Identification of Two CDK5R1-Related Subtypes and Characterization of Immune Infiltrates in Alzheimer’s Disease Based on an Integrated Bioinformatics Analysis

Background. Alzheimer’s disease (AD) is a neurodegenerative disorder and the major cause of senile dementia. The Reelin pathway has been involved in both learning and AD pathogenesis. However, the specific Reelin-related gene signature during the pathological process remains unknown. Methods. Reelin...

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Veröffentlicht in:Computational and mathematical methods in medicine 2022, Vol.2022, p.6766460-16
Hauptverfasser: Shao, Xu, Yang, Yanxian, Chen, Jieyun, Zhao, Runping, Xu, Lei, Guo, Xilong, Feng, Yu, Qin, Lina
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container_title Computational and mathematical methods in medicine
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creator Shao, Xu
Yang, Yanxian
Chen, Jieyun
Zhao, Runping
Xu, Lei
Guo, Xilong
Feng, Yu
Qin, Lina
description Background. Alzheimer’s disease (AD) is a neurodegenerative disorder and the major cause of senile dementia. The Reelin pathway has been involved in both learning and AD pathogenesis. However, the specific Reelin-related gene signature during the pathological process remains unknown. Methods. Reelin-related gene (CDK5R1) expression was analyzed using the GEO datasets. The relevant genes of CDK5R1 were identified using differential expression analysis and weighted gene correlation network analysis (WGCNA) based on the GSE43850 dataset. ConsensusClusterPlus analysis was applied to identify subtypes (C1 and C2) of AD. The CIBERSORT algorithm was used to assess the immune cell infiltration between the two AD subtypes. Results. CDK5R1 was downregulated in AD. 244 differentially expressed CDK5R1-related genes (DECRGs) between the two subgroups were mainly enriched in GABAergic synapse, neuroactive ligand-receptor interaction, synapse organization, neurotransmitter transport, etc. Furthermore, the GSVA results indicated that immune-related pathways were significantly enriched in the C1 subgroup. Interestingly, 10 Reelin pathway-related genes (CRK, DAB2IP, LRP8, RELN, STAT5A, CDK5, CDK5R1, DAB1, FYN, and SH3KBP1) were abnormally expressed between the two subgroups. The proportion of T cell gamma delta, monocytes, macrophage M2, and dendritic cells activated decreased from C1 to C2, while the proportion of plasma cells, T cell follicular helper, and NK cells activated increased. Conclusion. Two CDK5R1-related subtypes of AD were identified, helping us to better understand the role of CDK5R1 in the pathological process of AD.
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Alzheimer’s disease (AD) is a neurodegenerative disorder and the major cause of senile dementia. The Reelin pathway has been involved in both learning and AD pathogenesis. However, the specific Reelin-related gene signature during the pathological process remains unknown. Methods. Reelin-related gene (CDK5R1) expression was analyzed using the GEO datasets. The relevant genes of CDK5R1 were identified using differential expression analysis and weighted gene correlation network analysis (WGCNA) based on the GSE43850 dataset. ConsensusClusterPlus analysis was applied to identify subtypes (C1 and C2) of AD. The CIBERSORT algorithm was used to assess the immune cell infiltration between the two AD subtypes. Results. CDK5R1 was downregulated in AD. 244 differentially expressed CDK5R1-related genes (DECRGs) between the two subgroups were mainly enriched in GABAergic synapse, neuroactive ligand-receptor interaction, synapse organization, neurotransmitter transport, etc. Furthermore, the GSVA results indicated that immune-related pathways were significantly enriched in the C1 subgroup. Interestingly, 10 Reelin pathway-related genes (CRK, DAB2IP, LRP8, RELN, STAT5A, CDK5, CDK5R1, DAB1, FYN, and SH3KBP1) were abnormally expressed between the two subgroups. The proportion of T cell gamma delta, monocytes, macrophage M2, and dendritic cells activated decreased from C1 to C2, while the proportion of plasma cells, T cell follicular helper, and NK cells activated increased. Conclusion. Two CDK5R1-related subtypes of AD were identified, helping us to better understand the role of CDK5R1 in the pathological process of AD.