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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2024.1404828</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Immunology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Prognostic significance of natural killer cell depletion in predicting progressive fibrosing interstitial lung disease in idiopathic inflammatory myopathies</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Shao</surname>
<given-names>Chenyi</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
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<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Xia</surname>
<given-names>Nana</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
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<contrib contrib-type="author">
<name>
<surname>Zhen</surname>
<given-names>Yan</given-names>
</name>
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<sup>1</sup>
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<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Xueliang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Yan</surname>
<given-names>Ninghui</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Guo</surname>
<given-names>Qiang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
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<xref ref-type="author-notes" rid="fn004">
<sup>&#x2021;</sup>
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<aff id="aff1">
<sup>1</sup>
<institution>Department of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine</institution>, <addr-line>Shanghai</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Jiading Branch, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine</institution>, <addr-line>Shanghai</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Ciro Romano, University of Campania Luigi Vanvitelli, Italy</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Takahisa Gono, Nippon Medical School, Japan</p>
<p>Mayra Mejia, Instituto Nacional de Enfermedades Respiratorias, Mexico</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Qiang Guo, <email xlink:href="mailto:bluedescent@126.com">bluedescent@126.com</email>
</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work and share first authorship</p>
</fn>
<fn fn-type="other" id="fn004">
<p>&#x2021;ORCID: Qiang Guo, <uri xlink:href="https://orcid.org/0000-0002-0605-7804">orcid.org/0000-0002-0605-7804</uri>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>30</day>
<month>04</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>15</volume>
<elocation-id>1404828</elocation-id>
<history>
<date date-type="received">
<day>21</day>
<month>03</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>12</day>
<month>04</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Shao, Xia, Zhen, Zhang, Yan and Guo</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Shao, Xia, Zhen, Zhang, Yan and Guo</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Objectives</title>
<p>Interstitial lung disease (ILD) is one of the common extramuscular involvement in idiopathic inflammatory myopathies (IIMs) (1). Several patients develop a progressive fibrosing ILD (PF-ILD) despite conventional treatment, resulting in a progressive deterioration in their quality of life (2). Here, we investigated the clinical and immune characteristics of IIM-ILD and risk factors for PF-ILD in IIM, mainly in anti-melanoma differentiation-associated protein 5 (anti-MDA5<sup>+</sup>) dermatomyositis (DM) and anti-synthetase syndrome (ASS).</p>
</sec>
<sec>
<title>Methods</title>
<p>Here, a prospective cohort of 156 patients with IIM-ILD were included in the longitudinal analysis and divided into the PF-ILD (n=65) and non-PF-ILD (n=91) groups, and their baseline clinical characteristics were compared. Univariate and multivariate Cox analyses were performed to identify the variables significantly associated with pulmonary fibrosis progression in the total cohort, then anti-MDA5<sup>+</sup> DM and ASS groups separately.</p>
</sec>
<sec>
<title>Results</title>
<p>Peripheral blood lymphocyte counts, including T, B, and NK cell counts, were significantly lower in the PF-ILD group than in the non-PF-ILD group. This characteristic is also present in the comparison between patients with anti-MDA5<sup>+</sup> DM and ASS. The multivariate Cox regression analysis revealed that age &gt; 43.5 years [HR: 7.653 (95% CI: 2.005-29.204), p = 0.003], absolute NK cell count &lt; 148 cells/&#x3bc;L [HR: 6.277 (95% CI: 1.572-25.067), p = 0.009] and absolute Th cell count &lt; 533.2 cells/&#x3bc;L [HR: 4.703 (95% CI: 1.014-21.821), p = 0.048] were independent predictors of progressive fibrosing during 1-year follow-up for patients with anti-MDA5<sup>+</sup> DM, while absolute count of NK cells &lt; 303.3 cells/&#xb5;L [HR: 19.962 (95% CI: 3.108-128.223), p = 0.002], absolute count of lymphocytes &lt; 1.545&#xd7;10<sup>9</sup>/L [HR: 9.684 (95% CI: 1.063-88.186), p = 0.044], and ferritin &gt; 259.45 ng/mL [HR: 6 (95% CI: 1.116-32.256), p = 0.037] were independent predictors of PF-ILD for patients with ASS.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>Patients with anti-MDA5<sup>+</sup> DM and ASS have independent risk factors for PF-ILD. Lymphocyte depletion (particularly NK cells) was significantly associated with PF-ILD within 1-year of follow-up for IIM-ILD</p>
</sec>
</abstract>
<kwd-group>
<kwd>idiopathic inflammatory myopathy</kwd>
<kwd>progressive fibrosing interstitial lung disease</kwd>
<kwd>lymphocyte</kwd>
<kwd>natural killer cell</kwd>
<kwd>risk factor</kwd>
</kwd-group>
<contract-sponsor id="cn001">Renji Hospital<named-content content-type="fundref-id">10.13039/501100020737</named-content>
</contract-sponsor>
<counts>
<fig-count count="4"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="58"/>
<page-count count="13"/>
<word-count count="6381"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Autoimmune and Autoinflammatory Disorders : Autoimmune Disorders</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Idiopathic inflammatory myopathies (IIMs), a group of autoimmune systemic diseases with diverse clinical manifestations, can affect multiple parts of the body, including the skin, muscles, joints, and lungs (<xref ref-type="bibr" rid="B1">1</xref>); however, the lung is one of the most commonly involved extramuscular organs, with the reported prevalence ranging between 20% and 86% (<xref ref-type="bibr" rid="B2">2</xref>), associated with poor prognosis and increased mortality (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B4">4</xref>). Most dermatomyositis (DM) (90%) and anti-synthetase syndrome (ASS) (70%&#x2013;85%) cases with myositis-specific autoantibodies (MSAs) are usually associated with lung injury (<xref ref-type="bibr" rid="B5">5</xref>). Interstitial lung disease (ILD) is one of the most common pulmonary manifestations primarily characterized by inflammation and fibrosis of the lung tissue, which can occur before, after, or concurrently with cutaneous or muscular manifestations but typically occurs early in the disease course (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B7">7</xref>). Despite conventional treatment targeting the underlying condition, a subset of patients with ILD continue to experience a progressive fibrotic phenotype characterized by inexorable deterioration of lung function, respiratory symptoms, signs on high-resolution computed tomography (HRCT), as well as higher early mortality rate, which can be described as progressive fibrosing interstitial lung disease (PF-ILD) (<xref ref-type="bibr" rid="B8">8</xref>&#x2013;<xref ref-type="bibr" rid="B10">10</xref>). The introduction of the PF-ILD concept was associated with the clinical trial of an antifibrotic drug (<xref ref-type="bibr" rid="B11">11</xref>), and was progressively integrated into subsequent research, which suggested that individuals with ILDs other than IPF, including those with IIM-ILD and other connective tissue disease associated ILD (CTD-ILD) (<xref ref-type="bibr" rid="B12">12</xref>&#x2013;<xref ref-type="bibr" rid="B14">14</xref>), are also at risk of developing PF-ILD. Although various clinical drug trials (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B15">15</xref>) and experts (<xref ref-type="bibr" rid="B16">16</xref>) have proposed different criteria, the assessment predominantly relies on changes in lung function, radiological findings, and clinical symptomatology. The prevalence of PF-ILD in patients with CTDs is challenging to ascertain, which has been reported a range of 18%&#x2013;44% in current studies with limited scope at present, including the groups of IIMs, rheumatoid arthritis, systemic sclerosis (SSc), and other CTDs (<xref ref-type="bibr" rid="B17">17</xref>&#x2013;<xref ref-type="bibr" rid="B20">20</xref>). Further subdivision of IIMs according to few studies revealed that about 50% of patients with anti-MDA5<sup>+</sup> DM developed PF-ILD (<xref ref-type="bibr" rid="B20">20</xref>), whereas 35% of those with ASS developed PF-ILD (<xref ref-type="bibr" rid="B12">12</xref>). As the prognosis of patients with PF-ILD is worse than that of those with stable and reversible ILD, early identification of IIM with comorbid progressive pulmonary fibrosis is crucial for clinical management and improving prognosis (<xref ref-type="bibr" rid="B7">7</xref>).</p>
<p>Despite generalizable risk factors, various cohort studies have also found predictive risk factors for progressive fibrosis specific to autoimmune ILDs. It has been proposed that patients with CTD with diabetes mellitus, steroid treatment, and a pattern of fibrosis on HRCT have a higher risk of developing PF-ILD in 2-year follow-up (<xref ref-type="bibr" rid="B21">21</xref>). Other laboratory and clinical indicators identified to predict rapid progression or poor prognosis include serum ferritin, C-reactive protein (CRP), lactate dehydrogenase (LDH), and Krebs Von den Lungen-6 (KL-6), as well as anti-melanoma differentiation-associated protein 5 (anti-MDA5) antibody titres, anti-Ro-52 levels, white blood cell (WBC) count, disease duration, fever, and age, although these studies mainly focused on patients with DM, particularly those with anti-MDA5<sup>+</sup> (<xref ref-type="bibr" rid="B22">22</xref>&#x2013;<xref ref-type="bibr" rid="B24">24</xref>).</p>
<p>Previous studies have found numerical or functional dysregulation of circulating natural killer (NK) cell plays a pivotal role in IIM-ILD (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>). One of our recent studies discovered that an amyopathic dermatomyositis-associated ILD group with a cluster of activated CD45RA<sup>+</sup>HLA-DR<sup>+</sup>CD8<sup>+</sup> T cells and a reduced proportion of CD56<sup>dim</sup> NK cells showed a high prevalence of rapidly progressive ILD and increased mortality rates (<xref ref-type="bibr" rid="B27">27</xref>), indicating that peripheral lymphocyte immunological profiles have predictable potential for the development of ILD fibrotic progression. Lin et&#xa0;al. also elucidated that in anti-MDA5<sup>+</sup> DM patients, the significantly reduced levels and an inhibitory phenotype of peripheral NK cells are correlated with heightened disease activity and adverse prognosis (<xref ref-type="bibr" rid="B28">28</xref>).</p>
<p>Given the important role of NK cells in IIM-ILD, we aimed to explore the prognostic value of lymphocyte subsets, particularly NK cells, on ILD progression in a broader range of patients with IIM. Early identification of patients with PF-ILD is essential for clinical management. Therefore, we investigated the peripheral blood immunological characteristics and related variables in a group of patients with IIM, mainly containing two subgroups, anti-MDA5<sup>+</sup> DM and ASS, to assess the risk of PF-ILD by exploring new immunological indices. This will help to identify early high-risk populations with fibrosing progression of ILD, guide more precise individualized therapy, and provide new insights for clinical treatment and prognostic assessment.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="s2_1">
<title>Study design and patient selection</title>
<p>For this prospective cohort study, 185 patients with definite IIM-ILD were enrolled and followed up for 1 year between January 2020 and December 2022 at the Department of Rheumatology of the Renji Hospital of Shanghai Jiao Tong University. This study was conducted in accordance with the Declaration of Helsinki and approved by the Research Ethics Committee of Renji Hospital (ID:2013-126). All participants had provided informed consent for study enrolment and blood collection.</p>
<p>All participants fulfilled the classification criteria of the European League Against Rheumatism/American College of Rheumatology (<xref ref-type="bibr" rid="B29">29</xref>) and the 239th European Neuromuscular Centre International Workshop (<xref ref-type="bibr" rid="B30">30</xref>). The diagnosis of ILD is performed by radiologists and rheumatologists based on HRCT imaging (radiological signs of &gt;10% lung affected, including ground glass, subpleural reticulation formation, traction bronchiectasis, and honeycombing) (<xref ref-type="bibr" rid="B31">31</xref>). Those with infection, cancer, other CTDs, and other chronic lung diseases were excluded from this study.</p>
