bioRxiv Science⌕ Search

bioRxiv · 10.64898/2026.05.10.724133

The role of opioid receptors in tianeptine-induced beta oscillations and memory enhancement

Abstract

Memory impairment is a common and sometimes overlooked feature of major depressive disorder, and cognitive deficits may precede the onset of depressive symptoms in some cases. However, the cognitive benefits of first-line treatments such as SSRIs are mixed. Tianeptine is an atypical antidepressant and cognitive enhancer that neither interacts with monoamine receptors nor inhibits the reuptake of their neurotransmitters. Its antidepressant efficacy in animal models requires activation of the mu-opioid receptor (mu-OR) and phosphorylation of the AMPA receptor. However, the receptors that mediate its memory enhancing actions have never been investigated. We therefore tested the ability of tianeptine to improve spatial memory in a cross-maze task in wild-type (WT) mice compared to its effects in mice with global knockout of either the mu-OR or delta-OR. In parallel, we assessed the effects of tianeptine on hippocampal oscillatory activity and spontaneous locomotion in the same genotypes. Adult male and female WT, mu -/-, and delta -/- mice on a C57BL/6J background were implanted with hippocampal electrodes for the recording of local field potential (LFP) oscillations. Consistent with our previous observations in anaesthetised rats, injection of tianeptine (10 mg/kg and 30 mg/kg SC) caused a dose-dependent increase in beta-frequency power in WT mice that was maximal at circa 25 Hz. The same effect was observed in delta -/- mice, but the increase in beta was completely absent in mu -/- animals. As others have reported previously, tianeptine also caused a mu-OR-dependent increase in spontaneous locomotor activity, but with a time-course that was distinct from the increase in beta power. Separate groups of WT, mu -/-, and delta -/- mice were tested for their ability to learn a food-rewarded spatial memory task in a cross-maze. Over a 20-day training period, sub-groups of each genotype received either tianeptine (10 mg/kg SC) or vehicle injection 30 min before testing. Tianeptine increased the percentage of correct trials and the number of allocentric (place) responses in WT mice, but did not enhance memory in either mu -/- or delta -/- mice, even though both genotypes were able to learn the task. These results indicate that the ability of tianeptine to drive hippocampal beta oscillations is dependent on the mu-OR, whereas its memory-enhancing actions require the presence of both mu- and delta-ORs. The latter result is consistent with the actions of tianeptine on postsynaptic AMPA receptors, and we are currently exploring the signalling pathways involved in this process.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Trigo, M. J., Knott, T. S., Langston, R. F., Lambert, J. J., Martin, S. J.. 2026-05-13. The role of opioid receptors in tianeptine-induced beta oscillations and memory enhancement. https://doi.org/10.64898/2026.05.10.724133

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

KEEP EXPLORING

Related preprints

Connexin 40 deficiency alters the temporal profile of postictal oxygen dynamics following focal seizures.

Epilepsy is increasingly recognized as a disorder involving both neuronal and vascular dysfunction. While connexin signaling has been implicated in epileptogenesis, the contribution of vascular connexins to seizure associated cerebrovascular pathology remains poorly understood. Connexin40 (Cx40) is an endothelial gap junction protein that plays a crucial role in vascular communication and blood-flow regulation. Seizures induce dynamic changes in cerebral perfusion and oxygenation, including prolonged postictal hypoperfusion/hypoxia. To determine whether Cx40 influences postictal hypoxia following focal seizures, we examined seizure characteristics and postictal oxygen dynamics in Cx40 knockout (Cx40-/-) mice using an established focal hippocampal seizure model. Electrically kindled seizures were elicited in wild-type and Cx40-/- mice, and local hippocampal tissue oxygenation was continuously monitored before and after seizure induction. Seizure duration did not differ between genotypes, indicating comparable seizure severity. Interestingly, Cx40 deletion altered the temporal pattern of postictal oxygen recovery, producing greater early hypoxia and a delayed secondary rebound in pO2 despite similar peak oxygen levels and overall hypoxic burden. These findings demonstrate that loss of Cx40 selectively alters the temporal profile of postictal oxygen dynamics without affecting seizure duration. Taken together, the results suggest that endothelial gap junctional communication contributes to postictal vascular recovery and identify Cx40 as a potential modulator of seizure associated neurovascular dysfunction.

neuroscience↗

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↗