Differentiation of vanA-positive Enterococcus faecium from vanA-negative E. faecium by matrix-assisted laser desorption/ionisation time-of-flight mass spectrometry

Nakano, Satoshi; Matsumura, Yasufumi; Kato, Kensuke; Yunoki, Tomoyuki; Hotta, Gou; Noguchi, Taro; Yamamoto, Masaki; Nagao, Miki; Ito, Yutaka; Takakura, Shunji; Ichiyama, Satoshi

doi:10.1016/j.ijantimicag.2014.05.006

Cited by 33 publications

(18 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Under careful experimental conditions, it has also been shown useful for subtyping methicillin-resistant S. aureus strains ( Croxatto et al, 2012 ). Similarly, MALDI-TOF MS has been shown to be of great use in identifying vancomycin-resistant enterococci ( Griffin et al, 2012 ; Nakano et al, 2014 ). Wang et al (2014) suggested that MALDI-TOF MS could be used as a screening tool for discriminating vancomycin-resistant Enterococcus faecium strains from vancomycin-susceptible E. faecium strains.…”

Section: Applications In Microbial Diagnosismentioning

confidence: 99%

MALDI-TOF mass spectrometry: an emerging technology for microbial identification and diagnosis

et al. 2015

View full text Add to dashboard Cite

Currently microorganisms are best identified using 16S rRNA and 18S rRNA gene sequencing. However, in recent years matrix assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) has emerged as a potential tool for microbial identification and diagnosis. During the MALDI-TOF MS process, microbes are identified using either intact cells or cell extracts. The process is rapid, sensitive, and economical in terms of both labor and costs involved. The technology has been readily imbibed by microbiologists who have reported usage of MALDI-TOF MS for a number of purposes like, microbial identification and strain typing, epidemiological studies, detection of biological warfare agents, detection of water- and food-borne pathogens, detection of antibiotic resistance and detection of blood and urinary tract pathogens etc. The limitation of the technology is that identification of new isolates is possible only if the spectral database contains peptide mass fingerprints of the type strains of specific genera/species/subspecies/strains. This review provides an overview of the status and recent applications of mass spectrometry for microbial identification. It also explores the usefulness of this exciting new technology for diagnosis of diseases caused by bacteria, viruses, and fungi.

show abstract

Section: Applications In Microbial Diagnosismentioning

confidence: 99%

MALDI-TOF mass spectrometry: an emerging technology for microbial identification and diagnosis

et al. 2015

View full text Add to dashboard Cite

show abstract

“…The clinical use of MALDI-TOF MS-based methods allows for rapid identification of enterococci directly from blood culture bottles, potentially reducing the time to antimicrobial treatment initiation (48). MALDI-TOF MS has a high sensitivity, being able to identify about 94% of isolates to the species level, including differentiating between closely related species (49,50); additionally, it could potentially be useful for antibiotic resistance profiling, for instance, for detection of the presence of van genes, although it is not yet in use in clinical practice (51,52).…”

Section: Introductionmentioning

confidence: 99%

The Enterococcus: a Model of Adaptability to Its Environment

2019

View full text Add to dashboard Cite

SUMMARYThe genusEnterococcuscomprises a ubiquitous group of Gram-positive bacteria that are of great relevance to human health for their role as major causative agents of health care-associated infections. The enterococci are resilient and versatile species able to survive under harsh conditions, making them well adapted to the health care environment. Two species cause the majority of enterococcal infections:Enterococcus faecalisandEnterococcus faecium. Both species demonstrate intrinsic resistance to common antibiotics, such as virtually all cephalosporins, aminoglycosides, clindamycin, and trimethoprim-sulfamethoxazole. Additionally, a remarkably plastic genome allows these two species to readily acquire resistance to further antibiotics, such as high-level aminoglycoside resistance, high-level ampicillin resistance, and vancomycin resistance, either through mutation or by horizontal transfer of genetic elements conferring resistance determinants.

