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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Med.</journal-id>
<journal-title>Frontiers in Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Med.</abbrev-journal-title>
<issn pub-type="epub">2296-858X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmed.2025.1615816</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Medicine</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Pro-inflammatory markers as predictors of arterial thrombosis in aged patients with peripheral arterial disease post revascularization</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Rodriguez Alvarez</surname> <given-names>Adriana A.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn0001"><sup>&#x2020;</sup></xref>
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</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Cieri</surname> <given-names>Isabella F.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn0001"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author">
<name><surname>Boya</surname> <given-names>Mounika Naidu</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name><surname>Patel</surname> <given-names>Shiv</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Agrawal</surname> <given-names>Aniket</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Ferreira</surname> <given-names>Sasha P. Suarez</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Alli</surname> <given-names>Christianah</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Sharma</surname> <given-names>Shruti</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Dua</surname> <given-names>Anahita</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Division of Vascular and Endovascular Surgery, Massachusetts General Hospital and Harvard Medical School</institution>, <addr-line>Boston, MA</addr-line>, <country>United States</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Immunology, Tufts University School of Medicine</institution>, <addr-line>Boston, MA</addr-line>, <country>United States</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0002">
<p>Edited by: Polona &#x017D;igon, University Medical Centre Ljubljana, Slovenia</p>
</fn>
<fn fn-type="edited-by" id="fn0003">
<p>Reviewed by: Heena Aggarwal, Brigham and Women&#x2019;s Hospital and Harvard Medical School, United States</p>
<p>Rafael Zubiran, National Heart, Lung, and Blood Institute (NIH), United States</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Anahita Dua, <email>adua1@mgh.harvard.edu</email></corresp>
<fn fn-type="equal" id="fn0001"><p><sup>&#x2020;</sup>These authors have contributed equally to this work and share first authorship</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>24</day>
<month>07</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>12</volume>
<elocation-id>1615816</elocation-id>
<history>
<date date-type="received">
<day>21</day>
<month>04</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>07</day>
<month>07</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Rodriguez Alvarez, Cieri, Boya, Patel, Agrawal, Ferreira, Alli, Sharma and Dua.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Rodriguez Alvarez, Cieri, Boya, Patel, Agrawal, Ferreira, Alli, Sharma and Dua</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec id="sec1">
<title>Introduction</title>
<p>Inflammation occurs in the initial stage of arterial atherosclerosis and serves as the first step in thrombus generation, with elevated inflammatory markers predicting myocardial infarction in coronary artery disease patients. Inflammation is known to alter the course of multiple diseases and can thus, also impact recovery post-treatment and surgical outcomes. Yet, there is a paucity of data regarding the relationship between inflammatory biomarkers and arterial thrombotic potential in peripheral artery disease (PAD) patients post-revascularization. Our pilot study attempts to fill this gap by evaluating if the expression of inflammatory biomarkers in PAD patients correlates with the incidence of thrombotic events post-revascularization.</p>
</sec>
<sec id="sec2">
<title>Methods</title>
<p>Plasma samples were prospectively collected from PAD patients who underwent revascularization from 2021 to 2023 at monthly time points for 6&#x202F;months from the procedure. Patients were followed for a total of 6&#x202F;months post-procedure and those who experienced thrombotic events were identified. Nine patients with thrombotic events and 16 with non-thrombotic events along with 5 healthy volunteers were analyzed. Plasma samples were analyzed for the following pro-inflammatory markers: IL-1&#x03B2; (Interleukin-1 beta), IL-6, and TNF-<italic>&#x03B1;</italic> (Tumor Necrosis Factor - alpha), GM-CSF (Granulocyte-Macrophage Colony-Stimulating Factor), IFN&#x03B3; (Interferon-gamma), IL-8, MCP-1 (Monocyte Chemoattractant Protein-1). The Kruskal-Wallis test was performed to compare bio-inflammatory marker levels between groups.</p>
</sec>
<sec id="sec3">
<title>Results</title>
