Decoding Neurotransmitter Switching: the Road Forward
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The Baseline Structure of the Enteric Nervous System and Its Role in Parkinson’S Disease
life Review The Baseline Structure of the Enteric Nervous System and Its Role in Parkinson’s Disease Gianfranco Natale 1,2,* , Larisa Ryskalin 1 , Gabriele Morucci 1 , Gloria Lazzeri 1, Alessandro Frati 3,4 and Francesco Fornai 1,4 1 Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, 56126 Pisa, Italy; [email protected] (L.R.); [email protected] (G.M.); [email protected] (G.L.); [email protected] (F.F.) 2 Museum of Human Anatomy “Filippo Civinini”, University of Pisa, 56126 Pisa, Italy 3 Neurosurgery Division, Human Neurosciences Department, Sapienza University of Rome, 00135 Rome, Italy; [email protected] 4 Istituto di Ricovero e Cura a Carattere Scientifico (I.R.C.C.S.) Neuromed, 86077 Pozzilli, Italy * Correspondence: [email protected] Abstract: The gastrointestinal (GI) tract is provided with a peculiar nervous network, known as the enteric nervous system (ENS), which is dedicated to the fine control of digestive functions. This forms a complex network, which includes several types of neurons, as well as glial cells. Despite extensive studies, a comprehensive classification of these neurons is still lacking. The complexity of ENS is magnified by a multiple control of the central nervous system, and bidirectional communication between various central nervous areas and the gut occurs. This lends substance to the complexity of the microbiota–gut–brain axis, which represents the network governing homeostasis through nervous, endocrine, immune, and metabolic pathways. The present manuscript is dedicated to Citation: Natale, G.; Ryskalin, L.; identifying various neuronal cytotypes belonging to ENS in baseline conditions. -
Identification of Neuronal Subpopulations That Project From
Identification of neuronal subpopulations that project from hypothalamus to both liver and adipose tissue polysynaptically Sarah Stanleya,1, Shirly Pintoa,b,1, Jeremy Segala,c, Cristian A. Péreza, Agnes Vialea,d, Jeff DeFalcoa,e, XiaoLi Caia, Lora K. Heislerf, and Jeffrey M. Friedmana,g,2 aLaboratory of Molecular Genetics, Rockefeller University, New York, NY 10065; bMerck Research Laboratories, Rahway, NJ 07065; cDepartment of Pathology, Weill Cornell Medical College, New York, NY 10065; dGenomics Core Laboratory, Memorial Sloan Kettering Hospital, New York, NY 10065; eRenovis, San Fransisco, CA 94080; fDepartment of Pharmacology, University of Cambridge, Cambridge, CB2 1PD United Kingdom; and gHoward Hughes Medical Institute, Rockefeller University, New York, NY 10065 Contributed by Jeffrey M. Friedman, March 4, 2010 (sent for review January 6, 2010) The autonomic nervous system regulates fuel availability and of the solitary tract (NTS) (6) all modulate metabolic activity in energy storage in the liver, adipose tissue, and other organs; how- liver and white fat. Neuronal tracing studies confirm these areas, ever, the molecular components of this neural circuit are poorly and other studies innervate peripheral organs involved in car- understood. We sought to identify neural populations that project bohydrate and lipid metabolism (7–9). However, little is known from the CNS indirectly through multisynaptic pathways to liver of the site, organization, or connectivity of the CNS neural pop- and epididymal white fat in mice using pseudorabies -
Advanced CLARITY Methods for Rapid and High-Resolution Imaging of Intact Tissues Raju Tomer, Phd, and Karl Deisseroth, Phd
Advanced CLARITY Methods for Rapid and High-Resolution Imaging of Intact Tissues Raju Tomer, PhD, and Karl Deisseroth, PhD Department of Bioengineering Department of Psychiatry and Behavioral Sciences CNC Program, Howard Hughes Medical Institute Stanford University Stanford, California © 2014 Tomer Advanced CLARITY Methods for Rapid and High-Resolution Imaging of Intact Tissues 37 Introduction causally relevant to animal behavior. Suitable light- CLARITY is a method for chemical transformation based imaging approaches, combined with specific of intact biological tissues into a hydrogel-tissue genetic or histochemical molecular labeling methods, hybrid, which becomes amenable to interrogation have emerged as important tools for visualizing the with light and macromolecular labels