Unveiling the clinical and proteomic spectrum of relapsing polychondritis with respiratory involvement - Summary - MDSpire

Exploring the Clinical Features and Proteomic Profile of Relapsing Polychondritis with Respiratory Complications

  • By

  • Xia Fang

  • Ximing Liao

  • Wei Gao

  • Wei Pei

  • Wujian Xu

  • Yuanyuan Wang

  • Yin Wu

  • Rongzhang Chen

  • Jiajun Ding

  • Muyun Wang

  • Xingyan Zhu

  • Heng Zhang

  • Dan-ni Ren

  • Qiang Li

  • Shaoyong Gao

  • July 17, 2026

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Objective:

To analyze the clinical features and proteomic profiles of patients with relapsing polychondritis (RP) and respiratory involvement.

Approach:
  • Patient Enrollment: Seventy-seven RP patients with respiratory involvement were enrolled, and their clinical characteristics were systematically analyzed.
  • Latent Class Analysis: Latent class analysis (LCA) was used to classify patients based on bronchoscopic findings.
  • Proteomic Analysis: Proteomic techniques were applied to detect proteins in the serum of healthy controls and RP patients.
Key Findings:
  • Patients with initial respiratory involvement were less likely to have ear chondritis (14.29% vs 42.86%, p = 0.005), nasal chondritis (24.48% vs 46.43%, p = 0.048), and ocular involvement (16.33% vs 39.29%, p = 0.025).
  • Three subgroups of patients were identified based on bronchoscopic manifestations, with varying degrees of airway damage.
  • Patients in groups one and two are defined by cartilage damage of the central airway, with or without peripheral airway involvement, and require more non-invasive ventilation.
  • Patients in group three are defined by cartilage damage of the entire airway, with a high frequency of ICU admission (p = 0.003), tracheostomy (p <0.001), and rescue (p = 0.001).
  • Differentially expressed proteins related to complement and neutrophil extracellular trap formation may be involved in the pathogenesis of respiratory-involved RP.
Interpretation:

Clinical manifestations of respiratory-involved RP are nonspecific, and recognition of imaging and bronchoscopic features can facilitate the diagnosis.

Limitations:
  • The study was retrospective and may have selection bias.
  • The sample size for proteomic analysis was limited to 35 patients.
Conclusion:

Stratification based on airway involvement patterns may provide insights into the pathogenesis of respiratory-involved RP.

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