Victoria Girard
BioMérieux
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Publication
Featured researches published by Victoria Girard.
Journal of Clinical Microbiology | 2015
Sébastien Spinali; Alex van Belkum; Richard V. Goering; Victoria Girard; Martin Welker; Marc Van Nuenen; David H. Pincus; Maud Arsac; Géraldine Durand
ABSTRACT The integration of matrix-assisted laser desorption ionization–time of flight mass spectrometry (MALDI-TOF MS) in clinical microbiology has revolutionized species identification of bacteria, yeasts, and molds. However, beyond straightforward identification, the method has also been suggested to have the potential for subspecies-level or even type-level epidemiological analyses. This minireview explores MALDI-TOF MS-based typing, which has already been performed on many clinically relevant species. We discuss the limits of the methods resolution and we suggest interpretative criteria allowing valid comparison of strain-specific data. We conclude that guidelines for MALDI-TOF MS-based typing can be developed along the same lines as those used for the interpretation of data from pulsed-field gel electrophoresis (PFGE).
Mycoses | 2016
Victoria Girard; Sandrine Mailler; Marion Chetry; Céline Vidal; Géraldine Durand; Alex van Belkum; Arnaldo Lopes Colombo; Ferry Hagen; Jacques F. Meis; Anuradha Chowdhary
Candida auris is an emerging antifungal resistant yeast species causing nosocomial and invasive infections, emphasising the need of improved diagnostics and epidemiological typing methods. We show that MALDI‐TOF VITEK‐MS followed by amplified length polymorphisms allows for accurate species identification and subsequent epidemiological characterisation of strains encountered during potential outbreaks.
Journal of Clinical Microbiology | 2014
W. Michael Dunne; Kirk M. Doing; Elizabeth Miller; Eric Miller; Erik Moreno; Mehdi Baghli; Sandrine Mailler; Victoria Girard; Alex van Belkum; Parampal Deol
ABSTRACT The identification of mycobacteria outside biocontainment facilities requires that the organisms first be rendered inactive. Exposure to 70% ethanol (EtOH) either before or after mechanical disruption was evaluated in order to establish a safe, effective, and rapid inactivation protocol that is compatible with identification of Mycobacterium and Nocardia species using matrix-assisted laser desorption ionization–time of flight mass spectrometry (MALDI-TOF MS). A combination of 5 min of bead beating in 70% EtOH followed by a 10-min room temperature incubation period was found to be rapidly bactericidal and provided high-quality spectra compared to spectra obtained directly from growth on solid media. The age of the culture, the stability of the refrigerated or frozen lysates, and freeze-thaw cycles did not adversely impact the quality of the spectra or the identification obtained.
Journal of Clinical Microbiology | 2014
Sophie De Respinis; Valérie Monnin; Victoria Girard; Martin Welker; Maud Arsac; Béatrice Cellière; Géraldine Durand; Philipp P. Bosshard; Claudio Farina; Marco Passera; Alex van Belkum; Orlando Petrini; Mauro Tonolla
ABSTRACT The objective of this research was to extend the Vitek MS fungal knowledge base version 2.0.0 to allow the robust identification of clinically relevant dermatophytes, using a variety of strains, incubation times, and growth conditions. First, we established a quick and reliable method for sample preparation to obtain a reliable and reproducible identification independently of the growth conditions. The Vitek MS V2.0.0 fungal knowledge base was then expanded using 134 well-characterized strains belonging to 17 species in the genera Epidermophyton, Microsporum, and Trichophyton. Cluster analysis based on mass spectrum similarity indicated good species discrimination independently of the culture conditions. We achieved a good separation of the subpopulations of the Trichophyton anamorph of Arthroderma benhamiae and of anthropophilic and zoophilic strains of Trichophyton interdigitale. Overall, the 1,130 mass spectra obtained for dermatophytes gave an estimated identification performance of 98.4%. The expanded fungal knowledge base was then validated using 131 clinical isolates of dermatophytes belonging to 13 taxa. For 8 taxa all strains were correctly identified, and for 3 the rate of successful identification was >90%; 75% (6/8) of the M. gypseum strains were correctly identified, whereas only 47% (18/38) of the African T. rubrum population (also called T. soudanense) were recognized accurately, with a large quantity of strains misidentified as T. violaceum, demonstrating the close relationship of these two taxa. The method of sample preparation was fast and efficient and the expanded Vitek MS fungal knowledge base reliable and robust, allowing reproducible dermatophyte identifications in the routine laboratory.
Scientific Reports | 2015
Yannick Charretier; Olivier Dauwalder; Christine Franceschi; Elodie Degout-Charmette; Gilles Zambardi; Tiphaine Cecchini; Chloé Bardet; Xavier Lacoux; Philippe Dufour; Laurent Veron; Hervé Rostaing; Véronique Lanet; Tanguy Fortin; Corinne Beaulieu; Nadine Perrot; Dominique Dechaume; Sylvie Pons; Victoria Girard; Arnaud Salvador; Géraldine Durand; Frédéric Mallard; Alain Theretz; Patrick Broyer; Sonia Chatellier; Gaspard Gervasi; Marc Van Nuenen; Carolyn Ann Roitsch; Alex van Belkum; Jérôme Lemoine; François Vandenesch
Mass spectrometry (MS) in Selected Reaction Monitoring (SRM) mode is proposed for in-depth characterisation of microorganisms in a multiplexed analysis. Within 60–80 minutes, the SRM method performs microbial identification (I), antibiotic-resistance detection (R), virulence assessment (V) and it provides epidemiological typing information (T). This SRM application is illustrated by the analysis of the human pathogen Staphylococcus aureus, demonstrating its promise for rapid characterisation of bacteria from positive blood cultures of sepsis patients.
