<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="1.2" xml:lang="en">
    <front>
        <journal-meta>
            <journal-id journal-id-type="pmc">F1000Research</journal-id>
            <journal-title-group>
                <journal-title>F1000Research</journal-title>
            </journal-title-group>
            <issn pub-type="epub">2046-1402</issn>
            <publisher>
                <publisher-name>F1000 Research Limited</publisher-name>
                <publisher-loc>London, UK</publisher-loc>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.12688/f1000research.128298.1</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Research Article</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>Serum leucine-rich alpha-2 glycoprotein levels in rheumatoid arthritis and spondyloarthritis: A promising biomarker</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: 1 approved with reservations]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Siregar</surname>
                        <given-names>Rizqi Arini</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-9511-3053</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Wibowo</surname>
                        <given-names>Suryo Anggoro Kusumo</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>.</surname>
                        <given-names>Sumariyono</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Rizka</surname>
                        <given-names>Aulia</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Hidayat</surname>
                        <given-names>Rudy</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Shatri</surname>
                        <given-names>Hamzah</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-1393-9669</uri>
                    <xref ref-type="aff" rid="a4">4</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Koesnoe</surname>
                        <given-names>Sukamto</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a5">5</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Irawan</surname>
                        <given-names>Cosphiadi</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a6">6</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Division of Rheumatology, Department of Internal Medicine, Universitas Indonesia/Dr. Cipto Mangunkusumo National Central Public Hospital, Jakarta, 10430, Indonesia</aff>
                <aff id="a2">
                    <label>2</label>Department of Internal Medicine, Faculty of Medicine, Universitas Sumatera Utara, Medan, 20155, Indonesia</aff>
                <aff id="a3">
                    <label>3</label>Division of Geriatrics, Department of Internal Medicine, Universitas Indonesia/Dr. Cipto Mangunkusumo National Central Public Hospital,, Jakarta, 10430, Indonesia</aff>
                <aff id="a4">
                    <label>4</label>Division of Psychosomatic Medicine, Department of Internal Medicine, Universitas Indonesia/Dr. Cipto Mangunkusumo National Central Public Hospital, Jakarta, 10430, Indonesia</aff>
                <aff id="a5">
                    <label>5</label>Division of Allergy and Immunology, Department of Internal Medicine, Universitas Indonesia/Dr. Cipto Mangunkusumo National Central Public Hospital, Jakarta, 10430, Indonesia</aff>
                <aff id="a6">
                    <label>6</label>Division of Medical Hematology and Oncology, Department of Internal Medicine, Universitas Indonesia/Dr. Cipto Mangunkusumo National Central Public Hospital, Jakarta, 10430, Indonesia</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:arini_siregar@yahoo.com">arini_siregar@yahoo.com</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>15</day>
                <month>12</month>
                <year>2022</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2022</year>
            </pub-date>
            <volume>11</volume>
            <elocation-id>1526</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>6</day>
                    <month>12</month>
                    <year>2022</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2022 Siregar RA et al.</copyright-statement>
                <copyright-year>2022</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <self-uri content-type="pdf" xlink:href="https://f1000research.com/articles/11-1526/pdf"/>
            <abstract>
                <p>
                    <bold>Background:</bold> In the early stages of the disease, some of the signs and symptoms of joint inflammation in rheumatoid arthritis (RA) may resemble that of spondyloarthritis (SpA). An examination that can help distinguish RA and SpA is warranted. One such examination is the measurement of serum leucine-rich alpha-2 glycoprotein (LRG) levels. This study aimed to measure serum LRG levels in RA and SpA patients and determine the role of LRG in the diagnosis of RA and SpA.</p>
                <p>
                    <bold>Methods:</bold> This is a cross-sectional study consisting of 26 RA subjects and 26 SpA subjects. The SpA subjects were further grouped into ankylosing spondylitis (AS), psoriatic arthritis (PsA), and peripheral SpA. Measurement of serum LRG levels were conducted using ELISA. Difference between LRG levels of the two groups were compared using the Mann-Whitney test.</p>
                <p>
                    <bold>Results:</bold> LRG levels were elevated in 76.9% and 84.6% of subjects with RA and SpA, respectively. The median LRG levels were higher in RA subjects (77.03 (27.16&#x2013;107.73)) than SpA (68.67 (33.15&#x2013;115.18)). There was no significant difference in LRG levels in RA and SpA subjects (
                    <italic toggle="yes">p</italic> = .442). The RA and PsA group were predominated by diseases of moderate activity, 88.5% and 58.3%, respectively. In comparison, AS was dominated by high disease activity (85.7%). The highest median LRG levels in AR and SpA subjects were in new-onset patients (82.21 
                    <italic toggle="yes">vs.</italic> 72.25 &#x00b5;g/dL).</p>
                <p>
                    <bold>Conclusions:</bold> There was no significant difference in LRG levels between RA and SpA subjects. The role of LRG in the diagnosis of RA and SpA remains to be determined in future studies.</p>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>rheumatoid arthritis</kwd>
                <kwd>spondyloarthritis</kwd>
                <kwd>leucine-rich alpha-2 glycoprotein</kwd>
            </kwd-group>
            <funding-group>
                <funding-statement>The author(s) declared that no grants were involved in supporting this work.</funding-statement>
            </funding-group>
        </article-meta>
    </front>
    <body>
        <sec id="sec1" sec-type="intro">
            <title>Introduction</title>
            <p>Arthritis is an inflammatory process characterized by pain, swelling and stiffness of the joints. Chronic inflammation of the joints can lead to joint deformity and destruction of structures in proximity to the joints. Early identification of the etiologies of arthritis is pivotal to promote clinical improvement, prevent the development of structural and functional joint damage, and consequently preserve patient quality of life.
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>
                </sup> Two of the major causes of arthritis are systemic autoimmune diseases, such as rheumatoid arthritis (RA) and spondyloarthritis (SpA).
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref3">3</xref>
                </sup>
            </p>
            <p>The prevalence of these two diseases is similar. The global prevalence of RA is 0.5&#x2013;1%, while the exact prevalence of RA in Indonesia is unknown. However, based on a prevalence of 0.5&#x2013;1% of the total population of Indonesia, it can be estimated that RA occurs in around 1.3 million Indonesians in 2020.
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup> Meanwhile, the prevalence of SpA is about 0.5&#x2013;2% of the world population.
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref6">6</xref>
                </sup>
            </p>
            <p>The pathogenesis of RA and SpA is complex and distinct from one another. RA is an autoimmune disease characterized by the production of rheumatoid factor (RF) and anti-citrullinating protein antibody (ACPA).
                <sup>
                    <xref ref-type="bibr" rid="ref7">7</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>
                </sup> Patients with RA who are positive for RF, ACPA, or both, which represents approximately 75&#x2013;85% of all patients with RA, are classified as seropositive RA. However, approximately 20% of patients with RA are negative for RF and/or ACPA and are consequently classified as seronegative RA.
