Evidence map›Paper›PMID 33668495›Full record

ArticleJournal of fungi (Basel, Switzerland)2021

Direct Visualization of Fungal Burden in Filamentous Fungus-Infected Silkworms.

Yidong Yu, Ann-Katrin Wolf, Sina Thusek, Thorsten Heinekamp, Michael Bromley, Sven Krappmann, Ulrich Terpitz, Kerstin Voigt, Axel A Brakhage, Andreas Beilhack

Open access · goldAbstract read
In one paragraph

Article in Journal of fungi (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.0field-weighted citation impact, top 15% 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

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. AlternativeFrontiers in cellular and infection microbiology · 2024
    Review
  2. Review
  3. A novel ZnCurrent genetics · 2022
    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

10 authors at 5 institutions in 2 countries.

Yidong YuInterdisciplinary Center for Clinical Research Laboratory, Department of Internal Medicine II, Würzburg University Hospital, 97080 Würzburg, Germany.ORCID 0000-0002-2845-1175
Ann-Katrin WolfInterdisciplinary Center for Clinical Research Laboratory, Department of Internal Medicine II, Würzburg University Hospital, 97080 Würzburg, Germany.
Sina ThusekInterdisciplinary Center for Clinical Research Laboratory, Department of Internal Medicine II, Würzburg University Hospital, 97080 Würzburg, Germany.
Thorsten HeinekampDepartment of Molecular and Applied Microbiology, Leibniz Institute for Natural Product Research and Infection Biology-Hans Knöll Institute, 07745 Jena, Germany.ORCID 0000-0001-9503-9634
Michael BromleyManchester Fungal Infection Group, University of Manchester, Manchester M13 9PL, UK.
Sven KrappmannInstitute for Clinical Microbiology, Immunology and Hygiene, Erlangen University Hospital, 91054 Erlangen, Germany.ORCID 0000-0002-8299-7777
Ulrich TerpitzDepartment of Biotechnology and Biophysics, Theodor-Boveri-Institute, Biocenter, University of Würzburg, 97074 Würzburg, Germany.ORCID 0000-0003-3031-3422
Kerstin VoigtJena Microbial Resource Collection, Leibniz Institute for Natural Product Research and Infection Biology-Hans Knöll Institute, 07745 Jena, Germany.ORCID 0000-0002-1345-9991
Axel A BrakhageDepartment of Molecular and Applied Microbiology, Leibniz Institute for Natural Product Research and Infection Biology-Hans Knöll Institute, 07745 Jena, Germany.
Andreas BeilhackInterdisciplinary Center for Clinical Research Laboratory, Department of Internal Medicine II, Würzburg University Hospital, 97080 Würzburg, Germany.
Universitätsklinikum Würzburg · DELeibniz-Institut für Naturstoff-Forschung und Infektionsbiologie e. V. - Hans-Knöll-Institut (HKI) · DEFriedrich-Alexander-Universität Erlangen-Nürnberg · DEUniversity of Manchester · GBUniversity of Würzburg · DE

Funding

Deutsche Forschungsgemeinschaft 210879364Wellcome Trust 208396/Z/17/Z
6 · The paper itself

Abstract

Invasive fungal infections (IFIs) are difficult to diagnose and to treat and, despite several available antifungal drugs, cause high mortality rates. In the past decades, the incidence of IFIs has continuously increased. More recently, SARS-CoV-2-associated lethal IFIs have been reported worldwide in critically ill patients. Combating IFIs requires a more profound understanding of fungal pathogenicity to facilitate the development of novel antifungal strategies. Animal models are indispensable for studying fungal infections and to develop new antifungals. However, using mammalian animal models faces various hurdles including ethical issues and high costs, which makes large-scale infection experiments extremely challenging. To overcome these limitations, we optimized an invertebrate model and introduced a simple calcofluor white (CW) staining protocol to macroscopically and microscopically monitor disease progression in silkworms (

Indexed as

Aspergilluscalcofluor white stainingfungal infection modelLichtheimiasilkworm

Identifiers

PMID33668495
PMCPMC7918154
OpenAlexW3131288395

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.