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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Neurol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Neurology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Neurol.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1664-2295</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fneur.2026.1753192</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Higher fibrinogen levels contributes to thrombosis in intracranial atherosclerosis-related large vessel occlusion strokes</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Liu</surname>
<given-names>Yimeng</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<surname>Zhao</surname>
<given-names>Hongchen</given-names>
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<given-names>Zigao</given-names>
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<surname>Mao</surname>
<given-names>Yiting</given-names>
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<given-names>Qiang</given-names>
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<aff id="aff1"><label>1</label><institution>Department of Neurology, Huashan Hospital, Fudan University</institution>, <city>Shanghai</city>, <country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>State Key Laboratory of Medical Neurobiology, Fudan University</institution>, <city>Shanghai</city>, <country country="cn">China</country></aff>
<aff id="aff3"><label>3</label><institution>National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University</institution>, <city>Shanghai</city>, <country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>&#x002A;</label>Correspondence: Wenjie Cao, <email xlink:href="mailto:wenjiecao@fudan.edu.cn">wenjiecao@fudan.edu.cn</email>; Qiang Dong, <email xlink:href="mailto:dongqiang2222@gmail.com">dongqiang2222@gmail.com</email></corresp>
<fn fn-type="equal" id="fn0001">
<label>&#x2020;</label>
<p>These authors have contributed equally to this work</p>
</fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-03-04">
<day>04</day>
<month>03</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>17</volume>
<elocation-id>1753192</elocation-id>
<history>
<date date-type="received">
<day>19</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>16</day>
<month>02</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>18</day>
<month>02</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2026 Liu, Zhao, Ling, Chen, Wang, Mao, Dong and Cao.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Liu, Zhao, Ling, Chen, Wang, Mao, Dong and Cao</copyright-holder>
<license>
<ali:license_ref start_date="2026-03-04">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>The mechanisms underlying large-vessel occlusion strokes (LVOS) caused by intracranial atherosclerosis (ICAS) remain incompletely understood. This study aimed to characterize the distinct features of ICAS-LVOS to elucidate its pathological basis.</p>
</sec>
<sec>
<title>Methods</title>
<p>We conducted a cross-sectional analysis of a prospective, single-center cohort of acute ischemic stroke patients (January 2017 to January 2023). Participants were classified into three groups: ICAS-LVOS, atrial fibrillation-related LVOS (AF-LVOS), and symptomatic ICAS without LVOS (sICAS). Clinical and laboratory data were compared.</p>
</sec>
<sec>
<title>Results</title>
<p>The study included 279 patients, comprising 70 ICAS-LVOS patients, 78 AF-LVOS patients, and 131 sICAS patients. Compared to AF-LVOS, ICAS-LVOS patients demonstrated associations with younger age (OR: 0.898; <italic>p</italic>&#x202F;=&#x202F;0.007), previous stroke (OR: 6.672; <italic>p</italic>&#x202F;=&#x202F;0.031), posterior circulation involvement (OR: 30.299; <italic>p</italic>&#x202F;=&#x202F;0.011) and higher fibrinogen levels (OR: 3.421; <italic>p</italic>&#x202F;=&#x202F;0.006). A ratio of fibrinogen/D-dimer &#x2265;6 effectively identified ICAS-LVOS with high specificity. Relative to sICAS, ICAS-LVOS was associated with higher body mass index (OR: 1.176; <italic>p</italic>&#x202F;=&#x202F;0.002), white blood cell counts (OR: 1.234; <italic>p</italic>&#x202F;=&#x202F;0.002), and fibrinogen levels (OR: 1.600; <italic>p</italic>&#x202F;=&#x202F;0.029). Within the ICAS-LVOS group, higher thrombus burden was correlated with hypertension (OR: 6.071; <italic>p</italic>&#x202F;=&#x202F;0.029) and higher fibrinogen levels (OR: 2.322; <italic>p</italic>&#x202F;=&#x202F;0.046). Notably, in patients with fibrinogen levels &#x003C;3.2&#x202F;g/L, intravenous thrombolysis was associated with fewer passes of thrombectomy devices.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>ICAS-LVOS exhibits a unique profile distinct from AF-LVOS and sICAS. Fibrinogen appears to play a significant role in thrombogenesis and the occurrence of LVOS in ICAS, influencing thrombus characteristics and potentially modifying the efficacy of thrombolysis in specific patient subgroups.</p>
</sec>
</abstract>
<kwd-group>
<kwd>fibrinogen</kwd>
<kwd>intracranial atherosclerotic stenosis</kwd>
<kwd>large-vessel occlusion stroke</kwd>
<kwd>pathogenesis</kwd>
<kwd>thrombosis</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This study was funded by  Noncommunicable Chronic Diseases-National Science and Technology Major Project (2023ZD0505406) and National Natural Science Foundation of China (82571508).</funding-statement>
</funding-group>
<counts>
<fig-count count="3"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="30"/>
<page-count count="9"/>
<word-count count="5952"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Neurological Biomarkers</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="sec1">
<title>Highlights</title>
<p>
<list list-type="bullet">
<list-item>
<p><italic>What is already known</italic>: The specific mechanisms by which intracranial atherosclerosis (ICAS) leads to large-vessel occlusion stroke (LVOS) remain poorly defined, unlike the well-established causes of cardioembolic stroke.</p>
</list-item>
<list-item>
<p><italic>What this study adds</italic>: We identify that ICAS-LVOS has a distinct profile, including younger age and higher fibrinogen levels. A fibrinogen/D-dimer ratio &#x2265;6 helps identify it, and fibrinogen is linked to both its occurrence and a heavier thrombus burden.</p>
</list-item>
<list-item>
<p><italic>How this study might affect research, practice or policy</italic>: Fibrinogen could be a future therapeutic target, and the fibrinogen/D-dimer ratio may aid in early etiology diagnosis, potentially guiding acute treatment decisions.</p>
</list-item>
</list>
</p>
</sec>
<sec sec-type="intro" id="sec2">
<title>Introduction</title>
