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Updated: Jan 14, 2026

Methods for the Discovery of Novel Compounds Modulating a Gamma-Aminobutyric Acid Receptor Type A Neurotransmission
Published on: August 16, 2018
Fluorescence-based assay for rapid screening of GABAA receptor modulating steroid antagonists (GAMSA)
Jan Voldřich1, Hana Zemková2, Markéta Šmídková3
1Institute of Organic Chemistry and Biochemistry, Academy of Sciences of the Czech Republic, Flemingovo nam. 2, Prague 6 - Dejvice, 166 10, Czech Republic; University of Chemistry and Technology, Technická 5, Prague 6 - Dejvice, 166 28, Czech Republic.
Abstract:
GABAA receptor modulating steroid antagonists (GAMSA) represent a promising therapeutic class by selectively inhibiting the effects of positive allosteric modulators (PAMs) at GABAA receptors without affecting GABA-evoked currents alone. This mechanism avoids the risk of overexcitation and seizures associated with direct GABAA receptor blockers, making GAMSA a safer alternative for conditions linked to elevated levels of endogenous PAMs such as allopregnanolone (ALLO), including compulsive disorders and hepatic encephalopathy. Despite growing interest, a high-throughput screening (HTS) method for the identification of novel GAMSA has been lacking. Here, we introduce a fluorescence-based membrane potential assay in CHO cells stably expressing GABAA (α1β2γ2) receptors for rapid identification of compounds with GAMSA activity. This robust three-component assay, previously unused in this context, yielded a Z-factor of 0.45 and a minimum significant difference (MSD) of 4.90 %. A library of 108 neurosteroids (10 μM) was subsequently tested in the presence of GABA and ALLO. Isoallopregnanolone (IsoALLO), a known GAMSA, was the only compound that significantly reduced ALLO-potentiated GABA responses (to 42 ± 3 %) without affecting GABA-evoked responses alone. The inhibitory effect of IsoALLO was confirmed using manual patch-clamp recordings in primary rat anterior pituitary cells, which endogenously express GABAA receptors, where it reduced ALLO-potentiated GABA-induced currents by 32 ± 4 %. This study validates the first cell-based HTS method for GAMSA identification and demonstrates its utility in distinguishing GAMSA from direct channel blockers or negative allosteric modulators (NAMs) using standard laboratory equipment.