<p>A total of 303 patients were enrolled, of which 59 had thrombotic events. There were no differences between medications or disease burden between groups. Levels of circulating IL-6 and TNF- <italic>&#x03B1;</italic> were significantly higher in the thrombosis cohort compared to the non-thrombosis cohort (55 vs. 38, <italic>p</italic> &#x003C;&#x202F;0.02) and (159 vs. 110, <italic>p</italic> &#x003C;&#x202F;0.02) respectively. Although there was a trend toward significance for IL-1&#x03B2; between the thrombotic cohort and non-thrombotic cohort, it did not reach statistical significance (18 vs. 11.5, <italic>p</italic> =&#x202F;NS). There was no difference observed in aspirin&#x2019;s ability to dampen the inflammatory response between the two groups as all patients were on aspirin between the groups evaluated.</p>
</sec>
<sec id="sec4">
<title>Conclusion</title>
<p>Pro-inflammatory markers IL-6 and TNF-<italic>&#x03B1;</italic> are significantly increased in patients, 1&#x202F;month prior to an arterial thrombotic event, as compared to patients without thrombotic events. These biomarkers could predict impending thrombosis in patients with PAD post-revascularization.</p>
</sec>
</abstract>
<kwd-group>
<kwd>inflammation</kwd>
<kwd>peripheral artery disease (PAD)</kwd>
<kwd>tumor necrosis factor-alpha</kwd>
<kwd>interleukin-6</kwd>
<kwd>thrombosis</kwd>
</kwd-group>
<contract-num rid="cn1">R21</contract-num>
<contract-num rid="cn1">R21AG077310</contract-num>
<contract-sponsor id="cn1">National Institute of Health</contract-sponsor>
<counts>
<fig-count count="1"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="24"/>
<page-count count="7"/>
<word-count count="4230"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Translational Medicine</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec5">
<title>Introduction</title>
<p>Peripheral arterial disease (PAD) is a critical condition stemming from atherosclerotic vascular disease, with its incidence continually rising, now affecting approximately 236 million individuals globally (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref2">2</xref>). Individuals diagnosed with PAD suffer from a range of debilitating symptoms that span from diminished ambulatory capabilities to severe infarctions. Furthermore, PAD patients are at a significantly heightened risk of cardiovascular events, such as myocardial infarction and stroke, representing a profound public health issue (<xref ref-type="bibr" rid="ref3 ref4 ref5">3&#x2013;5</xref>).</p>
<p>Inflammation is integral to the initial stages of arterial atherosclerosis pathogenesis, initiating the cascade that leads to thrombus formation (<xref ref-type="bibr" rid="ref6">6</xref>, <xref ref-type="bibr" rid="ref7">7</xref>). While extensive research has been conducted on the prognostic significance of elevated inflammatory markers in predicting myocardial infarction in patients with coronary artery disease (CAD) (<xref ref-type="bibr" rid="ref8 ref9 ref10 ref11 ref12">8&#x2013;12</xref>), the presence and implication of inflammation in PAD, particularly post-revascularization, remain underexplored (<xref ref-type="bibr" rid="ref13">13</xref>, <xref ref-type="bibr" rid="ref14">14</xref>). Considering the distinct anatomy and increased systemic CRP levels suggesting a more pro-inflammatory profile of PAD relative to CAD, it is crucial to investigate the impact of inflammation on PAD-related outcomes independently (<xref ref-type="bibr" rid="ref15">15</xref>).</p>
<p>The objective of this pilot study is to address this gap in knowledge by examining the differential expression of inflammatory biomarkers in PAD patients who develop thrombotic events post-revascularization compared to those who do not. This research is vital as it may uncover the inflammatory mechanisms that contribute to thrombus formation in PAD patients, which could lead to the development of specific therapeutic interventions to reduce such risks. Ultimately, this study aims to lay the groundwork for further extensive research by establishing a preliminary understanding of the relationship between inflammatory markers and thrombotic risk in the PAD population.</p>
</sec>
<sec sec-type="methods" id="sec6">
<title>Methods</title>
<sec id="sec7">
<title>Study population</title>
<p>Patients &#x2265;60&#x202F;years with PAD, undergoing lower extremity revascularization procedures (endovascular, open, and/or combined) at a large single tertiary institution within the vascular surgery department were prospectively enrolled and followed clinically between January 2021 and December 2023. Exclusion criteria included the inability to provide informed consent, inability to undergo serial blood draws, pregnancy, prisoners, contraindication to antiplatelets, and bleeding disorders. In some cases, patients scheduled for revascularization did not undergo the planned intervention. If the index procedure did not result in successful revascularization, either due to a lack of a targetable lesion or an inability to endovascularly access a lesion, those patients were considered screen failures and excluded from the analysis. The study protocol, including the consent form, was reviewed and approved by the Institutional Review Board (IRB). All patients provided written consent before participation in the study, in accordance with ethical guidelines.</p>
