Sighting acute myocardial infarction through platelet gene expression
Acute myocardial infarction is primarily due to coronary atherosclerotic plaque rupture and subsequent thrombus formation. Platelets play a key role in the genesis and progression of both atherosclerosis and thrombosis. Since platelets are anuclear cells that inherit their mRNA from megakaryocyte pr...
Gespeichert in:
Veröffentlicht in: | Scientific reports 2019-12, Vol.9 (1), p.19574-8, Article 19574 |
---|---|
Hauptverfasser: | , , , , , , , , , , , , , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 8 |
---|---|
container_issue | 1 |
container_start_page | 19574 |
container_title | Scientific reports |
container_volume | 9 |
creator | Gobbi, Giuliana Carubbi, Cecilia Tagliazucchi, Guidantonio Malagoli Masselli, Elena Mirandola, Prisco Pigazzani, Filippo Crocamo, Antonio Notarangelo, Maria Francesca Suma, Sergio Paraboschi, Elvezia Maglietta, Giuseppe Nagalla, Srikanth Pozzi, Giulia Galli, Daniela Vaccarezza, Mauro Fortina, Paolo Addya, Sankar Ertel, Adam Bray, Paul Duga, Stefano Berzuini, Carlo Vitale, Marco Ardissino, Diego |
description | Acute myocardial infarction is primarily due to coronary atherosclerotic plaque rupture and subsequent thrombus formation. Platelets play a key role in the genesis and progression of both atherosclerosis and thrombosis. Since platelets are anuclear cells that inherit their mRNA from megakaryocyte precursors and maintain it unchanged during their life span, gene expression profiling at the time of an acute myocardial infarction provides information concerning the platelet gene expression preceding the coronary event. In ST-segment elevation myocardial infarction (STEMI), a gene-by-gene analysis of the platelet gene expression identified five differentially expressed genes: FKBP5, S100P, SAMSN1, CLEC4E and S100A12. The logistic regression model used to combine the gene expression in a STEMI vs healthy donors score showed an AUC of 0.95. The same five differentially expressed genes were externally validated using platelet gene expression data from patients with coronary atherosclerosis but without thrombosis. Platelet gene expression profile highlights five genes able to identify STEMI patients and to discriminate them in the background of atherosclerosis. Consequently, early signals of an imminent acute myocardial infarction are likely to be found by platelet gene expression profiling before the infarction occurs. |
doi_str_mv | 10.1038/s41598-019-56047-0 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6925116</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2329729729</sourcerecordid><originalsourceid>FETCH-LOGICAL-c474t-3d4ac3420fce659391efb1c3c722b02eb1fb78e3fc964c9be934a72afdeacfd53</originalsourceid><addsrcrecordid>eNp9kctKLDEQhoMoKuoLuJAGN25ac-tLNoKINxBcqOuQTld6Ij3JmKTl-PYnznhfGAoSqK_-StWP0D7BxwSz9iRyUom2xESUVY15U-I1tE0xr0rKKF3_9t5CezE-4XwqKjgRm2iLkbZmuK220cW9HWbJuqFQekpQzF-9VqG3aiysMyroZL0r0iz4aZgVi1ElGCEVAzgo4N8iQIwZ2EUbRo0R9t7vHfR4efFwfl3e3l3dnJ_dlpo3PJWs50ozTrHRUFeCCQKmI5rphtIOU-iI6ZoWmNGi5lp0IBhXDVWmB6VNX7EddLrSXUzdHHoNLgU1ykWwcxVepVdW_sw4O5ODf5G1oBUhdRY4ehcI_nmCmOTcRg3jqBz4Kcq8L9EsI6OHv9AnPwWXx1tSjDQ1fqPoitLBxxjAfH6GYPlmlFwZJbNRcmmUxLno4PsYnyUftmSArYCYU26A8NX7D9n_iI-gVA</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2329317609</pqid></control><display><type>article</type><title>Sighting acute myocardial infarction through platelet gene expression</title><source>Nature Open Access</source><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><source>Springer Nature OA/Free Journals</source><source>Free Full-Text Journals in Chemistry</source><creator>Gobbi, Giuliana ; Carubbi, Cecilia ; Tagliazucchi, Guidantonio Malagoli ; Masselli, Elena ; Mirandola, Prisco ; Pigazzani, Filippo ; Crocamo, Antonio ; Notarangelo, Maria Francesca ; Suma, Sergio ; Paraboschi, Elvezia ; Maglietta, Giuseppe ; Nagalla, Srikanth ; Pozzi, Giulia ; Galli, Daniela ; Vaccarezza, Mauro ; Fortina, Paolo ; Addya, Sankar ; Ertel, Adam ; Bray, Paul ; Duga, Stefano ; Berzuini, Carlo ; Vitale, Marco ; Ardissino, Diego</creator><creatorcontrib>Gobbi, Giuliana ; Carubbi, Cecilia ; Tagliazucchi, Guidantonio Malagoli ; Masselli, Elena ; Mirandola, Prisco ; Pigazzani, Filippo ; Crocamo, Antonio ; Notarangelo, Maria Francesca ; Suma, Sergio ; Paraboschi, Elvezia ; Maglietta, Giuseppe ; Nagalla, Srikanth ; Pozzi, Giulia ; Galli, Daniela ; Vaccarezza, Mauro ; Fortina, Paolo ; Addya, Sankar ; Ertel, Adam ; Bray, Paul ; Duga, Stefano ; Berzuini, Carlo ; Vitale, Marco ; Ardissino, Diego</creatorcontrib><description>Acute myocardial infarction is primarily due to coronary atherosclerotic plaque rupture and subsequent thrombus formation. Platelets play a key role in the genesis and progression of both atherosclerosis and thrombosis. Since platelets are anuclear cells that inherit their mRNA from megakaryocyte precursors and maintain it unchanged during their life span, gene expression profiling at the time of an acute myocardial infarction provides information concerning the platelet gene expression preceding the coronary event. In ST-segment elevation myocardial infarction (STEMI), a gene-by-gene analysis of the platelet gene expression identified five differentially expressed genes: FKBP5, S100P, SAMSN1, CLEC4E and S100A12. The logistic regression model used to combine the gene expression in a STEMI vs healthy donors score showed an AUC of 0.95. The same five differentially expressed genes were externally validated using platelet gene expression data from patients with coronary atherosclerosis but without thrombosis. Platelet gene expression profile highlights five genes able to identify STEMI patients and to discriminate them in the background of atherosclerosis. Consequently, early signals of an imminent acute myocardial infarction are likely to be found by platelet gene expression profiling before the infarction occurs.</description><identifier>ISSN: 2045-2322</identifier><identifier>EISSN: 2045-2322</identifier><identifier>DOI: 10.1038/s41598-019-56047-0</identifier><identifier>PMID: 31863085</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>38 ; 38/61 ; 692/4019/592 ; 692/699/75 ; Adaptor Proteins, Vesicular Transport - genetics ; Adaptor Proteins, Vesicular Transport - metabolism ; Aged ; Aged, 80 and over ; Arteriosclerosis ; Atherosclerosis ; Atherosclerosis - genetics ; Atherosclerosis - metabolism ; Blood Platelets - metabolism ; Calcium-Binding Proteins - genetics ; Calcium-Binding Proteins - metabolism ; Electrocardiography ; Female ; Gene expression ; Heart attacks ; Humanities and Social Sciences ; Humans ; Lectins, C-Type - genetics ; Lectins, C-Type - metabolism ; Life span ; Logistic Models ; Male ; Middle Aged ; multidisciplinary ; Myocardial infarction ; Myocardial Infarction - genetics ; Neoplasm Proteins - genetics ; Neoplasm Proteins - metabolism ; Platelets ; Receptors, Immunologic - genetics ; Receptors, Immunologic - metabolism ; S100A12 Protein - genetics ; S100A12 Protein - metabolism ; Science ; Science (multidisciplinary) ; Tacrolimus Binding Proteins - genetics ; Tacrolimus Binding Proteins - metabolism ; Thromboembolism ; Thrombosis</subject><ispartof>Scientific reports, 2019-12, Vol.9 (1), p.19574-8, Article 19574</ispartof><rights>The Author(s) 2019</rights><rights>2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c474t-3d4ac3420fce659391efb1c3c722b02eb1fb78e3fc964c9be934a72afdeacfd53</citedby><cites>FETCH-LOGICAL-c474t-3d4ac3420fce659391efb1c3c722b02eb1fb78e3fc964c9be934a72afdeacfd53</cites><orcidid>0000-0003-3457-1410 ; 0000-0002-5898-2081 ; 0000-0001-6056-0489 ; 0000-0002-8726-306X ; 0000-0003-3060-318X</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/PMC6925116/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6925116/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,27924,27925,41120,42189,51576,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31863085$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gobbi, Giuliana</creatorcontrib><creatorcontrib>Carubbi, Cecilia</creatorcontrib><creatorcontrib>Tagliazucchi, Guidantonio Malagoli</creatorcontrib><creatorcontrib>Masselli, Elena</creatorcontrib><creatorcontrib>Mirandola, Prisco</creatorcontrib><creatorcontrib>Pigazzani, Filippo</creatorcontrib><creatorcontrib>Crocamo, Antonio</creatorcontrib><creatorcontrib>Notarangelo, Maria Francesca</creatorcontrib><creatorcontrib>Suma, Sergio</creatorcontrib><creatorcontrib>Paraboschi, Elvezia</creatorcontrib><creatorcontrib>Maglietta, Giuseppe</creatorcontrib><creatorcontrib>Nagalla, Srikanth</creatorcontrib><creatorcontrib>Pozzi, Giulia</creatorcontrib><creatorcontrib>Galli, Daniela</creatorcontrib><creatorcontrib>Vaccarezza, Mauro</creatorcontrib><creatorcontrib>Fortina, Paolo</creatorcontrib><creatorcontrib>Addya, Sankar</creatorcontrib><creatorcontrib>Ertel, Adam</creatorcontrib><creatorcontrib>Bray, Paul</creatorcontrib><creatorcontrib>Duga, Stefano</creatorcontrib><creatorcontrib>Berzuini, Carlo</creatorcontrib><creatorcontrib>Vitale, Marco</creatorcontrib><creatorcontrib>Ardissino, Diego</creatorcontrib><title>Sighting acute myocardial infarction through platelet gene expression</title><title>Scientific reports</title><addtitle>Sci Rep</addtitle><addtitle>Sci Rep</addtitle><description>Acute myocardial infarction is primarily due to coronary atherosclerotic plaque rupture and subsequent thrombus formation. Platelets play a key role in the genesis and progression of both atherosclerosis and thrombosis. Since platelets are anuclear cells that inherit their mRNA from megakaryocyte precursors and maintain it unchanged during their life span, gene expression profiling at the time of an acute myocardial infarction provides information concerning the platelet gene expression preceding the coronary event. In ST-segment elevation myocardial infarction (STEMI), a gene-by-gene analysis of the platelet gene expression identified five differentially expressed genes: FKBP5, S100P, SAMSN1, CLEC4E and S100A12. The logistic regression model used to combine the gene expression in a STEMI vs healthy donors score showed an AUC of 0.95. The same five differentially expressed genes were externally validated using platelet gene expression data from patients with coronary atherosclerosis but without thrombosis. Platelet gene expression profile highlights five genes able to identify STEMI patients and to discriminate them in the background of atherosclerosis. Consequently, early signals of an imminent acute myocardial infarction are likely to be found by platelet gene expression profiling before the infarction occurs.</description><subject>38</subject><subject>38/61</subject><subject>692/4019/592</subject><subject>692/699/75</subject><subject>Adaptor Proteins, Vesicular Transport - genetics</subject><subject>Adaptor Proteins, Vesicular Transport - metabolism</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Arteriosclerosis</subject><subject>Atherosclerosis</subject><subject>Atherosclerosis - genetics</subject><subject>Atherosclerosis - metabolism</subject><subject>Blood Platelets - metabolism</subject><subject>Calcium-Binding Proteins - genetics</subject><subject>Calcium-Binding Proteins - metabolism</subject><subject>Electrocardiography</subject><subject>Female</subject><subject>Gene expression</subject><subject>Heart