Literature DB >> 29454652

Rapid one-step extraction method for the identification of molds using MALDI-TOF MS.

Paul M Luethy1, Adrian M Zelazny2.   

Abstract

Matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) has revolutionized fungal identification. Previously, we developed a MALDI-TOF MS mold extraction procedure and comprehensive database. While MALDI-TOF MS has become routine in a few laboratories, it has not yet become widespread. A major obstacle is the lack of a simple, reproducible and uniform protein extraction procedure. In this study, we developed and validated a rapid one-step protein extraction protocol for filamentous fungi. Excised molds were placed into tubes containing zirconia-silica beads and extraction solution without washing or ethanol inactivation steps. Extraction solutions containing different ratios of acetonitrile and formic acid were evaluated. Samples were then processed using a PowerLyzer high power bead based homogenizer and supernatants spotted for MALDI-TOF MS. The rapid method was evaluated prospectively and in parallel to our current mold extraction protocol for 3 months. Analysis of 106 clinical mold isolates resulted in an improved performance and a decrease in extraction time by 30 minutes to a total of 5 minutes of hands-on time. Acceptable identification scores (≥ 2.00) were achieved for up to 63.0% of mold isolates by the rapid method compared with 52.8% of isolates by the current routine protocol. Score comparisons between duplicate spots showed higher reproducibility of the rapid method as compared to the routine method. The rapid extraction method allows efficient analysis of clinical mold isolates both in scheduled batch runs and on an in-demand basis while providing a simple starting platform for laboratories adopting MALDI-TOF MS for mold identification.
Copyright © 2018. Published by Elsevier Inc.

Entities:  

Keywords:  Clinical mycology; MALDI-TOF MS; Mold identification; Rapid diagnostic methods

Mesh:

Year:  2018        PMID: 29454652      PMCID: PMC6510482          DOI: 10.1016/j.diagmicrobio.2018.01.015

Source DB:  PubMed          Journal:  Diagn Microbiol Infect Dis        ISSN: 0732-8893            Impact factor:   2.803


  5 in total

1.  Performance of a Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry Testing Algorithm for the Rapid Identification of Clinical Filamentous Molds.

Authors:  John A Fissel; Carrie K Holdren-Serrell; Warda Memon; Sean X Zhang
Journal:  Front Cell Infect Microbiol       Date:  2022-06-15       Impact factor: 6.073

2.  A New Filter Based Cultivation Approach for Improving Aspergillus Identification using Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF MS).

Authors:  Husam Salah; Anna Kolecka; Anna Rozaliyani; Retno Wahyuningsih; Saad J Taj-Aldeen; Teun Boekhout; Jos Houbraken
Journal:  Mycopathologia       Date:  2022-01-10       Impact factor: 2.574

3.  Discrimination of Tilletia controversa from the T. caries/T. laevis complex by MALDI-TOF MS analysis of teliospores.

Authors:  Monika K Forster; Somayyeh Sedaghatjoo; Wolfgang Maier; Berta Killermann; Ludwig Niessen
Journal:  Appl Microbiol Biotechnol       Date:  2022-01-17       Impact factor: 4.813

4.  Developing Two Rapid Protein Extraction Methods Using Focused-Ultrasonication and Zirconia-Silica Beads for Filamentous Fungi Identification by MALDI-TOF MS.

Authors:  Ya-Ting Ning; Wen-Hang Yang; Wei Zhang; Meng Xiao; Yao Wang; Jing-Jia Zhang; Ge Zhang; Si-Meng Duan; Ai-Ying Dong; Da-Wen Guo; Gui-Ling Zou; Hai-Nan Wen; Yan-Yan Guo; Li-Ping Chen; Miao Chai; Jing-Dong He; Qiong Duan; Li-Xia Zhang; Li Zhang; Ying-Chun Xu
Journal:  Front Cell Infect Microbiol       Date:  2021-07-06       Impact factor: 5.293

Review 5.  Practical Guidance for Clinical Microbiology Laboratories: Diagnosis of Ocular Infections.

Authors:  Sixto M Leal; Kyle G Rodino; W Craig Fowler; Peter H Gilligan
Journal:  Clin Microbiol Rev       Date:  2021-06-02       Impact factor: 50.129

  5 in total

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