</sec>
<sec id="sec8">
<title>Objective coagulation evaluation: quantitative analysis of inflammatory markers</title>
<p>A 5&#x202F;cc blood sample was collected at 1-month, 3-month and 6-months post-procedure. Patients were followed for 6&#x202F;months post-op to detect any thrombotic event. For patients who did not experience a thrombotic event, we used a sample collected at a comparable time point post-operative. As this was a pilot study, we randomly selected 9 patients with thrombotic events and 16 with non-thrombotic events from our cohort along with 5 healthy volunteers.</p>
<p>Plasma samples were analyzed for 23 inflammatory markers to ascertain inflammation in an unbiased and broad manner. The inflammatory markers analyzed in this study included GM-CSF(Granulocyte-Macrophage Colony-Stimulating Factor), IFN(Interferon) <italic>&#x03B3;</italic>, IL (Interleukin)-1&#x03B2;, IL-1RA, IL-2, IL-4, IL-5, IL-6, IL-8, IL-10, IL-12p40, IL-12p70, IL-13, MCP-1(Monocyte Chemoattractant Protein-1), TNF&#x03B1; (Tumor Necrosis Factor &#x2013; alpha), IFN&#x03B1;-2, IFN&#x03B2;, IFN&#x03B3;R1, IFN&#x03B5;, IFN&#x03BB;1, IFN&#x03BB;2, IFN&#x03BB;3, and IFN&#x03C9;. The samples analyzed were the last samples collected from the patient prior to a thrombotic event in that cohort. Plasma samples underwent a single freeze&#x2013;thaw cycle. Blood was collected and immediately centrifuged to isolate plasma, which was then promptly frozen. Once an adequate number of samples had accumulated, all were thawed simultaneously and analyzed in a single batch.</p>
<p>Inflammatory biomarker concentrations were measured using multiplex bead-based immunoassays (Eve Technologies, Calgary, AB, Canada). The assays use polystyrene beads, each uniquely dyed and conjugated to a specific capture antibody, allowing simultaneous detection of multiple analytes in a single well. Samples were processed on a Bio-Plex 200 analyzer (Bio-Rad), which uses dual-laser flow cytometry to identify bead sets and quantify target concentrations via a streptavidin-phycoerythrin fluorescent reporter. Results were derived using standard curves for each analyte provided by the manufacturer (<xref ref-type="bibr" rid="ref16">16</xref>).&#x201D;</p>
</sec>
<sec id="sec9">
<title>Variables</title>
<p>Demographics, medications, procedure type and outcomes were documented between the thrombotic and non-thrombotic patients. Data analysis comparing quantitative level of inflammatory markers in patients who experience a thrombotic event within 6&#x202F;months of a vascular intervention was compared with those who did not experience such an event within the same time period following the procedure. Thrombotic/stenotic events were defined as a composite of peripheral artery graft/stent thrombosis or stenosis, including radiographic evidence of graft/stent/native arterial intervention failure, reintervention to reestablish patent arterial flow, and major limb (above-knee or below-knee) amputation resulting from ischemia.</p>
</sec>
<sec id="sec10">
<title>Statistical analysis</title>
<p>Descriptive statistics were used to characterize the non-thrombosis and thrombosis groups. Mann&#x2013;Whitney-<italic>U</italic> test was performed to evaluate differences in bio-inflammatory marker levels between groups to determine the potential for a risk-predictive relationship between these markers and the occurrence of a thrombotic event within 6&#x202F;months post-revascularization.</p>
</sec>
</sec>
<sec sec-type="results" id="sec11">
<title>Results</title>
<sec id="sec12">
<title>Study population and demographics</title>
<p>During the study period, 303 patients were enrolled of which 59 (19.4%) experienced a thrombotic event (&#x201C;event&#x201D;) while the rest did not (&#x201C;non-event&#x201D;). For the purpose of this research, 9 patients were selected at random from the event cohort and 16 patients were selected from the non-event cohort along with 5 healthy volunteers. The event cohort consisted of 77.8% males (7/9) and 22.2% females (2/9), while the non-event cohort comprised 56.3% males (9/16) and 43.8% females (7/16). (<xref ref-type="table" rid="tab1">Table 1</xref>). The majority of patients in the entire study population were Caucasians with only 1 African American patient in the 25 studied (<xref ref-type="table" rid="tab1">Table 1</xref>). Analysis of cardiovascular comorbidities showed comparable rates of hypertension (thrombotic: 88.9%, non-thrombotic: 81.3%, <italic>p</italic>&#x202F;=&#x202F;0.26) and hyperlipidemia (thrombotic: 88.9%, non-thrombotic: 93.8%, <italic>p</italic>&#x202F;=&#x202F;1.0) between groups. Coronary artery disease was observed in 88.9% of the thrombotic cohort compared to 50% of the non-thrombotic cohort, though this difference did not reach statistical significance (<italic>p</italic>&#x202F;=&#x202F;0.4). There was no significant difference in the distribution of intervention types (endovascular, open, or combined) between the two groups (<italic>p</italic>&#x202F;=&#x202F;0.86) Tobacco use did not exhibit any difference, with the majority of both cohorts being former smokers (<xref ref-type="table" rid="tab1">Table 1</xref>).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Demographics and comorbidities of study cohort (<italic>N</italic>&#x202F;=&#x202F;25).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top"><bold>Variables</bold></th>