while retaining structural, molecular, and functional architecture of fine structure and native biological molecules. This biological tissues, with a particularly vital role to play emerging accessibility of information from large in emerging brainwide, high-resolution neuroanatomy. intact samples has created both new opportunities and new challenges. In this chapter, we describe next- Confocal methods revolutionized light microscopy generation methods spanning multiple dimensions of by enabling optical sectioning in thick (tens of the CLARITY workflow. These methods range from a micrometers) fluorescently labeled samples, thereby novel approach to simple, reliable, and efficient lipid allowing three-dimensional (3D) reconstruction removal without electrophoretic -
Neural Circuit Mechanisms of Value-Based Decision-Making and Reinforcement Learning A
CHAPTER 13 Neural Circuit Mechanisms of Value-Based Decision-Making and Reinforcement Learning A. Soltani1, W. Chaisangmongkon2,3, X.-J. Wang3,4 1Dartmouth College, Hanover, NH, United States; 2King Mongkut’s University of Technology Thonburi, Bangkok, Thailand; 3New York University, New York, NY, United States; 4NYU Shanghai, Shanghai, China Abstract by reward-related signals. Over the course of learning, this synaptic mechanism results in reconfiguration of Despite groundbreaking progress, currently we still know the neural network to increase the likelihood of making preciously little about the biophysical and circuit mechanisms of valuation and reward-dependent plasticity underlying a rewarding choice based on sensory stimuli. The algo- adaptive choice behavior. For instance, whereas phasic firing rithmic computations of certain reinforcement models of dopamine neurons has long been ascribed to represent have often been translated to synaptic plasticity rules reward-prediction error (RPE), only recently has research that rely on the reward-signaling neurotransmitter begun to uncover the mechanism of how such a signal is dopamine (DA). computed at the circuit level. In this chapter, we will briefly review neuroscience experiments and mathematical models There are two main theoretical approaches to derive on reward-dependent adaptive choice behavior and then plasticity rules that foster rewarding behaviors. The first focus on a biologically plausible, reward-modulated Hebbian utilizes gradient-descent methods to directly maximize synaptic plasticity rule. We will show that a decision-making expected rewarddan idea known as policy gradient neural circuit endowed with this learning rule is capable of methods in machine learning [2,3]. Because neurons accounting for behavioral and neurophysiological observa- tions in a variety of value-based decision-making tasks, possess stochastic behaviors, many of these learning including foraging, competitive games, and probabilistic rules exploit the covariation between neural activity inference. -
Can a Compact Neuronal Circuit Policy Be Re-Purposed to Learn Simple Robotic Control?
Can a Compact Neuronal Circuit Policy be Re-purposed to Learn Simple Robotic Control? Ramin Hasani1∗, Mathias Lechner2∗, Alexander Amini3, Daniela Rus3 and Radu Grosu1 Abstract— We propose a neural information processing sys- Network general structure Tap-withdrawal neural circuit tem which is obtained by re-purposing the function of a k observations 4 observations biological neural circuit model, to govern simulated and real- AVM ALM 1 … k PVD PLM world control tasks. Inspired by the structure of the nervous system of the soil-worm, C. elegans, we introduce Neuronal Circuit Policies (NCPs), defined as the model of biological neural … circuits reparameterized for the control of an alternative task. 1 NI DVA PVC AVD We learn instances of NCPs to control a series of robotic tasks, including the autonomous parking of a real-world rover robot. For reconfiguration of the purpose of the neural circuit, 1 … Nc AVB AVA we adopt a search-based optimization algorithm. Neuronal circuit policies perform on par and in some cases surpass the … performance of contemporary deep learning models with the 1 n FWD REV advantage leveraging significantly fewer learnable parameters n actions 2 actions and realizing interpretable dynamics at the cell-level. sensory neuron command neuron chemical synapse I. INTRODUCTION upper interneuron motor neuron gap junction We wish to explore a new class of machine learning algorithms for robot control that is inspired by nature. Fig. 1. Left: C. elegans’ general neuronal circuit structure. Right: Tap- Through natural evolution, the subnetworks within the ner- Withdrawal (TW) neural circuit schematic. Total number of interneurons = Ni +NC. -
