Serum levels of interleukins and S100A8/A9 correlate with clinical severity in patients with dermatomyositis-associated interstitial lung disease

Lou, Yueyan; Zheng, Yu; Fan, Bijun; Zhang, Liyan; Zhu, Feng; Wang, Xiaodong; Chen, Zhiwei; Tan, Xiaoming; Wei, Qing

doi:10.1186/s12890-020-01226-3

Cited by 20 publications

(16 citation statements)

References 42 publications

(41 reference statements)

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“…Our data suggest that IL-6 was lower in IIM-ILD patients who did not present RP-ILD. There have been many studies on the relationship between IL-6 and IIM; serum IL-6 and immune cell expressions of IL-6 were increased in IIM patients than healthy people [ 31 , 32 ]. Therefore, instead of simply comparing IL-6 with healthy individuals, we specifically studied IL-6 in RP-ILD.…”

Section: Discussionmentioning

confidence: 99%

Promising Neutrophil-Associated Biomarkers in Lung Diseases of Patients with Antisynthetase Syndrome and Dermatomyositis

Liu

Wang

Zhang

et al. 2022

Journal of Immunology Research

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Objectives. Antisynthetase syndrome (ASS) and dermatomyositis (DM) are serious autoimmune diseases, with lungs being the most frequently involved organ and sometimes fatal. This study is aimed at clarifying the role of neutrophil-associated biological markers in suggesting ASS and DM-associated respiratory infections and interstitial lung diseases. Methods. We carried out a retrospective review of the medical records of 46 cases of ASS and DM diagnosed at the Second Hospital of Zhejiang University College of Medicine, between January 2017 and December 2020. Serum myeloperoxidase (MPO), neutrophil elastase (NE), α1 anti-trypsin (AAT), and interleukin-6 (IL-6) were also detected. Results. Gottron’s sign is characteristic of dermatomyositis, while polyarthritis is more characteristic of ASS. Pulmonary function is worse in ASS than in DM patients. Patients with ASS and DM had abnormal lymphocyte and neutrophil counts compared to healthy subjects, but not in relation to lung function and rapid progression of interstitial lung disease (RP-ILD). Elevated serum NE, MPO, and IL-6 levels are suggestive of respiratory infections, whereas decreased circulating IL-6 is predictive of RP-ILD. Conclusion. Our study identified the neutrophil-associated biomarkers MPO, NE, and IL-6 as promising indicators with different suggestive roles in respiratory infections and interstitial lung diseases in patients with ASS and DM.

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Section: Discussionmentioning

confidence: 99%

Promising Neutrophil-Associated Biomarkers in Lung Diseases of Patients with Antisynthetase Syndrome and Dermatomyositis

Liu

Wang

Zhang

et al. 2022

Journal of Immunology Research

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“…Recent studies reported that MMP9 [133], S100A12 [172], IGF2 [173], GPR84 [174], SOCS3 [175], IGFBP2 [176], HP (haptoglobin) [177], MMP8 [178], OSM (oncostatin M) [179], TLR5 [180], S100A9 [181], PLIN5 [182], NRG1 [183], LCN2 [184], TSPO (translocator protein) [185], PLAU (plasminogen activator, urokinase) [186], PPBP (pro-platelet basic protein) [187], UPP1 [188], ALOX5 [189], IL1RN [190], CYP1B1 [191], DGAT2 [192], MSRA (methionine sulfoxidereductase A) [193], ADAM9 [194], CPEB4 [195], IRS2 [196], FADS2 [197], SLC22A4 [198], PFKFB3 [199], CTSD (cathepsin D) [200], ADAM12 [201], CD80 [202], ERBB2 [203], FASLG (Fas ligand) [204], CNR2 [205], SOCS2 [206], ABCB1 [207], CD74 [208], FCRL3 [209], PARP1 [210], TXNIP (thioredoxin interacting protein) [211], TULP3 [212], HSPA8 [213], TNIK (TRAF2 and NCK interacting kinase) [214], PDCD4 [215] and USP11 [216] are altered expression in the liver diseases. MMP9 [217], S100A12 [218], CBS (cystathionine beta-synthase) [219], SOCS3 [220], IGFBP2 [221], MMP8 [222], OSM (oncostatin M) [223], TLR5 [224], S100A8 [225], PDE6H [226], CEBPB (CCAAT enhancer binding protein beta) [227], PLAU (plasminogen activator, urokinase) [228], BCL6 [229], CD55 [230], ADAMDEC1 [231], LTBP2 [232], TGFA (transforming growth factor alpha) [233], IL1RN [234], ALDH1A2 [235], PLXNC1 [236], MSRA (methionine sulfoxidereductase A) [237], TLR4 [238], SIGLEC9 [239], CPEB4 [240], IL17RA […”

Section: Discussionmentioning

confidence: 99%

Identification of Key Genes and Underlying Mechanisms in Cystic Fibrosis and its Associated Complications Based on Bioinformatics Analysis of Next Generation Sequencing Data Analysis

