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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2021.750114</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Immunology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Usefulness of Interleukin-18 as a Diagnostic Biomarker to Differentiate Adult-Onset Still&#x2019;s Disease With/Without Macrophage Activation Syndrome From Other Secondary Hemophagocytic Lymphohistiocytosis in Adults</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Shiga</surname><given-names>Toshihiko</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1419624"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Nozaki</surname><given-names>Yuji</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>*</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/898115"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Tomita</surname><given-names>Daisuke</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kishimoto</surname><given-names>Kazuya</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Hirooka</surname><given-names>Yasuaki</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1067505"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kinoshita</surname><given-names>Koji</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1179564"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Funauchi</surname><given-names>Masanori</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Matsumura</surname><given-names>Itaru</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Hematology and Rheumatology, Kindai University School of Medicine</institution>, <addr-line>Osaka</addr-line>, <country>Japan</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Rheumatology, Kindai University Nara Hospital</institution>, <addr-line>Nara</addr-line>, <country>Japan</country></aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Randy Q. Cron, University of Alabama at Birmingham, United States</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Scott W Canna, Children&#x2019;s Hospital of Philadelphia, United States; Masaki Shimizu, Tokyo Medical and Dental University, Japan; Grant Schulert, Cincinnati Children&#x2019;s Hospital Medical Center, United States</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Yuji Nozaki, <email xlink:href="mailto:yuji0516@med.kindai.ac.jp">yuji0516@med.kindai.ac.jp</email></p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Autoimmune and Autoinflammatory Disorders, a section of the journal Frontiers in Immunology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>08</day>
<month>10</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>12</volume>
<elocation-id>750114</elocation-id>
<history>
<date date-type="received">
<day>30</day>
<month>07</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>24</day>
<month>09</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2021 Shiga, Nozaki, Tomita, Kishimoto, Hirooka, Kinoshita, Funauchi and Matsumura</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Shiga, Nozaki, Tomita, Kishimoto, Hirooka, Kinoshita, Funauchi and Matsumura</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>
<title>Background</title>
<p>Interleukin (IL)-18 is markedly elevated in systemic inflammatory diseases that cause the &#x2018;cytokine storm&#x2019; such as adult-onset Still&#x2019;s disease (AOSD) and hemophagocytic lymphohistiocytosis (HLH). The differences in IL-18 between AOSD and HLH, especially in adults, is uncertain. Macrophage activation syndrome (MAS), a form of secondary HLH, is often difficult to differentiate cases of AOSD that include MAS from other secondary HLH. In this case-control study, we investigated whether serum IL-18 levels could be a useful biomarker for the differential diagnosis of AOSD with or without MAS (AOSD group) and other secondary HLH in adults (adult HLH group).</p>
</sec>
<sec>
<title>Patients and Methods</title>
<p>We enrolled 46 patients diagnosed with AOSD including 9 patients with MAS and 31 patients in the adult HLH group, which excluded AOSD-associated MAS. The clinical features and laboratory data were compared between the AOSD and adult HLH groups. In addition, we subdivided the AOSD group (with or without MAS) and the adult HLH group (whether lymphoma-associated or not) and compared the four groups. A logistic regression analysis was used to identify factors with high efficacy in differentiating the two groups, followed by a receiver operating characteristic (ROC) curve analysis to evaluate the differential diagnostic ability of IL-18. We analyzed the correlation between IL-18 and various laboratory parameters in the AOSD group.</p>
</sec>
<sec>
<title>Results</title>
<p>Serum IL-18 levels of patients in the AOSD groups were significantly higher than those of the adult HLH groups, and were closely correlated with ferritin, soluble interleukin-2 receptor (sIL-2R), and other laboratory data. Univariate and multivariate logistic regression analyses revealed that IL-18, sIL-2R, and &#x2018;arthralgia or arthritis&#x2019; are independent factors useful in the differential diagnosis of AOSD from adult HLH. In the differential diagnosis of both groups, the area under the curve obtained from the ROC curve of IL-18 with a cutoff value of 18,550 pg/mL was 0.91 (95% confidence interval 0.83&#x2013;1.00; sensitivity 90.3%, specificity 93.5%), and the differential diagnosis ability of IL-18 was superior to that of other laboratory data.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>IL-18 could be a useful biomarker for the differential diagnosis of AOSD and adult HLH.</p>
</sec>
</abstract>
<kwd-group>
<kwd>interleukin-18</kwd>
<kwd>adult-onset Still&#x2019;s disease</kwd>
<kwd>hemophagocytic lymphohistiocytosis</kwd>
<kwd>macrophage activation syndrome</kwd>
<kwd>diagnostic biomarker</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="51"/>
<page-count count="11"/>
<word-count count="6348"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Adult-onset Still&#x2019;s disease (AOSD) is a rare, polygenic, systemic autoinflammatory disease characterized by recurrent fever, skin rash (typically salmon-pink in color), arthralgia or arthritis, sore throat, leukocytosis with neutrophilia, lymphadenopathy, splenomegaly, and liver dysfunction (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). The etiology of AOSD is unknown, but the following are recognized as central to the pathogenesis of AOSD: an abnormal activation of innate immune cells (e.g., neutrophils, monocytes, and macrophages) and the overproduction of cytokines such as interleukin (IL)-1&#x3b2;, IL-6, tumor necrosis factor-alpha (TNF-&#x3b1;), and IL-18 (<xref ref-type="bibr" rid="B1">1</xref>&#x2013;<xref ref-type="bibr" rid="B4">4</xref>). The diagnosis of AOSD is based on a combination of clinical and laboratory findings, excluding infections (especially sepsis and viral infections), malignant neoplasms (especially lymphoma), and inflammatory diseases (especially polyarthritis nodosa) (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>). The serum level of ferritin is frequently used as a practical tool for the diagnosis of AOSD, but its diagnostic specificity is low and of limited value in the diagnosis of AOSD (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B7">7</xref>). The diagnosis of AOSD is thus often difficult, and we have sought to identify specific diagnostic markers for AOSD.</p>
