ArticleiScience2019
Strains of Staphylococcus aureus that Colonize and Infect Skin Harbor Mutations in Metabolic Genes.
Article in iScience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 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.
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Who cites it
23 citing papers in PubMed, 33 citations in OpenAlex.
- Review
- Implant-DerivedAntibiotics (Basel, Switzerland) · 2025Article
- The mutational landscape of Staphylococcus aureus during colonisation.Nature communications · 2025Article
- Role of Trained Immunity in Heath and Disease.Current cardiology reports · 2025Review
- Phenotypic Variation inAntibiotics (Basel, Switzerland) · 2024Review
- The Complex Intracellular Lifecycle ofInternational journal of molecular sciences · 2024Review
- Review
- Staphylococcus aureus host interactions and adaptation.Nature reviews. Microbiology · 2023Review
- Emergence of community-associated methicillin-resistant Staphylococcus aureus ΨUSA300 among Japanese people with HIV, resulted from stepwise mutations in 2010s.Scientific reports · 2023Article
- The Skin Microbiome: Current Landscape and Future Opportunities.International journal of molecular sciences · 2023Review
- Pre-epidemic evolution of the MRSA USA300 clade and a molecular key for classification.Frontiers in cellular and infection microbiology · 2023Article
- Trained immunity: A "new" weapon in the fight against infectious diseases.Frontiers in immunology · 2023Review
- Pathogenic role of the staphylococcal accessory gene regulator quorum sensing system in atopic dermatitis.Frontiers in cellular and infection microbiology · 2023Review
- Staphylococcal trafficking and infection-from 'nose to gut' and back.FEMS microbiology reviews · 2022Review
- Review
- Staphylococcus aureus induces an itaconate-dominated immunometabolic response that drives biofilm formation.Nature communications · 2021Article
- Review
- Consequences of Metabolic Interactions duringToxins · 2020Review
- WhatsGNU: a tool for identifying proteomic novelty.Genome biology · 2020Article
- Comparative genomics in infectious disease.Current opinion in microbiology · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 3 institutions in 1 country.
Funding
Abstract
Staphylococcus aureus is the most common cause of skin and soft tissue infections, yet the bacterial genetic changes associated with adaptation to human skin are not well characterized. S. aureus strains isolated from patients with chronic skin colonization and intermittent infection were used to determine the staphylococcal genotypes or phenotypes associated with adaptation to human skin. We demonstrate that polymorphisms in metabolic genes, particularly those involved in the tricarboxylic acid cycle, the fumarate-succinate axis, and the generation of terminal electron transporters, are unexpectedly common. These skin-adapted strains activated glycolysis and hypoxia-inducible factor-1α, interleukin (IL)-1β, and IL-18 release from keratinocytes and promoted dermatopathology equivalent to a methicillin-resistant Staphylococcus aureus USA300 control in a murine model of infection. However, in contrast to USA300, a skin-adapted isolate failed to generate protection from a secondary infectious challenge. Within the context of human skin, there appears to be selection for S. aureus metabolic adaptive changes that promote glycolysis and maintain pathogenicity.
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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.