Literature DB >> 22342013

New strategy for rapid diagnosis and characterization of keratomycosis.

Pablo Goldschmidt1, Sandrine Degorge, Djida Benallaoua, Oudy Semoun, Enwar Borsali, Anne Le Bouter, Laurence Batellier, Vincent Borderie, Laurent Laroche, Christine Chaumeil.   

Abstract

PURPOSE: The first-line therapy for patients with keratitis is different for bacteria, filamentous fungi, and yeasts. The timely onset of treatments depends on rapid and accurate diagnosis. However, fungal cultures produce high rates of false-negative results. Nucleic acid amplification techniques (polymerase chain reaction [PCR]) improve fungal diagnosis performance, but they require complex postamplification procedures to differentiate filamentous fungi from yeasts or to identify the agent. The objective of this work was to develop a new diagnostic strategy based on real-time PCR high-resolution melting (HRM) analysis that in 1 run (a) detects and semiquantifies yeasts and filamentous fungi, (b) differentiates yeasts from filamentous fungi, and (c) discriminates among relevant species of yeasts.
DESIGN: Experimental study to compare HRM diagnosis performances with microscopic examination of corneal scrapings and fungal culture. PARTICIPANTS AND CONTROLS: High-resolution melting detection limits and specificity were assessed with (a) isolated strains; (b) agents (other than fungi) producing keratitis; (c) corneal scrapings from fungal keratitis (culture positive and negative); and (d) corneal scrapings from bacterial, viral, or Acanthamoeba keratitis.
METHODS: The DNA extracted from cornea specimens was mixed with primers diluted in the MeltDoctor HRM Master Mix (Applied Biosystems, Paris, France) in 2 tubes, the first for yeasts, containing the forward primer CandUn (5'CATGCCTGTTTGAGCGTC) and the reverse primer FungUn2 (5'TCCTCCGCTTATTGATATGCT), and the second for filamentous fungi, containing the forward primer FilamUn1 (5'TGCCTGTCCGAGCGTCAT) and FungUn2. Molecular probes were not necessary. The yields of DNA extraction and the PCR inhibitors were monitored by adding internal controls to each sample. MAIN OUTCOME MEASURES: Detection of fungi in corneal samples by HRM.
RESULTS: High-resolution melting consistently detects the equivalent of 0.1 colony-forming units /ml of yeasts and filamentous fungi, differentiates filamentous fungi from yeasts, and discriminates among relevant species of yeasts. High-resolution melting sensitivity and specificity were 100% for culture-positive samples, detecting and characterizing fungi in 7 of 10 culture-negative suspected fungal keratitis.
CONCLUSIONS: High-resolution melting is a new, sensitive, specific, and inexpensive test that detects fungi and differentiates filamentous fungi from yeasts directly from clinical specimens in less than 2.30 hours after DNA extraction.
Copyright © 2012 American Academy of Ophthalmology. Published by Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22342013     DOI: 10.1016/j.ophtha.2011.10.038

Source DB:  PubMed          Journal:  Ophthalmology        ISSN: 0161-6420            Impact factor:   12.079


  5 in total

1.  Role of molecular diagnostics in ocular microbiology.

Authors:  Parisa Taravati; Deborah Lam; Russell N Van Gelder
Journal:  Curr Ophthalmol Rep       Date:  2013-12-01

2.  Identification of six New World Leishmania species through the implementation of a High-Resolution Melting (HRM) genotyping assay.

Authors:  Carolina Hernández; Catalina Alvarez; Camila González; Martha Stella Ayala; Cielo Maritza León; Juan David Ramírez
Journal:  Parasit Vectors       Date:  2014-11-14       Impact factor: 3.876

3.  High resolution melting based method for rapid discriminatory diagnosis of co-infecting Leptomonas seymouri in Leishmania donovani-induced leishmaniasis.

Authors:  Kavita Ahuja; Abhishek Vats; Mirza Adil Beg; K K G D U L Kariyawasam; Ashok Chaudhury; Mitali Chatterjee; Nadira D Karunaweera; Angamuthu Selvapandiyan
Journal:  Parasitol Int       Date:  2019-12-27       Impact factor: 2.106

4.  Enzymatic treatment of specimens before DNA extraction directly influences molecular detection of infectious agents.

Authors:  Pablo Goldschmidt; Sandrine Degorge; Lilia Merabet; Christine Chaumeil
Journal:  PLoS One       Date:  2014-06-17       Impact factor: 3.240

5.  A deep learning approach in diagnosing fungal keratitis based on corneal photographs.

Authors:  Ming-Tse Kuo; Benny Wei-Yun Hsu; Yu-Kai Yin; Po-Chiung Fang; Hung-Yin Lai; Alexander Chen; Meng-Shan Yu; Vincent S Tseng
Journal:  Sci Rep       Date:  2020-09-02       Impact factor: 4.379

  5 in total

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