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<title xml:lang="en">Colchicine Acutely Suppresses Local Cardiac Production of Inflammatory Cytokines in Patients With an Acute Coronary Syndrome</title>
<author>
<name sortKey="Martinez, Gonzalo J" sort="Martinez, Gonzalo J" uniqKey="Martinez G" first="Gonzalo J" last="Martínez">Gonzalo J. Martínez</name>
<affiliation>
<nlm:aff id="au1">
<institution>Department of Cardiology, Royal Prince Alfred Hospital</institution>
<addr-line>Sydney, New South Wales, Australia</addr-line>
</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="au2">
<institution>Sydney Medical School, The University of Sydney</institution>
<addr-line>New South Wales, Australia</addr-line>
</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="au3">
<institution>Department of Cardiology, Catholic University School of Medicine</institution>
<addr-line>Santiago, Chile</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Robertson, Stacy" sort="Robertson, Stacy" uniqKey="Robertson S" first="Stacy" last="Robertson">Stacy Robertson</name>
<affiliation>
<nlm:aff id="au2">
<institution>Sydney Medical School, The University of Sydney</institution>
<addr-line>New South Wales, Australia</addr-line>
</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="au4">
<institution>Heart Research Institute</institution>
<addr-line>Sydney, New South Wales, Australia</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Barraclough, Jennifer" sort="Barraclough, Jennifer" uniqKey="Barraclough J" first="Jennifer" last="Barraclough">Jennifer Barraclough</name>
<affiliation>
<nlm:aff id="au1">
<institution>Department of Cardiology, Royal Prince Alfred Hospital</institution>
<addr-line>Sydney, New South Wales, Australia</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Xia, Qiong" sort="Xia, Qiong" uniqKey="Xia Q" first="Qiong" last="Xia">Qiong Xia</name>
<affiliation>
<nlm:aff id="au2">
<institution>Sydney Medical School, The University of Sydney</institution>
<addr-line>New South Wales, Australia</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Mallat, Ziad" sort="Mallat, Ziad" uniqKey="Mallat Z" first="Ziad" last="Mallat">Ziad Mallat</name>
<affiliation>
<nlm:aff id="au5">
<institution>Institut National de la Santé et de la Recherche Médicale (INSERM), Paris-Cardiovascular Research Center</institution>
<addr-line>Paris, France</addr-line>
</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="au6">
<institution>Division of Cardiovascular Medicine, Addenbrooke’s Hospital, University of Cambridge</institution>
<addr-line>United Kingdom</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Bursill, Christina" sort="Bursill, Christina" uniqKey="Bursill C" first="Christina" last="Bursill">Christina Bursill</name>
<affiliation>
<nlm:aff id="au2">
<institution>Sydney Medical School, The University of Sydney</institution>
<addr-line>New South Wales, Australia</addr-line>
</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="au4">
<institution>Heart Research Institute</institution>
<addr-line>Sydney, New South Wales, Australia</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Celermajer, David S" sort="Celermajer, David S" uniqKey="Celermajer D" first="David S" last="Celermajer">David S. Celermajer</name>
<affiliation>
<nlm:aff id="au1">
<institution>Department of Cardiology, Royal Prince Alfred Hospital</institution>
<addr-line>Sydney, New South Wales, Australia</addr-line>
</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="au2">
<institution>Sydney Medical School, The University of Sydney</institution>
<addr-line>New South Wales, Australia</addr-line>
</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="au4">
<institution>Heart Research Institute</institution>
<addr-line>Sydney, New South Wales, Australia</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Patel, Sanjay" sort="Patel, Sanjay" uniqKey="Patel S" first="Sanjay" last="Patel">Sanjay Patel</name>
<affiliation>
<nlm:aff id="au1">
<institution>Department of Cardiology, Royal Prince Alfred Hospital</institution>
<addr-line>Sydney, New South Wales, Australia</addr-line>
</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="au2">
<institution>Sydney Medical School, The University of Sydney</institution>
<addr-line>New South Wales, Australia</addr-line>
</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="au4">
<institution>Heart Research Institute</institution>
<addr-line>Sydney, New South Wales, Australia</addr-line>
</nlm:aff>
</affiliation>
</author>
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<idno type="wicri:source">PMC</idno>
<idno type="pmid">26304941</idno>
<idno type="pmc">4599469</idno>
<idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4599469</idno>
<idno type="RBID">PMC:4599469</idno>
<idno type="doi">10.1161/JAHA.115.002128</idno>
<date when="2015">2015</date>
<idno type="wicri:Area/Pmc/Corpus">000283</idno>
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<analytic>
<title xml:lang="en" level="a" type="main">Colchicine Acutely Suppresses Local Cardiac Production of Inflammatory Cytokines in Patients With an Acute Coronary Syndrome</title>
<author>
<name sortKey="Martinez, Gonzalo J" sort="Martinez, Gonzalo J" uniqKey="Martinez G" first="Gonzalo J" last="Martínez">Gonzalo J. Martínez</name>
<affiliation>
<nlm:aff id="au1">
<institution>Department of Cardiology, Royal Prince Alfred Hospital</institution>
<addr-line>Sydney, New South Wales, Australia</addr-line>
</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="au2">
<institution>Sydney Medical School, The University of Sydney</institution>
<addr-line>New South Wales, Australia</addr-line>
</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="au3">
<institution>Department of Cardiology, Catholic University School of Medicine</institution>
<addr-line>Santiago, Chile</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Robertson, Stacy" sort="Robertson, Stacy" uniqKey="Robertson S" first="Stacy" last="Robertson">Stacy Robertson</name>
<affiliation>
<nlm:aff id="au2">
<institution>Sydney Medical School, The University of Sydney</institution>
<addr-line>New South Wales, Australia</addr-line>
</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="au4">
<institution>Heart Research Institute</institution>
<addr-line>Sydney, New South Wales, Australia</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Barraclough, Jennifer" sort="Barraclough, Jennifer" uniqKey="Barraclough J" first="Jennifer" last="Barraclough">Jennifer Barraclough</name>
<affiliation>
<nlm:aff id="au1">
<institution>Department of Cardiology, Royal Prince Alfred Hospital</institution>
<addr-line>Sydney, New South Wales, Australia</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Xia, Qiong" sort="Xia, Qiong" uniqKey="Xia Q" first="Qiong" last="Xia">Qiong Xia</name>
<affiliation>
<nlm:aff id="au2">
<institution>Sydney Medical School, The University of Sydney</institution>
<addr-line>New South Wales, Australia</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Mallat, Ziad" sort="Mallat, Ziad" uniqKey="Mallat Z" first="Ziad" last="Mallat">Ziad Mallat</name>
<affiliation>
<nlm:aff id="au5">
<institution>Institut National de la Santé et de la Recherche Médicale (INSERM), Paris-Cardiovascular Research Center</institution>
<addr-line>Paris, France</addr-line>
</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="au6">
<institution>Division of Cardiovascular Medicine, Addenbrooke’s Hospital, University of Cambridge</institution>
<addr-line>United Kingdom</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Bursill, Christina" sort="Bursill, Christina" uniqKey="Bursill C" first="Christina" last="Bursill">Christina Bursill</name>
<affiliation>
<nlm:aff id="au2">
<institution>Sydney Medical School, The University of Sydney</institution>
<addr-line>New South Wales, Australia</addr-line>
</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="au4">
<institution>Heart Research Institute</institution>
<addr-line>Sydney, New South Wales, Australia</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Celermajer, David S" sort="Celermajer, David S" uniqKey="Celermajer D" first="David S" last="Celermajer">David S. Celermajer</name>
<affiliation>
<nlm:aff id="au1">
<institution>Department of Cardiology, Royal Prince Alfred Hospital</institution>
<addr-line>Sydney, New South Wales, Australia</addr-line>
</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="au2">
<institution>Sydney Medical School, The University of Sydney</institution>
<addr-line>New South Wales, Australia</addr-line>
</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="au4">
<institution>Heart Research Institute</institution>
<addr-line>Sydney, New South Wales, Australia</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Patel, Sanjay" sort="Patel, Sanjay" uniqKey="Patel S" first="Sanjay" last="Patel">Sanjay Patel</name>
<affiliation>
<nlm:aff id="au1">
<institution>Department of Cardiology, Royal Prince Alfred Hospital</institution>
<addr-line>Sydney, New South Wales, Australia</addr-line>
</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="au2">
<institution>Sydney Medical School, The University of Sydney</institution>
<addr-line>New South Wales, Australia</addr-line>
</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="au4">
<institution>Heart Research Institute</institution>
<addr-line>Sydney, New South Wales, Australia</addr-line>
</nlm:aff>
</affiliation>
</author>
</analytic>
<series>
<title level="j">Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease</title>