<p>Intracranial atherosclerotic stenosis (ICAS) is one of the most common causes of acute ischemic stroke worldwide, especially in Asian populations, with high recurrent risks (<xref ref-type="bibr" rid="ref1">1</xref>). The rise in mechanical thrombectomy (MT) for large-vessel occlusion stroke (LVOS) has revealed ICAS as an underlying etiology in approximately 27.7% of cases (<xref ref-type="bibr" rid="ref2">2</xref>), reaching up to 60% in Chinese populations (<xref ref-type="bibr" rid="ref3">3</xref>). ICAS-LVOS often leads to larger infarcts, higher disability rates, and increased mortalities. Diagnosing ICAS-related LVOS poses unique challenges, relying on complicating identification during MT procedures in LVOS populations (<xref ref-type="bibr" rid="ref4">4</xref>). Thus, studies focusing on ICAS-LVOS are scant and demanding. The hypothesis of the mechanism behind ICAS-LVOS was akin to ST-segment-elevation myocardial infarction in cardiac scenarios (<xref ref-type="bibr" rid="ref5">5</xref>), suggesting that the acute plaque rupture leads to thrombosis and occlusion. Furthermore, given residual stenosis and compromised perfusion, over one-third ICAS-LVOS patients experience intraprocedural reocclusion, 20 times higher than non-ICAS-LVOS cases (<xref ref-type="bibr" rid="ref2">2</xref>). Achieving and sustaining recanalization often necessitates rescue interventions such as angioplasty, stenting and intra-arterial antiplatelet administration. However, the benefit of intravenous thrombolysis (IVT) remains unclear. Hence, our study aims to identify key factors contributing to or exacerbating ICAS occlusion, shedding light on the mechanism of ICAS- LVOS and exploring more effective therapies.</p>
</sec>
<sec sec-type="methods" id="sec3">
<title>Methods</title>
<sec id="sec4">
<title>Study design and population</title>
<p>A prospective cohort study of AIS patients admitted to hospital within 24&#x202F;h of symptom onset was conducted at our institution. We screened 989 patients with comprehensive clinical data and angiography (digital subtraction angiography, DSA or computed tomography angiography, CTA) from January 2017 to January 2023. Three patient groups were ultimately included: ICAS-related LVOS, atrial fibrillation (AF)-related LVOS, and symptomatic ICAS (sICAS) without LVO. The classification process involved two neurologists, with a third expert making the final decision when needed (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure S1</xref>).</p>
<p>Patients meeting all the following criteria were included in ICAS-LVOS group, based on the definition proposed by European Stroke Organization (<xref ref-type="bibr" rid="ref6">6</xref>): &#x2460; adult AIS patients verified intracranial LVO by DSA and undergoing thrombectomy; &#x2461; residual fixed stenosis that measured &#x003E;50% after several passes of thrombectomy devices or the implantation of a stent; &#x2462; TOAST classification indicating large-artery atherosclerosis. Additionally, characteristic features such as evidence of hypoperfusion or watershed infarction, truncal-type occlusion and early reocclusion aided in patient classification. We excluded patients with evidence of AF to prevent confounding factors (<xref ref-type="fig" rid="fig1">Figure 1A</xref>).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>The digital subtraction angiography images of three different groups. <bold>(A)</bold> A1-3 were from a patient of ICAS-LVO. A1 was the initial angiography with the occlusion of the left middle cerebral artery. A2 was the image after mechanical thrombectomy by the stent retriever with residual severe stenosis. A3 was the image after ballon dilating and stent implanting with the stenosis improved. <bold>(B)</bold> B1-2 were from a patient of AF-LVO with a history of atrial fibrillation of more than a decade and irregularly application of anticoagulation before the onset. B1 was the initial angiography with the occlusion of the left middle cerebral artery. B2 was the image after mechanical thrombectomy without any stenosis left. <bold>(C)</bold> C was the initial angiography from a patient of sICAS without the occlusion.</p>
</caption>
<graphic xlink:href="fneur-17-1753192-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Panel A shows three angiographic images labeled one through three under the heading ICAS-LVOS, each displaying cerebral vasculature with visible narrowing or blockage. Panel B includes two images labeled one and two under AF-LVOS, showing similar angiographic views with distinct vascular occlusion patterns. Panel C presents one image labeled non-LVO sICAS, displaying cerebral vessels without large vessel occlusion.</alt-text>
</graphic>
</fig>
<p>Patients meeting all the following criteria were included in AF-LVOS group: &#x2460; adult AIS patients verified intracranial LVO by DSA and undergoing thrombectomy; &#x2461; no residual stenosis after thrombectomy; &#x2462; diagnosis of AF by electrocardiogram in medical history, at hopsital or during follow-up; &#x2463; TOAST classification indicating cardiac embolism (<xref ref-type="fig" rid="fig1">Figure 1B</xref>). To reduce confounding heterogeneity from other, less common cardioembolic sources with distinct pathophysiological mechanisms (e.g., valve replacement, left ventricular thrombus), this study specifically focused on AF as the most prevalent and etiologically homogeneous embolic origin, thereby facilitating a more precise comparison with the ICAS-LVOS group.</p>
<p>Patients meeting all the following criteria were included in sICAS group: &#x2460; adult patients with AIS attributed to 50&#x2013;99% stenosis of main intracranial arteries assessed by CTA or DSA when they arrived at the emergency; &#x2461; a new, acute cerebral infarction attributable to the qualifying stenosis confirmed on diffusion-weighted imaging (DWI) by magnetic resonance (MR);. &#x2462; TOAST classification indicating large-artery atherosclerosis. Patients with AF or stenosis resulting from other causes were also excluded (<xref ref-type="fig" rid="fig1">Figure 1C</xref>).</p>
</sec>
<sec id="sec5">
<title>Data collection</title>
<p>For all participants across the three groups, we gathered baseline clinical data encompassing demographics, risk factors, onset-to-door time, NIH Stroke Scale (NIHSS) scores, and blood pressure readings, upon admission. All laboratory tests were performed on blood samples collected at emergency department admission as part of standardized protocol in our center, prior to any therapeutic intervention such as IVT or EVT. Additionally, for ICAS-related LVOS patients, we examined surgical records to ascertain whether specific thrombi were retrieved using thrombectomy devices, serving as a measure of thrombus burden. We also documented the number of passes made with stent retrievers during the procedure and noted any medical therapies administered during hospitalization, including IVT.</p>
