Single Cell Scale Neuronal and Glial Gene Expression and Putative Cell Phenotypes and Networks in the Nucleus Tractus Solitarius in an Alcohol Withdrawal Time Series

Alcohol withdrawal syndrome (AWS) is characterized by neuronal hyperexcitability, autonomic dysregulation, and severe negative emotion. The nucleus tractus solitarius (NTS) likely plays a prominent role in the neurological processes underlying these symptoms as it is the main viscerosensory nucleus...

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Main Authors: Sean J. O’Sullivan, Damani McIntosh-Clarke, James Park, Rajanikanth Vadigepalli, James S. Schwaber
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-11-01
Series:Frontiers in Systems Neuroscience
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fnsys.2021.739790/full
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author Sean J. O’Sullivan
Sean J. O’Sullivan
Damani McIntosh-Clarke
Damani McIntosh-Clarke
James Park
James Park
James Park
Rajanikanth Vadigepalli
Rajanikanth Vadigepalli
James S. Schwaber
author_facet Sean J. O’Sullivan
Sean J. O’Sullivan
Damani McIntosh-Clarke
Damani McIntosh-Clarke
James Park
James Park
James Park
Rajanikanth Vadigepalli
Rajanikanth Vadigepalli
James S. Schwaber
author_sort Sean J. O’Sullivan
collection DOAJ
description Alcohol withdrawal syndrome (AWS) is characterized by neuronal hyperexcitability, autonomic dysregulation, and severe negative emotion. The nucleus tractus solitarius (NTS) likely plays a prominent role in the neurological processes underlying these symptoms as it is the main viscerosensory nucleus in the brain. The NTS receives visceral interoceptive inputs, influences autonomic outputs, and has strong connections to the limbic system and hypothalamic-pituitary-adrenal axis to maintain homeostasis. Our prior analysis of single neuronal gene expression data from the NTS shows that neurons exist in heterogeneous transcriptional states that form distinct functional subphenotypes. Our working model conjectures that the allostasis secondary to alcohol dependence causes peripheral and central biological network decompensation in acute abstinence resulting in neurovisceral feedback to the NTS that substantially contributes to the observed AWS. We collected single noradrenergic and glucagon-like peptide-1 (GLP-1) neurons and microglia from rat NTS and measured a subset of their transcriptome as pooled samples in an alcohol withdrawal time series. Inflammatory subphenotypes predominate at certain time points, and GLP-1 subphenotypes demonstrated hyperexcitability post-withdrawal. We hypothesize such inflammatory and anxiogenic signaling contributes to alcohol dependence via negative reinforcement. Targets to mitigate such dysregulation and treat dependence can be identified from this dataset.
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spelling doaj.art-ee4e039aba274d2a8f26a523ce0f09d52022-12-21T19:23:21ZengFrontiers Media S.A.Frontiers in Systems Neuroscience1662-51372021-11-011510.3389/fnsys.2021.739790739790Single Cell Scale Neuronal and Glial Gene Expression and Putative Cell Phenotypes and Networks in the Nucleus Tractus Solitarius in an Alcohol Withdrawal Time SeriesSean J. O’Sullivan0Sean J. O’Sullivan1Damani McIntosh-Clarke2Damani McIntosh-Clarke3James Park4James Park5James Park6Rajanikanth Vadigepalli7Rajanikanth Vadigepalli8James S. Schwaber9Department of Pathology, Anatomy, and Cell Biology, Daniel Baugh Institute for Functional Genomics and Computational Biology, Thomas Jefferson University, Philadelphia, PA, United StatesBrain Stimulation Lab, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, United StatesDepartment of Pathology, Anatomy, and Cell Biology, Daniel Baugh Institute for Functional Genomics and Computational Biology, Thomas Jefferson University, Philadelphia, PA, United StatesDepartment of Emergency Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United StatesDepartment of Pathology, Anatomy, and Cell Biology, Daniel Baugh Institute for Functional Genomics and Computational Biology, Thomas Jefferson