<idno type="ISSN">2047-9980</idno>
<idno type="eISSN">2047-9980</idno>
<imprint>
<date when="2015">2015</date>
</imprint>
</series>
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<front>
<div type="abstract" xml:lang="en">
<sec>
<title>Background</title>
<p>Interleukin (IL)-1β, IL-18, and downstream IL-6 are key inflammatory cytokines in the pathogenesis of coronary artery disease. Colchicine is believed to block the NLRP3 inflammasome, a cytosolic complex responsible for the production of IL-1β and IL-18. In vivo effects of colchicine on cardiac cytokine release have not been previously studied. This study aimed to (1) assess the local cardiac production of inflammatory cytokines in patients with acute coronary syndromes (ACS), stable coronary artery disease and in controls; and (2) determine whether acute administration of colchicine inhibits their production.</p>
</sec>
<sec>
<title>Methods and Results</title>
<p>Forty ACS patients, 33 with stable coronary artery disease, and 10 controls, were included. ACS and stable coronary artery disease patients were randomized to oral colchicine treatment (1 mg followed by 0.5 mg 1 hour later) or no colchicine, 6 to 24 hours prior to cardiac catheterization. Blood samples from the coronary sinus, aortic root (arterial), and lower right atrium (venous) were collected and tested for IL-1β, IL-18, and IL-6 using ELISA. In ACS patients, coronary sinus levels of IL-1β, IL-18, and IL-6 were significantly higher than arterial and venous levels (
<italic>P</italic>
=0.017, <0.001 and <0.001, respectively). Transcoronary (coronary sinus-arterial) gradients for IL-1β, IL-18, and IL-6 were highest in ACS patients and lowest in controls (
<italic>P</italic>
=0.077, 0.033, and 0.014, respectively). Colchicine administration significantly reduced transcoronary gradients of all 3 cytokines in ACS patients by 40% to 88% (
<italic>P</italic>
=0.028, 0.032, and 0.032, for IL-1β, IL-18, and IL-6, respectively).</p>
</sec>
<sec>
<title>Conclusions</title>
<p>ACS patients exhibit increased local cardiac production of inflammatory cytokines. Short-term colchicine administration rapidly and significantly reduces levels of these cytokines.</p>
</sec>
</div>
</front>
<back>
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</TEI>
<pmc article-type="research-article">
<pmc-dir>properties open_access</pmc-dir>
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">J Am Heart Assoc</journal-id>
<journal-id journal-id-type="iso-abbrev">J Am Heart Assoc</journal-id>
<journal-id journal-id-type="publisher-id">jah3</journal-id>
<journal-title-group>
<journal-title>Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease</journal-title>
</journal-title-group>
<issn pub-type="ppub">2047-9980</issn>
<issn pub-type="epub">2047-9980</issn>
<publisher>
<publisher-name>John Wiley & Sons, Ltd</publisher-name>
<publisher-loc>Chichester, UK</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="pmid">26304941</article-id>
<article-id pub-id-type="pmc">4599469</article-id>
<article-id pub-id-type="doi">10.1161/JAHA.115.002128</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Colchicine Acutely Suppresses Local Cardiac Production of Inflammatory Cytokines in Patients With an Acute Coronary Syndrome</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Martínez</surname>
<given-names>Gonzalo J</given-names>
</name>
<degrees>MD</degrees>
<xref ref-type="aff" rid="au1">1</xref>
<xref ref-type="aff" rid="au2">2</xref>
<xref ref-type="aff" rid="au3">3</xref>
<xref ref-type="author-notes" rid="fn1">*</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Robertson</surname>
<given-names>Stacy</given-names>
</name>
<degrees>PhD</degrees>
<xref ref-type="aff" rid="au2">2</xref>
<xref ref-type="aff" rid="au4">4</xref>
<xref ref-type="author-notes" rid="fn1">*</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Barraclough</surname>
<given-names>Jennifer</given-names>
</name>
<degrees>MBBS</degrees>
<xref ref-type="aff" rid="au1">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Xia</surname>
<given-names>Qiong</given-names>
</name>
<degrees>BSc</degrees>
<xref ref-type="aff" rid="au2">2</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Mallat</surname>
<given-names>Ziad</given-names>
</name>
<degrees>MD, PhD</degrees>
<xref ref-type="aff" rid="au5">5</xref>
<xref ref-type="aff" rid="au6">6</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Bursill</surname>
<given-names>Christina</given-names>
</name>
<degrees>PhD</degrees>
<xref ref-type="aff" rid="au2">2</xref>
<xref ref-type="aff" rid="au4">4</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Celermajer</surname>
<given-names>David S</given-names>
</name>
<degrees>MBBS, PhD, DSc</degrees>
<xref ref-type="aff" rid="au1">1</xref>
<xref ref-type="aff" rid="au2">2</xref>
<xref ref-type="aff" rid="au4">4</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Patel</surname>
<given-names>Sanjay</given-names>
</name>
<degrees>MBBS, PhD</degrees>
<xref ref-type="aff" rid="au1">1</xref>
<xref ref-type="aff" rid="au2">2</xref>
<xref ref-type="aff" rid="au4">4</xref>
</contrib>
<aff id="au1">
<label>1</label>
<institution>Department of Cardiology, Royal Prince Alfred Hospital</institution>
<addr-line>Sydney, New South Wales, Australia</addr-line>
</aff>
<aff id="au2">
<label>2</label>
<institution>Sydney Medical School, The University of Sydney</institution>
<addr-line>New South Wales, Australia</addr-line>
</aff>
<aff id="au3">
<label>3</label>
<institution>Department of Cardiology, Catholic University School of Medicine</institution>
<addr-line>Santiago, Chile</addr-line>
</aff>
<aff id="au4">
<label>4</label>
<institution>Heart Research Institute</institution>
<addr-line>Sydney, New South Wales, Australia</addr-line>
</aff>
<aff id="au5">
<label>5</label>
<institution>Institut National de la Santé et de la Recherche Médicale (INSERM), Paris-Cardiovascular Research Center</institution>
<addr-line>Paris, France</addr-line>
</aff>
<aff id="au6">
<label>6</label>
<institution>Division of Cardiovascular Medicine, Addenbrooke’s Hospital, University of Cambridge</institution>
<addr-line>United Kingdom</addr-line>
</aff>
</contrib-group>
<author-notes>
<corresp id="cor1">
<bold>Correspondence to:</bold>
Sanjay Patel, MBBS, PhD, Department of Cardiology, Royal Prince Alfred Hospital, Missenden Rd, Camperdown, Sydney, NSW 2050 Australia. E-mail:
<email>Sanjay.Patel@sswahs.nsw.gov.au</email>
</corresp>
<fn id="fn1">
<label>*</label>
<p>Dr Martínez and Dr Robertson are equal first authors.</p>
</fn>
</author-notes>
<pub-date pub-type="collection">
<month>8</month>
<year>2015</year>
</pub-date>
<pub-date pub-type="epub">
<day>24</day>
<month>8</month>
<year>2015</year>
</pub-date>
<volume>4</volume>
<issue>8</issue>
<elocation-id>e002128</elocation-id>
<history>
<date date-type="received">
<day>13</day>
<month>5</month>
<year>2015</year>
</date>
<date date-type="accepted">
<day>26</day>
<month>6</month>
<year>2015</year>
</date>
</history>
<permissions>
<copyright-statement>© 2015 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley Blackwell.</copyright-statement>
<copyright-year>2015</copyright-year>
<license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by-nc/4.0/">
<license-p>This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Interleukin (IL)-1β, IL-18, and downstream IL-6 are key inflammatory cytokines in the pathogenesis of coronary artery disease. Colchicine is believed to block the NLRP3 inflammasome, a cytosolic complex responsible for the production of IL-1β and IL-18. In vivo effects of colchicine on cardiac cytokine release have not been previously studied. This study aimed to (1) assess the local cardiac production of inflammatory cytokines in patients with acute coronary syndromes (ACS), stable coronary artery disease and in controls; and (2) determine whether acute administration of colchicine inhibits their production.</p>
</sec>
<sec>
<title>Methods and Results</title>
<p>Forty ACS patients, 33 with stable coronary artery disease, and 10 controls, were included. ACS and stable coronary artery disease patients were randomized to oral colchicine treatment (1 mg followed by 0.5 mg 1 hour later) or no colchicine, 6 to 24 hours prior to cardiac catheterization. Blood samples from the coronary sinus, aortic root (arterial), and lower right atrium (venous) were collected and tested for IL-1β, IL-18, and IL-6 using ELISA. In ACS patients, coronary sinus levels of IL-1β, IL-18, and IL-6 were significantly higher than arterial and venous levels (
<italic>P</italic>
=0.017, <0.001 and <0.001, respectively). Transcoronary (coronary sinus-arterial) gradients for IL-1β, IL-18, and IL-6 were highest in ACS patients and lowest in controls (
<italic>P</italic>
=0.077, 0.033, and 0.014, respectively). Colchicine administration significantly reduced transcoronary gradients of all 3 cytokines in ACS patients by 40% to 88% (
<italic>P</italic>
=0.028, 0.032, and 0.032, for IL-1β, IL-18, and IL-6, respectively).</p>
</sec>
<sec>
<title>Conclusions</title>
<p>ACS patients exhibit increased local cardiac production of inflammatory cytokines. Short-term colchicine administration rapidly and significantly reduces levels of these cytokines.</p>
</sec>
</abstract>
<kwd-group>
<kwd>atherosclerosis</kwd>
<kwd>coronary sinus sampling</kwd>
<kwd>cytokines</kwd>
<kwd>inflammation</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<p>Multiple pathways are responsible for inflammation in  acute coronary syndromes.