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>
                </sup> The absence of antibodies in SpA renders it difficult to distinguish from seronegative RA in some cases. SpA is a group of systemic rheumatic diseases characterized by chronic autoinflammation of the innate immune system and is associated with HLA-B27.
                <sup>
                    <xref ref-type="bibr" rid="ref6">6</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref7">7</xref>
                </sup> SpA is further subdivided into psoriatic arthritis (PsA), ankylosing spondylitis (AS), reactive arthritis, arthritis associated with inflammatory bowel disease (IBD) and non-specific arthritis.
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref10">10</xref>
                </sup>
            </p>
            <p>In the early stages of the disease, some of the signs and symptoms of joint inflammation in RA may resemble that of SpA. This can lead to difficulty in pinpointing a diagnosis, which then affects the extent of joint damage. A cohort study by Combe 
                <italic toggle="yes">et al.</italic>, suggested that early diagnosis is the key to a good outcome in the management of arthritis.
                <sup>
                    <xref ref-type="bibr" rid="ref11">11</xref>
                </sup> Despite this urgency, classification criteria and clinical diagnostic standards are often only useful one or two years after disease onset. Additionally, clinicians may not use them consistently and uniformly when classifying early-phase arthritis.
                <sup>
                    <xref ref-type="bibr" rid="ref11">11</xref>
                </sup>
                <sup>&#x2013;</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref13">13</xref>
                </sup>
            </p>
            <p>The annual incidence of early inflammatory arthritis (EIA) ranges from 115 to 271 per 100,000 adults. The annual incidence of undifferentiated arthritis (UA) ranges from 41 to 149 per 100,000 adults. Around 13&#x2013;54% of UA will progress to RA, whereas 21&#x2013;87% of UA will persist. Several cohort studies report that early-phase arthritis patients who are referred to rheumatology for further assessment had to wait for 2 to 36 months to be reclassified to a more specific arthritis.
                <sup>
                    <xref ref-type="bibr" rid="ref14">14</xref>
                </sup> These holdups can lead to delays in diagnosis and administration of therapy. Several studies have shown that patients with RA diagnosed in more than 12 weeks since the onset of symptoms eventually exhibited more severe joint destruction. Over a course of 10 years, 92% of patients showed decreased functional ability and about 50% required assistance in performing daily activities.
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref16">16</xref>
                </sup>
            </p>
            <p>Providing a correct diagnosis will positively impact the management of these patients as some medical therapies for RA may not be effective in SpA. For instance, the B cell targeting drug rituximab is considered effective in RA but has yet to be proven effective in SpA. By contrast, the administration of drugs targeting the interleukin (IL)-12/IL-23 and IL-17 pathways have proven beneficial in PsA, but not in RA.
                <sup>
                    <xref ref-type="bibr" rid="ref17">17</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref18">18</xref>
                </sup>
            </p>
            <p>In some cases, RA and SpA may show clinical symptoms that are difficult to distinguish from one another. Therefore, an examination to assist the diagnosis of RA and SpA is warranted. One such examination is the measurement of leucine-rich alpha-2 glycoprotein (LRG) levels. LRG is a 50 kDa leucine-rich glycoprotein synthesized in hepatocytes, neutrophils, macrophages, and epithelial cells of inflamed tissues. LRG expression is mostly stimulated by IL-6 or IL-1 but could also be induced by IL-1&#x03b2;, IL-22, and NF-&#x03b1;. Increased pro-inflammatory cytokines, especially IL-6, has been shown to indirectly increase LRG.
                <sup>
                    <xref ref-type="bibr" rid="ref19">19</xref>
                </sup>
                <sup>&#x2013;</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref21">21</xref>
                </sup>
            </p>
            <p>Studies assessing LRG levels in the synovial fluid of RA and SpA patients have previously been conducted, with varying results being obtained. Several studies examining LRG levels in synovial fluid, including one by Birkelund 
                <italic toggle="yes">et al.</italic>, reported that synovial fluid proteomics analysis from SpA and RA patients showed striking differences in the amount of innate immune system proteins, especially those from neutrophil granulocytes, including LRG. This protein was found to be more abundant in the RA patient group.
                <sup>
                    <xref ref-type="bibr" rid="ref22">22</xref>
                </sup> Furthermore, there are also studies examining the utility of serum LRG levels in differentiating EIA. McArdle 
                <italic toggle="yes">et al.</italic>, analyzed serum protein biomarkers from RA and PsA patients using multiple reaction monitoring (MRM). LRG was recognized as one of the proteins that was able to distinguish RA from PsA, which was found to be significantly increased in RA relative to PsA. This increase in LRG is associated with a relatively higher level of IL-6 in RA compared to SpA, which in turn produced a greater increase in LRG expression.
                <sup>
                    <xref ref-type="bibr" rid="ref17">17</xref>
                </sup> Nakajima 
                <italic toggle="yes">et al.</italic>, found that serum LRG levels were also elevated in patients with PsA compared to patients with psoriasis vulgaris.
                <sup>
                    <xref ref-type="bibr" rid="ref23">23</xref>
                </sup>
            </p>
            <p>Currently, there are no existing studies comparing LRG values in RA and SpA patients using blood samples. Therefore, we analyzed serum LRG levels in patients with confirmed RA and SpA. The results of this study can hopefully be used as primary data to distinguish RA and SpA in cases where they are difficult to discern and aid in better understanding the role of LRG the diagnosis of RA and SpA.</p>
        </sec>
        <sec id="sec2" sec-type="methods">
            <title>Methods</title>
            <sec id="sec3">
                <title>Ethics statement</title>
                <p>This study has received approval from the Research Ethics Committee of Faculty of Medicine Universitas Indonesia and Dr. Cipto Mangunkusumo National Central Public Hospital (KET-197/UN2.F1/ETIK/PPM.00.02/2022) on 28 February 2022. Written informed consent for their participation in the study and publication of the patients&#x2019; details was obtained from each of the patients. The patients were anonymized and identified through the medical record number.</p>
            </sec>
            <sec id="sec4">
                <title>Selection and recruitment of subjects</title>
                <p>This research was a cross-sectional study conducted at the Rheumatology Polyclinic of Dr. Cipto Mangunkusumo National Central Public Hospital (RSCM) (Jakarta, Indonesia) from March to May of 2022. This study is reported in line with the STROBE guidelines.
