bioRxiv Science⌕ Search

bioRxiv · 10.1101/2023.12.07.570550

(2R,6R)-hydroxynorketamine facilitates extinction and prevents emotional impairment and stress-induced reinstatement in morphine abstinent mice

Abstract

Opioid addiction is a pressing public health concern marked by frequent relapse during periods of abstinence, perpetuated by negative affective states and anhedonia-driven behaviors. In addition to the current epidemic that was declared in the U.S.A., opioid-related deaths are increasing in other countries around the world. Classical antidepressants, or the currently prescribed opioid substitution pharmacotherapies have limited efficacy to reverse maladaptive behavioral responses, negative affect or prevent relapse in opioid abstinent individuals. Here, by establishing and using novel mouse models for the study of opioid addiction, we demonstrate, for the first time, the therapeutic potential of ketamines metabolite, (2R,6R)-hydroxynorketamine (HNK). In particular, our studies showcase (2R,6R)-HNKs ability to reverse conditioning to sub-effective doses of morphine in stress-susceptible mice, prevent conditioned-place aversion and mitigate acute somatic withdrawal symptoms in opioid-dependent animals. In addition, we show that this metabolite reverses anhedonia, anxiety-like behaviors, cognitive impairment, and general stress susceptibility associated with protracted opioid withdrawal, thereby presenting a promising therapeutic avenue for opioid relapse prevention. Our results strongly suggest that (2R,6R)-HNK, potentially by augmenting downstream brain-derived neurotrophic factor (BDNF) and GluN2A N-methyl-D-aspartate receptor signaling, effectively reverses maladaptive behavioral responses typical of protracted opioid abstinence. Furthermore, it facilitates the extinction of opioid conditioning and prevents stress-induced reinstatement of opioid-seeking behaviors. Our findings highlight how (2R,6R)-HNK, through an enhancement of synaptic plasticity in mood-regulating brain areas, has the potential to be an effective, next-generation pharmacotherapy for opioid use disorders by addressing emotional disturbances associated with protracted abstinence. SIGNIFICANCE STATEMENTOur studies represent a comprehensive exploration into the critical facets of opioid addiction and abstinence, offering critical insights into the significant potential of (2R,6R)-HNK as a treatment for this disorder. By unraveling the complex dynamics of opioid withdrawal and addressing the profound emotional disturbances underlying relapse vulnerability, our findings illuminate a promising innovative avenue for therapeutic intervention. The demonstrated ability of (2R,6R)-HNK to reverse maladaptive behaviors emerging during protracted opioid abstinence, facilitate extinction of opioid conditioning, prevent stress-induced reinstatement, represents a paradigm shift in addiction research. These revelations not only deepen our comprehension of the neurobehavioral complexities associated with opioid abstinence but also underscore the profound implications of (2R,6R)-HNK as a prospective pharmacotherapy in mitigating the devastating impact of opioid use disorder, potentially transforming addiction treatment strategies.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Michael, A., Onisiforou, A., Georgiou, P., Koumas, M., Mammadov, E., Zanos, P.. 2023-12-08. (2R,6R)-hydroxynorketamine facilitates extinction and prevents emotional impairment and stress-induced reinstatement in morphine abstinent mice. https://doi.org/10.1101/2023.12.07.570550

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

KEEP EXPLORING

Related preprints

Same Movements, Different Skills: How Context Shapes Learning in Humans and Neural Networks

What determines whether experiences are integrated into shared representations or split? Motor skill learning offers a revealing test: when two tasks require an identical sequence of movements, both intuition and theory suggest that practice in one should generalize to the other. Yet we find that changing context can make identical movements different skills. In simple recurrent networks trained on the same sequence across contexts, splitting was greatest when strong contextual inputs coincided with a high initial weight scale; neither alone sufficed. Greater representational separation coincided with separate context-specific learning curves. Humans practicing the same finger sequence while alternating between two performance-irrelevant contexts likewise exhibited context-specific curves, rather than the single continuous trajectory observed when practicing in a single context. State-space modeling favored split learning states in humans and very weakly coupled states in the most context-dependent networks. These findings have broader implications for understanding how learning generalizes across contexts.

neuroscience↗

Postpartum resource scarcity reshapes maternal care, offspring prioritization, and the steroid-sensitive medial preoptic area

Parental care requires balancing offspring needs with environmental constraints, yet how resource scarcity alters the organization of maternal responses remains poorly understood. Here, we examined maternal behavior, offspring prioritization, and steroid receptor-associated extracellular matrix organization in postpartum rats exposed to limited bedding and nesting (LBN) or control conditions with ample nesting materials. LBN increased pup-directed and reduced self-directed behaviors but also increased behavioral entropy, a measure of behavioral fragmentation, indicating less predictable caregiving sequences. LBN dams preferentially retrieved male pups first, whereas control dams preferentially retrieved females first. LBN also increased the proportion of pup-investigation time directed toward males compared with controls. In offspring on postnatal day 10, corticosterone was elevated in female but not male LBN pups, a pattern that paralleled the maternal male bias. To identify associated neurobiological changes, we assessed steroid receptors and extracellular matrix organization in the medial preoptic area (mPOA), a key region for maternal behavior. LBN increased numbers of estrogen receptor (ER)- and androgen receptor (AR)-immunoreactive cells, reduced perineuronal net (PNN) abundance, and decreased receptor-positive cell enwrapment. Because PNNs constrain structural plasticity, these findings suggest that the postpartum environment alters the organization of steroid receptor-associated extracellular matrix, potentially modulating experience-dependent plasticity in neurosteroid-sensitive circuits. In sum, LBN increases the levels of maternal engagement while reshaping its temporal organization and allocation, accompanied by selective remodeling of steroid-sensitive preoptic architecture. Therefore, maternal adaptation to adversity may be better understood as changes in caregiving allocation strategies rather than a simple gain or loss of maternal care.

neuroscience↗

The Computational Grammar of Human Behaviour in a Biological Environment

Human behaviour unfolds as an extended stream of spontaneous actions shaped by environmental demands and the agent's goals. The organisation of these actions, situated between setting abstract goals and concrete movement execution, remains poorly characterised. Here, we introduce DynaClade, an unsupervised temporal action segmentation algorithm for human full-body motion capture data, and apply it to freely moving participants navigating ecologically realistic risky foraging environments in virtual reality. DynaClade identifies discrete actions whose kinematic characteristics and spatial distributions correspond to environmental affordances, supporting the validity of the approach. Among these actions, we discovered a hitherto undescribed movement pattern defined by increased body sway without locomotion. Action sequences were highly non-random and showed clear history dependence beyond first-order Markov structure, most of which was explained by a second-order prediction. This higher-order structure was well captured in a hidden Markov model, in which some of the observed actions were associated with more than one latent state. Each of these latent states corresponded to the same action in a distinct action context. These findings suggest that spontaneous human actions are predominantly selected based on the current action and context, rather than following pre-planned or habitually assembled sequences.

neuroscience↗