Brain regional gene expression network analysis identifies unique interactions between chronic ethanol exposure and consumption
Progressive increases in ethanol consumption is a hallmark of alcohol use disorder (AUD). Persistent changes in brain gene expression are hypothesized to underlie the altered neural signaling producing abusive consumption in AUD. To identify brain regional gene expression networks contributing to pr...
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description | Progressive increases in ethanol consumption is a hallmark of alcohol use disorder (AUD). Persistent changes in brain gene expression are hypothesized to underlie the altered neural signaling producing abusive consumption in AUD. To identify brain regional gene expression networks contributing to progressive ethanol consumption, we performed microarray and scale-free network analysis of expression responses in a C57BL/6J mouse model utilizing chronic intermittent ethanol by vapor chamber (CIE) in combination with limited access oral ethanol consumption. This model has previously been shown to produce long-lasting increased ethanol consumption, particularly when combining oral ethanol access with repeated cycles of intermittent vapor exposure. The interaction of CIE and oral consumption was studied by expression profiling and network analysis in medial prefrontal cortex, nucleus accumbens, hippocampus, bed nucleus of the stria terminalis, and central nucleus of the amygdala. Brain region expression networks were analyzed for ethanol-responsive gene expression, correlation with ethanol consumption and functional content using extensive bioinformatics studies. In all brain-regions studied the largest number of changes in gene expression were seen when comparing ethanol naïve mice to those exposed to CIE and drinking. In the prefrontal cortex, however, unique patterns of gene expression were seen compared to other brain-regions. Network analysis identified modules of co-expressed genes in all brain regions. The prefrontal cortex and nucleus accumbens showed the greatest number of modules with significant correlation to drinking behavior. Across brain-regions, however, many modules with strong correlations to drinking, both baseline intake and amount consumed after CIE, showed functional enrichment for synaptic transmission and synaptic plasticity. |
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Persistent changes in brain gene expression are hypothesized to underlie the altered neural signaling producing abusive consumption in AUD. To identify brain regional gene expression networks contributing to progressive ethanol consumption, we performed microarray and scale-free network analysis of expression responses in a C57BL/6J mouse model utilizing chronic intermittent ethanol by vapor chamber (CIE) in combination with limited access oral ethanol consumption. This model has previously been shown to produce long-lasting increased ethanol consumption, particularly when combining oral ethanol access with repeated cycles of intermittent vapor exposure. The interaction of CIE and oral consumption was studied by expression profiling and network analysis in medial prefrontal cortex, nucleus accumbens, hippocampus, bed nucleus of the stria terminalis, and central nucleus of the amygdala. Brain region expression networks were analyzed for ethanol-responsive gene expression, correlation with ethanol consumption and functional content using extensive bioinformatics studies. In all brain-regions studied the largest number of changes in gene expression were seen when comparing ethanol naïve mice to those exposed to CIE and drinking. In the prefrontal cortex, however, unique patterns of gene expression were seen compared to other brain-regions. Network analysis identified modules of co-expressed genes in all brain regions. The prefrontal cortex and nucleus accumbens showed the greatest number of modules with significant correlation to drinking behavior. Across brain-regions, however, many modules with strong correlations to drinking, both baseline intake and amount consumed after CIE, showed functional enrichment for synaptic transmission and synaptic plasticity.