To comprehensively characterize clinical features, diagnostic challenges, and prognostic biomarkers of anti-MDA5 antibody-positive dermatomyositis (MDA5-DM), incorporating transcriptomic analysis to elucidate underlying molecular mechanisms. We conducted a retrospective analysis of 29 MDA5-DM patients, collecting detailed clinical and laboratory data. Prognostic factors were identified using LASSO regression, validated by Cox proportional hazards and Kaplan-Meier survival analyses. Public transcriptomic dataset (GSE143323) was analyzed to identify differentially expressed genes and enriched immune pathways. Patients exhibited a high misdiagnosis rate (62.1%) and prevalent interstitial lung disease (96.6%), with 41.4% developing rapidly progressive ILD (RP-ILD). Serum KL-6 level emerged as an independent predictor of mortality (HR=2.96, p<0.01). Transcriptomic profiling revealed upregulation of IL-17, Toll-like receptor, and cytokine-receptor interaction pathways. MDA5-DM presents formidable diagnostic challenges with high misdiagnosis rates and substantial mortality risk predominantly driven by RP-ILD. Serum KL-6 represents a robust, clinically applicable prognostic biomarker warranting integration into risk stratification protocols. Transcriptomic findings illuminate critical immune-inflammatory cascades, particularly cytokine networks and IL-17 signaling, offering mechanistic insights and potential therapeutic targets. Future multicenter prospective studies are essential to validate these biomarker findings and develop composite prognostic models incorporating clinical, radiographic, and molecular parameters.
Ren et al. (Fri,) studied this question.
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