<p>Serum levels of various cytokines and chemokines have been reported to be useful in the diagnosis of AOSD (<xref ref-type="bibr" rid="B8">8</xref>), and IL-18 has been found to be markedly elevated in the serum of AOSD patients in several studies (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B9">9</xref>). IL-18 has been reported to be associated with the disease activity of AOSD (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>), and it may be useful as an indicator of therapeutic efficacy (<xref ref-type="bibr" rid="B12">12</xref>). The question of whether IL-18 could be a target for the treatment of AOSD is being investigated (<xref ref-type="bibr" rid="B13">13</xref>). IL-18 may play a particularly important role in the pathophysiology of AOSD, but whether IL-18 may be useful as its diagnostic biomarker remains to be determined.</p>
<p>Hemophagocytic lymphohistiocytosis (HLH) and hemophagocytic syndrome (HPS) are life-threatening inflammatory systemic disorders, and their clinical features (e.g., fever and splenomegaly) and laboratory data (e.g., elevated transaminases and hyperferritinemia) are very similar to those of AOSD (<xref ref-type="bibr" rid="B14">14</xref>). HLH in adults is usually classified as secondary (reactive), which is subdivided into infectious, neoplastic, and autoimmune-related secondary HLH (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>).</p>
<p>Macrophage activation syndrome (MAS), an acquired form of HLH that occurs in autoimmune diseases, is a common and serious complication of AOSD, and it is especially difficult to distinguish AOSD-related MAS from HLH or MAS with other underlying diseases (<xref ref-type="bibr" rid="B16">16</xref>). It was recently revealed that serum IL-18 levels are increased in primary (genetic) and secondary HLH, especially in pediatric patients, and several reports have compared the serum IL-18 levels between pediatric HLH cases and patients with systemic juvenile idiopathic arthritis (sJIA), a homolog of AOSD in children (<xref ref-type="bibr" rid="B17">17</xref>). There have been few similar comparative studies between AOSD and adult HLH. We thus conducted the present study to investigate whether serum IL-18 levels could be a useful biomarker for the differential diagnosis of AOSD with or without MAS and other forms of secondary HLH in adults.</p>
</sec>
<sec id="s2">
<title>Methods</title>
<sec id="s2_1">
<title>Patients: the AOSD and Adult HLH Groups</title>
<p>This was an observational case-control study, and all medical records were analyzed retrospectively. All patients in this study between January 2012 and December 2020 were diagnosed by several specialists in Rheumatology and Hematology. We analyzed the cases that could be enrolled in our study from the names of diseases listed in the medical records. We defined the AOSD group as AOSD patients with or without MAS. In this study, MAS was defined as HLH related to AOSD. We defined the adult HLH group as patients with all secondary HLH except MAS (associated with AOSD), and the HLH patients related to other rheumatic diseases was assigned to the adult HLH group. All patients in the two groups developed the disease in adulthood, &gt;20 years old. The 46 patients with AOSD group and the 31 patients with adult HLH diagnosed at the Kindai University School of Medicine in Osaka were enrolled in the study. The AOSD patients met the Yamaguchi criteria after the exclusion of infections, tumors, and other autoimmune diseases (<xref ref-type="bibr" rid="B5">5</xref>). In this study, it was essential to prove hemophagocytosis in bone marrow for the diagnosis of HLH and MAS. In addition, the diagnosis was based on meeting 5 or more of 7 the HLH-2004 non-molecular/non-genetic criteria (including hemophagocytosis in bone tissue and excluding low or absent natural killer&#x3000;[NK]- cell activity) (<xref ref-type="bibr" rid="B18">18</xref>). HLH is usually classified according to the etiology (<xref ref-type="bibr" rid="B14">14</xref>), but in the present study we divided the HLH cases into lymphoma-associated hemophagocytic syndrome (LAHS) and non-LAHS. The background of non-LAHS included autoimmune diseases in six patients (systemic lupus erythematosus [SLE]: n=5, dermatomyositis: n=1), infectious diseases in three patients (sepsis: n=2, multiple muscle abscesses: n=1), and others in five patients (breast cancer with systemic metastasis: n=1, after hematopoietic stem cell transplantation: n=1, unknown: n=3). Clinically active patients with AOSD and adult HLH patients were included in this study. The disease activity of the AOSD patients without MAS was assessed with a modified Pouchot score, and we defined the cases with scores higher than four as having clinically active disease (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B20">20</xref>). We also considered all of the AOSD with MAS and adult HLH patients enrolled in this study as clinically active.</p>
</sec>
<sec id="s2_2">
<title>Blood Samples</title>
<p>In cases of suspected AOSD and cases of febrile illnesses that were difficult to distinguish from AOSD, we have measured serum IL-18 and IL-6 levels after obtaining patient&#x2019;s consent to measure for diagnostic purposes since January 2012. In the present study, blood samples were collected from all patients at their diagnosis of AOSD or adult HLH with or without therapeutic interventions involving steroids, and the serum IL-18 and IL-6 levels were measured together with other routine blood tests as summarized in <xref ref-type="table" rid="T1"><bold>Table 1</bold></xref>.</p>
<table-wrap id="T1" position="float">
<label>Table 1</label>
<caption>
<p>The demographic, clinical and laboratory characteristics of the AOSD and adult HLH group.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left">Characteristics</th>
<th valign="top" rowspan="2" align="center">AOSD (N = 46)</th>
<th valign="top" rowspan="2" align="center">Adult HLH (N = 31)</th>
<th valign="top" rowspan="2" align="center">p-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Sex: female, n (%)</td>
<td valign="top" align="center">36 (78.3)</td>
<td valign="top" align="center">13 (41.9)</td>
<td valign="top" align="center">0.0017</td>
</tr>
<tr>
<td valign="top" align="left">Age, years [IQR]</td>
<td valign="top" align="center">58.5 [40&#x2013;70]</td>
<td valign="top" align="center">67.0 [49&#x2013;75]</td>
<td valign="top" align="center">0.053</td>
</tr>
<tr>
<td valign="top" colspan="4" align="left">Clinical features:</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Fever &gt;39&#xb0;C, n (%)</td>
<td valign="top" align="center">45 (97.8)</td>
<td valign="top" align="center">29 (94.4)</td>
<td valign="top" align="center">0.58</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Skin rash, n (%)</td>
<td valign="top" align="center">42 (91.3)</td>
<td valign="top" align="center">17 (45.2)</td>
<td valign="top" align="center">&lt;0.0001</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Arthralgia/arthritis, n (%)</td>
<td valign="top" align="center">35 (76.1)</td>
<td valign="top" align="center">9 (29.0)</td>
<td valign="top" align="center">&lt;0.0001</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Myalgia</td>
<td valign="top" align="center">11 (23.9)</td>
<td valign="top" align="center">4 (12.9)</td>
<td valign="top" align="center">0.26</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Sore throat, n (%)</td>
<td valign="top" align="center">31 (67.4)</td>
<td valign="top" align="center">6 (19.4)</td>
<td valign="top" align="center">&lt;0.0001</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Lymphadenopathy, n (%)</td>
<td valign="top" align="center">31 (67.4)</td>
<td valign="top" align="center">19 (61.3)</td>