<p>The diagnostic criteria for PF-ILD were based on the 2022 American Thoracic Society/European Respiratory Society/Japanese Respiratory Society/Latin American Thoracic Society (ATS/ERS/JRS/ALAT) guidelines (<xref ref-type="bibr" rid="B32">32</xref>). The group of PF-ILD was determined if at least two of the following three characteristics were met within 1 year (12 &#xb1; 2 months) of follow-up despite management: worsening of respiratory symptoms; functional deterioration, defined as a &#x2265;5% absolute decrease in the percentage of predicted forced vital capacity (FVC% pred) or a &#x2265;10% absolute decrease in predicted diffusion capacity for carbon monoxide (DLCO% pred); radiological deterioration, determined by an increase in traction bronchiectasis, reticular abnormalities, honeycombing, new ground-glass opacities, or increased lobar volume loss.</p>
</sec>
<sec id="s2_2">
<title>Data collection</title>
<p>At baseline, all patients underwent symptom assessment, pulmonary function tests (PFTs), and HRCT scans. Simultaneously, peripheral blood samples were collected for lymphocyte subset tests and other serological marker evaluations. The results of these initial analyses did not influence decisions regarding individual treatment plans. Demographic and general information, including age at onset, sex, disease duration, clinical symptoms, and stable treatment regimens at baseline (glucocorticoids, intravenous immunoglobulin, antifibrotic agents, and immunosuppressants), were recorded. The results of the PFTs, including FVC% pred, forced expiratory volume in the first second (FEV1% pred), and DLCO% pred, were collected at baseline and follow-up endpoint. According to the radiologic characteristics of HRCT, histologic patterns, such as usual interstitial pneumonia (UIP), nonspecific interstitial pneumonia (NSIP), and organizing pneumonia (OP), were recognized (<xref ref-type="bibr" rid="B31">31</xref>). Concurrently, lesions observed radiologically were classified into inflammatory and fibrotic patterns (<xref ref-type="bibr" rid="B33">33</xref>).</p>
<p>Myositis-specific autoantibodies (MSAs), myositis-associated autoantibodies (MAAs), neutrophil-to-lymphocyte ratio (NLR), ferritin, LDH, creatine kinase (CK), KL-6, WBC count, CRP, erythrocyte sedimentation rate (ESR), alanine aminotransferase (ALT), and aspartate aminotransferase (AST) were evaluated by standardized methods in the clinical laboratory. MSAs and MAAs were tested using commercial line blots at baseline, including MDA5, aminoacyl-tRNA synthetase (ARS, including Jo-1, PL-7, PL-12, EJ, and OJ), Mi-2, TIF&#x3b3;, NXP2, SAE, SRP, Ku, PM-Scl100/75, and Ro-52 (<xref ref-type="bibr" rid="B34">34</xref>). NLR was calculated using automated analyzers as follows: NLR&#x2009;=&#x2009;absolute neutrophil count/absolute lymphocyte count.</p>
<p>Lymphocyte subset tests was performed using flow cytometry and analyzed by the hospital&#x2019;s clinical laboratory. Fresh blood samples were collected in anticoagulant tubes and delivered to our clinical laboratory within 2 hours at room temperature. The BD FACSCanto II flow cytometer (BD Biosciences, USA) was used to detect the proportions and absolute counts of lymphocyte subsets in peripheral blood, including total lymphocytes, CD19<sup>+</sup> B cells, CD3<sup>+</sup> T cells, CD3<sup>+</sup>CD4<sup>+</sup> T cells, CD3<sup>+</sup>CD8<sup>+</sup> T cells, and CD3<sup>&#x2212;</sup>CD16<sup>+</sup>CD56<sup>+</sup> NK cells.</p>
</sec>
<sec id="s2_3">
<title>Statistical analysis</title>
<p>Statistical analysis and plotting were performed using R software (version 4.3.0), IBM SPSS Statistics for Windows, version 27.0 (IBM Corp., Armonk, N.Y., USA), and GraphPad Prism (version 9.3). Continuous variables are expressed as the mean with standard deviation or median with interquartile range according to data distribution, while categorical data are presented as frequencies with percentages. Comparisons between groups for continuous data were performed using the Student&#x2019;s t-test or Mann&#x2013;Whitney test. Categorical variables were compared using the chi-square or Fisher&#x2019;s exact test, as appropriate. The PF-ILD optimal cut-off value was determined using the area under the curve (AUC) and Youden Index, while risk factors for PF-ILD were determined using univariate and multivariate Cox survival analyses. Biologically plausible clinical factors (p&lt;0.05) in the univariate analysis were included in the multivariable analysis and adjusted for sex, age, and other confounders, presented as forest plots, and quantified using hazard ratio (HR) and 95% confidence interval (CI). Kaplan&#x2013;Meier analysis was used to visualize the cumulative event-free survival rate. Statistical significance was set at p&lt;0.05.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Cohort characteristics</title>
<p>After excluding those 29 patients who lost HRCT or PFTs follow-up, 156/185 patients with IIM-ILD patients who had undergone both PFTs and HRCT tests at baseline and 1-year follow-up endpoint were included in the final longitudinal cohort (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S1</bold>
</xref>). The cohort showed a mean age of 53.19 years. Among them, 45 (28.8%) were male. During the follow-up, 65 (41.7%) patients met the deterioration criteria for PF-ILD, while 91 (59.3%) who had no ILD progression were classified as the non-PF-ILD group. Regarding disease subtypes, 60 (38.5%) patients had ASS, 84 (53.8%) had anti-MDA5<sup>+</sup>DM, and 12 (7.7%) had other positive antibodies, including Mi-2, TIF&#x3b3;, NXP2, SAE, PM-Scl75. The predominant HRCT pattern was NSIP, observed in 131 (84.0%) patients, while 22 (14.1%) had UIP, and only 3 (1.9%) had OP. All participants were treated with glucocorticoids (GC) at baseline, with a median maximum dose of 40 mg/day. In addition to GC, a significant proportion of patients (92.3%) received immunosuppressants or biologics. Intravenous immunoglobulin (IVIG) was administered to 8.3% of the participants. Furthermore, 17.9% of the patients received antifibrotic therapy.</p>
</sec>
<sec id="s3_2">
<title>Baseline characteristics of IIM patients by median NK cell count</title>
<p>The median baseline absolute NK cell count was 173.5 cells/&#xb5;L (IQR 87.97&#x2013;318.85). Patients with absolute NK cell counts below the median level at baseline had a relatively shorter disease course and a higher incidence of PF-ILD. Additionally, there were more anti-MDA5<sup>+</sup>DM patients in this group. These patients also exhibited a decrease in other lymphocyte subsets, including B cells, T cells, Th cells, Ts cells, and WBC; had elevated levels of ALT, AST, CRP, ESR, NLR, and ferritin compared to patients with NK cell counts above the median. Patients with low NK cell counts more frequently presented with fever, heliotrope rash, and Gottron&#x2019;s sign. They also required higher doses of glucocorticoids and more frequent use of immunosuppressants, particularly tofacitinib (TOF). In contrast, patients with high NK cell counts were more likely to be treated with methotrexate (MTX) and rituximab (RTX) (all p&lt;0.05) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S1</bold>
</xref>).</p>
</sec>
<sec id="s3_3">
<title>Baseline characteristics in total cohort: PF-ILD vs non-PF-ILD</title>
<p>In the total cohort, the absolute number of peripheral blood lymphocytes at baseline, including B, T, Th, Ts, and NK cells decreased significantly in the PF-ILD group. The median absolute number of NK cells was also significantly lower in the PF-ILD group in both anti-MDA5<sup>+</sup>DM [74 (IQR 56.6-103.8) vs 204 (94.9-297.75); P &lt; 0.001] and ASS [239.1 (IQR 141.5-288.75) vs 309 (174.6-436); P &lt; 0.001], as were the levels of T cells and Th cells. The level of B cells and Ts cells was decreased in anti-MDA5<sup>+</sup>DM PF-ILD group, but not in ASS PF-ILD group (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Comparison of lymphocyte counts between PF-ILD and non-PF-ILD groups.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-15-1404828-g001.tif"/>
</fig>
<p>The results of comparisons of baseline parameters between the PF-ILD and non-PF-ILD groups in total follow-up cohort are summarized in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S2</bold>
</xref>. Patients with PF-ILD had no statistically significant differences in FVC, FEV1, and DLCO at baseline (p&gt;0.05) but had significantly lower FVC, FEV1, and DLCO at the endpoint than those without PF-ILD (p&lt;0.001). The absolute number of peripheral blood lymphocytes at baseline, including B, T, Th, Ts, and NK cells and WBCs, decreased significantly in the PF-ILD group; however, the NLR was significantly elevated. Additionally, the PF-ILD group showed significantly higher ferritin, ALT, and AST levels than the control group (all p&lt;0.05). However, no statistical difference was found in baseline clinical symptoms or baseline treatment (p&gt;0.05).</p>
<p>
<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S3</bold>
</xref> presents the results of univariate and multivariable Cox regression analyses for various factors potentially associated with PF-ILD in the total cohort. In the univariate Cox regression analysis, age, disease course, and several peripheral lymphocyte subset parameters, including T cells, Th cells, Ts cells, and NK cells, were significantly associated with the progression of pulmonary fibrosis in IIM-ILD patients. However, in the multivariable Cox regression analysis, after adjusting for age, sex, and other covariates, only the absolute NK cell count remained a strong independent predictor of pulmonary fibrosis progression within one year [HR: 0.995 (95% CI: 0.992&#x2013;0.997), p &lt; 0.001].</p>
</sec>
<sec id="s3_4">
<title>The differences between patients with anti-MDA5<sup>+</sup> DM and ASS</title>
<p>In our follow-up cohort, most patients had anti-MDA5<sup>+</sup> DM (n=84, 53.8%) and ASS (n=60, 38.5%), with some differences in disease characteristics between the two subtypes. Comparing the characteristics of these two IIM subgroups (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>), patients with anti-MDA5<sup>+</sup> DM had PF-ILD more frequently than those with ASS (48.8% vs 31.7%, p=0.04). The analysis of HRCT patterns revealed that NSIP predominated in both groups, being present in 75% of the ASS cohort and 89.3% of the anti-MDA5<sup>+</sup>DM group, as well as a higher proportion of UIP observed in ASS. When analyzing the inflammatory or fibrotic patterns, the proportion of fibrotic patterns was significantly lower in anti-MDA5<sup>+</sup>DM, suggesting a predominance of inflammatory patterns in this group. Patients with anti-MDA5<sup>+</sup> DM had a lower average onset age and shorter times from onset to diagnosis than those with ASS. A significantly lower number of peripheral blood lymphocytes, including B, T, Th, Ts, and NK cells and total lymphocytes, were observed in anti-MDA5<sup>+</sup> DM, as well as WBC and neutrophils. Moreover, we found that anti-MDA5<sup>+</sup> DM had higher ferritin, ALT, AST, and ESR levels, as well as an increased incidence of heliotrope rash and Gottron sign, but lower CK and CRP. All patients in the cohort were treated with glucocorticoids, although those with anti-MDA5<sup>+</sup> had been prescribed higher dosages of glucocorticoids. Patients with anti-MDA5<sup>+</sup> DM were treated with a higher frequency of tacrolimus and tofacitinib, while those with ASS were treated with methotrexate, cyclophosphamide, and rituximab (all p&lt;0.05).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>The differences between anti-MDA5<sup>+</sup> DM and ASS patients.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">
</th>
<th valign="bottom" align="left">ASS (n=60)</th>
<th valign="bottom" align="left">anti-MDA5<sup>+</sup> DM (n=84)</th>
<th valign="middle" align="left">P value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">age, mean (SD), years</td>
<td valign="bottom" align="left">55.32 (11.34)</td>
<td valign="bottom" align="left">50.77 (10.36)</td>
<td valign="bottom" align="left">0.015*</td>
</tr>
<tr>
<td valign="middle" align="left">Male, n (%)</td>
<td valign="bottom" align="left">17 (28.3)</td>
<td valign="bottom" align="left">25 (29.8)</td>
<td valign="bottom" align="left">0.852</td>
</tr>
<tr>
<td valign="middle" align="left">Course, month</td>
<td valign="bottom" align="left">6.5 (3-16.25)</td>
<td valign="bottom" align="left">4 (1.75-8.25)</td>
<td valign="bottom" align="left">0.042*</td>
</tr>
<tr>
<td valign="top" align="left">Follow-up duration, month</td>
<td valign="top" align="left">10 (10-11.25)</td>
<td valign="top" align="left">10 (6-11)</td>
<td valign="top" align="left">0.091*</td>
</tr>
<tr>
<td valign="bottom" align="left">PF-ILD, n (%)</td>
<td valign="bottom" align="left">19 (31.7)</td>
<td valign="bottom" align="left">41 (48.8)</td>
<td valign="bottom" align="left">0.040*</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>HRCT pattern, %</bold>