<th/>
<th align="center" valign="top"><bold>Non-thrombosis <italic>N</italic> =&#x202F;16</bold></th>
<th align="center" valign="top"><bold>Thrombosis</bold>
<break/><bold><italic>N</italic> =&#x202F;9</bold></th>
<th align="center" valign="top"><bold><italic>p-value</italic></bold></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Sex</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">1</td>
</tr>
<tr>
<td rowspan="8"/>
<td align="center" valign="top" colspan="4">Female</td>
</tr>
<tr>
<td align="left" valign="top">Study</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">2</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Subjects</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">0</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Controls</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top" colspan="4">Male</td>
</tr>
<tr>
<td align="left" valign="top">Study</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">7</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Subjects</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">0</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Controls</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Race</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.36</td>
</tr>
<tr>
<td rowspan="13"/>
<td align="center" valign="top" colspan="4">White</td>
</tr>
<tr>
<td align="left" valign="top">Study</td>
<td align="center" valign="top">16</td>
<td align="center" valign="top">8</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Subjects</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">0</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Controls</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top" colspan="4">Black</td>
</tr>
<tr>
<td align="left" valign="top">Study</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">1</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Subjects</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">0</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Controls</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="center" valign="top" colspan="4">Asian</td>
</tr>
<tr>
<td align="left" valign="top">Controls</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">0</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Hispanic</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">0</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" colspan="4">Other</td>
</tr>
<tr>
<td align="left" valign="top">Controls</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">0</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Diabetes</td>
<td/>
<td align="center" valign="top">3</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">0.03&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top">Hypertension</td>
<td/>
<td align="center" valign="top">13</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">0.26&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top">Renal status</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.42&#x002A;</td>
</tr>
<tr>
<td rowspan="4"/>
<td align="left" valign="top">GFR Normal</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">4</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">GFR 60 to 89</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">2</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">GFR 30 to 59</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">2</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">GFR&#x202F;&#x003C;&#x202F;15 (on dialysis)</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">1</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" colspan="2">Hyperlipidemia</td>
<td align="center" valign="top">15</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">1&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top" colspan="2">Coronary artery disease</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">0.4&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top" colspan="2">History of myocardial infarction</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">0.04&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top" colspan="2">History of DVT</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">1&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top" colspan="2">History of stroke</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">0.31&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top" colspan="2">Previous vascular intervention</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">0.23&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top" colspan="2">Tobacco use</td>
<td/>
<td/>
<td align="center" valign="top">0.69&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top" colspan="2">Never</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">1</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" colspan="2">Past</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">8</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" colspan="2">Current</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">0</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" colspan="2">Type of intervention</td>