attacks</subject><subject>Humanities and Social Sciences</subject><subject>Humans</subject><subject>Lectins, C-Type - genetics</subject><subject>Lectins, C-Type - metabolism</subject><subject>Life span</subject><subject>Logistic Models</subject><subject>Male</subject><subject>Middle Aged</subject><subject>multidisciplinary</subject><subject>Myocardial infarction</subject><subject>Myocardial Infarction - genetics</subject><subject>Neoplasm Proteins - genetics</subject><subject>Neoplasm Proteins - metabolism</subject><subject>Platelets</subject><subject>Receptors, Immunologic - genetics</subject><subject>Receptors, Immunologic - metabolism</subject><subject>S100A12 Protein - genetics</subject><subject>S100A12 Protein - metabolism</subject><subject>Science</subject><subject>Science (multidisciplinary)</subject><subject>Tacrolimus Binding Proteins - genetics</subject><subject>Tacrolimus Binding Proteins - metabolism</subject><subject>Thromboembolism</subject><subject>Thrombosis</subject><issn>2045-2322</issn><issn>2045-2322</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kctKLDEQhoMoKuoLuJAGN25ac-tLNoKINxBcqOuQTld6Ij3JmKTl-PYnznhfGAoSqK_-StWP0D7BxwSz9iRyUom2xESUVY15U-I1tE0xr0rKKF3_9t5CezE-4XwqKjgRm2iLkbZmuK220cW9HWbJuqFQekpQzF-9VqG3aiysMyroZL0r0iz4aZgVi1ElGCEVAzgo4N8iQIwZ2EUbRo0R9t7vHfR4efFwfl3e3l3dnJ_dlpo3PJWs50ozTrHRUFeCCQKmI5rphtIOU-iI6ZoWmNGi5lp0IBhXDVWmB6VNX7EddLrSXUzdHHoNLgU1ykWwcxVepVdW_sw4O5ODf5G1oBUhdRY4ehcI_nmCmOTcRg3jqBz4Kcq8L9EsI6OHv9AnPwWXx1tSjDQ1fqPoitLBxxjAfH6GYPlmlFwZJbNRcmmUxLno4PsYnyUftmSArYCYU26A8NX7D9n_iI-gVA</recordid><startdate>20191220</startdate><enddate>20191220</enddate><creator>Gobbi, Giuliana</creator><creator>Carubbi, Cecilia</creator><creator>Tagliazucchi, Guidantonio Malagoli</creator><creator>Masselli, Elena</creator><creator>Mirandola, Prisco</creator><creator>Pigazzani, Filippo</creator><creator>Crocamo, Antonio</creator><creator>Notarangelo, Maria Francesca</creator><creator>Suma, Sergio</creator><creator>Paraboschi, Elvezia</creator><creator>Maglietta, Giuseppe</creator><creator>Nagalla, Srikanth</creator><creator>Pozzi, Giulia</creator><creator>Galli, Daniela</creator><creator>Vaccarezza, Mauro</creator><creator>Fortina, Paolo</creator><creator>Addya, Sankar</creator><creator>Ertel, Adam</creator><creator>Bray, Paul</creator><creator>Duga, Stefano</creator><creator>Berzuini, Carlo</creator><creator>Vitale, Marco</creator><creator>Ardissino, Diego</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><scope>C6C</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>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88I</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-3457-1410</orcidid><orcidid>https://orcid.org/0000-0002-5898-2081</orcidid><orcidid>https://orcid.org/0000-0001-6056-0489</orcidid><orcidid>https://orcid.org/0000-0002-8726-306X</orcidid><orcidid>https://orcid.org/0000-0003-3060-318X</orcidid></search><sort><creationdate>20191220</creationdate><title>Sighting acute myocardial infarction through platelet gene expression</title><author>Gobbi, Giuliana ; Carubbi, Cecilia ; Tagliazucchi, Guidantonio Malagoli ; Masselli, Elena ; Mirandola, Prisco ; Pigazzani, Filippo ; Crocamo, Antonio ; Notarangelo, Maria Francesca ; Suma, Sergio ; Paraboschi, Elvezia ; Maglietta, Giuseppe ; Nagalla, Srikanth ; Pozzi, Giulia ; Galli, Daniela ; Vaccarezza, Mauro ; Fortina, Paolo ; Addya, Sankar ; Ertel, Adam ; Bray, Paul ; Duga, Stefano ; Berzuini, Carlo ; Vitale, Marco ; Ardissino, Diego</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c474t-3d4ac3420fce659391efb1c3c722b02eb1fb78e3fc964c9be934a72afdeacfd53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>38</topic><topic>38/61</topic><topic>692/4019/592</topic><topic>692/699/75</topic><topic>Adaptor Proteins, Vesicular Transport - genetics</topic><topic>Adaptor