ArticleJournal of visualized experiments : JoVE2019
A Mouse Model to Assess Innate Immune Response to Staphylococcus aureus Infection.
Article in Journal of visualized experiments : JoVE, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed, 12 citations in OpenAlex.
- Intravital Imaging of Immune Responses in the Cancer Microenvironment.Cancer medicine · 2025Review
- The joint action of antibiotics, bacteriophage, and the innate immune response in the treatment of bacterial infections.Frontiers in microbiology · 2025Article
- Neutrophil Granulopoiesis Optimized Through Ex Vivo Expansion of Hematopoietic Progenitors in Engineered 3D Gelatin Methacrylate Hydrogels.Advanced healthcare materials · 2024Article
- A Designed Host Defense Peptide for the Topical Treatment of MRSA-Infected Diabetic Wounds.International journal of molecular sciences · 2023Article
- Regulation of Lysozyme Activity by Human HormonesIranian biomedical journal · 2023Article
- Label-free optical metabolic imaging of adipose tissues for prediabetes diagnosis.Theranostics · 2023Article
- Murine Models for Staphylococcal Infection.Current protocols · 2021Article
- A Mathematical Model of the Dynamics of Cytokine Expression and Human Immune Cell Activation in Response to the PathogenFrontiers in cellular and infection microbiology · 2021Article
- Review
- Research Techniques Made Simple: Mouse Bacterial Skin Infection Models for Immunity Research.The Journal of investigative dermatology · 2020Article
- Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Staphylococcus aureus (S. aureus) infections, including methicillin resistant stains, are an enormous burden on the healthcare system. With incidence rates of S. aureus infection climbing annually, there is a demand for additional research in its pathogenicity. Animal models of infectious disease advance our understanding of the host-pathogen response and lead to the development of effective therapeutics. Neutrophils play a primary role in the innate immune response that controls S. aureus infections by forming an abscess to wall off the infection and facilitate bacterial clearance; the number of neutrophils that infiltrate an S. aureus skin infection often correlates with disease outcome. LysM-EGFP mice, which possess the enhanced green fluorescent protein (EGFP) inserted in the Lysozyme M (LysM) promoter region (expressed primarily by neutrophils), when used in conjunction with in vivo whole animal fluorescence imaging (FLI) provide a means of quantifying neutrophil emigration noninvasively and longitudinally into wounded skin. When combined with a bioluminescent S. aureus strain and sequential in vivo whole animal bioluminescent imaging (BLI), it is possible to longitudinally monitor both the neutrophil recruitment dynamics and in vivo bacterial burden at the site of infection in anesthetized mice from onset of infection to resolution or death. Mice are more resistant to a number of virulence factors produced by S. aureus that facilitate effective colonization and infection in humans. Immunodeficient mice provide a more sensitive animal model to examine persistent S. aureus infections and the ability of therapeutics to boost innate immune responses. Herein, we characterize responses in LysM-EGFP mice that have been bred to MyD88-deficient mice (LysM-EGFP×MyD88
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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.