Developing Two Rapid Protein Extraction Methods Using Focused-Ultrasonication and Zirconia-Silica Beads for Filamentous Fungi Identification by MALDI-TOF MS
Filamentous fungi identification by Matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) has been challenging due to the lack of simple and rapid protein extraction methods and insufficient species coverage in the database. In this study, we created two rapid p...
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Frontiers Media S.A.
2021-07-01
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Online Access: | https://www.frontiersin.org/articles/10.3389/fcimb.2021.687240/full |
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English |
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DOAJ |
author |
Ya-Ting Ning Ya-Ting Ning Ya-Ting Ning Wen-Hang Yang Wen-Hang Yang Wen-Hang Yang Wei Zhang Wei Zhang Meng Xiao Meng Xiao Meng Xiao Yao Wang Yao Wang Jing-Jia Zhang Jing-Jia Zhang Ge Zhang Ge Zhang Si-Meng Duan 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 Li Zhang Ying-Chun Xu Ying-Chun Xu |
spellingShingle |
Ya-Ting Ning Ya-Ting Ning Ya-Ting Ning Wen-Hang Yang Wen-Hang Yang Wen-Hang Yang Wei Zhang Wei Zhang Meng Xiao Meng Xiao Meng Xiao Yao Wang Yao Wang Jing-Jia Zhang Jing-Jia Zhang Ge Zhang Ge Zhang Si-Meng Duan 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 Li Zhang Ying-Chun Xu Ying-Chun Xu Developing Two Rapid Protein Extraction Methods Using Focused-Ultrasonication and Zirconia-Silica Beads for Filamentous Fungi Identification by MALDI-TOF MS Frontiers in Cellular and Infection Microbiology filamentous fungi MALDI-TOF MS protein extraction sample processing zirconia-silica beads focused-ultrasonication |
author_facet |
Ya-Ting Ning Ya-Ting Ning Ya-Ting Ning Wen-Hang Yang Wen-Hang Yang Wen-Hang Yang Wei Zhang Wei Zhang Meng Xiao Meng Xiao Meng Xiao Yao Wang Yao Wang Jing-Jia Zhang Jing-Jia Zhang Ge Zhang Ge Zhang Si-Meng Duan 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 Li Zhang Ying-Chun Xu Ying-Chun Xu |
author_sort |
Ya-Ting Ning |
title |
Developing Two Rapid Protein Extraction Methods Using Focused-Ultrasonication and Zirconia-Silica Beads for Filamentous Fungi Identification by MALDI-TOF MS |
title_short |
Developing Two Rapid Protein Extraction Methods Using Focused-Ultrasonication and Zirconia-Silica Beads for Filamentous Fungi Identification by MALDI-TOF MS |
title_full |
Developing Two Rapid Protein Extraction Methods Using Focused-Ultrasonication and Zirconia-Silica Beads for Filamentous Fungi Identification by MALDI-TOF MS |
title_fullStr |
Developing Two Rapid Protein Extraction Methods Using Focused-Ultrasonication and Zirconia-Silica Beads for Filamentous Fungi Identification by MALDI-TOF MS |
title_full_unstemmed |
Developing Two Rapid Protein Extraction Methods Using Focused-Ultrasonication and Zirconia-Silica Beads for Filamentous Fungi Identification by MALDI-TOF MS |
title_sort |
developing two rapid protein extraction methods using focused-ultrasonication and zirconia-silica beads for filamentous fungi identification by maldi-tof ms |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Cellular and Infection Microbiology |
issn |
2235-2988 |
publishDate |
2021-07-01 |
description |
Filamentous fungi identification by Matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) has been challenging due to the lack of simple and rapid protein extraction methods and insufficient species coverage in the database. In this study, we created two rapid protein extraction methods for filamentous fungi: a one-step zirconia-silica beads method (ZSB) and a focused-ultrasonication method (FUS). The identification accuracy of two methods were evaluated with the VITEK MS, as well as number of spectra peaks and signal-to-noise ratio (S/N) with M-Discover 100 MALDI-TOF MS compared to the routine method. The better method was applied to build a filamentous fungi in-house spectra library for the M-Discover 100 MS, and then another one and routine method were performed in parallel to verify the accuracy and commonality of the in-house library. Using the two optimized methods, the dedicated operating time before MALDI-TOF MS analysis was reduced from 30 min to 7 (ZSB) or 5 (FUS) min per sample, with only a few seconds added for each additional strain. And both two methods identified isolates from most mold types equal to or better than the routine method, and the total correct identification rate using VITEK MS was 79.67, 76.42, and 76.42%, respectively. On the other hand, the two rapid methods generally achieved higher maximum and minimum S/N ratios with these isolates tested as compared to the routine method. Besides, the ZSB method produced overall mean of maximum and minimum S/N ratio higher than that by FUS. An in-house library of M-Discover MS was successfully built from 135 isolates from 42 species belonging to 18 genera using the ZSB method. Analysis of 467 isolates resulted in 97.22% correctly identified isolates to the species level by the ZSB method versus 95.50% by the routine method. The two novel methods are time- and cost-effective and allow efficient identification of filamentous fungi while providing a simplified procedure to build an in-house library. Thus, more clinical laboratories may consider adopting MALDI-TOF MS for filamentous fungi identification in the future. |
topic |
filamentous fungi MALDI-TOF MS protein extraction sample processing zirconia-silica beads focused-ultrasonication |
url |
https://www.frontiersin.org/articles/10.3389/fcimb.2021.687240/full |