<td valign="top" align="center">0.63</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Splenomegaly, n (%)</td>
<td valign="top" align="center">25 (54.4)</td>
<td valign="top" align="center">17 (54.8)</td>
<td valign="top" align="center">&gt;0.99</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Liver dysfunction, n (%)</td>
<td valign="top" align="center">36 (78.3)</td>
<td valign="top" align="center">28 (90.3)</td>
<td valign="top" align="center">0.22</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Serositis, n (%)</td>
<td valign="top" align="center">12 (26.1)</td>
<td valign="top" align="center">10 (32.3)</td>
<td valign="top" align="center">0.61</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;DIC, n (%)</td>
<td valign="top" align="center">9 (19.6)</td>
<td valign="top" align="center">12 (38.7)</td>
<td valign="top" align="center">0.074</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;MAS, n (%)</td>
<td valign="top" align="center">9 (19.6)</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" colspan="4" align="left">Laboratory data:</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;IL-18, pg/mL [IQR]</td>
<td valign="top" align="center">91,900 [47,250&#x2013;15,2750]</td>
<td valign="top" align="center">2,070 [1,380&#x2013;7,400]</td>
<td valign="top" align="center">&lt;0.0001</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;IL-6, pg/mL [IQR]</td>
<td valign="top" align="center">46.7 [30.2&#x2013;89.3]</td>
<td valign="top" align="center">71.9 [29.8&#x2013;123.0]</td>
<td valign="top" align="center">0.41</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Ferritin, ng/mL [IQR]</td>
<td valign="top" align="center">5,651 [2,294&#x2013;22,879]</td>
<td valign="top" align="center">2,666 [1,124&#x2013;7,365]</td>
<td valign="top" align="center">0.062</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;sIL-2R, U/mL [IQR]</td>
<td valign="top" align="center">1,517 [945&#x2013;2,148]</td>
<td valign="top" align="center">4,860 [2,033&#x2013;12,813]</td>
<td valign="top" align="center">&lt;0.0001</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;CRP, mg/mL [IQR]</td>
<td valign="top" align="center">8.4 [4.2&#x2013;15.6]</td>
<td valign="top" align="center">7.7 [1.3&#x2013;11.7]</td>
<td valign="top" align="center">0.19</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;LDH, IU/L [IQR]</td>
<td valign="top" align="center">494 [404&#x2013;895]</td>
<td valign="top" align="center">704 [421&#x2013;1,167]</td>
<td valign="top" align="center">0.13</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;AST, IU/L [IQR]</td>
<td valign="top" align="center">61 [28&#x2013;112]</td>
<td valign="top" align="center">97 [49&#x2013;201]</td>
<td valign="top" align="center">0.061</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;ALT, IU/L [IQR]</td>
<td valign="top" align="center">39 [15&#x2013;77]</td>
<td valign="top" align="center">61 [31&#x2013;125]</td>
<td valign="top" align="center">0.059</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Trig, mg/dL [IQR]</td>
<td valign="top" align="center">150 [103-181], N&#x2019;=41</td>
<td valign="top" align="center">171 [137-242], N&#x2019;=27</td>
<td valign="top" align="center">0.031</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Fib, mg/dL [IQR]</td>
<td valign="top" align="center">430 [308-563], N&#x2019;=43</td>
<td valign="top" align="center">308 [223-424], N&#x2019;=30</td>
<td valign="top" align="center">0.0023</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;HScore [IQR]</td>
<td valign="top" align="center">146 [119-170], N&#x2019;=40</td>
<td valign="top" align="center">189 [160-231], N&#x2019;=27</td>
<td valign="top" align="center">&lt;0.0001</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;ANC,/&#x3bc;L [IQR]</td>
<td valign="top" align="center">8417 [5469-11877]</td>
<td valign="top" align="center">3080 [1331-6504]</td>
<td valign="top" align="center">&lt;0.0001</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;ALC,/&#x3bc;L [IQR]</td>
<td valign="top" align="center">910 [668-1281]</td>
<td valign="top" align="center">570 [288-1357]</td>
<td valign="top" align="center">0.071</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;RF-positive, n (%)</td>
<td valign="top" align="center">4 (9.1), N&#x2019;=44</td>
<td valign="top" align="center">7 (26.9), N=26&#x2019;</td>
<td valign="top" align="center">0.086</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;ANA-positive, n (%)</td>
<td valign="top" align="center">7 (15.6), N&#x2019;=45</td>
<td valign="top" align="center">8 (28.6), N=28&#x2019;</td>
<td valign="top" align="center">0.24</td>
</tr>
<tr>
<td valign="top" align="left">Treatment before diagnosis, n (%)</td>
<td valign="top" align="center">8 (17.4)</td>
<td valign="top" align="center">8 (25.8)</td>
<td valign="top" align="center">0.4</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Steroid (prednisolone), n (%)</td>
<td valign="top" align="center">8 (17.4)</td>
<td valign="top" align="center">7 (22.6)</td>
<td valign="top" align="center">0.57</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Prednisolone dose, mg/day [IQR]</td>
<td valign="top" align="center">25.0 [11.9&#x2013; 40.0]</td>
<td valign="top" align="center">15.0 [10&#x2013;30]</td>
<td valign="top" align="center">0.55</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Immunosuppressant, n (%)</td>
<td valign="top" align="center">4 (8.7)</td>
<td valign="top" align="center">1 (3.2)</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Biologic DMARD, n (%)</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">1 (3.2)</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Data are numbers (with percentage) or median [interquartile range]. N, total number of patients in each group; N&#x2019;, number of patients with missing the data; n, number of patients who met each endpoint. ALC, absolute lymphocyte count; ALT, alanine transaminase; ANA, anti-nuclear antibody; ANC, absolute neutrophil count; AST, aspartrate transaminase; CRP, C-reactive protein; DIC, disseminated intravascular coagulation; DMARD, disease-modifying antirheumatic drug; Fib; fibrinogen; IL, interleukin; LDH, L-lactate dehydrogenase; MAS, macrophage activation syndrome; RF, rheumatoid factor; sIL-2R, soluble interleukin 2 receptor; Trig, triglyceride.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>This study complied with the standards of the Declaration of Helsinki and the Ethical Guidelines for Medical and Health Research Involving Human Subjects (Ministry of Education, Culture, Sports, Science and Technology, and Ministry of Health, Labor and Welfare of Japan), and was approved by the Research Ethics Committee of the Faculty of Medicine of Kindai University (approval no. R02-218). Witten informed consent from each patient for participation in the study is not necessarily required, because this study used blood test results collected for the purpose of diagnosis in daily practice, and the data were retrospective and non-invasive in nature and analyzed anonymously, as stipulated in the above ethical guideline in Japan. However, we describe the details of this study on our website (<uri xlink:href="https://www.med.kindai.ac.jp/naika3/index.html">https://www.med.kindai.ac.jp/naika3/index.html</uri>), which is accessible to all patients, and give them the right to refuse to participate in clinical research. Furthermore, we have obtained written informed consent as much as possible to enroll in this study for cases who are continuing to visit our hospital.</p>
