AI-Powered Atopic Dermatitis Assessment: Patients Can Contribute ➜ DOI: 10.1111/all.16586 This Japanese study developed an AI model to objectively assess the severity of atopic dermatitis (AD) using patient-uploaded photos from a real-world platform called “Atopiyo”. The AI model accurately detected body parts and eczema areas, correlating well with dermatologist-assessed severity scores. This technology offers a promising digital tool for remote monitoring and personalized management of AD.
Small punch biopsies and non-negative matrix factorization (NMF) to study AD transcriptome ➜ DOI: 10.1038/s41467-025-59340-x This Japanese cross-sectional and longitudinal cohort analysis of 951punch biopsy skin samples of AD patients compared with psoriasis biopsies, employing an unsupervised decomposition analysis (NMF) to link gene expression profiles to disease severity, six distinct skin lesional subtypes, and blood cytokines representative of lesional subtypes. They found that type 2 and type 17 responses are associated with erythema and induration, while type 1 response was upregulated in lichen amyloidosis lesions (a rare variant). Longitudinal analysis of patients treated with dupilumab found sustained gene signatures related to type 17 response in lesional skin and upregulated transcription factors in non-lesional skin of patients with poor dupilumab treatment outcomes. Lastly, several extracellular matrix organization-associated genes were correlated with clinical severity and treatment response to dupilumab.
An important role of IL-22 in Th2 driven acute AD in epidermal reconstructs models ➜ DOI: 10.1016/j.jaci.2025.05.007 The authors utilized human epidermal equivalents stimulated with T helper (Th)2, -17 and -22 cytokines. Th2 cytokines IL-4 and IL-13 were main inducers of a pro-inflammatory and hyperproliferative epidermis. The presence of Th2 + IL-22 cytokines most closely resembled AD hallmarks including spongiosis, more severe keratinocyte differentiation defects and epidermal barrier dysfunction. In addition, the transcriptomic comparison to in vivo AD lesional skin indicated that the Th2 + IL-22 AD model demonstrated greatest resemblance and identified AD disease marker genes altered by Th2 + IL-22 (downregulated ACER1 and AKR1C3). Gene expression levels were restored by combinatory exposure to aryl hydrocarbon receptor (AHR) ligand tapinarof and Janus Kinase (JAK) inhibitor tofacitinib.
Health-Related Quality of Life in AD and Psoriasis: Are There Distinct Psychological Traits? ➜ DOI: 10.2340/actadv.v105.42794 In this cross-sectional online survey, adult patients with AD (n = 155) or psoriasis (n = 246) provided data on features of their respective skin diseases, health behavior, and cardiometabolic comorbidities. While skin disease severity was overall the most important determinant of HRQoL, stress and anxiety were more important in AD, whereas depression was relevant in psoriasis.
Towards a scientific approach of traditional Chinese medicine formulas ➜ DOI: 10.3389/fphar.2025.1593783 Chinese medicine formulas are an important aspect of traditional Chinese medicine (TCM) and are formulated based on strict compatibility proportions guided by the TCM theory. The “Eczema mixture” (EM) which includes six kinds of Chinese medicinal materials for the treatment of AD was investigated by the UPCL-Q/TOF technology to analyze its chemical components and a total of 136 chemical compounds were identified. An artificial neural network was employed to identify the most active anti-inflammatory/allergic components. In the EM formula, Huangbai and Kushen were identified as the main botanical drugs with anti-inflammatory and anti-allergic roles.
