Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

Genotypic identification of Fusarium species from ocular sources: comparison to morphologic classification and antifungal sensitivity testing (an AOS thesis).

Authors: Eduardo C, Alfonso;

Genotypic identification of Fusarium species from ocular sources: comparison to morphologic classification and antifungal sensitivity testing (an AOS thesis).

Abstract

Ocular infections caused by fungal organisms can cause significant ocular morbidity, particularly when diagnosis and treatment are delayed. Rapid and accurate identification of Fusarium species at the subgenus level using current diagnostic standards is timely and insensitive. The purpose of this study is to examine the usefulness of polymerase chain reaction (PCR) analysis of the internal transcribed spacer (ITS) regions (ITS1, 5.8S, and ITS2) in detecting and differentiating Fusarium species from isolates of ocular infections, and to assess the correlation between the genotypic and morphologic classification.Fifty-eight isolates from 52 patients diagnosed with Fusarium ocular infections were retrieved from storage at the Bascom Palmer Eye Institute's ocular microbiology laboratory. Morphologic classification was determined at both a general and a reference microbiology laboratory. DNA was extracted and purified, and the ITS region was amplified and sequenced. Following DNA sequences, alignment and phylogenetic analysis were done. Susceptibility to antifungal drugs was measured according to the Clinical and Laboratory Standards Institute reference method.Sequence analysis demonstrated 15 unique sequences among the 58 isolates. The grouping showed that the 58 isolates were distributed among 4 main species complexes. At the species level, morphologic classification correlated with genotypic classification in 25% and 97% of the isolates in a general microbiology and a reference mycology laboratory, respectively.The sequence variation within the ITS provides a sufficient quantitative basis for the development of a molecular diagnostic approach to the Fusarium pathogens isolated from ocular infections. Morphology based on microscopic and macroscopic observations yields inconsistent results, particularly at nonreference laboratories, emphasizing the need for a more reproducible test with less user-dependent variability. Fusarium solani tends to be more resistant to certain antifungals (azoles).

Related Organizations
Keywords

Antifungal Agents, Genotype, Microbial Sensitivity Tests, Sequence Analysis, DNA, Polymerase Chain Reaction, Fusarium, Mycoses, Humans, DNA, Intergenic, DNA, Fungal, Mycological Typing Techniques, Eye Infections, Fungal

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    11
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Top 10%
Top 10%
Top 10%
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!