</sec>
<sec id="sec6">
<title>The validation cohort</title>
<p>To further validate the preliminary findings, we established a validation cohort comprising consecutive LVOS patients immediately following the derivation cohort from February 2023 to December 2024. This cohort was sourced from the same prospectively maintained registry and strictly adhered to the identical inclusion and exclusion criteria as the derivation cohort. The purpose was to provide an enternal temporal validation for distinguishing value of the observations in ICAS-LVOS patients (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure S2</xref>).</p>
</sec>
<sec id="sec7">
<title>Statistical analyses</title>
<p>The baseline characteristics and laboratory results were presented as frequencies (percentage) for categorical variables, mean &#x00B1; standard deviation (SD) for continuous variables with a normal distribution, and median (interquartile range, IQR) for continuous variables with a non-normal distribution. Differences among subgroups for categorical variables were analyzed using Pearson&#x2019;s chi-square tests or Fisher&#x2019;s exact tests, while Mann&#x2013;Whitney tests were employed for continuous variables, as appropriate. Logistic multivariate regression modeling was utilized to identify critical characteristics of ICAS-LVOS compared to AF-LVOS or sICAS. Continuous variables demonstrating significant nonlinearity were log-transformed. Only factors exhibiting significance at <italic>p</italic>&#x202F;&#x003C;&#x202F;0.1 in univariate analyses were included in the multivariate analysis. Additionly, interactions analyses were tested between observed inter-group differences and sex in multivariate models. The receiver operating characteristic (ROC) curve was utilized to calculate the pre-diagnostic role and the cut-off value. All tests were two-tailed, with <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05 considered statistically significant. All statistical analyses were performed using SPSS version 26.0.</p>
</sec>
</sec>
<sec sec-type="results" id="sec8">
<title>Results</title>
<p>After screening and exclusions, the final analysis was comprised 70 patients with ICAS-LVOS, 78 patients with AF-LVOS and 131 with sICAS from January 2017 to January 2023. Among the 148 LVOS patients, the mean age was 68.77&#x202F;&#x00B1;&#x202F;12.04&#x202F;years, with 95 out of 148 (64.2%) being male. In the 201 ICAS patients, the mean age was 64.16&#x202F;&#x00B1;&#x202F;11.97&#x202F;years, with 152 out of 201 (75.6%) being male, which was consistent with major ICAS trials.</p>
<sec id="sec9">
<title>Comparison in LVOS patients</title>
<p>To investigate the unique characteristics of ICAS-LVOS, we compared them with non-valvular AF-LVOS, another common cause of LVOS with good internal homogeneity. It was found that ICAS-LVOS patients were more likely to be males, younger, had higher body mass index (BMI), were more likely to be smokers, had longer onset-to-door time, lower NIHSS scores, and had a higher prevalence of infarcts in the posterior circulation compared to AF-LVOS. Regarding laboratory results, ICAS-LVOS patients had higher white blood cell (WBC) counts, lower international normalized ratio (INR), higher fibrinogen levels, lower D-dimer levels, higher cholesterol levels and higher triglyceride levels. After logistic multivariate regression analysis, younger age [odds ratio (OR): 0.898; 95%CI: 0.831&#x2013;0.971, <italic>p</italic>&#x202F;=&#x202F;0.007], previous stroke (OR: 6.672, 95%CI: 1.183&#x2013;37.620; <italic>p</italic>&#x202F;=&#x202F;0.031), posterior circulation (OR: 30.299, 95%CI: 2.157&#x2013;425.554; <italic>p</italic>&#x202F;=&#x202F;0.011), higher levels of fibrinogen (OR: 3.421, 95%CI: 1.428&#x2013;8.194; <italic>p</italic>&#x202F;=&#x202F;0.006) were independently associated with ICAS as underlying etiology of LVOS (<xref ref-type="table" rid="tab1">Table 1</xref>). Interaction analyses revealed no significant effect modificated by sex (all p for interaction&#x2265;0.05), indicating the pattern of differences observed in this study was consistent in both men and women (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table S1</xref>).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Baseline clinical characteristics and lab results of ICAS-LVOS and AF-LVOS patients.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th rowspan="2">Variables</th>
<th align="center" valign="top" rowspan="2">ICAS-LVO<break/>(<italic>n</italic> =&#x202F;70)</th>
<th align="center" valign="top" rowspan="2">AF-LVO<break/>(<italic>n</italic> =&#x202F;78)</th>
<th align="center" valign="top" rowspan="2"><italic>p-</italic>Value</th>
<th align="center" valign="top" colspan="2">Multivariate analysis</th>
</tr>
<tr>
<th align="center" valign="top">OR (95%CI)</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Sex, male, <italic>n</italic> (%)</td>
<td align="center" valign="middle">54 (77.1)</td>
<td align="center" valign="middle">41 (52.6)</td>
<td align="center" valign="middle"><bold>0.002</bold></td>
<td align="center" valign="middle">1.166 (0.244&#x2013;5.573)</td>
<td align="center" valign="middle">0.847</td>
</tr>
<tr>
<td align="left" valign="middle">Age, years, median (IQR)</td>
<td align="center" valign="middle">65.5 (55.0&#x2013;73.0)</td>
<td align="center" valign="middle">75.0 (69.0&#x2013;79.0)</td>
<td align="center" valign="middle"><bold>&#x003C;0.001</bold></td>
<td align="center" valign="middle">0.898 (0.831&#x2013;0.971)</td>
<td align="center" valign="middle"><bold>0.007</bold></td>
</tr>
<tr>
<td align="left" valign="middle">BMI, median (IQR)</td>
<td align="center" valign="middle">25.1 (23.7&#x2013;28.3)</td>
<td align="center" valign="middle">23.7 (22.2&#x2013;26.0)</td>
<td align="center" valign="middle"><bold>0.010</bold></td>
<td align="center" valign="middle">1.068 (0.893&#x2013;1.278)</td>
<td align="center" valign="middle">0.46</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="6">Risk factors, <italic>n</italic> (%)</td>
</tr>
<tr>
<td align="left" valign="middle">Previous stroke</td>
<td align="center" valign="middle">18 (25.7)</td>
<td align="center" valign="middle">11 (14.1)</td>
<td align="center" valign="middle">0.076</td>
<td align="center" valign="middle">6.672 (1.183&#x2013;37.620)</td>
<td align="center" valign="middle"><bold>0.031</bold></td>
</tr>
<tr>
<td align="left" valign="middle">Diabetes Mellitus</td>
<td align="center" valign="middle">19 (27.1)</td>
<td align="center" valign="middle">17 (21.8)</td>
<td align="center" valign="middle">0.449</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Hypertension</td>
<td align="center" valign="middle">50 (71.4)</td>
<td align="center" valign="middle">51 (65.4)</td>