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0233319</identifier><identifier>PMID: 32469986</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Alcohol ; Alcohol Drinking - adverse effects ; Alcohol Drinking - genetics ; Alcohol use ; Alcohol-related disorders ; Alcoholism - etiology ; Alcoholism - genetics ; Alcoholism - pathology ; Amygdala ; Animals ; Behavioral sciences ; Bioinformatics ; Biology and Life Sciences ; Brain ; Brain - drug effects ; Brain - metabolism ; Brain - pathology ; Brain research ; Care and treatment ; Computational Biology ; Computer and Information Sciences ; Consumption ; Correlation ; Correlation analysis ; Data analysis ; Design ; Development and progression ; DNA microarrays ; Drinking ; Drinking behavior ; Ethanol ; Exposure ; Functional plasticity ; Gene expression ; Gene Expression Profiling ; Gene Regulatory Networks - drug effects ; Genetic aspects ; Health aspects ; Laboratory animals ; Male ; Medicine and Health Sciences ; Mice ; Mice, Inbred C57BL ; Modules ; Network analysis ; Nucleus accumbens ; Physical Sciences ; Prefrontal cortex ; Regional analysis ; Research and Analysis Methods ; Stria terminalis ; Synaptic plasticity ; Synaptic Transmission ; Transcriptome - drug effects ; Vapors</subject><ispartof>PloS one, 2020-05, Vol.15 (5), p.e0233319</ispartof><rights>COPYRIGHT 2020 Public Library of Science</rights><rights>This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication: https://creativecommons.org/publicdomain/zero/1.0/ (the “License”). 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Persistent changes in brain gene expression are hypothesized to underlie the altered neural signaling producing abusive consumption in AUD. To identify brain regional gene expression networks contributing to progressive ethanol consumption, we performed microarray and scale-free network analysis of expression responses in a C57BL/6J mouse model utilizing chronic intermittent ethanol by vapor chamber (CIE) in combination with limited access oral ethanol consumption. This model has previously been shown to produce long-lasting increased ethanol consumption, particularly when combining oral ethanol access with repeated cycles of intermittent vapor exposure. The interaction of CIE and oral consumption was studied by expression profiling and network analysis in medial prefrontal cortex, nucleus accumbens, hippocampus, bed nucleus of the stria terminalis, and central nucleus of the amygdala. Brain region expression networks were analyzed for ethanol-responsive gene expression, correlation with ethanol consumption and functional content using extensive bioinformatics studies. In all brain-regions studied the largest number of changes in gene expression were seen when comparing ethanol naïve mice to those exposed to CIE and drinking. In the prefrontal cortex, however, unique patterns of gene expression were seen compared to other brain-regions. Network analysis identified modules of co-expressed genes in all brain regions. The prefrontal cortex and nucleus accumbens showed the greatest number of modules with significant correlation to drinking behavior. Across brain-regions, however, many modules with strong correlations to drinking, both baseline intake and amount consumed after CIE, showed functional enrichment for synaptic transmission and synaptic plasticity.</description><subject>Alcohol</subject><subject>Alcohol Drinking - adverse effects</subject><subject>Alcohol Drinking - genetics</subject><subject>Alcohol use</subject><subject>Alcohol-related disorders</subject><subject>Alcoholism - etiology</subject><subject>Alcoholism - genetics</subject><subject>Alcoholism - pathology</subject><subject>Amygdala</subject><subject>Animals</subject><subject>Behavioral sciences</subject><subject>Bioinformatics</subject><subject>Biology and Life Sciences</subject><subject>Brain</subject><subject>Brain - drug effects</subject><subject>Brain - metabolism</subject><subject>Brain - pathology</subject><subject>Brain