ArticleAllergy2021
Microbial and transcriptional differences elucidate atopic dermatitis heterogeneity across skin sites.
Article in Allergy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
16 citing papers in PubMed, 25 citations in OpenAlex.
- From Barrier Disruption and Immune Dysregulation to Targeted Therapies in Atopic Dermatitis.Clinical reviews in allergy & immunology · 2026Review
- Article
- Skin Tape Stripping: A Non-Invasive Approach Linking Epidermal Changes and Systemic Inflammation in Atopic Dermatitis.Clinical and translational allergy · 2026Review
- Profiling skin microbiota in an underrepresented population: Indonesian children with atopic dermatitis and controls.Frontiers in medicine · 2026Article
- Melittin-Loaded FeInternational journal of nanomedicine · 2026Article
- Review
- Microenvironmental host-microbe interactions in chronic inflammatory skin diseases.APMIS : acta pathologica, microbiologica, et immunologica Scandinavica · 2024Review
- Skin microbiota: pathogenic roles and implications in atopic dermatitis.Frontiers in cellular and infection microbiology · 2024Review
- Novel insights into atopic dermatitis.The Journal of allergy and clinical immunology · 2023Review
- Nextcast: A software suite to analyse and model toxicogenomics data.Computational and structural biotechnology journal · 2022Article
- Review
- Dysregulation of the epithelial barrier by environmental and other exogenous factors.Contact dermatitis · 2021Review
- Mechanisms of microbe-immune system dialogue within the skin.Genes and immunity · 2021Review
- [Microbiome update: from hype to crystal ball and valuable therapeutic tool!]Der Hautarzt; Zeitschrift fur Dermatologie, Venerologie, und verwandte Gebiete · 2021Article
- Microbial and transcriptional differences elucidate atopic dermatitis heterogeneity across skin sites.Allergy · 2021Article
- Staphylococcal Communities on Skin Are Associated with Atopic Dermatitis and Disease Severity.Microorganisms · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
19 authors at 8 institutions in 8 countries.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.