<td align="center" valign="middle">0.430</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Coronary artery diseases</td>
<td align="center" valign="middle">5 (7.1)</td>
<td align="center" valign="middle">13 (16.7)</td>
<td align="center" valign="middle">0.077</td>
<td align="center" valign="middle">2.887 (0.386&#x2013;21.612)</td>
<td align="center" valign="middle">0.302</td>
</tr>
<tr>
<td align="left" valign="middle">Smoke</td>
<td align="center" valign="middle">34 (48.6)</td>
<td align="center" valign="middle">20 (25.6)</td>
<td align="center" valign="middle"><bold>0.004</bold></td>
<td align="center" valign="middle">0.461 (0.089&#x2013;2.391)</td>
<td align="center" valign="middle">0.356</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="6">Status at admission, median (IQR)</td>
</tr>
<tr>
<td align="left" valign="middle">OTD time, hours</td>
<td align="center" valign="middle">4.9 (2.0&#x2013;9.4)</td>
<td align="center" valign="middle">2.9 (1.1&#x2013;6.0)</td>
<td align="center" valign="middle"><bold>0.039</bold></td>
<td align="center" valign="middle">1.065 (0.934&#x2013;1.215)</td>
<td align="center" valign="middle">0.344</td>
</tr>
<tr>
<td align="left" valign="middle">NIHSS at admission</td>
<td align="center" valign="middle">12.0 (9.5&#x2013;19.0)</td>
<td align="center" valign="middle">17.0 (14.0&#x2013;21.0)</td>
<td align="center" valign="middle"><bold>0.002</bold></td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">SBP, mmHg</td>
<td align="center" valign="middle">145.5 (130.0&#x2013;169.0)</td>
<td align="center" valign="middle">144.0 (134.0&#x2013;163.0)</td>
<td align="center" valign="middle">0.905</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">DBP, mmHg</td>
<td align="center" valign="middle">80.5 (73.0&#x2013;90.0)</td>
<td align="center" valign="middle">82.0 (72.0&#x2013;89.0)</td>
<td align="center" valign="middle">0.980</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Location, <italic>n</italic> (%)</td>
<td/>
<td/>
<td align="center" valign="middle"><bold>0.001</bold></td>
<td align="center" valign="middle">30.299 (2.157&#x2013;425.554)</td>
<td align="center" valign="middle"><bold>0.011</bold></td>
</tr>
<tr>
<td align="left" valign="middle">Anterior circulation</td>
<td align="center" valign="middle">48 (68.6)</td>
<td align="center" valign="middle">71 (91.0)</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Posterior circulation</td>
<td align="center" valign="middle">22 (31.4)</td>
<td align="center" valign="middle">7 (9.0)</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Previous anticoagulants, <italic>n</italic> (%)</td>
<td align="center" valign="middle">0 (0)</td>
<td align="center" valign="middle">26 (33.3)</td>
<td align="center" valign="middle"><bold>&#x003C;0.001</bold></td>
<td align="center" valign="middle">0.000 (0.000-&#x221E;)</td>
<td align="center" valign="middle">0.997</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="6">Lab results, median (IQR)</td>
</tr>
<tr>
<td align="left" valign="middle">Blood glucose, mmol/L</td>
<td align="center" valign="middle">6.9 (5.9&#x2013;10.5)</td>
<td align="center" valign="middle">7.1 (6.4&#x2013;8.5)</td>
<td align="center" valign="middle">0.991</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">WBC, &#x002A;10^9/L</td>
<td align="center" valign="middle">9.1 (7.4&#x2013;11.9)</td>
<td align="center" valign="middle">7.7 (6.4&#x2013;9.9)</td>
<td align="center" valign="middle"><bold>0.013</bold></td>
<td align="center" valign="middle">1.004 (0.840&#x2013;1.199)</td>
<td align="center" valign="middle">0.969</td>
</tr>
<tr>
<td align="left" valign="middle">INR</td>
<td align="center" valign="middle">0.98 (0.94&#x2013;1.02)</td>
<td align="center" valign="middle">1.03 (0.98&#x2013;1.10)</td>
<td align="center" valign="middle"><bold>&#x003C;0.001</bold></td>
<td align="center" valign="middle">0.000 (0.000&#x2013;59.237)</td>
<td align="center" valign="middle">0.167</td>
</tr>
<tr>
<td align="left" valign="middle">Fibrinogen, g/L</td>
<td align="center" valign="middle">3.2 (2.6&#x2013;4.0)</td>
<td align="center" valign="middle">2.7 (2.3&#x2013;3.3)</td>
<td align="center" valign="middle"><bold>0.001</bold></td>
<td align="center" valign="middle">3.421 (1.428&#x2013;8.194)</td>
<td align="center" valign="middle"><bold>0.006</bold></td>
</tr>
<tr>
<td align="left" valign="middle">D-dimer, mg/L</td>
<td align="center" valign="middle">0.42 (0.28&#x2013;0.94)</td>
<td align="center" valign="middle">1.02 (0.50&#x2013;2.62)</td>
<td align="center" valign="middle"><bold>&#x003C;0.001</bold></td>
<td align="center" valign="middle">0.346 (0.077&#x2013;1.556)</td>
<td align="center" valign="middle">0.167</td>
</tr>
<tr>
<td align="left" valign="middle">LDL-C, mmol/L</td>
<td align="center" valign="middle">2.5 (1.8&#x2013;3.2)</td>
<td align="center" valign="middle">2.4 (1.9&#x2013;3.0)</td>
<td align="center" valign="middle">0.814</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Cholesterol, mmol/L</td>
<td align="center" valign="middle">4.6 (3.7&#x2013;5.3)</td>
<td align="center" valign="middle">4.2 (3.3&#x2013;4.7)</td>
<td align="center" valign="middle"><bold>0.041</bold></td>
<td align="center" valign="middle">1.030 (0.519&#x2013;2.043)</td>
<td align="center" valign="middle">0.933</td>
</tr>
<tr>
<td align="left" valign="middle">Triglyceride, mmol/L</td>
<td align="center" valign="middle">1.3 (0.9&#x2013;1.9)</td>
<td align="center" valign="middle">1.0 (0.6&#x2013;1.4)</td>
<td align="center" valign="middle"><bold>&#x003C;0.001</bold></td>
<td align="center" valign="middle">2.164 (0.796&#x2013;5.886)</td>
<td align="center" valign="middle">0.131</td>
</tr>
<tr>
<td align="left" valign="middle">Homocysteine, &#x03BC;mol/L</td>
<td align="center" valign="middle">13.4 (10.7&#x2013;18.2)</td>
<td align="center" valign="middle">13.3 (10.2&#x2013;18.1)</td>
<td align="center" valign="middle">0.789</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Intravenous thrombolysis</td>
<td align="center" valign="middle">28 (40.0)</td>
<td align="center" valign="middle">28 (35.9)</td>
<td align="center" valign="middle">0.607</td>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>ICAS, Intracranial atherosclerotic stenosis; AF, atrial fibrillation; LVOS, Large artery occlusion stroke; IQR, Interquartile range; BMI, Body mass index; OTD, Onset-to-door; NIHSS, NIH stroke scale; SBP, Systolic blood pressure; DBP, Diastolic blood pressure; WBC, White blood cells; INR, International Normalized Ratio; LDL-C, Low-density Lipoprotein Cholesterol.Bold values indicate statistically significant differences (<italic>p</italic> &#x003C;0.05).</p>
</table-wrap-foot>
</table-wrap>