Vastrad¹,

Vastrad²

2022

Preprint

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Cystic fibrosis (CF) is one of the inherited autosomal recessive disorders with very complicated pathogenesis. Identifying the molecular signatures and specific biomarkers of CF might provide novel clues for CF and and CF associated complications prognosis and targeted therapy. Based on the nexgeneration sequencing (NGS) dataset GSE136371 downloaded from the Gene Expression Omnibus (GEO) database, the differentially expressed genes (DEGs) between CF samples and normal controls were identified by using DESeq2 bioconductor package of R software. Gene ontology (GO) and REACTOME pathway enrichment analyses were applied for the DEGs. Then protein-protein interaction (PPI) network of these DEGs was visualized by Cytoscape with IMEx interactome database. The most significant module from the PPI network was selected for GO and pathway enrichment analysis. Subsequently, a miRNA-hub gene regulatory network and TF-hub gene regulatory network were constructed to identify hub genes, miRNAs and TFs. Finally, receiver operating characteristic curve (ROC) analysis was established to validate these hub genes. Total of 917 DEGs were identified between CF and normal control samples in GSE136371 dataset, including 479 up regulated and 438 down regulated genes. The most enriched DEGs in GO and pathway enrichment analysis were mainly associated with response to stimulus, regulation of cellular process, Neutrophil degranulation and rRNA processing. PPI network, module analysis, miRNA-hub gene regulatory network and TF-hub gene regulatory network predicted ten hub genes (FN1, UBE2D1, SRPK1, MAPK14, CEBPB, HSP90AB1, HSPA8, XRCC6, NCL and PARP1). In conclusion, the DEGs, relative pathways and hub genes identified in the present study might aid in understanding of the molecular mechanisms underlying CF and CF associated complications progression and provide potential molecular targets and biomarkers for CF and CF associated complications.

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“…In this study, serum levels of IL-4, IL-6, IL-10, TNF-α, as well as IFN-γ were observed elevated in IIM patients who were later diagnosed with sHLH. However, we cannot ignore that IIM patients had a profound immunological abnormality background and were frequently complicated with infection, ILD, and RP-ILD ( 40 – 43 ). Serum cytokines included in this study could also be affected by IIM itself as well as its complications.…”

Section: Discussionmentioning

confidence: 99%

Clinical Value of 18F-FDG PET/CT Scan and Cytokine Profiles in Secondary Hemophagocytic Lymphohistiocytosis in Idiopathic Inflammatory Myopathy Patients: A Pilot Study

Liang

Liu

et al. 2021

Front. Immunol.

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BackgroundSecondary hemophagocytic lymphohistiocytosis (sHLH) is a rare but fatal complication in idiopathic inflammatory myopathy (IIM) patients. The clinical value of radiological manifestations and serum cytokines remain unknown in this systemic crisis. This study aims to investigate the clinical value of PET/CT scan and cytokine profiles in predicting and understanding sHLH in IIM patients.MethodsAdult IIM patients who were admitted to the four divisions of the First Affiliated Hospital, Zhejiang University School of Medicine (FAHZJU) from January 1, 2017 to December 31, 2020 were reviewed. PET/CT scan, cytokine profiles, and other factors of patients who met the inclusion and exclusion criteria were collected and analyzed.ResultsSixty-nine out of 352 IIM patients were finally enrolled into the study. Ten patients developed sHLH and 70.0% of them died within 6 months. After false discovery rate (FDR) correction and multivariate logistic regression analysis, increased serum interferon (IFN)-γ level (p = 0.017), higher spleen mean standard uptake value (SUVmean, p = 0.035), and positivity of anti-MDA5 antibody (p = 0.049) were found to be significantly correlated with development of sHLH in IIM patients. The combination of serum IFN-γ, spleen SUVmean, and anti-MDA5 antibody found a balanced and satisfying predictor with a cutoff value of 0.047 and AUC of 0.946. A moderate correlation was identified between ferritin and spleen SUVmean (p = 0.001, r = 0.380) as well as serum IFN-γ(p = 0.001, r = 0.398). Before FDR correction, higher bilateral lung SUVmean (p = 0.034) and higher colon/rectum SUVmean (p = 0.013) were also observed in IIM patients who developed sHLH. By narrowing down to IIM patients with sHLH, anti-MDA5-antibody-positive DM patients tended to suffer from unfavorable outcome (p = 0.004) in Kaplan–Meier survival analysis.ConclusionIncreased serum level of IFN-γ, elevated splenic FDG uptake, and positivity of anti-MDA5 antibody were significantly correlated with development of sHLH in IIM patients. Lung and lower digestive tract might also be affected due to systemic immune activation in IIM patients with sHLH. In addition, splenic FDG uptake, in combination with serum IFN-γand anti-MDA5 antibody, was found valuable in predicting development of sHLH in IIM patients. Among IIM patients with sHLH, anti-MDA5-antibody-positive DM patients showed higher tendency for unfavorable outcome.

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Serum levels of interleukins and S100A8/A9 correlate with clinical severity in patients with dermatomyositis-associated interstitial lung disease

Cited by 20 publications

References 42 publications

Promising Neutrophil-Associated Biomarkers in Lung Diseases of Patients with Antisynthetase Syndrome and Dermatomyositis

Promising Neutrophil-Associated Biomarkers in Lung Diseases of Patients with Antisynthetase Syndrome and Dermatomyositis

Identification of Key Genes and Underlying Mechanisms in Cystic Fibrosis and its Associated Complications Based on Bioinformatics Analysis of Next Generation Sequencing Data Analysis

Clinical Value of 18F-FDG PET/CT Scan and Cytokine Profiles in Secondary Hemophagocytic Lymphohistiocytosis in Idiopathic Inflammatory Myopathy Patients: A Pilot Study

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