The diagnostic and prognostic value of a line immunoblot assay in Taiwanese patients with systemic sclerosis

Tsai Hung Yen, Jun Peng Chen, Tsu Yi Hsieh, Wei Ting Hung, Kuo Lung Lai, Chia Wei Hsieh, Hsin Hua Chen, Wen Nan Huang, Yi Hsing Chen, Yi Ming Chen*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Background and aims: We aimed to evaluate the diagnostic performance and prognostic value of disease-specific antibodies and anti-Ro52 using a commercial line immunoblot assay (LIA) in Taiwanese patients with systemic sclerosis (SSc). Materials and methods: We retrospectively enrolled all individuals at the Taichung Veterans General Hospital. We evaluated the diagnostic performance of LIA, anti-nuclear antibody (ANA) by indirect immunofluorescence (IIF) and also the association between the autoantibodies and the clinical phenotype using multivariable logistic regression. Results: The LIA exhibited a sensitivity of 65.4% and a specificity of 65.4%, at the optimal cutoff values of 2 + signal intensity. By taking the result of ANA into consideration, the optimal cutoff point was redefined as 1+. We observed a higher risk of diffuse cutaneous SSc (dcSSc) in those with negative autoantibodies, positive anti-Scl-70, anti-RNA polymerase III, and anti-Ro-52. Interstitial lung disease (ILD) was associated with negative autoantibodies, as well as positive anti-Scl-70 and anti-Ro52. Anti-Ro52 positivity was also associated with pulmonary arterial hypertension (PAH) and gastrointestinal tract involvement. Conclusion: The presence of anti-Ro52 or the absence of SSc-specific autoantibodies may potentially indicate advanced diseases in patients with SSc. The incorporation of both IIF and LIA testing may improve the diagnostic specificity of SSc.

Original languageEnglish
Article number117457
JournalClinica Chimica Acta
Volume547
DOIs
StatePublished - 1 Jul 2023

Keywords

  • Anti-Ro52
  • Autoantibody
  • Immunoblot
  • Interstitial lung disease
  • Pulmonary arterial hypertension
  • Systemic sclerosis

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