                    <sup>
                        <xref ref-type="bibr" rid="ref24">24</xref>
                    </sup> The research subjects were recruited by consecutive sampling. The inclusion criteria included: patients aged over 18 years old; confirmed seropositive active RA patients in accordance with the disease activity score-28 for RA (DAS28); active SpA patients in accordance with the classification criteria of each disease, namely AS disease activity score (ASDAS) for AS and peripheral SpA and disease activity index for PsA (DAPSA) for PsA; and (4) patients able to fill out the consent form and are willing to participate in the study. Patients with other systemic autoimmune diseases, acute infectious diseases, liver disorders, and malignancies were excluded from the study.</p>
                <p>This study also divided the subjects to several subgroups. C-reactive protein (CRP) levels were measured and patients with elevated CRP, defined as greater than 5 mg/dL, were analyzed separately. The LRG levels of both RA and SpA patients were also analyzed separately based on their disease activity and disease onset. Na&#x00ef;ve patients, defined as patients with no prior exposure to conventional or disease-modifying anti-rheumatic drugs (DMARD), were categorized as &#x201c;new onset&#x201d;. Meanwhile patients who have received DMARD were categorized as &#x201c;old onset&#x201d;. Appropriate criteria cut-off points were used according to the corresponding disease in determining disease activity. Determination of sample size can be found as 
                    <italic toggle="yes">Underlying data.</italic>
                    <sup>
                        <xref ref-type="bibr" rid="ref24">24</xref>
                    </sup>
                </p>
            </sec>
            <sec id="sec5">
                <title>Measurement of leucine-rich alpha-2 glycoprotein and c-reactive protein levels</title>
                <p>Blood samples collected from patients were analyzed for LRG and CRP levels in an ISO-certified laboratory at Universitas Indonesia. To extract the serum, 6 mL of whole blood was drawn and centrifuged (Heraeus Labofuge 200, Thermo Fisher Scientific, Waltham (MA), USA) at 3,000 rpm for 15 minutes and 2,000 rpm for 5 minutes for LRG and CRP, respectively. LRG measurement was performed with Human LRG ELISA Assay Kit (Immuno-Biological Laboratories Co., Ltd., Fujioka, Gunma, Japan) and read with spectrophotometry at 450 nm. Meanwhile, CRP measurement was performed with immunoturbidimetry using cobas c 311 analyzer (Roche Holding AG, Basel, Switzerland).</p>
            </sec>
            <sec id="sec6">
                <title>Statistical analysis</title>
                <p>Statistical analyses of the collected data were processed using IBM SPSS Statistics (RRID:SCR_016479) 24.0 for Mac program (IBM Corp., Armonk (NY), USA). Comparison of LRG levels were analyzed using the parametric independent samples 
                    <italic toggle="yes">t</italic>-test or Mann-Whitney non-parametric test depending on the distribution of the data, which was determined 
                    <italic toggle="yes">via</italic> the Shapiro-Wilk test.</p>
            </sec>
        </sec>
        <sec id="sec7" sec-type="results">
            <title>Results</title>
            <p>Ultimately, 26 patients with RA and 26 patients with SpA were included as research subjects, totaling at 52 patients. A flow diagram of subject inclusion can be found as 
                <italic toggle="yes">Underlying data.</italic>
                <sup>
                    <xref ref-type="bibr" rid="ref24">24</xref>
                </sup> Characteristics of the research subjects are shown in 
                <xref ref-type="table" rid="T1">Table 1</xref>.
                <sup>
                    <xref ref-type="bibr" rid="ref24">24</xref>
                </sup>
            </p>
            <table-wrap id="T1" orientation="portrait" position="float">
                <label>Table 1. </label>
                <caption>
                    <title>Characteristics of included research subjects.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="middle">Characteristics</th>
                            <th align="left" colspan="1" rowspan="1" valign="middle">RA (n = 26)</th>
                            <th align="left" colspan="1" rowspan="1" valign="middle">SpA (n = 26)</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>Sex (n [%])</bold>
                            </td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <p>
                                    <list list-type="bullet">
                                        <list-item>
                                            <label>&#x2022;</label>
                                            <p>Male</p>
                                        </list-item>
                                    </list>
                                </p>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2 (7.7%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">8 (30.8%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <p>
                                    <list list-type="bullet">
                                        <list-item>
                                            <label>&#x2022;</label>
                                            <p>Female</p>
                                        </list-item>
                                    </list>
                                </p>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">24 (92.3%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">18 (69.2%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>Age (years) (mean &#x00b1; SD)</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">49 &#x00b1; 12</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">41 &#x00b1; 10</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>Diagnosis (n [%])</bold>
                            </td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <p>
                                    <list list-type="bullet">
                                        <list-item>
                                            <label>&#x2022;</label>
                                            <p>Peripheral SpA</p>
                                        </list-item>
                                    </list>
                                </p>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>-</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1 (3.8%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <p>
                                    <list list-type="bullet">
                                        <list-item>
                                            <label>&#x2022;</label>
                                            <p>Ankylosing spondylitis</p>
                                        </list-item>
                                    </list>
                                </p>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>-</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">13 (50%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <p>
                                    <list list-type="bullet">
                                        <list-item>
                                            <label>&#x2022;</label>
                                            <p>Psoriatic arthritis</p>
                                        </list-item>
                                    </list>
                                </p>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>-</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">12 (46.2%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>DAS28 (n [%])</bold>
                            </td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <p>
                                    <list list-type="bullet">
                                        <list-item>
                                            <label>&#x2022;</label>
                                            <p>Moderate (&gt; 3.2&#x2013;5.1)</p>
                                        </list-item>
                                    </list>
                                </p>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">22 (88.5%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">-</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <p>
                                    <list list-type="bullet">
                                        <list-item>
                                            <label>&#x2022;</label>
                                            <p>Severe (&gt; 5.1)</p>
                                        </list-item>
                                    </list>
                                </p>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">4 (11.5%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">-</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>DAPSA (n [%])</bold>
                            </td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <p>
                                    <list list-type="bullet">
                                        <list-item>
                                            <label>&#x2022;</label>
                                            <p>Moderate (15&#x2013;23, 25&#x2013;29)</p>
                                        </list-item>
                                    </list>
                                </p>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">-</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">7 (58.3%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <p>
                                    <list list-type="bullet">
                                        <list-item>
                                            <label>&#x2022;</label>
                                            <p>Severe (&gt; 28)</p>
                                        </list-item>
                                    </list>
                                </p>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">-</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">5 (41.7%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>ASDAS (n [%])</bold>
                            </td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <p>
                                    <list list-type="bullet">
                                        <list-item>
                                            <label>&#x2022;</label>
                                            <p>High (&#x2265; 2.1&#x2013;3.5)</p>
                                        </list-item>
                                    </list>
                                </p>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">-</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">12 (85.7%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <p>
                                    <list list-type="bullet">
                                        <list-item>
                                            <label>&#x2022;</label>
                                            <p>Very high (&#x2265; 3.5)</p>
                                        </list-item>
                                    </list>
                                </p>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">-</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2 (14.3%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>Rheumatoid factor positive (n [%])</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">26 (100%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">-</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>LRG (n [%])</bold>
                            </td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <p>
                                    <list list-type="bullet">
                                        <list-item>
                                            <label>&#x2022;</label>
                                            <p>Normal (21&#x2013;50 &#x03bc;g/dL)</p>
