Huan Li, Ting Wang, Mingze Li, Wei Su, Ying Lv, Jialing Xiao, Xiaoxin Guo, Kai Dong, Chengzi Gan, Jing Zhu, Bo Gong
{"title":"强直性脊柱炎患者血清54种细胞因子和趋化因子水平显示不同炎症特征。","authors":"Huan Li, Ting Wang, Mingze Li, Wei Su, Ying Lv, Jialing Xiao, Xiaoxin Guo, Kai Dong, Chengzi Gan, Jing Zhu, Bo Gong","doi":"10.1002/iid3.70276","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>Ankylosing spondylitis (AS) is a chronic autoimmune inflammatory disorder predominantly involving the axial skeleton. Understanding the cytokine and chemokine signatures in AS is crucial for elucidating disease mechanisms and identifying potential diagnostic biomarkers.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>Serum samples from 31 AS patients and 20 age-matched healthy controls (HCs) were analyzed. The concentrations of 54 cytokines, chemokines, and angiogenesis-related factors were measured using a Meso Scale Discovery (MSD) electrochemiluminescence immunoassay. Data analysis included statistical comparison of serum cytokine levels, heatmap clustering, principal component analysis (PCA), and receiver operating characteristic (ROC) curve analysis. Validation was performed using peripheral blood mononuclear cells (PBMCs) from SKG mice, a spontaneous animal model of AS, through quantitative real-time PCR.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Compared with HCs, AS patients showed significantly higher serum concentrations of 12 cytokines (TNF-α, TNF-β, IL-17A, IL-17D, VEGFA, ICAM1, SAA, IP-10/CXCL10, MIP-3α/CCL20, sFlt-1/VEGFR-1, CRP, and MCP-4/CCL13) and significantly lower concentrations of nine cytokines (IL-4, IL-8, IL-17C, MIP-1α/CCL3, eotaxin-3/CCL26, PlGF, VEGF-C, VEGF-D, and bFGF) (all <i>p</i> < 0.05). Heatmap clustering and PCA demonstrated a clear separation between AS patients and HCs. ROC curve analysis showed excellent diagnostic accuracy for IP-10/CXCL10 (AUC = 1.00), VEGF-D (AUC = 0.98), IL-17A (AUC = 0.87), TNF-α (AUC = 0.85), and ICAM1 (AUC = 0.84). Positive correlations were observed between IL-17A and MIP-3α/CCL20, and between VEGFA and sFlt-1, indicating coordinated inflammatory and angiogenic pathways. Validation experiments in SKG mice confirmed elevated IP-10/CXCL10 and reduced VEGF-D expression, supporting cross-species relevance.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>This study identified distinct cytokine and chemokine profiles in AS patients. IP-10/CXCL10 and VEGF-D emerged as promising diagnostic biomarkers with high discriminatory power. Several previously unreported immune mediators were also highlighted. These findings provide new insights into AS pathogenesis and suggest potential targets for future therapeutic interventions.</p>\n </section>\n </div>","PeriodicalId":13289,"journal":{"name":"Immunity, Inflammation and Disease","volume":"13 10","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2025-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12521873/pdf/","citationCount":"0","resultStr":"{\"title\":\"Serum Levels of 54 Cytokines and Chemokines Reveal Distinct Inflammatory Signatures in Ankylosing Spondylitis\",\"authors\":\"Huan Li, Ting Wang, Mingze Li, Wei Su, Ying Lv, Jialing Xiao, Xiaoxin Guo, Kai Dong, Chengzi Gan, Jing Zhu, Bo Gong\",\"doi\":\"10.1002/iid3.70276\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background</h3>\\n \\n <p>Ankylosing spondylitis (AS) is a chronic autoimmune inflammatory disorder predominantly involving the axial skeleton. Understanding the cytokine and chemokine signatures in AS is crucial for elucidating disease mechanisms and identifying potential diagnostic biomarkers.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>Serum samples from 31 AS patients and 20 age-matched healthy controls (HCs) were analyzed. The concentrations of 54 cytokines, chemokines, and angiogenesis-related factors were measured using a Meso Scale Discovery (MSD) electrochemiluminescence immunoassay. Data analysis included statistical comparison of serum cytokine levels, heatmap clustering, principal component analysis (PCA), and receiver operating characteristic (ROC) curve analysis. Validation was performed using peripheral blood mononuclear cells (PBMCs) from SKG mice, a spontaneous animal model of AS, through quantitative real-time PCR.