Evidence map›Paper›PMID 29358719›Full record

ArticleScientific reports2018

Investigation of Candida parapsilosis virulence regulatory factors during host-pathogen interaction.

Renáta Tóth, Vitor Cabral, Ernst Thuer, Flóra Bohner, Tibor Németh, Csaba Papp, Leonardo Nimrichter, Gergő Molnár, Csaba Vágvölgyi, Toni Gabaldón and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Clinical, Epidemiological and Laboratory Features of InvasiveJournal of fungi (Basel, Switzerland) · 2023
    Article
  5. Culture media influencesFrontiers in cellular and infection microbiology · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. AJournal of fungi (Basel, Switzerland) · 2021
    Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Candida parapsilosis: from Genes to the Bedside.Clinical microbiology reviews · 2019
    Review
  18. 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

12 authors.

Renáta TóthDepartment of Microbiology, University of Szeged, Szeged, Hungary.
Vitor CabralDepartments of Medicine and Microbiology and Immunology, Albert Einstein College of Medicine, New York, NY, USA.ORCID http://orcid.org/0000-0002-0367-3521
Ernst ThuerCentre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology, Barcelona, Spain.
Flóra BohnerDepartment of Microbiology, University of Szeged, Szeged, Hungary.
Tibor NémethDepartment of Microbiology, University of Szeged, Szeged, Hungary.
Csaba PappDepartment of Microbiology, University of Szeged, Szeged, Hungary.
Leonardo NimrichterLaboratório de Glicobiologia de Eucariotos, Instituto de Microbiologia Professor Paulo de Góes, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
Gergő MolnárDepartment of Microbiology, University of Szeged, Szeged, Hungary.
Csaba VágvölgyiDepartment of Microbiology, University of Szeged, Szeged, Hungary.ORCID http://orcid.org/0000-0003-0009-7773
Toni GabaldónCentre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology, Barcelona, Spain.
Joshua D NosanchukDepartments of Medicine and Microbiology and Immunology, Albert Einstein College of Medicine, New York, NY, USA.
Attila GácserDepartment of Microbiology, University of Szeged, Szeged, Hungary. gacsera@gmail.com.

Funding

Biology of Fungal MelaninR01AI052733 · NIAID · YESHIVA UNIVERSITY · PI CASADEVALL, ARTURO · 2003 to 2019
$6.6M
Antibody differentially alters Histoplasma extracellular vesiclesR21AI124797 · NIAID · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI NOSANCHUK, JOSHUA D · 2016 to 2017
$538k
NIAID NIH HHS R01 AI052733NIAID NIH HHS R21 AI124797
6 · The paper itself

Abstract

Invasive candidiasis is among the most life-threatening infections in patients in intensive care units. Although Candida albicans is the leading cause of candidaemia, the incidence of Candida parapsilosis infections is also rising, particularly among the neonates. Due to differences in their biology, these species employ different antifungal resistance and virulence mechanisms and also induce dissimilar immune responses. Previously, it has been suggested that core virulence effecting transcription regulators could be attractive ligands for future antifungal drugs. Although the virulence regulatory mechanisms of C. albicans are well studied, less is known about similar mechanisms in C. parapsilosis. In order to search for potential targets for future antifungal drugs against this species, we analyzed the fungal transcriptome during host-pathogen interaction using an in vitro infection model. Selected genes with high expression levels were further examined through their respective null mutant strains, under conditions that mimic the host environment or influence pathogenicity. As a result, we identified several mutants with relevant pathogenicity affecting phenotypes. During the study we highlight three potentially tractable signaling regulators that influence C. parapsilosis pathogenicity in distinct mechanisms. During infection, CPAR2_100540 is responsible for nutrient acquisition, CPAR2_200390 for cell wall assembly and morphology switching and CPAR2_303700 for fungal viability.

Indexed as

AnimalsCandida parapsilosisCandidiasis, InvasiveDisease Models, AnimalFemaleFungal ProteinsGene Expression ProfilingGene Expression Regulation, FungalHost-Pathogen InteractionsHumansMiceMutationSequence Analysis, RNATHP-1 CellsVirulence FactorsFungal ProteinsVirulence Factors

Identifiers

PMID29358719
PMCPMC5777994

What OpenQuestion holds

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LicenceCC BY
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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.