<xref rid="b1" ref-type="bibr">1</xref>
,
<xref rid="b2" ref-type="bibr">2</xref>
Monocytes/macrophages are key effector cells in atherosclerosis-associated inflammation, leading to both plaque progression and instability.
<xref rid="b3" ref-type="bibr">3</xref>
Moreover, it has recently been shown that the nucleotide-binding oligomerization domain-like receptors, pyrin domain-containing 3 (NLRP3) inflammasome—a cytosolic protein complex that serves as sensor of either pathogen invasion or cellular stress
<xref rid="b4" ref-type="bibr">4</xref>
<xref rid="b6" ref-type="bibr">6</xref>
—promotes caspase-1 activation, and therefore the production of active interleukin (IL)-1β and IL-18, key mediators in atherosclerotic plaque development, progression, and destabilization.
<xref rid="b7" ref-type="bibr">7</xref>
,
<xref rid="b8" ref-type="bibr">8</xref>
Furthermore, this inflammatory milieu leads to increased levels of IL-6 and C-reactive protein (CRP), which significantly correlate with the incidence of future cardiovascular events in patients with atherosclerosis.
<xref rid="b9" ref-type="bibr">9</xref>
,
<xref rid="b10" ref-type="bibr">10</xref>
</p>
<p>Colchicine is a simple, inexpensive, yet potent anti-inflammatory drug that is approved for the management of patients with acute gout, and other inflammatory conditions such as pericarditis.
<xref rid="b11" ref-type="bibr">11</xref>
,
<xref rid="b12" ref-type="bibr">12</xref>
Purported mechanisms of action in leukocytes include its ability to suppress NLRP3 inflammasome
<xref rid="b13" ref-type="bibr">13</xref>
through disruption of microtubule formation,
<xref rid="b14" ref-type="bibr">14</xref>
impairing mitochondrial colocalization of the inflammasome proteins and thus inflammasome activation and cytokine production.</p>
<p>Here, we hypothesize that (1) local coronary production of the inflammasome-specific cytokines IL-1β and IL-18 together with IL-6, a key downstream inflammatory cytokine, will be higher in patients with acute coronary syndromes (ACS) than in patients with stable coronary artery disease (CAD) or subjects without significant CAD; and (2) administration of colchicine to ACS patients will result in lower transcoronary release of these cytokines.</p>
<sec sec-type="methods">
<title>Methods</title>
<p>Consecutive adult patients (>21 years old) with a clinical indication for cardiac catheterization at Royal Prince Alfred Hospital (Sydney, Australia) were invited to participate in the study. According to their clinical presentation they were divided in 3 groups:
<list list-type="order">
<list-item>
<p>ACS—patients with recent-onset chest pain, associated with ST segment and/or T wave ECG changes and/or positive cardiac enzymes (creatine kinase or troponin T). This group included patients with unstable angina as well as non-ST-segment elevation myocardial infarction (as per American College of Cardiology/American Heart Association 2007 guidelines
<xref rid="b15" ref-type="bibr">15</xref>
). </p>
</list-item>
<list-item>
<p>Stable CAD—This group included symptomatic patients with stable angina (chest pain on exertion for >3 months) and asymptomatic patients with positive functional tests and obstructive coronary disease (defined as diameter stenosis >50%). </p>
</list-item>
<list-item>
<p>Controls—patients found to have no significant coronary disease (absence of angiographic evidence of any stenosis >20%). </p>
</list-item>
</list>
</p>
<p>Patients included in the ACS and stable CAD groups were randomized in a 1:1 fashion to receive either colchicine (1 mg, followed by 0.5 mg 1 hour later) or no colchicine therapy, 6 to 24 hours prior to coronary angiography. This dose regimen was chosen in accordance with current recommendations for the treatment of acute gout.
<xref rid="b11" ref-type="bibr">11</xref>
</p>
<p>Patients with the following characteristics were prospectively excluded from the study:
<list list-type="order">
<list-item>
<p>Patients with >50% stenosis in the left main coronary artery </p>
</list-item>
<list-item>
<p>ST elevation myocardial infarction </p>
</list-item>
<list-item>
<p>Cardiogenic shock or hemodynamic instability </p>
</list-item>
<list-item>
<p>Known hypersensitivity to colchicine </p>
</list-item>
<list-item>
<p>Moderate renal dysfunction (creatinine clearance <45 mL/min) or hepatic dysfunction (alanine aminotransferase 1.5× upper limit of normal range) </p>
</list-item>
<list-item>
<p>Thrombocytopenia or leukopenia </p>
</list-item>
<list-item>
<p>Pregnant or lactating women and women at risk of pregnancy </p>
</list-item>
<list-item>
<p>Patients taking moderate-strong CYP3A4 inhibitors </p>
</list-item>
<list-item>
<p>Patients already taking colchicine </p>
</list-item>
<list-item>
<p>Those with evidence of active infection or inflammatory conditions that might be associated with markedly elevated CRP levels in the blood (eg, active rheumatoid arthritis) and those taking other anti-inflammatory therapies (eg, corticosteroids) </p>
</list-item>
</list>
</p>
<p>Demographic and clinical data were recorded. The local Ethics Review Committee approved the study protocol and all patients gave written informed consent before participating.</p>
</sec>
<sec>
<title>Blood Sampling</title>
<p>A standard coronary angiogram was performed in all patients. Subsequently, right femoral vein access was obtained with a 5F sheath and a 5F Simmons catheter was advanced into the right atrium. Our technique to cannulate the coronary sinus (CS) ostium has been detailed previously.
