Sjögren's disease & overlap diseases

Machine learning–driven immunophenotypic stratification of mixed connective tissue disease, corroborating the clinical heterogeneity

Rheumatology (Oxford)Published Cross-sectional study

Authors' conclusion

This study describes the stratification of MCTD patients, based on immunophenotyping, suggesting the presence of distinct immunological processes behind the clinical subtypes of MCTD.

Study context

Population
Patients with MCTD, SLE, idiopathic inflammatory myopathy (IIM) and SSc from the ImmuNexUT functional genome database; 24 immune cell subsets analysed22 with MCTD
Participants
215 patients
Exposure
MCTD with SLE immunophenotype vs MCTD with non-SLE immunophenotype
  • SLE immunophenotypen = 16
  • Non-SLE immunophenotypen = 6reference
Outcome
Immunophenotype-based stratification of MCTD patients
Methodological detailsmachine-learning classification (including Random Forest), immunophenotyping and transcriptome analysis, gene set variation analysis (GSVA)
  • Machine-learning classification (including Random Forest)
  • Immunophenotyping and transcriptome analysis
  • GSVA

Main finding

As reported in the abstract

Classification of MCTD patients by immunophenotype

SLE immunophenotype

16

events

Non-SLE immunophenotype

6

events

Observational data: associations, not effects.

Further findings

OutcomeSLE immunophenotypeNon-SLE immunophenotypeP value
Proportion of Th1 cells2.85% (IQR 1.54–3.91)1.33% (IQR 0.99–1.74)P = 0.027
Proportion of plasmablasts6.35% (IQR 4.17–17.49)2.00% (IQR 1.20–2.80)P = 0.010
Number of SLE-related symptoms2.0 (IQR 1.0–2.0)1.0 (IQR 1.0–1.0)P = 0.038

GSVA scores (transcriptome)

IFN-α and -γ responses significantly higher with SLE immunophenotype in central memory CD8+ T cells
Hedgehog signalling higher with non-SLE immunophenotype in five cell subsets

Original publication

Machine learning–driven immunophenotypic stratification of mixed connective tissue disease, corroborating the clinical heterogeneity. Rheumatology (Oxford). Published 13 March 2024. doi:10.1093/rheumatology/keae158

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