</sec>
<sec id="s2_3">
<title>Measurement of Serum IL-18, IL-6 and sIL-2R Levels</title>
<p>The serum concentrations of IL-18 were assessed using a sandwich enzyme-linked immunosorbent assay (ELISA) according to the manufacturer&#x2019;s instructions (Medical &amp; Biological Laboratories [MBL], Nagoya, Japan; reference range, unknown). There has been no study that clearly states the reference value in the report on AOSD using MBL&#x2019;s kit to measure serum IL-18. However, according to the attached material of the Human IL-18 ELISA kit of MBL, serum samples for 46 healthy blood donors were assayed by the measurement kit, and the concentrations of human IL-18 in normal sera were mean &#xb1; SD; 126.0 &#xb1; 44.5 pg/mL, maximum; 257.8 pg/mL, and minimum; 36.1 pg/mL. All serum IL-18 samples were measured up to 5000 pg/mL with a 5-fold dilution at the initial dilution. For samples of 5000 pg/mL or more, the data was measured by further diluting 50 times, and finally, it was confirmed that the data was within the measurement range by diluting 250 times. The serum concentrations of IL-6 were measured using a chemiluminescent enzyme immunoassay (CLEIA) according to the manufacturer&#x2019;s instructions (Fujirebio, Tokyo, Japan; reference range, &lt;4.0pg/mL). Serum IL-6 was first measured in undiluted solution, and if the value exceeds 1000 pg/mL, the test was repeated after dilution 100 times. Serum sIL-2R levels were measured by a CLEIA according to the manufacturer&#x2019;s instructions (LSI Medience, Tokyo, Japan; reference range, 121- 613 U/mL). In the case of serum sIL-2R, it was also measured in undiluted solution, and if the value exceeds 100,000 U/mL, it was diluted 10 times and retested.</p>
</sec>
<sec id="s2_4">
<title>Statistical Analyses</title>
<p>Continuous variables are expressed as the median (interquartile range [IQR]), and categorical variables are expressed as the number (n) and percentage (%). The Mann-Whitney U-test or Fisher&#x2019;s exact test were used to compared demographic characteristics, clinical features and laboratory findings between the AOSD and adult HLH groups. Data among four groups were analyzed using the Kruskal-Wallis test followed by <italic>post hoc</italic> Dunn&#x2019;s test with Bonferroni correction. A logistic regression analysis was performed to identify the variables that could be used to differentiate AOSD from adult HLH. The odds ratios (ORs) were calculated by adjusting 10,000 pg/mL to 1 unit for IL-18 and by adjusting 1.000 U/mL to 1 unit for sIL-2R and ferritin. We subsequently performed a receiver operating characteristic (ROC) curve analysis for IL-18 distinguishing the AOSD group from the adult HLH group, and we calculated the area under the curve (AUC), cutoff value, sensitivity, and specificity. Spearman&#x2019;s rank correlation test was used to test the association between serum IL-18 and other laboratory data in the AOSD group. P-values&lt;0.05 were considered significant. The statistical analyses were performed using SPSS for windows ver. 22.0 (IBM Japan, Tokyo, Japan) and GraphPad Prism 9 software (GraphPad Software, San Diego, CA).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Clinical and Laboratory Characteristics of the AOSD and Adult HLH Groups</title>
<p><xref ref-type="table" rid="T1"><bold>Table 1</bold></xref> summarizes the demographic characteristics, clinical features, and laboratory data of the 46 patients in the AOSD group and the 31 patients in the adult HLH group at the time of blood sampling. For triglyceride (Trig), fibrinogen (Fib), HScore, rheumatoid factor and ant-nuclear antibody, there were several missing data in each group, as shown in <xref ref-type="table" rid="T1"><bold>Tables 1</bold></xref>, <xref ref-type="table" rid="T2"><bold>2</bold></xref>. The AOSD group had a significantly higher number and proportion of females (p=0.0017) and tended to be younger (p=0.053). The frequencies of skin rash, arthralgia or arthritis, and sore throat were each significantly higher in the AOSD group (p&lt;0.0001). The AOSD group had significantly higher serum IL-18 levels (p&lt;0.0001), absolute neutrophil count (ANC) (p&lt;0.0001) and Fib (p=0.0023), and lower sIL-2R levels (p&lt;0.0001), HScore (p&lt; 0.0001) and Trig (p=0.031) compared to the adult HLH group. Ferritin tended to be higher in the AOSD group but was not significantly different between the two groups (p=0.062). IL-6 was not significantly different between the two groups.</p>
<table-wrap id="T2" position="float">
<label>Table 2</label>
<caption>
<p>The laboratory characteristics of the AOSD MAS-, AOSD MAS+, LAHS, and non-LAHS group.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" rowspan="2" align="center">&#x2460; AOSD MAS - (N=37)</th>
<th valign="top" rowspan="2" align="center">&#x2461; AOSD MAS + (N=9)</th>
<th valign="top" rowspan="2" align="center">&#x2462; LAHS (N=17)</th>
<th valign="top" rowspan="2" align="center">&#x2463; non-LAHS (N=14)</th>
<th valign="top" align="center">p-value</th>
<th valign="top" colspan="6" align="center">p-value (Bonferroni correction)</th>
</tr>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">for all</th>
<th valign="top" align="center">&#x2460; vs. &#x2461;</th>
<th valign="top" align="center">&#x2460; vs. &#x2462;</th>
<th valign="top" align="center">&#x2460; vs. &#x2463;</th>
<th valign="top" align="center">&#x2461; vs. &#x2462;</th>
<th valign="top" align="center">&#x2461; vs. &#x2463;</th>
<th valign="top" align="center">&#x2462; vs. &#x2463;</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">IL-18</td>
<td valign="top" align="center">79,500 [46,150-135,500]</td>
<td valign="top" align="center">152,000 [81,200-206,500]</td>
<td valign="top" align="center">6,450 [1,890-7,675]</td>
<td valign="top" align="center">1,740 [866-18,442]</td>
<td valign="top" align="center">&lt;0.0001</td>
<td valign="top" align="center">&gt;0.99</td>
<td valign="top" align="center">&lt;0.0001</td>
<td valign="top" align="center">0.00013</td>
<td valign="top" align="center">0.00010</td>
<td valign="top" align="center">0.00023</td>
<td valign="top" align="center">&gt;0.99</td>
</tr>
<tr>
<td valign="top" align="left">IL-6</td>
<td valign="top" align="center">41.8 [30.5-70.5]</td>
<td valign="top" align="center">89.2 [32.5-214.0]</td>
<td valign="top" align="center">73.9 [32.7-142.5]</td>
<td valign="top" align="center">68.4 [22.8-114.3]</td>
<td valign="top" align="center">0.33</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">Ferritin</td>
<td valign="top" align="center">4,912 [1,729-17,138]</td>
<td valign="top" align="center">35,328 [6,527-64,774]</td>
<td valign="top" align="center">2,498 [645-6,002]</td>
<td valign="top" align="center">3,706 [1,741-8,386]</td>
<td valign="top" align="center">0.0050</td>
<td valign="top" align="center">0.020</td>
<td valign="top" align="center">&gt;0.99</td>
<td valign="top" align="center">&gt;0.99</td>
<td valign="top" align="center">0.0026</td>
<td valign="top" align="center">0.045</td>
<td valign="top" align="center">&gt;0.99</td>
</tr>
<tr>
<td valign="top" align="left">sIL2R</td>
<td valign="top" align="center">1,473 [942-2,033]</td>
<td valign="top" align="center">2,084 [1,430-5,934]</td>
<td valign="top" align="center">9,468 [4,200-16,112]</td>
<td valign="top" align="center">2,395 [1,610-5,767]</td>
<td valign="top" align="center">&lt;0.0001</td>
<td valign="top" align="center">0.34</td>
<td valign="top" align="center">&lt;0.0001</td>
<td valign="top" align="center">0.068</td>
<td valign="top" align="center">0.28</td>
<td valign="top" align="center">&gt;0.99</td>
