Evidence map›Paper›PMID 34295837›Full record

ArticleFrontiers in cellular and infection microbiology2021

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

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 and 10 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Review
  2. Rapid identification of Sporothrix brasiliensis by MALDI-TOF MS directly from clinical cultures in an Amazonian epidemic setting.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2026
    Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Ya-Ting NingDepartment 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, China.
Wen-Hang YangDepartment 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, China.
Wei ZhangGraduate School, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Meng XiaoDepartment 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, China.
Yao WangDepartment 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, China.
Jing-Jia ZhangDepartment 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, China.
Ge ZhangDepartment 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, China.
Si-Meng DuanDepartment 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, China.
Ai-Ying DongDepartment of Clinical Laboratory, North China University of Science and Technology Affiliated Hospital, Tangshan, China.
Da-Wen GuoDepartment of Clinical Laboratory, The First Affiliated Hospital of Harbin Medical University, Harbin, China.
Gui-Ling ZouDepartment of Clinical Laboratory, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, China.
Hai-Nan WenDepartment of Laboratory, The Affiliated Hospital of Chengde Medical University, Chengde, China.
Yan-Yan GuoDepartment of Clinical Laboratory, Tangshan Worker's Hospital, Tangshan, China.
Li-Ping ChenDepartment of Laboratory Medicine, Mudanjiang First People's Hospital, Heilongjiang, China.
Miao ChaiDepartment of Clinical Laboratory, The First Hospital of Harbin, Harbin, China.
Jing-Dong HeDepartment of Clinical Laboratory, Tianjin Chest Hospital, Tianjin, China.
Qiong DuanDepartment of Clinical Laboratory, Jinling Province People's Hospital, Jinling, China.
Li-Xia ZhangDepartment of Clinical Laboratory, Shanxi Provincial People's Hospital, Taiyuan, China.
Li ZhangDepartment 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, China.
Ying-Chun XuDepartment 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, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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

Indexed as

MycosesFungiHumansSilicon DioxideSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationZirconiumSilicon DioxideZirconiumzirconium oxidefilamentous fungifocused-ultrasonicationin-house libraryMALDI-TOF MSprotein extractionsample processingzirconia-silica beads

Identifiers

PMID34295837
PMCPMC8290857

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.