<p>Given that fibrinogen serves as a substrate while D-dimer as a degradation product in thrombosis, we therefore assessed the discriminative capacity of fibrinogen, D-dimer, and their ratio (FIB/DD) in identifying ICAS-LVOS from AF-LVOS patients. ROC analysis confirmed that the FIB/DD ratio achieved the highest AUC (0.731, 95% CI, 0.647&#x2013;0.815) compared to isolated fibrinogen (AUC&#x202F;=&#x202F;0.667) or D-dimer (AUC&#x202F;=&#x202F;0.698) (<xref ref-type="fig" rid="fig2">Figure 2A</xref>). The option cutoff value of FIB/DD was 6 in the derivation cohort with the sensitivity of 62.9% and specificity of 78.4%. In the validation cohort with 74 ICAS-LVOS patients, 82 AF-LVOS patients, 24 LVOS patients attributed to extracranial atherosclerosis, 10 valve replacement, 3 infective endocarditis, 4 patent foreman oval, 7 other cardiac embolism and 46 other reason or undetermined reason from February 2023 to December 2024, the pre-diagnostic role of FIB/DD&#x202F;&#x2265;&#x202F;6 was still reliable, showing an AUC value of 0.724 (95% CI, 0.642&#x2013;0.806) for differentiating ICAS-LVOS and AF-LVOS and 0.675 (95% CI, 0.600&#x2013;0.751) for predicting ICAS-LVOS from all LVOS patients, with high specificity (<xref ref-type="fig" rid="fig2">Figures 2B</xref>,<xref ref-type="fig" rid="fig2">C</xref>).</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>The receiver operating characteristic curves of FIB/DD. <bold>(A)</bold> The derivation cohort. <bold>(B)</bold> The validation cohort with 74 ICAS-LVOS patients and 82 AF-LVOS patients. <bold>(C)</bold> The validation cohort with 74 ICAS-LVOS patients and 176 LVOS patients of all other causes except ICAS-LVOS. Abbreviations: FIB: fibrinogen; D-D: D-dimer; AUC: area under the curve.</p>
</caption>
<graphic xlink:href="fneur-17-1753192-g002.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Panel A shows three ROC curves for FIB/DD, FIB, and DD tests in the derivation cohort, with area under the curve (AUC) values of 0.731, 0.667, and 0.698, respectively. Panel B displays a single ROC curve for FIB/DD &#x2265; 6 in the validation cohort for differentiating ICAS-LVO from AF-LVO, with AUC value of 0.724. Panel C shows a single ROC curve for FIB/DD &#x2265; 6 in the validation cohort for differentiating ICAS-LVO from all other causes of LVO, with  AUC value of 0.675.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec10">
<title>Comparison in ICAS patients</title>
<p>To further elucidate the critical factors promoting the in-situ thrombosis and occlusion of large artery in ICAS patients, we compared ICAS-LVOS patients with ICAS-AIS without LVOS. Larger BMI, higher NIHSS scores, higher WBC counts, higher fibrinogen levels were found in ICAS-LVOS patients compared to sICAS (ICAS-non-LVOS). Logistic multivariate regression revealed that higher levels of BMI (OR: 1.176, 95%CI: 1.059&#x2013;1.306; <italic>p</italic>&#x202F;=&#x202F;0.002), WBC (OR: 1.234, 95%CI: 1.083&#x2013;1.406; <italic>p</italic>&#x202F;=&#x202F;0.002), and fibrinogen levels (OR: 1.600, 95%CI: 1.049&#x2013;2.440; <italic>p</italic>&#x202F;=&#x202F;0.029) were significantly associated with ICAS-LVOS. (<xref ref-type="table" rid="tab2">Table 2</xref>).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Baseline clinical characteristics and lab results of ICAS-LVOS and sICAS patients.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th rowspan="2">Variables</th>
<th align="center" valign="top" rowspan="2">ICAS-LVOS<break/>(<italic>n</italic> =&#x202F;70)</th>
<th align="center" valign="top" rowspan="2">sICAS<break/>(<italic>n</italic> =&#x202F;131)</th>
<th align="center" valign="top" rowspan="2"><italic>p-</italic>value</th>
<th align="center" valign="top" colspan="2">Multivariate analysis</th>
</tr>
<tr>
<th align="center" valign="top">OR (95% CI)</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Sex, male, <italic>n</italic> (%)</td>
<td align="center" valign="middle">54 (77.1)</td>
<td align="center" valign="middle">98 (74.8)</td>
<td align="center" valign="middle">0.714</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Age, years, median (IQR)</td>
<td align="center" valign="middle">65.5 (55.0&#x2013;73.0)</td>
<td align="center" valign="middle">65.0 (57.0&#x2013;73.0)</td>
<td align="center" valign="middle">0.602</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">BMI, median (IQR) <sup>a</sup></td>
<td align="center" valign="middle">25.1 (23.7&#x2013;28.3)</td>
<td align="center" valign="middle">23.9 (22.3&#x2013;26.2)</td>
<td align="center" valign="middle"><bold>0.004</bold></td>
<td align="center" valign="middle">1.176 (1.059&#x2013;1.306)</td>
<td align="center" valign="middle"><bold>0.002</bold></td>
</tr>
<tr>
<td align="left" valign="middle" colspan="6">Risk factors, <italic>n</italic> (%)</td>
</tr>
<tr>
<td align="left" valign="middle">Previous stroke</td>
<td align="center" valign="middle">18 (25.7)</td>
<td align="center" valign="middle">29 (22.1)</td>
<td align="center" valign="middle">0.568</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Diabetes Mellitus</td>
<td align="center" valign="middle">19 (27.1)</td>
<td align="center" valign="middle">53 (40.5)</td>
<td align="center" valign="middle">0.061</td>
<td align="center" valign="middle">0.530 (0.253&#x2013;1.114)</td>
<td align="center" valign="middle">0.094</td>
</tr>
<tr>
<td align="left" valign="middle">Hypertension</td>
<td align="center" valign="middle">50 (71.4)</td>
<td align="center" valign="middle">105 (80.2)</td>
<td align="center" valign="middle">0.161</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Coronary artery diseases</td>
<td align="center" valign="middle">5 (7.1)</td>
<td align="center" valign="middle">8 (6.1)</td>
<td align="center" valign="middle">&#x003E;0.99</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Smoke</td>
<td align="center" valign="middle">34 (48.6)</td>
<td align="center" valign="middle">63 (48.1)</td>
<td align="center" valign="middle">0.948</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle" colspan="6">Status at admission, median (IQR)</td>
</tr>
<tr>
<td align="left" valign="middle">OTD time, hours</td>
<td align="center" valign="middle">4.9 (2.0&#x2013;9.4)</td>
<td align="center" valign="middle">4.2 (2.1&#x2013;10.4)</td>
<td align="center" valign="middle">0.756</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">NIHSS at admission</td>
<td align="center" valign="middle">12.0 (9.5&#x2013;19.0)</td>
<td align="center" valign="middle">4.0 (2.0&#x2013;9.0)</td>
<td align="center" valign="middle"><bold>&#x003C;0.001</bold></td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">SBP, mmHg</td>
<td align="center" valign="middle">145.5 (130.0&#x2013;169.0)</td>
<td align="center" valign="middle">153.0 (138.0&#x2013;174.0)</td>
<td align="center" valign="middle">0.082</td>
<td align="center" valign="middle">0.987 (0.973&#x2013;1.001)</td>