show abstract

“…However, to our knowledge, few studies have used ML in the analysis of MALDI-TOF spectra for rapidly reporting VRE fm , and the case numbers in these studies were insufficient, and so, ML algorithm generalization has been limited. 37–39 Moreover, to date, no study has validated AST prediction ML algorithms by using large real-world data.…”

Section: Introductionmentioning

confidence: 99%

Rapidly predicting vancomycin resistance ofEnterococcus faeciumthrough MALDI-TOF MS spectrum obtained in real-world clinical microbiology laboratory

Wang

Chung

et al. 2020

Preprint

View full text Add to dashboard Cite

50Enterococcus faecium is one of the leading pathogens in the world. In this study, we proposed 51 a strategy to rapidly and accurately distinguish vancomycin-resistant Enterococcus faecium 52 (VREfm) and vancomycin-susceptible E. faecium (VSEfm) to help doctors correctly determine 53 the use of vancomycin by a machine learning (ML)-based algorithm. A predictive model was 54 developed and validated to distinguish VREfm and VSEfm by analyzing MALDI-TOF MS 55 spectra of unique E. faecium isolates from different specimen types. Firstly, 5717 mass spectra, 56 including 2795 VREfm and 2922 VSEfm, were used to develop the algorithm. And 2280 mass 57 spectra of isolates, namely 1222 VREfm and 1058 VSEfm, were used to externally validate the 58 algorithm. The random forest-based algorithm demonstrated good classification performances 59 for overall specimens, whose mean AUROC in 5-fold cross validation, time-wise validation, 60 and external validation was all greater than 0.84. For the detection of VREfm in blood, sterile 61 body fluid, urinary tract, and wound, the AUROC in external validation was also greater than 62 0.84. The predictions with algorithms were significantly more accurate than empirical 63 antibiotic use. The accuracy of antibiotics administration could be improved by 30%. And the 64 algorithm could provide rapid antibiotic susceptibility results at least 24 hours ahead of routine 65 laboratory tests. The turn-around-time of antibiotic susceptibility could be reduced by 50%. In 66 conclusion, a ML algorithm using MALDI-TOF MS spectra obtained in routine workflow 67 accurately differentiated VREfm from VSEfm, especially in blood and sterile body fluid, which 68 can be applied to facilitate the clinical testing process due to its accuracy, generalizability, and 69 rapidness. 70 71 3 Introduction 72 Enterococcus spp. is one of the leading pathogens in healthcare-associated infection. 1 73 Enterococcal infection could cause urinary tract infection, blood stream infection, and even 74 mortality. 2 Until recently, vancomycin was virtually the only drug that could be consistently 75 relied on for treating multidrug-resistant enterococcal infections 3,4 . Vancomycin-resistant 76 Enterococcus (VRE) has led to heavy burden on healthcare worldwide since its first-time 77 isolation. 5,6 Enterococcus faecalis and E. faecium are the 2 most commonly isolated 78 Enterococcus spp. in clinical practice. 1 VRE faecium (VREfm) has received considerably more 79 attention than VRE faecalis (VREfs) because most of the clinically isolated VRE is E. faecium 80 in the recent decades 4,7 and VREfm causes more severe infection than VREfs 8,9 . Early detection 81 of vancomycin resistance is essential for successfully treating VREfm infection. 10 Vancomycin 82 could be discontinued, and antimicrobial agents could be replaced with other antibiotics (eg, 83 linezolid and daptomycin) based on the laboratory results of vancomycin resistance 11,12 . 84 Patients' prognosis could be improved and further drug resistance development ...

show abstract

Differentiation of vanA-positive Enterococcus faecium from vanA-negative E. faecium by matrix-assisted laser desorption/ionisation time-of-flight mass spectrometry

Cited by 33 publications

References 15 publications

MALDI-TOF mass spectrometry: an emerging technology for microbial identification and diagnosis

MALDI-TOF mass spectrometry: an emerging technology for microbial identification and diagnosis

The Enterococcus: a Model of Adaptability to Its Environment

Rapidly predicting vancomycin resistance ofEnterococcus faeciumthrough MALDI-TOF MS spectrum obtained in real-world clinical microbiology laboratory

Contact Info

Product

Resources

About