Atopic dermatitis (AD) is a persistent inflammatory skin condition that impacts individuals of various age groups, including both children and adults. Its pathophysiology involves allergens penetrating a disrupted epidermal barrier, triggering the dermal cells to produce pro-inflammatory cytokines and eliciting a T-cell-mediated immune response. Notably, interleukins (ILs), particularly interleukin 4 (IL-4) and interleukin 13 (IL-13), play a key role in AD pathogenesis. Therapies directed at inflammatory mechanisms, including Dupilumab, have demonstrated notable effectiveness in enhancing skin lesions, alleviating subjective symptoms, and improving the overall quality of life for individuals with AD. Despite therapeutic advances, assessing AD severity remains challenging. The commonly used tools, such as the SCORAD and DLQI scores, rely on subjective patient responses. Paraclinically, the search for universal biomarkers continues, with efforts to identify reliable indicators reflecting disease severity and treatment response. Various biomarkers, including Th2-related chemokines and cytokines, have been explored, but none have gained universal recognition for routine clinical use. This study aims to investigate the dynamics of the plasma levels of IL-4 and IL-13 during Dupilumab treatment and establish correlations between these ILs and disease severity, as measured using the SCORAD and DLQI scores. The ultimate endpoint is to determine whether IL-4 and IL-13 can serve as reliable biomarkers, assessing their correlation with patient-reported feelings and disease activity and potentially influencing their inclusion or exclusion as diagnostic elements in routine clinical practice.