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doaj-6acdc08207214742a961644eda9f60612021-07-06T07:40:54ZengFrontiers Media S.A.Frontiers in Cellular and Infection Microbiology2235-29882021-07-011110.3389/fcimb.2021.687240687240Developing Two Rapid Protein Extraction Methods Using Focused-Ultrasonication and Zirconia-Silica Beads for Filamentous Fungi Identification by MALDI-TOF MSYa-Ting Ning0Ya-Ting Ning1Ya-Ting Ning2Wen-Hang Yang3Wen-Hang Yang4Wen-Hang Yang5Wei Zhang6Wei Zhang7Meng Xiao8Meng Xiao9Meng Xiao10Yao Wang11Yao Wang12Jing-Jia Zhang13Jing-Jia Zhang14Ge Zhang15Ge Zhang16Si-Meng Duan17Si-Meng Duan18Ai-Ying Dong19Da-Wen Guo20Gui-Ling Zou21Hai-Nan Wen22Yan-Yan Guo23Li-Ping Chen24Miao Chai25Jing-Dong He26Qiong Duan27Li-Xia Zhang28Li Zhang29Li Zhang30Ying-Chun Xu31Ying-Chun Xu32Department of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaGraduate School, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaBeijing Key Laboratory for Mechanisms Research and Precision Diagnosis of Invasive Fungal Diseases, Beijing, ChinaDepartment of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaGraduate School, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaBeijing Key Laboratory for Mechanisms Research and Precision Diagnosis of Invasive Fungal Diseases, Beijing, ChinaGraduate School, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaClinical Microbiology Laboratory, The First Affiliated Hospital of Hebei North University, Zhangjiakou, ChinaDepartment of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaGraduate School, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaBeijing Key Laboratory for Mechanisms Research and Precision Diagnosis of Invasive Fungal Diseases, Beijing, ChinaDepartment of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaBeijing Key Laboratory for Mechanisms Research and Precision Diagnosis of Invasive Fungal Diseases, Beijing, ChinaDepartment of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaBeijing Key Laboratory for Mechanisms Research and Precision Diagnosis of Invasive Fungal Diseases, Beijing, ChinaDepartment of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaBeijing Key Laboratory for Mechanisms Research and Precision Diagnosis of Invasive Fungal Diseases, Beijing, ChinaDepartment of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaBeijing Key Laboratory for Mechanisms Research and Precision Diagnosis of Invasive Fungal Diseases, Beijing, ChinaDepartment of Clinical Laboratory, North China University of Science and Technology Affiliated Hospital, Tangshan, ChinaDepartment of Clinical Laboratory, The First Affiliated Hospital of Harbin Medical University, Harbin, ChinaDepartment of Clinical Laboratory, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, ChinaDepartment of Laboratory, The Affiliated Hospital of Chengde Medical University, Chengde, ChinaDepartment of Clinical Laboratory, Tangshan Worker’s Hospital, Tangshan, China0Department of Laboratory Medicine, Mudanjiang First People’s Hospital, Heilongjiang, China1Department of Clinical Laboratory, The First Hospital of Harbin, Harbin, China2Department of Clinical Laboratory, Tianjin Chest Hospital, Tianjin, China3Department of Clinical Laboratory, Jinling Province People’s Hospital, Jinling, China4Department of Clinical Laboratory, Shanxi Provincial People’s Hospital, Taiyuan, ChinaDepartment of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaBeijing Key Laboratory for Mechanisms Research and Precision Diagnosis of Invasive Fungal Diseases, Beijing, ChinaDepartment of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaBeijing Key Laboratory for Mechanisms Research and Precision Diagnosis of Invasive Fungal Diseases, Beijing, ChinaFilamentous fungi identification by Matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) has been challenging due to the lack of simple and rapid protein extraction methods and insufficient species coverage in the database. In this study, we created two rapid protein extraction methods for filamentous fungi: a one-step zirconia-silica beads method (ZSB) and a focused-ultrasonication method (FUS). The identification accuracy of two methods were evaluated with the VITEK MS, as well as number of spectra peaks and signal-to-noise ratio (S/N) with M-Discover 100 MALDI-TOF MS compared to the routine method. The better method was applied to build a filamentous fungi in-house spectra library for the M-Discover 100 MS, and then another one and routine method were performed in parallel to verify the accuracy and commonality of the in-house library. Using the two optimized methods, the dedicated operating time before MALDI-TOF MS analysis was reduced from 30 min to 7 (ZSB) or 5 (FUS) min per sample, with only a few seconds added for each additional strain. And both two methods identified isolates from most mold types equal to or better than the routine method, and the total correct identification rate using VITEK MS was 79.67, 76.42, and 76.42%, respectively. On the other hand, the two rapid methods generally achieved higher maximum and minimum S/N ratios with these isolates tested as compared to the routine method. Besides, the ZSB method produced overall mean of maximum and minimum S/N ratio higher than that by FUS. An in-house library of M-Discover MS was successfully built from 135 isolates from 42 species belonging to 18 genera using the ZSB method. Analysis of 467 isolates resulted in 97.22% correctly identified isolates to the species level by the ZSB method versus 95.50% by the routine method. The two novel methods are time- and cost-effective and allow efficient identification of filamentous fungi while providing a simplified procedure to build an in-house library. Thus, more clinical laboratories may consider adopting MALDI-TOF MS for filamentous fungi identification in the future.https://www.frontiersin.org/articles/10.3389/fcimb.2021.687240/fullfilamentous fungiMALDI-TOF MSprotein extractionsample processingzirconia-silica beadsfocused-ultrasonication |