</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left">0.042*</td>
</tr>
<tr>
<td valign="middle" align="left">NSIP</td>
<td valign="bottom" align="left">45 (75.0)</td>
<td valign="bottom" align="left">75 (89.3)</td>
<td valign="bottom" align="left">
</td>
</tr>
<tr>
<td valign="middle" align="left">UIP</td>
<td valign="bottom" align="left">14 (23.3)</td>
<td valign="bottom" align="left">7 (8.3)</td>
<td valign="bottom" align="left">
</td>
</tr>
<tr>
<td valign="middle" align="left">OP</td>
<td valign="bottom" align="left">1 (1.7)</td>
<td valign="bottom" align="left">2 (2.4)</td>
<td valign="bottom" align="left">
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Fibrotic pattern, n (%)</bold>
</td>
<td valign="top" align="left">29 (48.3)</td>
<td valign="top" align="left">24 (28.6)</td>
<td valign="top" align="left">0.038*</td>
</tr>
<tr>
<th valign="middle" colspan="4" align="left">PFT</th>
</tr>
<tr>
<td valign="middle" align="left">FVC % pred at baseline, mean (SD)</td>
<td valign="bottom" align="left">64.81 (15.5)</td>
<td valign="bottom" align="left">71.47 (19.26)</td>
<td valign="bottom" align="left">0.023*</td>
</tr>
<tr>
<td valign="middle" align="left">FEV1% pred at baseline, mean (SD)</td>
<td valign="bottom" align="left">68.31 (15.44)</td>
<td valign="bottom" align="left">72.84 (18.09)</td>
<td valign="bottom" align="left">0.109</td>
</tr>
<tr>
<td valign="middle" align="left">DLCO% pred at baseline mean (SD)</td>
<td valign="bottom" align="left">40.29 (16.11)</td>
<td valign="bottom" align="left">48.28 (19.07)</td>
<td valign="bottom" align="left">0.007**</td>
</tr>
<tr>
<th valign="bottom" colspan="4" align="left">Peripheral lymphocyte subset test</th>
</tr>
<tr>
<td valign="bottom" align="left">B cells, %</td>
<td valign="bottom" align="left">9 (1.75-19.4)</td>
<td valign="bottom" align="left">15.62 (8.51-25.59)</td>
<td valign="bottom" align="left">&lt; 0.001***</td>
</tr>
<tr>
<td valign="bottom" align="left">T cells, %</td>
<td valign="bottom" align="left">67.45 (59.43-74.51)</td>
<td valign="bottom" align="left">68.76 (61-76.28)</td>
<td valign="bottom" align="left">0.711</td>
</tr>
<tr>
<td valign="bottom" align="left">Th cells, mean (SD), %</td>
<td valign="bottom" align="left">35.26 (9.37)</td>
<td valign="bottom" align="left">38.76 (12.19)</td>
<td valign="bottom" align="left">0.053</td>
</tr>
<tr>
<td valign="bottom" align="left">Ts cells, %</td>
<td valign="bottom" align="left">28.05 (23-35.19)</td>
<td valign="bottom" align="left">24.29 (18-34.19)</td>
<td valign="bottom" align="left">0.103</td>
</tr>
<tr>
<td valign="bottom" align="left">CD4/CD8</td>
<td valign="bottom" align="left">1.22 (0.89-1.57)</td>
<td valign="bottom" align="left">1.56 (0.95-2.44)</td>
<td valign="bottom" align="left">0.032*</td>
</tr>
<tr>
<td valign="bottom" align="left">NK cells, %</td>
<td valign="bottom" align="left">17.15 (11-25.31)</td>
<td valign="bottom" align="left">10.7 (6.56-19.31)</td>
<td valign="bottom" align="left">&lt; 0.001***</td>
</tr>
<tr>
<td valign="bottom" align="left">B cells, cells/&#xb5;L</td>
<td valign="bottom" align="left">144.25 (24.5-282.32)</td>
<td valign="bottom" align="left">144.5 (86.8-259.72)</td>
<td valign="bottom" align="left">0.372</td>
</tr>
<tr>
<td valign="bottom" align="left">T cells, cells/&#xb5;L</td>
<td valign="bottom" align="left">1049.4 (704-1488.02)</td>
<td valign="bottom" align="left">739.5 (419.05-1123.25)</td>
<td valign="bottom" align="left">&lt; 0.001***</td>
</tr>
<tr>
<td valign="bottom" align="left">Th cells, cells/&#xb5;L</td>
<td valign="bottom" align="left">568.85 (356.45-842.38)</td>
<td valign="bottom" align="left">376.45 (243-608.32)</td>
<td valign="bottom" align="left">0.002**</td>
</tr>
<tr>
<td valign="bottom" align="left">Ts cells, cells/&#xb5;L</td>
<td valign="bottom" align="left">449.2 (291.45-581.6)</td>
<td valign="bottom" align="left">279.15 (132.4-506.95)</td>
<td valign="bottom" align="left">&lt; 0.001***</td>
</tr>
<tr>
<td valign="bottom" align="left">NK cells, cells/&#xb5;L</td>
<td valign="bottom" align="left">288.75 (168.76-369.58)</td>
<td valign="bottom" align="left">102.4 (62.93-209.25)</td>
<td valign="bottom" align="left">&lt; 0.001***</td>
</tr>
<tr>
<td valign="bottom" align="left">Lymphocytes, &#xd7;10<sup>9</sup>/L</td>
<td valign="bottom" align="left">1.57 (1.04-2.01)</td>
<td valign="bottom" align="left">0.95 (0.64-1.54)</td>
<td valign="bottom" align="left">&lt; 0.001***</td>
</tr>
<tr>
<td valign="bottom" align="left">WBC, &#xd7;10<sup>9</sup>/L</td>
<td valign="bottom" align="left">11.02 (8.59-13.24)</td>
<td valign="bottom" align="left">6.62 (5.02-8.37)</td>
<td valign="bottom" align="left">&lt; 0.001***</td>
</tr>
<tr>
<td valign="bottom" align="left">Neutrophils, &#xd7;10<sup>9</sup>/L</td>
<td valign="bottom" align="left">8.07 (6.19-11.05)</td>
<td valign="bottom" align="left">5.2 (3.47-6.28)</td>
<td valign="bottom" align="left">&lt; 0.001***</td>
</tr>
<tr>
<td valign="bottom" align="left">NLR</td>
<td valign="bottom" align="left">4.75 (3.4-9.08)</td>
<td valign="bottom" align="left">4.49 (3.21-8.47)</td>
<td valign="bottom" align="left">0.398</td>
</tr>
<tr>
<th valign="bottom" colspan="4" align="left">laboratory tests</th>
</tr>
<tr>
<td valign="middle" align="left">Ferritin, ng/mL</td>
<td valign="bottom" align="left">145 (71.53-406.4)</td>
<td valign="bottom" align="left">443.6 (77.35-905.42)</td>
<td valign="bottom" align="left">0.004**</td>
</tr>
<tr>
<td valign="middle" align="left">LDH, IU/L</td>
<td valign="bottom" align="left">252 (214.5-310.25)</td>
<td valign="bottom" align="left">271 (215-334.25)</td>
<td valign="bottom" align="left">0.235</td>
</tr>
<tr>
<td valign="middle" align="left">CK, IU/L</td>
<td valign="bottom" align="left">50.5 (38.25-135.25)</td>
<td valign="bottom" align="left">42.5 (30-60.25)</td>
<td valign="bottom" align="left">0.010*</td>
</tr>
<tr>
<td valign="middle" align="left">KL-6, IU/mL</td>
<td valign="bottom" align="left">1395 (749-2289.25)</td>
<td valign="bottom" align="left">1009 (631.5-2190.75)</td>
<td valign="bottom" align="left">0.451</td>
</tr>
<tr>
<td valign="middle" align="left">ALT, IU/L</td>
<td valign="bottom" align="left">30 (16-44)</td>
<td valign="bottom" align="left">37 (19-78.25)</td>
<td valign="bottom" align="left">0.046*</td>
</tr>
<tr>
<td valign="middle" align="left">AST, IU/L</td>
<td valign="bottom" align="left">25.5 (20-35.25)</td>
<td valign="bottom" align="left">33.5 (22-57.75)</td>
<td valign="bottom" align="left">0.003**</td>
</tr>
<tr>
<td valign="middle" align="left">CRP, mg/L</td>
<td valign="bottom" align="left">3.07 (1.04-9.55)</td>
<td valign="bottom" align="left">1.89 (0.5-3.15)</td>
<td valign="bottom" align="left">0.001**</td>
</tr>
<tr>
<td valign="middle" align="left">ESR, mm/h</td>
<td valign="bottom" align="left">12 (5-22.25)</td>
<td valign="bottom" align="left">18 (11-29.5)</td>
<td valign="bottom" align="left">0.003**</td>
</tr>
<tr>
<th valign="bottom" colspan="4" align="left">clinical manifestation, n (%)</th>
</tr>
<tr>
<td valign="middle" align="left">Fever</td>
<td valign="bottom" align="left">5 (8.3)</td>
<td valign="bottom" align="left">17 (20.2)</td>
<td valign="bottom" align="left">0.0502</td>
</tr>
<tr>
<td valign="middle" align="left">Cough</td>
<td valign="bottom" align="left">25 (41.7)</td>
<td valign="bottom" align="left">26 (31)</td>
<td valign="bottom" align="left">0.185</td>
</tr>
<tr>
<td valign="middle" align="left">Heliotrope rash</td>
<td valign="bottom" align="left">6 (10)</td>
<td valign="bottom" align="left">41 (48.8)</td>
<td valign="bottom" align="left">&lt; 0.001***</td>
</tr>
<tr>
<td valign="middle" align="left">Gottron sign</td>
<td valign="bottom" align="left">12 (20)</td>
<td valign="bottom" align="left">60 (71.4)</td>
<td valign="bottom" align="left">&lt; 0.001***</td>
</tr>
<tr>
<td valign="middle" align="left">Mechanism&#x2019;s hands</td>
<td valign="bottom" align="left">17 (28.3)</td>
<td valign="bottom" align="left">18 (21.4)</td>
<td valign="bottom" align="left">0.341</td>
</tr>
<tr>
<td valign="middle" align="left">Arthritis</td>
<td valign="bottom" align="left">8 (13.3)</td>
<td valign="bottom" align="left">22 (26.2)</td>
<td valign="bottom" align="left">0.061</td>
</tr>
<tr>
<th valign="bottom" colspan="4" align="left">Treatment</th>
</tr>
<tr>
<td valign="top" align="left">antifibrotics</td>
<td valign="bottom" align="left">10 (16.7)</td>
<td valign="bottom" align="left">17 (20.2)</td>
<td valign="bottom" align="left">0.588</td>
</tr>
<tr>
<td valign="middle" align="left">maximum GC dose, mg/day</td>
<td valign="bottom" align="left">40 (15-60)</td>
<td valign="bottom" align="left">50 (25-80)</td>
<td valign="bottom" align="left">0.025*</td>
</tr>
<tr>
<td valign="middle" align="left">IVIG, n (%)</td>
<td valign="bottom" align="left">4 (6.7)</td>
<td valign="bottom" align="left">8 (9.5)</td>
<td valign="bottom" align="left">0.541</td>
</tr>
<tr>
<td valign="middle" align="left">Immunosuppressants or biologics, n (%)</td>
<td valign="bottom" align="left">53 (88.3)</td>
<td valign="bottom" align="left">79 (94)</td>
<td valign="bottom" align="left">0.221</td>
</tr>
<tr>
<td valign="bottom" align="left">TAC</td>
<td valign="bottom" align="left">5 (8.3)</td>
<td valign="bottom" align="left">18 (21.4)</td>
<td valign="bottom" align="left">0.034*</td>
</tr>
<tr>
<td valign="bottom" align="left">CsA</td>
<td valign="bottom" align="left">3 (5)</td>
<td valign="bottom" align="left">0 (0)</td>
<td valign="bottom" align="left">0.139</td>
</tr>
<tr>
<td valign="bottom" align="left">MMF</td>
<td valign="bottom" align="left">3 (5)</td>
<td valign="bottom" align="left">0 (0)</td>
<td valign="bottom" align="left">0.139</td>
</tr>
<tr>
<td valign="bottom" align="left">CTX</td>
<td valign="bottom" align="left">8 (13.3)</td>
<td valign="bottom" align="left">1 (1.2)</td>
<td valign="bottom" align="left">0.009**</td>
</tr>
<tr>
<td valign="bottom" align="left">Agu</td>
<td valign="bottom" align="left">2 (3.3)</td>
<td valign="bottom" align="left">0 (0)</td>
<td valign="bottom" align="left">0.172</td>
</tr>
<tr>
<td valign="bottom" align="left">MTX</td>
<td valign="bottom" align="left">10 (16.7)</td>
<td valign="bottom" align="left">2 (2.4)</td>
<td valign="bottom" align="left">0.002**</td>
</tr>
<tr>
<td valign="bottom" align="left">TOF</td>
<td valign="bottom" align="left">14 (23.3)</td>
<td valign="bottom" align="left">72 (85.7)</td>
<td valign="bottom" align="left">&lt; 0.001***</td>
</tr>
<tr>
<td valign="bottom" align="left">Baricitinib</td>
<td valign="bottom" align="left">0 (0)</td>
<td valign="bottom" align="left">1 (1.2)</td>
<td valign="bottom" align="left">1</td>
</tr>
<tr>
<td valign="bottom" align="left">RTX</td>
<td valign="bottom" align="left">19 (31.7)</td>
<td valign="bottom" align="left">2 (2.4)</td>
<td valign="bottom" align="left">&lt; 0.001***</td>
</tr>
<tr>
<td valign="bottom" align="left">Tocilizumab</td>
<td valign="bottom" align="left">2 (3.3)</td>
<td valign="bottom" align="left">1 (1.2)</td>
<td valign="bottom" align="left">0.767</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Except where otherwise indicated, values are shown as the medians (interquartile range). *p &lt; 0.05; **p &lt; 0.01; ***p &lt; 0.001.</p>
</fn>
<fn>
<p>NSIP, nonspecific interstitial pneumonia, UIP, usual interstitial pneumonia, OP, organizing pneumonia; CK, creatine kinase; KL-6, Krebs von den Lungen-6; ALT, alanine transaminase; AST, aspartate transaminase; anti-ARS: anti-aminoacyl-tRNA synthetase; CRP, C-reactive protein; DM: dermatomyositis; ESR, erythrocyte sedimentation rate; GC, glucocorticoid; antifibrotics, including nintedanib and pirfenidone; IVIG, intravenous immunoglobulin; immunosuppressants or biologics, including tacrolimus (TAC), cyclosporin A (CSA), and mycophenolate mofetil (MMF); Cyclophosphamide (CTX), azathioprine (AZA), methotrexate (MTX), tofacitinib (TOF), Baricitinib, Rituximab (RTX) and tocilizumab; LDH, lactate dehydrogenase; NLR, neutrophil-to-lymphocyte ratio; MSAs: Myositis-specific autoantibodies; anti-MDA5: anti&#x2013;melanoma differentiation&#x2013;associated protein 5; PFT: pulmonary function test; FVC% pred: percentage of predicted forced vital capacity; FEV1% pred: percentage of forced expiratory volume in the first second; DLCO% pred: percentage of the predicted diffusion capacity for carbon monoxide.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_5">
<title>Risk factors of PF-ILD in anti-MDA5<sup>+</sup> DM and ASS</title>
<p>Receiver operating characteristic (ROC) curve analysis and univariate and multivariate regression analyses were performed to determine the risk factors for patients with PF-ILD in both two subgroups.</p>
<p>In anti-MDA5<sup>+</sup> DM, the best cut-off values for various parameters are shown in <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>. Subsequently, candidate parameters identified in univariate Cox regression analyses (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S4</bold>
