Evidence map›Paper›PMID 25519813›Full record

ReviewJournal of translational medicine2014

Dendritic cells during Staphylococcus aureus infection: subsets and roles.

Xuejie Wu, Feng Xu

Open access · goldAbstract readReview
In one paragraph

Review in Journal of translational medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.5field-weighted citation impact, top 34% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 17 citations in OpenAlex.

  1. Prostaglandin ECell death & disease · 2026
    Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Review
  7. Evasion of Immunological Memory byFrontiers in immunology · 2021
    Review
  8. CD8αImmunology · 2020
    Article
  9. Article
  10. Effects ofViruses · 2018
    Article
  11. Article
  12. Ephedrine hydrochloride protects mice fromAmerican journal of translational research · 2018
    Article
  13. Efficacy ofAdvances in pharmacological sciences · 2018
    Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Xuejie WuDepartment of Infectious Diseases, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, China. wuxuejie81@163.com.
Feng XuDepartment of Infectious Diseases, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, China. xufeng99@yahoo.com.
Second Affiliated Hospital of Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dendritic cells (DCs) are professional antigen-presenting cells (APCs) that play a crucial role in both innate and adaptive immune responses. DCs orient the immune responses by modulating the balance between protective immunity to pathogens and tolerance to self-antigens. Staphylococcus aureus (S. aureus) is a common member of human skin microbiota and can cause severe infections with significant morbidity and mortality. Protective immunity to pathogens by DCs is required for clearance of S. aureus. DCs sense the presence of the staphylococcal components using pattern recognition receptors (PRRs) and then orchestrate immune systems to resolve infections. This review summarizes the possible roles of DCs, in particular their Toll-like receptors (TLRs) involved in S. aureus infection and strategies by which the pathogen affects activation and function of DCs.

Indexed as

Dendritic CellsHumansLymphocyte SubsetsStaphylococcal InfectionsStaphylococcus aureusToll-Like ReceptorsVirulenceToll-Like Receptors

Identifiers

PMID25519813
PMCPMC4279898
OpenAlexW2049841577

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.