Search bioRxiv⌕ Search

bioRxiv · 10.1101/2025.11.14.688378

UCM-A86 is a selective positive allosteric modulator of GluN1/GluN3 NMDA receptors

Abstract

N-methyl-D-aspartate (NMDA) receptors are ionotropic glutamate receptors that mediate excitatory neurotransmission in the central nervous system (CNS) where they play critical roles in normal and pathological brain functions and neurodevelopment. While the glutamate/glycine-activated GluN2-containing NMDA receptors (GluN1/GluN2) have been extensively studied, the physiological roles and pharmacology of glycine-activated GluN3-containing receptors (GluN1/GluN3) remain less understood. Although GluN1/GluN3 receptors exhibit unique functional properties and play distinct roles in neuronal development and synapse maturation, studies of their precise roles in neurophysiology and circuit function are impeded by limited availability of GluN3-selective pharmacological tools. This study describes UCM-A86, a novel GluN3-selective positive allosteric modulator, with EC50 values of 21 {micro}M and 19 {micro}M at GluN1/GluN3A and GluN1/GluN3B receptors, respectively. UCM-A86 selectively potentiates recombinant GluN1/GluN3A and GluN1/GluN3B receptors by 436% and 174%, respectively, relative to activation by glycine, with no activity at recombinant GluN1/GluN2A-D receptors. Furthermore, UCM-A86 selectively potentiates responses from native GluN1/GluN3A receptors expressed in somatostatin-expressing interneurons of the somatosensory cortex with no modulation of hippocampal AMPA receptor- and GluN1/2 NMDA receptor-mediated excitatory postsynaptic currents. Mechanistic studies suggest that UCM-A86 modulation is facilitated by agonist binding (or channel gating) and that UCM-A86 primarily potentiates GluN1/GluN3A by increasing open probability with no effects on mean channel conductance. These findings advance the synthetic pharmacology of GluN1/GluN3 receptors and provide a novel tool for modulation of native GluN3-containing NMDA receptors. Significance statementThis study introduces UCM-A86 as the first positive allosteric modulator selective for GluN3-containing NMDA receptors, addressing a critical gap in the pharmacological toolbox for investigating these understudied receptor subtypes. Using electrophysiological approaches in both recombinant and native systems, UCM-A86 demonstrates specific modulation of GluN3-containing NMDA receptors without affecting GluN2-containing NMDA receptors or AMPA receptors. UCM-A86 therefore provides new avenues to investigate the physiological roles of GluN3 subunits in normal and pathological brain function.

Source connections

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Benton, A. J., Johns, M. R., Diamant, E., Rouzbeh, N., Sorensen, V. P., Anderson, C. M., Secci, D., Zhang, Z., Rau, A. R., Clausen, R. P., Hansen, K. B.. 2025-11-16. UCM-A86 is a selective positive allosteric modulator of GluN1/GluN3 NMDA receptors. https://doi.org/10.1101/2025.11.14.688378

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Attention Across Scales: From Individual Variation to Social Hierarchies and Brain Networks in Semi-Free-Ranging Macaques

Attention is a fundamental brain function supporting perception, decision-making, and social behavior, and its dysfunction profoundly impairs daily life. It is both dynamic and stable, varying across observations and individuals, changing across the lifespan, and being shaped by social and environmental experience. Yet capturing this complexity remains a central challenge in neuroscience. Here, we integrated longitudinal behavioral assessments of semi-free-ranging macaques living in naturalistic social groups with resting-state fMRI. We quantified performance across days, ages, and social hierarchies and related it to intrinsic brain organization. Distinct attentional phenotypes emerged, including individuals with reduced attentional control. Performance followed an inverted-U lifespan trajectory, improving from childhood to adulthood before declining. Social status modulated attentional performance. Critically, nonlinear lifespan trajectories and associations with individual attentional differences were most clearly expressed in frontoparietal connectivity. Together, these findings reveal how sustained attention is organized across scales, providing a biological framework for its individual diversity, social modulation, and neural basis.

neuroscience↗

Decoding natural scenes from patterned optogenetic responses in mouse visual cortex

A central challenge in developing visual cortical prostheses is to determine how visual stimuli should be transformed into effective patterns of cortical stimulation. Although advances in stimulation technologies, including optogenetics, provide increasingly precise control over cortical activity, it remains unclear whether artificially evoked activity can reproduce the information content of naturally evoked visual representations. Here we establish a quantitative framework for evaluating visual encoding strategies by decoding cortical responses evoked by natural vision and patterned optogenetic stimulation. We developed a novel dual-modal paradigm in awake mice to bridge the gap between endogenous photostimulation and artificial network driving. By co-expressing the high-performance calcium indicator GCaMP6s and the red-shifted, ultra-sensitive opsin rsChRmine-oScarlet in the primary visual cortex (V1), we successfully translated dynamic natural movie frames into patterned, spatiotemporal optogenetic stimulation. Quantitative comparisons of macro-scale dynamics demonstrated that this patterned optogenetic injection evokes cortical states highly comparable and representationally aligned with those driven by actual visual photostimulation. To systematically evaluate the fidelity of these responses, we developed STAR, a deep learning model featuring spatial and temporal attention mechanisms, and successfully reconstructed the frames of natural movies from V1 signals under both experimental modalities. Collectively, our results demonstrate that complex sensory information can be both naturally encoded and synthetically injected into V1 circuits with high decoding fidelity. This work provides an empirical and computational proof-of-concept for intelligent, closed-loop biomimetic encoders, establishing a robust framework for next-generation cortical visual neuroprostheses and bidirectional brain-machine interfaces.

neuroscience↗

Why Is Spontaneous Blink Timing Informative? An Adaptive Scheduling Perspective

Spontaneous eye blinks have long been linked to cognitive processing, yet how task demands shape blink timing and its relationship to behavioral performance remains unclear. We examined spontaneous blink behavior in 576 adults performing two variants of the Continuous Performance Task (CPT). Blink occurrence and timing were most strongly modulated by the experimental condition in the more demanding CPT-AX task, whereas their association with response time was stronger in the CPT-X task, where more consistent blink timing predicted faster responses. This dissociation suggests that task structure changes not only blink behavior but also the behavioral relevance of blink timing. These findings are consistent with an adaptive scheduling account of spontaneous blinking and provide a conceptual framework for understanding when and why blink timing contains chronometric information about ongoing cognition.

neuroscience↗