University, Philadelphia, PA, United StatesDepartment of Chemical Engineering, University of Delaware, Newark, DE, United StatesInstitute for Systems Biology, Seattle, WA, United StatesDepartment of Pathology, Anatomy, and Cell Biology, Daniel Baugh Institute for Functional Genomics and Computational Biology, Thomas Jefferson University, Philadelphia, PA, United StatesDepartment of Chemical Engineering, University of Delaware, Newark, DE, United StatesDepartment of Pathology, Anatomy, and Cell Biology, Daniel Baugh Institute for Functional Genomics and Computational Biology, Thomas Jefferson University, Philadelphia, PA, United StatesAlcohol withdrawal syndrome (AWS) is characterized by neuronal hyperexcitability, autonomic dysregulation, and severe negative emotion. The nucleus tractus solitarius (NTS) likely plays a prominent role in the neurological processes underlying these symptoms as it is the main viscerosensory nucleus in the brain. The NTS receives visceral interoceptive inputs, influences autonomic outputs, and has strong connections to the limbic system and hypothalamic-pituitary-adrenal axis to maintain homeostasis. Our prior analysis of single neuronal gene expression data from the NTS shows that neurons exist in heterogeneous transcriptional states that form distinct functional subphenotypes. Our working model conjectures that the allostasis secondary to alcohol dependence causes peripheral and central biological network decompensation in acute abstinence resulting in neurovisceral feedback to the NTS that substantially contributes to the observed AWS. We collected single noradrenergic and glucagon-like peptide-1 (GLP-1) neurons and microglia from rat NTS and measured a subset of their transcriptome as pooled samples in an alcohol withdrawal time series. Inflammatory subphenotypes predominate at certain time points, and GLP-1 subphenotypes demonstrated hyperexcitability post-withdrawal. We hypothesize such inflammatory and anxiogenic signaling contributes to alcohol dependence via negative reinforcement. Targets to mitigate such dysregulation and treat dependence can be identified from this dataset.https://www.frontiersin.org/articles/10.3389/fnsys.2021.739790/fullalcohol withdrawalneuroinflammationRT-PCRsubphenotypessingle-cell heterogeneitymicroglia
spellingShingle Sean J. O’Sullivan
Sean J. O’Sullivan
Damani McIntosh-Clarke
Damani McIntosh-Clarke
James Park
James Park
James Park
Rajanikanth Vadigepalli
Rajanikanth Vadigepalli
James S. Schwaber
Single Cell Scale Neuronal and Glial Gene Expression and Putative Cell Phenotypes and Networks in the Nucleus Tractus Solitarius in an Alcohol Withdrawal Time Series
Frontiers in Systems Neuroscience
alcohol withdrawal
neuroinflammation
RT-PCR
subphenotypes
single-cell heterogeneity
microglia
title Single Cell Scale Neuronal and Glial Gene Expression and Putative Cell Phenotypes and Networks in the Nucleus Tractus Solitarius in an Alcohol Withdrawal Time Series
title_full Single Cell Scale Neuronal and Glial Gene Expression and Putative Cell Phenotypes and Networks in the Nucleus Tractus Solitarius in an Alcohol Withdrawal Time Series
title_fullStr Single Cell Scale Neuronal and Glial Gene Expression and Putative Cell Phenotypes and Networks in the Nucleus Tractus Solitarius in an Alcohol Withdrawal Time Series
title_full_unstemmed Single Cell Scale Neuronal and Glial Gene Expression and Putative Cell Phenotypes and Networks in the Nucleus Tractus Solitarius in an Alcohol Withdrawal Time Series
title_short Single Cell Scale Neuronal and Glial Gene Expression and Putative Cell Phenotypes and Networks in the Nucleus Tractus Solitarius in an Alcohol Withdrawal Time Series
title_sort single cell scale neuronal and glial gene expression and putative cell phenotypes and networks in the nucleus tractus solitarius in an alcohol withdrawal time series
topic alcohol withdrawal
neuroinflammation
RT-PCR
subphenotypes
single-cell heterogeneity
microglia
url https://www.frontiersin.org/articles/10.3389/fnsys.2021.739790/full
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