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October 17, 2025Immunity Inflammation and Disease2 citationsOpen Access

Serum Levels of 54 Cytokines and Chemokines Reveal Distinct Inflammatory Signatures in Ankylosing Spondylitis

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LLLan LuoTWTing WangMLMingze Li

Key Points

  • AS patients exhibited higher serum levels of 12 cytokines compared to healthy controls, suggesting significant immune activity.
  • Heatmap clustering and PCA effectively distinguished AS patients from healthy participants, highlighting unique inflammatory profiles.
  • ROC curve analysis demonstrated IP-10/CXCL10 as a promising diagnostic biomarker for AS, with top AUC of 1.00.
  • Findings imply coordinated inflammatory pathways and suggest new therapeutic targets related to cytokine imbalances.

Abstract

ABSTRACT 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.

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Cite This Study

Luo et al. (2025) studied this question.

synapsesocial.com/papers/68f199d1de32064e504dd579https://doi.org/10.1002/iid3.70276
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