research</subject><subject>Care and treatment</subject><subject>Computational Biology</subject><subject>Computer and Information Sciences</subject><subject>Consumption</subject><subject>Correlation</subject><subject>Correlation analysis</subject><subject>Data analysis</subject><subject>Design</subject><subject>Development and progression</subject><subject>DNA microarrays</subject><subject>Drinking</subject><subject>Drinking behavior</subject><subject>Ethanol</subject><subject>Exposure</subject><subject>Functional plasticity</subject><subject>Gene expression</subject><subject>Gene Expression Profiling</subject><subject>Gene Regulatory Networks - drug effects</subject><subject>Genetic aspects</subject><subject>Health aspects</subject><subject>Laboratory animals</subject><subject>Male</subject><subject>Medicine and Health Sciences</subject><subject>Mice</subject><subject>Mice, Inbred C57BL</subject><subject>Modules</subject><subject>Network analysis</subject><subject>Nucleus accumbens</subject><subject>Physical Sciences</subject><subject>Prefrontal cortex</subject><subject>Regional analysis</subject><subject>Research and Analysis Methods</subject><subject>Stria terminalis</subject><subject>Synaptic plasticity</subject><subject>Synaptic Transmission</subject><subject>Transcriptome - drug effects</subject><subject>Vapors</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNk0uP0zAUhSMEYobCP0BgCQnBosWP1Ik3SMOIR6WRRuK1tRznOnVJ7WInMLPir-O0mVGDZoG8iHX9nWP7ODfLnhK8IKwgbza-D061i513sMCUMUbEveyUCEbnnGJ2_2h-kj2KcYPxkpWcP8xOGM25ECU_zf68C8o6FKCxPrmhBhwguNoFiDFVkIPutw8_kEqL19FGZGtwnTUWIuqd_dkDsq6DoHSX8IiqxAM4pNfBO6sRdGvlfDtY-tgHSEY10onst7tB8Th7YFQb4cn4nWXfPrz_ev5pfnH5cXV-djHXXNBuTjAzlJKSYzACiMgxViAwQElYWQrGeFFXlEOdILZknGtREWJYAnIiiprNsucH313roxyzi5LmuCg4FVgkYnUgaq82chfsVoVr6ZWV-4IPjVShs7oFWTNVGqJIaeoqV4xWlQKNFTdcVcKkyix7O-7WV1uodYosqHZiOl1xdi0b_0sWdCkKzpPBq9Eg-JRx7OTWRg1tqxz4fn_ukuJ8SYdzv_gHvft2I9WodAHrjE_76sFUnnFa5CzneZGoxR1UGjVsbXo1MDbVJ4LXE0FiOrjqGtXHKFdfPv8_e_l9yr48Yteg2m4dfdvvf7IpmB9AHXyMAcxtyATLoU9u0pBDn8ixT5Ls2fED3YpuGoP9BY4IENU</recordid><startdate>20200529</startdate><enddate>20200529</enddate><creator>Smith, Maren L</creator><creator>Lopez, Marcelo F</creator><creator>Wolen, Aaron R</creator><creator>Becker, Howard C</creator><creator>Miles, Michael F</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-2542-2202</orcidid><orcidid>https://orcid.org/0000-0002-1532-584X</orcidid></search><sort><creationdate>20200529</creationdate><title>Brain regional gene expression network analysis identifies unique interactions between chronic ethanol exposure and consumption</title><author>Smith, Maren L ; Lopez, Marcelo F ; Wolen, Aaron R ; Becker, Howard C ; Miles, Michael F</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-103f221860ef9e19400ae90ee8138893367db26ed22135366c9b11f3ee84197d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Alcohol</topic><topic>Alcohol Drinking - adverse effects</topic><topic>Alcohol Drinking - genetics</topic><topic>Alcohol use</topic><topic>Alcohol-related disorders</topic><topic>Alcoholism - etiology</topic><topic>Alcoholism - genetics</topic><topic>Alcoholism - pathology</topic><topic>Amygdala</topic><topic>Animals</topic><topic>Behavioral sciences</topic><topic>Bioinformatics</topic><topic>Biology and Life Sciences</topic><topic>Brain</topic><topic>Brain - drug effects</topic><topic>Brain - metabolism</topic><topic>Brain - pathology</topic><topic>Brain research</topic><topic>Care and treatment</topic><topic>Computational Biology</topic><topic>Computer and Information Sciences</topic><topic>Consumption</topic><topic>Correlation</topic><topic>Correlation analysis</topic><topic>Data analysis</topic><topic>Design</topic><topic>Development and progression</topic><topic>DNA microarrays</topic><topic>Drinking</topic><topic>Drinking behavior</topic><topic>Ethanol</topic><topic>Exposure</topic><topic>Functional plasticity</topic><topic>Gene expression</topic><topic>Gene Expression Profiling</topic><topic>Gene Regulatory Networks - drug effects</topic><topic>Genetic aspects</topic><topic>Health aspects</topic><topic>Laboratory