Proteins, Vesicular Transport - metabolism</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Arteriosclerosis</topic><topic>Atherosclerosis</topic><topic>Atherosclerosis - genetics</topic><topic>Atherosclerosis - metabolism</topic><topic>Blood Platelets - metabolism</topic><topic>Calcium-Binding Proteins - genetics</topic><topic>Calcium-Binding Proteins - metabolism</topic><topic>Electrocardiography</topic><topic>Female</topic><topic>Gene expression</topic><topic>Heart attacks</topic><topic>Humanities and Social Sciences</topic><topic>Humans</topic><topic>Lectins, C-Type - genetics</topic><topic>Lectins, C-Type - metabolism</topic><topic>Life span</topic><topic>Logistic Models</topic><topic>Male</topic><topic>Middle Aged</topic><topic>multidisciplinary</topic><topic>Myocardial infarction</topic><topic>Myocardial Infarction - genetics</topic><topic>Neoplasm Proteins - genetics</topic><topic>Neoplasm Proteins - metabolism</topic><topic>Platelets</topic><topic>Receptors, Immunologic - genetics</topic><topic>Receptors, Immunologic - metabolism</topic><topic>S100A12 Protein - genetics</topic><topic>S100A12 Protein - metabolism</topic><topic>Science</topic><topic>Science (multidisciplinary)</topic><topic>Tacrolimus Binding Proteins - genetics</topic><topic>Tacrolimus Binding Proteins - metabolism</topic><topic>Thromboembolism</topic><topic>Thrombosis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gobbi, Giuliana</creatorcontrib><creatorcontrib>Carubbi, Cecilia</creatorcontrib><creatorcontrib>Tagliazucchi, Guidantonio Malagoli</creatorcontrib><creatorcontrib>Masselli, Elena</creatorcontrib><creatorcontrib>Mirandola, Prisco</creatorcontrib><creatorcontrib>Pigazzani, Filippo</creatorcontrib><creatorcontrib>Crocamo, Antonio</creatorcontrib><creatorcontrib>Notarangelo, Maria Francesca</creatorcontrib><creatorcontrib>Suma, Sergio</creatorcontrib><creatorcontrib>Paraboschi, Elvezia</creatorcontrib><creatorcontrib>Maglietta, Giuseppe</creatorcontrib><creatorcontrib>Nagalla, Srikanth</creatorcontrib><creatorcontrib>Pozzi, Giulia</creatorcontrib><creatorcontrib>Galli, Daniela</creatorcontrib><creatorcontrib>Vaccarezza, Mauro</creatorcontrib><creatorcontrib>Fortina, Paolo</creatorcontrib><creatorcontrib>Addya, Sankar</creatorcontrib><creatorcontrib>Ertel, Adam</creatorcontrib><creatorcontrib>Bray, Paul</creatorcontrib><creatorcontrib>Duga, Stefano</creatorcontrib><creatorcontrib>Berzuini, Carlo</creatorcontrib><creatorcontrib>Vitale, Marco</creatorcontrib><creatorcontrib>Ardissino, Diego</creatorcontrib><collection>Springer Nature OA/Free Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech 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>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Scientific reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gobbi, Giuliana</au><au>Carubbi, Cecilia</au><au>Tagliazucchi, Guidantonio Malagoli</au><au>Masselli, Elena</au><au>Mirandola, Prisco</au><au>Pigazzani, Filippo</au><au>Crocamo, Antonio</au><au>Notarangelo, Maria Francesca</au><au>Suma, Sergio</au><au>Paraboschi, Elvezia</au><au>Maglietta, Giuseppe</au><au>Nagalla, Srikanth</au><au>Pozzi, Giulia</au><au>Galli, Daniela</au><au>Vaccarezza, Mauro</au><au>Fortina, Paolo</au><au>Addya, Sankar</au><au>Ertel, Adam</au><au>Bray, Paul</au><au>Duga, Stefano</au><au>Berzuini, Carlo</au><au>Vitale, Marco</au><au>Ardissino, Diego</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Sighting acute myocardial infarction through platelet gene expression</atitle><jtitle>Scientific reports</jtitle><stitle>Sci Rep</stitle><addtitle>Sci Rep</addtitle><date>2019-12-20</date><risdate>2019</risdate><volume>9</volume><issue>1</issue><spage>19574</spage><epage>8</epage><pages>19574-8</pages><artnum>19574</artnum><issn>2045-2322</issn><eissn>2045-2322</eissn><abstract>Acute