</description><identifier>ISSN: 1748-670X</identifier><identifier>EISSN: 1748-6718</identifier><identifier>DOI: 10.1155/2022/6766460</identifier><identifier>PMID: 36561735</identifier><language>eng</language><publisher>United States: Hindawi</publisher><subject>Alzheimer Disease - genetics ; Alzheimer Disease - pathology ; Computational Biology ; Genes, Regulator ; Humans ; Nerve Tissue Proteins - genetics ; Nerve Tissue Proteins - metabolism ; ras GTPase-Activating Proteins - genetics</subject><ispartof>Computational and mathematical methods in medicine, 2022, Vol.2022, p.6766460-16</ispartof><rights>Copyright © 2022 Xu Shao et al.</rights><rights>Copyright © 2022 Xu Shao et al. 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3350-d9bcb106dc36436b0949456cb7aab9c4594f1c787053d8aa2768bceac94b342c3</citedby><cites>FETCH-LOGICAL-c3350-d9bcb106dc36436b0949456cb7aab9c4594f1c787053d8aa2768bceac94b342c3</cites><orcidid>0000-0002-6625-0198</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9767738/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9767738/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,724,777,781,882,4010,27904,27905,27906,53772,53774</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36561735$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Dai, Qi</contributor><creatorcontrib>Shao, Xu</creatorcontrib><creatorcontrib>Yang, Yanxian</creatorcontrib><creatorcontrib>Chen, Jieyun</creatorcontrib><creatorcontrib>Zhao, Runping</creatorcontrib><creatorcontrib>Xu, Lei</creatorcontrib><creatorcontrib>Guo, Xilong</creatorcontrib><creatorcontrib>Feng, Yu</creatorcontrib><creatorcontrib>Qin, Lina</creatorcontrib><title>Identification of Two CDK5R1-Related Subtypes and Characterization of Immune Infiltrates in Alzheimer’s Disease Based on an Integrated Bioinformatics Analysis</title><title>Computational and mathematical methods in medicine</title><addtitle>Comput Math Methods Med</addtitle><description>Background. Alzheimer’s disease (AD) is a neurodegenerative disorder and the major cause of senile dementia. The Reelin pathway has been involved in both learning and AD pathogenesis. However, the specific Reelin-related gene signature during the pathological process remains unknown. Methods. Reelin-related gene (CDK5R1) expression was analyzed using the GEO datasets. The relevant genes of CDK5R1 were identified using differential expression analysis and weighted gene correlation network analysis (WGCNA) based on the GSE43850 dataset. ConsensusClusterPlus analysis was applied to identify subtypes (C1 and C2) of AD. The CIBERSORT algorithm was used to assess the immune cell infiltration between the two AD subtypes. Results. CDK5R1 was downregulated in AD. 244 differentially expressed CDK5R1-related genes (DECRGs) between the two subgroups were mainly enriched in GABAergic synapse, neuroactive ligand-receptor interaction, synapse organization, neurotransmitter transport, etc. Furthermore, the GSVA results indicated that immune-related pathways were significantly enriched in the C1 subgroup. Interestingly, 10 Reelin pathway-related genes (CRK, DAB2IP, LRP8, RELN, STAT5A, CDK5, CDK5R1, DAB1, FYN, and SH3KBP1) were abnormally expressed between the two subgroups. The proportion of T cell gamma delta, monocytes, macrophage M2, and dendritic cells activated decreased from C1 to C2, while the proportion of plasma cells, T cell follicular helper, and NK cells activated increased. Conclusion. Two CDK5R1-related subtypes of AD were identified, helping us to better understand the role of CDK5R1 in the pathological process of AD.</description><subject>Alzheimer Disease - genetics</subject><subject>Alzheimer Disease - pathology</subject><subject>Computational Biology</subject><subject>Genes, Regulator</subject><subject>Humans</subject><subject>Nerve Tissue Proteins - genetics</subject><subject>Nerve Tissue Proteins - metabolism</subject><subject>ras GTPase-Activating Proteins - genetics</subject><issn>1748-670X</issn><issn>1748-6718</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><sourceid>EIF</sourceid><recordid>eNp9kc1u1DAYRSMEoj-wY428RKKhdvyXbJCm00JHVEIqRWJnfXacjlFiD3bSarriNdjxbDxJXWYYwYaNbcnnns_yLYoXBL8hhPPjClfVsZBCMIEfFftEsroUktSPd2f8Za84SOkrxpxITp4We1RwQSTl-8XPRWv96DpnYHTBo9Chq9uA5qcf-CUpL20Po23Rp0mP65VNCHyL5kuIYEYb3d0usxiGyVu08J3rx5gzCTmPZv3d0rrBxl_ffyR06pKFZNFJXlqUc-BzYLTX8feMExec70IcstQkNPPQr5NLz4onHfTJPt_uh8Xnd2dX8_Py4uP7xXx2URpKOS7bRhtNsGgNFYwKjRvWMC6MlgC6MYw3rCNG1hJz2tYAlRS1NhZMwzRllaGHxduNdzXpwbYm_0qEXq2iGyCuVQCn_r3xbqmuw41qpJCS1lnwaiuI4dtk06gGl4zte_A2TElVktcEy1xZRo82qIkhpWi73RiC1UOp6qFUtS014y__ftoO_tNiBl5vgKXzLdy6_-vuAaBhrfc</recordid><startdate>2022</startdate><enddate>2022</enddate><creator>Shao, Xu</creator><creator>Yang, Yanxian</creator><creator>Chen, Jieyun</creator><creator>Zhao, Runping</creator><creator>Xu, Lei</creator><creator>Guo, Xilong</creator><creator>Feng, Yu</creator><creator>Qin, Lina</creator><general>Hindawi</general><scope>RHU</scope><scope>RHW</scope><scope>RHX</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><orcidid>https://orcid.org/0000-0002-6625-0198</orcidid></search><sort><creationdate>2022</creationdate><title>Identification