<td/>
<td/>
<td align="center" valign="top">0.86&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top" colspan="2">Endovascular</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">5</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" colspan="2">Open</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">3</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" colspan="2">Combined</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">1</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Data were presented as numbers (percentage). GFR&#x202F;=&#x202F;glomerular filtration rate; DVT&#x202F;=&#x202F;Deep vein thrombosis. Comparisons of variables between the thrombosis and non-thrombosis groups were performed using Fisher&#x2019;s exact test. &#x002A; Values indicate statistical significance.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec13">
<title>Vascular intervention type</title>
<p>In both cohorts, the majority of procedures were elective, for both Chronic Limb Threatening Ischemia (CLTI) and Intermittent Claudication. There was no significance in the type of intervention (Endovascular, Open, or Combined) (<xref ref-type="table" rid="tab1">Table 1</xref>).</p>
</sec>
<sec id="sec14">
<title>Bio-inflammatory marker levels</title>
<p>The thrombosis cohort exhibited significantly higher values of pro-inflammatory markers IL-6 [55&#x202F;pg./mL vs. 38&#x202F;pg./mL, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.02] and TNF-<italic>&#x03B1;</italic> [159&#x202F;pg./mL vs. 110&#x202F;pg./mL, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.02] compared to the non-event cohort, suggesting an increased risk of developing a thrombus in the former. While a trend trailing towards significance was observed for IL-1&#x03B2;, another pro-inflammatory marker, it failed to achieve statistical significance within the current cohort [18 vs. 11.5, <italic>p</italic>&#x202F;=&#x202F;0.08] (<xref ref-type="table" rid="tab2">Table 2</xref>). No statistically significant differences were observed in the remaining bio-inflammatory markers. When stratified by control, non-thrombosis, and thrombosis groups, IL-6 and TNF-<italic>&#x03B1;</italic> demonstrated a progressive increase across categories, consistent with a graded inflammatory response. IL-10 was also highest in the thrombosis group relative to non-thrombosis and controls, potentially indicating a compensatory anti-inflammatory effect (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Inflammatory biomarkers.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom" rowspan="2"><bold>Inflammatory biomarkers (pg/mL)</bold></th>
<th align="center" valign="bottom" colspan="2"><bold>Median</bold></th>
<th align="center" valign="bottom" colspan="2"><bold>IQR</bold></th>
<th align="center" valign="bottom" rowspan="2"><bold><italic>p</italic>-value</bold></th>
</tr>
<tr>
<th align="center" valign="top"><bold>No thrombosis</bold></th>
<th align="center" valign="top"><bold>Thrombosis</bold></th>
<th align="center" valign="top"><bold>No thrombosis</bold></th>
<th align="center" valign="top"><bold>Thrombosis</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">GM-CSF</td>
<td align="center" valign="bottom">46</td>
<td align="center" valign="bottom">46.5</td>
<td align="center" valign="bottom">33.5</td>
<td align="center" valign="bottom">9</td>
<td align="center" valign="bottom">0.625</td>
</tr>
<tr>
<td align="left" valign="top">IFN&#x03B3;</td>
<td align="center" valign="bottom">14</td>
<td align="center" valign="bottom">18</td>
<td align="center" valign="bottom">9</td>
<td align="center" valign="bottom">13</td>
<td align="center" valign="bottom">0.504</td>
</tr>
<tr>
<td align="left" valign="top">IL-1&#x03B2;</td>
<td align="center" valign="bottom">11.5</td>
<td align="center" valign="bottom">18</td>
<td align="center" valign="bottom">6.5</td>
<td align="center" valign="bottom">8</td>
<td align="center" valign="bottom">0.086</td>
</tr>
<tr>
<td align="left" valign="top">IL-1RA</td>
<td align="center" valign="bottom">69</td>
<td align="center" valign="bottom">61.5</td>
<td align="center" valign="bottom">33.5</td>
<td align="center" valign="bottom">37</td>
<td align="center" valign="bottom">0.689</td>
</tr>
<tr>
<td align="left" valign="top">IL-2</td>
<td align="center" valign="bottom">17</td>
<td align="center" valign="bottom">17</td>
<td align="center" valign="bottom">10.5</td>
<td align="center" valign="bottom">14.5</td>
<td align="center" valign="bottom">0.824</td>
</tr>
<tr>
<td align="left" valign="top">IL-4</td>
<td align="center" valign="bottom">12</td>
<td align="center" valign="bottom">19</td>
<td align="center" valign="bottom">6.5</td>
<td align="center" valign="bottom">10</td>
<td align="center" valign="bottom">0.094</td>
</tr>
<tr>
<td align="left" valign="top">IL-5</td>
<td align="center" valign="bottom">24</td>
<td align="center" valign="bottom">32.5</td>
<td align="center" valign="bottom">18</td>
<td align="center" valign="bottom">22</td>
<td align="center" valign="bottom">0.056</td>
