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Lynch, N.

Publications and source records attributed to Lynch, N..

5 recordsLinked to original sources

A Hypothalamic Pathway for Energy Conservation

Many animals utilize a survival strategy of hypothermia, inactivity, and a dramatic decrease in their energy metabolism when faced with a shortfall in energy supplies. Mice, for example, show daily torpor that may last several hours to bridge the lack of energy availability in a cold environment. While our recent studies identified a population of neurons in the median preoptic nucleus (MnPO) necessary for fasting-induced torpor regulation, the specific brain circuits that trigger energy conservation in response to food restriction are unknown. We show here that the energy state of the animal is conveyed to preoptic neurons by inputs from the arcuate nucleus (ARC), a region known to be indispensable for driving metabolic and behavioral adaptations to the fasted state. We first found that the activity of ARC neurons expressing Agouti-Related Peptide (ARCAgRP) is required for the generation of fasting-induced torpor. Then, we showed that torpor-active ARCAgRP neurons innervate the preoptic area of the hypothalamus (POA), including the MnPO. Using optogenetic methods, we also found that activating the ARCAgRP-MnPO pathway induces key features of torpor: decreased body temperature, bradycardia, reduction of energy expenditure, and suppression of brown adipose tissue thermogenesis. Remarkably, we also show that inhibition of the ARCAgRP-MnPO brain circuit entirely prevents fasting-induced torpor. Furthermore, we identified that both NPY and GABA are neuromodulators used by ARCAgRP neurons to enable hypothermic responses during starvation. Our studies provide a detailed view of a hypothalamic pathway enabling energy conservation, a survival mechanism in conditions of low energy availability.

neuroscience↗

Fentanyl + Xylazine Co Administration Leads to Sustained Depression of Breathing and Body Temperature Likely Driven by mu Opioid and alpha2a Adrenergic Pathway Interactions

Background and PurposeIts been reported that illicit drug supplies increasingly contain the 2-adrenergic agonist, xylazine, alongside fentanyl, yet the pharmacological basis for the greater lethality of this combination remains unclear. Prior research has shown that -opioid (Oprm1) receptors, on which fentanyl acts, and 2-adrenergic (Adra2a) receptors, on which xylazine acts, are both expressed within brainstem circuits that govern autonomic control, especially the parabrachial (PB) and Kolliker-Fuse (KF) nuclei that regulate respiration. Thus, we propose that co-activation of these inhibitory receptors and their respective pathways could potentiate or additively suppress respiratory and thermoregulatory function. Experimental ApproachFreely behaving C57BL/6J mice received intraperitoneal injections of either saline, fentanyl, xylazine, or fentanyl-xylazine (F+X) solutions. Continuous recordings of respiration using whole-body plethysmography, sleep/wake state using EEG/EMG and body temperature using both infrared thermography, and telemetry were collected for several hours following injection. RNAscope was used to identify Oprm1 and Adra2a expression within PB and KF nuclei. ResultsFentanyl alone produced dose-dependent respiratory depression that was not associated with body temperature changes, whereas the dose we used of xylazine alone had no effect on either respiration or body temperature. In contrast, F+X induced a markedly prolonged (>5 h) reduction in respiratory rate and profound hypothermia lasting 7-8 h, exceeding the effects of either drug alone. Mortality increased to 58.8% following F+X exposure. RNAscope revealed that both Oprm1 and Adra2a receptors are expressed in PB/KF FoxP2-positive neurons, identifying a plausible substrate for convergent inhibitory signaling. ImplicationsThis manuscript provides the first direct experimental evidence that fentanyl and xylazine may interact through convergent -opioid and 2-adrenergic receptor signaling to produce additive and sustained suppression of respiratory and thermoregulatory function. These findings address a critical mechanistic gap in understanding the disproportionate lethality of fentanyl-xylazine mixtures, an emerging public-health crisis. The work further identifies the PB/KF FoxP2 population as a plausible site of dual-receptor convergence and highlights a previously unrecognized pharmacodynamic interaction with immediate implications for overdose reversal strategies. Given the novelty, mechanistic insight, and translational urgency of these results, rapid dissemination will help accelerate scientific and clinical responses to this evolving threat. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=75 SRC="FIGDIR/small/719036v1_ufig1.gif" ALT="Figure 1"> View larger version (31K): org.highwire.dtl.DTLVardef@5b54aeorg.highwire.dtl.DTLVardef@148b7dorg.highwire.dtl.DTLVardef@d1ebccorg.highwire.dtl.DTLVardef@1cfa9c8_HPS_FORMAT_FIGEXP M_FIG Possible convergent -opioid (Oprm1) and 2-adrenergic (Adra2a) signaling within parabrachial FoxP2-expressing neurons likely produces additive suppression of respiratory and thermoregulatory drive during fentanyl-xylazine co-exposure. Fentanyl and xylazine engage parallel inhibitory GPCR pathways in Parabrachial/ Kolliker Fuse nucleus (PB/KF) neurons that project to the pre-Botzinger complex (preBotC) to depress respiratory rhythm and to the dorsomedial hypothalamus (DMH) to blunt thermogenic output. Co-activation of these pathways results in sustained bradypnea, profound hypothermia, and reduced survival, providing a possible mechanistic basis for the increased lethality of fentanyl-xylazine mixtures. C_FIG

neuroscience↗

Melanocortin-responsive Kiss1 neurons of the arcuate nucleus drive energy expenditure through glutamatergic signaling to the dorsomedial hypothalamus.