                                        </list-item>
                                    </list>
                                </p>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">6 (23.1%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">4 (15.4%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <p>
                                    <list list-type="bullet">
                                        <list-item>
                                            <label>&#x2022;</label>
                                            <p>Increased (&gt; 50 &#x03bc;g/dL)</p>
                                        </list-item>
                                    </list>
                                </p>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">20 (76.9%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">22 (84.6%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>LRG level (&#x03bc;g/dL)</bold> (
                                <bold>median [range])</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">77.03 (27.16&#x2013;107.73)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">68.9 &#x00b1; 21.5
                                <xref ref-type="table-fn" rid="tfn1">*</xref>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>CRP level (mg/dL)</bold> (
                                <bold>median [range])</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">13.9 (1.2&#x2013;45.5)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">9.45 (0.6&#x2013;54.2)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>Treatment (n [%])</bold>
                            </td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <p>
                                    <list list-type="bullet">
                                        <list-item>
                                            <label>&#x2022;</label>
                                            <p>Non-DMARD</p>
                                        </list-item>
                                    </list>
                                </p>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">5 (19.2%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2 (7.7%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <p>
                                    <list list-type="bullet">
                                        <list-item>
                                            <label>&#x2022;</label>
                                            <p>DMARD monotherapy</p>
                                        </list-item>
                                    </list>
                                </p>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">12 (46.2%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">18 (69.2%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <p>
                                    <list list-type="bullet">
                                        <list-item>
                                            <label>&#x2022;</label>
                                            <p>Combination of 2 DMARD</p>
                                        </list-item>
                                    </list>
                                </p>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">7 (26.9%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">5 (19.2%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <p>
                                    <list list-type="bullet">
                                        <list-item>
                                            <label>&#x2022;</label>
                                            <p>Combination of 3 DMARD</p>
                                        </list-item>
                                    </list>
                                </p>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2 (7.7%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1 (3.9%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>Glucocorticoid use (n [%])</bold>
                            </td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <p>
                                    <list list-type="bullet">
                                        <list-item>
                                            <label>&#x2022;</label>
                                            <p>Did not use</p>
                                        </list-item>
                                    </list>
                                </p>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">6 (23.1%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">6 (23.1%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <p>
                                    <list list-type="bullet">
                                        <list-item>
                                            <label>&#x2022;</label>
                                            <p>Methylprednisolone &#x2264; 4 mg</p>
                                        </list-item>
                                    </list>
                                </p>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">11 (42.3%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3 (11.5%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <p>
                                    <list list-type="bullet">
                                        <list-item>
                                            <label>&#x2022;</label>
                                            <p>Methylprednisolone &gt; 4 mg</p>
                                        </list-item>
                                    </list>
                                </p>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">9 (34.6%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">-</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <p>
                                    <list list-type="bullet">
                                        <list-item>
                                            <label>&#x2022;</label>
                                            <p>NSAID</p>
                                        </list-item>
                                    </list>
                                </p>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">-</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">17 (65.4%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>Disease onset (n [%])</bold>
                            </td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <p>
                                    <list list-type="bullet">
                                        <list-item>
                                            <label>&#x2022;</label>
                                            <p>New onset</p>
                                        </list-item>
                                    </list>
                                </p>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">5 (19.2%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1 (3.85%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <p>
                                    <list list-type="bullet">
                                        <list-item>
                                            <label>&#x2022;</label>
                                            <p>Old onset</p>
                                        </list-item>
                                    </list>
                                </p>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">21 (80.8%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">25 (96.15%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>Comorbidities (n [%])</bold>
                            </td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <p>
                                    <list list-type="bullet">
                                        <list-item>
                                            <label>&#x2022;</label>
                                            <p>No comorbidity</p>
                                        </list-item>
                                    </list>
                                </p>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">6 (23%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">10 (38.5%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <p>
                                    <list list-type="bullet">
                                        <list-item>
                                            <label>&#x2022;</label>
                                            <p>One comorbidity</p>
                                        </list-item>
                                    </list>
                                </p>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">10 (38.5%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">11 (42.3%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <p>
                                    <list list-type="bullet">
                                        <list-item>
                                            <label>&#x2022;</label>
                                            <p>More than one comorbidity</p>
                                        </list-item>
                                    </list>
                                </p>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">10 (38.5%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">5 (19.2%)</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <fn-group content-type="footnotes">
                        <fn id="tfn1">
                            <label>
                                <sup>*</sup>
                            </label>
                            <p>Mean was used as the data was normally distributed; RA: rheumatoid arthritis; SpA: spondyloarthritis; DAS28: disease activity score-28 for rheumatoid arthritis; DAPSA: disease activity index for psoriatic arthritis; ASDAS: ankylosing spondylitis disease activity score; LRG: leucine-rich alpha-2 glycoprotein; CRP: C-reactive protein; DMARD: disease-modifying anti-rheumatic drugs; NSAID: non-steroidal anti-inflammatory drugs</p>
                        </fn>
                    </fn-group>
                </table-wrap-foot>
            </table-wrap>
            <p>LRG levels of the SpA and RA patients were analyzed with the Mann-Whitney test because the subjects obtained were not normally distributed. The test showed no statistical difference between the LRG levels of patients in the RA group (mean rank = 28.12) and those in the SpA group (mean rank = 24.88); Mann-Whitney 
                <italic toggle="yes">U</italic> = 296, 
                <italic toggle="yes">p</italic> = .442 two-tailed.</p>
            <p>In this study, patient LRG levels were further grouped based on disease activity, onset, comorbidity, and treatment (
                <xref ref-type="table" rid="T2">Table 2</xref>). Meanwhile, 
                <xref ref-type="table" rid="T3">Table 3</xref> shows the serum LRG levels of RA and SpA patients based on disease onset. Additional analyses were also conducted to determine the difference in LRG levels between the RA group and the SpA group based on CRP levels and disease activity.</p>
            <table-wrap id="T2" orientation="portrait" position="float">
                <label>Table 2. </label>
                <caption>
                    <title>LRG levels based on disease activity, onset, comorbidities, and treatment in RA and SpA subjects.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="2" valign="middle">LRG levels</th>
                            <th align="left" colspan="1" rowspan="2" valign="middle">RA (n = 26)</th>
                            <th align="left" colspan="3" rowspan="1" valign="middle">SpA (n = 26)</th>
                        </tr>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="middle">AS (n = 13)</th>
                            <th align="left" colspan="1" rowspan="1" valign="middle">PsA (n = 12)</th>
