Key Risk Genes Identified From the Postmortem Brain of Patients With Major Depressive Disorder and Their Potential Clinical Applications

Abstract Background Major depressive disorder (MDD) is a type of emotional dysfunction, and its pathogenesis has not been fully elucidated. Specifically, the key molecules in depression-related brain regions involved in this disease and their contributions to this disease are currently unclear. Meth...

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Veröffentlicht in:The international journal of neuropsychopharmacology 2023-06, Vol.26 (6), p.396-411
Hauptverfasser: Zhuang, Qishuai, Wang, Jingxian, Li, Xiaobing, Zhang, Xiaoning, Wang, Yue
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container_issue 6
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container_title The international journal of neuropsychopharmacology
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creator Zhuang, Qishuai
Wang, Jingxian
Li, Xiaobing
Zhang, Xiaoning
Wang, Yue
description Abstract Background Major depressive disorder (MDD) is a type of emotional dysfunction, and its pathogenesis has not been fully elucidated. Specifically, the key molecules in depression-related brain regions involved in this disease and their contributions to this disease are currently unclear. Methods GSE53987 and GSE54568 were selected from the Gene Expression Omnibus database. The data were standardized to identify the common differentially expressed genes (DEGs) in the cortex of MDD patients in the 2 datasets. The DEGs were subjected to Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analyses. The STRING database was used to build protein–protein interaction networks, and the cytoHubba plugin was used to identify hub genes. Furthermore, we selected another blood transcriptome dataset that included 161 MDD and 169 control samples to explore the changes in the screened hub genes. Mice were subjected to 4 weeks of chronic unpredictable mild stress to establish an animal model of depression, and the expression of these hub genes in tissues of the prefrontal cortex was then detected by quantitative real time polymerase chain reaction (qRT-PCR). We subsequently predicted the possible posttranscriptional regulatory networks and traditional Chinese medicine according to the hub genes using a few online databases. Results The analysis identified 147 upregulated genes and 402 downregulated genes were identified in the cortex of MDD patients compared with that of the controls. Enrichment analyses revealed that DEGs were predominantly enriched in synapse-related cell functions, linoleic acid metabolism, and other pathways. Protein–protein interaction analysis identified 20 hub genes based on the total score. The changes in KDM6B, CUX2, NAAA, PHKB, NFYA, GTF2H1, CRK, CCNG2, ACER3, and SLC4A2 in the peripheral blood of MDD patients were consistent with those in the brain. Furthermore, the prefrontal cortex of mice with depressive-like behaviors showed significantly increased Kdm6b, Aridb1, Scaf11, and Thoc2 expression and decreased Ccng2 expression compared with that of normal mice, which was consistent with the results found for the human brain. Potential therapeutic candidates, such as citron, fructus citri, leaves of Panax Notoginseng, sanchi flower, pseudoginseng, and dan-shen root, were selected via traditional Chinese medicine screening. Conclusions This study identified several novel hub genes in specific brain regions involved in the pathog
doi_str_mv 10.1093/ijnp/pyad024
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Specifically, the key molecules in depression-related brain regions involved in this disease and their contributions to this disease are currently unclear. Methods GSE53987 and GSE54568 were selected from the Gene Expression Omnibus database. The data were standardized to identify the common differentially expressed genes (DEGs) in the cortex of MDD patients in the 2 datasets. The DEGs were subjected to Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analyses. The STRING database was used to build protein–protein interaction networks, and the cytoHubba plugin was used to identify hub genes. Furthermore, we selected another blood transcriptome dataset that included 161 MDD and 169 control samples to explore the changes in the screened hub genes. Mice were subjected to 4 weeks of chronic unpredictable mild stress to establish an animal model of depression, and the expression of these hub genes in tissues of the prefrontal cortex was then detected by quantitative real time polymerase chain reaction (qRT-PCR). We subsequently