ReviewInternational immunology2019
Host-microbial dialogues in atopic dermatitis.
Review in International immunology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 18 citations in OpenAlex.
- Analysis of the Facial Skin Bacterial Community in Vietnamese Individuals with Sensitive Skin and Clinical Relevance.Dermatology and therapy · 2026Article
- Endogenous Hypersensitivity Infection: A Unifying Framework forMicroorganisms · 2026Review
- Non-invasive detection of pediatric atopic dermatitis based on fecal microbiota and metabolite profiles: a diagnostic approach.Frontiers in immunology · 2026Article
- Genomic characterization of Staphylococcus epidermidis Se252 isolated from the rhizosphere of a Brazilian endemic plant.BMC genomics · 2025Article
- The immunological and structural epidermal barrier dysfunction and skin microbiome in atopic dermatitis-an update.Frontiers in molecular biosciences · 2023Review
- The influence of clinical severity and topical antimicrobial treatment on bacteriological culture and the microbiota of equine pastern dermatitis.Veterinary dermatology · 2021Article
- Analysis of the Bacterial Flora of Sensitive Facial Skin Among Women in Guangzhou.Clinical, cosmetic and investigational dermatology · 2021Article
- In the Age of Synthetic Biology, Will Antimicrobial Peptides be the Next Generation of Antibiotics?Antibiotics (Basel, Switzerland) · 2020Article
- Novel Cytoplasmic Bacteriocin Compounds Derived fromPathogens (Basel, Switzerland) · 2020Article
- Dysbiotic Lesional Microbiome With Filaggrin Missense Variants Associate With Atopic Dermatitis in India.Frontiers in cellular and infection microbiology · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Recent advances in sequencing technologies have revealed the diversity of microbes that reside on the skin surface which has enhanced our understanding on skin as an ecosystem, wherein the epidermis, immune cells and the microbiota engage in active dialogues that maintain barrier integrity and functional immunity. This mutual dialogue is altered in atopic dermatitis (AD), in which an impaired epidermal barrier, the skin microbial flora and aberrant immunity can form a vicious cycle that leads to clinical manifestations as eczematous dermatitis. Microbiome studies have revealed an altered microbial landscape in AD and genetic studies have identified genes that underlie barrier impairment and immune dysregulation. Shifting from the long-standing notion that AD was mediated by conventional allergic responses, emerging data suggest that it is a disorder of an altered host-microbial relationship with sophisticated pathophysiology. In this review, we will discuss recent advancements that suggest the roles of the skin microbiota in AD pathophysiology, genetic factors that mediate barrier impairment, dysbiosis and inflammation. Studies in mice, classic AD and monogenic disorders that manifest as AD collectively facilitate our understanding of AD pathophysiology and provide a foundation for novel therapeutic strategies.
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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.