Cited by 642Antifungal resistance and susceptibilityFungal and yeast genetics researchFungal Plant Pathogen Control

The DOI matches its Crossref record; 130 of the 137 references it cites were found in a registry or an index; 98 of the 154 sources its claims cite were checked for support.

Drug resistance and tolerance in fungi.

Open access
Berman, Judith, Krysan, Damian J.·2020·Nature Reviews Microbiology

Abstract

Systemic fungal infections pose a serious clinical problem. Treatment options are limited, and antifungal drug resistance is increasing. In addition, a substantial proportion of patients do not respond to therapy despite being infected with fungi that are susceptible to the drug. The discordance between overall treatment outcome and low levels of clinical resistance may be attributable to antifungal drug tolerance. In this Review, we define and distinguish resistance and tolerance and discuss the current understanding of the molecular, genetic and physiological mechanisms that contribute to those phenomena. Distinguishing tolerance from resistance might provide important insights into the reasons for treatment failure in some settings.

Overview

Integrity signals

Registry

Crossref · 10.1038/s41579-019-0322-2

Cites

130 of 130 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

39 Own interpretation · 38 Partly supported · 19 No full text of the sources · 17 Supported · 12 No basis given · 7 Couldn’t confirm · 5 Supported so far · 2 Own result · 1 Mixed support · 1 Sources not found · accuracy not yet measured

Show all 91 claims

  • Probably not a substantial claim. 10
  • It may state two separate claims as one. 40
50 of 50
  • The authors state this as an assumption.

    Tolerance and trailing growth in fluconazole probably represent the same phenomenon.

    “Thus, we use the term ‘trailing’ for describing studies that used that term, with the assumption that tolerance and trailing growth in fluconazole probably reflect the same phenomenon19–21 in this Review.”
  • The authors state this as an assumption.

    Differences in tolerance levels between isolates have a genetic basis and affect the proportion of cells able to grow in the presence of drug.

    “Differences in tolerance levels between isolates is assumed to have a genetic basis, and to affect the proportion of cells able to grow in drug.”
2 of 2

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Citations

Cites

Show all 137 references

Cited by

Sorted by citations

Items 401–500 of 626

Metadata

Authors
Berman, J., & Krysan, D. J.
Affiliations
  • Tel Aviv University (IL)
  • University of Iowa (US)
Corresponding author
Berman, Judith
Venue
Nature Reviews Microbiology
Published
2020-02-11
Volume
18
Issue
6
Pages
319-331
ISSN
  • 1740-1526 (ISSN-L)
  • 1740-1534
OpenAlex
W3006511740
Cited by
642
References
137
Citations by year
2026: 101 · 2025: 111 · 2024: 126 · 2023: 103 · 2022: 85 · 2021: 82 · 2020: 34
FWCI
3.68
Type
journal article
Language
en
Open access
Locations
  • Nature Reviews Microbiology (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
National Institute of Allergy and Infectious Diseases (R21AI125094)
Topics
  • Health Sciences › Medicine › Infectious Diseases › Antifungal resistance and susceptibility
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Fungal and yeast genetics research
  • Life Sciences › Agricultural and Biological Sciences › Plant Science › Fungal Plant Pathogen Control
Keywords
antifungal resistance, antifungal drug tolerance, systemic fungal infection, treatment failure, molecular mechanisms of resistance, fungal pathogenesis
MeSH terms
Antifungal Agents, Candida, Drug Tolerance, Humans, Microbial Sensitivity Tests, Drug Resistance, Fungal

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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