<td valign="top" align="center">0.25</td>
</tr>
<tr>
<td valign="top" align="left">CRP</td>
<td valign="top" align="center">7.8 [4.6-14.2]</td>
<td valign="top" align="center">12.2 [2.1-20.4]</td>
<td valign="top" align="center">9.0 [4.1-12.4]</td>
<td valign="top" align="center">4.5 [0.4-10.9]</td>
<td valign="top" align="center">0.14</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">LDH</td>
<td valign="top" align="center">464 [360-627]</td>
<td valign="top" align="center">834 [397-1,084]</td>
<td valign="top" align="center">481 [367-1,180]</td>
<td valign="top" align="center">711 [563-1,080]</td>
<td valign="top" align="center">0.18</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">AST</td>
<td valign="top" align="center">54 [28-85]</td>
<td valign="top" align="center">93 [45-205]</td>
<td valign="top" align="center">60 [46-136]</td>
<td valign="top" align="center">154 [52-475]</td>
<td valign="top" align="center">0.049</td>
<td valign="top" align="center">0.85</td>
<td valign="top" align="center">&gt;0.99</td>
<td valign="top" align="center">0.047</td>
<td valign="top" align="center">&gt;0.99</td>
<td valign="top" align="center">&gt;0.99</td>
<td valign="top" align="center">0.84</td>
</tr>
<tr>
<td valign="top" align="left">ALT</td>
<td valign="top" align="center">34 [13-68]</td>
<td valign="top" align="center">61 [27-246]</td>
<td valign="top" align="center">45 [31-117]</td>
<td valign="top" align="center">68 [32-213]</td>
<td valign="top" align="center">0.12</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">ANC</td>
<td valign="top" align="center">8,379 [5,776-10,962]</td>
<td valign="top" align="center">10,193 [3,823-18,012]</td>
<td valign="top" align="center">3,192 [1,286-6,426]</td>
<td valign="top" align="center">2,696 [1,576-6,507]</td>
<td valign="top" align="center">&lt;0.0001</td>
<td valign="top" align="center">&gt;0.99</td>
<td valign="top" align="center">0.0022</td>
<td valign="top" align="center">0.0026</td>
<td valign="top" align="center">0.035</td>
<td valign="top" align="center">0.031</td>
<td valign="top" align="center">&gt;0.99</td>
</tr>
<tr>
<td valign="top" align="left">ALC</td>
<td valign="top" align="center">964 [715-1,288]</td>
<td valign="top" align="center">623 [381-945]</td>
<td valign="top" align="center">932 [310-1,797]</td>
<td valign="top" align="center">476 [277-955]</td>
<td valign="top" align="center">0.017</td>
<td valign="top" align="center">0.36</td>
<td valign="top" align="center">&gt;0.99</td>
<td valign="top" align="center">0.020</td>
<td valign="top" align="center">&gt;0.99</td>
<td valign="top" align="center">&gt;0.99</td>
<td valign="top" align="center">0.39</td>
</tr>
<tr>
<td valign="top" align="left">Trig</td>
<td valign="top" align="center">150 [97-175], N&#x2019;=33</td>
<td valign="top" align="center">158 [115-209], N&#x2019;=8</td>
<td valign="top" align="center">207 [132-246], N&#x2019;=15</td>
<td valign="top" align="center">170 [140-185], N&#x2019;=12</td>
<td valign="top" align="center">0.13</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">Fib</td>
<td valign="top" align="center">497 [359-587], N&#x2019;=34</td>
<td valign="top" align="center">274 [251-433], N&#x2019;=9</td>
<td valign="top" align="center">391 [195-453], N&#x2019;=17</td>
<td valign="top" align="center">275 [230-381], N&#x2019;=13</td>
<td valign="top" align="center">0.00065</td>
<td valign="top" align="center">0.057</td>
<td valign="top" align="center">0.063</td>
<td valign="top" align="center">0.0025</td>
<td valign="top" align="center">&gt;0.99</td>
<td valign="top" align="center">&gt;0.99</td>
<td valign="top" align="center">&gt;0.99</td>
</tr>
<tr>
<td valign="top" align="left">HScore</td>
<td valign="top" align="center">131 [110-162], N&#x2019;=32</td>
<td valign="top" align="center">195 [145-240], N&#x2019;=8</td>
<td valign="top" align="center">185 [160-235], N&#x2019;=15</td>
<td valign="top" align="center">206 [161-223], N&#x2019;=12</td>
<td valign="top" align="center">&lt;0.0001</td>
<td valign="top" align="center">0.012</td>
<td valign="top" align="center">0.00059</td>
<td valign="top" align="center">0.0014</td>
<td valign="top" align="center">&gt;0.99</td>
<td valign="top" align="center">&gt;0.99</td>
<td valign="top" align="center">&gt;0.99</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>The units for each of data are the same as for <xref ref-type="table" rid="T1"><bold>Table 1</bold></xref>. Data are median [interquartile range]. N, total number of patients in each group; N&#x2019;, number of patients with missing the data; ANC, absolute neutrophil count; ALC, absolute lymphocyte count; ALT, alanine transaminase; AST, aspartrate transaminase; CRP, C-reactive protein; IL, interleukin; LDH, L-lactate dehydrogenase; MAS, macrophage activation syndrome; sIL-2R, soluble interleukin 2 receptor; Trig, triglyceride; Fib, fibrinogen.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Nine of the 46 (19.6%) patients with AOSD presented with MAS. Eight (17.4%) of the AOSD patients and eight (25.8%) of the adult HLH patients had been treated with a steroid (prednisolone) and/or an immunosuppressive agent (methotrexate: n=2, cyclosporin: n=2, cyclophosphamide: n=1) and/or a biologic disease-modifying antirheumatic drug (abatacept: n=1) by the time of diagnosis. However, there was no significant between-group difference regarding the numbers or proportions of patients who received treatment before their diagnosis or in the prednisolone dose.</p>
<p>The details of the 9 patients in the AOSD MAS+ group who met 5 or more of 7 the HLH 2004 criteria are given in <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table S1</bold></xref>. The underlying diseases and serum IL-18, sIL-2R and ferritin levels of individual patients in the non-LAHS group are shown in <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table S2</bold></xref>.</p>
</sec>
<sec id="s3_2">
<title>Comparisons of Laboratory Characteristics Between the Patients With AOSD Without or With MAS, LAHS, and Non-LAHS Groups</title>
<p>We divided the AOSD group into the AOSD patients without MAS (the AOSD MAS&#x2212; group) and those with MAS (the AOSD MAS+ group), and we divided the adult HLH group into the LAHS and non-LAHS subgroups. We then compared only laboratory data among the four groups (<xref ref-type="table" rid="T2"><bold>Table 2</bold></xref> and <xref ref-type="fig" rid="f1"><bold>Figure 1</bold></xref>).</p>
<fig id="f1" position="float">
<label>Figure 1</label>
<caption>
<p>Comparisons of serum levels of IL-18, sIL-2R, and ferritin between the AOSD and adult HLH groups with different subtypes. Serum levels of IL-18 <bold>(A)</bold>, sIL-2R <bold>(B)</bold>, and ferritin <bold>(C)</bold> were compared among patients with AOSD without MAS (AOSD MAS&#x2212;), those with AOSD with MAS (AOSD MAS+), patients with LAHS, and a non-LAHS group. N corresponds to the number of samples assayed in each group. The Kruskal-Wallis test followed by <italic>post hoc</italic> Dunn&#x2019;s test with Bonferroni correction was used to compare the four groups; *p&lt;0.05, **p &lt; 0.01, ***p &lt; 0.001, ****p &lt; 0.0001. MAS, macrophage activation syndrome; LAHS, lymphomas-related hemophagocytic syndrome. In panel <bold>(A)</bold>, very high serum IL-18 levels in three patients of the non-LAHS group are indicated by a real number beside the dot (unknown; 294,000 pg/mL, breast cancer with systemic metastasis; 206,000 pg/mL, multiple muscle abscesses; 648,56 pg/mL). In panel <bold>(B)</bold>, a remarkably elevated serum sIL-2R level (235,320 U/mL) in one patient of the LAHS group is indicated by a real number beside the dot.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-12-750114-g001.tif"/>