</tr>
<tr>
<td align="left" valign="top">IL-6</td>
<td align="center" valign="bottom">38</td>
<td align="center" valign="bottom">55</td>
<td align="center" valign="bottom">57.5</td>
<td align="center" valign="bottom">207.5</td>
<td align="center" valign="bottom">0.022&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top">IL-8</td>
<td align="center" valign="bottom">48.5</td>
<td align="center" valign="bottom">53</td>
<td align="center" valign="bottom">13</td>
<td align="center" valign="bottom">32</td>
<td align="center" valign="bottom">0.533</td>
</tr>
<tr>
<td align="left" valign="top">IL-10</td>
<td align="center" valign="bottom">36</td>
<td align="center" valign="bottom">53</td>
<td align="center" valign="bottom">13.5</td>
<td align="center" valign="bottom">37</td>
<td align="center" valign="bottom">0.019&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top">IL-12p40</td>
<td align="center" valign="bottom">15</td>
<td align="center" valign="bottom">17</td>
<td align="center" valign="bottom">11</td>
<td align="center" valign="bottom">4</td>
<td align="center" valign="bottom">0.326</td>
</tr>
<tr>
<td align="left" valign="top">IL-12p70</td>
<td align="center" valign="bottom">10</td>
<td align="center" valign="bottom">16</td>
<td align="center" valign="bottom">4</td>
<td align="center" valign="bottom">11</td>
<td align="center" valign="bottom">0.824</td>
</tr>
<tr>
<td align="left" valign="top">IL-13</td>
<td align="center" valign="bottom">12</td>
<td align="center" valign="bottom">15</td>
<td align="center" valign="bottom">7</td>
<td align="center" valign="bottom">10</td>
<td align="center" valign="bottom">0.125</td>
</tr>
<tr>
<td align="left" valign="top">MCP-1</td>
<td align="center" valign="bottom">1,083</td>
<td align="center" valign="bottom">1,374</td>
<td align="center" valign="bottom">880.5</td>
<td align="center" valign="bottom">1153.5</td>
<td align="center" valign="bottom">0.945</td>
</tr>
<tr>
<td align="left" valign="top">TNF&#x03B1;</td>
<td align="center" valign="bottom">110</td>
<td align="center" valign="bottom">159</td>
<td align="center" valign="bottom">62.5</td>
<td align="center" valign="bottom">110.5</td>
<td align="center" valign="bottom">0.028&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top">IFN&#x03B1;-2</td>
<td align="center" valign="bottom">9</td>
<td align="center" valign="bottom">9.5</td>
<td align="center" valign="bottom">2</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="bottom">0.193</td>
</tr>
<tr>
<td align="left" valign="top">IFN&#x03B2;</td>
<td align="center" valign="bottom">12</td>
<td align="center" valign="bottom">12</td>
<td align="center" valign="bottom">11</td>
<td align="center" valign="bottom">5</td>
<td align="center" valign="bottom">0.79</td>
</tr>
<tr>
<td align="left" valign="top">IFN&#x03B3;R1</td>
<td align="center" valign="bottom">228.5</td>
<td align="center" valign="bottom">248</td>
<td align="center" valign="bottom">121</td>
<td align="center" valign="bottom">83</td>
<td align="center" valign="bottom">0.476</td>
</tr>
<tr>
<td align="left" valign="top">IFN&#x03B5;</td>
<td align="center" valign="bottom">14</td>
<td align="center" valign="bottom">12</td>
<td align="center" valign="bottom">5</td>
<td align="center" valign="bottom">7</td>
<td align="center" valign="bottom">0.209</td>
</tr>
<tr>
<td align="left" valign="top">IFN&#x03BB;1</td>
<td align="center" valign="bottom">8</td>
<td align="center" valign="bottom">9</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="bottom">3</td>
<td align="center" valign="bottom">0.824</td>
</tr>
<tr>
<td align="left" valign="top">IFN&#x03BB;2</td>
<td align="center" valign="bottom">14</td>
<td align="center" valign="bottom">10</td>
<td align="center" valign="bottom">7</td>
<td align="center" valign="bottom">6.5</td>
<td align="center" valign="bottom">0.063</td>
</tr>
<tr>
<td align="left" valign="top">IFN&#x03BB;3</td>
<td align="center" valign="bottom">10.5</td>
<td align="center" valign="bottom">10.5</td>
<td align="center" valign="bottom">4.5</td>
<td align="center" valign="bottom">2</td>
<td align="center" valign="bottom">0.824</td>
</tr>
<tr>
<td align="left" valign="top">IFN&#x03C9;</td>
<td align="center" valign="bottom">9</td>
<td align="center" valign="bottom">8</td>
<td align="center" valign="bottom">12.5</td>
<td align="center" valign="bottom">3</td>
<td align="center" valign="bottom">0.722</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Key: IL-6: Interleukin-6; TNF-&#x03B1;: Tumor Necrosis Factor-&#x03B1;; IL-1&#x03B2;: Interleukin-1 beta; GM-CSF: Granulocyte Monocyte-Colony Stimulating Factor; IFN&#x03B3;: Interferon-&#x03B3;. &#x002A; Values indicate statistical significance.</p>
</table-wrap-foot>
</table-wrap>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Cytokine levels by groups. Bar plots show mean&#x202F;&#x00B1;&#x202F;standard error of cytokine levels (IL-10, IL-6, TNF<italic>&#x03B1;</italic>) in control (red), non-thrombosis (green), and thrombosis (blue) groups. Each dot represents an individual data point. All three cytokines demonstrated higher concentrations in the thrombosis group, indicating an amplified inflammatory response in thrombotic patients.</p>
