Differentiation of Acinetobacter Genomic Species 13BJ/14TU from Acinetobacter haemolyticus by Use of Matrix-Assisted Laser Desorption Ionization–Time of Flight Mass Spectrometry (MALDI-TOF MS)

Toh, Benjamin E W; Zowawi, Hosam M.; Křížová, Lenka; Paterson, David L.; Kamolvit, Witchuda; Peleg, Anton Y.; Sidjabat, Hanna E.; Nemec, Alexandr; Pflüger, Valentin; Huber, Charlotte

doi:10.1128/jcm.03468-14

Cited by 7 publications

(4 citation statements)

References 13 publications

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“…An isolate of Acinetobacter genomospecies 13BJ/14TU by PAPMID™ was identified by SARAMIS™ as Acinetobacter species and as Acinetobacter baumannii by Vitek 2™. The Acinetobacter genomospecies 13BJ/14TU have been shown to be intrinsically resistant to colistin hence the significance of correctly differentiating it from other Acinetobacter species [ 10 , 19 ].…”

Section: Discussionmentioning

confidence: 99%

“…Ziegler et al found that it performed as well as 16S rRNA sequencing in the correct identification of root nodule bacteria [ 8 ]. This approach has also been shown to differentiate strains of Acinetobacter Genomic species 13BJ/14TU that are intrinsically resistant to polymixins from Acinetobacter haemolyticus [ 10 ]. This database therefore has the ability to be an easily accessible and affordable alternative to gene sequencing especially for resource poor settings in the developing world.…”

Section: Introductionmentioning

confidence: 99%

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Comparison of biomarker based Matrix Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry (MALDI-TOF MS) and conventional methods in the identification of clinically relevant bacteria and yeast

Kassim

Pflüger²,

Premji

et al. 2017

BMC Microbiol

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BackgroundMALDI-TOF MS is an analytical method that has recently become integral in the identification of microorganisms in clinical laboratories. It relies on databases that majorly employ pattern recognition or fingerprinting. Biomarker based databases have also been developed and there is optimism that these may be superior to pattern recognition based databases. This study compared the performance of ribosomal biomarker based MALDI-TOF MS and conventional methods in the identification of selected bacteria and yeast.MethodsThe study was a cross sectional study identifying clinically relevant bacteria and yeast isolated from varied clinical specimens submitted to a clinical laboratory. The identification of bacteria using conventional Vitek 2™ automated system, serotyping and MALDI-TOF MS was performed as per standard operating procedures. Comparison of sensitivities were then carried out using Pearson Chi-Square test and p-value of <0.05 was considered statistically significant. Secondary outcomes analyzed included the major and minor error rates.ResultsOf the 383 isolates MALDI-TOF MS and conventional methods identified 97.6 and 95.7% (p = 0.231) to the genus level and 97.4 and 88.0% (p = 0.000) to the species level respectively. Biomarker based MALDI-TOF MS was significantly superior to Vitek 2™ in the identification of Gram negative bacteria and Gram positive bacteria to the species level. For the Gram positive bacteria, significant difference was observed in the identification of Coagulase negative Staphylococci (p = 0.000) and Enterococcus (p = 0.008). Significant difference was also observed between serotyping and MALDI-TOF MS (p = 0.005) and this was attributed to the lack of identification of Shigella species by MALDI-TOF MS. There was no significant difference observed in the identification of yeast however some species of Candida were unidentified by MALDI-TOF MS.ConclusionBiomarker based MALDI-TOF MS had good performance in a clinical laboratory setting with high sensitivities in the identification of clinically relevant microorganisms.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Comparison of biomarker based Matrix Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry (MALDI-TOF MS) and conventional methods in the identification of clinically relevant bacteria and yeast

Kassim

Pflüger²,

Premji

et al. 2017

BMC Microbiol

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“…According to AST presumptive results, isolates with at least one inhibition halo lower than 16 mm in whatever tested antimicrobial, except ATM, were selected for identi cation by Matrix-assisted laser desorption ionization-time of ight (MALDI-TOF) mass spectrometry (20). The resulting mass ngerprints were interpreted using SARAMIS™ (AnagnosTec, Potsdam-Golm, Germany) and PAPMID™ (putative assigned protein masses for identi cation database; Mabritec, Switzerland) (21). After bacterial identi cation and subsequent European Committee on Antimicrobial Susceptibility Testing (EUCAST) AST interpretation (19), bacterial isolates of interest to screen for ESBL and MBL genes were selected (22).…”