predicted the possible posttranscriptional regulatory networks and traditional Chinese medicine according to the hub genes using a few online databases. Results The analysis identified 147 upregulated genes and 402 downregulated genes were identified in the cortex of MDD patients compared with that of the controls. Enrichment analyses revealed that DEGs were predominantly enriched in synapse-related cell functions, linoleic acid metabolism, and other pathways. Protein–protein interaction analysis identified 20 hub genes based on the total score. The changes in KDM6B, CUX2, NAAA, PHKB, NFYA, GTF2H1, CRK, CCNG2, ACER3, and SLC4A2 in the peripheral blood of MDD patients were consistent with those in the brain. Furthermore, the prefrontal cortex of mice with depressive-like behaviors showed significantly increased Kdm6b, Aridb1, Scaf11, and Thoc2 expression and decreased Ccng2 expression compared with that of normal mice, which was consistent with the results found for the human brain. Potential therapeutic candidates, such as citron, fructus citri, leaves of Panax Notoginseng, sanchi flower, pseudoginseng, and dan-shen root, were selected via traditional Chinese medicine screening. Conclusions This study identified several novel hub genes in specific brain regions involved in the pathogenesis of MDD, which may not only deepen our understanding of depression but may also provide new ideas for its diagnosis and treatment.</description><identifier>ISSN: 1461-1457</identifier><identifier>EISSN: 1469-5111</identifier><identifier>DOI: 10.1093/ijnp/pyad024</identifier><identifier>PMID: 37235790</identifier><language>eng</language><publisher>US: Oxford University Press</publisher><subject>Animals ; Brain ; Chloride-Bicarbonate Antiporters - genetics ; Computational Biology - methods ; Depressive Disorder, Major - genetics ; Development and progression ; Editor's Choice ; Gene expression ; Gene Expression Profiling - methods ; Gene Regulatory Networks ; Genetic aspects ; Health aspects ; Humans ; Jumonji Domain-Containing Histone Demethylases - genetics ; Major depressive disorder ; Mice ; Protein Interaction Maps ; Psychiatric research ; Regular s ; Risk factors ; Transcription Factor TFIIH - genetics</subject><ispartof>The international journal of neuropsychopharmacology, 2023-06, Vol.26 (6), p.396-411</ispartof><rights>The Author(s) 2023. Published by Oxford University Press on behalf of CINP. 2023</rights><rights>The Author(s) 2023. Published by Oxford University Press on behalf of CINP.</rights><rights>COPYRIGHT 2023 Oxford University Press</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c441t-c2f7eebaeb05b7c48d9ad623f65925b5486320fc13f417632108cb43c23f311d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10289144/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10289144/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,1604,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37235790$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhuang, Qishuai</creatorcontrib><creatorcontrib>Wang, Jingxian</creatorcontrib><creatorcontrib>Li, Xiaobing</creatorcontrib><creatorcontrib>Zhang, Xiaoning</creatorcontrib><creatorcontrib>Wang, Yue</creatorcontrib><title>Key Risk Genes Identified From the Postmortem Brain of Patients With Major Depressive Disorder and Their Potential Clinical Applications</title><title>The international journal of neuropsychopharmacology</title><addtitle>Int J Neuropsychopharmacol</addtitle><description>Abstract Background Major depressive disorder (MDD) is a type of emotional dysfunction, and its pathogenesis has not been fully elucidated. Specifically, the key molecules in depression-related brain regions involved in this disease and their contributions to this disease are currently unclear. Methods GSE53987 and GSE54568 were selected from the Gene Expression Omnibus database. The data were standardized to identify the common differentially expressed genes (DEGs) in the cortex of MDD patients in the 2 datasets. The DEGs were subjected to Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analyses. The STRING database was used to build protein–protein interaction networks, and the cytoHubba plugin was used to identify hub genes. Furthermore, we selected another blood transcriptome dataset that included 161 MDD and 169 control samples to explore the changes in the screened hub genes. Mice were subjected to 4 weeks of chronic unpredictable mild stress to establish an animal model of depression, and the expression of these hub genes in tissues of the prefrontal cortex was then detected by quantitative real time polymerase chain