</xref>) were included in multivariate analysis and later adjusted for covariates (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>). As revealed in univariate analyses, in the anti-MDA5<sup>+</sup> DM group, age &gt; 43.5 years, shorter disease course, a decreased number of peripheral T cells, Th cells, Ts cells, NK cells, and lymphocytes, as well as increased levels of KL-6, AST, ALT, NLR, and ESR were significantly associated with PF-ILD. However, in further multivariate regression analysis with the adjustment of other covariates, only age &gt; 43.5 years [HR: 7.653 (95% CI: 2.005-29.204), p = 0.003], absolute NK cell count &lt; 148 cells/&#x3bc;L [HR: 6.277 (95% CI: 1.572-25.067), p = 0.009] and Th cells &lt; 533.2 cells/&#x3bc;L [HR: 4.703 (95% CI: 1.014-21.821), p = 0.048] remained significant independent predictors of PF-ILD in patients with anti-MDA5<sup>+</sup> DM. Other factors, such as clinical manifestations and treatment modalities, did not show significant associations with PF-ILD in the multivariable analysis.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>
<bold>(A)</bold> ROC analysis of the baseline factors of PF-ILD in anti-MDA5<sup>+</sup> DM. <bold>(B)</bold> Forest plot of multivariate Cox analysis in anti-MDA5<sup>+</sup> DM.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-15-1404828-g002.tif"/>
</fig>
<p>The optimal cut-off values for the potential poor prognostic factors at baseline associated with fibrosing progression included the absolute count of NK cells &lt; 148 cells/&#x3bc;L [AUC, 0.765; sensitivity, 0.878; and specificity, 0.674], absolute count of Th cells &lt; 533.2 cells/&#x3bc;L [AUC, 0.735; sensitivity, 0.902; and specificity, 0.535], and age &gt; 43.5 years [AUC, 0.595; sensitivity, 0.878; and specificity, 0.326]. The cut-off values for individual biomarkers were rounded for further analyses.</p>
<p>
<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref> presents the ROC analysis of risk factors in patients with ASS, and the correlation between the variables of interest and the incidence of PF-ILD was assessed using univariate Cox regression analysis (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S5</bold>
</xref>). In patients with ASS, decreased number of B cells, T cells, NK cells, and lymphocytes, as well as increased levels of ferritin, LDH, NLR, and AST were risk factors for PF-ILD in the univariate analysis. Subsequently, the results of ROC and multivariate regression analyses demonstrated the following independent risk factors: absolute count of NK cells &lt; 303.3 cells/&#xb5;L [HR: 19.962 (95% CI: 3.108-128.223), p = 0.002], absolute count of lymphocytes 1.545&#xd7;10<sup>9</sup>/L [HR: 9.684 (95% CI: 1.063-88.186), p = 0.044], and ferritin &gt; 259.45 ng/mL [HR: 6 (95% CI: 1.116-32.256), p = 0.037] (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>
<bold>(A)</bold> ROC analysis of the baseline factors of PF-ILD in ASS. <bold>(B)</bold> Forest plot of multivariate Cox analysis in ASS.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-15-1404828-g003.tif"/>
</fig>
<p>The optimal cut-off values for the potential poor prognostic factors at baseline associated with fibrosing progression were absolute count of NK cells &lt; 303.3 cells/&#xb5;L [AUC, 0.698; sensitivity, 0.842; and specificity, 0.61], absolute lymphocyte count &lt; 1.545&#xd7;10<sup>9</sup>/L [AUC, 0.728; sensitivity, 0.737; and specificity, 0.659], ferritin &gt;259.45 IU/L [AUC, 0.644; sensitivity, 0.632; and specificity, 0.756].</p>
<p>
<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref> presents the results of univariate and multivariate Cox regression analyses using NK cell count as both a continuous and binary variable. After adjusting for various covariates using three different models, NK cell count consistently remained a significant risk factor for predicting PF-ILD in both disease subtypes.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Cox regression analyses of NK cell count.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left"/>
<th valign="bottom" colspan="2" align="left">anti-MDA5<sup>+</sup> DM (n=84)</th>
<th valign="top" colspan="2" align="left">ASS (n=60)</th>
</tr>
<tr>
<th valign="top" align="left">HR (95% CI)</th>
<th valign="top" align="left">P value</th>
<th valign="top" align="left">HR (95% CI)</th>
<th valign="top" align="left">P value</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="top" colspan="5" align="left">Univariate Cox regression</th>
</tr>
<tr>
<td valign="top" align="left">Continuous NK cell count</td>
<td valign="top" align="left">0.993 (0.989-0.997)</td>
<td valign="top" align="left">&lt;0.001***</td>
<td valign="top" align="left">0.996 (0.992-1)</td>
<td valign="top" align="left">0.035*</td>
</tr>
<tr>
<td valign="top" align="left">Binary NK cell count</td>
<td valign="top" align="left">6.838 (2.668-17.525)</td>
<td valign="top" align="left">&lt;0.001***</td>
<td valign="top" align="left">5.816 (1.687-20.053)</td>
<td valign="top" align="left">0.005**</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">Multivariable Cox regression(Binary NK cell count)</th>
</tr>
<tr>
<td valign="top" align="left">Model A</td>
<td valign="top" align="left">5.928 (1.994-17.625)</td>
<td valign="top" align="right">0.001**</td>
<td valign="top" align="left">8.324 (2.112-32.807)</td>
<td valign="top" align="left">0.002**</td>
</tr>
<tr>
<td valign="top" align="left">Model B</td>
<td valign="top" align="left">6.811 (1.875-24.747)</td>
<td valign="top" align="right">0.004**</td>
<td valign="top" align="left">7.683 (1.854-31.85)</td>
<td valign="top" align="left">0.005**</td>
</tr>
<tr>
<td valign="top" align="left">Model C</td>
<td valign="top" align="left">6.277 (1.572-25.067)</td>
<td valign="top" align="right">0.009**</td>
<td valign="top" align="left">19.962 (3.108-128.223)</td>
<td valign="top" align="left">0.002**</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>*p &lt; 0.05; **p &lt; 0.01; ***p &lt; 0.001. In the anti-MDA5<sup>+</sup>DM group, binary NK cell count was based on the optimal cut-off (148 cells/&#xb5;L); Then Model A was adjusted for age, sex, and disease course; Model B further included ferritin, KL-6, ALT, AST, and ESR in addition to the variables in Model A; and Model C incorporated immunotherapy on top of the variables in Model B. For the ASS group, binary NK cell count was based on the optimal cut-off (303.3 cells/&#xb5;L); Then Model A was adjusted for age, sex, and disease course; Model B added ferritin, LDH, and AST to the variables in Model A; and Model C included immunotherapy in addition to the variables in Model B.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>The Kaplan-Meier survival plots presented in <xref ref-type="fig" rid="f4">
<bold>Figure 4</bold>
</xref> depict event-free probability over time after the two patient groups were grouped according to their ultimately statistically significant risk factors. Patients were divided according to optimal cut-off values of different variables. Anti-MDA5<sup>+</sup>DM patients with lower counts of NK cells, lower counts of Th cells, and older age had a higher probability of experiencing PF-ILD, while ASS patients with depletion in NK cells and Th cells, and elevated levels of ferritin also demonstrate a higher probability of developing PF-ILD (log-rank test, P &lt; 0.05).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Kaplan&#x2013;Meier survival curves for anti-MDA5<sup>+</sup>DM and ASS.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-15-1404828-g004.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>Although evidence suggests the potential value of lymphocytes in the progression and prognosis of autoimmune disease-associated ILD, related studies are limited (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B35">35</xref>). In this prospective study, we systematically described the clinical and immune characteristics of patients with IIM-ILD, with a focus on lung involvement, and separately discussed the two subpopulations, anti-MDA5<sup>+</sup> DM and ASS, which are most susceptible to ILD; the relationships among peripheral blood lymphocyte characteristics, clinical parameters, and disease progression were also discussed. We found that immune cell depletion was strongly associated with pulmonary fibrosis progression in patients with IIM-ILD, and the lymphocyte characteristics of different IIM subtypes were partly different. The depletion of NK and Th cells and older age of onset were associated with PF-ILD in patients with anti-MDA5<sup>+</sup> DM, whereas lymphopenia, NK cell depletion, and high levels of ferritin in the peripheral blood of patients with ASS were associated with PF-ILD. To the best of our knowledge, this is the first prospective study to focus on the immunological subtypes as risk factors of PF-ILD in a larger group of patients with IIM, particularly the two different IIM subtypes, and we identified the potential value of lymphocytes (especially NK cells) in predicting PF-ILD.</p>
<p>The &#x2018;PF-ILD&#x2019; concept is more appropriate for the broader IIM population than the short-term assessed &#x2018;rapidly progressive ILD (RP-ILD)&#x2019;, favoring the exploration of more meaningful indicators by reducing bias from critically ill patients. In our study, PF-ILD occurred in approximately 40% of patients with IIM, which is slightly higher than other related studies. First, similar CTD-ILD studies associated with PF-ILD were notably limited, most of which did not explicitly analyze each disease subtype; second, most patients in our cohort were those with anti-ARS<sup>+</sup> and anti-MDA5<sup>+</sup>, which can be supported by studies that found approximately a 50% probability of PF-ILD in anti-MDA5<sup>+</sup> DM (<xref ref-type="bibr" rid="B20">20</xref>).</p>
<p>Currently, it is well known that risk factors for developing ILD during IIM are mainly associated with MSAs (such as MDA5) and ARS (<xref ref-type="bibr" rid="B36">36</xref>), and each IIM subgroup has its pathophysiology. Thus, we separately analyzed the immune profiles of anti-MDA5<sup>+</sup> DM and ASS. Based on our findings, individuals with anti-MDA5<sup>+</sup> DM had a significantly higher probability of developing PF-ILD than those with ASS; additionally, they have a higher likelihood of having classic rashes, such as heliotrope rash and Gottron sign and a tendency to develop fever and arthritis. Moreover, individuals with anti-MDA5<sup>+</sup> DM have more severe lymphocyte depletion than those with ASS, as well as higher levels of liver enzymes and ferritin, which are similar to the clinical characteristics of viral infection (<xref ref-type="bibr" rid="B37">37</xref>). These findings reflect differences in the pathogenesis of the two IIM-ILD groups with different antibodies; however, the risk factors for PF-ILD in anti-MDA5<sup>+</sup> DM and ASS were somewhat similar.</p>
<p>Our results suggest that NK cell depletion was the significant risk factor for PF-ILD within 1 year in both patients with anti-MDA5<sup>+</sup> DM and ASS, providing strong evidence for the association between NK cells and IIM-ILD and revealing the potential role of NK cell count as a predictor of pulmonary fibrotic progression. Nevertheless, the optimal cutoffs are different, with a lower cutoff in the anti-MDA5<sup>+</sup> DM group, whereas the cutoff for ASS is within the normal range of NK cells, possibly because of differences in sample sizes that require further expansion. NK cells are natural effector cells involved in innate immunity and are currently considered to be involved in regulating adaptive immunity, playing an important role in various immunological diseases (<xref ref-type="bibr" rid="B38">38</xref>). However, the potential of NK cells in IIM appears to be underestimated, and related research is limited. Several studies have found that NK cell depletion is more noticeable in patients with ASS with severe lung involvement (<xref ref-type="bibr" rid="B25">25</xref>) and in those with anti-MDA5<sup>+</sup> DM than in those with other IIM subtypes (<xref ref-type="bibr" rid="B28">28</xref>). Our results not only supported that patients with anti-MDA5<sup>+</sup> DM show more pronounced depletion of NK cells but also indicated that the number of NK cells can be used to identify patient populations more prone to progressive exacerbations of ILD in anti-MDA5<sup>+</sup> DM and ASS. Additionally, comparing the characteristics of the lower NK cell counts group with the higher NK cell counts group within the overall IIM cohort, it was observed that patients with NK cell counts below the median not only exhibited a significant increase in the incidence of PF-ILD but also showed a heightened risk of RP-ILD. This aligned with the findings of Ye&#x2019;s study (<xref ref-type="bibr" rid="B27">27</xref>), which reported a higher proportion of RP-ILD in patients with a reduction in CD56<sup>dim</sup> NK cells accompanied by a cluster of activated CD45RA<sup>+</sup>HLA<sup>-</sup>DR<sup>+</sup>CD8<sup>+</sup> T cells. Our findings, therefore, reinforced the significant role of NK cells in evaluating and predicting the progression of ILD.</p>
