Biological characterization of Kerstersia gyiorum and the construction of the self-built database for mass spectrometry
10.3760/cma.j.cn114452-20221219-00742
- VernacularTitle:腿伤凯斯特菌生物学特性及质谱自建库的建立
- Author:
Yixue WU
1
;
Zhaohui SUN
;
Xiaoyan HUANG
;
Youyuan HUANG
;
Xi CHEN
;
Lidan CHEN
Author Information
1. 解放军南部战区总医院检验科，广州 510010
- Keywords:
Mass spectrometry;
Kerstersia gyiorum;
Self-built database
- From:
Chinese Journal of Laboratory Medicine
2023;46(2):197-202
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the biological characteristics of Kerstersia gyiorum and to support the rapid and accurate identification of Kerstersia gyiorum on mass spectrometry by using Matrix-Assisted Laser Desorption/Ionization Time of Flight Mass Spectrometry (MALDI-TOF-MS) for self-built libraries. Methods:From November 2020 to February 2022, thirty-eight strains of Kerstersia gyiorum isolated from clinical patients of the General Hospital of Southern Theatre Command were collected and identified by the fully automated microbial analysis system (Vitek-2 Compact), the automatic microbial mass spectrometry detection system (Vitek-MS) and the 16S ribosomal RNA sequencing. Thirteen strains were randomly selected and mass spectra were obtained by using Vitek-MS. The SARAMIS software was used to construct a Kerstersia gyiorum library, and the remaining 25 strains were used to validate the constructed library. Results:The Vitek-2 Compact and Vitek MS were unable to identify Kerstersia gyiorum; 13 strains were successfully built into a self-built library of Kerstersia gyiorum by SARAMIS software, and 25 validated strains were identified as Kerstersia gyiorum with a confidence level of more than 99.0% and 100% (25/25) accuracy. Conclusion:Kerstersia gyiorum has unique mass spectrometry profile, which can be identified as species quickly and accurately by the establishment of the self-constructed library of profiles.