Synapses and Simple Neural Circuits! Summation of Signals! Some
The synapse Synapses and Simple Neural neurotransmitter + Na Circuits + ! K Synaptic vesicles containing Presynaptic Today’s topics: membrane neurotransmitter • Review action potentials Voltage-gated • The Synapse Ca2+ channel – Summation Ca2+ – Neurotransmitters Postsynaptic – Various drugs membrane http://images.lifescript.com/images/ebsco/images/synapse_neurotransmitter.JPG • Memory Ligand-gated ion channels 2 April 2012 How is the signal sent? How is the signal turned off? Signals can be excitatory or inhibitory Summation of Signals! The effects are SUMMED EPSP - excitatory post-synaptic potential IPSP - inhibitory post-synaptic potential Example: Neuron D receives inputs from A, B, and C. How would you Some Neurotransmitters! make it fire under the situation: (see Table 48.1) • Acetylcholine! • Only when A and B are • Norepinephrine! both signaling? A • Dopamine! • Serotonin! • Either A or B? • Glutamate! • A and B but not C? B D • GABA! C • And lots more! 1 Table 48-1 Acts as Precursor L-Dopa-> Dopamine Stimulates Release of NT Black Widow venom-> Ach Blocks Relase of NT Botulinum -> Ach Blocks Reuptake Stimulates Receptors Cocaine -> Dopamine Nocotine -> Ach Blocks Receptors Curare, Atropine -> Ach Actions of Various Drugs Fig. 49-22 Nicotine stimulates Dopamine- releasing neuron. Opium and heroin decrease activity of inhibitory neuron. Cocaine and amphetamines block removal of dopamine. Reward system response Mescaline (from peyote) mimics norepinephrine. Psilocybe cubensis (Magic mushrooms) 2 Cell body of Gray A very simple sensory neuron in matter dorsal root neural circuit ganglion Memory! White matter NY Times! Spinal cord (cross section) Sensory neuron Motor neuron Fig. 49-3 Interneuron Fig. 49-19 Figure 49.20a N1 N1 Ca2+ Na+ N2 N2 (a) Synapses are strengthened or weakened in response to activity. -
11 Introduction to the Nervous System and Nervous Tissue
11 Introduction to the Nervous System and Nervous Tissue ou can’t turn on the television or radio, much less go online, without seeing some- 11.1 Overview of the Nervous thing to remind you of the nervous system. From advertisements for medications System 381 Yto treat depression and other psychiatric conditions to stories about celebrities and 11.2 Nervous Tissue 384 their battles with illegal drugs, information about the nervous system is everywhere in 11.3 Electrophysiology our popular culture. And there is good reason for this—the nervous system controls our of Neurons 393 perception and experience of the world. In addition, it directs voluntary movement, and 11.4 Neuronal Synapses 406 is the seat of our consciousness, personality, and learning and memory. Along with the 11.5 Neurotransmitters 413 endocrine system, the nervous system regulates many aspects of homeostasis, including 11.6 Functional Groups respiratory rate, blood pressure, body temperature, the sleep/wake cycle, and blood pH. of Neurons 417 In this chapter we introduce the multitasking nervous system and its basic functions and divisions. We then examine the structure and physiology of the main tissue of the nervous system: nervous tissue. As you read, notice that many of the same principles you discovered in the muscle tissue chapter (see Chapter 10) apply here as well. MODULE 11.1 Overview of the Nervous System Learning Outcomes 1. Describe the major functions of the nervous system. 2. Describe the structures and basic functions of each organ of the central and peripheral nervous systems. 3. Explain the major differences between the two functional divisions of the peripheral nervous system. -
A Gut-Brain Neural Circuit