reaction (qRT-PCR). We subsequently predicted the possible posttranscriptional regulatory networks and traditional Chinese medicine according to the hub genes using a few online databases. Results The analysis identified 147 upregulated genes and 402 downregulated genes were identified in the cortex of MDD patients compared with that of the controls. Enrichment analyses revealed that DEGs were predominantly enriched in synapse-related cell functions, linoleic acid metabolism, and other pathways. Protein–protein interaction analysis identified 20 hub genes based on the total score. The changes in KDM6B, CUX2, NAAA, PHKB, NFYA, GTF2H1, CRK, CCNG2, ACER3, and SLC4A2 in the peripheral blood of MDD patients were consistent with those in the brain. Furthermore, the prefrontal cortex of mice with depressive-like behaviors showed significantly increased Kdm6b, Aridb1, Scaf11, and Thoc2 expression and decreased Ccng2 expression compared with that of normal mice, which was consistent with the results found for the human brain. Potential therapeutic candidates, such as citron, fructus citri, leaves of Panax Notoginseng, sanchi flower, pseudoginseng, and dan-shen root, were selected via traditional Chinese medicine screening. Conclusions This study identified several novel hub genes in specific brain regions involved in the pathogenesis of MDD, which may not only deepen our understanding of depression but may also provide new ideas for its diagnosis and treatment.</description><subject>Animals</subject><subject>Brain</subject><subject>Chloride-Bicarbonate Antiporters - genetics</subject><subject>Computational Biology - methods</subject><subject>Depressive Disorder, Major - genetics</subject><subject>Development and progression</subject><subject>Editor's Choice</subject><subject>Gene expression</subject><subject>Gene Expression Profiling - methods</subject><subject>Gene Regulatory Networks</subject><subject>Genetic aspects</subject><subject>Health aspects</subject><subject>Humans</subject><subject>Jumonji Domain-Containing Histone Demethylases - genetics</subject><subject>Major depressive disorder</subject><subject>Mice</subject><subject>Protein Interaction Maps</subject><subject>Psychiatric research</subject><subject>Regular s</subject><subject>Risk factors</subject><subject>Transcription Factor TFIIH - genetics</subject><issn>1461-1457</issn><issn>1469-5111</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>TOX</sourceid><sourceid>EIF</sourceid><recordid>eNp9kl9vFCEUxSdGY2v1zWdD4oM-OC0MMH-ezLq1tbHGxtT4SBi4dFlnYAS2yX4DP7aMuzY2MYYHTi6_e3KBUxTPCT4muKMndu2mk2krNa7Yg-KQsLorOSHk4W9NSsJ4c1A8iXGNM8Fp_bg4oE1FedPhw-LnR9iiLzZ-R-fgIKILDS5ZY0Gjs-BHlFaArnxMow8JRvQuSOuQN-hKJpvJiL7ZtEKf5NoHdApTgBjtLaBTG33QEJB0Gl2vwIbskmZrOaDlYJ1VWSymacgiWe_i0-KRkUOEZ_v9qPh69v56-aG8_Hx-sVxclooxkkpVmQagl9Bj3jeKtbqTuq6oqXlX8Z6ztqYVNopQw0iTNcGt6hlVGaGEaHpUvN35Tpt-BK3yTEEOYgp2lGErvLTi_omzK3HjbwXBVdsRxrLD671D8D82EJMYbVQwDNKB30RRtVV-aU75jL7coTdyAGGd8dlSzbhYNLxh-R_qmTr-B5WXhtEq78DYXL_X8GbXoIKPMYC5G59gMYdCzKEQ-1Bk_MXfV76D_6QgA692gN9M_7f6BTijwr8</recordid><startdate>20230623</startdate><enddate>20230623</enddate><creator>Zhuang, Qishuai</creator><creator>Wang, Jingxian</creator><creator>Li, Xiaobing</creator><creator>Zhang, Xiaoning</creator><creator>Wang, Yue</creator><general>Oxford University Press</general><scope>TOX</scope><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>7X8</scope><scope>5PM</scope></search><sort><creationdate>20230623</creationdate><title>Key Risk Genes Identified From the Postmortem Brain of Patients With Major Depressive Disorder and Their Potential Clinical Applications</title><author>Zhuang, Qishuai ; Wang, Jingxian ; Li, Xiaobing ; Zhang, Xiaoning ; Wang, Yue</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c441t-c2f7eebaeb05b7c48d9ad623f65925b5486320fc13f417632108cb43c23f311d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Animals</topic><topic>Brain</topic><topic>Chloride-Bicarbonate Antiporters - genetics</topic><topic>Computational Biology - methods</topic><topic>Depressive Disorder, Major - genetics</topic><topic>Development and progression</topic><topic>Editor's Choice</topic><topic>Gene expression</topic><topic>Gene Expression Profiling - methods</topic><topic>Gene Regulatory Networks</topic><topic>Genetic aspects</topic><topic>Health aspects</topic><topic>Humans</topic><topic>Jumonji Domain-Containing Histone Demethylases - genetics</topic><topic>Major depressive disorder</topic><topic>Mice</topic><topic>Protein Interaction Maps</topic><topic>Psychiatric research</topic><topic>Regular s</topic><topic>Risk factors</topic><topic>Transcription Factor