Correlation of serum citrullinated histone H3 levels with disease activity in patients with rheumatoid arthritis

Wanchan Peng1, Siyu Wu1, Wei Wang2

  • 1Department of Clinical Laboratory, Xiangya Hospital, Central South University, Changsha, Hunan, China.

Insights

Serum citrullinated histone H3 (CitH3) is a promising biomarker for rheumatoid arthritis (RA) disease activity. Elevated CitH3 levels correlate with RA activity, aiding in patient assessment.

Area of Science:

  • Immunology
  • Rheumatology
  • Biomarker Discovery

Background:

  • Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by joint inflammation and potential systemic complications.
  • Accurate assessment of RA disease activity is crucial for effective treatment and patient management.
  • Novel biomarkers are needed to improve the monitoring of RA progression and treatment response.

Purpose of the Study:

  • To investigate serum citrullinated histone H3 (CitH3) levels in rheumatoid arthritis (RA) patients.
  • To explore the association between CitH3 levels and various disease activity parameters in RA.
  • To evaluate the potential of CitH3 as a biomarker for RA disease activity assessment.

Main Methods:

  • Serum CitH3 levels were quantified using enzyme-linked immunosorbent assay (ELISA) in 151 RA patients across different disease activity states and 56 healthy controls.
  • Receiver operating characteristic (ROC) curve analysis was employed to determine the discriminant capacity of CitH3.
  • Machine learning algorithms were utilized to develop a predictive model for RA disease activity.

Main Results:

  • Serum CitH3 concentrations were significantly higher in patients with highly and moderately active RA compared to those with mild activity or in remission.
  • ROC analysis demonstrated good discriminatory power of CitH3 for differentiating RA disease activity levels.
  • CitH3 levels showed positive correlations with established RA activity markers like DAS28-ESR, ESR, CRP, RF, and routine blood parameters (WBC, RDW, PLT, N, N%).
  • Negative associations were observed between CitH3 and hemoglobin, lymphocyte percentage, and TSH.
  • The developed machine learning model exhibited high predictive performance.

Conclusions:

  • Serum CitH3 is significantly associated with rheumatoid arthritis disease activity.
  • CitH3 demonstrates potential as a valuable candidate biomarker for assessing disease activity in RA patients.
  • Further validation may establish CitH3 as a routine clinical tool for RA management.
Abstract

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