Section: Methodsmentioning

confidence: 99%

Bacterial and fungal load quantitative and qualitative assessment of indoor air in Portuguese long-term and acute healthcare settings

Santos-Marques

Teixeira

Pinheiro

et al. 2023

Preprint

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Background In healthcare-associated infections, the major transmission route is assumed to be the direct or indirect contact between patients, staff, and the environment. However, little is known about the air role as a pool for pathogens and multidrug resistance (MDR) in healthcare settings. The aim of this study was to quantitatively and qualitatively compare microbial air quality in a Portuguese long-term healthcare unit (LTHU) and a central hospital (CH). Methods During 2021 and 2022, air samples were collected fortnightly in both settings and their microbial load (bacteria and fungi) was determined (colony forming units – CFU/m3). Sampled sites were classified according to area, room capacity and occupation, activity and related infection potential risk. Bacterial isolates were randomly selected for identification by Matrix-assisted laser desorption ionization-time of flight (MALDI-TOF) mass spectrometry, antimicrobial susceptibility testing and polymerase chain reaction (PCR) screening of extended-spectrum beta-lactamases and metallo-beta-lactamases genes. Results A total of 192 air samples were collected, 86 from LTHU and 106 from CH. Statistically significant differences in mean bacterial load in LTHU (367 CFU/m3) and CH (230 CFU/m3) was observed, but not in mean fungal load (LTHU: 87 CFU/m3; CH: 117 CFU/m3). CH bacteria and fungi loads were statistically significantly higher in sites with outpatients or no patients compared to those with inpatients as well as in support services compared to curative care areas. No statistically significant differences were found regarding these variables in LTHU.

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“…This approach in the MALDI-TOF MS analysis was successfully used to distinguish subspecies and clone complexes of bacteria such as Streptococcus agalactiae [ 85 ] and E. coli [ 86 ]. This method was also used successfully by Toh et al for the differentiation of Acinetobacter haemolyticus and Acinetobacter genomic species, including 13BJ/14T strains [ 87 ].…”

Section: Bacteria Identificationmentioning

confidence: 99%

“Omic” Approaches to Bacteria and Antibiotic Resistance Identification

Janiszewska

Szultka‐Młyńska

Pomastowski

et al. 2022

IJMS

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The quick and accurate identification of microorganisms and the study of resistance to antibiotics is crucial in the economic and industrial fields along with medicine. One of the fastest-growing identification methods is the spectrometric approach consisting in the matrix-assisted laser ionization/desorption using a time-of-flight analyzer (MALDI-TOF MS), which has many advantages over conventional methods for the determination of microorganisms presented. Thanks to the use of a multiomic approach in the MALDI-TOF MS analysis, it is possible to obtain a broad spectrum of data allowing the identification of microorganisms, understanding their interactions and the analysis of antibiotic resistance mechanisms. In addition, the literature data indicate the possibility of a significant reduction in the time of the sample preparation and analysis time, which will enable a faster initiation of the treatment of patients. However, it is still necessary to improve the process of identifying and supplementing the existing databases along with creating new ones. This review summarizes the use of “-omics” approaches in the MALDI TOF MS analysis, including in bacterial identification and antibiotic resistance mechanisms analysis.

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Differentiation of Acinetobacter Genomic Species 13BJ/14TU from Acinetobacter haemolyticus by Use of Matrix-Assisted Laser Desorption Ionization–Time of Flight Mass Spectrometry (MALDI-TOF MS)

Cited by 7 publications

References 13 publications

Comparison of biomarker based Matrix Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry (MALDI-TOF MS) and conventional methods in the identification of clinically relevant bacteria and yeast

Comparison of biomarker based Matrix Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry (MALDI-TOF MS) and conventional methods in the identification of clinically relevant bacteria and yeast

Bacterial and fungal load quantitative and qualitative assessment of indoor air in Portuguese long-term and acute healthcare settings

“Omic” Approaches to Bacteria and Antibiotic Resistance Identification

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