TFIIH - genetics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhuang, Qishuai</creatorcontrib><creatorcontrib>Wang, Jingxian</creatorcontrib><creatorcontrib>Li, Xiaobing</creatorcontrib><creatorcontrib>Zhang, Xiaoning</creatorcontrib><creatorcontrib>Wang, Yue</creatorcontrib><collection>Oxford Journals Open Access Collection</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>The international journal of neuropsychopharmacology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhuang, Qishuai</au><au>Wang, Jingxian</au><au>Li, Xiaobing</au><au>Zhang, Xiaoning</au><au>Wang, Yue</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Key Risk Genes Identified From the Postmortem Brain of Patients With Major Depressive Disorder and Their Potential Clinical Applications</atitle><jtitle>The international journal of neuropsychopharmacology</jtitle><addtitle>Int J Neuropsychopharmacol</addtitle><date>2023-06-23</date><risdate>2023</risdate><volume>26</volume><issue>6</issue><spage>396</spage><epage>411</epage><pages>396-411</pages><issn>1461-1457</issn><eissn>1469-5111</eissn><abstract>Abstract Background Major depressive disorder (MDD) is a type of emotional dysfunction, and its pathogenesis has not been fully elucidated. Specifically, the key molecules in depression-related brain regions involved in this disease and their contributions to this disease are currently unclear. Methods GSE53987 and GSE54568 were selected from the Gene Expression Omnibus database. The data were standardized to identify the common differentially expressed genes (DEGs) in the cortex of MDD patients in the 2 datasets. The DEGs were subjected to Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analyses. The STRING database was used to build protein–protein interaction networks, and the cytoHubba plugin was used to identify hub genes. Furthermore, we selected another blood transcriptome dataset that included 161 MDD and 169 control samples to explore the changes in the screened hub genes. Mice were subjected to 4 weeks of chronic unpredictable mild stress to establish an animal model of depression, and the expression of these hub genes in tissues of the prefrontal cortex was then detected by quantitative real time polymerase chain reaction (qRT-PCR). We subsequently predicted the possible posttranscriptional regulatory networks and traditional Chinese medicine according to the hub genes using a few online databases. Results The analysis identified 147 upregulated genes and 402 downregulated genes were identified in the cortex of MDD patients compared with that of the controls. Enrichment analyses revealed that DEGs were predominantly enriched in synapse-related cell functions, linoleic acid metabolism, and other pathways. Protein–protein interaction analysis identified 20 hub genes based on the total score. The changes in KDM6B, CUX2, NAAA, PHKB, NFYA, GTF2H1, CRK, CCNG2, ACER3, and SLC4A2 in the peripheral blood of MDD patients were consistent with those in the brain. Furthermore, the prefrontal cortex of mice with depressive-like behaviors showed significantly increased Kdm6b, Aridb1, Scaf11, and Thoc2 expression and decreased Ccng2 expression compared with that of normal mice, which was consistent with the results found for the human brain. Potential therapeutic candidates, such as citron, fructus citri, leaves of Panax Notoginseng, sanchi flower, pseudoginseng, and dan-shen root, were selected via traditional Chinese medicine screening. Conclusions This study identified several novel hub genes in specific brain regions involved in the pathogenesis of MDD, which may not only deepen our understanding of depression but may also provide new ideas for its diagnosis and treatment.</abstract><cop>US</cop><pub>Oxford University Press</pub><pmid>37235790</pmid><doi>10.1093/ijnp/pyad024</doi><tpages>16</tpages><oa>free_for_read</oa></addata></record>
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subjects Animals
Brain
Chloride-Bicarbonate Antiporters - genetics
Computational Biology - methods
Depressive Disorder, Major - genetics
Development and progression
Editor's Choice
Gene expression
Gene Expression Profiling - methods
Gene Regulatory Networks
Genetic aspects
Health aspects
Humans
Jumonji Domain-Containing Histone Demethylases - genetics
Major depressive disorder
Mice
Protein Interaction Maps
Psychiatric research
Regular s
Risk factors
Transcription Factor TFIIH - genetics
title Key Risk Genes Identified From the Postmortem Brain of Patients With Major Depressive Disorder and Their Potential Clinical Applications
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