                            <th align="left" colspan="1" rowspan="1" valign="middle">Peripheral SpA (n = 1)</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>Total LRG level (&#x03bc;g/dL) (median [range])</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">77.03 (27.16&#x2013;107.73)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">58.6 (41.6&#x2013;92.4)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">75.3 (33.15&#x2013;115.18)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">55.07</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="5" rowspan="1" valign="middle">
                                <bold>LRG level based on disease activity (&#x03bc;g/dL) (median [range])</bold>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Moderate</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">82.62 (27.16&#x2013;107.73)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">-</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">68.7 (33.15&#x2013;115.18)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">-</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">High</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">59.45 (34.85&#x2013;97.68)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">72.25 (41.6&#x2013;92.4)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">92.9 (89.4&#x2013;103.5)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">-</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Very high</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">-</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">59.5 (56.2&#x2013;62.7)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">-</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">55.07</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="5" rowspan="1" valign="middle">
                                <bold>LRG level based on disease onset (&#x03bc;g/dL) (median [range])</bold>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">New onset</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">82.21 (54.26&#x2013;107.73)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">72.25</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">-</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">-</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Old onset</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">72 (27.16&#x2013;104.12)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">57.4 (41.6&#x2013;92.4)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">75.3 (33.2&#x2013;115.2)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">55.07</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="5" rowspan="1" valign="middle">
                                <bold>LRG level based on presence of comorbidities (median [range])</bold>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">No comorbidity</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">86.92 (41.33&#x2013;104.02)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">64.3 (44.4&#x2013;79.7)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">85.9 (68.2&#x2013;115.2)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">55.07</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">One comorbidity</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">66.48 (47.6 &#x2013;104.12)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">60.6 (41.5&#x2013;92.4)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">80.7 (70&#x2013;92.6)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">-</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">More than one comorbidity</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">71.26 (27.16&#x2013;107.73)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">52.5</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">70.9 (36.9&#x2013;93.4)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">-</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="5" rowspan="1" valign="middle">
                                <bold>LRG level based on treatment (median [range])</bold>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Have not received DMARD</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">82.21 (54.26&#x2013;107.73)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">64.25 (56.24-72.25)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">-</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">-</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">DMARD monotherapy</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">59.56 (27.16&#x2013;104.12)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">56.12 (41.63&#x2013;92.41)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">80.7 (33.15&#x2013;103.53)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">55.07</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Combination of 2 DMARD</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">90.81 (51.43&#x2013;104.02)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">79.7</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">60.37 (36.87&#x2013;103.53)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">-</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Combination of 3 DMARD</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">73.98 (47.6&#x2013;100.35)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">-</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">89.44</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">-</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <p>LRG: leucine-rich alpha-2 glycoprotein; RA: rheumatoid arthritis; SpA: spondyloarthritis; AS: ankylosing spondylitis; PsA: psoriatic arthritis; DMARD: disease-modifying anti-rheumatic drugs.</p>
                </table-wrap-foot>
            </table-wrap>
            <table-wrap id="T3" orientation="portrait" position="float">
                <label>Table 3. </label>
                <caption>
                    <title>Serum LRG levels based on disease onset.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="2" valign="middle">LRG levels (n [%])</th>
                            <th align="left" colspan="2" rowspan="1" valign="middle">New onset</th>
                            <th align="left" colspan="2" rowspan="1" valign="middle">Old Onset</th>
                        </tr>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="middle">RA</th>
                            <th align="left" colspan="1" rowspan="1" valign="middle">SpA</th>
                            <th align="left" colspan="1" rowspan="1" valign="middle">RA</th>
                            <th align="left" colspan="1" rowspan="1" valign="middle">SpA</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Normal (21&#x2013;50 &#x03bc;g/dL)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>-</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>-</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">6 (28.6%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">4 (16%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Increased (&gt; 50 &#x03bc;g/dL)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">5 (100%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1 (100%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">15 (71.4%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">21 (84%)</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <p>LRG: leucine-rich alpha-2 glycoprotein; RA: rheumatoid arthritis; SpA: spondyloarthritis.</p>
                </table-wrap-foot>
            </table-wrap>
            <p>Patients with elevated CRP were analyzed separately as means to control the potential subjectivity in the assessment of disease activity. Elevated CRP was observed in 21 RA patients and 20 SpA patients. As the data were not normally distributed, the Mann-Whitney test was used. The test showed no statistical difference between the LRG levels of patients with RA (mean rank = 23.24) and those with SpA (mean rank = 18.65); Mann-Whitney 
                <italic toggle="yes">U</italic> = 163, 
                <italic toggle="yes">p</italic> = .220 two-tailed.</p>
            <p>Comparison of LRG levels between RA subjects with moderate disease activity (n = 22) and SpA with high-very high disease activity (n = 19) was also conducted. This additional analysis was performed to further clarify the difference in LRG levels between the two largest groups, which was composed mostly of the RA and SpA group. As the data were not normally distributed, the Mann-Whitney test was used. The test showed no statistical difference between the LRG levels of patients with RA of moderate activity (mean rank = 21.82) and those with SpA of high-very high activity (mean rank = 20.05); Mann-Whitney 
                <italic toggle="yes">U</italic> = 191, n
                <sub>1</sub> = 22 n
                <sub>2</sub> = 19, 
                <italic toggle="yes">p</italic> = .144 two-tailed.</p>
        </sec>
        <sec id="sec8" sec-type="discussion">
            <title>Discussion</title>
            <sec id="sec9">
                <title>Leucine-rich alpha-2 glycoprotein levels in rheumatoid arthritis and spondyloarthritis based on age, sex, and onset</title>
                <p>This study recruited 26 RA patients and 26 SpA patients who visited the RSCM Rheumatology Polyclinic from March to of May 2022 and met the inclusion and exclusion criteria of the study. The sex of the RA subjects was predominantly female, aligning with the theory that women have a 2&#x2013;3 times higher risk of developing RA than men. However, it was reported that no meaningful difference exists in RA incidence between men and women men over 70 years old.
                    <sup>
                        <xref ref-type="bibr" rid="ref5">5</xref>
                    </sup> There is strong evidence that autoimmunity is influenced by genetics and sexual chromosomes. For instance, estrogen has been shown to increase the secretion of pro-inflammatory cytokines and exert anti-apoptotic activity and its receptors are found on various immune cells. Hence, estrogen is associated with the development of RA.
                    <sup>
                        <xref ref-type="bibr" rid="ref25">25</xref>
                    </sup>
                </p>
                <p>The majority of SpA subjects in this study were female. This predilection was also observed in the SpA subgroups, namely AS and PsA. Previous study by Baumberger 
                    <italic toggle="yes">et al.</italic>, had shown that the majority of AS patients are male, with a ratio of 57:1 in 1980 and 1.03:1 in 2016.
                    <sup>
                        <xref ref-type="bibr" rid="ref26">26</xref>
                    </sup> This is also supported by a study conducted by Tsui 
                    <italic toggle="yes">et al.</italic>, which had shown that the presence of the tissue non-specific alkaline phosphatase (TNAP) haplotype, which interacts with the progressive ankylosis protein homolog (ANKH) gene (a gene that is involved in osteogenesis and ankylosis in AS), is associated with AS in men.
                    <sup>
                        <xref ref-type="bibr" rid="ref27">27</xref>
                    </sup> Although AS is more dominant in men than women. Another subtype of SpA, namely PsA, affects men and women equally.
                    <sup>
                        <xref ref-type="bibr" rid="ref28">28</xref>
                    </sup>
                    <sup>&#x2013;</sup>
                    <sup>
                        <xref ref-type="bibr" rid="ref30">30</xref>
                    </sup> Sex distribution is related to disease presentation because men tend to have axial involvement, whereas peripheral joint involvement is more commonly seen in women. Kennedy 
                    <italic toggle="yes">et al.</italic>, reported that the ratio of male to female sex in PsA subjects is 2.1&#x2013;4.8:1. However, it should be noted that the study took many samples with axial involvement, which is more commonly seen in men.
