Evidence map›Paper›PMID 22415250›Full record

ReviewImmunologic research2012

Complexity and dynamics of host-fungal interactions.

Fabien Cottier, Norman Pavelka

Abstract readReview
PubMed Publisher
In one paragraph

Review in Immunologic research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
3.4field-weighted citation impact, top 8% 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

25 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
  2. Saps1-3 Antigens inInfectious disease reports · 2024
    Article
  3. Article
  4. Review
  5. Focus on the Role of NLRP3 Inflammasome in Diseases.International journal of molecular sciences · 2020
    Review
  6. Review
  7. Fungal evolution: major ecological adaptations and evolutionary transitions.Biological reviews of the Cambridge Philosophical Society · 2019
    Review
  8. Review
  9. The mammalian mycobiome: A complex system in a dynamic relationship with the host.Wiley interdisciplinary reviews. Systems biology and medicine · 2019
    Review
  10. Article
  11. Massive perianal ulceration:JAAD case reports · 2017
    Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Current concepts: host-pathogen interactions in cystic fibrosis airways disease.European respiratory review : an official journal of the European Respiratory Society · 2014
    Review
  19. Species-specific activation of Cu/Zn SOD by its CCS copper chaperone in the pathogenic yeast Candida albicans.Journal of biological inorganic chemistry : JBIC : a publication of the Society of Biological Inorganic Chemistry · 2014
    Article
  20. Fungal allergy in asthma-state of the art and research needs.Clinical and translational allergy · 2014
    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 2 countries.

Fabien CottierSingapore Immunology Network, Agency for Science, Technology and Research (A*STAR), 8A Biomedical Grove, #03 Immunos, Biopolis, Singapore.
Norman Pavelka
Agency for Science, Technology and Research · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pathologies attributable to fungal infections represent a growing concern in both developed and developing countries. Initially discovered as opportunistic pathogens of immunocompromised hosts, fungi such as Candida albicans are now being placed at the centre of a more complex and dynamic picture in which the outcome of an infection is the result of an intricate network of molecular interactions between the fungus, the host and the commensal microflora co-inhabiting various host niches, and especially the gastrointestinal (GI) tract. The complexity of the host-fungal interaction begins with the numerous pathogen-associated molecular patterns (PAMPs) present on the fungal cell wall that are recognized by multiple pathogen-recognition receptors (PRRs), expressed by several types of host cells. PAMP-PRR interactions elicit a variety of intracellular signalling pathways leading to a wide array of immune responses, some of which promote fungal clearance while others contribute to pathogenesis. The picture is further complicated by the fact that numerous commensal bacteria normally co-inhabiting the host's GI tract produce molecules that either directly modulate the survival and virulence of commensal fungi such as C. albicans or indirectly modulate the host's antifungal immune responses. On top of this complexity, this host-microbiome-fungal interaction exhibits features of a dynamic system, in which the same fungi can easily switch between different morphological forms presenting different PAMPs at different moments of time. Furthermore, fungal pathogens can rapidly accumulate genomic alterations that further modify their recognition by the immune system, their virulence and their resistance to antifungal compounds. Thus, based on available molecular data alone, it is currently difficult to construct a coherent model able to explain the balance between commensalism and virulence and to predict the outcome of a fungal infection. Here, we review current advances in our understanding of this complex and dynamic system and propose new avenues of investigation to assemble a more complete picture of the host-fungal interaction, integrating microbiological and immunological data under the lens of systems biology and evolutionary genomics.

Indexed as

AnimalsCandida albicansCandidiasisGastrointestinal TractHost-Pathogen InteractionsHumansReceptors, Pattern RecognitionSystems BiologyVirulence FactorsReceptors, Pattern RecognitionVirulence Factors

Identifiers

PMID22415250
OpenAlexW2008997176

What OpenQuestion holds

Textmetadata
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.