<?xml version="1.0" encoding="UTF-8" standalone="yes"?><?xml-stylesheet type="text/xsl" href="/oai-pmh-repository/static/oai2.xsl"?>
<OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd">
    <responseDate>2026-10-13T21:02:27Z</responseDate>
    <request verb="GetRecord" identifier="oai:data.mendeley.com/ngx8m48vxf.1" metadataPrefix="oai_dc">https://data.mendeley.com/oai</request>
    <GetRecord>
        <record>
            <header>
                <identifier>oai:data.mendeley.com/ngx8m48vxf.1</identifier>
                <datestamp>2022-02-10T11:40:51Z</datestamp>
            </header>
            <metadata><oai_dc:dc xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
    <dc:creator>Vai, Benedetta</dc:creator>
    <dc:title>Higher Interleukin 13 differentiates patients with a positive history of suicide attempts in major depressive disorder</dc:title>
    <dc:publisher>San Raffaele Open Research Data Repository</dc:publisher>
    <dc:description>Every 40 seconds one person dies from suicide worldwide, half of which are related to depression. Neuroinflammation has been reported in neuropsychiatricconditions, including major depressive disorder (MDD). Preliminary findings suggested a link between inflammation and suicidal behavior. Nevertheless,to the best of our knowledge, no previous study explored how a wide range of cytokines may differentiate lifetime suicidal behaviors (i.e. positive history of suicide attempts) in patients affected by MDD. In 28 healthy controls (HC), 28 MDD patients with a positive history of attempting suicide (SA), and 28 MDD patients with a negative history (nSA), we
determined concentrations of immune analytes using an ultra-sensitive Pro Human Cytokine Group 27-Plex Panel and Chemokine immunoassay panels (Bioplex). To deal with the 27 highly correlated cytokines we applied two different statistical approaches that reduce the dimensionality of data: Principal Component Analysis, exploring if suicidality may be related to a comprehensive derived inflammatory state, and elastic-net penalized regression that allows considering as predictor every single cytokine.
Biological data are not uploaded due to ethical restrictions.
https://doi.org/10.1016/j.jadr.2021.100254</dc:description>
    <dc:subject>Inflammation</dc:subject>
    <dc:subject>Machine Learning</dc:subject>
    <dc:subject>Suicide</dc:subject>
    <dc:subject>Mood Disorder</dc:subject>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/ngx8m48vxf.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/ngx8m48vxf.1</dc:identifier>
    <dc:rights>Creative Commons Attribution 4.0 International</dc:rights>
    <dc:rights>http://creativecommons.org/licenses/by/4.0</dc:rights>
    <dc:relation>https://ordr.hsr.it/datasets/ngx8m48vxf</dc:relation>
    <dc:date>2022-02-10T11:40:51Z</dc:date>
</oai_dc:dc></metadata>
        </record>
    </GetRecord>
</OAI-PMH>