                    <sup>
                        <xref ref-type="bibr" rid="ref31">31</xref>
                    </sup> Meanwhile, Nishina 
                    <italic toggle="yes">et al.</italic>, reported a different male-dominated result in peripheral SpA patients with a ratio of 2.3:1.6.
                    <sup>
                        <xref ref-type="bibr" rid="ref32">32</xref>
                    </sup>
                </p>
                <p>The mean age of RA subjects in this study was 49 years old. Other studies show that the highest incidence of RA cases is in the 50&#x2013;54 year age group.
                    <sup>
                        <xref ref-type="bibr" rid="ref33">33</xref>
                    </sup> The incidence of RA tends to increase with age. The SpA subjects had a mean age of 41 years, which was consistent with the mean age of the SpA subjects reported by Kennedy 
                    <italic toggle="yes">et al.</italic>, 
                    <italic toggle="yes">i.e.</italic>, under 50 years old.
                    <sup>
                        <xref ref-type="bibr" rid="ref31">31</xref>
                    </sup> The mean age of the AS subjects in this study was 38 years old. In one study, 92% of patients with AS were less than 45 years old at disease onset.
                    <sup>
                        <xref ref-type="bibr" rid="ref34">34</xref>
                    </sup> The mean age of the PsA subjects in this study was 41 years old. Research by Deike 
                    <italic toggle="yes">et al.</italic>, showed that most cases of PsA began at 50&#x2013;59 years old. The incidence of PsA increases with age, peaks before the age of 60 and declines aftewards.
                    <sup>
                        <xref ref-type="bibr" rid="ref35">35</xref>
                    </sup> The age of the sole female peripheral SpA patient in this study was 48 years old, consistent with the findings of de Winter 
                    <italic toggle="yes">et al.</italic>, which stated that the median age of patients with peripheral SpA was 48 (36&#x2013;55) years old.
                    <sup>
                        <xref ref-type="bibr" rid="ref56">36</xref>
                    </sup>
                </p>
                <p>Increased LRG levels were observed in the majority of both RA and SpA subjects. The highest median LRG levels were found in the RA group and the median CRP level was also higher in patients with RA. However, normal LRG results were found in six RA subjects (23.1%) and four SpA subjects (15.4%). The elevated LRG levels is consistent with findings by Birkelund 
                    <italic toggle="yes">et al.</italic>, wherein joint fluid analysis in RA and SpA subjects showed striking differences in the number of proteins from the innate immune system, especially those from neutrophil granulocytes, including LRG. This protein was found in higher concentration in the RA patient group.
                    <sup>
                        <xref ref-type="bibr" rid="ref22">22</xref>
                    </sup> Moreover, Nakajima 
                    <italic toggle="yes">et al.</italic>, reported that LRG is able to differentiate RA from PsA, as shown by the significant increase in LRG levels in patients with RA compared to those with PsA. The increase in LRG concentration may be associated with higher levels of IL-6 in RA, thus increasing the activity of LRG expression.
                    <sup>
                        <xref ref-type="bibr" rid="ref23">23</xref>
                    </sup>
                </p>
                <p>LRG is a protein secreted during the inflammatory process, which like CRP, is also an acute phase protein. In patients with RA, serum LRG levels were correlated with DAS28-ESR score and CRP level.
                    <sup>
                        <xref ref-type="bibr" rid="ref19">19</xref>
                    </sup> From the six RA subjects who had normal LRG levels in this study, two had normal CRP levels. In addition, all RA patients with normal LRG levels were old onset patients who have previously received DMARD. Methotrexate is a DMARD that lowers IL-6, an important cytokine in the formation of LRG.
                    <sup>
                        <xref ref-type="bibr" rid="ref32">32</xref>
                    </sup> The same is true for SpA subjects; from the four subjects with normal LRG levels, there was one subject with normal CRP levels. All subjects classified as old onset had received DMARD therapy in the form of methotrexate and sulfasalazine. Hence, the observed normal CRP levels and the effect of DMARD treatment may explain the presence of subjects with normal LRG levels in this study.</p>
                <p>Based on disease onset, five RA subjects were classified as new onset patients, while 21 subjects were classified as old onset patients. LRG levels showed higher results in RA subjects classified as new onset patients. As for the SpA subjects, one subject was categorized as new onset and 25 other subjects were categorized as old onset. Aside from being untreated, the higher level of LRG observed in subjects with new onset disease may be related to IL-6 expression in the early stages of the disease. As suggested by animal studies, synovial tissue samples of animals with antigen-induced arthritis (AIA) and adjuvant-induced arthritis (AA), revealed that the expression of IL-6 peaked in the early stages of the disease and decreased in the later stages of the disease.
                    <sup>
                        <xref ref-type="bibr" rid="ref57">37</xref>
                    </sup> Another study also found that IL-6 is expressed in the sacroiliac joints AS subjects of new disease onset.
                    <sup>
                        <xref ref-type="bibr" rid="ref36">38</xref>
                    </sup>
                </p>
            </sec>
            <sec id="sec10">
                <title>The effect of comorbidity and treatment on leucine-rich alpha-2 glycoprotein levels</title>
                <p>In this study, 17 RA subjects had comorbidities, among them were type 2 diabetes mellitus (T2DM), osteoarthritis (OA), fibromyalgia, controlled hypertension, and pregnancy of eight weeks. The highest concentrations of LRG were found in RA patients who also had OA and fibromyalgia. Of all the subjects with SpA, 14 had comorbidities, including controlled hypertension, IBD, dyslipidemia, T2DM, osteoporosis, OA, and hyper-IgE syndrome. The highest LRG levels were obtained in subjects without comorbidities as they happen to be new onset patients.</p>
                <p>Several studies support the prevalence of DM in patients with RA. TNF-&#x03b1; and IL-6 are associated with the pathogenesis of DM, insulin resistance and RA. Long-term exposure to elevated levels of IL-6 triggers insulin resistance, which may play a role in the incidence of DM in patients with RA.
                    <sup>
                        <xref ref-type="bibr" rid="ref37">39</xref>
                    </sup> Plasma LRG levels can predict the progression of kidney disease and the incidence of albuminuria in patients with DM. LRG levels in subjects with albuminuria were significantly higher than subjects with stable albuminuria or those in regression. LRG levels in DM subjects with chronic kidney disease (CKD) progression were also much higher than subjects with normal kidney function.
                    <sup>
                        <xref ref-type="bibr" rid="ref38">40</xref>
                    </sup> In another study, LRG levels were twice as high in subjects with end-stage renal disease (ESRD) who had been treated with hemodialysis than in patients with stage 2/3 CKD.
                    <sup>
                        <xref ref-type="bibr" rid="ref39">41</xref>
                    </sup> Prospective study in Southeast Asia in subjects with T2DM stated that high plasma LRG levels were associated with an increased risk of heart failure events.
