Dataset Information

Microbial and transcriptional differences elucidate atopic dermatitis heterogeneity across skin sites.

ABSTRACT: It is well established that different sites in healthy human skin are colonized by distinct microbial communities due to different physiological conditions. However, few studies have explored microbial heterogeneity between skin sites in diseased skin, such as atopic dermatitis (AD) lesions. To address this issue, we carried out deep analysis of the microbiome and transcriptome in the skin of a large cohort of AD patients and healthy volunteers, comparing two physiologically different sites: upper back and posterior thigh. Microbiome samples and biopsies were obtained from both lesional and nonlesional skin to identify changes related to the disease process. Transcriptome analysis revealed distinct disease-related gene expression profiles depending on anatomical location, with keratinization dominating the transcriptomic signatures in posterior thigh, and lipid metabolism in the upper back. Moreover, we show that relative abundance of Staphylococcus aureus is associated with disease severity in the posterior thigh, but not in the upper back. Our results suggest that AD may select for similar microbes in different anatomical locations-an "AD-like microbiome," but distinct microbial dynamics can still be observed when comparing posterior thigh to upper back. This study highlights the importance of considering the variability across skin sites when studying the development of skin inflammation.

SUBMITTER: Ottman N

PROVIDER: S-EPMC8246754 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature

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Microbial and transcriptional differences elucidate atopic dermatitis heterogeneity across skin sites.

Ottman Noora N Barrientos-Somarribas Mauricio M Fyhrquist Nanna N Alexander Helen H Wisgrill Lukas L Olah Peter P Tsoka Sophia S Greco Dario D Levi-Schaffer Francesca F Soumelis Vassili V Schröder Jens M JM Kere Juha J Nestle Frank O FO Barker Jonathan J Ranki Annamari A Lauerma Antti A Homey Bernhard B Andersson Björn B Alenius Harri H

Allergy 20201014 4

It is well established that different sites in healthy human skin are colonized by distinct microbial communities due to different physiological conditions. However, few studies have explored microbial heterogeneity between skin sites in diseased skin, such as atopic dermatitis (AD) lesions. To address this issue, we carried out deep analysis of the microbiome and transcriptome in the skin of a large cohort of AD patients and healthy volunteers, comparing two physiologically different sites: upp ...[more]

PMID: 33001460

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Project description:BackgroundAtopic dermatitis (AD) is associated with itch, skin inflammation and barrier disruption, and scratching, all of which may be associated with skin pain.ObjectiveTo characterize the patient burden of skin pain in AD.MethodsWe performed a prospective dermatology practice-based study using questionnaires and evaluation by a dermatologist.ResultsOverall, 305 patients (age range, 13-97 years) were included in the study, with 564 encounters. The cohort included 195 females (63.9%) and 193 whites (63.7%). The mean (SD) age at enrollment was 42.3 (18.1) years, and the mean (SD) age of patient-reported AD onset was 29.6 (31.9) years. At baseline, 144 patients (42.7%) reported skin pain in the past week, with 42 (13.8%) reporting severe or very severe pain. Twenty-four (16.8%) thought the skin pain was part of their itch, 16 (11.2%) from scratching, and 77 (72.0%) from both. Patients with skin pain were more likely to describe their itch using terms that resembled neuropathic pain. Prevalence of skin pain was increased in patients with vs without excoriations (72.6% vs 57.6%; χ2 test P = .02) but not other morphologic characteristics. Skin pain severity was most strongly correlated with the Patient-Oriented Eczema Measure (Spearman ρ = 0.54), followed by ItchyQOL (ρ = 0.52), 5-dimensions of itch scale (ρ = 0.47), Dermatology Life Quality Index (ρ = 0.45), numeric rating scale for itch (ρ = 0.43) and sleep (ρ = 0.36), Patient Health Questionnaire 9 (ρ = 0.36), patient-reported global AD severity (ρ = 0.34), Eczema Area and Severity Index (ρ = 0.23), and objective Scoring AD index (ρ = 0.20) (P < .001 for all). Patients with both severe itch and pain vs those with only one or neither symptom being severe had significant increases in all these measures.ConclusionSkin pain is a common and burdensome symptom in AD. Skin pain severity should be assessed with itch severity in AD patients and may be an important end point for monitoring treatment response.