</caption>
<graphic xlink:href="fmed-12-1615816-g001.tif">
<alt-text content-type="machine-generated">Bar graph displaying cytokine levels (IL-10, IL-6, TNF&#x03B1;) across three groups: control (red), non-thrombosis (green), and thrombosis (blue). Each bar represents the mean level with error bars, and individual data points are overlaid. Thrombosis group consistently shows higher cytokine levels across all types.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="sec15">
<title>Discussion</title>
<p>Our pilot observational study analysis of 25 patients (9 with thrombotic events, 16 without) revealed distinct demographic parameters with the thrombotic group having a higher proportion of males (77.8% vs. 56.3%) with significantly higher rates of diabetes (<italic>p</italic>&#x202F;=&#x202F;0.03) and history of myocardial infarction (<italic>p</italic>&#x202F;=&#x202F;0.04). While both groups had comparable rates of hypertension (88.9% vs. 81.3%, <italic>p</italic>&#x202F;=&#x202F;0.26) and hyperlipidemia (88.9% vs. 93.8%, <italic>p</italic>&#x202F;=&#x202F;1.0), coronary artery disease was more prevalent in the thrombotic group (88.9% vs. 50%, <italic>p</italic>&#x202F;=&#x202F;0.4). The type of intervention (endovascular, open, or combined) showed similar distribution between groups (<italic>p</italic>&#x202F;=&#x202F;0.86), suggesting that surgical approach did not influence thrombotic outcomes.</p>
<p>Analysis of inflammatory cytokine profiles in our PAD patient cohorts revealed distinct patterns of immune activation. IL-1&#x03B2; demonstrated an upward trend (<italic>p</italic>&#x202F;=&#x202F;0.086) but failed to achieve statistical significance in our pilot cohort. Notably, GM-CSF and IFN&#x03B3; concentrations remained stable between cohorts, indicating selective rather than systemic pro-inflammatory cytokine upregulation in post-revascularization patients. This selective activation pattern suggests that specific molecular signatures may differentiate recovery versus relapse trajectories (<xref ref-type="bibr" rid="ref17">17</xref>, <xref ref-type="bibr" rid="ref18">18</xref>).</p>
<p>Importantly, a point of relevance in this study is that all patients included in this analysis were maintained on aspirin therapy post-revascularization, and there were no significant differences in medication exposure or disease burden between the studied groups. This uniformity strengthens the interpretation of our cytokine profile data by minimizing pharmacologic confounding. Notably, prior work has shown that aspirin can influence cytokine dynamics, Brox et al. demonstrated that aspirin at physiologic concentrations enhanced TLR-stimulated production of IL-6 and IL-1&#x03B2; in human leukocytes through mechanisms independent of the COX-1 or COX-2 pathways traditionally attributed to aspirin use (<xref ref-type="bibr" rid="ref19">19</xref>). Given this, the consistent aspirin exposure across all patients in our study ensures that observed differences in inflammatory marker levels, particularly IL-6 and TNF-<italic>&#x03B1;</italic>, are unlikely to be attributable to variability in anti-inflammatory medication use, but instead reflect true biologic divergence preceding thrombotic events.</p>
<p>The longitudinal Edinburgh Artery Study (<italic>n</italic>&#x202F;&#x003E;&#x202F;1,500, 12-year follow-up) established IL-6 as the predominant predictive inflammatory biomarker in PAD pathogenesis. As a primary immune regulator, IL-6 mediates hepatic acute phase protein production, particularly CRP. Multivariate analysis demonstrated that elevated IL-6 levels independently correlate with disease progression and diminished functional capacity. Clinical stratification revealed significantly higher IL-6 concentrations in patients with Severe Limb Ischemia compared to those presenting with claudication alone, establishing a quantitative relationship between cytokine levels and disease severity (<xref ref-type="bibr" rid="ref20">20</xref>).</p>
<p>TNF-<italic>&#x03B1;</italic> demonstrated significant elevation in the event cohort. This monocyte-derived pro-inflammatory mediator plays a crucial role in atherosclerosis progression through multiple mechanistic pathways. Molecular analysis revealed increased monocyte TNF-<italic>&#x03B1;</italic> mRNA expression correlating with worsening claudication. Furthermore, patients exhibiting decreased Maximal Walking Time (MWT) showed concurrent elevation in both TNF-&#x03B1; gene expression and circulating protein levels, suggesting a direct molecular link between inflammation and functional impairment (<xref ref-type="bibr" rid="ref21 ref22 ref23">21&#x2013;23</xref>). The mechanistic relationship between IL-1&#x03B2; and atherosclerosis centers on its influence on plaque composition and stability. IL-1&#x03B2;, in conjunction with IFN&#x03B3;, modulates Matrix Metalloproteinase expression, potentially destabilizing thrombotic plaques. Our findings suggest that the combinatorial assessment of IL-1&#x03B2; with IL-6/TNF-<italic>&#x03B1;</italic> may provide superior predictive value for re-thrombotic complications compared to IFN&#x03B3; levels alone, which remained unchanged in our cohort. This observation aligns with genetic studies demonstrating increased IL-1&#x03B2; gene expression in coronary artery disease patients, supporting its role in atherosclerotic pathogenesis (<xref ref-type="bibr" rid="ref18">18</xref>, <xref ref-type="bibr" rid="ref24">24</xref>).</p>
