Significance of neutrophil extracellular traps-related gene in the diagnosis and classification of atherosclerosis
Atherosclerosis (AS) is a pathological process associated with various cardiovascular diseases. Upon different stimuli, neutrophils release reticular complexes known as neutrophil extracellular traps (NETs). Numerous researches have indicated a strong correlation between NETs and AS. However, its ro...
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| Veröffentlicht in: | Apoptosis (London) 2024-06, Vol.29 (5-6), p.605-619 |
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| creator | Song, Liantai Zhang, Boyu Li, Reng Duan, Yibing Chi, Yifan Xu, Yangyi Hua, Xucong Xu, Qian |
| description | Atherosclerosis (AS) is a pathological process associated with various cardiovascular diseases. Upon different stimuli, neutrophils release reticular complexes known as neutrophil extracellular traps (NETs). Numerous researches have indicated a strong correlation between NETs and AS. However, its role in cardiovascular disease requires further investigation. By utilizing a machine learning algorithm, we examined the genes associated with NETs that were expressed differently in individuals with AS compared to normal controls. As a result, we identified four distinct genes. A nomogram model was built to forecast the incidence of AS. Additionally, we conducted analysis on immune infiltration, functional enrichment and consensus clustering in AS samples. The findings indicated that individuals with AS could be categorized into two groups, exhibiting notable variations in immune infiltration traits among the groups. Furthermore, to measure the NETs model, the principal component analysis algorithm was developed and cluster B outperformed cluster A in terms of NETs. Additionally, there were variations in the expression of multiple chemokines between the two subtypes. By studying AS NETs, we acquired fresh knowledge about the molecular patterns and immune mechanisms implicated, which could open up new possibilities for AS immunotherapy. |
| doi_str_mv | 10.1007/s10495-023-01923-4 |
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Upon different stimuli, neutrophils release reticular complexes known as neutrophil extracellular traps (NETs). Numerous researches have indicated a strong correlation between NETs and AS. However, its role in cardiovascular disease requires further investigation. By utilizing a machine learning algorithm, we examined the genes associated with NETs that were expressed differently in individuals with AS compared to normal controls. As a result, we identified four distinct genes. A nomogram model was built to forecast the incidence of AS. Additionally, we conducted analysis on immune infiltration, functional enrichment and consensus clustering in AS samples. The findings indicated that individuals with AS could be categorized into two groups, exhibiting notable variations in immune infiltration traits among the groups. Furthermore, to measure the NETs model, the principal component analysis algorithm was developed and cluster B outperformed cluster A in terms of NETs. Additionally, there were variations in the expression of multiple chemokines between the two subtypes. By studying AS NETs, we acquired fresh knowledge about the molecular patterns and immune mechanisms implicated, which could open up new possibilities for AS immunotherapy.</description><identifier>ISSN: 1360-8185</identifier><identifier>ISSN: 1573-675X</identifier><identifier>EISSN: 1573-675X</identifier><identifier>DOI: 10.1007/s10495-023-01923-4</identifier><identifier>PMID: 38367202</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Algorithms ; Arteriosclerosis ; Atherosclerosis ; Biochemistry ; Biomedical and Life Sciences ; Biomedicine ; Cancer Research ; Cardiovascular diseases ; Cell Biology ; Chemokines ; Clustering ; Comparative analysis ; Data mining ; Genes ; Immunotherapy ; Infiltration ; Knowledge acquisition ; Leukocytes (neutrophilic) ; Machine learning ; Neutrophils ; Nomograms ; Oncology ; Principal components analysis ; Virology</subject><ispartof>Apoptosis (London), 2024-06, Vol.29 (5-6), p.605-619</ispartof><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.