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Background: The heterogeneous (endo)phenotypes of atopic dermatitis (AD) require precision medicine. Currently, systemic therapy is recommended to patients with an Eczema Area and Severity Index (EASI) ≥ 16. Previous studies have demonstrated an improved treatment response to the anti‐interleukin (IL)‐13 antibody tralokinumab in AD subgroups with elevated levels of the IL‐13‐related biomarkers dipeptidyl‐peptidase (DPP)‐4 and periostin. Methods: Herein, 373 AD patients aged ≥12 years were stratified by IL‐13$^{high}$, periostin$^{high}$ and DPP‐4$^{high}$ endotypes using cross‐sectional data from the ProRaD cohort Bonn. “High” was defined as >80th quantile of 47 non‐atopic controls. We analyzed endotype‐phenotype associations using machine‐learning gradient boosting compared to logistic regression. Results: Atopic dermatitis severity and eosinophils correlated with IL‐13 and periostin levels. Correlations of IL‐13 with EASI were stronger in patients with increased (rs = 0.482) than with normal (rs = 0.342) periostin levels. We identified eosinophilia >6% and an EASI range of 5.5–17 dependent on the biomarker combination to be associated with increasing probabilities of biomarker$^{high}$ endotypes. Also patients with mild‐to‐low‐moderate severity (EASI < 16) featured increased biomarkers (IL‐13$^{high}$: 41%, periostin$^{high}$: 48.4%, DPP‐4$^{high}$: 22.3%). Herthoge sign (adjusted Odds Ratio (aOR) = 1.89, 95% Confidence Interval (CI) [1.14–3.14]) and maternal allergic rhinitis (aOR = 2.79–4.47) increased the probability of an IL‐13$^{high}$‐endotype, “dirty neck” (aOR = 2.83 [1.32–6.07]), orbital darkening (aOR = 2.43 [1.08–5.50]), keratosis pilaris (aOR = 2.21 [1.1–4.42]) and perleche (aOR = 3.44 [1.72–6.86]) of a DPP‐4$^{high}$‐endotype. Conclusions: A substantial proportion of patients with EASI < 16 featured high biomarker levels suggesting systemic impact of skin inflammation already below the current cut‐off for systemic therapy. Our findings facilitate the

Background: Atopic dermatitis (AD) has long been regarded as a primarily pediatric disease. However, there is growing evidence for a high rate of adult-onset AD. We aimed to characterize factors associated with adult-onset versus childhood-onset AD and controls. Methods: We analyzed cross-sectional data of the CK-CARE-ProRaD cohorts Bonn, Augsburg, Davos, Zürich of 736 adult patients stratified by age of AD onset (childhood-onset <18 years: 76.4% (subsets: 0 to 2; ≥2 to 6; ≥7 to 11; ≥12 to 18); adult-onset ≥18 years: 23.6% (subsets: ≥18 to 40; ≥41 to 60; ≥61) and 167 controls (91 atopic, 76 non-atopic)). Results: We identified active smoking to be associated with adult-onset AD versus controls (adjusted Odds Ratio (aOR) = 5.54 [95% Confidence Interval: 1.06-29.01] vs. controls$^{non-atopic}$ , aOR = 4.03 [1.20-13.45] vs. controls$^{atopic}$ ). Conjunctivitis showed a negative association versus controls$^{atopic}$ (aOR = 0.36 [0.14-0.91]). Food allergy (aOR = 2.93 [1.44-5.96]), maternal food allergy (aOR = 9.43 [1.10-80.95]), palmar hyperlinearity (aOR = 2.11 [1.05-4.25]), and academic background (aOR = 2.14 [1.00-4.54]) increased the odds of childhood-onset AD versus controls$^{atopic}$. Shared AD-associated factors were maternal AD (4-34x), increased IgE (2-20x), atopic stigmata (2-3x) with varying effect sizes depending on AD onset and control group. Patients with adult-compared to childhood-onset had doubled odds of allergic rhinitis (aOR = 2.15 [1.12-4.13]), but reduced odds to feature multiple (3-4) atopic comorbidities (aOR = 0.34 [0.14-0.84]). Adult-onset AD, particularly onset ≥61 years, grouped mainly in clusters with low contributions of personal and familial atopy and high frequencies of physical inactivity, childhood-onset AD, particularly infant-onset, mainly in "high-atopic"-clusters. Conclusions: The identified associated factors suggest partly varying endo- and exogeneous mechanisms underlying adult-onset versus childhood-onset AD. Our findings migh

Background: Impaired microbial development and decreased levels of short chain fatty acids, particularly butyrate, is suggested to have a role in the development of atopic dermatitis (AD). Methods: Faecal microbiota composition, abundance of selected bacterial groups and fermentation metabolites were compared at 90, 180 and 360 days of life between 27 children who developed AD by age one (AD group), and 39 controls (non-AD group) among the CARE (Childhood AlleRgy, nutrition and Environment) study cohort. Results: Diversity within the Firmicutes and Bacteroidetes phylum in the faecal microbiota was lower in the AD group compared to the non-AD group. Longitudinal analysis showed multiple amplicon sequence variants (ASV) within the same bacterial family to be differentially abundant. Namely, Ruminococcus bromii, a keystone primary starch degrader, and Akkermansia muciniphila, a mucin-utilizer, had lower abundance among the AD group. Children with AD were less likely to have high levels of faecal butyrate at 360 days compared to those without AD (11.5% vs 34.2%). At 360 days, children with high abundance of R. bromii had higher level of butyrate as well as lower proportion of children with AD compared to children with low abundance of R. bromii (11.1-12.5% vs 44.4-52.5%), which was independent of the abundance of the major butyrate producers. Conclusion: Our results suggested that R. bromii and other primary degraders might play an important role in the differences in microbial cross-feeding and metabolite formation between children with and without AD, which may influence the risk of developing the disease. Keywords: atopic dermatitis; butyrate; microbiota; resistant starch; short chain fatty acid.

Background Allergy to bites of blood‐sucking insects, including biting midges, can affect both human and veterinary patients. Horses are often suffering from an IgE‐mediated allergic dermatitis caused by bites of midges (Culicoides spp). With the aim to improve allergen immunotherapy (AIT), numerous Culicoides allergens have been produced as recombinant (r‐) proteins. This study aimed to test a comprehensive panel of differently expressed Culicoides r‐allergens on a cohort of IBH‐affected and control horses using an allergen microarray. Methods IgE levels to 27 Culicoides r‐allergens, including 8 previously unpublished allergens, of which 11 were expressed in more than one expression system, were determined in sera from 347 horses. ROC analyses were carried out, cut‐offs selected using a specificity of 95% and seropositivity rates compared between horses affected with insect bite hypersensitivity (IBH) and control horses. The combination of r‐allergens giving the best performing test was determined using logistic regression analysis. Results Seropositivity was significantly higher in IBH horses compared with controls for 25 r‐allergens. Nine Culicoides r‐allergens were major allergens for IBH with seven of them binding IgE in sera from > 70% of the IBH‐affected horses. Combination of these top seven r‐allergens could diagnose > 90% of IBH‐affected horses with a specificity of > 95%. Correlation between differently expressed r‐allergens was usually high (mean = 0.69, range: 0.28‐0.91). Conclusion This microarray will be a powerful tool for the development of component‐resolved, patient‐tailored AIT for IBH and could be useful for the study of allergy to biting midges in humans and other species.