Rodger A. Liddle, J Neurol Neurosci 2019, Volume:10 DOI: 10.21767/2171-6625-C1-019 Rodger A. Liddle Duke University 5th EuroSciCon Conference on Neurology & Neurological Disorders March 04-05, 2019 | Amsterdam, Netherlands A gut-brain neural circuit Biography Rodger Liddle is Professor of Medicine at the Duke hallmark of Parkinson’s disease (PD) is the accumulation of intracellular University. Our laboratory has had a longstanding interest in two types of EECs that regulate satiety aggregates containing the neuronal protein α-synuclein known as A and signal the brain to stop eating. Cholecystokinin Lewy bodies. Clinical and pathological evidence indicates that abnormal (CCK) is secreted from EECs of the upper small α-synuclein is found in enteric nerves before it appears in the brain. It has intestine and regulates the ingestion and digestion been proposed that misfolded α-synuclein can form fibrils that may spread of food through effects on the stomach, gallbladder, from one neuron to another in a prion-like fashion eventually reaching the pancreas and brain. Peptide YY (PYY) is secreted from EECs of the small intestine and colon and brain. However, it is not known whether misfolding of α-synuclein in enteric regulates satiety. We recently demonstrated that nerves is the initiating event in the development of PD or whether other CCK and PYY cells not only secrete hormones but cells may be involved. Enteroendocrine cells (EECs) are sensory cells of are directly connected to nerves through unique the gastrointestinal tract and reside in the mucosal surface of the gut where cellular processes called ‘neuropods’. -
Sympathetic Tales: Subdivisons of the Autonomic Nervous System and the Impact of Developmental Studies Uwe Ernsberger* and Hermann Rohrer
Ernsberger and Rohrer Neural Development (2018) 13:20 https://doi.org/10.1186/s13064-018-0117-6 REVIEW Open Access Sympathetic tales: subdivisons of the autonomic nervous system and the impact of developmental studies Uwe Ernsberger* and Hermann Rohrer Abstract Remarkable progress in a range of biomedical disciplines has promoted the understanding of the cellular components of the autonomic nervous system and their differentiation during development to a critical level. Characterization of the gene expression fingerprints of individual neurons and identification of the key regulators of autonomic neuron differentiation enables us to comprehend the development of different sets of autonomic neurons. Their individual functional properties emerge as a consequence of differential gene expression initiated by the action of specific developmental regulators. In this review, we delineate the anatomical and physiological observations that led to the subdivision into sympathetic and parasympathetic domains and analyze how the recent molecular insights melt into and challenge the classical description of the autonomic nervous system. Keywords: Sympathetic, Parasympathetic, Transcription factor, Preganglionic, Postganglionic, Autonomic nervous system, Sacral, Pelvic ganglion, Heart Background interplay of nervous and hormonal control in particular The “great sympathetic”... “was the principal means of mediated by the sympathetic nervous system and the ad- bringing about the sympathies of the body”. With these renal gland in adapting the internal -
Mechanism for Neurotransmitter-Receptor Matching
Mechanism for neurotransmitter-receptor matching Dena R. Hammond-Weinbergera,1,2, Yunxin Wanga, Alex Glavis-Blooma, and Nicholas C. Spitzera,b,1 aNeurobiology Section, Division of Biological Sciences, University of California San Diego, La Jolla, CA 92093-0357; and bCenter for Neural Circuits and Behavior, Kavli Institute for Brain and Mind, University of California San Diego, La Jolla, CA 92161 Contributed by Nicholas C. Spitzer, January 6, 2020 (sent for review September 25, 2019; reviewed by Laura N. Borodinsky and Joshua R. Sanes) Synaptic communication requires the expression of functional neurons lead to the appearance of functional neuromuscular postsynaptic receptors that match the presynaptically released junctions expressing GluR1 and GluR2 (alias GluA1 and GluA2) neurotransmitter. The ability of neurons to switch the transmitter subunits, which are blocked by the AMPA receptor antagonist they release is increasingly well documented, and these switches GYKI 52466 (16, 17). In the central nervous system, the natural require changes in the postsynaptic receptor population. Al- developmental transmitter switch from GABA to glycine in the though the activity-dependent molecular mechanism of neuro- auditory nervous system is accompanied by alterations in the transmitter switching is increasingly well understood, the basis properties of postsynaptic receptors (18, 19). Changes