Evidence map›Paper›PMID 29578522›Full record

ArticleJournal of visualized experiments : JoVE2018

Histological Quantification to Determine Lung Fungal Burden in Experimental Aspergillosis.

Dylan J Stolz, Ethan M Sands, Nansalmaa Amarsaikhan, Angar Tsoggerel, Steven P Templeton

Open access · greenAbstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

10 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
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  4. Precision-cut lung slices in air-liquid interface (PCLS-ALI): A novelbioRxiv : the preprint server for biology · 2024
    Article
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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 1 country.

Dylan J StolzDepartment of Microbiology and Immunology, Indiana University School of Medicine - Terre Haute.
Ethan M SandsDepartment of Microbiology and Immunology, Indiana University School of Medicine - Terre Haute.
Nansalmaa AmarsaikhanDepartment of Microbiology and Immunology, Indiana University School of Medicine - Terre Haute.
Angar TsoggerelDepartment of Microbiology and Immunology, Indiana University School of Medicine - Terre Haute.
Steven P TempletonDepartment of Microbiology and Immunology, Indiana University School of Medicine - Terre Haute; sptemple@iupui.edu.
Indiana University School of MedicineIndiana State University · USIndiana University · US

Funding

Eosinophil activation in pulmonary aspergillosisR03AI122127 · NIAID · INDIANA UNIVERSITY INDIANAPOLIS · PI TEMPLETON, STEVEN P · 2016 to 2017
$138k
NIAID NIH HHS R03 AI122127
6 · The paper itself

Abstract

The quantification of lung fungal burden is critical for the determination of the relative levels of immune protection and fungal virulence in mouse models of pulmonary fungal infection. Although multiple methods are used to assess fungal burden, quantitative polymerase chain reaction (qPCR) of fungal DNA has emerged as a technique with several advantages over previous culture-based methods. Currently, a comprehensive assessment of lung pathology, leukocyte recruitment, fungal burden, and gene expression in mice with invasive aspergillosis (IA) necessitates the use of a significant number of experimental and control animals. Here the quantification of lung histological staining to determine fungal burden using a reduced number of animals was examined in detail. Lung sections were stained to identify fungal structures with Gomori's modified methanamine silver (GMS) staining. Images were taken from the GMS-stained sections from 4 discrete fields of each formalin-fixed paraffin-embedded lung. The GMS stained areas within each image were quantified using an image analysis program, and from this quantification, the mean percentage of stained area was determined for each sample. Using this strategy, eosinophil-deficient mice exhibited decreased fungal burden and disease with caspofungin therapy, while wild-type mice with IA did not improve with caspofungin. Similarly, fungal burden in mice lacking γδ T cells were also improved by caspofungin, as measured by qPCR and GMS quantification. GMS quantification is therefore introduced as a method for the determination of relative lung fungal burden that may ultimately reduce the quantity of experimental animals required for comprehensive studies of invasive aspergillosis.

Indexed as

AnimalsAspergillus fumigatusDisease Models, AnimalLungLung Diseases, FungalMice

Identifiers

PMID29578522
PMCPMC5931676
OpenAlexW2790687768

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.