Energy expenditure (EE) is essential for metabolic homeostasis, yet its central regulation remains poorly understood. Here, we identify arcuate Kiss1 neurons as key regulators of EE in male mice. Ablation of these neurons induced obesity, while their chemogenetic activation increased brown adipose tissue (BAT) thermogenesis without affecting food intake. This action is mediated by glutamatergic projections from Kiss1ARC neurons to CART/Lepr-expressing neurons in the dorsomedial hypothalamus, which activate the raphe pallidus-BAT pathway. CRISPR-mediated deletion of the vesicular glutamate transporter 2 (Vglut2) from Kiss1ARC neurons replicated the obesogenic effect. Furthermore, deletion of the melanocortin 4 receptor (MC4R) from Kiss1 neurons resulted in obesity, reduced energy expenditure and impaired thermogenesis. Optogenetic stimulation of pro-opiomelanocortin (POMC) fibers evoked inward currents in Kiss1 neurons, that were attenuated by MC4R antagonism. Our findings reveal a previously unrecognized neural circuit that mediates melanocortin action on energy expenditure, offering new insights into central mechanisms of metabolic control.

neuroscience↗

Identifying the Brain Circuits that Regulate Pain-Induced Sleep Disturbances

Pain therapies that alleviate both pain and sleep disturbances may be the most effective for pain relief, as both chronic pain and sleep loss render the opioidergic system, targeted by opioids, less sensitive and effective for analgesia. Therefore, we first studied the link between sleep disturbances and the activation of nociceptors in two acute pain models. Activation of nociceptors in both acute inflammatory (AIP) and opto-pain models led to sleep loss, decreased sleep spindle density, and increased sleep fragmentation that lasted 3 to 6 hours. This relationship is facilitated by the transmission of nociceptive signals through the spino-parabrachial pathways, converging at the wake-active PBelCGRP (parabrachial nucleus expressing Calcitonin Gene-Related Peptide) neurons, known to gate aversive stimuli. However, it has never been tested whether the targeted blocking of this wake pathway can alleviate pain-induced sleep disturbances without increasing sleepiness. Therefore, we next used selective ablations or optogenetic silencing and identified the key role played by the glutamatergic PBelCGRP in pain-induced sleep disturbances. Inactivating the PBelCGRP neurons by genetic deletion or optogenetic silencing prevented these sleep disturbances in both pain models. Furthermore, to understand the wake pathways underlying the pain-induced sleep disturbances, we silenced the PBelCGRP terminals at four key sites in the substantia innominata of the basal forebrain (SI-BF), the central nucleus of Amygdala (CeA), the bed nucleus of stria terminalis (BNST), or the lateral hypothalamus (LH). Silencing of the SI-BF and CeA also significantly reversed pain-induced sleep loss, specifically through the action on the CGRP and NMDA receptors. This was also confirmed by site-specific blockade of these receptors pharmacologically. Our results highlight the significant potential for selectively targeting the wake pathway to effectively treat pain and sleep disturbances, which will minimize risks associated with traditional analgesics. One sentence summaryParabrachial CGRP neurons regulate awakenings to pain.

neuroscience↗

A Comprehensive and Predictive Agent-based Model for Collective House-Hunting in Ant Colonies

The decentralized cognition of animal groups is both a challenging biological problem and a potential basis for bio-inspired design. The understanding of these systems and their application can benefit from modeling and analysis of the underlying algorithms. In this study, we define a modeling framework that can be used to formally represent all components of such algorithms. As an example application of the framework, we adapt to it the much-studied house-hunting algorithm used by emigrating colonies of Temnothorax ants to reach consensus on a new nest. We provide a Python simulator that encodes accurate individual behavior rules and produces simulated behaviors consistent with empirical observations, on both the individual and group levels. Critically, through multiple simulated experiments, our results highlight the value of individual sensitivity to site population in ensuring consensus. With the help of this social information, our model successfully reproduces experimental results showing the high cognitive capacity of colonies and their rational time investment during decision-making, and also predicts the pros and cons of social information with regard to the colonies ability to avoid and repair splits. Additionally, we use the model to make new predictions about several unstudied aspects of emigration behavior. Our results indicate a more complex relationship between individual behavior and the speed/accuracy trade-off than previously appreciated. The model proved relatively weak at resolving colony divisions among multiple sites, suggesting either limits to the ants ability to reach consensus, or an aspect of their behavior not captured in our model. It is our hope that these insights and predictions can inspire further research from both the biology and computer science community.

animal behavior and cognition↗