143 research outputs found
Significance of Conversation between Mast Cells and Nerves
More and more studies are demonstrating interactions between the nervous system and the immune system. However, the functional relevance of this interaction still remains to be elucidated. Such associations have been found in the intestine between nerves and mast cells as well as between eosinophils and plasma cells. Similar morphologic associations have been demonstrated in the liver, mesentery, urinary bladder, and skin. Unmyelinated axons especially were found to associate with mast cells as well as Langerhans' cells in primate as well as murine skin. Although there are several pathways by which immune cells interact with the nervous system, the focus in this review will be on the interaction between mast cells and nerves
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Modeling and Decoding Motor Cortical Activity Using a Switching Kalman Filter
We present a switching Kalman filter model for the real-time inference of hand kinematics from a population of motor cortical neurons. Firing rates are modeled as a Gaussian mixture where the mean of each Gaussian component is a linear function of hand kinematics. A "hidden state" models the probability of each mixture component and evolves over time in a Markov chain. The model generalizes previous encoding and decoding methods, addresses the non-Gaussian nature of firing rates, and can cope with crudely sorted neural data common in on-line prosthetic applications.Mathematic
Lost in translation? The potential psychobiotic Lactobacillus rhamnosus (JB-1) fails to modulate stress or cognitive performance in healthy male subjects
Background: Preclinical studies have identified certain probiotics as psychobiotics a live microorganisms with a potential mental health benefit. Lactobacillus rhamnosus (JB-1) has been shown to reduce stress-related behaviour, corticosterone release and alter central expression of GABA receptors in an anxious mouse strain. However, it is unclear if this single putative psychobiotic strain has psychotropic activity in humans. Consequently, we aimed to examine if these promising preclinical findings could be translated to healthy human volunteers. Objectives: To determine the impact of L. rhamnosus on stress-related behaviours, physiology, inflammatory response, cognitive performance and brain activity patterns in healthy male participants. An 8 week, randomized, placebo-controlled, cross-over design was employed. Twenty-nine healthy male volunteers participated. Participants completed self-report stress measures, cognitive assessments and resting electroencephalography (EEG). Plasma IL10, IL1Ξ², IL6, IL8 and TNFΞ± levels and whole blood Toll-like 4 (TLR-4) agonist-induced cytokine release were determined by multiplex ELISA. Salivary cortisol was determined by ELISA and subjective stress measures were assessed before, during and after a socially evaluated cold pressor test (SECPT). Results: There was no overall effect of probiotic treatment on measures of mood, anxiety, stress or sleep quality and no significant effect of probiotic over placebo on subjective stress measures, or the HPA response to the SECPT. Visuospatial memory performance, attention switching, rapid visual information processing, emotion recognition and associated EEG measures did not show improvement over placebo. No significant anti-inflammatory effects were seen as assessed by basal and stimulated cytokine levels. Conclusions: L. rhamnosus was not superior to placebo in modifying stress-related measures, HPA response, inflammation or cognitive performance in healthy male participants. These findings highlight the challenges associated with moving promising preclinical studies, conducted in an anxious mouse strain, to healthy human participants. Future interventional studies investigating the effect of this psychobiotic in populations with stress-related disorders are required
A simple spontaneously active Hebbian learning model: homeostasis of activity and connectivity, and consequences for learning and epileptogenesis
A spontaneously active neural system that is capable of continual learning
should also be capable of homeostasis of both firing rate and connectivity.