<xref rid="b16" ref-type="bibr">16</xref>
This technique allows for a safe and reliable sampling of the CS blood. Twenty milliliters of blood was drawn from the CS, lower right atrium–inferior vena cava junction (venous), and ascending aorta (arterial). For those patients proceeding to clinically indicated percutaneous coronary intervention, blood sampling was performed immediately after the diagnostic angiogram but before the intervention. All patients received 2500 units of heparin prior to CS sampling; if percutaneous coronary intervention was performed, patients received additional heparin aiming for an activated clotting time >250.</p>
</sec>
<sec>
<title>Detection of IL-1β, IL-18, and IL-6 in Plasma</title>
<p>Blood samples were placed into vacuum vials containing EDTA. Samples were immediately centrifuged and plasma was collected and stored at −80°C. Plasma IL-1β, IL-18, and IL-6 concentrations were measured by highly sensitive ELISA using the specific antibodies (IL-1β and IL-6: R&D Systems, Minneapolis, MN; IL-18: Medical and Biological Laboratories, Woburn, MA). The protocols used were those recommended by the antisera suppliers. For IL-1β, IL-18, and IL-6 the minimum detection limit were 1, 12.5, and 0.70 pg/mL, respectively, and inter- and intra-assay coefficient of variances were <10% for each assay.</p>
</sec>
<sec>
<title>Statistical Analysis</title>
<p>Continuous variables are reported as mean± SD or SEM and categorical variables as number (percentage). Normal distribution was tested by the Shapiro–Wilk test. Differences in continuous variables (eg, IL-1β concentration) were tested via the use of an independent-samples
<italic>t</italic>
test or nonparametric test for non-normally distributed data (Mann–Whitney
<italic>U</italic>
test), while proportional differences in categorical variables (eg, patient did or did not have hypertension) were tested via the use of Fisher’s Exact Test. Multiple, nonpaired samples were tested with 1-way ANOVA or Kruskal–Wallis test and multiple paired samples with Friedman test. All tests were 2-tailed with the acceptable type 1 error set at
<italic>P</italic>
<0.05. Statistical analysis was performed with SPSS 21 software (IBM, Armonk, NY) and figures were created with GraphPad Prism 6.0 (GraphPad Software, La Jolla, CA).</p>
</sec>
<sec sec-type="results">
<title>Results</title>
<p>From September 2013 to August 2014, 83 patients were included in the study. Of these, 40 patients presented with an ACS, 33 patients with stable CAD, and 10 patients had no angiographically significant CAD and served as controls. Within the ACS group, 21 patients were randomized to colchicine treatment and 19 individuals to “no treatment.” In the stable CAD group, 7 nontreated patients were initially studied, while sampling techniques were being optimized, after which 26 patients were randomized to colchicine or no therapy. The initial 7 patients were included in the final analysis, with 13 colchicine-treated patients and 20 untreated patients.</p>
<sec>
<title>Baseline Characteristics</title>
<p>Baseline characteristics for ACS, stable CAD, and control groups and characteristics by colchicine treatment randomization groups are presented in Tables
<xref ref-type="table" rid="tbl1">1</xref>
and
<xref ref-type="table" rid="tbl2">2</xref>
. Groups were comparable for most risk factors, treatments, and blood test results. However, within the ACS group, those allocated to colchicine treatment were more likely to have been diabetic (
<italic>P</italic>
=0.04) and therefore more likely to be taking oral hypoglycemics (
<italic>P</italic>
=0.02). In the stable CAD group there was a trend to more diabetics in the colchicine-treated group, although this was not statistically significant (
<italic>P</italic>
=0.06).</p>
<table-wrap id="tbl1" position="float">
<label>Table 1</label>
<caption>
<p>Baseline Characteristics for ACS, Stable CAD, and Control Groups</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th rowspan="1" colspan="1"></th>
<th align="left" rowspan="1" colspan="1">ACS</th>
<th align="left" rowspan="1" colspan="1">Stable CAD</th>
<th align="left" rowspan="1" colspan="1">Controls</th>
<th align="left" rowspan="1" colspan="1">
<italic>P</italic>
Value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" rowspan="1" colspan="1">Number</td>
<td align="left" rowspan="1" colspan="1">40</td>
<td align="left" rowspan="1" colspan="1">33</td>
<td align="left" rowspan="1" colspan="1">10</td>
<td align="left" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Age, y—mean (SD)</td>
<td align="left" rowspan="1" colspan="1">64.5 (10.2)</td>
<td align="left" rowspan="1" colspan="1">61.1 (10.3)</td>
<td align="left" rowspan="1" colspan="1">61.3 (6.7)</td>
<td align="left" rowspan="1" colspan="1">0.32</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Female (%)</td>
<td align="left" rowspan="1" colspan="1">3 (8)</td>
<td align="left" rowspan="1" colspan="1">3 (9)</td>
<td align="left" rowspan="1" colspan="1">3 (30)</td>
<td align="left" rowspan="1" colspan="1">0.29</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Diabetes mellitus (%)</td>
<td align="left" rowspan="1" colspan="1">13 (33)</td>
<td align="left" rowspan="1" colspan="1">13 (39)</td>
<td align="left" rowspan="1" colspan="1">2 (20)</td>
<td align="left" rowspan="1" colspan="1">0.42</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Hypertension (%)</td>
<td align="left" rowspan="1" colspan="1">27 (68)</td>
<td align="left" rowspan="1" colspan="1">19 (58)</td>
<td align="left" rowspan="1" colspan="1">3 (30)</td>
<td align="left" rowspan="1" colspan="1">0.06</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Dyslipidemia (%)</td>
<td align="left" rowspan="1" colspan="1">27 (68)</td>
<td align="left" rowspan="1" colspan="1">23 (70)</td>
<td align="left" rowspan="1" colspan="1">5 (50)</td>
<td align="left" rowspan="1" colspan="1">0.68</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Current smoker (%)</td>
<td align="left" rowspan="1" colspan="1">10 (25)</td>
<td align="left" rowspan="1" colspan="1">6 (18)</td>
<td align="left" rowspan="1" colspan="1">3 (30)</td>
<td align="left" rowspan="1" colspan="1">0.70</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Previous MI (%)</td>
<td align="left" rowspan="1" colspan="1">7 (18)</td>
<td align="left" rowspan="1" colspan="1">10 (30)</td>
<td align="left" rowspan="1" colspan="1">1 (10)</td>
<td align="left" rowspan="1" colspan="1">0.28</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Previous PCI (%)</td>
<td align="left" rowspan="1" colspan="1">7 (18)</td>
<td align="left" rowspan="1" colspan="1">9 (27)</td>
<td align="left" rowspan="1" colspan="1">0 (0)</td>
<td align="left" rowspan="1" colspan="1">0.17</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Previous CABG (%)</td>
<td align="left" rowspan="1" colspan="1">1 (3)</td>
<td align="left" rowspan="1" colspan="1">6 (18)</td>
<td align="left" rowspan="1" colspan="1">0 (0)</td>
<td align="left" rowspan="1" colspan="1">0.05</td>
</tr>
<tr>
<td align="left" colspan="5" rowspan="1">Medications</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Aspirin (%)</td>
<td align="left" rowspan="1" colspan="1">40 (100)</td>
<td align="left" rowspan="1" colspan="1">33 (100)</td>
<td align="left" rowspan="1" colspan="1">8 (80)</td>
<td align="left" rowspan="1" colspan="1">0.134</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Thienopyridines (%)</td>
<td align="left" rowspan="1" colspan="1">38 (95)</td>
<td align="left" rowspan="1" colspan="1">26 (79)</td>
<td align="left" rowspan="1" colspan="1">6 (60)</td>
<td align="left" rowspan="1" colspan="1">0.017</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> β-Blockers (%)</td>
<td align="left" rowspan="1" colspan="1">30 (75)</td>
<td align="left" rowspan="1" colspan="1">17 (52)</td>
<td align="left" rowspan="1" colspan="1">3 (30)</td>
<td align="left" rowspan="1" colspan="1">0.023</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> ACE-I/ARA-2 (%)</td>
<td align="left" rowspan="1" colspan="1">25 (63)</td>
<td align="left" rowspan="1" colspan="1">20 (61)</td>
<td align="left" rowspan="1" colspan="1">4 (40)</td>
<td align="left" rowspan="1" colspan="1">0.331</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Statins (%)</td>
