Evidence map›Paper›PMID 16569846›Full record

ArticleAntimicrobial agents and chemotherapy2006

Time course of microbiologic outcome and gene expression in Candida albicans during and following in vitro and in vivo exposure to fluconazole.

A Lepak, J Nett, L Lincoln, K Marchillo, D Andes

Open access · greenAbstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2006. 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
2.0field-weighted citation impact, top 14% 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

23 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
  2. Review
  3. Genome-wide translational response ofMicrobiology spectrum · 2023
    Article
  4. Eucalyptal D Enhances the Antifungal Effect of Fluconazole on Fluconazole-ResistantFrontiers in cellular and infection microbiology · 2019
    Article
  5. Review
  6. Open forum infectious diseases · 2016
    Article
  7. Pathogenesis of Candida albicans biofilm.Pathogens and disease · 2016
    Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Fungal biofilm resistance.International journal of microbiology · 2012
    Article
  16. Article
  17. Fungal Biofilms: Relevance in the Setting of Human Disease.Current fungal infection reports · 2010
    Article
  18. Article
  19. Article
  20. 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

5 authors at 1 institution in 1 country.

A LepakDepartment of Medicine, Section of Infectious Diseases and Medical Microbiology and Immunology, University of Wisconsin, 600 Highland Ave., Room H4/572, Madison, WI 53792, USA.
J Nett
L Lincoln
K Marchillo
D Andes
University of Wisconsin–Madison · US

Funding

RESEARCH TRAINING IN HEMATOLOGYT32HL007899 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI Jane Ellen Churpek · 1998 to 2026
$8.2M
NHLBI NIH HHS T32 HL007899
6 · The paper itself

Abstract

Pharmacodynamics (PD) considers the relationship between drug exposure and effect. The two factors that have been used to distinguish the PD behaviors of antimicrobials are the impact of concentration on the extent of organism killing and the duration of persistent microbiologic suppression (postantibiotic effect). The goals of these studies were (i) to examine the relationship between antimicrobial PD and gene expression and (ii) to gain insight into the mechanism of fluconazole effects persisting following exposure. Microarrays were used to estimate the transcriptional response of Candida albicans to a supra-MIC F exposure over time in vitro. Fluconazole at four times the MIC was added to a log-phase C. albicans culture, and cells were collected to determine viable growth and for microarray analyses. We identified differential expression of 18% of all genes for at least one of the time points. More genes were upregulated (n=1,053 [16%]) than downregulated (174 [3%]). Of genes with known function that were upregulated during exposure, most were related to plasma membrane/cell wall synthesis (18%), stress responses (7%), and metabolism (6%). The categories of downregulated genes during exposure included protein synthesis (15%), DNA synthesis/repair (7%), and transport (7%) genes. The majority of genes identified at the postexposure time points were from the protein (17%) and DNA (7%) synthesis categories. In subsequent studies, three genes (CDR1, CDR2, and ERG11) were examined in greater detail (more concentration and time points) following fluconazole exposure in vitro and in vivo. Expression levels from the in vitro and in vivo studies were congruent. CDR1 and CDR2 transcripts were reduced during in vitro fluconazole exposure and during supra-MIC exposure in vivo. However, in the postexposure period, the mRNA abundance of both pumps increased. ERG11 expression increased during exposure and fell in the postexposure period. The expression of the three genes responded in a dose-dependent manner. In sum, the microarray data obtained during and following fluconazole exposure identified genes both known and unknown to be affected by this drug class. The expanded in vitro and in vivo expression data set underscores the importance of considering the time course of exposure in pharmacogenomic investigations.

Indexed as

AnimalsAntifungal AgentsATP-Binding Cassette TransportersCandida albicansFluconazoleFungal ProteinsGene Expression ProfilingMembrane Transport ProteinsMiceMicrobial Sensitivity TestsOligonucleotide Array Sequence AnalysisRNA, MessengerAntifungal AgentsATP-Binding Cassette TransportersCDR1 protein, Candida albicansFluconazoleFungal ProteinsMembrane Transport ProteinsRNA, Messenger

Identifiers

PMID16569846
PMCPMC1426956
OpenAlexW2117929409

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.