Evidence map›Paper›PMID 24709390›Full record

ReviewJournal of immunological methods2014

Overview of vertebrate animal models of fungal infection.

Tobias M Hohl

Abstract readReview
In one paragraph

Review in Journal of immunological methods, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
–field-weighted citation impact
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

40 citing papers in PubMed.

  1. Journal of medical microbiology · 2026
    Review
  2. Review
  3. Pathogens (Basel, Switzerland) · 2024
    Review
  4. Review
  5. Models for Inducing Experimental Cryptococcosis in Mice.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  6. Antifungal peptides from living organisms.Frontiers in microbiology · 2024
    Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Essential Oils in Respiratory Mycosis: A Review.Molecules (Basel, Switzerland) · 2022
    Review
  13. Review
  14. Article
  15. Current Models to Study theFrontiers in fungal biology · 2022
    Review
  16. Article
  17. Review
  18. The Added Value of Longitudinal Imaging for PreclinicalAntimicrobial agents and chemotherapy · 2020
    Article
  19. Microorganisms · 2020
    Review
  20. 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

1 author.

Tobias M HohlDepartment of Medicine, Infectious Diseases Service, Memorial Sloan-Kettering Cancer Center, 1275 York Avenue, Box 9, New York, NY 10075, United States. Electronic address: hohlt@mskcc.org.

Funding

INITIATION OF THE IMMUNE RESPONSE TO ASPERGILLUS FUMIGATUSR01AI093808 · NIAID · SLOAN-KETTERING INST CAN RESEARCH · PI HOHL, TOBIAS M · 2011 to 2020
$4.9M
INITIATION OF THE IMMUNE RESPONSE TO ASPERGILLUS FUMIGATUSR37AI093808 · NIAID · SLOAN-KETTERING INST CAN RESEARCH · PI TOBIAS M HOHL · 2021 to 2026
$4.2M
Dissection of Macrophage Antifungal Activity against Aspergillus fumigatusR21AI105617 · NIAID · SLOAN-KETTERING INST CAN RESEARCH · PI HOHL, TOBIAS M · 2013 to 2014
$473k
NIAID NIH HHS R01 AI093808NIAID NIH HHS R21 AI105617NIAID NIH HHS R37 AI093808
6 · The paper itself

Abstract

Fungi represent emerging infectious threats to human populations worldwide. Mice and other laboratory animals have proved invaluable in modeling clinical syndromes associated with superficial and life-threatening invasive mycoses. This review outlines salient features of common vertebrate animal model systems to study fungal pathogenesis, host antifungal immune responses, and antifungal compounds.

Indexed as

Disease Models, AnimalMycosesAnimalsHumansAnimal modelFungusImmune responseMousePathogenesisYeast

Identifiers

PMID24709390
PMCPMC4163114

What OpenQuestion holds

Textmetadata
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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.