<td align="left" rowspan="1" colspan="1">36 (90)</td>
<td align="left" rowspan="1" colspan="1">27 (82)</td>
<td align="left" rowspan="1" colspan="1">7 (70)</td>
<td align="left" rowspan="1" colspan="1">0.115</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Hypoglycemics (%)</td>
<td align="left" rowspan="1" colspan="1">12 (30)</td>
<td align="left" rowspan="1" colspan="1">12 (36)</td>
<td align="left" rowspan="1" colspan="1">1 (10)</td>
<td align="left" rowspan="1" colspan="1">0.231</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Insulin (%)</td>
<td align="left" rowspan="1" colspan="1">3 (8)</td>
<td align="left" rowspan="1" colspan="1">2 (6)</td>
<td align="left" rowspan="1" colspan="1">0 (0)</td>
<td align="left" rowspan="1" colspan="1">1</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tf1-1">
<p>ACE-I indicates angiotensin-converting enzyme inhibitors; ACS, acute coronary syndrome; ARA-2, angiotensin 2 receptor antagonist; CABG, coronary artery bypass graft surgery; MI, myocardial infarction; PCI, percutaneous coronary intervention; CAD, coronary artery disease.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tbl2" position="float">
<label>Table 2</label>
<caption>
<p>Baseline Characteristics for ACS and Stable CAD Groups, by Colchicine Administration</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th rowspan="1" colspan="1"></th>
<th align="left" colspan="3" rowspan="1">ACS (n=40)</th>
<th align="left" colspan="3" rowspan="1">Stable CAD (n=33)</th>
</tr>
<tr>
<th rowspan="1" colspan="1"></th>
<th align="left" rowspan="1" colspan="1">Colchicine</th>
<th align="left" rowspan="1" colspan="1">No Colchicine</th>
<th align="left" rowspan="1" colspan="1">
<italic>P</italic>
Value
<xref ref-type="table-fn" rid="tf2-2">*</xref>
</th>
<th align="left" rowspan="1" colspan="1">Colchicine</th>
<th align="left" rowspan="1" colspan="1">No Colchicine</th>
<th align="left" rowspan="1" colspan="1">
<italic>P</italic>
Value
<xref ref-type="table-fn" rid="tf2-3"></xref>
</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" rowspan="1" colspan="1">Number</td>
<td align="left" rowspan="1" colspan="1">21</td>
<td align="left" rowspan="1" colspan="1">19</td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">13</td>
<td align="left" rowspan="1" colspan="1">20</td>
<td align="left" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Age, y—mean (SD)</td>
<td align="left" rowspan="1" colspan="1">65.0 (8.9)</td>
<td align="left" rowspan="1" colspan="1">64.0 (11.7)</td>
<td align="left" rowspan="1" colspan="1">0.76</td>
<td align="left" rowspan="1" colspan="1">59.9 (11.3)</td>
<td align="left" rowspan="1" colspan="1">61.8 (10.0)</td>
<td align="left" rowspan="1" colspan="1">0.63</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Female (%)</td>
<td align="left" rowspan="1" colspan="1">3 (14)</td>
<td align="left" rowspan="1" colspan="1">0 (0)</td>
<td align="left" rowspan="1" colspan="1">0.23</td>
<td align="left" rowspan="1" colspan="1">1 (8)</td>
<td align="left" rowspan="1" colspan="1">2 (10)</td>
<td align="left" rowspan="1" colspan="1">1</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Diabetes mellitus (%)</td>
<td align="left" rowspan="1" colspan="1">10 (48)</td>
<td align="left" rowspan="1" colspan="1">3 (16)</td>
<td align="left" rowspan="1" colspan="1">0.04</td>
<td align="left" rowspan="1" colspan="1">8 (62)</td>
<td align="left" rowspan="1" colspan="1">5 (25)</td>
<td align="left" rowspan="1" colspan="1">0.06</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Hypertension (%)</td>
<td align="left" rowspan="1" colspan="1">13 (62)</td>
<td align="left" rowspan="1" colspan="1">14 (74)</td>
<td align="left" rowspan="1" colspan="1">0.51</td>
<td align="left" rowspan="1" colspan="1">8 (62)</td>
<td align="left" rowspan="1" colspan="1">11 (55)</td>
<td align="left" rowspan="1" colspan="1">0.71</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Dyslipidemia (%)</td>
<td align="left" rowspan="1" colspan="1">13 (62)</td>
<td align="left" rowspan="1" colspan="1">14 (74)</td>
<td align="left" rowspan="1" colspan="1">0.51</td>
<td align="left" rowspan="1" colspan="1">11 (85)</td>
<td align="left" rowspan="1" colspan="1">12 (60)</td>
<td align="left" rowspan="1" colspan="1">1</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Current smoker (%)</td>
<td align="left" rowspan="1" colspan="1">6 (29)</td>
<td align="left" rowspan="1" colspan="1">4 (21)</td>
<td align="left" rowspan="1" colspan="1">0.72</td>
<td align="left" rowspan="1" colspan="1">1 (8)</td>
<td align="left" rowspan="1" colspan="1">5 (25)</td>
<td align="left" rowspan="1" colspan="1">0.63</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Previous MI (%)</td>
<td align="left" rowspan="1" colspan="1">2 (10)</td>
<td align="left" rowspan="1" colspan="1">5 (26)</td>
<td align="left" rowspan="1" colspan="1">0.23</td>
<td align="left" rowspan="1" colspan="1">6 (46)</td>
<td align="left" rowspan="1" colspan="1">4 (20)</td>
<td align="left" rowspan="1" colspan="1">0.23</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Previous PCI (%)</td>
<td align="left" rowspan="1" colspan="1">3 (14)</td>
<td align="left" rowspan="1" colspan="1">4 (21)</td>
<td align="left" rowspan="1" colspan="1">0.69</td>
<td align="left" rowspan="1" colspan="1">1 (8)</td>
<td align="left" rowspan="1" colspan="1">8 (40)</td>
<td align="left" rowspan="1" colspan="1">0.19</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Previous CABG (%)</td>
<td align="left" rowspan="1" colspan="1">0 (0)</td>
<td align="left" rowspan="1" colspan="1">1 (5)</td>
<td align="left" rowspan="1" colspan="1">0.48</td>
<td align="left" rowspan="1" colspan="1">2 (15)</td>
<td align="left" rowspan="1" colspan="1">4 (20)</td>
<td align="left" rowspan="1" colspan="1">1</td>
</tr>
<tr>
<td align="left" colspan="7" rowspan="1">Medications</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Aspirin (%)</td>
<td align="left" rowspan="1" colspan="1">21 (100)</td>
<td align="left" rowspan="1" colspan="1">19 (100)</td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">13 (100)</td>
<td align="left" rowspan="1" colspan="1">20 (100)</td>
<td align="left" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Thienopyridines (%)</td>
<td align="left" rowspan="1" colspan="1">20 (95)</td>
<td align="left" rowspan="1" colspan="1">18 (95)</td>
<td align="left" rowspan="1" colspan="1">1</td>
<td align="left" rowspan="1" colspan="1">11 (85)</td>
<td align="left" rowspan="1" colspan="1">15 (75)</td>
<td align="left" rowspan="1" colspan="1">1</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> β-Blockers (%)</td>
<td align="left" rowspan="1" colspan="1">16 (76)</td>
<td align="left" rowspan="1" colspan="1">14 (74)</td>
<td align="left" rowspan="1" colspan="1">1</td>
<td align="left" rowspan="1" colspan="1">7 (54)</td>
<td align="left" rowspan="1" colspan="1">10 (50)</td>
<td align="left" rowspan="1" colspan="1">1</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> ACE-I/ARA-2 (%)</td>
<td align="left" rowspan="1" colspan="1">11 (52)</td>
<td align="left" rowspan="1" colspan="1">14 (74)</td>
<td align="left" rowspan="1" colspan="1">0.20</td>
<td align="left" rowspan="1" colspan="1">9 (69)</td>
<td align="left" rowspan="1" colspan="1">11 (55)</td>
<td align="left" rowspan="1" colspan="1">0.44</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Statins (%)</td>
<td align="left" rowspan="1" colspan="1">19 (91)</td>
<td align="left" rowspan="1" colspan="1">17 (89)</td>
<td align="left" rowspan="1" colspan="1">1</td>
<td align="left" rowspan="1" colspan="1">11 (85)</td>
<td align="left" rowspan="1" colspan="1">16 (80)</td>
<td align="left" rowspan="1" colspan="1">1</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Hypoglycemics (%)</td>
<td align="left" rowspan="1" colspan="1">10 (48)</td>
<td align="left" rowspan="1" colspan="1">2 (11)</td>
<td align="left" rowspan="1" colspan="1">0.02</td>
<td align="left" rowspan="1" colspan="1">7 (54)</td>
<td align="left" rowspan="1" colspan="1">5 (25)</td>
<td align="left" rowspan="1" colspan="1">0.24</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Insulin (%)</td>
<td align="left" rowspan="1" colspan="1">1 (5)</td>
<td align="left" rowspan="1" colspan="1">2 (11)</td>