<td align="center" valign="middle">0.069</td>
</tr>
<tr>
<td align="left" valign="middle">DBP, mmHg</td>
<td align="center" valign="middle">80.5 (73.0&#x2013;90.0)</td>
<td align="center" valign="middle">84.0 (77.0&#x2013;92.5)</td>
<td align="center" valign="middle">0.103</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Anterior circulation, <italic>n</italic> (%)</td>
<td align="center" valign="middle">48 (68.6)</td>
<td align="center" valign="middle">94 (71.8)</td>
<td align="center" valign="middle">0.637</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle" colspan="6">Lab results, median (IQR)</td>
</tr>
<tr>
<td align="left" valign="middle">Blood glucose, mmol/L</td>
<td align="center" valign="middle">6.9 (5.9&#x2013;10.5)</td>
<td align="center" valign="middle">7.0 (5.8&#x2013;9.5)</td>
<td align="center" valign="middle">0.655</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">WBC, &#x002A;10^9/L</td>
<td align="center" valign="middle">9.1 (7.4&#x2013;11.9)</td>
<td align="center" valign="middle">7.6(6.2&#x2013;9.5)</td>
<td align="center" valign="middle"><bold>0.001</bold></td>
<td align="center" valign="middle">1.234 (1.083&#x2013;1.406)</td>
<td align="center" valign="middle"><bold>0.002</bold></td>
</tr>
<tr>
<td align="left" valign="middle">INR</td>
<td align="center" valign="middle">0.98 (0.94&#x2013;1.02)</td>
<td align="center" valign="middle">0.96 (0.92&#x2013;1 0.00)</td>
<td align="center" valign="middle">0.054</td>
<td align="center" valign="middle">17.388 (0.204&#x2013;1479.3)</td>
<td align="center" valign="middle">0.208</td>
</tr>
<tr>
<td align="left" valign="middle">Fibrinogen, g/L</td>
<td align="center" valign="middle">3.2 (2.6&#x2013;4.0)</td>
<td align="center" valign="middle">2.9 (2.5&#x2013;3.4)</td>
<td align="center" valign="middle"><bold>0.025</bold></td>
<td align="center" valign="middle">1.600 (1.049&#x2013;2.440)</td>
<td align="center" valign="middle"><bold>0.029</bold></td>
</tr>
<tr>
<td align="left" valign="middle">D-dimer, mg/L <sup>b</sup></td>
<td align="center" valign="middle">0.42 (0.28&#x2013;0.94)</td>
<td align="center" valign="middle">0.40 (0.22&#x2013;0.89)</td>
<td align="center" valign="middle">0.382</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">LDL-C, mmol/L <sup>c</sup></td>
<td align="center" valign="middle">2.5 (1.8&#x2013;3.2)</td>
<td align="center" valign="middle">2.8 (2.2&#x2013;3.2)</td>
<td align="center" valign="middle">0.126</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Cholesterol, mmol/L</td>
<td align="center" valign="middle">4.6 (3.7&#x2013;5.3)</td>
<td align="center" valign="middle">4.3 (3.7&#x2013;5.2)</td>
<td align="center" valign="middle">0.699</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Triglyceride, mmol/L</td>
<td align="center" valign="middle">1.3 (0.9&#x2013;1.9)</td>
<td align="center" valign="middle">1.4 (1.0&#x2013;2.0)</td>
<td align="center" valign="middle">0.134</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Homocysteine, &#x03BC;mol/L <sup>d</sup></td>
<td align="center" valign="middle">13.4 (10.7&#x2013;18.2)</td>
<td align="center" valign="middle">12.8 (10.1&#x2013;16.8)</td>
<td align="center" valign="middle">0.789</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Intravenous thrombolysis</td>
<td align="center" valign="middle">28 (40.0)</td>
<td align="center" valign="middle">42 (32.1)</td>
<td align="center" valign="middle">0.260</td>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>sICAS, Symptomatic Intracranial atherosclerotic stenosis.Bold values indicate statistically significant differences (<italic>p</italic> &#x003C;0.05).</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec11">
<title>Thrombus burden in ICAS-LVOS patients</title>
<p>Moreover, to explore the role of fibrinogen in the thrombosis of ICAS-LVOS, we classified these patients into two subgroups: those with and without thrombus extracted by thrombectomy devices such as stent retrievers or aspiration catheters, reflecting the burden level of thrombus. Comparisons were made between the two subgroups, indicating that the group with thrombus extracted had more hypertension, less infarcts in the anterior circulation, higher WBC counts, higher fibrinogen levels and higher homocysteine levels. Similarly, logistic multivariate analysis indicated that a higher proportion of hypertension (OR: 6.071, 95%CI: 1.200&#x2013;30.708; <italic>p</italic>&#x202F;=&#x202F;0.029) and higher levels and fibrinogen (OR: 2.322, 95%CI: 1.015&#x2013;5.313; <italic>p</italic>&#x202F;=&#x202F;0.046) (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table S2</xref>) were associated with a higher burden of thrombus, confirming the essential promoting effect fibrinogen in the thrombosis and occlusion of large vessels in ICAS patients.</p>
</sec>
<sec id="sec12">
<title>Intravenous thrombolysis in ICAS-LVOS patients</title>
<p>On the basis of the association between fibrinogen and thrombus burden, we investigated whether fibrinogen is related to the complexity of thrombectomy. We analyzed the association between fibrinogen levels and the number of thrombectomy device passes. There was no obvious relationship between them (<italic>p</italic>&#x202F;=&#x202F;0.211). However, in patients who received IVT, the correlation was significant. IVT patients with higher level of fibrinogen underwent more thrombectomy trials (<italic>p</italic>&#x202F;=&#x202F;0.002), suggesting a potential benefit of IVT preceding MT in ICAS-LVOS patients (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure S3</xref>). Additionally, we compared the number of thrombectomy device passes between patients with and without IVT. We observed a trend where more patients who received IVT underwent 0&#x2013;1 pass of stent retrievers for thrombectomy compared to those without IVT (86% vs. 67%, <italic>p</italic>&#x202F;=&#x202F;0.074). This trend was particularly notable in patients with lower levels of fibrinogen (fibrinogen &#x003C;3.2&#x202F;g/L, which was the median cutoff), where the difference in the reduction of thrombectomy trials with IVT was more significant (94% vs. 60%, <italic>p</italic>&#x202F;=&#x202F;0.033; <xref ref-type="fig" rid="fig3">Figure 3</xref>).</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>The Association between Thrombolysis and the Number of Mechanical Thrombectomy in ICAS-LVOS Patients with High/Low Burden of Fibrinogen.</p>
</caption>
<graphic xlink:href="fneur-17-1753192-g003.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Bar chart compares the percentage of thrombectomy device passes (zero to one versus more than one) between intravenous thrombolysis and no thrombolysis across all patients, those with fibrinogen less than three point two grams per liter, and those with fibrinogen greater than or equal to three point two grams per liter, including p-values and patient counts for each subgroup.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="sec13">