                    <sup>
                        <xref ref-type="bibr" rid="ref40">42</xref>
                    </sup> LRG is a novel factor in the pathogenesis of heart failure in patients with T2DM. Elevated serum LRG is also associated with peripheral arterial disease and several risk factors for cardiovascular diseases, such as arterial stiffness and endothelial dysfunction.
                    <sup>
                        <xref ref-type="bibr" rid="ref41">43</xref>
                    </sup> Furthermore, LRG levels were found to be elevated in subjects with IBD, as shown by the elevated levels of IL-6 in the colonic mucosal tissue of patients with IBD.
                    <sup>
                        <xref ref-type="bibr" rid="ref42">44</xref>
                    </sup>
                </p>
                <p>LRG levels are also elevated in other inflammatory diseases such as OA. In a murine model of OA, increased LRG expression was found in the subchondral bone and articular cartilage.
                    <sup>
                        <xref ref-type="bibr" rid="ref43">45</xref>
                    </sup> The increase in LRG is also associated with IL-6 as it is one of the pro-inflammatory cytokines that is elevated in OA synovial fluid samples.
                    <sup>
                        <xref ref-type="bibr" rid="ref44">46</xref>
                    </sup> In addition, LRG is also a biomarker of fibromyalgia.
                    <sup>
                        <xref ref-type="bibr" rid="ref23">23</xref>
                    </sup>
                    <sup>,</sup>
                    <sup>
                        <xref ref-type="bibr" rid="ref45">47</xref>
                    </sup>
                    <sup>,</sup>
                    <sup>
                        <xref ref-type="bibr" rid="ref46">48</xref>
                    </sup> As serum IL-6 levels are elevated in subjects with fibromyalgia, it is suggested that fibromyalgia may affect the assessment of inflammatory activity in patients with RA.
                    <sup>
                        <xref ref-type="bibr" rid="ref47">49</xref>
                    </sup> This is in line with the results of this study, which showed that RA subjects with OA and fibromyalgia had the highest concentration of serum LRG.</p>
                <p>The highest levels of LRG in RA subjects were found in subjects who had not received DMARD therapy, aligning with previous studies that showed that DMARD therapy reduced IL-6 concentration in patients with RA.
                    <sup>
                        <xref ref-type="bibr" rid="ref48">50</xref>
                    </sup> As for AS subjects, the highest LRG levels were found in subjects with a combination of DMARD and steroid treatment, while the lowest was in the combination of DMARD and paracetamol. In PsA subjects, the highest LRG levels were found in the DMARD monotherapy group and the lowest in the DMARD and steroid combination group. It can be inferred that DMARDs and steroids play a role in regulating IL-6 and blocking NF-&#x03ba;B as promoters of LRG synthesis.
                    <sup>
                        <xref ref-type="bibr" rid="ref32">32</xref>
                    </sup>
                    <sup>,</sup>
                    <sup>
                        <xref ref-type="bibr" rid="ref48">50</xref>
                    </sup>
                    <sup>,</sup>
                    <sup>
                        <xref ref-type="bibr" rid="ref49">51</xref>
                    </sup>
                </p>
            </sec>
            <sec id="sec11">
                <title>Leucine-rich alpha-2 glycoprotein levels in rheumatoid arthritis</title>
                <p>LRG levels were found to be increased in 76.9% of subjects with RA, with the highest median LRG level observed in subjects with RA (77.03 
                    <italic toggle="yes">vs.</italic> 68.67 &#x03bc;g/mL). These results align with the studies of Fujimoto 
                    <italic toggle="yes">et al.</italic>, Naka 
                    <italic toggle="yes">et al.</italic>, and Serada 
                    <italic toggle="yes">et al.</italic>, which reported the elevation of serum LRG in various autoimmune diseases, including RA.
                    <sup>
                        <xref ref-type="bibr" rid="ref19">19</xref>
                    </sup>
                    <sup>,</sup>
                    <sup>
                        <xref ref-type="bibr" rid="ref50">52</xref>
                    </sup>
                    <sup>,</sup>
                    <sup>
                        <xref ref-type="bibr" rid="ref51">53</xref>
                    </sup> Ha 
                    <italic toggle="yes">et al.</italic>, also showed that LRG can differentiate RA patients from normal controls as serum LRG concentrations were significantly increased in patients from the RA group compared with patients in the control group.
                    <sup>
                        <xref ref-type="bibr" rid="ref52">54</xref>
                    </sup> LRG stimulation is influenced by pro-inflammatory cytokines, one of which is IL-6, an inflammatory cytokine that is critically involved in the pathogenesis of RA and significantly correlated with serum LRG levels.
                    <sup>
                        <xref ref-type="bibr" rid="ref53">55</xref>
                    </sup> Serum and synovial IL-6 levels are elevated in RA patients and are associated with disease activity.
                    <sup>
                        <xref ref-type="bibr" rid="ref54">56</xref>
                    </sup> Previous study conducted by Madhok 
                    <italic toggle="yes">et al.</italic>, showed that RA patients had higher levels of IL-6 (55 (28&#x2013;139) IU/mL) compared with the control group (10 (7&#x2013;12) IU/mL).
                    <sup>
                        <xref ref-type="bibr" rid="ref55">57</xref>
                    </sup>
                </p>
            </sec>
            <sec id="sec12">
                <title>Leucine-rich alpha-2 glycoprotein levels in spondyloarthritis</title>
                <p>Increased LRG levels were seen in 84.6% of subjects with SpA, with a median of 68.67 (33.15&#x2013;115.18) &#x03bc;g/ml. Nakajima 
                    <italic toggle="yes">et al.</italic>, previously reported that LRG levels were increased in patients with PsA (51.1 &#x00b1; 32.9 &#x03bc;g/mL) and psoriasis vulgaris (37.8 &#x00b1; 25.1 &#x03bc;g/mL) compared with controls (25.5 &#x00b1; 11.5 &#x03bc;g/mL).
                    <sup>
                        <xref ref-type="bibr" rid="ref23">23</xref>
                    </sup> A multicenter retrospective observational study showed that serum levels of IL-6 are elevated in AS and PsA subjects.
                    <sup>
                        <xref ref-type="bibr" rid="ref36">38</xref>
                    </sup> A previous study also reported that the mean IL-6 level was significantly higher in AS subjects compared with controls.
                    <sup>
                        <xref ref-type="bibr" rid="ref36">38</xref>
                    </sup> The highest median LRG levels in SpA subjects were found in the PsA subset in the present study.</p>
            </sec>
            <sec id="sec13">
                <title>Differences in levels of leucine-rich alpha-2 glycoprotein in rheumatoid arthritis and spondyloarthritis</title>
                <p>This study found no significant difference between LRG levels in subjects with RA and SpA. This result is different from a previous study by Lee 
                    <italic toggle="yes">et al.</italic>, LRG was also previously identified as a protein that can differentiate RA from PsA as shown by the significantly increased LRG levels in MRM analysis of patients with RA.
                    <sup>
                        <xref ref-type="bibr" rid="ref58">58</xref>
                    </sup> In another study of 32 synovial fluid samples from RA patients and 24 synovial fluid controls, it was found that LRG in RA synovial fluid and SpA correlated significantly with synovial fluid circulating free DNA (cfDNA), and it was known that LRG was closely related to plasma CRP.
