:
- A multi-laboratory study involving five laboratories using a standardized manual patch clamp protocol.
- Testing of 28 drugs with a focus on hERG channel block potency.
- Statistical analysis, including descriptive statistics and meta-analysis, to determine data distribution and variability.
Main Results:
- Systematic differences in drug block potency were observed from one laboratory for initial drug sets.
- Retesting confirmed assay reproducibility within laboratories, with one exception showing significant deviation (7.6X).
- The estimated natural hERG data variability (inter-laboratory) was approximately 5X.
Conclusions:
- hERG block potency values within a 5X range should be considered consistent due to inherent assay variability.
- Systematic laboratory-specific differences can occur but may resolve over time or with protocol adherence.
- Laboratory-specific safety margins may be necessary to account for observed data variability in regulatory submissions.