</fig>
<p>The serum IL-18 levels in the AOSD MAS&#x2212; group were significantly higher than those in the LAHS group (p&lt;0.0001) and the non-LAHS group (p=0.00013), and similarly, the serum IL-18 levels in the AOSD MAS+ group were significantly higher than those in each subgroup of the adult HLH group (<italic>vs.</italic> LAHS, p=0.00010; <italic>vs.</italic> non-LAHS, p=0.00023). There was no significant difference between the AOSD- and AOSD+ groups regarding IL-18 (<xref ref-type="fig" rid="f1"><bold>Figure 1A</bold></xref>). The serum levels of sIL-2R in the AOSD MAS&#x2212; group were significantly lower than those of the LAHS (p&lt;0.0001) (<xref ref-type="fig" rid="f1"><bold>Figure 1B</bold></xref>). The serum ferritin levels of the AOSD MAS+ group were significantly higher than those in the AOSD MAS&#x2212; group (p=0.020), LAHS subgroup (p=0.0026), and non-LAHS subgroup (p=0.045) (<xref ref-type="fig" rid="f1"><bold>Figure 1C</bold></xref>).</p>
<p>ANC was significantly higher in the AOSD MAS+ group compared with the two HLH group. AST, Fib and absolute lymphocyte count (ALC) were significantly different between the AOSD MAS- and non-LAHS groups. HScore in the AOSD MAS- group was significantly lower than in the other three groups.</p>
</sec>
<sec id="s3_3">
<title>Identification of Independent Predictors That Can Be Used for Differentiating the AOSD and adult HLH Groups</title>
<p>We performed a logistics regression analysis to evaluate potential variables that could be used for the differential diagnosis of the AOSD from adult HLH groups (<xref ref-type="table" rid="T3"><bold>Table 3</bold></xref>). In the multivariate analysis, arthralgia or arthritis, IL-18, and sIL-2R were extracted as independent predictive indicators. In particular, IL-18 and sIL-2R were more useful biomarkers to differentiate AOSD and adult HLH compared to ferritin (IL-18: OR 1.23, 95%CI 1.09&#x2013;1.39, p=0.0010; sIL-2R: OR 0.80, 95%CI 0.70&#x2013;0.92, p=0.0020).</p>
<table-wrap id="T3" position="float">
<label>Table 3</label>
<caption>
<p>Univariate and multivariate analyses to differentiate the AOSD and adult HLH groups.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left">Variable</th>
<th valign="top" colspan="2" align="center">Univariate analysis</th>
<th valign="top" colspan="2" align="center">Multivariate analysis</th>
</tr>
<tr>
<th valign="top" align="left">OR (95%CI)</th>
<th valign="top" align="center">p-value</th>
<th valign="top" align="center">OR (95%CI)</th>
<th valign="top" align="center">p-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Sex (female)</td>
<td valign="top" align="center">4.98 (1.83&#x2013;13.55)</td>
<td valign="top" align="center">0.0020</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Age, yrs</td>
<td valign="top" align="center">0.97 (0.95&#x2013;1.00)</td>
<td valign="top" align="center">0.065</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Treatment before diagnosis</td>
<td valign="top" align="center">1.65 (0.55&#x2013;5.01)</td>
<td valign="top" align="center">0.38</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Skin rash</td>
<td valign="top" align="center">12.45 (3.58&#x2013;43.30)</td>
<td valign="top" align="center">&lt;0.0001</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Arthralgia or arthritis</td>
<td valign="top" align="center">7.78 (2.78&#x2013;21.78)</td>
<td valign="top" align="center">&lt;0.0001</td>
<td valign="top" align="center">5.32 (1.35&#x2013;20.99)</td>
<td valign="top" align="center">0.017</td>
</tr>
<tr>
<td valign="top" align="left">Sore throat</td>
<td valign="top" align="center">8.61 (2.91&#x2013;25.45)</td>
<td valign="top" align="center">&lt;0.0001</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">IL-18&#xd7;10<sup>&#x2212;4</sup>, pg/mL</td>
<td valign="top" align="center">1.27 (1.12&#x2013;1.45)</td>
<td valign="top" align="center">&lt;0.0001</td>
<td valign="top" align="center">1.23 (1.09&#x2013;1.39)</td>
<td valign="top" align="center">0.0010</td>
</tr>
<tr>
<td valign="top" align="left">sIL-2R&#xd7;10<sup>&#x2212;3</sup>, U/mL</td>
<td valign="top" align="center">0.85 (0.75&#x2013;0.96)</td>
<td valign="top" align="center">0.0007</td>
<td valign="top" align="center">0.80 (0.70&#x2013;0.92)</td>
<td valign="top" align="center">0.0020</td>
</tr>
<tr>
<td valign="top" align="left">Ferritin&#xd7;10<sup>&#x2212;3</sup>, ng/mL</td>
<td valign="top" align="center">1.04 (1.00&#x2013;1.07)</td>
<td valign="top" align="center">0.073</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Age, sex, and treatment before diagnosis were adjusted in the multivariate analysis. The adjusted odds ratio (OR) was calculated by multiplying the estimated regression coefficient by 10,000 for IL-18 and 1,000 for sIL-2R and ferritin. OR, odds ratio; 95%CI, 95%confidence interval; IL, interleukin; sIL-2R, soluble interleukin 2 receptor.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>An ROC curve analysis was then performed to discriminate the AOSD and adult HLH groups with reference to IL-18 and sIL-2R (<xref ref-type="fig" rid="f2"><bold>Figure 2</bold></xref>). The results showed that the ROC-AUC with reference to IL-18 was 0.913 (95%CI: 0.83-1.00, p&lt;0.0001). We observed that a serum IL-18 level &gt;18550 pg/mL distinguished the AOSD group from the adult HLH group with 90.3% sensitivity and 93.5% specificity (<xref ref-type="fig" rid="f2"><bold>Figure 2A</bold></xref>). Using the cutoff value of &lt;2006 U/mL of sIL-2R distinguished the AOSD group from the adult HLH group with 77.4% sensitivity and 69.6% specificity (ROC-AUC 0.81, 95%CI: 0.71&#x2013;0.91, p&lt;0.0001, <xref ref-type="fig" rid="f2"><bold>Figure 2B</bold></xref>), indicating that the differential diagnostic ability of IL-18 was superior to that of sIL-2R. The ROC curve analyses regarding IL-18 and sIL-2R for the differential diagnosis between the AOSD patients (n=38) and adult HLH patients (n=23) who were without therapeutic interventions are shown in <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure S1</bold></xref>. In the untreated cases, the ROC-AUC for IL-18 with a cutoff value of 18,550 pg/mL was 0.89 (95%CI: 0.78&#x2013;0.99; 87.0% sensitivity, 92.1% specificity), and the ROC-AUC of sIL-2R with a cutoff value of 2,122 U/ml was 0.87 (95%CI: 0.77&#x2013;0.96, sensitivity 82.6%, specificity 79.0%).</p>
<fig id="f2" position="float">
<label>Figure 2</label>
<caption>
<p>The ROC curve analysis for the differential diagnosis of AOSD and adult HLH based on the serum levels of IL-18 and sIL-2R. The predictive performance of the serum levels of <bold>(A)</bold> IL-18 and <bold>(B)</bold> sIL-2R was validated by the ROC analysis, and the accuracy of differential diagnosis is indicated by the AUC&#xa0;and 95%CI.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-12-750114-g002.tif"/>
</fig>
</sec>
<sec id="s3_4">
<title>Correlations Between Serum IL-18 Levels and Other Laboratory Data in the AOSD Group</title>