<td align="left" rowspan="1" colspan="1">0.59</td>
<td align="left" rowspan="1" colspan="1">1 (8)</td>
<td align="left" rowspan="1" colspan="1">1 (5)</td>
<td align="left" rowspan="1" colspan="1">1</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tf2-1">
<p>ACE-I indicates angiotensin-converting enzyme inhibitors; ACS, acute coronary syndrome; ARA-2, angiotensin 2 receptor antagonist; CABG, coronary artery bypass graft surgery; MI, myocardial infarction; PCI, percutaneous coronary intervention; CAD, coronary artery disease.</p>
</fn>
<fn id="tf2-2">
<label>*</label>
<p>Difference between colchicine vs. no colchicine within ACS group.</p>
</fn>
<fn id="tf2-3">
<label></label>
<p>Difference between colchicine vs. no colchicine within stable CAD group.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Interleukin-1β</title>
<p>In ACS colchicine-naïve patients, CS IL-1β levels were significantly higher than arterial and venous levels (13.42, 9.68, and 9.49 pg/mL, for CS, arterial and venous, respectively;
<italic>P</italic>
=0.017) (
<xref ref-type="fig" rid="fig01">Figure 1</xref>
), whereas in stable CAD patients, IL-1β levels were nonsignificantly higher in the CS versus artery and vein (9.29, 8.42, and 8.55 pg/mL, for CS, arterial and venous, respectively;
<italic>P</italic>
=0.058) (
<xref ref-type="fig" rid="fig01">Figure 1A</xref>
). In the control group, there was no difference in IL-1β concentrations between the 3 sampling sites (7.88, 7.93, and 7.75 pg/mL, for CS, arterial and venous, respectively;
<italic>P</italic>
=1). There appeared to be a relationship between IL-1β CS—arterial or transcoronary gradient (a measure of intracardiac production) and clinical category, with the highest gradients found in ACS patients, and lowest in control patients; however, this was not statistically significant (
<italic>P</italic>
=0.077) (
<xref ref-type="fig" rid="fig02">Figure 2A</xref>
). Notably, the CS-arterial (A) gradient from ACS but not stable CAD patients was significantly higher compared to CS-A gradient from control patients (
<italic>P</italic>
=0.028). On the other hand, no difference in the venous concentration of IL-1β was seen between groups (
<italic>P</italic>
=0.611).</p>
<fig id="fig01" position="float">
<label>Figure 1</label>
<caption>
<p>Venous, arterial, and coronary sinus (A) IL-1β, (B) IL-18, and (C) IL-6 concentrations in colchicine-naïve ACS and stable CAD patients. Results expressed as mean and SEM. A indicates arterial; ACS, acute coronary syndrome; CAD, coronary artery disease; CS, coronary sinus; IL, interleukin; V, venous.</p>
</caption>
<graphic xlink:href="jah30004-e002128-f1"></graphic>
</fig>
<fig id="fig02" position="float">
<label>Figure 2</label>
<caption>
<p>Transcoronary gradients and venous concentrations of (A) IL-1β, (B) IL-18, and (C) IL-6 according to clinical presentation. Results expressed as mean and SEM. A indicates arterial; ACS, acute coronary syndrome; CS, coronary sinus; IL, interleukin; V, venous.</p>
</caption>
<graphic xlink:href="jah30004-e002128-f2"></graphic>
</fig>
</sec>
<sec>
<title>Interleukin-18</title>
<p>In both ACS and stable CAD colchicine-naïve groups, CS levels of IL-18 were significantly higher than in the aorta or peripheral vein (ACS: 325.82, 287.64, and 285.11; stable CAD: 346.50, 318.43, and 312.82 pg/mL, for CS, arterial and venous, respectively;
<italic>P</italic>
<0.001 for both comparisons) (
<xref ref-type="fig" rid="fig01">Figure 1B</xref>
), whereas no difference was found in the control group (280.77, 271.30, and 272.31 pg/mL, for CS, arterial and venous, respectively;
<italic>P</italic>
=0.174). In similar fashion to IL-1β, there was a significant relationship between the CS-A gradient and clinical presentation, with highest transcoronary gradients found in ACS patient, and lowest gradients in controls (
<italic>P</italic>
=0.033). However, peripheral venous concentrations of this cytokine did not change across groups (
<xref ref-type="fig" rid="fig02">Figure 2B</xref>
).</p>
</sec>
<sec>
<title>Interleukin-6</title>
<p>In patients with both ACS and stable CAD, there were significantly higher concentrations of this cytokine in the CS (70.13, 21.47, 22.96 pg/mL, for CS, arterial and venous in ACS patients, respectively;
<italic>P</italic>
<0.001; 6.64, 4.44, 3.47 pg/mL, for CS, arterial and venous in stable CAD patients;
<italic>P</italic>
<0.001) (
<xref ref-type="fig" rid="fig01">Figure 1C</xref>
). Both transcoronary concentration gradients and venous concentrations were markedly higher in ACS patients versus stable CAD and control groups (
<italic>P</italic>
=0.014) (
<xref ref-type="fig" rid="fig02">Figure 2C</xref>
).</p>
<p>Of note, no differences in IL-1β
<italic>,</italic>
IL-18, or IL-6 CS or peripheral blood levels were seen between diabetic and nondiabetic patients in both stable and unstable CAD patient groups.</p>
</sec>
<sec>
<title>Effect of Colchicine Treatment on IL-1β, IL-18, and IL-6 Levels</title>
<p>The results for CS and CS-A gradient plasma concentrations of IL-1β, IL-18, and IL-6 in ACS and stable CAD patients according to colchicine treatment are summarized in
<xref ref-type="table" rid="tbl3">Table 3</xref>
. Colchicine treatment reduced absolute CS IL-1β concentration as well as the CS-A gradient in patients with ACS (
<italic>P</italic>
=0.024 and 0.028, respectively) (
<xref ref-type="fig" rid="fig03">Figure 3A</xref>
). These results represented a 33% reduction in the CS plasma concentration of IL-1β with colchicine treatment in ACS patients, in contrast with only a 6% difference in patients with stable CAD (
<italic>P</italic>
<0.001 for the difference in effect between ACS and stable CAD groups). For IL-18, colchicine treatment similarly resulted in a significant reduction in CS-A gradient, again only in the ACS group (
<xref ref-type="fig" rid="fig03">Figure 3B</xref>
). Finally, colchicine therapy in ACS patients resulted in an 88% lower CS concentration of IL-6 (12.79 versus 77.00 pg/mL) and an 83% lower CS-A gradient (6.02 versus 53.90 pg/mL) versus untreated patients (
<italic>P</italic>
=0.004 and 0.032, respectively) (
<xref ref-type="fig" rid="fig03">Figure 3C</xref>
). In stable CAD patients, colchicine treatment was associated with a very low IL-6 transcoronary gradient; however, this was not statistically significant (0.29 pg/mL for colchicine-treated versus 2.20 pg/mL for colchicine naïve versus 1.01 pg/mL for controls,
<italic>P</italic>
=0.057). In contrast to the inflammasome-specific cytokines, IL-6 venous levels did significantly change with colchicine administration (22.86 versus 5.96 versus 2.32 pg/mL for ACS untreated, ACS treated, and control patients,
<italic>P</italic>
=0.011). As there were significantly more diabetic patients in the ACS colchicine group than the ACS noncolchicine group, a sensitivity analysis with adjustment for diabetes and oral hypoglycemic agents was performed. This yielded similar significant differences in cytokine levels between groups. Groups were otherwise well matched with respect to other baseline characteristics.</p>
<table-wrap id="tbl3" position="float">
<label>Table 3</label>
<caption>
<p>Coronary Sinus and Transcoronary Gradient Plasma Concentrations of IL-1β and IL-18, by Colchicine Administration</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th rowspan="1" colspan="1"></th>
<th align="left" colspan="2" rowspan="1">ACS</th>
<th rowspan="1" colspan="1"></th>
<th rowspan="1" colspan="1"></th>
<th align="left" colspan="2" rowspan="1">Stable CAD</th>
<th rowspan="1" colspan="1"></th>
<th rowspan="1" colspan="1"></th>
</tr>
<tr>
<th rowspan="1" colspan="1"></th>
<th align="left" rowspan="1" colspan="1">Colchicine</th>
<th align="left" rowspan="1" colspan="1">No Colchicine</th>
<th align="left" rowspan="1" colspan="1">Controls</th>
<th align="left" rowspan="1" colspan="1">
<italic>P</italic>
Value
<xref ref-type="table-fn" rid="tf3-3"></xref>
</th>
<th align="left" rowspan="1" colspan="1">Colchicine</th>
<th align="left" rowspan="1" colspan="1">No Colchicine</th>
<th align="left" rowspan="1" colspan="1">Controls</th>
<th align="left" rowspan="1" colspan="1">
<italic>P</italic>
Value
<xref ref-type="table-fn" rid="tf3-2">*</xref>
</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" rowspan="1" colspan="1">Number</td>
