Alopecia areata is a chronic autoimmune disorder characterized by non-scarring hair loss caused by immune-mediated disruption of the hair follicle. In addition to immune dysregulation, alterations in the extracellular matrix (ECM) are increasingly recognized as important contributors to follicular instability and impaired hair regeneration.
Despite recent advances, several unmet needs remain in alopecia areata. Biomarkers may help improve assessment of disease activity and progression, identify distinct disease subtypes, and support patient stratification and treatment selection. In addition, biomarkers could facilitate the development of more targeted therapeutic approaches.
Current treatment selection in alopecia areata is largely guided by clinical assessment and physician experience, as reliable predictive biomarkers for treatment response remain limited. Given the variability in disease course and treatment outcomes, biomarkers may support a more personalized and targeted approach to patient management.

