Evidence map›Paper›PMID 25607781›Full record

ReviewVirulence2015

Adaptive immune responses to Candida albicans infection.

Jonathan P Richardson, David L Moyes

Abstract readReview
In one paragraph

Review in Virulence, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 113 papers.

0numbers the graph read from it
0cells of the map it votes in
113citing papers in PubMed
–field-weighted citation impact
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

113 citing papers in PubMed.

  1. Article
  2. Closing the Gap: Advances and Barriers onInternational journal of molecular sciences · 2026
    Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Role ofCancer pathogenesis and therapy · 2025
    Review
  15. Microbiota and cancer: Elucidating the role ofWorld journal of clinical oncology · 2025
    Review
  16. Candida albicans: the current status regarding vaginal infections.Applied microbiology and biotechnology · 2025
    Review
  17. Gut Mycobiome Changes During COVID-19 Disease.Journal of fungi (Basel, Switzerland) · 2025
    Article
  18. Article
  19. Review
  20. Article

53 more citing papers are in PubMed but not listed here.

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.

Jonathan P Richardsona Mucosal and Salivary Biology Division ; Dental Institute; King's College London ; London , UK.
David L Moyes

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fungal infections are becoming increasingly prevalent in the human population and contribute to morbidity and mortality in healthy and immunocompromised individuals respectively. Candida albicans is the most commonly encountered fungal pathogen of humans, and is frequently found on the mucosal surfaces of the body. Host defense against C. albicans is dependent upon a finely tuned implementation of innate and adaptive immune responses, enabling the host to neutralise the invading fungus. Central to this protection are the adaptive Th1 and Th17 cellular responses, which are considered paramount to successful immune defense against C. albicans infections, and enable tissue homeostasis to be maintained in the presence of colonising fungi. This review will highlight the recent advances in our understanding of adaptive immunity to Candida albicans infections.

Indexed as

Adaptive ImmunityAnimalsAntibodies, FungalCandida albicansCandidiasisDendritic CellsFungal VaccinesHumansImmunity, HumoralInflammasomesMiceTh17 CellsTh1 CellsAntibodies, FungalFungal VaccinesInflammasomesadaptive immunityCandida albicansfungal infection

Identifiers

PMID25607781
PMCPMC4601188

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.