ReviewCurrent microbiology2020
Metagenomic Studies in Inflammatory Skin Diseases.
Review in Current microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
14 citing papers in PubMed, 19 citations in OpenAlex.
- The Trans-Kingdom Spectrum of Mpox-like Lesion Pustules of Suspect Patients in the Mpox Clade Ib Outbreak in Eastern Democratic Republic of the Congo.Microorganisms · 2025Article
- The Role of Probiotics in Skin Care: Advances, Challenges, and Future Needs.Probiotics and antimicrobial proteins · 2024Review
- Skin Microbial Composition and Genetic Mutation Analysis in Precision Medicine for Epidermolysis Bullosa.Current drug targets · 2024Review
- Microbial perspective on the skin-gut axis and atopic dermatitis.Open life sciences · 2024Review
- Microbiome: Role in Inflammatory Skin Diseases.Journal of inflammation research · 2024Review
- Chitosan-Based Hydrogel in the Management of Dermal Infections: A Review.Gels (Basel, Switzerland) · 2023Review
- The Skin Microbiome: Current Techniques, Challenges, and Future Directions.Microorganisms · 2023Review
- Gut Microbiome Composition in Patients with Chronic Urticaria: A Review of Current Evidence and Data.Life (Basel, Switzerland) · 2023Review
- Temporal and Spatial Variation of the Skin-Associated Bacteria from Healthy Participants and Atopic Dermatitis Patients.mSphere · 2022Article
- Features of the Skin Microbiota in Common Inflammatory Skin Diseases.Life (Basel, Switzerland) · 2021Review
- A Journey on the Skin Microbiome: Pitfalls and Opportunities.International journal of molecular sciences · 2021Review
- An Insight into Biomolecules for the Treatment of Skin Infectious Diseases.Pharmaceutics · 2021Review
- First Description of the Composition and the Functional Capabilities of the Skin Microbial Community Accompanying Severe Scabies Infestation in Humans.Microorganisms · 2021Article
- Circulating Antibodies to Skin Bacteria Detected by Serological Lateral Flow Immunoassays Differentially Correlated With Bacterial Abundance.Frontiers in microbiology · 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
5 authors at 1 institution in 1 country.
Funding
Abstract
Next-generation sequencing (NGS) technologies together with an improved access to compute performance led to a cost-effective genome sequencing over the past several years. This allowed researchers to fully unleash the potential of genomic and metagenomic analyses to better elucidate two-way interactions between host cells and microbiome, both in steady-state and in pathological conditions. Experimental research involving metagenomics shows that skin resident microbes can influence the cutaneous pathophysiology. Here, we review metagenome approaches to study microbiota at this barrier site. We also describe the consequences of changes in the skin microbiota burden and composition, mostly revealed by these technologies, in the development of common inflammatory skin diseases.
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What OpenQuestion holds
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.