Literature DB >> 26899829

Development of a new protocol for rapid bacterial identification and susceptibility testing directly from urine samples.

Y Zboromyrska1, E Rubio2, I Alejo2, A Vergara2, A Mons2, I Campo2, J Bosch1, F Marco1, J Vila3.   

Abstract

The current gold standard method for the diagnosis of urinary tract infections (UTI) is urine culture that requires 18-48 h for the identification of the causative microorganisms and an additional 24 h until the results of antimicrobial susceptibility testing (AST) are available. The aim of this study was to shorten the time of urine sample processing by a combination of flow cytometry for screening and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) for bacterial identification followed by AST directly from urine. The study was divided into two parts. During the first part, 675 urine samples were processed by a flow cytometry device and a cut-off value of bacterial count was determined to select samples for direct identification by MALDI-TOF-MS at ≥5 × 10(6) bacteria/mL. During the second part, 163 of 1029 processed samples reached the cut-off value. The sample preparation protocol for direct identification included two centrifugation and two washing steps. Direct AST was performed by the disc diffusion method if a reliable direct identification was obtained. Direct MALDI-TOF-MS identification was performed in 140 urine samples; 125 of the samples were positive by urine culture, 12 were contaminated and 3 were negative. Reliable direct identification was obtained in 108 (86.4%) of the 125 positive samples. AST was performed in 102 identified samples, and the results were fully concordant with the routine method among 83 monomicrobial infections. In conclusion, the turnaround time of the protocol described to diagnose UTI was about 1 h for microbial identification and 18-24 h for AST.
Copyright © 2016 European Society of Clinical Microbiology and Infectious Diseases. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Antimicrobial susceptibility; bacterial identification; matrix-assisted laser desorption ionization time-of-flight mass spectrometry; urinary tract infection; urine

Mesh:

Year:  2016        PMID: 26899829     DOI: 10.1016/j.cmi.2016.01.025

Source DB:  PubMed          Journal:  Clin Microbiol Infect        ISSN: 1198-743X            Impact factor:   8.067


  17 in total

1.  Direct Detection and Identification of Bacterial Pathogens from Urine with Optimized Specimen Processing and Enhanced Testing Algorithm.

Authors:  Bin Huang; Lei Zhang; Weizheng Zhang; Kang Liao; Shihong Zhang; Zhiquan Zhang; Xingyan Ma; Jialong Chen; Xiuhong Zhang; Pinghua Qu; Shangwei Wu; Cha Chen; Yi-Wei Tang
Journal:  J Clin Microbiol       Date:  2017-03-01       Impact factor: 5.948

Review 2.  New and developing diagnostic technologies for urinary tract infections.

Authors:  Michael Davenport; Kathleen E Mach; Linda M Dairiki Shortliffe; Niaz Banaei; Tza-Huei Wang; Joseph C Liao
Journal:  Nat Rev Urol       Date:  2017-03-01       Impact factor: 14.432

3.  Direct Identification of Pathogens in Urine by Use of a Specific Matrix-Assisted Laser Desorption Ionization-Time of Flight Spectrum Database.

Authors:  Lucile Pinault; Eric Chabrière; Didier Raoult; Florence Fenollar
Journal:  J Clin Microbiol       Date:  2019-03-28       Impact factor: 5.948

4.  Accuracy of matrix-assisted laser desorption ionization time-of-flight mass spectrometry for direct bacterial identification from culture-positive urine samples.

Authors:  Bin Sun; Wei Wang; Ping Ma; Bing Gu
Journal:  Ann Transl Med       Date:  2021-04

Review 5.  Proteomics progresses in microbial physiology and clinical antimicrobial therapy.

Authors:  B Chen; D Zhang; X Wang; W Ma; S Deng; P Zhang; H Zhu; N Xu; S Liang
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2016-11-04       Impact factor: 3.267

6.  Identification of pathogens from native urine samples by MALDI-TOF/TOF tandem mass spectrometry.

Authors:  Damir Oros; Marina Ceprnja; Jurica Zucko; Mario Cindric; Amela Hozic; Jasenka Skrlin; Karmela Barisic; Ena Melvan; Ksenija Uroic; Blazenka Kos; Antonio Starcevic
Journal:  Clin Proteomics       Date:  2020-06-23       Impact factor: 3.988

7.  Diagnosing Emerging Fungal Threats: A One Health Perspective.

Authors:  Pria N Ghosh; Matthew C Fisher; Kieran A Bates
Journal:  Front Genet       Date:  2018-09-11       Impact factor: 4.599

8.  A multicentre study investigating parameters which influence direct bacterial identification from urine.

Authors:  Yuliya Zboromyrska; Jordi Bosch; Jesus Aramburu; Juan Cuadros; Carlos García-Riestra; Julia Guzmán-Puche; Carmen Liébana Martos; Elena Loza; María Muñoz-Algarra; Carlos Ruiz de Alegría; Victoria Sánchez-Hellín; Jordi Vila
Journal:  PLoS One       Date:  2018-12-11       Impact factor: 3.240

9.  Matrix-Assisted Laser Desorption Ionization Time-of-Flight Mass Spectrometry for Identification of Microorganisms in Clinical Urine Specimens after Two Pretreatments.

Authors:  Deru Lei; Peiying Chen; Xueting Chen; Yujie Zong; Xiangyang Li
Journal:  Pol J Microbiol       Date:  2021

10.  Diagnostic Accuracy of MALDI-TOF Mass Spectrometry for the Direct Identification of Clinical Pathogens from Urine.

Authors:  Min Tang; Jia Yang; Ying Li; Luhua Zhang; Ying Peng; Wenbi Chen; Jinbo Liu
Journal:  Open Med (Wars)       Date:  2020-04-04
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