Project description:Atopic dermatitis (AD), also known as atopic eczema, is one of the most common skin diseases and is characterized by allergic skin inflammation, redness, and itchiness and is associated with a hyperactivated type 2 immune response. The leading causes of AD include an imbalance in the immune system, genetic predisposition, or environmental factors, making the development of effective pharmacotherapies complex. Steroids are widely used to treat AD; however, they provide limited efficacy in the long term and can lead to adverse effects. Thus, novel treatments that offer durable efficacy and fewer side effects are urgently needed. Here, we investigated the therapeutic potential of Huangbai Liniment (HB), a traditional Chinese medicine, using an experimental AD mouse model, following our clinical observations of AD patients. In both AD patient and the mouse disease model, HB significantly improved the disease condition. Specifically, patients who received HB treatment on local skin lesions (3-4 times/day) showed improved resolution of inflammation. Using the 1-Chloro-2,4-dinitrobenzene (DNCB)-induced AD model in BALB/c mice, we observed that HB profoundly alleviated severe skin inflammation and relieved the itching. The dermatopathological results showed markedly reversed skin inflammation with decreased epidermal thickness and overall cellularity. Correspondingly, HB treatment largely decreased the mRNA expression of proinflammatory cytokines, including IL-1β, TNF-α, IL-17, IL-4, and IL-13, associated with declined gene expression of IL-33, ST2, and GATA3, which are connected to the type 2 immune response. In addition, HB restored immune tolerance by promoting regulatory T (TREG) cells and inhibiting the generation of TH1, TH2, and TH17 cells in vitro and in the DNCB-induced AD mouse model. For the first time, we demonstrate that HB markedly mitigates skin inflammation in AD patients and the DNCB-induced AD mouse model by reinvigorating the T cell immune balance, shedding light on the future development and application of novel HB-based therapeutics for AD.

Project description:BackgroundMonitoring the effects of biologic therapies in skin diseases will benefit from alternative noninvasive skin sampling techniques to evaluate immune pathways in diseased tissue early and longitudinally.ObjectiveTo establish a minimally invasive profiling of skin cytokines for diagnosis, therapeutic response monitoring, and clinical research in atopic dermatitis (AD) and other skin diseases, particularly in pediatric cohorts.MethodsWe developed a novel method for cytokine profiling in the epidermis using skin tape strips (STSs) in a setting designed to maximize the efficiency of protein extraction from STSs. This method was applied to analyze STS protein extracts from the lesional skin of children having AD (n = 41) and normal, healthy controls (n = 22). A total of 20 cytokines were probed with the ultrasensitive Mesoscale multiplex cytokine assay.ResultsA significant increase in interleukin (IL)-1b (P < .01), IL-18 (P < .001), and IL-8 (P < .001) with a decrease in IL-1a (P < .001) in the stratum corneum of AD lesional skin was found. Concurrently, an increase in markers associated with type 2 inflammatory response was readily detectable in AD lesional skin, including C-C motif chemokine ligand (CCL) 22, CCL 17, and thymic stromal lymphopoietin (TSLP). The levels of IL-1b, IL-18, and TSLP exhibited positive correlations with the AD severity index (Scoring AD index) and skin transepidermal water loss (TEWL), whereas an inverse correlation between IL-1a and Scoring AD index and IL-1a and TEWL was found. The levels of CCL17, CCL22, TSLP, IL-22, and IL-17a correlated with skin TEWL measurements.ConclusionUsing minimally invasive STS analysis, we identified cytokine profiles easily sampled in AD lesional skin. The expression of these markers correlated with disease severity and reflected changes in TEWL in lesional skin. These markers suggest new response assessment targets for AD skin.Trial registrationClinicalTrials.gov Identifier: NCT03168113.

Dataset Information

Microbial and transcriptional differences elucidate atopic dermatitis heterogeneity across skin sites.

Publications

Microbial and transcriptional differences elucidate atopic dermatitis heterogeneity across skin sites.

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