                    <sup>
                        <xref ref-type="bibr" rid="ref59">59</xref>
                    </sup>
                </p>
                <p>The insignificant difference in this study may be due to other factors affecting LRG levels, including disease onset and treatment received. However, the effects of DMARD treatment on LRG levels in RA and SpA subjects have not yet been studied. Old onset subjects predominated this study. Disease onset is related to IL-6 concentration. IL-6, a known precursor of LRG, increases in both mild and severe inflammatory conditions. Higher LRG levels in subjects with new-onset may be related to IL-6 expression in the early stages of the disease, as suggested in a study by Ferraccioli 
                    <italic toggle="yes">et al.</italic>, which showed that IL-6 is a pro-inflammatory cytokine that is expressed in the early stages of the disease and plays a role in pathogenesis.
                    <sup>
                        <xref ref-type="bibr" rid="ref57">37</xref>
                    </sup> Expression of IL-6 in sacroiliac joint biopsies of AS patients is also associated with new disease onset.
                    <sup>
                        <xref ref-type="bibr" rid="ref36">38</xref>
                    </sup> Besides IL-6 activity, disease onset is also related to the patient's initiation of the treatment regimen. Old onset patients in the present study were defined as patients who had been diagnosed before the time of sampling and had received DMARD. Studies have shown that RA subjects receiving DMARD therapy have decreased serum concentrations of IL-6, a known precursor for LRG formation.
                    <sup>
                        <xref ref-type="bibr" rid="ref60">60</xref>
                    </sup> Most of the research subjects also received DMARD treatment in the form of sulfasalazine; from the results of previous studies, it was known that sulfasalazine caused a decrease in LRG levels in four female albino rats suffering from ulcerative colitis.
                    <sup>
                        <xref ref-type="bibr" rid="ref49">51</xref>
                    </sup> The effect on subjects with SpA and RA is still unknown.</p>
                <p>Because this study initially did not consider the level of disease activity, there was a possibility for the patients&#x2019; disease activity to be distributed unevenly. The results of this study found differences in the predominant disease activity between the two groups, wherein the RA group was predominated by moderate disease activity, while the SpA group was predominated by high to very high disease activity. The insignificant difference in LRG levels between the two groups in this study may be due to this distribution of disease activity. The difference in LRG levels between RA and SpA subjects may be more apparent if the disease activity between these two groups were controlled. A previous study conducted by Ha 
                    <italic toggle="yes">et al.</italic>, only compared LRG levels between active and inactive RA patients, where serum LRG concentrations were found to be significantly higher in patients with active RA compared with patients with RA in remission.
                    <sup>
                        <xref ref-type="bibr" rid="ref52">54</xref>
                    </sup> No previous study has compared LRG levels in moderate and high disease activity; the said study did not distinguish between disease activity groups. Meanwhile, we found different levels of LRG in the moderate and high to very high activity groups.</p>
            </sec>
            <sec id="sec14">
                <title>Leucine-rich alpha-2 glycoprotein levels in rheumatoid arthritis and spondyloarthritis subjects with increased c-reactive protein levels</title>
                <p>Median LRG levels based on increased CRP levels showed higher results in RA subjects than in SpA. The Mann-Whitney test results showed no significant difference in LRG levels in RA and SpA subjects with increased CRP levels. Previous studies have stated that LRG is correlated with CRP levels, as such a positive correlation between the two variables were expected.
                    <sup>
                        <xref ref-type="bibr" rid="ref53">55</xref>
                    </sup> Future research should confirm this finding.</p>
            </sec>
            <sec id="sec15">
                <title>Research strengths and limitations</title>
                <p>To the knowledge of the researchers, this is the first study to compare LRG levels of patients with RA and generalized SpA. The limitation of this study was the different predominant disease activity in the two groups. Future studies with a larger subject population along with control of DMARD status and disease activity is warranted.</p>
            </sec>
        </sec>
        <sec id="sec16" sec-type="conclusions">
            <title>Conclusions</title>
            <p>The median LRG levels of the RA and SpA subjects were 77.03 (27.16&#x2013;107.73) &#x03bc;g/dL and 68.67 (33.15&#x2013;115.18) &#x03bc;g/dL, respectively. There was no significant difference in LRG levels between RA and SpA subjects. The role of LRG in the diagnosis of RA and SpA remains to be determined in future studies.</p>
        </sec>
    </body>
    <back>
        <sec id="sec19" sec-type="data-availability">
            <title>Data availability</title>
            <sec id="sec20">
                <title>Underlying data</title>
                <p>Mendeley Data: Underlying data for &#x2018;Serum Leucine-Rich Alpha-2 Glycoprotein Levels in Rheumatoid Arthritis and Spondyloarthritis: A Promising Biomarker&#x2019;. 
                    <ext-link ext-link-type="uri" xlink:href="https://www.doi.org/10.17632/xp52nbs8r3.1">https://www.doi.org/10.17632/xp52nbs8r3.1</ext-link>.
                    <sup>

                        <xref ref-type="bibr" rid="ref24">24</xref>
</sup>
                </p>
                <p>The project contains the following underlying data:
                    <list list-type="bullet">
                        <list-item>
                            <label>-</label>
                            <p>Data file 1: Dataset of the study subjects.xlsx</p>
                        </list-item>
                        <list-item>
                            <label>-</label>
                            <p>Supplementary 1: Flow diagram of subject inclusion.docx</p>
                        </list-item>
                        <list-item>
                            <label>-</label>
                            <p>Supplementary 2: Determination of sample size.docx</p>
                        </list-item>
                        <list-item>
                            <label>-</label>
                            <p>Supplementary 3: STROBE Checklist.docx</p>
                        </list-item>
                    </list>
                </p>
                <p>Data are available under the terms of the 
                    <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International license</ext-link> (CC-BY 4.0)</p>
            </sec>
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                        <given-names>Senem</given-names>
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                    <label>1</label>Rheumatology Department, Erciyes University, Kayseri, Turkey</aff>
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            <author-notes>
                <fn fn-type="conflict">
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                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
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            <pub-date pub-type="epub">
                <day>27</day>
                <month>11</month>
                <year>2023</year>
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            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2023 Sas S</copyright-statement>
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            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve-with-reservations</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>A well-written and designed study. There are some problems. The authors must explain:</p>
            <p> </p>
            <p> The study group is too small.</p>
            <p> </p>
            <p> It is important to standardize the demographic data such as disease duration' and age Did the authors mention this? Also why healthy subjects did not participate in the study?&#x00a0; &#x00a0;Also, pregnant patients have participated in the study. A professional statistical consultant is needed to analyze.&#x00a0;</p>
            <p> </p>
            <p> Logistic regression analysis may be needed.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>I cannot comment. A qualified statistician is required.</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Yes</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Yes</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Partly</p>
            <p>Reviewer Expertise:</p>
            <p>Rheumatology</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.</p>
        </body>
    </sub-article>
</article>