of Two CDK5R1-Related Subtypes and Characterization of Immune Infiltrates in Alzheimer’s Disease Based on an Integrated Bioinformatics Analysis</title><author>Shao, Xu ; Yang, Yanxian ; Chen, Jieyun ; Zhao, Runping ; Xu, Lei ; Guo, Xilong ; Feng, Yu ; Qin, Lina</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3350-d9bcb106dc36436b0949456cb7aab9c4594f1c787053d8aa2768bceac94b342c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Alzheimer Disease - genetics</topic><topic>Alzheimer Disease - pathology</topic><topic>Computational Biology</topic><topic>Genes, Regulator</topic><topic>Humans</topic><topic>Nerve Tissue Proteins - genetics</topic><topic>Nerve Tissue Proteins - metabolism</topic><topic>ras GTPase-Activating Proteins - genetics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shao, Xu</creatorcontrib><creatorcontrib>Yang, Yanxian</creatorcontrib><creatorcontrib>Chen, Jieyun</creatorcontrib><creatorcontrib>Zhao, Runping</creatorcontrib><creatorcontrib>Xu, Lei</creatorcontrib><creatorcontrib>Guo, Xilong</creatorcontrib><creatorcontrib>Feng, Yu</creatorcontrib><creatorcontrib>Qin, Lina</creatorcontrib><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access</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>Computational and mathematical methods in medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shao, Xu</au><au>Yang, Yanxian</au><au>Chen, Jieyun</au><au>Zhao, Runping</au><au>Xu, Lei</au><au>Guo, Xilong</au><au>Feng, Yu</au><au>Qin, Lina</au><au>Dai, Qi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Identification of Two CDK5R1-Related Subtypes and Characterization of Immune Infiltrates in Alzheimer’s Disease Based on an Integrated Bioinformatics Analysis</atitle><jtitle>Computational and mathematical methods in medicine</jtitle><addtitle>Comput Math Methods Med</addtitle><date>2022</date><risdate>2022</risdate><volume>2022</volume><spage>6766460</spage><epage>16</epage><pages>6766460-16</pages><issn>1748-670X</issn><eissn>1748-6718</eissn><abstract>Background. Alzheimer’s disease (AD) is a neurodegenerative disorder and the major cause of senile dementia. The Reelin pathway has been involved in both learning and AD pathogenesis. However, the specific Reelin-related gene signature during the pathological process remains unknown. Methods. Reelin-related gene (CDK5R1) expression was analyzed using the GEO datasets. The relevant genes of CDK5R1 were identified using differential expression analysis and weighted gene correlation network analysis (WGCNA) based on the GSE43850 dataset. ConsensusClusterPlus analysis was applied to identify subtypes (C1 and C2) of AD. The CIBERSORT algorithm was used to assess the immune cell infiltration between the two AD subtypes. Results. CDK5R1 was downregulated in AD. 244 differentially expressed CDK5R1-related genes (DECRGs) between the two subgroups were mainly enriched in GABAergic synapse, neuroactive ligand-receptor interaction, synapse organization, neurotransmitter transport, etc. Furthermore, the GSVA results indicated that immune-related pathways were significantly enriched in the C1 subgroup. Interestingly, 10 Reelin pathway-related genes (CRK, DAB2IP, LRP8, RELN, STAT5A, CDK5, CDK5R1, DAB1, FYN, and SH3KBP1) were abnormally expressed between the two subgroups. The proportion of T cell gamma delta, monocytes, macrophage M2, and dendritic cells activated decreased from C1 to C2, while the proportion of plasma cells, T cell follicular helper, and NK cells activated increased. Conclusion. Two CDK5R1-related subtypes of AD were identified, helping us to better understand the role of CDK5R1 in the pathological process of AD.</abstract><cop>United States</cop><pub>Hindawi</pub><pmid>36561735</pmid><doi>10.1155/2022/6766460</doi><tpages>16</tpages><orcidid>https://orcid.org/0000-0002-6625-0198</orcidid><oa>free_for_read</oa></addata></record>
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subjects Alzheimer Disease - genetics
Alzheimer Disease - pathology
Computational Biology
Genes, Regulator
Humans
Nerve Tissue Proteins - genetics
Nerve Tissue Proteins - metabolism
ras GTPase-Activating Proteins - genetics
title Identification of Two CDK5R1-Related Subtypes and Characterization of Immune Infiltrates in Alzheimer’s Disease Based on an Integrated Bioinformatics Analysis
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