ReviewPLoS biology2017
Bacterial deception of MAIT cells in a cloud of superantigen and cytokines.
Review in PLoS biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed, 21 citations in OpenAlex.
- Review
- Mucosal-Associated Invariant T Cells: Origins, Biological Functions, Diseases, and Therapeutic Targets.MedComm · 2025Review
- Investigating Vα7.2International journal of molecular sciences · 2024Article
- Mucosa-Associated Invariant T Cell Hypersensitivity toJournal of immunology (Baltimore, Md. : 1950) · 2022Article
- Human MAIT Cells Respond toMicroorganisms · 2022Article
- Review
- Incorporating mucosal-associated invariant T cells into the pathogenesis of chronic liver disease.World journal of gastroenterology · 2021Review
- Article
- B Cells Control Mucosal-Associated Invariant T Cell Responses toFrontiers in immunology · 2021Article
- Human MAIT cell cytolytic effector proteins synergize to overcome carbapenem resistance in Escherichia coli.PLoS biology · 2020Article
- Immunity toMicrobiology spectrum · 2019Review
- Functional MAIT Cells Are Associated With Reduced Simian-Human Immunodeficiency Virus Infection.Frontiers in immunology · 2019Article
- The CD4Proceedings of the National Academy of Sciences of the United States of America · 2018Article
- Manipulation of Innate and Adaptive Immunity by Staphylococcal Superantigens.Pathogens (Basel, Switzerland) · 2018Review
- Factors Influencing Functional Heterogeneity in Human Mucosa-Associated Invariant T Cells.Frontiers in immunology · 2018Review
- Mucosal-Associated Invariant T Cells: New Insights into Antigen Recognition and Activation.Frontiers in immunology · 2017Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 2 countries.
Funding
Abstract
The bacterium Staphylococcus aureus is an important cause of the life-threatening condition toxic shock syndrome in humans. Bacterial toxins known as superantigens (SAgs) generate this illness by acting as broad activators of a substantial fraction of all T lymphocytes, bypassing the normally highly stringent T-cell receptor antigen specificity to cause a systemic inflammatory cytokine storm in the host. In a new study, Shaler et al. found that immune cells called mucosa-associated invariant T (MAIT) cells make an unexpectedly large contribution to the SAg response in a largely T-cell receptor-independent, cytokine-driven manner. Subsequent to such activation, the MAIT cells remain unresponsive to stimulation with bacterial antigen. Thus, S. aureus hijacks MAIT cells in the cytokine storm and leaves them functionally impaired. This work provides new insight into the role of MAIT cells in antibacterial immunity and opens new avenues of investigation to understand and possibly treat bacterial toxic shock and sepsis.
Indexed as
Identifiers
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.