</rights><rights>COPYRIGHT 2024 Springer</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c442t-2a96e0ba3cce000746ce15dd1302aa7823b0ce8ed5611b182a253686457325123</citedby><cites>FETCH-LOGICAL-c442t-2a96e0ba3cce000746ce15dd1302aa7823b0ce8ed5611b182a253686457325123</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10495-023-01923-4$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10495-023-01923-4$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>315,781,785,27926,27927,41490,42559,51321</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38367202$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Song, Liantai</creatorcontrib><creatorcontrib>Zhang, Boyu</creatorcontrib><creatorcontrib>Li, Reng</creatorcontrib><creatorcontrib>Duan, Yibing</creatorcontrib><creatorcontrib>Chi, Yifan</creatorcontrib><creatorcontrib>Xu, Yangyi</creatorcontrib><creatorcontrib>Hua, Xucong</creatorcontrib><creatorcontrib>Xu, Qian</creatorcontrib><title>Significance of neutrophil extracellular traps-related gene in the diagnosis and classification of atherosclerosis</title><title>Apoptosis (London)</title><addtitle>Apoptosis</addtitle><addtitle>Apoptosis</addtitle><description>Atherosclerosis (AS) is a pathological process associated with various cardiovascular diseases. Upon different stimuli, neutrophils release reticular complexes known as neutrophil extracellular traps (NETs). Numerous researches have indicated a strong correlation between NETs and AS. However, its role in cardiovascular disease requires further investigation. By utilizing a machine learning algorithm, we examined the genes associated with NETs that were expressed differently in individuals with AS compared to normal controls. As a result, we identified four distinct genes. A nomogram model was built to forecast the incidence of AS. Additionally, we conducted analysis on immune infiltration, functional enrichment and consensus clustering in AS samples. The findings indicated that individuals with AS could be categorized into two groups, exhibiting notable variations in immune infiltration traits among the groups. Furthermore, to measure the NETs model, the principal component analysis algorithm was developed and cluster B outperformed cluster A in terms of NETs. Additionally, there were variations in the expression of multiple chemokines between the two subtypes. By studying AS NETs, we acquired fresh knowledge about the molecular patterns and immune mechanisms implicated, which could open up new possibilities for AS immunotherapy.</description><subject>Algorithms</subject><subject>Arteriosclerosis</subject><subject>Atherosclerosis</subject><subject>Biochemistry</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Cancer Research</subject><subject>Cardiovascular diseases</subject><subject>Cell Biology</subject><subject>Chemokines</subject><subject>Clustering</subject><subject>Comparative analysis</subject><subject>Data mining</subject><subject>Genes</subject><subject>Immunotherapy</subject><subject>Infiltration</subject><subject>Knowledge acquisition</subject><subject>Leukocytes (neutrophilic)</subject><subject>Machine learning</subject><subject>Neutrophils</subject><subject>Nomograms</subject><subject>Oncology</subject><subject>Principal components analysis</subject><subject>Virology</subject><issn>1360-8185</issn><issn>1573-675X</issn><issn>1573-675X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9UU1rFTEUDaLYWv0DLiTgxs3Um69JZlmKX1BwoYK7kJe5M03JS57JDOi_N9NXLYpI4OaSnHM49x5CnjM4ZwD6dWUgB9UBFx2woVX5gJwypUXXa_X1YetFD51hRp2QJ7XeAIAwQj4mJ-3qNQd-SsqnMKcwBe-SR5onmnBdSj5ch0jx-1KcxxjX6Apt_aF2BaNbcKQzJqQh0eUa6RjcnHINlbo0Uh9drbeKS8hpk3QNVHL1cauhPiWPJhcrPru7z8iXt28-X77vrj6--3B5cdV5KfnScTf0CDsnvMfmXMveI1PjyARw57ThYgceDY6qZ2zHDHdcid70si2AK8bFGXl11D2U_G3Futh9qNs4LmFeq-UDN1yBhA368i_oTV5Lau6sAKklV5ype9TsItqQprztZxO1F3pgRitpREOd_wPVzoj74HPCKbT3Pwj8SPBtPbXgZA8l7F35YRnYLWh7DNo2o_Y2aCsb6cWd43W3x_E35VeyDSCOgNq-0ozlfqT_yP4E-A6yfw</recordid><startdate>20240601</startdate><enddate>20240601</enddate><creator>Song, Liantai</creator><creator>Zhang, Boyu</creator><creator>Li, Reng</creator><creator>Duan, Yibing</creator><creator>Chi, Yifan</creator><creator>Xu, Yangyi</creator><creator>Hua, Xucong</creator><creator>Xu, Qian</creator><general>Springer US</general><general>Springer</general><general>Springer Nature B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QL</scope><scope>7QP</scope><scope>7TK</scope><scope>7TM</scope><scope>7U9</scope><scope>C1K</scope><scope>H94</scope><scope>K9.