Evidence map›Paper›PMID 22615574›Full record

ArticlePLoS pathogens2012

Global analysis of the evolution and mechanism of echinocandin resistance in Candida glabrata.

Sheena D Singh-Babak, Tomas Babak, Stephanie Diezmann, Jessica A Hill, Jinglin Lucy Xie, Ying-Lien Chen, Susan M Poutanen, Robert P Rennie, Joseph Heitman, Leah E Cowen

Open access · goldAbstract read
In one paragraph

Article in PLoS pathogens, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 109 papers.

0numbers the graph read from it
0cells of the map it votes in
109citing papers in PubMed
7.4field-weighted citation impact, top 2% 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

109 citing papers in PubMed, 193 citations in OpenAlex.

  1. Article
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  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Tn-seq screens inmSphere · 2025
    Article
  9. Review
  10. Echinocandin Adaptation inJournal of fungi (Basel, Switzerland) · 2025
    Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Journal of fungi (Basel, Switzerland) · 2024
    Article
  17. Article
  18. Article
  19. Review
  20. Is theMicroorganisms · 2023
    Article

49 more citing papers are in PubMed but not listed here.

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

10 authors at 6 institutions in 2 countries.

Sheena D Singh-BabakDepartment of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.
Tomas Babak
Stephanie Diezmann
Jessica A Hill
Jinglin Lucy Xie
Ying-Lien Chen
Susan M Poutanen
Robert P Rennie
Joseph Heitman
Leah E Cowen
University of Toronto · CADuke Medical Center · USDuke University Hospital · USMount Sinai Hospital · CAStanford University · USUniversity of Alberta · CA

Funding

Social and Behavioral Sciences CoreP30AI064518 · NIAID · DUKE UNIVERSITY · PI Nwora Lance Okeke · 2005 to 2026
$50.5M
Novel Antifungal Therapeutic ApproachesR01AI050438 · NIAID · DUKE UNIVERSITY · PI HEITMAN, JOSEPH · 2001 to 2012
$3.3M
NIAID NIH HHS 2P30 AI064518-06NIAID NIH HHS P30 AI064518NIAID NIH HHS R01 AI050438NIAID NIH HHS R01 AI50438
6 · The paper itself

Abstract

The evolution of drug resistance has a profound impact on human health. Candida glabrata is a leading human fungal pathogen that can rapidly evolve resistance to echinocandins, which target cell wall biosynthesis and are front-line therapeutics for Candida infections. Here, we provide the first global analysis of mutations accompanying the evolution of fungal drug resistance in a human host utilizing a series of C. glabrata isolates that evolved echinocandin resistance in a patient treated with the echinocandin caspofungin for recurring bloodstream candidemia. Whole genome sequencing identified a mutation in the drug target, FKS2, accompanying a major resistance increase, and 8 additional non-synonymous mutations. The FKS2-T1987C mutation was sufficient for echinocandin resistance, and associated with a fitness cost that was mitigated with further evolution, observed in vitro and in a murine model of systemic candidemia. A CDC6-A511G(K171E) mutation acquired before FKS2-T1987C(S663P), conferred a small resistance increase. Elevated dosage of CDC55, which acquired a C463T(P155S) mutation after FKS2-T1987C(S663P), ameliorated fitness. To discover strategies to abrogate echinocandin resistance, we focused on the molecular chaperone Hsp90 and downstream effector calcineurin. Genetic or pharmacological compromise of Hsp90 or calcineurin function reduced basal tolerance and resistance. Hsp90 and calcineurin were required for caspofungin-dependent FKS2 induction, providing a mechanism governing echinocandin resistance. A mitochondrial respiration-defective petite mutant in the series revealed that the petite phenotype does not confer echinocandin resistance, but renders strains refractory to synergy between echinocandins and Hsp90 or calcineurin inhibitors. The kidneys of mice infected with the petite mutant were sterile, while those infected with the HSP90-repressible strain had reduced fungal burden. We provide the first global view of mutations accompanying the evolution of fungal drug resistance in a human host, implicate the premier compensatory mutation mitigating the cost of echinocandin resistance, and suggest a new mechanism of echinocandin resistance with broad therapeutic potential.

Indexed as

Antifungal AgentsBase SequenceCalcineurinCandida glabrataCandidemiaCaspofunginDrug Resistance, FungalEchinocandinsEvolution, MolecularFemaleFungal ProteinsGenome, FungalGlucosyltransferasesHSP90 Heat-Shock ProteinsHumansLipopeptidesAntifungal AgentsCalcineurinCaspofunginEchinocandinsFungal ProteinsGlucosyltransferasesHSP90 Heat-Shock ProteinsLipopeptides

Identifiers

PMID22615574
PMCPMC3355103
OpenAlexW2019892034

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.