animals</topic><topic>Male</topic><topic>Medicine and Health Sciences</topic><topic>Mice</topic><topic>Mice, Inbred C57BL</topic><topic>Modules</topic><topic>Network analysis</topic><topic>Nucleus accumbens</topic><topic>Physical Sciences</topic><topic>Prefrontal cortex</topic><topic>Regional analysis</topic><topic>Research and Analysis Methods</topic><topic>Stria terminalis</topic><topic>Synaptic plasticity</topic><topic>Synaptic Transmission</topic><topic>Transcriptome - drug effects</topic><topic>Vapors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Smith, Maren L</creatorcontrib><creatorcontrib>Lopez, Marcelo F</creatorcontrib><creatorcontrib>Wolen, Aaron R</creatorcontrib><creatorcontrib>Becker, Howard C</creatorcontrib><creatorcontrib>Miles, Michael F</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - 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Persistent changes in brain gene expression are hypothesized to underlie the altered neural signaling producing abusive consumption in AUD. To identify brain regional gene expression networks contributing to progressive ethanol consumption, we performed microarray and scale-free network analysis of expression responses in a C57BL/6J mouse model utilizing chronic intermittent ethanol by vapor chamber (CIE) in combination with limited access oral ethanol consumption. This model has previously been shown to produce long-lasting increased ethanol consumption, particularly when combining oral ethanol access with repeated cycles of intermittent vapor exposure. The interaction of CIE and oral consumption was studied by expression profiling and network analysis in medial prefrontal cortex, nucleus accumbens, hippocampus, bed nucleus of the stria terminalis, and central nucleus of the amygdala. Brain region expression networks were analyzed for ethanol-responsive gene expression, correlation with ethanol consumption and functional content using extensive bioinformatics studies. In all brain-regions studied the largest number of changes in gene expression were seen when comparing ethanol naïve mice to those exposed to CIE and drinking. In the prefrontal cortex, however, unique patterns of gene expression were seen compared to other brain-regions. Network analysis identified modules of co-expressed genes in all brain regions. The prefrontal cortex and nucleus accumbens showed the greatest number of modules with significant correlation to drinking behavior. Across brain-regions, however, many modules with strong correlations to drinking, both baseline intake and amount consumed after CIE, showed functional enrichment for synaptic transmission and synaptic plasticity.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>32469986</pmid><doi>10.1371/journal.pone.0233319</doi><tpages>e0233319</tpages><orcidid>https://orcid.org/0000-0003-2542-2202</orcidid><orcidid>https://orcid.org/0000-0002-1532-584X</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Alcohol Alcohol Drinking - adverse effects Alcohol Drinking - genetics Alcohol use Alcohol-related disorders Alcoholism - etiology Alcoholism - genetics Alcoholism - pathology Amygdala Animals Behavioral sciences Bioinformatics Biology and Life Sciences Brain Brain - drug effects Brain - metabolism Brain - pathology Brain research Care and treatment Computational Biology Computer and Information Sciences Consumption Correlation Correlation analysis Data analysis Design Development and progression DNA microarrays Drinking Drinking behavior Ethanol Exposure Functional plasticity Gene expression Gene Expression Profiling Gene Regulatory Networks - drug effects Genetic aspects Health aspects Laboratory animals Male Medicine and Health Sciences Mice Mice, Inbred C57BL Modules Network analysis Nucleus accumbens Physical Sciences Prefrontal cortex Regional analysis Research and Analysis Methods Stria terminalis Synaptic plasticity Synaptic Transmission Transcriptome - drug effects Vapors |
title | Brain regional gene expression network analysis identifies unique interactions between chronic ethanol exposure and consumption |
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