Evidence map›Paper›PMID 22722245›Full record

ReviewVirulence2012

The potential impact of antifungal drug resistance mechanisms on the host immune response to Candida.

Russell E Lewis, Pierluigi Viale, Dimitrios P Kontoyiannis

Abstract readReview
In one paragraph

Review in Virulence, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Article
  3. Clinical Isolate ofOpen journal of medical microbiology · 2025
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  4. Review
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  7. Article
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  9. Article
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  14. Ibuprofen-mediated reversal of fluconazole resistance in clinical isolates of Candida.Journal of clinical and diagnostic research : JCDR · 2015
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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

3 authors.

Russell E LewisDivision of Infectious Diseases, S. Orsola Malpighi Hospital, University of Bologna, Bologna, Italy. russ.e.lewis@gmail.com
Pierluigi Viale
Dimitrios P Kontoyiannis

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A large number of studies have been published over the last two decades examining molecular mechanisms of antifungal resistance in Candida species. However, few of these studies have explored how such mechanisms influence the host immune response to this opportunistic pathogen. With recent advances in our understanding of host immunity to Candida, a body of emerging literature has begun to explore how intrinsic and adaptive resistance mechanisms in Candida alter host immune system evasion and detection, which could have important implications for understanding (1) why certain resistance mechanisms and Candida species predominate in certain patient populations, (2) the biological context for understanding why high in vitro levels of resistance in may not necessarily correlate with risk of drug failure in vivo and (3) insight into effective immunotherapeutic strategies for combatting Candida resistance. Although this area of research is still in its infancy, two themes are emerging: First, the immunoevasion and intracellular persistence of C. glabrata may be a key factor in the capability of this species to persist in the course of multiple antifungal treatments and develop multidrug resistance. Second, changes in the cell wall associated with antifungal resistance often favor evasion for the host immune response.

Indexed as

Drug Resistance, FungalHost-Pathogen InteractionsAntifungal AgentsCandida glabrataCandidiasisHumansImmune EvasionModels, BiologicalAntifungal Agents

Identifiers

PMID22722245
PMCPMC3478239

What OpenQuestion holds

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LicenceCC BY-NC
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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.