<p>We also analyzed the correlations between IL-18 and other laboratory data in the AOSD patients (<xref ref-type="fig" rid="f3"><bold>Figure 3</bold></xref>). The IL-18 levels in serum were strongly correlated with sIL-2R (r=0.62, p&lt;0.0001, <xref ref-type="fig" rid="f3"><bold>Figure 3A</bold></xref>), ferritin (r=0.79, p&lt;0.0001, <xref ref-type="fig" rid="f3"><bold>Figure 3B</bold></xref>), LDH (r=0.85, p&lt;0.0001, <xref ref-type="fig" rid="f3"><bold>Figure 3C</bold></xref>), AST (r=0.56, p&lt;0.0001, <xref ref-type="fig" rid="f3"><bold>Figure 3D</bold></xref>), Trig (r=0.57, p=0.0005, <xref ref-type="fig" rid="f3"><bold>Figure 3F</bold></xref>) and HScore (r=0.72, p&lt;0.0001, <xref ref-type="fig" rid="f3"><bold>Figure 3H</bold></xref>), and weakly associated with ALT (r=0.37, p=0.012, <xref ref-type="fig" rid="f3"><bold>Figure 3E</bold></xref>). In addition, IL-18 and Fib showed a negative correlation (r=-0.45, p=0.0078, <xref ref-type="fig" rid="f3"><bold>Figure 3G</bold></xref>). In contrast, IL-18 was not correlated with IL-6, C-reactive protein, ANC and ALC (data not shown).</p>
<fig id="f3" position="float">
<label>Figure 3</label>
<caption>
<p>Correlation of serum IL-18 levels and other laboratory data in the AOSD group. Serum IL-18 levels were positively correlated with sIL-2R <bold>(A)</bold>, ferritin <bold>(B)</bold>, LDH <bold>(C)</bold>, AST <bold>(D)</bold>, ALT <bold>(E)</bold>, Trig <bold>(F)</bold> and HScore <bold>(H)</bold>, and were negatively correlated with Fib <bold>(G)</bold>. The correlations were evaluated with Spearman&#x2019;s rank correlation test. Each dot represents an individual patient; white dots indicate AOSD MAS- patients and grey dots indicate AOSD MAS+ patients. ALT, alanine transaminase; AST, aspartrate transaminase; Fib, fibrinogen; LDH, L-lactate dehydrogenase; Trig, triglyceride.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-12-750114-g003.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>The results of our analyses demonstrated that serum IL-18 levels could be used as a biomarker with high accuracy for the differential diagnosis of AOSD and adult HLH. AOSD, HLH, and MAS share some similar aspects of their pathogeneses (e.g., an abnormal activation of macrophages and an excessive production of various cytokines), and it was reported that serum IL-18 levels are markedly elevated in each of these diseases (<xref ref-type="bibr" rid="B1">1</xref>&#x2013;<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B21">21</xref>). However, few studies have compared serum IL-18 levels between AOSD, HLH, and MAS in adults (unlike sJIA, HLH and MAS in pediatric patients), because adult HLH and MAS have a lower incidence compared to those in pediatric patients, and few studies of adult HLH or MAS have been performed (<xref ref-type="bibr" rid="B14">14</xref>). The effectiveness of the use of serum IL-18 levels to distinguish these diseases has thus not been fully validated. To the best of our knowledge, our present investigation is the only case-control study to directly compare serum IL-18 levels between AOSD with or without MAS and other secondary HLH or MAS in adults, unlike the research regarding sJIA and pediatric HLH or MAS.</p>
<p>To assess the diagnostic ability of IL-18 in AOSD, it is necessary to conduct comparative studies with control diseases that have pathologies and clinical findings similar to those of AOSD. Between 2001, when Kawashima et al. were the first to report that serum IL-18 was markedly elevated in patients with AOSD, and the present investigation&#x2019;s writing, several studies have compared serum IL-18 levels in AOSD and other inflammatory diseases in adults (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B22">22</xref>&#x2013;<xref ref-type="bibr" rid="B32">32</xref>). The most common control group in those reports was rheumatic diseases, mainly such as rheumatoid arthritis, SLE, and Sjogren&#x2019;s syndrome. Serum IL-18 levels in AOSD patients were statistically higher than those in any of the rheumatic diseases in those studies. The control disease in the remaining studies was infection, especially sepsis in two studies (<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>), which is categorized as &#x2018;hyperferritinemic syndrome,&#x2019; similar to MAS or Still&#x2019;s disease (<xref ref-type="bibr" rid="B33">33</xref>). These studies also showed that the serum IL-18 levels in patients with sepsis were approximately 100 pg/mL, which is significantly lower than the levels in AOSD patients. Interestingly, Chen et al. recently reported that serum IL-18 levels at the cut-off value 190.5 pg/ml had high discriminative ability for AOSD and coronavirus disease 2019 (COVID-19), with ROC-AUC 0.948, sensitivity 91.3% and specificity 95.8% (<xref ref-type="bibr" rid="B34">34</xref>).</p>
<p>To the best of our knowledge, no comparative study of AOSD, HLH, and MAS has been ever performed in adults, whereas there are numerous studies comparing sJIA, HLH, and MAS in pediatric populations. Krei et al. recently conducted a systematic review of 14 studies regarding the potential role of IL-18 in the diagnosis of HLH or MAS mainly in children (<xref ref-type="bibr" rid="B17">17</xref>). In that review, the serum IL-18 levels of the patients with active sJIA were approx. 10<sup>4</sup>&#x2013;10<sup>5</sup> pg/mL, whereas those of the HLH patients remained in the range of 10<sup>3</sup>&#x2013;10<sup>4</sup> pg/mL. Among the14 studies in the review, Weiss et al. reported that a total IL-18 (i.e., IL-18 bound to IL-18 binding protein [BP]) cut-off value at &gt;11,600 pg/mL distinguished sJIA (or AOSD) or MAS complicating sJIA (or AOSD) from familial or infection-associated HLH, with 88% sensitivity and 93% specificity (<xref ref-type="bibr" rid="B35">35</xref>). Considering that AOSD shares pathology with sJIA, these findings seem to support the validity of our present results and further reinforce that sJIA and AOSD are roughly the same disease.</p>
<p>We subdivided the AOSD group and the adult HLH group into four subgroups as shown in <xref ref-type="table" rid="T2"><bold>Table 2</bold></xref> and <xref ref-type="fig" rid="f1"><bold>Figure 1</bold></xref> and observed that the serum IL-18 levels in the AOSD group were significantly higher those in each subdivided adult HLH group, regardless of whether MAS was complicating with AOSD or not. There was no significant difference in serum IL-18 levels between the AOSD MAS- and MAS+ groups. In contrast to these findings, it has been reported that IL-18 or ferritin was significantly increased in AOSD patients with MAS compared to those without MAS (<xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B37">37</xref>). These different results might be due to the small sample size of the patients (n=9) and high rate of steroid use at the time of diagnosis (n=3, 33%) in the AOSD MAS+ group.</p>
<p>Regarding useful laboratory data for differentiating AOSD from adult HLH other than IL-18, the present multivariate analysis identified sIL-2R, which is a 45-kDa molecule released from activated T cells (<xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B39">39</xref>). SIL-2R is then considered a surrogate biomarker for T cell activation (<xref ref-type="bibr" rid="B40">40</xref>). On the other hand, it is also produced by dendritic cells, activated B cells and lymphoma cells (<xref ref-type="bibr" rid="B39">39</xref>), and is commonly used as a tumor marker for malignant lymphomas in clinical practice. Although serum sIL-2R levels have been also reported to be elevated not only in malignant lymphomas but also in AOSD or HLH other than LAHS (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B38">38</xref>), sIL-2R in the LAHS group was markably higher compared to other three groups (espacially the AOSD MAS- group) in this study. Tsuji et al. reported that a sIL-2R/ferritin ratio of patients in LAHS was significantly higher than that of patients in benign disease-associated HLH (8.56 <italic>vs.</italic> 0.66, p=0.0004) (<xref ref-type="bibr" rid="B41">41</xref>). Therefore, elevated serum levels of sIL-2R in LAHS might be due in part to its excessive and abnormal secretion from malignant cells.</p>