</scope><scope>M7N</scope><scope>U9A</scope><scope>7X8</scope></search><sort><creationdate>20240601</creationdate><title>Significance of neutrophil extracellular traps-related gene in the diagnosis and classification of atherosclerosis</title><author>Song, Liantai ; Zhang, Boyu ; Li, Reng ; Duan, Yibing ; Chi, Yifan ; Xu, Yangyi ; Hua, Xucong ; Xu, Qian</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c442t-2a96e0ba3cce000746ce15dd1302aa7823b0ce8ed5611b182a253686457325123</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Algorithms</topic><topic>Arteriosclerosis</topic><topic>Atherosclerosis</topic><topic>Biochemistry</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedicine</topic><topic>Cancer Research</topic><topic>Cardiovascular diseases</topic><topic>Cell Biology</topic><topic>Chemokines</topic><topic>Clustering</topic><topic>Comparative analysis</topic><topic>Data mining</topic><topic>Genes</topic><topic>Immunotherapy</topic><topic>Infiltration</topic><topic>Knowledge acquisition</topic><topic>Leukocytes (neutrophilic)</topic><topic>Machine learning</topic><topic>Neutrophils</topic><topic>Nomograms</topic><topic>Oncology</topic><topic>Principal components analysis</topic><topic>Virology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Song, Liantai</creatorcontrib><creatorcontrib>Zhang, Boyu</creatorcontrib><creatorcontrib>Li, Reng</creatorcontrib><creatorcontrib>Duan, Yibing</creatorcontrib><creatorcontrib>Chi, Yifan</creatorcontrib><creatorcontrib>Xu, Yangyi</creatorcontrib><creatorcontrib>Hua, Xucong</creatorcontrib><creatorcontrib>Xu, Qian</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>MEDLINE - Academic</collection><jtitle>Apoptosis (London)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Song, Liantai</au><au>Zhang, Boyu</au><au>Li, Reng</au><au>Duan, Yibing</au><au>Chi, Yifan</au><au>Xu, Yangyi</au><au>Hua, Xucong</au><au>Xu, Qian</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Significance of neutrophil extracellular traps-related gene in the diagnosis and classification of atherosclerosis</atitle><jtitle>Apoptosis (London)</jtitle><stitle>Apoptosis</stitle><addtitle>Apoptosis</addtitle><date>2024-06-01</date><risdate>2024</risdate><volume>29</volume><issue>5-6</issue><spage>605</spage><epage>619</epage><pages>605-619</pages><issn>1360-8185</issn><issn>1573-675X</issn><eissn>1573-675X</eissn><abstract>Atherosclerosis (AS) is a pathological process associated with various cardiovascular diseases. Upon different stimuli, neutrophils release reticular complexes known as neutrophil extracellular traps (NETs). Numerous researches have indicated a strong correlation between NETs and AS. However, its role in cardiovascular disease requires further investigation. By utilizing a machine learning algorithm, we examined the genes associated with NETs that were expressed differently in individuals with AS compared to normal controls. As a result, we identified four distinct genes. A nomogram model was built to forecast the incidence of AS. Additionally, we conducted analysis on immune infiltration, functional enrichment and consensus clustering in AS samples. The findings indicated that individuals with AS could be categorized into two groups, exhibiting notable variations in immune infiltration traits among the groups. Furthermore, to measure the NETs model, the principal component analysis algorithm was developed and cluster B outperformed cluster A in terms of NETs. 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| subjects | Algorithms Arteriosclerosis Atherosclerosis Biochemistry Biomedical and Life Sciences Biomedicine Cancer Research Cardiovascular diseases Cell Biology Chemokines Clustering Comparative analysis Data mining Genes Immunotherapy Infiltration Knowledge acquisition Leukocytes (neutrophilic) Machine learning Neutrophils Nomograms Oncology Principal components analysis Virology |
| title | Significance of neutrophil extracellular traps-related gene in the diagnosis and classification of atherosclerosis |
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