Systemic sclerosis & Raynaud's

High-throughput plasma proteomics reveals circulating biomarkers of interstitial lung disease and progressive pulmonary fibrosis in systemic sclerosis

Ann Rheum DisPublished Biomarker discovery and validation study

Authors' conclusion

SP-D and MMP-8 emerge as candidate biomarkers for diagnosing SSc-ILD and predicting SSc-PPF, respectively.

Study context

Population
Patients with SSc from 3 centres (Paris, Bordeaux, Leeds)discovery n = 45
Participants
202 patients
Comparison
SSc-ILD vs SSc-NoILD; SSc-PPF vs SSc-NoPPF
Outcome
Plasma biomarkers associated with SSc-ILD and SSc-PPF
Methodological detailsmass spectrometry-based proteomics, discovery and replication cohorts, multicentre
  • Mass spectrometry-based proteomics
  • Discovery and replication cohorts
  • Multicentre

Performance

As reported in the abstract

Test or modelValueBiomarker
SSc-ILD17.36 ± 11.99 ng/mLSurfactant protein D (SP-D)
SSc-NoILD9.49 ± 7.92 ng/mLSP-D
SSc-PPF17.67 ± 12.45 ng/mLMMP-8
SSc-NoPPF10.77 ± 10.92 ng/mLMMP-8

Value

SSc-ILD17.36 ± 11.99 ng/mL
SSc-NoILD9.49 ± 7.92 ng/mL
SSc-PPF17.67 ± 12.45 ng/mL
SSc-NoPPF10.77 ± 10.92 ng/mL

Biomarker

SSc-ILDSP-D
SSc-NoILDSP-D
SSc-PPFMMP-8
SSc-NoPPFMMP-8
  • SSc-ILD vs SSc-NoILD: P < 0.0001 — SP-D
  • SSc-PPF vs SSc-NoPPF: P < 0.001 — MMP-8

Further findings

Proteomic discovery

Proteins quantified
1507
Proteins associated with SSc-ILD
44
Proteins associated with SSc-PPF
51
Candidates progressed to enzyme-linked immunosorbent assay (ELISA) validation; SP-D and MMP-8 replicated
5

MMP-8 prognostic value for PPF, external cohort (Tokyo and Milan)

Cohort size
113
Prognostic value replicated
Combined analyses: MMP-8 independently predicted SSc-PPF and improved performance added to clinical variables

Original publication

High-throughput plasma proteomics reveals circulating biomarkers of interstitial lung disease and progressive pulmonary fibrosis in systemic sclerosis. Ann Rheum Dis. Published 23 July 2026. doi:10.1016/j.ard.2026.06.037

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