<p>It is suggested that NK cells in the peripheral circulation play an inhibitory role in disease progression by coordinating the extent of the inflammatory response (<xref ref-type="bibr" rid="B39">39</xref>), whereas a reduction in circulating NK cells may weaken the suppression of pathogenic immune cells. Nevertheless, the exact mechanism of the NK cell depletion in IIM remains unknown. One hypothesis is that the depletion of circulating NK cells may be due to their migration from the peripheral circulation to the local site or apoptosis, reported by related clinical studies about ASS (<xref ref-type="bibr" rid="B26">26</xref>), SSc (<xref ref-type="bibr" rid="B40">40</xref>, <xref ref-type="bibr" rid="B41">41</xref>), and sarcoidosis (<xref ref-type="bibr" rid="B42">42</xref>). Notably, the migration of NK cells to the lungs in anti-MDA5<sup>+</sup> DM patients may be driven by the local production of chemokines induced by IFN-&#x3b3;, such as CXCL10 (<xref ref-type="bibr" rid="B43">43</xref>, <xref ref-type="bibr" rid="B44">44</xref>). Once recruited to the lungs, NK cells can further secrete IFN-&#x3b3;, creating a positive feedback loop that amplifies the inflammatory response and exacerbates tissue damage (<xref ref-type="bibr" rid="B45">45</xref>). NK cell dysregulation has been reported in studies related to the COVID-19 infection, which inferred that direct viral attack, hyperinflammatory responses, activation-induced cell death, and the mobilization/homing of NK cells to affected tissues may be responsible for the NK cell depletion (<xref ref-type="bibr" rid="B46">46</xref>). However, these speculative mechanisms require further studies to elucidate the precise role of NK cells and IFN-&#x3b3; in the pathogenesis of IIM-ILD.</p>
<p>Previous studies have found lymphocyte dysregulation as a risk factor for acute progression or death in anti-MDA5<sup>+</sup> DM. For example, Zuo et&#xa0;al. demonstrated that reduced levels of CD3<sup>+</sup>, CD3<sup>+</sup>CD4<sup>+</sup>, and CD3<sup>+</sup>CD8<sup>+</sup> T cells are predictors for the development of rapid progressive ILD in anti-MDA5<sup>+</sup> DM (<xref ref-type="bibr" rid="B35">35</xref>), which was partially verified in our study. We also found a significant decrease in the levels of T, Th, Ts, and B cells and total lymphocytes in patients with PF-ILD; additionally, a decreased number of Th cells was found correlated with the risk of PF-ILD in patients with anti-MDA5<sup>+</sup> DM. In contrast, lymphocyte depletion was also the significant risk factor for PF-ILD in patients with ASS, highlighting the important function and study prospect of lymphocytes in IIM-ILD.</p>
<p>Many studies have confirmed that laboratory markers, such as anti-MDA5 antibody, KL-6, ferritin, LDH, CK, CRP, and NLR, may serve as diagnostic and/or prognostic biomarkers of disease activity in IIM-ILD (<xref ref-type="bibr" rid="B47">47</xref>&#x2013;<xref ref-type="bibr" rid="B53">53</xref>). Hyperferritinaemia has been recognized as an independent risk factor for poor prognosis in patients with anti-MDA5<sup>+</sup> IIM-ILD (<xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B49">49</xref>, <xref ref-type="bibr" rid="B54">54</xref>) and in those with ASS-ILD (<xref ref-type="bibr" rid="B55">55</xref>). Ferritin is associated with macrophage activation (<xref ref-type="bibr" rid="B56">56</xref>). Our study revealed the predictive value of hyperferritinaemia for PF-ILD in patients with ASS. Given that our assessment criteria differ from death or acute exacerbation within 3 months, the results of multivariate regression analysis of anti-MDA5<sup>+</sup> DM showed no statistical significance of high ferritin as an independent risk factor.</p>
<p>Furthermore, our study showed that patients with anti-MDA5<sup>+</sup> or anti-ARS<sup>+</sup> commonly exhibit comorbidity with anti-Ro52 antibodies because Ro52 forms Ro52/IgG/HLA-DR complexes on the cell surface, which are specifically recognized by autoantibodies in some patients with inflammatory myopathies (<xref ref-type="bibr" rid="B57">57</xref>).</p>
<p>While the vast majority of patients were treated with either glucocorticoids or immunosuppressive therapy at enrollment, our analysis revealed no substantial differences in the specifics of immunological therapy or antifibrotic treatment between the PF-ILD and non-PF-ILD groups at baseline. This finding suggests that the initial use of immunological therapy may not serve as a direct risk factor for PF-ILD. However, it is important to note that in the multivariate Cox regression analysis, immunosuppressant use appeared to emerge as an independent protective factor for prognosis in PF-ILD patients in ASS, despite showing no significance in the univariate analysis. However, due to the wide variety of immunosuppressants and the limited number of cases using each immunosuppressant, it is challenging to further analyze the impact of different immunosuppressants on prognosis.</p>
<p>This study had some limitations. Firstly, as a single-center study with a limited sample size, further multicenter studies with larger sample sizes and external validation are required to confirm these findings and explore the characteristics of more disease subtypes. Secondly, the heterogeneity of NK cells in different autoimmune diseases (<xref ref-type="bibr" rid="B58">58</xref>) and the potential impact of glucocorticoids and immunosuppressive treatments may have masked differences in clinical or laboratory test results. Furthermore, the functions and mechanisms of various lymphocyte subtypes in IIM-ILD were not thoroughly investigated.</p>
<p>Studies with larger sample sizes and more refined experimental designs are needed to dynamically record patients&#x2019; use of immunosuppressants during disease progression to perform a more accurate evaluation of the impact of different therapies on the prognosis of PF-ILD patients. Additionally, investigating the potential impact of immunosuppressants on lymphocyte subsets is crucial for comprehensively understanding the mechanisms of PF-ILD. Future research should also focus more on the functions of these immune subtypes to elucidate their significance in disease progression, particularly in different disease subtypes.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusion</title>
<p>Patients with anti-MDA5<sup>+</sup> DM and ASS have different immune profiles, and they have their independent risk factors for PF-ILD; however, both groups have components associated with lymphocyte exhaustion. The depletion of NK cells with different cutoff values is a risk factor for PF-ILD in these two disease subtypes, suggesting that NK cell count may provide valuable information for the prognostic assessment of patients with IIM-ILD, thereby improving our understanding of disease pathogenesis. Our findings indicate that patients at risk of PF-ILD can be identified earlier by testing the NK cell and other lymphocyte levels, which could help clinicians manage patients with IIM-ILD and have implications for clinical monitoring, individualized therapy, and pathogenesis studies. Future studies are needed to focus on the functions and mechanisms of NK cell depletion and other cell subsets in IIM-ILD.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Research Ethics Committee of Renji Hospital. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>CS: Conceptualization, Formal analysis, Investigation, Methodology, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing, Data curation, Software, Visualization. NX: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. YZ: Data curation, Investigation, Methodology, Software, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. XZ: Data curation, Investigation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing, Supervision. NY: Data curation, Investigation, Supervision, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. QG: Investigation, Supervision, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing, Conceptualization, Formal analysis, Funding acquisition, Methodology, Project administration, Resources.</p>
</sec>
</body>
<back>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by grants from the Clinical Research Innovation Cultivation Fund of Renji Hospital Affiliated with Shanghai Jiao Tong University School of Medicine (PYII20-12).</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We would like to express our gratitude to Editage for providing language-editing services.</p>
</ack>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s12" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fimmu.2024.1404828/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fimmu.2024.1404828/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
</sec>
<ref-list>
<title>References</title>
<ref id="B1">
<label>1</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lundberg</surname> <given-names>IE</given-names>
</name>
<name>
<surname>Fujimoto</surname> <given-names>M</given-names>
</name>
<name>
<surname>Vencovsky</surname> <given-names>J</given-names>
</name>
<name>
<surname>Aggarwal</surname> <given-names>R</given-names>
</name>
<name>
<surname>Holmqvist</surname> <given-names>M</given-names>
</name>
<name>
<surname>Christopher-Stine</surname> <given-names>L</given-names>
</name>
<etal/>
</person-group>. <article-title>Idiopathic inflammatory myopathies</article-title>. <source>Nat Rev Dis Primers</source>. (<year>2021</year>) <volume>7</volume>:<fpage>86</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41572-021-00321-x</pub-id>
</citation>
</ref>
<ref id="B2">
<label>2</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Saketkoo</surname> <given-names>LA</given-names>
</name>
<name>
<surname>Ascherman</surname> <given-names>DP</given-names>
</name>
<name>
<surname>Cottin</surname> <given-names>V</given-names>
</name>
<name>
<surname>Christopher-Stine</surname> <given-names>L</given-names>
</name>
<name>
<surname>Danoff</surname> <given-names>SK</given-names>
</name>
<name>
<surname>Oddis</surname> <given-names>CV</given-names>
</name>
</person-group>. <article-title>Interstitial lung disease in idiopathic inflammatory myopathy</article-title>. <source>Curr Rheumatol Rev</source>. (<year>2010</year>) <volume>6</volume>:<page-range>108&#x2013;19</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.2174/157339710791330740</pub-id>
</citation>
</ref>
<ref id="B3">
<label>3</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lundberg</surname> <given-names>M</given-names>
</name>
</person-group>. <article-title>Interstitial lung disease in polymyositis and dermatomyositis</article-title>. <source>Curr Opin Rheumatol</source>. (<year>2005</year>) <volume>17</volume>:<page-range>701&#x2013;6</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1097/01.bor.0000179949.65895.53</pub-id>
</citation>
</ref>
<ref id="B4">
<label>4</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hallowell</surname> <given-names>RW</given-names>
</name>
<name>
<surname>Ascherman</surname> <given-names>DP</given-names>
</name>
<name>
<surname>Danoff</surname> <given-names>SK</given-names>
</name>
</person-group>. <article-title>Pulmonary manifestations of polymyositis/dermatomyositis</article-title>. <source>Semin Respir Crit Care Med</source>. (<year>2014</year>) <volume>35</volume>:<page-range>239&#x2013;48</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1055/s-00000075</pub-id>
</citation>
</ref>
<ref id="B5">
<label>5</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hervier</surname> <given-names>B</given-names>
</name>
<name>
<surname>Uzunhan</surname> <given-names>Y</given-names>
</name>
</person-group>. <article-title>Inflammatory myopathy-related interstitial lung disease: from pathophysiology to treatment</article-title>. <source>Front Med (Lausanne)</source>. (<year>2019</year>) <volume>6</volume>:<elocation-id>326</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fmed.2019.00326</pub-id>
</citation>
</ref>
<ref id="B6">
<label>6</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Long</surname> <given-names>K</given-names>
</name>
<name>
<surname>Danoff</surname> <given-names>SK</given-names>
</name>
</person-group>. <article-title>Interstitial lung disease in polymyositis and dermatomyositis</article-title>. <source>Clin Chest Med</source>. (<year>2019</year>) <volume>40</volume>:<page-range>561&#x2013;72</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.ccm.2019.05.004</pub-id>
</citation>
</ref>
<ref id="B7">
<label>7</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wong</surname> <given-names>AW</given-names>
</name>
<name>
<surname>Ryerson</surname> <given-names>CJ</given-names>
</name>
<name>
<surname>Guler</surname> <given-names>SA</given-names>
</name>
</person-group>. <article-title>Progression of fibrosing interstitial lung disease</article-title>. <source>Respir Res</source>. (<year>2020</year>) <volume>21</volume>:<fpage>32</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/s12931-020-1296-3</pub-id>
</citation>
</ref>
<ref id="B8">
<label>8</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>George</surname> <given-names>PM</given-names>
</name>
<name>
<surname>Spagnolo</surname> <given-names>P</given-names>
</name>
<name>
<surname>Kreuter</surname> <given-names>M</given-names>
</name>
<name>