in illumi- of specification of postsynaptic neurotransmitter receptors match- nation during development or in photoperiod in the adult lead to ing the newly expressed transmitter is unknown. Using a func- changes in the numbers of neurons expressing dopamine in the tional assay, we show that sustained application of glutamate to embryonic vertebrate skeletal muscle cells cultured before hypothalamus that are accompanied by corresponding up- or innervation is necessary and sufficient to up-regulate ionotropic down-regulation of dopamine receptor expression in postsynaptic glutamate receptors from a pool of different receptors expressed neurons (5, 7). -
Observation and Genetic Foundations of the Brain’S Clarity Achieving “Ambiguity Relief “ Processes
Theranostics of Brain, Spine & Neural Disorders ISSN: 2641-8096 Review Article Theranostics Brain,Spine & Neural Disord Volume 2 Issue 3 - October 2017 DOI: 10.19080/JOJS.2019.02.555586 Copyright © All rights are reserved by Carmazzi AF Observation and Genetic Foundations of the Brain’s Clarity Achieving “Ambiguity Relief “ Processes Carmazzi Arthur F* DCI, Indonesia Submission: September 09, 2017; Published: October 12, 2017 *Corresponding author: Carmazzi AF, Avalon, #1 Jln. Carmazzi, Br Mawang Kelod, Ubud Bali, Indonesia 80571, Tel: Email: Abstract This paper focuses on the brain’s clarity seeking process for the purpose of improving communication and an understanding of how to maximize synergy and effectiveness in teams, team leadership, and organizations. This clarity achieving neurons activity has been termed neurotransmitters working on three different parts of the brain. With observation of the genetic foundations of some brain disorders, it was discoveredas the “Ambiguity that there Relief” were process. parallels Ambiguity in the brain’s Relief clarity has fourprocesses. quantifiable The hypothesis clarity seeking was that processes the Ambiguity each with Relief a predictable process was set directly of genes related and to the sequence of taking action on ideas, communication, projects or even buying decisions and this was further tested. Beginning with the research from Herrmann N [1]. Brain Dominance by Ned Herrmann, Human Dynamics work by Segal S & Horn D [2] and Temperament and while each had different reasoning and outcome there was one factor that appeared to be consistent through their research a process by which Character work by Cloninger CR [3] it was found that each had different conclusions in Personality Profiling. -
Aberrant Ipsc-Derived Human Astrocytes in Alzheimer's Disease
Citation: Cell Death and Disease (2017) 8, e2696; doi:10.1038/cddis.2017.89 OPEN Official journal of the Cell Death Differentiation Association www.nature.com/cddis Aberrant iPSC-derived human astrocytes in Alzheimer's disease VC Jones1, R Atkinson-Dell2, A Verkhratsky2,3 and L Mohamet*,2 The pathological potential of human astroglia in Alzheimer's disease (AD) was analysed in vitro using induced pluripotent stem cell (iPSC) technology. Here, we report development of a human iPSC-derived astrocyte model created from healthy individuals and patients with either early-onset familial AD (FAD) or the late-onset sporadic form of AD (SAD). Our chemically defined and highly efficient model provides 495% homogeneous populations of human astrocytes within 30 days of differentiation from cortical neural progenitor cells (NPCs). All astrocytes expressed functional markers including glial fibrillary acidic protein (GFAP), excitatory amino acid transporter-1 (EAAT1), S100B and glutamine synthetase (GS) comparable to that of adult astrocytes in vivo. However, induced astrocytes derived from both SAD and FAD patients exhibit a pronounced pathological phenotype, with a significantly less complex morphological appearance, overall atrophic profiles and abnormal localisation of key functional astroglial markers. Furthermore, NPCs derived from identical patients did not show any differences, therefore, validating that remodelled astroglia are not as a result of defective neural intermediates. This work not only presents a novel model to study the mechanisms of human astrocytes in vitro, but also provides an ideal platform for further interrogation of early astroglial cell autonomous events in AD and the possibility of identification of novel therapeutic targets for the treatment of AD.