Evidence map›Paper›PMID 35499318›Full record

ArticleMicrobiology spectrum2022

Small, Cationic Antifungal Proteins from Filamentous Fungi Inhibit

Jeanett Holzknecht, Sandrine Dubrac, Sarah Hedtrich, László Galgóczy, Florentine Marx

Open access · goldAbstract read
In one paragraph

Article in Microbiology spectrum, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.3field-weighted citation impact, top 10% 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

9 citing papers in PubMed, 23 citations in OpenAlex.

  1. StudyingPharmaceuticals (Basel, Switzerland) · 2025
    Review
  2. Article
  3. Article
  4. 3D human epithelial models: a promising platform for studyingFrontiers in cellular and infection microbiology · 2025
    Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. 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 3 institutions in 3 countries.

Jeanett HolzknechtBiocenter, Institute of Molecular Biology, Medical University of Innsbruck, Innsbruck, Austria.
Sandrine DubracDepartment of Dermatology, Venereology and Allergology, Medical University of Innsbruck, Innsbruck, Austria.
Sarah HedtrichFaculty of Pharmaceutical Sciences, University of British Columbiagrid.17091.3e, Vancouver, British Columbia, Canada.
László GalgóczyDepartment of Biotechnology, Faculty of Science and Informatics, University of Szeged, Szeged, Hungary.ORCID 0000-0002-6976-8910
Florentine MarxBiocenter, Institute of Molecular Biology, Medical University of Innsbruck, Innsbruck, Austria.ORCID 0000-0002-8408-1842
Innsbruck Medical University · ATUniversity of British Columbia · CAUniversity of Szeged · HU

Funding

Austrian Science Fund FWF I 3132Austrian Science Fund FWF P 31662
6 · The paper itself

Abstract

The emerging resistance of human-pathogenic fungi to antifungal drugs urges the development of alternative therapeutic strategies. The small, cationic antifungal proteins (AFPs) from filamentous ascomycetes represent promising candidates for next-generation antifungals. These bio-molecules need to be tested for tolerance in the host and efficacy against fungal pathogens before they can be safely applied in humans. Testing of the efficacy and possible adverse effects of new drug candidates in three-dimensional (3D) human-cell based models represents an advantageous alternative to animal experiments. In, this study, as a proof-of-principle, we demonstrate the usefulness of 3D skin infection models for screening new antifungal drug candidates for topical application. We established a cutaneous infection with the opportunistic human-pathogenic yeast Candida albicans in a commercially available 3D full-thickness (FT) skin model to test the curative potential of distinct AFPs from Penicillium chrysogenum (PAF

Indexed as

Antifungal AgentsCandida albicansSkin Diseases, InfectiousAspergillusHumansInterleukin-8Microbial Sensitivity TestsAntifungal AgentsInterleukin-83D skin infection modelantifungal proteinsCandida albicansfull-thickness modelNeosartorya (Aspergillus) fischeriPenicillium chrysogenum

Identifiers

PMID35499318
PMCPMC9241769
OpenAlexW4225290385

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.