<surname>Altinisik</surname> <given-names>G</given-names>
</name>
<name>
<surname>Bonifazi</surname> <given-names>M</given-names>
</name>
<name>
<surname>Martinez</surname> <given-names>FJ</given-names>
</name>
<etal/>
</person-group>. <article-title>Progressive fibrosing interstitial lung disease: clinical uncertainties, consensus recommendations, and research priorities</article-title>. <source>Lancet Respir Med</source>. (<year>2020</year>) <volume>8</volume>:<page-range>925&#x2013;34</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/S2213-2600(20)30355-6</pub-id>
</citation>
</ref>
<ref id="B9">
<label>9</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Olson</surname> <given-names>AL</given-names>
</name>
<name>
<surname>Brown</surname> <given-names>KK</given-names>
</name>
<name>
<surname>Swigris</surname> <given-names>JJ</given-names>
</name>
</person-group>. <article-title>Understanding and optimizing health-related quality of life and physical functional capacity in idiopathic pulmonary fibrosis</article-title>. <source>Patient Relat Outcome Meas</source>. (<year>2016</year>) <volume>7</volume>:<fpage>29</fpage>&#x2013;<lpage>35</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.2147/PROM</pub-id>
</citation>
</ref>
<ref id="B10">
<label>10</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sgalla</surname> <given-names>G</given-names>
</name>
<name>
<surname>Iovene</surname> <given-names>B</given-names>
</name>
<name>
<surname>Calvello</surname> <given-names>M</given-names>
</name>
<name>
<surname>Ori</surname> <given-names>M</given-names>
</name>
<name>
<surname>Varone</surname> <given-names>F</given-names>
</name>
<name>
<surname>Richeldi</surname> <given-names>L</given-names>
</name>
</person-group>. <article-title>Idiopathic pulmonary fibrosis: pathogenesis and management</article-title>. <source>Respir Res</source>. (<year>2018</year>) <volume>19</volume>:<fpage>32</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/s12931-018-0730-2</pub-id>
</citation>
</ref>
<ref id="B11">
<label>11</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Flaherty</surname> <given-names>KR</given-names>
</name>
<name>
<surname>Wells</surname> <given-names>AU</given-names>
</name>
<name>
<surname>Cottin</surname> <given-names>V</given-names>
</name>
<name>
<surname>Devaraj</surname> <given-names>A</given-names>
</name>
<name>
<surname>Walsh</surname> <given-names>SLF</given-names>
</name>
<name>
<surname>Inoue</surname> <given-names>Y</given-names>
</name>
<etal/>
</person-group>. <article-title>Nintedanib in progressive fibrosing interstitial lung diseases</article-title>. <source>N Engl J Med</source>. (<year>2019</year>) <volume>381</volume>:<page-range>1718&#x2013;27</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1056/NEJMoa1908681</pub-id>
</citation>
</ref>
<ref id="B12">
<label>12</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Takei</surname> <given-names>R</given-names>
</name>
<name>
<surname>Brown</surname> <given-names>KK</given-names>
</name>
<name>
<surname>Yamano</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Kataoka</surname> <given-names>K</given-names>
</name>
<name>
<surname>Yokoyama</surname> <given-names>T</given-names>
</name>
<name>
<surname>Matsuda</surname> <given-names>T</given-names>
</name>
<etal/>
</person-group>. <article-title>Prevalence and prognosis of chronic fibrosing interstitial lung diseases with a progressive phenotype</article-title>. <source>Respirology</source>. (<year>2022</year>) <volume>27</volume>:<page-range>333&#x2013;40</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/resp.14245</pub-id>
</citation>
</ref>
<ref id="B13">
<label>13</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wilfong</surname> <given-names>EM</given-names>
</name>
<name>
<surname>Aggarwal</surname> <given-names>R</given-names>
</name>
</person-group>. <article-title>Role of antifibrotics in the management of idiopathic inflammatory myopathy associated interstitial lung disease</article-title>. <source>Ther Adv Musculoskelet Dis</source>. (<year>2021</year>) <volume>13</volume>:<fpage>1759720x211060907</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1177/1759720X211060907</pub-id>
</citation>
</ref>
<ref id="B14">
<label>14</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname> <given-names>H</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Sun</surname> <given-names>D</given-names>
</name>
<name>
<surname>Yu</surname> <given-names>S</given-names>
</name>
<name>
<surname>Du</surname> <given-names>X</given-names>
</name>
<name>
<surname>Ye</surname> <given-names>Q</given-names>
</name>
</person-group>. <article-title>Progressive pulmonary fibrosis in myositis-specific antibody-positive interstitial pneumonia: a retrospective cohort study</article-title>. <source>Front Med (Lausanne)</source>. (<year>2023</year>) <volume>10</volume>:<elocation-id>1325082</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fmed.2023.1325082</pub-id>
</citation>
</ref>
<ref id="B15">
<label>15</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Maher</surname> <given-names>TM</given-names>
</name>
<name>
<surname>Corte</surname> <given-names>TJ</given-names>
</name>
<name>
<surname>Fischer</surname> <given-names>A</given-names>
</name>
<name>
<surname>Kreuter</surname> <given-names>M</given-names>
</name>
<name>
<surname>Lederer</surname> <given-names>DJ</given-names>
</name>
<name>
<surname>Molina-Molina</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Pirfenidone in patients with unclassifiable progressive fibrosing interstitial lung disease: a double-blind, randomised, placebo-controlled, phase 2 trial</article-title>. <source>Lancet Respir Med</source>. (<year>2020</year>) <volume>8</volume>:<page-range>147&#x2013;57</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/S2213-2600(19)30341-8</pub-id>
</citation>
</ref>
<ref id="B16">
<label>16</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Cottin</surname> <given-names>V</given-names>
</name>
<name>
<surname>Hirani</surname> <given-names>NA</given-names>
</name>
<name>
<surname>Hotchkin</surname> <given-names>DL</given-names>
</name>
<name>
<surname>Nambiar</surname> <given-names>AM</given-names>
</name>
<name>
<surname>Ogura</surname> <given-names>T</given-names>
</name>
<name>
<surname>Otaola</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Presentation, diagnosis and clinical course of the spectrum of progressive-fibrosing interstitial lung diseases</article-title>. <source>Eur Respir Rev</source>. (<year>2018</year>) <volume>27</volume>:<fpage>180076</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1183/16000617.0076-2018</pub-id>
</citation>
</ref>
<ref id="B17">
<label>17</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Goh</surname> <given-names>NS</given-names>
</name>
<name>
<surname>Hoyles</surname> <given-names>RK</given-names>
</name>
<name>
<surname>Denton</surname> <given-names>CP</given-names>
</name>
<name>
<surname>Hansell</surname> <given-names>DM</given-names>
</name>
<name>
<surname>Renzoni</surname> <given-names>EA</given-names>
</name>
<name>
<surname>Maher</surname> <given-names>TM</given-names>
</name>
<etal/>
</person-group>. <article-title>Short-term pulmonary function trends are predictive of mortality in interstitial lung disease associated with systemic sclerosis</article-title>. <source>Arthritis Rheumatol</source>. (<year>2017</year>) <volume>69</volume>:<page-range>1670&#x2013;8</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/art.40130</pub-id>
</citation>
</ref>
<ref id="B18">
<label>18</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wijsenbeek</surname> <given-names>M</given-names>
</name>
<name>
<surname>Kreuter</surname> <given-names>M</given-names>
</name>
<name>
<surname>Olson</surname> <given-names>A</given-names>
</name>
<name>
<surname>Fischer</surname> <given-names>A</given-names>
</name>
<name>
<surname>Bendstrup</surname> <given-names>E</given-names>
</name>
<name>
<surname>Wells</surname> <given-names>CD</given-names>
</name>
<etal/>
</person-group>. <article-title>Progressive fibrosing interstitial lung diseases: current practice in diagnosis and management</article-title>. <source>Curr Med Res Opin</source>. (<year>2019</year>) <volume>35</volume>:<page-range>2015&#x2013;24</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1080/03007995.2019.1647040</pub-id>
</citation>
</ref>
<ref id="B19">
<label>19</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Reiseter</surname> <given-names>S</given-names>
</name>
<name>
<surname>Gunnarsson</surname> <given-names>R</given-names>
</name>
<name>
<surname>Mogens Aal&#xf8;kken</surname> <given-names>T</given-names>
</name>
<name>
<surname>Lund</surname> <given-names>MB</given-names>
</name>
<name>
<surname>Mynarek</surname> <given-names>G</given-names>
</name>
<name>
<surname>Corander</surname> <given-names>J</given-names>
</name>
<etal/>
</person-group>. <article-title>Progression and mortality of interstitial lung disease in mixed connective tissue disease: a long-term observational nationwide cohort study</article-title>. <source>Rheumatol (Oxford)</source>. (<year>2018</year>) <volume>57</volume>:<page-range>255&#x2013;62</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/rheumatology/kex077</pub-id>
</citation>
</ref>
<ref id="B20">
<label>20</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zanatta</surname> <given-names>E</given-names>
</name>
<name>
<surname>Cocconcelli</surname> <given-names>E</given-names>
</name>
<name>
<surname>Castelli</surname> <given-names>G</given-names>
</name>
<name>
<surname>Giraudo</surname> <given-names>C</given-names>
</name>
<name>
<surname>Fraia</surname> <given-names>AS</given-names>
</name>
<name>
<surname>De Zorzi</surname> <given-names>E</given-names>
</name>
<etal/>
</person-group>. <article-title>Interstitial lung disease with and without progressive fibrosing phenotype in patients with idiopathic inflammatory myopathies: data from a large multicentric cohort</article-title>. <source>RMD Open</source>. (<year>2023</year>) <volume>9</volume>:<elocation-id>e003121</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1136/rmdopen-2023-003121</pub-id>
</citation>
</ref>
<ref id="B21">
<label>21</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chiu</surname> <given-names>Y-H</given-names>
</name>
<name>
<surname>Spierings</surname> <given-names>J</given-names>
</name>
<name>
<surname>de Jong</surname> <given-names>PA</given-names>
</name>
<name>
<surname>Hoesein</surname> <given-names>FM</given-names>
</name>
<name>
<surname>Grutters</surname> <given-names>JC</given-names>
</name>
<name>
<surname>van Laar</surname> <given-names>JM</given-names>
</name>
<etal/>
</person-group>. <article-title>Predictors for progressive fibrosis in patients with connective tissue disease associated interstitial lung diseases</article-title>. <source>Respir Med</source>. (<year>2021</year>) <volume>187</volume>:<fpage>106579</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.rmed.2021.106579</pub-id>
</citation>
</ref>
<ref id="B22">
<label>22</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>So</surname> <given-names>J</given-names>
</name>
<name>
<surname>So</surname> <given-names>H</given-names>
</name>
<name>
<surname>Wong</surname> <given-names>VT</given-names>
</name>
<name>
<surname>Ho</surname> <given-names>R</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>TY</given-names>
</name>
<name>
<surname>Wong</surname> <given-names>PC</given-names>
</name>
<etal/>
</person-group>. <article-title>Predictors of rapidly progressive interstitial lung disease and mortality in patients with autoantibodies against melanoma differentiation-associated protein 5 dermatomyositis</article-title>. <source>Rheumatol (Oxford)</source>. (<year>2022</year>) <volume>61</volume>:<page-range>4437&#x2013;44</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/rheumatology/keac094</pub-id>
</citation>
</ref>
<ref id="B23">
<label>23</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gono</surname> <given-names>T</given-names>
</name>
<name>
<surname>Masui</surname> <given-names>K</given-names>
</name>
<name>
<surname>Nishina</surname> <given-names>N</given-names>
</name>
<name>
<surname>Kawaguchi</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Kawakami</surname> <given-names>A</given-names>
</name>
<name>
<surname>Ikeda</surname> <given-names>K</given-names>
</name>
<etal/>
</person-group>. <article-title>Risk prediction modeling based on a combination of initial serum biomarker levels in polymyositis/dermatomyositis-associated interstitial lung disease</article-title>. <source>Arthritis Rheumatol</source>. (<year>2021</year>) <volume>73</volume>:<page-range>677&#x2013;86</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/art.41566</pub-id>
</citation>
</ref>
<ref id="B24">
<label>24</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname> <given-names>K</given-names>
</name>
<name>
<surname>Tian</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>S</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Shen</surname> <given-names>L</given-names>
</name>
<name>
<surname>Meng</surname> <given-names>D</given-names>