<p>On the other hand, sIL-2R in the diagnosis of adult HLH has been reported to have high sensitivity but low specificity (<xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B43">43</xref>). The same statistical trend was observed in this study (sIL-2R AOSD <italic>vs.</italic> adult HLH; sensitivity: 77.4%, specificity: 69.6%). The results of previous reports and the present study suggest that the ability of sIL-2R to differentiate between AOSD with or without MAS and adult HLH is limited.</p>
<p>Among our patients&#x2019; clinical features, the multivariate analysis demonstrated that the presence of arthralgia or arthritis, but not skin rash or sore throat, was an independent differential predictor in the AOSD group. After fever, arthralgia is the second most common symptom in patients with AOSD (<xref ref-type="bibr" rid="B44">44</xref>), occurring in more than two-thirds of patients with AOSD and in 35 of the present 46 patients (76.1%). Higher expression levels of IL-18 mRNA were observed in synovial biopsies from patients with active AOSD compared to healthy controls (<xref ref-type="bibr" rid="B23">23</xref>), suggesting that IL-18 may be associated with joint pain or arthritis in individuals with AOSD. The combination of these clinical findings with serum IL-18 levels may further improve the diagnostic accuracy for AOSD.</p>
<p>In our present patient population, the serum IL-18 levels in the AOSD group showed a strong correlation not only with ferritin but also with sIL-2R, LDH, and liver deviation enzymes, consistent with previous reports (<xref ref-type="bibr" rid="B45">45</xref>), and all of these are considered disease activity markers of AOSD (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B46">46</xref>). In patients with active AOSD, an increase in serum levels of sIL-2R correlated with IL-18 is presumed to be a mechanism by which IL-18 induces interferon-gamma production by activating T cells with IL-18 receptors, especially IL-17-positive &#x3b3;&#x3b4; cells (<xref ref-type="bibr" rid="B47">47</xref>). In the present study, LDH showed the strongest correlation with IL-18 (r= 0.85, p&lt;0.0001), and the correlation between AST and IL-18 was stronger than that between AST and IL-18. These results might indicate that IL-18 expression is widely distributed not only in the liver but also in organs throughout the body.</p>
<p>The prognosis of AOSD with MAS is worse than that of AOSD without MAS (<xref ref-type="bibr" rid="B48">48</xref>), and the mortality rate of AOSD with MAS has been high, ranging from 10% to 41% (<xref ref-type="bibr" rid="B49">49</xref>, <xref ref-type="bibr" rid="B50">50</xref>). Therefore, early prediction of progression to MAS is also important in the diagnosis of AOSD (<xref ref-type="bibr" rid="B16">16</xref>). IL-18 may also be useful for early diagnosis of AOSD-related MAS, but we could not show any difference in serum IL-18 levels between the AOSD MAS- and AOSD MAS+ group in this study. On the other hand, the HScore is an indicator developed for the diagnosis of secondary HLH, mainly in adults (<xref ref-type="bibr" rid="B51">51</xref>), and has recently been reported to be useful for the diagnosis of rheumatic disease-associated HLH, including AOSD (<xref ref-type="bibr" rid="B20">20</xref>). Although there were some missing data, the HScore was significantly higher in the AOSD MAS+ group compared to the AOSD MAS- group in the four-group comparison of the current study. The result suggests that the HScore may be useful as a predictor of MAS in the diagnosis of AOSD.</p>
<p>There are several study limitations to address. This was a retrospective and single-center study, and the possibility of unintentional selection bias in the enrollment of patients thus cannot be fully excluded. For example, 17 of the 31 patients (54.8%) in the adult HLH group had LAHS, while Ramos-Casals et al. verified the causative diseases of 2,197 cases of adult HLH or MAS, of which 798 (39.8%) were lymphoma (<xref ref-type="bibr" rid="B14">14</xref>). There might have been a partial bias in the underlying diseases of our present adult HLH group. In addition, free IL-18 (i.e., IL-18 not bound to IL-18 BP) in the serum is elevated in patients with AOSD and has been shown to be closely associated with disease activity, and IL-18 BP has been reported to bind to free IL-18 and neutralize its activity (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B47">47</xref>). The assay that we used in this study could not accurately evaluate the activity of IL-18 because it could not distinguish between free IL-18 not bound to IL-18 BP and IL-18 complexed with IL-18 BP. Finally, eight patients in the AOSD group and eight patients in the adult HLH group were using a steroid or immunosuppressive agent at the time of blood collection. This may have affected the production of cytokines, but as shown in <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure S1</bold></xref>, the ROC-AUC of IL-18 in the untreated AOSD and adult HLH groups with a cutoff value of 18,550 pg/mL was 0.87 (95%CI: 0.78&#x2013;0.94, 87.0% sensitivity, 92.1% specificity), and there was not a clear difference compared to the cases involving treated patients. There is an opportunity to diagnose AOSD patients and provide treatment interventions, and thus this result might be more in line with daily clinical practice.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusions</title>
<p>Serum IL-18 levels were shown to be a very useful biomarker for differentiating AOSD from adult HLH. In particular, when MAS is present in AOSD patients, the measurement of serum IL-18 levels may facilitate the distinction between AOSD-associated MAS and other secondary HLH/HPS. Although the diagnosis of AOSD remains challenging, the results of this study may improve the diagnostic performance for AOSD.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the study/<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Material</bold></xref>. Further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics Statement</title>
<p>This study complied with the standards of the Declaration of Helsinki, and was registered and approved by the Research Ethics Committee of the Faculty of Medicine of Kindai University (approval no. R02-218). Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author Contributions</title>
<p>Conception and design, TS, YN, MF, and IM. Acquisition of data, TS, DT, and KaK. Statistical analysis, TS, YN, and KoK. Manuscript preparation, TS, YN, and MF. All authors contributed to the manuscript&#x2019;s revision and have read and approved the submitted version</p>
</sec>
<sec id="s9" sec-type="COI-statement">
<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 id="s10" sec-type="disclaimer">
<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>
</body>
<back>
<ack>
<title>Acknowledgments</title>
<p>We thank all of the investigators who participated in this study: A. Okada, T. Itami, K. Sakai, and J. Ri.</p>
</ack>
<sec sec-type="supplementary-material" id="s11">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fimmu.2021.750114/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fimmu.2021.750114/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="DataSheet_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
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