</sec>
<sec id="sec16">
<title>Limitations</title>
<p>One of our limitations was the small sample size due to budget constraints. Therefore, only univariate testing was able to be performed with limited power to detect differences. While we show a correlation between IL-6 and TNF- <italic>&#x03B1;</italic> (and possibly IL1 <italic>&#x03B2;</italic>) and post-surgical re-thrombotic events, outstanding gaps still exist in this new direction we have forged. For instance, it is unclear what the underlying source of these cytokines is in PAD patients with thrombotic complications. Furthermore, the impact of including an anti-inflammatory on the prospective outcomes is unknown though very attractive. The specific impact of IL-6/TNF- <italic>&#x03B1;</italic> on platelet biology that shapes potential thrombotic events even in the presence of anti-platelet therapy is an intriguing area of research. Moreover, it is also unclear when IL-6 and TNF- <italic>&#x03B1;</italic> levels become increased in PAD patients with revascularization, if it is directly proximal to the secondary thrombotic event or if they never see a decline in increased IL-6/TNF- &#x03B1; post-surgery. Thus, timing of these cytokines is critical in refining their predictive power. Finally, if these cytokines are sufficient to predict the thrombotic potential in revascularized PAD patients remains to be determined with an even broader assessment of immune mediators. If indeed, these cytokines are sufficient to predict the outcomes of revascularized patients, we will have inferred a roadmap to post-surgical success. We also acknowledge the lack of baseline samples at enrollment as a limitation. Baseline data would have strengthened comparisons and improved understanding of biomarker changes. Another limitation of our study is that we did not specifically analyze or adjust for the use of lipid-lowering therapy in relation to thrombotic outcomes, which may have influenced our findings. Future studies with a larger sample size should assess if increased IL-6, TNF and IL1b levels correlate and predict post-revascularization thrombotic events in the PAD population. Additionally, evaluate both the timing of cytokine elevation as a potential prognostic marker and the impact of lipid-lowering therapy on thrombotic risk in this population.</p>
</sec>
<sec sec-type="conclusions" id="sec17">
<title>Conclusion</title>
<p>Pro-inflammatory markers IL-6 and TNF-<italic>&#x03B1;</italic> are elevated in the months leading up to an arterial thrombotic event as compared to patients without thrombotic events. These biomarkers have a significant potential to be used as predictive markers of thrombosis in post-revascularization patients to monitor and determine their risk of re-thrombosis, thus might allow clinicians to intervene at the appropriate time to prevent the recurrence of such an event.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec18">
<title>Data availability statement</title>
<p>The raw data will be made available upon reasonable request, pending approval from the corresponding author.</p>
</sec>
<sec sec-type="ethics-statement" id="sec19">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Massachusetts General Brigham IRB, Massachusetts General Hospital, 55 Fruit Street, Boston, MA. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec sec-type="author-contributions" id="sec20">
<title>Author contributions</title>
<p>AR: Writing &#x2013; original draft, Investigation, Conceptualization, Writing &#x2013; review &#x0026; editing. IC: Writing &#x2013; original draft, Investigation, Writing &#x2013; review &#x0026; editing, Conceptualization. MB: Data curation, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing, Methodology. SP: Project administration, Writing &#x2013; review &#x0026; editing, Methodology, Writing &#x2013; original draft. AA: Methodology, Investigation, Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft. SF: Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing, Conceptualization. CA: Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. SS: Writing &#x2013; review &#x0026; editing, Investigation, Writing &#x2013; original draft, Conceptualization. AD: Project administration, Data curation, Writing &#x2013; review &#x0026; editing, Supervision, Writing &#x2013; original draft, Validation, Conceptualization.</p>
</sec>
<sec sec-type="funding-information" id="sec21">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by the National Institute of Health (NIH) [R21 Federal Grant R21AG077310].</p>
</sec>
<sec sec-type="COI-statement" id="sec22">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="sec23">
<title>Generative AI statement</title>
<p>The authors declare that no Gen AI was used in the creation of this manuscript.</p>
</sec>
<sec sec-type="disclaimer" id="sec24">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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