</name>
<etal/>
</person-group>. <article-title>Risk factors and predictive model for dermatomyositis associated with rapidly progressive interstitial lung disease</article-title>. <source>Pharmgenomics Pers Med</source>. (<year>2022</year>) <volume>15</volume>:<page-range>775&#x2013;83</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.2147/PGPM.S369556</pub-id>
</citation>
</ref>
<ref id="B25">
<label>25</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Pawlitzki</surname> <given-names>M</given-names>
</name>
<name>
<surname>Nelke</surname> <given-names>C</given-names>
</name>
<name>
<surname>Rolfes</surname> <given-names>L</given-names>
</name>
<name>
<surname>Hasseli</surname> <given-names>R</given-names>
</name>
<name>
<surname>Tomaras</surname> <given-names>S</given-names>
</name>
<name>
<surname>Feist</surname> <given-names>E</given-names>
</name>
<etal/>
</person-group>. <article-title>NK Cell patterns in idiopathic inflammatory myopathies with pulmonary affection</article-title>. <source>Cells</source>. (<year>2021</year>) <volume>10</volume>:<fpage>2551</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/cells10102551</pub-id>
</citation>
</ref>
<ref id="B26">
<label>26</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hervier</surname> <given-names>B</given-names>
</name>
<name>
<surname>Perez</surname> <given-names>M</given-names>
</name>
<name>
<surname>Allenbach</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Devilliers</surname> <given-names>H</given-names>
</name>
<name>
<surname>Cohen</surname> <given-names>F</given-names>
</name>
<name>
<surname>Uzunhan</surname> <given-names>Y</given-names>
</name>
<etal/>
</person-group>. <article-title>Involvement of NK cells and NKp30 pathway in antisynthetase syndrome</article-title>. <source>J Immunol</source>. (<year>2016</year>) <volume>197</volume>:<page-range>1621&#x2013;30</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.4049/jimmunol.1501902</pub-id>
</citation>
</ref>
<ref id="B27">
<label>27</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ye</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>X</given-names>
</name>
<name>
<surname>Li</surname> <given-names>T</given-names>
</name>
<name>
<surname>Ma</surname> <given-names>J</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>R</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>C</given-names>
</name>
<etal/>
</person-group>. <article-title>Two distinct immune cell signatures predict the clinical outcomes in patients with amyopathic dermatomyositis with interstitial lung disease</article-title>. <source>Arthritis Rheumatol</source>. (<year>2022</year>) <volume>74</volume>:<page-range>1822&#x2013;32</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/art.42264</pub-id>
</citation>
</ref>
<ref id="B28">
<label>28</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lin</surname> <given-names>S</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Cao</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Xu</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Jin</surname> <given-names>Q</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>X</given-names>
</name>
<etal/>
</person-group>. <article-title>Decrease in cell counts and alteration of phenotype characterize peripheral NK cells of patients with anti-MDA5-positive dermatomyositis</article-title>. <source>Clin Chim Acta</source>. (<year>2023</year>) <volume>543</volume>:<fpage>117321</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.cca.2023.117321</pub-id>
</citation>
</ref>
<ref id="B29">
<label>29</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lundberg</surname> <given-names>IE</given-names>
</name>
<name>
<surname>Tj&#xe4;rnlund</surname> <given-names>A</given-names>
</name>
<name>
<surname>Bottai</surname> <given-names>M</given-names>
</name>
<name>
<surname>Werth</surname> <given-names>VP</given-names>
</name>
<name>
<surname>Pilkington</surname> <given-names>C</given-names>
</name>
<name>
<surname>Visser</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>2017 European League Against Rheumatism/American College of Rheumatology classification criteria for adult and juvenile idiopathic inflammatory myopathies and their major subgroups</article-title>. <source>Ann Rheum Dis</source>. (<year>2017</year>) <volume>76</volume>:<page-range>1955&#x2013;64</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1136/annrheumdis-2017-211468</pub-id>
</citation>
</ref>
<ref id="B30">
<label>30</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mammen</surname> <given-names>AL</given-names>
</name>
<name>
<surname>Allenbach</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Stenzel</surname> <given-names>W</given-names>
</name>
<name>
<surname>Benveniste</surname> <given-names>O</given-names>
</name>
</person-group>. <article-title>239th ENMC international workshop: classification of dermatomyositis, Amsterdam, the Netherlands, 14-16 December 2018</article-title>. <source>Neuromuscul Disord</source>. (<year>2020</year>) <volume>30</volume>:<fpage>70</fpage>&#x2013;<lpage>92</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.nmd.2019.10.005</pub-id>
</citation>
</ref>
<ref id="B31">
<label>31</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<collab>American Thoracic Society/European Respiratory Society International Multidisciplinary Consensus Classification of the Idiopathic Interstitial Pneumonias</collab>
</person-group>. <article-title>This joint statement of the American Thoracic Society (ATS), and the European Respiratory Society (ERS) was adopted by the ATS board of directors, June 2001 and by the ERS Executive Committee, June 2001</article-title>. <source>Am J Respir Crit Care Med</source>. (<year>2002</year>) <volume>165</volume>:<fpage>277</fpage>&#x2013;<lpage>304</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1164/ajrccm.165.2.ats01</pub-id>
</citation>
</ref>
<ref id="B32">
<label>32</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Raghu</surname> <given-names>G</given-names>
</name>
<name>
<surname>Remy-Jardin</surname> <given-names>M</given-names>
</name>
<name>
<surname>Richeldi</surname> <given-names>L</given-names>
</name>
<name>
<surname>Thomson</surname> <given-names>CC</given-names>
</name>
<name>
<surname>Inoue</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Johkoh</surname> <given-names>T</given-names>
</name>
<etal/>
</person-group>. <article-title>Idiopathic pulmonary fibrosis (an update) and progressive pulmonary fibrosis in adults: an official ATS/ERS/JRS/ALAT clinical practice guideline</article-title>. <source>Am J Respir Crit Care Med</source>. (<year>2022</year>) <volume>205</volume>:<page-range>e18&#x2013;47</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1164/rccm.202202-0399ST</pub-id>
</citation>
</ref>
<ref id="B33">
<label>33</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lang</surname> <given-names>D</given-names>
</name>
<name>
<surname>Akbari</surname> <given-names>K</given-names>
</name>
<name>
<surname>Horner</surname> <given-names>A</given-names>
</name>
<name>
<surname>Hepp</surname> <given-names>M</given-names>
</name>
<name>
<surname>Kaiser</surname> <given-names>B</given-names>
</name>
<name>
<surname>Pieringer</surname> <given-names>H</given-names>
</name>
<etal/>
</person-group>. <article-title>Computed tomography findings as determinants of local and systemic inflammation biomarkers in interstitial lung diseases: A retrospective registry-based descriptive study</article-title>. <source>Lung</source>. (<year>2021</year>) <volume>199</volume>:<page-range>155&#x2013;64</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s00408-021-00434-w</pub-id>
</citation>
</ref>
<ref id="B34">
<label>34</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ghirardello</surname> <given-names>A</given-names>
</name>
<name>
<surname>Doria</surname> <given-names>A</given-names>
</name>
</person-group>. <article-title>New insights in myositis-specific autoantibodies</article-title>. <source>Curr Opin Rheumatol</source>. (<year>2018</year>) <volume>30</volume>:<page-range>614&#x2013;22</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1097/BOR.0000000000000548</pub-id>
</citation>
</ref>
<ref id="B35">
<label>35</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zuo</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Ye</surname> <given-names>L</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>F</given-names>
</name>
<name>
<surname>Shen</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Lu</surname> <given-names>X</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>G</given-names>
</name>
<etal/>
</person-group>. <article-title>Different multivariable risk factors for rapid progressive interstitial lung disease in anti-MDA5 positive dermatomyositis and anti-synthetase syndrome</article-title>. <source>Front Immunol</source>. (<year>2022</year>) <volume>13</volume>:<elocation-id>845988</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fimmu.2022.845988</pub-id>
</citation>
</ref>
<ref id="B36">
<label>36</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhou</surname> <given-names>P</given-names>
</name>
<name>
<surname>Shen</surname> <given-names>Q</given-names>
</name>
<name>
<surname>Zhou</surname> <given-names>S</given-names>
</name>
<name>
<surname>Ouyang</surname> <given-names>X</given-names>
</name>
<name>
<surname>Guo</surname> <given-names>T</given-names>
</name>
<name>
<surname>Song</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>The prognostic role of C-reactive protein to albumin ratio and anti-MDA5 antibody-positive in idiopathic inflammatory myopathy: a retrospective study</article-title>. <source>Sci Rep</source>. (<year>2023</year>) <volume>13</volume>:<fpage>3863</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41598-023-30595-y</pub-id>
</citation>
</ref>
<ref id="B37">
<label>37</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>He</surname> <given-names>J</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Cao</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>X</given-names>
</name>
<name>
<surname>Yi</surname> <given-names>C</given-names>
</name>
<name>
<surname>Zhou</surname> <given-names>Y</given-names>
</name>
<etal/>
</person-group>. <article-title>Single-cell landscape of peripheral immune response in patients with anti-melanoma differentiation-associated gene 5 dermatomyositis</article-title>. <source>Rheumatol (Oxford)</source>. (<year>2023</year>) <fpage>kead597</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/rheumatology/kead597</pub-id>
</citation>
</ref>
<ref id="B38">
<label>38</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>O'Brien</surname> <given-names>KL</given-names>
</name>
<name>
<surname>Finlay</surname> <given-names>DK</given-names>
</name>
</person-group>. <article-title>Immunometabolism and natural killer cell responses</article-title>. <source>Nat Rev Immunol</source>. (<year>2019</year>) <volume>19</volume>:<page-range>282&#x2013;90</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41577-019-0139-2</pub-id>
</citation>
</ref>
<ref id="B39">
<label>39</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Day</surname> <given-names>J</given-names>
</name>
<name>
<surname>Souza-Fonseca Guimaraes</surname> <given-names>F</given-names>
</name>
<name>
<surname>Wicks</surname> <given-names>IP</given-names>
</name>
<name>
<surname>Louis</surname> <given-names>C</given-names>
</name>
</person-group>. <article-title>Natural killer cells in inflammatory autoimmune diseases</article-title>. <source>Clin Transl Immunol</source>. (<year>2021</year>) <volume>10</volume>:<elocation-id>e1250</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/cti2.1250</pub-id>
</citation>
</ref>
<ref id="B40">
<label>40</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Padilla</surname> <given-names>CM</given-names>
</name>
<name>
<surname>Valenzi</surname> <given-names>E</given-names>
</name>
<name>
<surname>Tabib</surname> <given-names>T</given-names>
</name>
<name>
<surname>Nazari</surname> <given-names>B</given-names>
</name>
<name>
<surname>Sembrat</surname> <given-names>J</given-names>
</name>
<name>
<surname>Rojas</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Increased CD8+ tissue resident memory T cells, regulatory T cells, and activated natural killer cells in systemic sclerosis lungs</article-title>. <source>Rheumatol (Oxford)</source>. (<year>2023</year>) <volume>63</volume>:<page-range>837&#x2013;45</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/rheumatology/kead273</pub-id>
</citation>
</ref>
<ref id="B41">
<label>41</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gonz&#xe1;lez-S&#xe1;nchez</surname> <given-names>E</given-names>
</name>
<name>
<surname>Mu&#xf1;oz-Callejas</surname> <given-names>A</given-names>
</name>
<name>
<surname>G&#xf3;mez-Rom&#xe1;n</surname> <given-names>J</given-names>
</name>
<name>
<surname>San Antonio</surname> <given-names>E</given-names>
</name>
<name>
<surname>Marengo</surname> <given-names>A</given-names>
</name>
<name>
<surname>Tsapis</surname> <given-names>N</given-names>
</name>
<etal/>
