Literature DB >> 17710617

DNA and the classical way: identification of medically important molds in the 21st century.

S Arunmozhi Balajee1, Lynne Sigler, Mary E Brandt.   

Abstract

The advent of the 21st century has seen significant advances in the methods and practices used for identification of medically important molds in the clinical microbiology laboratory. Historically, molds have been identified by using observations of colonial and microscopic morphology, along with tables, keys and textbook descriptions. This approach still has value for the identification of many fungal organisms, but requires expertise and can be problematic in determining a species identification that is timely and useful in the management of high-risk patients. For the increasing number of isolates that are uncommon, atypical, or unusual, DNA-based identification methods are being increasingly employed in many clinical laboratories. These methods include the commercially available GenProbe assay, methods based on the polymerase chain reaction such as single-step PCR, RAPD-PCR, rep-PCR, nested PCR, PCR-RFLP, PCR-EIA, and more recent microarray-based, Luminex technology-based, and real-time PCR-based methods. Great variation in assay complexity, targets, and detection methods can be found, and many of these methods have not been widely used or rigorously validated. The increasing availability of DNA sequencing chemistry has made comparative DNA sequence analysis an attractive alternative tool for fungal identification. DNA sequencing methodology can be purchased commercially or developed in-house; such methods display varying degrees of usefulness depending on the breadth and reliability of the databases used for comparison. The future success of sequencing-based approaches will depend on the choice of DNA target, the reliability of the result, and the availability of a validated sequence database for query and comparison. Future studies will be required to determine sequence homology breakpoints and to assess the accuracy of molecular-based species identification in various groups of medically important filamentous fungi. At this time, a polyphasic approach to identification that combines morphologic and molecular methods will ensure the greatest success in the management of patients with fungal infections.

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Year:  2007        PMID: 17710617     DOI: 10.1080/13693780701449425

Source DB:  PubMed          Journal:  Med Mycol        ISSN: 1369-3786            Impact factor:   4.076


  35 in total

1.  Systematic internal transcribed spacer sequence analysis for identification of clinical mold isolates in diagnostic mycology: a 5-year study.

Authors:  Diana E Ciardo; Katja Lucke; Alex Imhof; Guido V Bloemberg; Erik C Böttger
Journal:  J Clin Microbiol       Date:  2010-06-23       Impact factor: 5.948

Review 2.  Microbiome of the paranasal sinuses: Update and literature review.

Authors:  Jivianne T Lee; Daniel N Frank; Vijay Ramakrishnan
Journal:  Am J Rhinol Allergy       Date:  2016 Jan-Feb       Impact factor: 2.467

Review 3.  [Dermatophyte species. "New" taxonomy and "new" taxons].

Authors:  J Brasch
Journal:  Hautarzt       Date:  2008-12       Impact factor: 0.751

Review 4.  [Differential diagnosis for detection of hyphae in tissue].

Authors:  K Tintelnot
Journal:  Pathologe       Date:  2013-11       Impact factor: 1.011

Review 5.  Dual Invasive Infection with Phaeoacremonium parasiticum and Paraconiothyrium cyclothyrioides in a Renal Transplant Recipient: Case Report and Comprehensive Review of the Literature of Phaeoacremonium Phaeohyphomycosis.

Authors:  Marie-Alice Colombier; Alexandre Alanio; Blandine Denis; Giovanna Melica; Dea Garcia-Hermoso; Bénédicte Levy; Marie-Noëlle Peraldi; Denis Glotz; Stéphane Bretagne; Sébastien Gallien
Journal:  J Clin Microbiol       Date:  2015-04-22       Impact factor: 5.948

6.  Sequence-based identification of filamentous basidiomycetous fungi from clinical specimens: a cautionary note.

Authors:  Anna M Romanelli; Deanna A Sutton; Elizabeth H Thompson; Michael G Rinaldi; Brian L Wickes
Journal:  J Clin Microbiol       Date:  2009-12-30       Impact factor: 5.948

7.  High-throughput identification and quantification of Candida species using high resolution derivative melt analysis of panfungal amplicons.

Authors:  Tasneem Mandviwala; Rupali Shinde; Apoorv Kalra; Jack D Sobel; Robert A Akins
Journal:  J Mol Diagn       Date:  2009-12-10       Impact factor: 5.568

8.  Detection of fungal DNA in human body fluids and tissues during a multistate outbreak of fungal meningitis and other infections.

Authors:  Lalitha Gade; Christina M Scheel; Cau D Pham; Mark D Lindsley; Naureen Iqbal; Angela Ahlquist Cleveland; Anne M Whitney; Shawn R Lockhart; Mary E Brandt; Anastasia P Litvintseva
Journal:  Eukaryot Cell       Date:  2013-03-01

9.  Clinical significance of filamentous basidiomycetes illustrated by isolates of the novel opportunist Ceriporia lacerata from the human respiratory tract.

Authors:  Anuradha Chowdhary; Kshitij Agarwal; Shallu Kathuria; Pradeep Kumar Singh; P Roy; S N Gaur; G S de Hoog; Jacques F Meis
Journal:  J Clin Microbiol       Date:  2012-12-12       Impact factor: 5.948

10.  Identification of fungal pathogens in a patient with acute myelogenic leukemia using a pathogen detection array technology.

Authors:  Sagarika Banerjee; Kristen N Peck; Michael D Feldman; Mindy G Schuster; James C Alwine; Erle S Robertson
Journal:  Cancer Biol Ther       Date:  2016-04-02       Impact factor: 4.742

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