Paul S, Singh P, Sharma S, Prasad GS, Rudramurthy SM, Chakrabarti A, Ghosh AK. MALDI-TOF MS-Based Identification of Melanized Fungi is Faster and Reliable After the Expansion of In-House Database.
Proteomics Clin Appl 2018;
13:e1800070. [PMID:
30141266 DOI:
10.1002/prca.201800070]
[Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2018] [Revised: 07/28/2018] [Indexed: 01/27/2023]
Abstract
PURPOSE
Invasive fungal infections caused by melanized fungi are a growing concern. Rapid and reliable identification plays an important role in optimizing therapy. Matrix-assisted laser desorption/ionization-time-of-flight mass spectrometry (MALDI-TOF MS)-based identification has emerged as a faster and more accurate diagnostic technique. However, lack of a protein extraction protocol and limited database restricts the identification of melanized fungi by MALDI-TOF MS. The study is designed to standardize protein extraction protocol, to enrich the existing, and to create an in-house database for the rapid identification of melanized fungi.
EXPERIMENTAL DESIGN
In this study, 59 sequence-confirmed, melanized fungi were used to expand and to create an in-house database using a modified protein extraction protocol. A total of 117 clinical isolates are further used to validate the created database.
RESULT
Using existing Bruker database, only 29(24.8%) out of 117 moulds could be identified. However, all the isolates are identified accurately by supplementing the Bruker database with the created in-house database. MALDI-TOF MS takes significantly lesser time for identification compared to DNA sequencing.
CONCLUSION AND CLINICAL RELEVANCE
An expanded database with modified protein extraction protocol can reduce significant time to identify melanized fungi by MALDI-TOF MS.
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