<title>Discussion</title>
<p>ICAS-LVOS represents a newly recognized condition emerging alongside the widespread use of MT in patients with LVOS (<xref ref-type="bibr" rid="ref4">4</xref>). Fewer investigations delved into the underlying pathology, particularly why only a subset of patients with ICAS developed LVOS. In our study, we addressed this gap by uncovering the pivotal role of fibrinogen in thrombosis and LVOS occurrence in ICAS patients in real-world practice. Initially, we compared the clinical characteristics and lab results of ICAS-LVOS with AF-LVOS patients and found higher fibrinogen levels significantly associated with ICAS-LVOS. Subsequently, we contrasted ICAS-LVOS with non-LVOS ICAS patients, confirming fibrinogen&#x2019;s crucial contribution to LVO-associated thrombosis in ICAS. Our analysis of ICAS-LVOS patients with and without extracted thrombi revealed a strong correlation between fibrinogen levels and extensive clot formation. Finally, we investigated the interplay among fibrinogen, IVT, and thrombectomy complexity, discovering that IVT could reduce the number of thrombectomy device passes, particularly in patients with lower fibrinogen levels.</p>
<p>Previous study had figured out the distinct comorbidities between embolism-LVOS and ICAS-LVOS patients (<xref ref-type="bibr" rid="ref7">7</xref>, <xref ref-type="bibr" rid="ref8">8</xref>). In our study, we described the unique characteristics of age, times of stroke, position and distinct levels of fibrinogen in etiologically different patients. In the similar process of thrombosis and LVOS, the reason why the level of fibrinogen was elevated in ICAS-LVOS patients remained uncertain. Retrospectively, numerous studies have identified hyperfibrinogenemia as an independent risk factor for ASCVD and stroke (<xref ref-type="bibr" rid="ref9">9</xref>, <xref ref-type="bibr" rid="ref10">10</xref>). Within the stroke domain, fibrinogen has been associated with etiology classification, clot burden and clinical outcome (<xref ref-type="bibr" rid="ref11 ref12 ref13 ref14 ref15">11&#x2013;15</xref>). A study has indicated increased fibrinogen in both LAA and CE strokes, with the former accompanied by inflammatory profiles like C-reactive proteins, while the latter by prothrombotic profiles like D-dimers (<xref ref-type="bibr" rid="ref12">12</xref>), reminding inflammation-driven coagulation in the former and coagulation-driven inflammation in the latter (<xref ref-type="bibr" rid="ref16">16</xref>). This emphasized the heterogeneous nature of LVOS thrombosis and the need for further understanding and tailored therapeutic approaches.</p>
<p>In our continued efforts to elucidate which subset of ICAS patients would develop LVOS, we conducted a secondary comparison and identified correlations between BMI, WBC counts, and fibrinogen levels in ICAS-associated LVOS compared to non-LVO solitary ICAS patients. It is evident that WBC represents an acute inflammatory response following stroke and is notably higher in LVOS patients (<xref ref-type="bibr" rid="ref17">17</xref>). Conversely, the influences of BMI and fibrinogen levels can be attributed to the degree of inflammation, particularly chronic aseptic inflammation, given their measurement as stable indicators over a relatively longer period. Fibrinogen, known as coagulation factor I, is converted to fibrin by thrombin, participating in the coagulation cascade, and typically considered as an acute-phase reactant synthesized by the liver under the activation of inflammatory mediator like interleukin-6 (<xref ref-type="bibr" rid="ref9">9</xref>, <xref ref-type="bibr" rid="ref16">16</xref>). However, it was demonstrated that the level of fibrinogen remained stable in the first 24&#x202F;h after stroke onset, and peaked until over 3&#x202F;days or longer (<xref ref-type="bibr" rid="ref14">14</xref>, <xref ref-type="bibr" rid="ref15">15</xref>, <xref ref-type="bibr" rid="ref18">18</xref>). Therefore, in our study, fibrinogen levels were measured at admission without any treatment, suggesting that they reflect the chronic inflammatory state preceding thrombosis. This underscores the intricate interplay between inflammation, atherosclerosis, and thrombosis, necessitating a comprehensive understanding for effective therapeutic interventions.</p>
<p>As previously discussed, the characteristic of ICAS-LVOS was inflammation-driven coagulation. Consequently, it is plausible to hypothesize that individuals with higher levels of inflammatory could be predisposed to unstable plaque rupture and subsequent LVOS. This hypothesis finds parallels in the realm of acute coronary syndrome (ACS), where those ruptured fibrous cap (RFC) exhibits markedly elevated levels of interleukin-6 and other inflammatory proteome expression compared with intact fibrous cap (IFC) (<xref ref-type="bibr" rid="ref19">19</xref>). Interestingly, RFC-associated ACS involves plaque rupture, while IFC-associated ACS is attributed to plaque erosion, leading to different clot characteristics (<xref ref-type="bibr" rid="ref20">20</xref>). A case report detailing the occlusion of the basilar artery in ICAS- LVOS has indicated a similar mechanism of IFC. Regretfully, the widespread prevalence of this phenomenon in ICAS-associated LVOS remains unknown (<xref ref-type="bibr" rid="ref21">21</xref>). Future research endeavors should prioritize elucidating this aspect, as it holds implications for tailored therapeutic strategies. It has been proved that plaques exhibiting IFC may benefit more from anti-thrombotic therapies (<xref ref-type="bibr" rid="ref22">22</xref>).</p>
<p>Moreover, our study identified hypertension as a key factor associated with greater thrombus burden in ICAS-LVOS. On one hand, hypertension fosters a systemic pro-inflammatory state, which upregulates fibrinogen synthesis (<xref ref-type="bibr" rid="ref23">23</xref>). The environment of elevated fibrinogen levels have been demonstrated to confer mechanical stability to clots, increasing their rigidity and impairing permeability (<xref ref-type="bibr" rid="ref24">24</xref>). It correlated with the poor clinical outcomes following IVT in higher fibrinogen levels (<xref ref-type="bibr" rid="ref14">14</xref>, <xref ref-type="bibr" rid="ref15">15</xref>). On the other hand, hypertension may directly promote a pro-thrombotic state, contributing to the formation of clots with a more compact fibrin network and a predisposition toward hypofibrinolysis (<xref ref-type="bibr" rid="ref25">25</xref>). These unfavorably altered fibrin clot properties can contribute to a higher thrombus burden. Therefore, rigorous management of hypertension and elevated fibrinogen levels emerges as a potential therapeutic strategy to mitigate thrombus burden and possibly improve EVT outcomes in ICAS-LVOS.</p>
