Exosomes and Extracellular Vesicles as Biomarkers in Dermatology and Systemic Inflammatory Diseases: Emerging Clinical Applications
Description
The dataset encompasses systematically extracted biomarker, clinical, and methodological data from 28 studies (2016-2025) evaluating exosomes and extracellular vesicles (EVs) across dermatologic and systemic inflammatory diseases, including melanoma, psoriasis, psoriatic arthritis, vitiligo, pemphigus vulgaris, oral lichen planus, chronic spontaneous urticaria, dermatomyositis/polymyositis, Behçet’s disease, atopic dermatitis, systemic lupus erythematosus, rheumatoid arthritis, and cutaneous squamous cell carcinoma. It integrates demographic characteristics, EV sources (plasma, serum, keratinocytes, fibroblasts), isolation and characterization techniques (ultracentrifugation, size-exclusion chromatography, polymer precipitation, microfluidics), and molecular cargo profiles spanning proteins, miRNAs, mRNAs, lipids, and circRNAs. Quantitative outputs include EV particle sizes, concentrations, canonical marker expression (CD9, CD63, CD81, TSG101), and diagnostic performance metrics such as ROC AUC, sensitivity, and specificity. The dataset also incorporates mechanistic insights (e.g., PD-L1/FasL–mediated immune evasion in melanoma, miR-625-3p correlating with PASI in psoriasis, miR-1469–NK cell axis in vitiligo, Plexin D1 in myositis) and treatment-response modulation following biologic or immunotherapeutic interventions. Additionally, it includes full MINORS methodological quality assessments for comparative and non-comparative studies, PRISMA screening data, and PICO-defined outcome structures, collectively providing a comprehensive, standardized resource supporting evidence synthesis and translational research on EV-based diagnostic and prognostic biomarkers.