<table><tbody><tr><td><table cellpadding="2" cellspacing="0" width="600"><tbody><tr bgcolor="#cccccc" valign="top"><td colspan="2"><table width="600"><tbody><tr><td><strong class="acc" id="GSE141512"><a href="/geo/query/acc.cgi?acc=GSE141512" onmouseout="onLinkOut('HelpMessage' , geo_empty_help)" onmouseover="onLinkOver('HelpMessage' , geoaxema_recenter)">Series GSE141512</a></strong></td>

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<td align="right" onmouseout="onLinkOut('HelpMessage' , geo_empty_help)" onmouseover="onLinkOver('HelpMessage' , geoaxema_gds)"><a href="/gds/?term=GSE141512[Accession]">Query DataSets for GSE141512</a></td>

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<tr valign="top"><td>Status</td>

<td>Public on Dec 06, 2019</td>

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<tr valign="top"><td nowrap="">Title</td>

<td style="text-align: justify">Expression data for patients with myocardial infarction (MI) vs healthy patients</td>

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<tr valign="top"><td nowrap="">Organism</td>

<td><a href="/Taxonomy/Browser/wwwtax.cgi?mode=Info&amp;id=9606" onmouseout="onLinkOut('HelpMessage' , geo_empty_help)" onmouseover="onLinkOver('HelpMessage' , geoaxema_organismus)">Homo sapiens</a></td>

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<tr valign="top"><td nowrap="">Experiment type</td>

<td>Expression profiling by array<br></td>

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<tr valign="top"><td nowrap="">Summary</td>

<td style="text-align: justify">Myocardial infarction (MI) is one of the most severe manifestations of coronary artery disease (CAD) and the leading cause of death from non-infectious diseases worldwide. It is known, that the central component of CAD pathogenesis is a chronic vascular inflammation. However, the mechanisms underlying the changes that occur in T, B and NK-lymphocytes, monocytes and other immune cells during CAD and MI are still poorly understood. One of those pathogenic mechanisms might be the dysregulation of intracellular signaling pathways in the immune cells.<br>In the present study we performed a transcriptome profiling in peripheral blood mononuclear cells of MI patients and healthy individuals. The machine learning algorithm was then used to search for  MI-associated signatures, that could reflect the dysregulation of intracellular signaling pathways and be assisted in MI diagnosis and/or prognosis.<br>ADAP2, KLRC1, MIR21, PDGFD and CD14 genes were identified as the most important signatures for the classification model with L1-norm penalty function. The classifier output quality was equal to 0.911 by Receiver Operating Characteristic metric on test data. These results were validated on two independent open GEO datasets.<br></td>

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<tr valign="top"><td nowrap="">&nbsp;</td>

<td></td>

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<tr valign="top"><td nowrap="">Overall design</td>

<td style="text-align: justify">6 patients with myocardial infarction (MI) were analyzed vs 6 healty patients<br></td>

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<tr valign="top"><td nowrap="">&nbsp;</td>

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<tr valign="top"><td>Contributor(s)</td>

<td><a href="/pubmed/?term=Osmak G[Author]">Osmak G</a>, <a href="/pubmed/?term=Baulina N[Author]">Baulina N</a>, <a href="/pubmed/?term=Koshkin P[Author]">Koshkin P</a>, <a href="/pubmed/?term=Favorova O[Author]">Favorova O</a></td>

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<tr valign="top"><td nowrap="">Citation(s)</td>

<td><span class="pubmed_id" id="32517814"><!--?xml version="1.0" encoding="UTF-8"?-->

<div class="PubmedCitation"><ul><li><span class="authors">Osmak G, Baulina N, Koshkin P, Favorova O. </span><span class="title">Collapsing the list of myocardial infarction-related differentially expressed genes into a diagnostic signature. </span><span class="source">J Transl Med</span> 2020 Jun 9;18(1):231. PMID:&nbsp;<a title="Link to PubMed record" href="https://www.ncbi.nlm.nih.gov/pubmed/32517814">32517814</a></li></ul></div>

</span></td>

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<td>Dec 05, 2019</td>

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<tr bgcolor="#eeeeee" valign="top"><td>Last update date</td>

<td>Jun 16, 2020</td>

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<tr bgcolor="#eeeeee" valign="top"><td>Contact name</td>

<td>German Osmak</td>

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<tr bgcolor="#eeeeee" valign="top"><td nowrap="">E-mail(s)</td>

<td><a href="mailto:german.osmak@gmail.com">german.osmak@gmail.com</a><br></td>

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<tr bgcolor="#eeeeee" valign="top"><td nowrap="">Organization name</td>

<td style="text-align: justify">National Medical Research Center for Cardiology<br></td>

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<tr bgcolor="#eeeeee" valign="top"><td nowrap="">Street address</td>

<td style="text-align: justify">3-ya Cherepkovskaya<br></td>

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<tr bgcolor="#eeeeee" valign="top"><td nowrap="">City</td>

<td style="text-align: justify">Moscow</td>

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<tr bgcolor="#eeeeee" valign="top"><td nowrap="">ZIP/Postal code</td>

<td style="text-align: justify">121552</td>

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<tr bgcolor="#eeeeee" valign="top"><td nowrap="">Country</td>

<td style="text-align: justify">Russia</td>

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<tr valign="top"><td nowrap="">&nbsp;</td>

<td></td>

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<tr valign="top"><td>Platforms (1)</td>

<td onmouseout="onLinkOut('HelpMessage' , geo_empty_help)" onmouseover="onLinkOver('HelpMessage' , geoaxema_recenter)"><table cellpadding="3" style="position:relative;top:-5px;left:-5px"><tbody><tr><td valign="top"><a href="/geo/query/acc.cgi?acc=GPL17586" onmouseout="onLinkOut('HelpMessage' , geo_empty_help)" onmouseover="onLinkOver('HelpMessage' , geoaxema_recenter)">GPL17586</a></td>

<td valign="top">[HTA-2_0] Affymetrix Human Transcriptome Array 2.0 [transcript (gene) version]</td>

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