<p>The challenges of early and recurrent reocclusion persist in the endovascular treatment. Several retrospective studies have revealed the potential rescue therapies (<xref ref-type="bibr" rid="ref26">26</xref>). Nevertheless, the utility of pretreatment before thrombectomy remains uncertain. While direct thrombectomy has not proven inferior to bridging thrombectomy with IVT (<xref ref-type="bibr" rid="ref27">27</xref>), Asian patients, who exhibit a higher prevalence of ICAS-LVOS, may derive greater benefit from bridging therapy (<xref ref-type="bibr" rid="ref28">28</xref>). Latest study has demonstrated the prevailage of IVT with tenecteplase before thrombectomy (<xref ref-type="bibr" rid="ref29">29</xref>). Our study also observed a signal that the reduction in thrombectomy device passes associated with IVT appeared more pronounced in the subgroup of ICAS-LVOS patients with lower fibrinogen levels, although it is critical to note that this subgroup analysis was underpowered due to the small sample size. Lower fibrinogen levels might enhance the penetration and efficacy of thrombolytic agents, facilitating early clot lysis and leading to fewer device passes, which aligns with the established role of IVT in promoting early recanalization (<xref ref-type="bibr" rid="ref27">27</xref>). Conversely, the observed attenuated effect in patients with high fibrinogen levels suggests that fibrinogen might act as a barrier to thrombolysis. This exploratory observation raises the possibility that future therapeutic strategies, such as the use of fibrinogen-lowering agents (e.g., fibrinogenase (<xref ref-type="bibr" rid="ref30">30</xref>)) or anti-inflammatory therapies, could be investigated to potentially improve outcomes in this specific patient population. However, any such implications are speculative at this stage and require rigorous future validation.</p>
<p>Our study had several limitations. Firstly, classification accuracy relied on diagnostic tests (CTA/DSA) and varied strategies of MT by different interventionalists. Potentially introducing misclassification biases. Secondly, being a cross-sectional study, it lacked longitudinal research on the association, thereby limiting the convincement of the causal link between fibrinogen and ICAS to some extent. Therefore, cohort studies are crucial to fully establish this relationship in the future. Thirdly, the analysis of IVT&#x2019;s effect on MT in ICAS-LVOS patients was limited by the small number of recruited patients. Adjusting for other confounding factors, such as onset-to-door time and the use of antiplatelet and heparins therapies, was not possible. Lastly, our study primarily focused on fibrinogen in the pathophysiology of ICAS-LVOS, but lifestyle factors, comorbidities, plaque characteristics, and inflammatory levels are also pivotal and should be included in forthcoming studies.</p>
</sec>
<sec sec-type="conclusions" id="sec14">
<title>Conclusion</title>
<p>In summary, this observational study highlights the role of fibrinogen in facilitating thrombosis and occurrence of LVOS in ICAS patients. The higher level of fibrinogen observed in ICAS-LVOS patients compared to AF-LVOS patients suggest two distinct mechanisms of thrombosis and provide a method of prediagnosis. Additionally, elevated fibrinogen levels in ICAS-LVOS patients compared to sICAS-non-LVOS patients indicate fibrinogen&#x2019;s contribution to thrombosis in this subgroup. Furthermore, fibrinogen levels correlate with thrombus burden, suggesting that IVT may alleviate the challenges of thrombectomy in patients with lower fibrinogen burden. These findings underscore the importance of fibrinogen as a potential target in the assessment and treatment strategies for ICAS-LVOS. Therapeutic interventions aimed at reducing fibrinogen levels, such as anti-inflammatory approaches to inhibit synthesis or fibrinogenase to degrade existing fibrinogen, hold promise for future benefits.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec15">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">Supplementary material</xref>, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec sec-type="ethics-statement" id="sec16">
<title>Ethics statement</title>
<p>The studies involving humans were approved by the Ethics Committee of Huashan Hospital, Fudan University (Approval number: 2024-074). 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="sec17">
<title>Author contributions</title>
<p>YimL: Data curation, Conceptualization, Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft, Formal analysis. HZ: Software, Methodology, Writing &#x2013; original draft, Data curation, Investigation, Formal analysis. YifL: Writing &#x2013; original draft, Data curation, Investigation. FC: Data curation, Investigation, Writing &#x2013; original draft. ZW: Investigation, Writing &#x2013; original draft, Data curation. YM: Data curation, Investigation, Writing &#x2013; original draft. QD: Funding acquisition, Writing &#x2013; review &#x0026; editing, Resources, Supervision. WC: Methodology, Conceptualization, Project administration, Validation, Supervision, Investigation, Writing &#x2013; original draft, Resources, Funding acquisition, Visualization, Formal analysis, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="COI-statement" id="sec18">
<title>Conflict of interest</title>
<p>The author(s) declared that this work 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="sec19">
<title>Generative AI statement</title>
<p>The author(s) declared that Generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="sec20">
<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>
<sec sec-type="supplementary-material" id="sec21">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fneur.2026.1753192/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fneur.2026.1753192/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Data_Sheet_1.pdf" id="SM1" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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<fn fn-type="custom" custom-type="edited-by" id="fn0002">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2154250/overview">Marta Iacobucci</ext-link>, Umberto 1 Hospital, Italy</p>
</fn>
<fn fn-type="custom" custom-type="reviewed-by" id="fn0003">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1128180/overview">Xiangying Du</ext-link>, Capital Medical University, China</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3149877/overview">Tamara Strohm</ext-link>, The University of North Carolina at Chapel Hill, United States</p>
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