<td align="left" rowspan="1" colspan="1">21</td>
<td align="left" rowspan="1" colspan="1">19</td>
<td align="left" rowspan="1" colspan="1">10</td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">13</td>
<td align="left" rowspan="1" colspan="1">20</td>
<td align="left" rowspan="1" colspan="1">10</td>
<td align="left" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">CS IL-1β</td>
<td align="left" rowspan="1" colspan="1">8.95 (0.26)</td>
<td align="left" rowspan="1" colspan="1">13.42 (2.59)</td>
<td align="left" rowspan="1" colspan="1">7.88 (0.18)</td>
<td align="left" rowspan="1" colspan="1">0.024</td>
<td align="left" rowspan="1" colspan="1">8.54 (0.38)</td>
<td align="left" rowspan="1" colspan="1">9.29 (0.43)</td>
<td align="left" rowspan="1" colspan="1">7.88 (0.18)</td>
<td align="left" rowspan="1" colspan="1">0.074</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Gradient IL-1β</td>
<td align="left" rowspan="1" colspan="1">0.87 (0.32)</td>
<td align="left" rowspan="1" colspan="1">3.75 (1.87)</td>
<td align="left" rowspan="1" colspan="1">−0.05 (0.17)</td>
<td align="left" rowspan="1" colspan="1">0.028</td>
<td align="left" rowspan="1" colspan="1">0.53 (0.41)</td>
<td align="left" rowspan="1" colspan="1">0.87 (0.38)</td>
<td align="left" rowspan="1" colspan="1">−0.05 (0.17)</td>
<td align="left" rowspan="1" colspan="1">0.313</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">CS IL-18</td>
<td align="left" rowspan="1" colspan="1">301.42 (18.17)</td>
<td align="left" rowspan="1" colspan="1">325.88 (24.49)</td>
<td align="left" rowspan="1" colspan="1">280.66 (30.25)</td>
<td align="left" rowspan="1" colspan="1">0.239</td>
<td align="left" rowspan="1" colspan="1">349.54 (41.21)</td>
<td align="left" rowspan="1" colspan="1">346.50 (40.46)</td>
<td align="left" rowspan="1" colspan="1">280.66 (30.25)</td>
<td align="left" rowspan="1" colspan="1">0.434</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Gradient IL-18</td>
<td align="left" rowspan="1" colspan="1">22.85 (6.50)</td>
<td align="left" rowspan="1" colspan="1">38.20 (6.25)</td>
<td align="left" rowspan="1" colspan="1">9.33 (9.04)</td>
<td align="left" rowspan="1" colspan="1">0.032</td>
<td align="left" rowspan="1" colspan="1">32.42 (4.43)</td>
<td align="left" rowspan="1" colspan="1">28.14 (6.10)</td>
<td align="left" rowspan="1" colspan="1">9.33 (9.04)</td>
<td align="left" rowspan="1" colspan="1">0.077</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">CS IL-6</td>
<td align="left" rowspan="1" colspan="1">12.79 (2.97)</td>
<td align="left" rowspan="1" colspan="1">77.00 (26.28)</td>
<td align="left" rowspan="1" colspan="1">4.31 (0.42)</td>
<td align="left" rowspan="1" colspan="1">0.004</td>
<td align="left" rowspan="1" colspan="1">4.75 (0.86)</td>
<td align="left" rowspan="1" colspan="1">6.64 (1.07)</td>
<td align="left" rowspan="1" colspan="1">4.31 (0.42)</td>
<td align="left" rowspan="1" colspan="1">0.617</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Gradient IL-16</td>
<td align="left" rowspan="1" colspan="1">6.02 (2.47)</td>
<td align="left" rowspan="1" colspan="1">53.90 (23.07)</td>
<td align="left" rowspan="1" colspan="1">1.01 (0.36)</td>
<td align="left" rowspan="1" colspan="1">0.032</td>
<td align="left" rowspan="1" colspan="1">0.29 (0.47)</td>
<td align="left" rowspan="1" colspan="1">2.20 (0.85)</td>
<td align="left" rowspan="1" colspan="1">1.01 (0.36)</td>
<td align="left" rowspan="1" colspan="1">0.057</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tf3-1">
<p>All data: mean (SEM) (pg/mL). ACS indicates acute coronary syndrome; CS, coronary sinus; IL, interleukin; CAD, coronary artery disease.</p>
</fn>
<fn id="tf3-2">
<label>*</label>
<p>Difference between ACS colchicine vs. ACS no colchicine vs. controls.</p>
</fn>
<fn id="tf3-3">
<label></label>
<p>Difference between stable CAD colchicine vs. stable CAD no colchicine vs. controls.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="fig03" position="float">
<label>Figure 3</label>
<caption>
<p>(A) IL-1β, (B) IL-18, and (C) IL-6 transcoronary gradients in ACS patients and controls, according to colchicine treatment. Results expressed as mean and SEM. ACS indicates acute coronary syndrome; CS-A gradient, coronary sinus–arterial gradient; IL, interleukin.</p>
</caption>
<graphic xlink:href="jah30004-e002128-f3"></graphic>
</fig>
</sec>
</sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>There are 3 main findings in this study. First, the transcoronary gradients of all 3 inflammatory cytokines studied strongly correlated with disease activity, with the highest gradients found in ACS patients, and lowest in patients without any obstructive CAD. Second, venous plasma concentrations of the inflammasome-specific cytokines, IL-1β and IL-18, do not reliably identify increased transcoronary production. Finally, short-term colchicine treatment of ACS patients was associated with significantly lower transcoronary release of IL-1β and IL-18, as well as IL-6, a key downstream pro-inflammatory cytokine strongly associated with atherosclerosis-associated inflammation (
<xref ref-type="fig" rid="fig04">Figure 4</xref>
).</p>
<fig id="fig04" position="float">
<label>Figure 4</label>
<caption>
<p>Effect of short-term colchicine on local cardiac and systemic inflammation in acute coronary syndrome patients. IL indicates interleukin.</p>
</caption>
<graphic xlink:href="jah30004-e002128-f4"></graphic>
</fig>
<sec>
<title>Increased Transcoronary Production of IL-1β and IL-18 Is Found in ACS Patients</title>
<p>IL-1β is a key inflammatory cytokine and has been identified in multiple disease states.
<xref rid="b17" ref-type="bibr">17</xref>
It exerts pro-inflammatory (neutrophil recruitment, increase in IL-6 and tumor necrosis factor-α, stimulation of phagocytosis, increase of intracellular adhesion molecule-1 and vascular permeability, CD4 and B-cell activation) and prothrombogenic effects (increase in plasminogen activator inhibitor 1 and fibrinogen), by binding to the IL-1 type 1 receptor.
<xref rid="b18" ref-type="bibr">18</xref>
IL-1β might also be directly involved in plaque destabilization by the stimulation of matrix metalloproteinases.
<xref rid="b19" ref-type="bibr">19</xref>
Abundant evidence supports the participation of IL-1β in atherothrombosis, although most of this comes from studies in animal models or ex vivo human samples. IL-1β or IL-1 type 1 receptor-deficient mice are characterized by reduced atherosclerotic lesions,
<xref rid="b20" ref-type="bibr">20</xref>
,
<xref rid="b21" ref-type="bibr">21</xref>
and IL-1β exposure in Apo E
<sup>−/−</sup>
mice resulted in enhanced aortic plaque development.
<xref rid="b7" ref-type="bibr">7</xref>
In humans, a study in explanted hearts demonstrated increased IL-1β levels in arteries with coronary disease.
<xref rid="b22" ref-type="bibr">22</xref>
Our results show that there is higher local cardiac production of IL-1β in patients with acute coronary events. It remains unclear, however, whether IL-1β production is derived from macrophages in acute plaques, from macrophages in the infarcted myocardium, or both. However, given that there was no statistically significant difference in IL-1β levels in patients with and without troponin elevations (
<italic>P</italic>
=0.308), this strongly suggests a vascular rather than a myocardial origin of this cytokine. Also, it has been suggested that statin type may influence inflammasome activation, with rosuvastatin having a greater inhibitory effect than atorvastatin.
<xref rid="b23" ref-type="bibr">23</xref>
In our study, however, no differences were seen, irrespective of statin type, with ≈40% of statin-treated patients on rosuvastatin and the other 60% on atorvastatin. As the majority of these patients were on dual antiplatelet inhibition and statins, these findings also suggest ongoing inflammation in ACS patients despite best available therapy. Accordingly, further inhibition of the IL-1β pathway seems attractive as a potential treatment for the acute period of unstable coronary disease. Indeed, the CANTOS trial is currently testing the hypothesis that canakinumab, a specific IL-1β human monoclonal antibody, would reduce events in stable but persistently inflamed post–myocardial infarction patients.