Diagnostic Microbiology and Infectious Disease | 2016
Victoria Girard; Sandrine Mailler; Martin Welker; Maud Arsac; Béatrice Cellière; Pierre-Jean Cotte-Pattat; Sonia Chatellier; Géraldine Durand; Anne-Marie Béni; Jacques Schrenzel; Elizabeth Miller; Rahima Dussoulier; W. Michael Dunne; Susan M. Butler-Wu; Michael A. Saubolle; Den Sussland; Melissa Bell; Alex van Belkum; Parampal Deol
Identification of microorganisms by MALDI-TOF MS has been widely accepted in clinical microbiology. However, for Mycobacterium spp. and Nocardia spp. such identification has not yet reached the optimal level of routine testing. Here we describe the development of an identification tool for 49 and 15 species of Mycobacterium spp. and Nocardia spp., respectively. During database construction, a number of ambiguous reference identifications were revealed and corrected via molecular analyses. Eventually, more than 2000 individual mass spectra acquired from 494 strains were included in a reference database and subjected to bio-statistical analyses. This led to correct species identification and correct combination of species into several complexes or groups, such as the Mycobacterium tuberculosis complex. With the Advanced Spectrum Classifier algorithm, class-specific bin weights were determined and tested by cross-validation experiments with good results. When challenged with independent isolates, overall identification performance was 90% for identification of Mycobacterium spp. and 88% for Nocardia spp. However, for a number of Mycobacterium sp. isolates, no identification could be achieved and in most cases, this could be attributed to the production of polymers that masked the species-specific protein peak patterns. For the species where >20 isolates were tested, correct identification reached 95% or higher. With the current spectral database, the identification of Mycobacterium spp. and Nocardia spp. by MALDI-TOF MS can be performed in routine clinical diagnostics although in some complicated cases verification by sequencing remains mandatory.
Journal of Clinical Microbiology | 2016
Jennifer Mesureur; Sébastien Ranaldi; Valérie Monnin; Victoria Girard; Sandrine Arend; Martin Welker; David O'Callaghan; Jean-Philippe Lavigne; Anne Keriel
ABSTRACT We describe a simple protocol to inactivate the biosafety level 3 (BSL3) pathogens Brucella prior to their analysis by matrix-assisted laser desorption ionization–time of flight mass spectrometry. This method is also effective for several other bacterial pathogens and allows storage, and eventually shipping, of inactivated samples; therefore, it might be routinely applied to unidentified bacteria, for the safety of laboratory workers.
Korean Journal of Laboratory Medicine | 2017
Alex van Belkum; Martin Welker; David H. Pincus; Jean-Philippe Charrier; Victoria Girard
Matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) has revolutionized the identification of microbial species in clinical microbiology laboratories. MALDI-TOF-MS has swiftly become the new gold-standard method owing to its key advantages of simplicity and robustness. However, as with all new methods, adoption of the MALDI-TOF MS approach is still not widespread. Optimal sample preparation has not yet been achieved for several applications, and there are continuing discussions on the need for improved database quality and the inclusion of additional microbial species. New applications such as in the field of antimicrobial susceptibility testing have been proposed but not yet translated to the level of ease and reproducibility that one should expect in routine diagnostic systems. Finally, during routine identification testing, unexpected results are regularly obtained, and the best methods for transmitting these results into clinical care are still evolving. We here discuss the success of MALDI-TOF MS in clinical microbiology and highlight fields of application that are still amenable to improvement.
Diagnostic Microbiology and Infectious Disease | 2017
Victoria Girard; Sandrine Mailler; Sophie Polsinelli; Delphine Jacob; Marie Christine Saccomani; Béatrice Cellière; Valérie Monnin; Alex van Belkum; Ferry Hagen; Jacques F. Meis; Géraldine Durand
We here show adequate species identification for bacterial isolates of the genus Nocardia spp. through VITEK mass spectrometry. Application of a specific sample preparation method in combination with a robust matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) database leads to 94% accurate identification to the species level on a set of 164 isolates. The possibility to identify Nocardia spp. using MALDI-TOF MS will be available in the next release of VITEK MS update (IVD Version 3.0).
Journal of Clinical Microbiology | 2016
Janina Ferrand; Hélène Hochard; Victoria Girard; Nejla Aissa; Baptiste Bogard; Corentine Alauzet; Alain Lozniewski
ABSTRACT The Vitek MS in vitro diagnostic (IVD) and MALDI Biotyper IVD systems were evaluated for the identification of 158 strains of Actinomycetaceae. Correct species-level identification rates of 60.7% and 58.2% were obtained with the Vitek MS system after direct deposit and with the MALDI Biotyper system after on-plate formic acid treatment, respectively.