Experimental evidence suggests that both types of homeostasis exist, and that
connectivity is maintained at a state that is optimal for information
transmission and storage. This state is referred to as the critical state. We
present a simple stochastic computational Hebbian learning model that
incorporates both firing rate and critical homeostasis, and we explore its
stability and connectivity properties. We also examine the behavior of our
model with a simulated seizure and with simulated acute deafferentation. We
argue that a neural system that is more highly connected than the critical
state (i.e., one that is "supercritical") is epileptogenic. Based on our
simulations, we predict that the post-seizural and post-deafferentation states
should be supercritical and epileptogenic. Furthermore, interventions that
boost spontaneous activity should be protective against epileptogenesis.Comment: 37 pages, 1 table, 7 figure
GABA Regulation of Burst Firing in Hippocampal Astrocyte Neural Circuit: A Biophysical Model
It is now widely accepted that glia cells and gamma-aminobutyric acidergic (GABA) interneurons dynamically regulate synaptic transmission and neuronal activity in time and space. This paper presents a biophysical model that captures the interaction between an astrocyte cell, a GABA interneuron and pre/postsynaptic neurons. Specifically, GABA released from a GABA interneuron triggers in astrocytes the release of calcium (Ca2+) from the endoplasmic reticulum via the inositol 1, 4, 5-trisphosphate (IP3) pathway. This results in gliotransmission which elevates the presynaptic transmission probability rate (PR) causing weight potentiation and a gradual increase in postsynaptic neuronal firing, that eventually stabilizes. However, by capturing the complex interactions between IP3, generated from both GABA and the 2-arachidonyl glycerol (2-AG) pathway, and PR, this paper shows that this interaction not only gives rise to an initial weight potentiation phase but also this phase is followed by postsynaptic bursting behavior. Moreover, the model will show that there is a presynaptic frequency range over which burst firing can occur. The proposed model offers a novel cellular level mechanism that may underpin both seizure-like activity and neuronal synchrony across different brain regions
In silico design of novel probes for the atypical opioid receptor MRGPRX2
The primate-exclusive MRGPRX2 G protein-coupled receptor (GPCR) has been suggested to modulate pain and itch. Despite putative peptide and small molecule MRGPRX2 agonists, selective nanomolar potency probes have not yet been reported. To identify a MRGPRX2 probe, we first screened 5,695 small molecules and found many opioid compounds activated MRGPRX2, including (β)- and (+)-morphine, hydrocodone, sinomenine, dextromethorphan and the prodynorphin-derived peptides, dynorphin A, dynorphin B, and Ξ±- and Ξ²-neoendorphin. We used these to select for mutagenesis-validated homology models and docked almost 4 million small molecules. From this docking, we predicted ZINC-3573, which represents a potent MRGPRX2-selective agonist, showing little activity against 315 other GPCRs and 97 representative kinases, and an essentially inactive enantiomer. ZINC-3573 activates endogenous MRGPRX2 in a human mast cell line inducing degranulation and calcium release. MRGPRX2 is a unique atypical opioid-like receptor important for modulating mast cell degranulation, which can now be specifically modulated with ZINC-3573
Molecular Constraints on Synaptic Tagging and Maintenance of Long-Term Potentiation: A Predictive Model
Protein synthesis-dependent, late long-term potentiation (LTP) and depression
(LTD) at glutamatergic hippocampal synapses are well characterized examples of
long-term synaptic plasticity. Persistent increased activity of the enzyme
protein kinase M (PKM) is thought essential for maintaining LTP. Additional
spatial and temporal features that govern LTP and LTD induction are embodied in
the synaptic tagging and capture (STC) and cross capture hypotheses. Only
synapses that have been "tagged" by an stimulus sufficient for LTP and learning
can "capture" PKM. A model was developed to simulate the dynamics of key
molecules required for LTP and LTD. The model concisely represents
relationships between tagging, capture, LTD, and LTP maintenance. The model
successfully simulated LTP maintained by persistent synaptic PKM, STC, LTD, and
cross capture, and makes testable predictions concerning the dynamics of PKM.
The maintenance of LTP, and consequently of at least some forms of long-term
memory, is predicted to require continual positive feedback in which PKM
enhances its own synthesis only at potentiated synapses. This feedback
underlies bistability in the activity of PKM. Second, cross capture requires
the induction of LTD to induce dendritic PKM synthesis, although this may
require tagging of a nearby synapse for LTP. The model also simulates the
effects of PKM inhibition, and makes additional predictions for the dynamics of
CaM kinases. Experiments testing the above predictions would significantly
advance the understanding of memory maintenance.Comment: v3. Minor text edits to reflect published versio
Short-term immobilization influences use-dependent cortical plasticity and fine motor performance
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