myocardial infarction is primarily due to coronary atherosclerotic plaque rupture and subsequent thrombus formation. Platelets play a key role in the genesis and progression of both atherosclerosis and thrombosis. Since platelets are anuclear cells that inherit their mRNA from megakaryocyte precursors and maintain it unchanged during their life span, gene expression profiling at the time of an acute myocardial infarction provides information concerning the platelet gene expression preceding the coronary event. In ST-segment elevation myocardial infarction (STEMI), a gene-by-gene analysis of the platelet gene expression identified five differentially expressed genes: FKBP5, S100P, SAMSN1, CLEC4E and S100A12. The logistic regression model used to combine the gene expression in a STEMI vs healthy donors score showed an AUC of 0.95. The same five differentially expressed genes were externally validated using platelet gene expression data from patients with coronary atherosclerosis but without thrombosis. Platelet gene expression profile highlights five genes able to identify STEMI patients and to discriminate them in the background of atherosclerosis. Consequently, early signals of an imminent acute myocardial infarction are likely to be found by platelet gene expression profiling before the infarction occurs.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>31863085</pmid><doi>10.1038/s41598-019-56047-0</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0003-3457-1410</orcidid><orcidid>https://orcid.org/0000-0002-5898-2081</orcidid><orcidid>https://orcid.org/0000-0001-6056-0489</orcidid><orcidid>https://orcid.org/0000-0002-8726-306X</orcidid><orcidid>https://orcid.org/0000-0003-3060-318X</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2045-2322 |
ispartof | Scientific reports, 2019-12, Vol.9 (1), p.19574-8, Article 19574 |
issn | 2045-2322 2045-2322 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6925116 |
source | Nature Open Access; MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Springer Nature OA/Free Journals; Free Full-Text Journals in Chemistry |
subjects | 38 38/61 692/4019/592 692/699/75 Adaptor Proteins, Vesicular Transport - genetics Adaptor Proteins, Vesicular Transport - metabolism Aged Aged, 80 and over Arteriosclerosis Atherosclerosis Atherosclerosis - genetics Atherosclerosis - metabolism Blood Platelets - metabolism Calcium-Binding Proteins - genetics Calcium-Binding Proteins - metabolism Electrocardiography Female Gene expression Heart attacks Humanities and Social Sciences Humans Lectins, C-Type - genetics Lectins, C-Type - metabolism Life span Logistic Models Male Middle Aged multidisciplinary Myocardial infarction Myocardial Infarction - genetics Neoplasm Proteins - genetics Neoplasm Proteins - metabolism Platelets Receptors, Immunologic - genetics Receptors, Immunologic - metabolism S100A12 Protein - genetics S100A12 Protein - metabolism Science Science (multidisciplinary) Tacrolimus Binding Proteins - genetics Tacrolimus Binding Proteins - metabolism Thromboembolism Thrombosis |
title | Sighting acute myocardial infarction through platelet gene expression |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-19T18%3A59%3A51IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Sighting%20acute%20myocardial%20infarction%20through%20platelet%20gene%20expression&rft.jtitle=Scientific%20reports&rft.au=Gobbi,%20Giuliana&rft.date=2019-12-20&rft.volume=9&rft.issue=1&rft.spage=19574&rft.epage=8&rft.pages=19574-8&rft.artnum=19574&rft.issn=2045-2322&rft.eissn=2045-2322&rft_id=info:doi/10.1038/s41598-019-56047-0&rft_dat=%3Cproquest_pubme%3E2329729729%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2329317609&rft_id=info:pmid/31863085&rfr_iscdi=true |