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>Compared with HCs, AS patients showed significantly higher serum concentrations of 12 cytokines (TNF-α, TNF-β, IL-17A, IL-17D, VEGFA, ICAM1, SAA, IP-10/CXCL10, MIP-3α/CCL20, sFlt-1/VEGFR-1, CRP, and MCP-4/CCL13) and significantly lower concentrations of nine cytokines (IL-4, IL-8, IL-17C, MIP-1α/CCL3, eotaxin-3/CCL26, PlGF, VEGF-C, VEGF-D, and bFGF) (all <i>p</i> < 0.05). Heatmap clustering and PCA demonstrated a clear separation between AS patients and HCs. ROC curve analysis showed excellent diagnostic accuracy for IP-10/CXCL10 (AUC = 1.00), VEGF-D (AUC = 0.98), IL-17A (AUC = 0.87), TNF-α (AUC = 0.85), and ICAM1 (AUC = 0.84). Positive correlations were observed between IL-17A and MIP-3α/CCL20, and between VEGFA and sFlt-1, indicating coordinated inflammatory and angiogenic pathways. Validation experiments in SKG mice confirmed elevated IP-10/CXCL10 and reduced VEGF-D expression, supporting cross-species relevance.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusions</h3>\\n \\n <p>This study identified distinct cytokine and chemokine profiles in AS patients. IP-10/CXCL10 and VEGF-D emerged as promising diagnostic biomarkers with high discriminatory power. Several previously unreported immune mediators were also highlighted. These findings provide new insights into AS pathogenesis and suggest potential targets for future therapeutic interventions.</p>\\n </section>\\n </div>\",\"PeriodicalId\":13289,\"journal\":{\"name\":\"Immunity, Inflammation and Disease\",\"volume\":\"13 10\",\"pages\":\"\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2025-10-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12521873/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Immunity, Inflammation and Disease\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/iid3.70276\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"IMMUNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Immunity, Inflammation and Disease","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/iid3.70276","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"IMMUNOLOGY","Score":null,"Total":0}
Serum Levels of 54 Cytokines and Chemokines Reveal Distinct Inflammatory Signatures in Ankylosing Spondylitis
Background
Ankylosing spondylitis (AS) is a chronic autoimmune inflammatory disorder predominantly involving the axial skeleton. Understanding the cytokine and chemokine signatures in AS is crucial for elucidating disease mechanisms and identifying potential diagnostic biomarkers.
Methods
Serum samples from 31 AS patients and 20 age-matched healthy controls (HCs) were analyzed. The concentrations of 54 cytokines, chemokines, and angiogenesis-related factors were measured using a Meso Scale Discovery (MSD) electrochemiluminescence immunoassay. Data analysis included statistical comparison of serum cytokine levels, heatmap clustering, principal component analysis (PCA), and receiver operating characteristic (ROC) curve analysis. Validation was performed using peripheral blood mononuclear cells (PBMCs) from SKG mice, a spontaneous animal model of AS, through quantitative real-time PCR.
Results
Compared with HCs, AS patients showed significantly higher serum concentrations of 12 cytokines (TNF-α, TNF-β, IL-17A, IL-17D, VEGFA, ICAM1, SAA, IP-10/CXCL10, MIP-3α/CCL20, sFlt-1/VEGFR-1, CRP, and MCP-4/CCL13) and significantly lower concentrations of nine cytokines (IL-4, IL-8, IL-17C, MIP-1α/CCL3, eotaxin-3/CCL26, PlGF, VEGF-C, VEGF-D, and bFGF) (all p < 0.05). Heatmap clustering and PCA demonstrated a clear separation between AS patients and HCs. ROC curve analysis showed excellent diagnostic accuracy for IP-10/CXCL10 (AUC = 1.00), VEGF-D (AUC = 0.98), IL-17A (AUC = 0.87), TNF-α (AUC = 0.85), and ICAM1 (AUC = 0.84). Positive correlations were observed between IL-17A and MIP-3α/CCL20, and between VEGFA and sFlt-1, indicating coordinated inflammatory and angiogenic pathways. Validation experiments in SKG mice confirmed elevated IP-10/CXCL10 and reduced VEGF-D expression, supporting cross-species relevance.
Conclusions
This study identified distinct cytokine and chemokine profiles in AS patients. IP-10/CXCL10 and VEGF-D emerged as promising diagnostic biomarkers with high discriminatory power. Several previously unreported immune mediators were also highlighted. These findings provide new insights into AS pathogenesis and suggest potential targets for future therapeutic interventions.
期刊介绍:
Immunity, Inflammation and Disease is a peer-reviewed, open access, interdisciplinary journal providing rapid publication of research across the broad field of immunology. Immunity, Inflammation and Disease gives rapid consideration to papers in all areas of clinical and basic research. The journal is indexed in Medline and the Science Citation Index Expanded (part of Web of Science), among others. It welcomes original work that enhances the understanding of immunology in areas including:
• cellular and molecular immunology
• clinical immunology
• allergy
• immunochemistry
• immunogenetics
• immune signalling
• immune development
• imaging
• mathematical modelling
• autoimmunity
• transplantation immunology
• cancer immunology