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Kangas, B. D.

Publications and source records attributed to Kangas, B. D..

4 recordsLinked to original sources

Nociceptin Orphanin F/Q Pathways are Dysregulated by Stress and Modulate Reward Learning and Motivation Across Species

Nociceptin orphanin F/Q has been implicated in stress-related depressive phenotypes. Specifically, exposure to chronic stressors upregulates nociceptin receptors (NOPR), whereas NOPR antagonism has anti-depressant/anti-anhedonic effects. The mechanisms underlying these effects remain, however, unclear. Here, we investigated the role of NOPR in depressive phenotypes alongside potentially prohedonic effects of NOPR antagonism across species. In Study 1, we evaluated whether exposure to early-life adversity (ELA) upregulated ventral tegmental area (VTA) and striatal prepronociceptin (Pnoc) gene expression in adult mice. In Study 2, we tested whether chronic social defeat altered Pnoc gene expression in reward-related regions. To establish whether direct NOPR modulation is implicated in reward-related behaviors, in Study 3, we assessed whether NOPR antagonism alters reward learning in rats. Finally, in Study 4, we tested whether NOPR antagonism boosts motivation among depressed humans. ELA induced anhedonic behavior and increased Pnoc expression in the VTA; in females (but not males), ELA increased Pnoc expression in the dorsal striatum (Study 1). Furthermore, chronic stress reduced Pnoc-expressing cells in the VTA, dorsal striatum and prefrontal cortex and susceptible rats showed reduced VTA NOPR gene (Oprl1)-expressing cells (Study 2). In a behavioral assay, a single 30-mg dose of a NOPR antagonist (BTRX-246040) boosted reward learning in rats (Study 3). Finally, in depressed humans, relative to placebo, 8-week treatment with BTRX-246040 increased incentive motivation (Study 4). Collectively, our findings indicate that chronic stressors alter Pnoc and mRNA levels of Pnoc-expressing cells in a sex-selective and region-specific manner impacting reward structures, and that NOPR antagonism shows anti-anhedonic properties.

neuroscience↗

Correspondence between sleep patterns and anhedonia in adult male mice exposed to early-life stress

Early-life stress (ELS) can produce long-lasting effects that increase the risk for mood and anxiety disorders. Transdiagnostic symptoms include anhedonia (reduced reward sensitivity) and sleep disruption, both of which are quantifiable via objective endpoints that can be utilized across species. Here we used a mouse model for ELS--exposure to juvenile chronic social defeat stress (jCSDS)--together with translationally-applicable endpoints to examine correspondence between sleep patterns and anhedonia. These initial studies focused on males, which typically show robust defeat-induced anhedonia phenotypes. Exposure to jCSDS produced reductions in open-field social behavior, an endpoint commonly used in mice to quantify stress effects, during adulthood. Mice were then implanted with wireless transmitters that enable continuous EEG-derived analysis of sleep architecture. Following assessment of baseline sleep patterns, mice were tested in a rodent version of the Probabilistic Reward Task (PRT), a procedure used to quantify reward responsiveness in humans, during the light phase of their diurnal cycle. These studies revealed significant associations between baseline sleep architecture and anhedonic phenotypes in jCSDS-exposed mice: higher anhedonia correlated with less time awake and more time in slow wave sleep (SWS) during the light phase, and more time awake and less time in rapid eye movement (REM) sleep and SWS during the dark (active) phase. Our findings suggest that sleep patterns represent a biomarker that can predict stress-susceptible (higher anhedonia) and resilient (lower anhedonia) phenotypes. This work enhances our understanding of relationships between sleep and anhedonia, and may provide a basis for precision approaches to treat ELS-induced pathophysiology.

animal behavior and cognition↗

Early life stress in male mice blunts responsiveness in a translationally-relevant reward task

Early-life stress (ELS) leaves signatures upon the brain that persist throughout the lifespan and increase the risk of psychiatric illnesses including mood and anxiety disorders. In humans, myriad forms of ELS--including childhood abuse, bullying, poverty, and trauma--are increasingly prevalent. Understanding the signs of ELS, including those associated with psychiatric illness, will enable improved treatment and prevention. Here we developed a novel procedure to model human ELS in mice and identify translationally-relevant biomarkers of mood and anxiety disorders. We exposed male mice (C57BL/6J) to an early-life (juvenile) chronic social defeat stress (jCSDS) and examined social interaction and responsivity to reward during adulthood. As expected, jCSDS-exposed mice showed a socially avoidant phenotype in open-field social interaction tests. However, sucrose preference tests failed to demonstrate ELS-induced reductions in choice for the sweetened solution, suggesting no effect on reward function. To explore whether other tasks might be more sensitive to changes in motivation, we tested the mice in the Probabilistic Reward Task (PRT), a procedure often used in humans to study reward learning deficits associated with depressive illness. In a touchscreen PRT variant that was reverse-translated to maximize alignment with the version used in human subjects, mice exposed to jCSDS displayed significant reductions in the tendency to develop response biases for more richly-rewarded stimuli, a hallmark sign of depression (anhedonia) when seen in humans. Our findings suggest that translationally-relevant procedures that utilize the same endpoints across species may enable the development of improved model systems that more accurately predict outcomes in humans.

neuroscience↗

Resting state networks of awake adolescent and adult squirrel monkeys using ultra-high field (9.4T) functional magnetic resonance imaging

Resting state networks (RSNs) are increasingly forwarded as candidate biomarkers for neuropsychiatric disorders. Such biomarkers may provide objective measures for evaluating novel therapeutic interventions in nonhuman primates often used in translational neuroimaging research. This study aimed to characterize the RSNs of awake squirrel monkeys and compare the characteristics of those networks in adolescent and adult subjects. Twenty-seven squirrel monkeys (n=12 adolescents [6 male/6 female] [~]2.5 years and n=15 adults [7 male/8 female] [~]9.5 years) were gradually acclimated to awake scanning procedures; whole-brain fMRI images were acquired with a 9.4 Tesla scanner. Group level independent component (IC) analysis (30 ICs) with dual regression was used to detect and compare RSNs. Twenty ICs corresponding to physiologically meaningful networks representing a range of neural functions, including motor, sensory, reward (e.g., basal ganglia), and cognitive processes were identified in both adolescent and adult monkeys. Significant age-related differences between the adult and adolescent subjects (adult > adolescent) were found in two networks of interest: (1) the right upper occipital region with an OFC IC and (2) the left temporal cortex, bilateral visual areas, and cerebellum with the cingulate IC. These results demonstrate that squirrel monkey RSNs are stable and consistent with RSNs previously identified in humans, rodents, and other nonhuman primate species. These data also identify several networks in adolescence that are conserved and others that may change into adulthood. Significance StatementFunctional magnetic resonance imaging procedures have revealed important information about how the brain is modified by experimental manipulations, disease states, and aging throughout the lifespan. Preclinical neuroimaging, especially in nonhuman primates, has become a frequently used means to answer targeted questions related to brain resting-state functional connectivity. The present study characterized resting state networks (RSNs) in adult and adolescent squirrel monkeys; twenty RSNs corresponding to networks representing a range of neural functions were identified. The RSNs identified here can be utilized in future studies examining the effects of experimental manipulations on brain connectivity in squirrel monkeys. These data also may be useful for comparative analysis with other primate species to provide an evolutionary perspective for understanding brain function and organization.

neuroscience↗