</person-group>. <article-title>Targeted nanotherapy with everolimus reduces inflammation and fibrosis in scleroderma-related interstitial lung disease developed by PSGL-1 deficient mice</article-title>. <source>Br J Pharmacol</source>. (<year>2022</year>) <volume>179</volume>:<page-range>4534&#x2013;48</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/bph.15898</pub-id>
</citation>
</ref>
<ref id="B42">
<label>42</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bergantini</surname> <given-names>L</given-names>
</name>
<name>
<surname>d'Alessandro</surname> <given-names>M</given-names>
</name>
<name>
<surname>Del Zotto</surname> <given-names>G</given-names>
</name>
<name>
<surname>Marcenaro</surname> <given-names>E</given-names>
</name>
<name>
<surname>Bargagli</surname> <given-names>E</given-names>
</name>
</person-group>. <article-title>Characterization of natural killer and T cells in bronchoalveolar lavage and peripheral blood of sarcoidosis patients</article-title>. <source>Front Immunol</source>. (<year>2022</year>) <volume>13</volume>:<elocation-id>1080556</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fimmu.2022.1080556</pub-id>
</citation>
</ref>
<ref id="B43">
<label>43</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bai</surname> <given-names>J</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>C</given-names>
</name>
<name>
<surname>Zhong</surname> <given-names>D</given-names>
</name>
<name>
<surname>Xu</surname> <given-names>D</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>Q</given-names>
</name>
<name>
<surname>Zeng</surname> <given-names>X</given-names>
</name>
</person-group>. <article-title>Hierarchical cluster analysis of cytokine profiles reveals a cutaneous vasculitis-associated subgroup in dermatomyositis</article-title>. <source>Clin Rheumatol</source>. (<year>2021</year>) <volume>40</volume>:<fpage>999</fpage>&#x2013;<lpage>1008</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s10067-020-05339-2</pub-id>
</citation>
</ref>
<ref id="B44">
<label>44</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Thuner</surname> <given-names>J</given-names>
</name>
<name>
<surname>Coutant</surname> <given-names>F</given-names>
</name>
</person-group>. <article-title>IFN-&#x3b3;: An overlooked cytokine in dermatomyositis with anti-MDA5 antibodies</article-title>. <source>Autoimmun Rev</source>. (<year>2023</year>) <volume>22</volume>:<fpage>103420</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.autrev.2023.103420</pub-id>
</citation>
</ref>
<ref id="B45">
<label>45</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ishikawa</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Iwata</surname> <given-names>S</given-names>
</name>
<name>
<surname>Hanami</surname> <given-names>K</given-names>
</name>
<name>
<surname>Nawata</surname> <given-names>A</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>M</given-names>
</name>
<name>
<surname>Yamagata</surname> <given-names>K</given-names>
</name>
<etal/>
</person-group>. <article-title>Relevance of interferon-gamma in pathogenesis of life-threatening rapidly progressive interstitial lung disease in patients with dermatomyositis</article-title>. <source>Arthritis Res Ther</source>. (<year>2018</year>) <volume>20</volume>:<fpage>240</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/s13075-018-1737-2</pub-id>
</citation>
</ref>
<ref id="B46">
<label>46</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Deng</surname> <given-names>X</given-names>
</name>
<name>
<surname>Terunuma</surname> <given-names>H</given-names>
</name>
<name>
<surname>Nieda</surname> <given-names>M</given-names>
</name>
</person-group>. <article-title>Exploring the utility of NK cells in COVID-19</article-title>. <source>Biomedicines</source>. (<year>2022</year>) <volume>10</volume>:<fpage>1002</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/biomedicines10051002</pub-id>
</citation>
</ref>
<ref id="B47">
<label>47</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Matsushita</surname> <given-names>T</given-names>
</name>
<name>
<surname>Mizumaki</surname> <given-names>K</given-names>
</name>
<name>
<surname>Kano</surname> <given-names>M</given-names>
</name>
<name>
<surname>Yagi</surname> <given-names>N</given-names>
</name>
<name>
<surname>Tennichi</surname> <given-names>M</given-names>
</name>
<name>
<surname>Takeuchi</surname> <given-names>A</given-names>
</name>
<etal/>
</person-group>. <article-title>Antimelanoma differentiation-associated protein 5 antibody level is a novel tool for monitoring disease activity in rapidly progressive interstitial lung disease with dermatomyositis</article-title>. <source>Br J Dermatol</source>. (<year>2017</year>) <volume>176</volume>:<fpage>395</fpage>&#x2013;<lpage>402</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/bjd.14882</pub-id>
</citation>
</ref>
<ref id="B48">
<label>48</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hu</surname> <given-names>C</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>C</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>E</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>H</given-names>
</name>
<name>
<surname>Xu</surname> <given-names>D</given-names>
</name>
<name>
<surname>Hou</surname> <given-names>Y</given-names>
</name>
<etal/>
</person-group>. <article-title>Serum KL-6 is associated with the severity of interstitial lung disease in Chinese patients with polymyositis and dermatomyositis</article-title>. <source>Clin Rheumatol</source>. (<year>2019</year>) <volume>38</volume>:<page-range>2181&#x2013;7</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s10067-019-04501-9</pub-id>
</citation>
</ref>
<ref id="B49">
<label>49</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gono</surname> <given-names>T</given-names>
</name>
<name>
<surname>Kawaguchi</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Satoh</surname> <given-names>T</given-names>
</name>
<name>
<surname>Kuwana</surname> <given-names>M</given-names>
</name>
<name>
<surname>Katsumata</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Takagi</surname> <given-names>K</given-names>
</name>
<etal/>
</person-group>. <article-title>Clinical manifestation and prognostic factor in anti-melanoma differentiation-associated gene 5 antibody-associated interstitial lung disease as a complication of dermatomyositis</article-title>. <source>Rheumatol (Oxford)</source>. (<year>2010</year>) <volume>49</volume>:<page-range>1713&#x2013;9</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/rheumatology/keq149</pub-id>
</citation>
</ref>
<ref id="B50">
<label>50</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ito</surname> <given-names>M</given-names>
</name>
<name>
<surname>Kaise</surname> <given-names>S</given-names>
</name>
<name>
<surname>Suzuki</surname> <given-names>S</given-names>
</name>
<name>
<surname>Kazuta</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Sato</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Miyata</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Clinico-laboratory characteristics of patients with dermatomyositis accompanied by rapidly progressive interstitial lung disease</article-title>. <source>Clin Rheumatol</source>. (<year>1999</year>) <volume>18</volume>:<page-range>462&#x2013;7</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s100670050139</pub-id>
</citation>
</ref>
<ref id="B51">
<label>51</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Dalakas</surname> <given-names>MC</given-names>
</name>
<name>
<surname>Hohlfeld</surname> <given-names>R</given-names>
</name>
</person-group>. <article-title>Polymyositis and dermatomyositis</article-title>. <source>Lancet</source>. (<year>2003</year>) <volume>362</volume>:<page-range>971&#x2013;82</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/S0140-6736(03)14368-1</pub-id>
</citation>
</ref>
<ref id="B52">
<label>52</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhang</surname> <given-names>L</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>G</given-names>
</name>
<name>
<surname>Gao</surname> <given-names>D</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>G</given-names>
</name>
<name>
<surname>Pan</surname> <given-names>L</given-names>
</name>
<name>
<surname>Ni</surname> <given-names>L</given-names>
</name>
<etal/>
</person-group>. <article-title>Factors associated with interstitial lung disease in patients with polymyositis and dermatomyositis: A systematic review and meta-analysis</article-title>. <source>PloS One</source>. (<year>2016</year>) <volume>11</volume>:<elocation-id>e0155381</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1371/journal.pone.0155381</pub-id>
</citation>
</ref>
<ref id="B53">
<label>53</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Li</surname> <given-names>M</given-names>
</name>
<name>
<surname>Yan</surname> <given-names>S</given-names>
</name>
<name>
<surname>Dong</surname> <given-names>R</given-names>
</name>
<name>
<surname>Xiang</surname> <given-names>W</given-names>
</name>
<name>
<surname>Ma</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>Q</given-names>
</name>
</person-group>. <article-title>Elevated platelet-to-lymphocyte ratio and neutrophil-to-lymphocyte ratio in patients with polymyositis/dermatomyositis: a retrospective study</article-title>. <source>Clin Rheumatol</source>. (<year>2023</year>) <volume>42</volume>:<page-range>1615&#x2013;24</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s10067-023-06542-7</pub-id>
</citation>
</ref>
<ref id="B54">
<label>54</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lian</surname> <given-names>X</given-names>
</name>
<name>
<surname>Zou</surname> <given-names>J</given-names>
</name>
<name>
<surname>Guo</surname> <given-names>Q</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>S</given-names>
</name>
<name>
<surname>Lu</surname> <given-names>L</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>R</given-names>
</name>
<etal/>
</person-group>. <article-title>Mortality risk prediction in Amyopathic dermatomyositis associated with interstitial lung disease: the FLAIR model</article-title>. <source>Chest</source>. (<year>2020</year>) <volume>158</volume>:<page-range>1535&#x2013;45</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.chest.2020.04.057</pub-id>
</citation>
</ref>
<ref id="B55">
<label>55</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jiang</surname> <given-names>W</given-names>
</name>
<name>
<surname>Shi</surname> <given-names>J</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>H</given-names>
</name>
<name>
<surname>Tian</surname> <given-names>X</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>H</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>Q</given-names>
</name>
<etal/>
</person-group>. <article-title>Long-term outcomes and prognosis factors in patients with idiopathic inflammatory myopathies based on myositis-specific autoantibodies: a single cohort study</article-title>. <source>Arthritis Care Res (Hoboken)</source>. (<year>2023</year>) <volume>75</volume>:<page-range>1175&#x2013;82</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/acr.24993</pub-id>
</citation>
</ref>
<ref id="B56">
<label>56</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lu</surname> <given-names>X</given-names>
</name>
<name>
<surname>Peng</surname> <given-names>Q</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>G</given-names>
</name>
</person-group>. <article-title>Anti-MDA5 antibody-positive dermatomyositis: pathogenesis and clinical progress</article-title>. <source>Nat Rev Rheumatol</source>. (<year>2023</year>) <volume>20</volume>:<page-range>48&#x2013;62</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41584-023-01054-9</pub-id>
</citation>
</ref>
<ref id="B57">
<label>57</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Arase</surname> <given-names>N</given-names>
</name>
<name>
<surname>Tsuji</surname> <given-names>H</given-names>
</name>
<name>
<surname>Takamatsu</surname> <given-names>H</given-names>
</name>
<name>
<surname>Jin</surname> <given-names>H</given-names>
</name>
<name>
<surname>Konaka</surname> <given-names>H</given-names>
</name>
<name>
<surname>Hamaguchi</surname> <given-names>Y</given-names>
</name>
<etal/>
</person-group>. <article-title>Cell surface-expressed Ro52/IgG/HLA-DR complex is targeted by autoantibodies in patients with inflammatory myopathies</article-title>. <source>J Autoimmun</source>. (<year>2022</year>) <volume>126</volume>:<fpage>102774</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jaut.2021.102774</pub-id>
</citation>
</ref>
<ref id="B58">
<label>58</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gianchecchi</surname> <given-names>E</given-names>
</name>
<name>
<surname>Delfino</surname> <given-names>DV</given-names>
</name>
<name>
<surname>Fierabracci</surname> <given-names>A</given-names>
</name>
</person-group>. <article-title>NK cells in autoimmune diseases: Linking innate and adaptive immune responses</article-title>. <source>Autoimmun Rev</source>. (<year>2018</year>) <volume>17</volume>:<page-range>142&#x2013;54</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.autrev.2017.11.018</pub-id>
</citation>
</ref>
</ref-list>
</back>
</article>