<xref rid="b24" ref-type="bibr">24</xref>
In contrast to canakinumab, colchicine also has inhibitory effects on neutrophils, which also contribute to plaque progression and plaque destabilization;
<xref rid="b25" ref-type="bibr">25</xref>
however, the clinical benefits of colchicine versus canakinumab are still to be determined.</p>
<p>IL-18 has also been implicated in CAD pathogenesis.
<xref rid="b8" ref-type="bibr">8</xref>
,
<xref rid="b26" ref-type="bibr">26</xref>
,
<xref rid="b27" ref-type="bibr">27</xref>
Systemic concentrations of IL-18 have been shown to predict future cardiovascular events in patients with both stable and unstable symptoms, and its prognostic value is additive to other recognized inflammatory markers, such as C-reactive protein and IL-6.
<xref rid="b28" ref-type="bibr">28</xref>
Moreover, variations of the
<italic>IL18</italic>
gene influence outcomes in patients with CAD, suggesting a causal role for
<italic>IL18</italic>
in the complications of atherosclerosis.
<xref rid="b29" ref-type="bibr">29</xref>
Our data suggest increased local production of IL-18 in patients with CAD, in a similar fashion to IL-1β, in agreement with a common inflammasome-mediated pathway underlying their production. The results are also consistent with the significant association between caspase-1 levels and cardiovascular events in CAD patients.
<xref rid="b30" ref-type="bibr">30</xref>
Accordingly, inhibition of this cytokine could also be attractive; however, to our knowledge, no specific drug is currently under testing for this purpose.</p>
</sec>
<sec>
<title>IL-6 Correlates With Levels of Inflammasome-Specific Cytokines</title>
<p>Increased cardiac production of IL-6 in patients with acute myocardial infarction has previously been demonstrated.
<xref rid="b31" ref-type="bibr">31</xref>
Moreover, IL-6 levels in venous blood are strongly associated with both disease activity in ACS,
<xref rid="b32" ref-type="bibr">32</xref>
as well as being predictive of future coronary events in patients with stable disease.
<xref rid="b33" ref-type="bibr">33</xref>
,
<xref rid="b34" ref-type="bibr">34</xref>
Similarly, in our study, both transcoronary and venous levels of IL-6 correlated significantly with disease activity, in parallel with the transcoronary levels of the inflammasome-specific cytokines, IL-1β and IL-18. As IL-1β is known to play a pivotal role in IL-6 production, these data suggest a plausible link between increased local production of inflammasome-specific inflammatory cytokines, increased plaque vulnerability, and unstable coronary events.</p>
</sec>
<sec>
<title>Acute Colchicine Treatment Suppresses the Intracardiac Synthesis of IL-1β, IL-18, and IL-6</title>
<p>Colchicine administration in patients with unstable CAD within the 24 hours prior to cardiac catheterization significantly reduced local synthesis of IL-1β, IL-18, and IL-6, as well as venous concentrations of IL-6 (
<xref ref-type="fig" rid="fig04">Figure 4</xref>
). The acute suppression of these pro-inflammatory cytokines in ACS patients potentially has important therapeutic implications. ACS are characterized by widespread vascular inflammation,
<xref rid="b35" ref-type="bibr">35</xref>
affecting not only the culprit lesion but also multiple coronary segments, thus potentially promoting plaque rupture and erosion and subsequent events.
<xref rid="b36" ref-type="bibr">36</xref>
Acute inhibition of a number of key effectors in this inflammatory cascade with colchicine—an oral and inexpensive drug—could therefore reduce the incidence of new coronary events, which are common post-ACS,
<xref rid="b37" ref-type="bibr">37</xref>
by stabilizing both culprit and nonculprit lesions. Indeed, values as high as 15% of new cardiovascular events on 3-year follow-up have been described in recent trials.
<xref rid="b38" ref-type="bibr">38</xref>
Moreover, IL-6 has been strongly linked with increased risk of cardiovascular events in large epidemiological studies.
<xref rid="b34" ref-type="bibr">34</xref>
Our study demonstrated a marked reduction in local IL-6 production as well as venous levels with colchicine, suggesting a potential role for colchicine in reducing this risk.</p>
<p>A recently published study showed that a subcutaneous IL-1 receptor antagonist (Anakinra) administered daily for 14 days was associated with a significant reduction in CRP and IL-6 compared to placebo.
<xref rid="b39" ref-type="bibr">39</xref>
Although both CRP and IL-6 have been shown to predict events in patients with ACS,
<xref rid="b10" ref-type="bibr">10</xref>
,
<xref rid="b40" ref-type="bibr">40</xref>
Anakinra was associated with an increase in clinical events at 1-year follow-up. A possible explanation is the rebound in the inflammatory response (as revealed by a significant increase of high-sensitivity CRP levels at day 30) after a too-short treatment (14 days) with anakinra. Thus, a more prolonged inhibition of the IL-1 pathway or a broader inhibition of the inflammatory response using an anti-inflammasome agent, such as colchicine, could have clinical potential. Encouragingly, in this regard, the LoDoCo trial showed significant benefit of long-term colchicine treatment in patients with stable CAD, mainly due to a reduced number of acute events during follow-up (that is, predominantly by preventing plaque destabilization).
<xref rid="b41" ref-type="bibr">41</xref>
The ongoing Cardiovascular Inflammation Reduction Trial (CIRT), testing the effect of methotrexate on cardiovascular outcomes, may also support the use of anti-inflammatories to prevent secondary cardiovascular events.
<xref rid="b42" ref-type="bibr">42</xref>
It is possible based on the results of the current study that suppression of inflammasome-related cytokines may play a key role in effects of colchicine on acute plaque instability and the reduction of clinical events. This clearly requires further assessment; our current study was powered to examine a reduction in transcoronary cytokine release but not to assess clinical event rates.</p>
<p>The mechanisms by which colchicine inhibits the production of these cytokines are not completely understood. It has been suggested that colchicine might block crystal endocytosis and posterior stimulation of the inflammasome complex.
<xref rid="b43" ref-type="bibr">43</xref>
Colchicine might have a transcriptional effect by blocking the
<italic>MEFV</italic>
gene, thereby inhibiting the production of the inflammasome complex proteins.
<xref rid="b44" ref-type="bibr">44</xref>
Also, colchicine has been shown to prevent mobilization of a key protein in inflammasome complex assembly, known as apoptosis-associated speck-like protein containing caspase and activation recruitment domain (CARD) (ASC) from the mitochondria to the endoplasmic reticulum and thus prevents its colocalization with the rest of the inflammasome complex.
<xref rid="b14" ref-type="bibr">14</xref>
It is plausible that colchicine might exert its effects upon the inflammasome complex in more than 1 way. For example, it might rapidly inhibit the inflammasome complex assembly, hence exerting an acute effect, as demonstrated in the present study. It may also have a transcriptional effect, inhibiting the production of IL-1β and IL-18, a mechanism that might take longer to act and be related to more long-term exposure to the drug.</p>
</sec>
<sec>
<title>Limitations</title>
<p>Study limitations include a relatively small sample size. Also, although our study demonstrates increased cardiac production of inflammasome-associated cytokines in ACS, we cannot determine whether changes in cytokines contribute to ongoing coronary inflammation or are simply released as a consequence of plaque rupture and erosion. Moreover, mechanisms of inflammasome activation in this setting and the subacute/chronic time course of cytokine release require further exploration. Our study was designed to test the effects of short-term colchicine administration on the local cardiac production of cytokines. However, long-term use of this drug and its possible side effects were not evaluated. Finally, patients were not followed with respect to clinical outcomes.</p>
</sec>
</sec>
<sec sec-type="conclusions">
<title>Conclusions</title>
<p>In the present study, we have demonstrated increased intracardiac production of the inflammasome specific cytokines IL-1β, IL-18 and downstream IL-6 in patients presenting with an ACS.</p>
<p>Furthermore, acute colchicine administration is associated with a significant reduction in the transcoronary production of these cytokines in patients with ACS. These data suggest a possible therapeutic role for colchicine in acutely suppressing atherosclerosis-associated inflammation.</p>
</sec>
</body>
<back>
<ack>
<p>The authors would like to acknowledge the cardiac catheterization laboratory staff at the Royal Prince Alfred Hospital, for their assistance in performing the studies.</p>
</ack>
<sec>
<title>Sources of Funding</title>
<p>This study was supported by Sydney Medical School Foundation Grant (Patel).</p>
</sec>
<sec>
<title>Disclosures</title>
<p>None.</p>
</sec>
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