Evidence map›Paper›PMID 21667319›Full record

ArticleMycopathologia2011

A rat model of neonatal candidiasis demonstrates the importance of lipases as virulence factors for Candida albicans and Candida parapsilosis.

David Trofa, Lamia Soghier, Christina Long, Joshua D Nosanchuk, Attila Gacser, David L Goldman

Abstract read
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In one paragraph

Article in Mycopathologia, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

15 citing papers in PubMed, 35 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Candida parapsilosis: from Genes to the Bedside.Clinical microbiology reviews · 2019
    Review
  5. Investigation ofFrontiers in microbiology · 2017
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. The spectrum of fungi that infects humans.Cold Spring Harbor perspectives in medicine · 2014
    Review
  11. The Candida pathogenic species complex.Cold Spring Harbor perspectives in medicine · 2014
    Review
  12. Article
  13. Article
  14. Article
  15. 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

6 authors at 3 institutions in 2 countries.

David TrofaDepartment of Medicine, Albert Einstein College of Medicine of Yeshiva University, Bronx, NY 10461, USA.
Lamia Soghier
Christina Long
Joshua D Nosanchuk
Attila Gacser
David L Goldman
Albert Einstein College of Medicine · USYeshiva University · USUniversity of Szeged · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The host factors that contribute to the increased susceptibility of preterm neonates to invasive candidiasis have not been fully identified. In addition, there has been a lack of suitable models to study this problem. We show that rat pups, similar to premature neonates, display increased susceptibility to experimental Candida albicans infection. Further, we find that both C. albicans and Candida parapsilosis lipase disruptant mutants exhibit decreased virulence in rat pups, demonstrating the utility of the model to evaluate the impact of specific genes in disease pathogenesis. Our findings highlight the contribution of lipases to the virulence of C. albicans and C. parapsilosis and provide a new system to study the increased susceptibility of neonates to Candida infections.

Indexed as

AnimalsAnimals, NewbornCandidaCandidiasisDisease Models, AnimalFemaleGene Knockout TechniquesLipaseMaleRatsRats, Sprague-DawleyRodent DiseasesSurvival AnalysisVirulenceVirulence FactorsLipaseVirulence Factors

Identifiers

PMID21667319
OpenAlexW2061646121

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.