Literature DB >> 18022718

Epidemiological investigation and typing of Candida glabrata clinical isolates by FTIR spectroscopy.

Mohammed Essendoubi1, Dominique Toubas, Claire Lepouse, Alain Leon, Fabienne Bourgeade, Jean-Michel Pinon, Michel Manfait, Ganesh D Sockalingum.   

Abstract

Candida glabrata has emerged as one of the leading agents of fungal infections and strain typing is essential for epidemiological investigation that is generally achieved by molecular techniques. In this work, we studied twenty-nine C. glabrata strains isolated from different patients, using a phenotypic approach based on Fourier Transform Infrared (FTIR) spectroscopy, which has been in a previous study successfully applied as a rapid typing method for Candida albicans. A two-step procedure was used for the analysis. The first step included sixteen strains for the internal validation phase, which aimed at finding the spectral windows that would provide the best differentiation between strains. In this phase, hierarchical cluster analysis (HCA) carried out using three spectral windows (900-1200, 1540-1800, 2800-3000 cm(-1)) allowed to obtain the best classification, where each patient strains could be clustered together. A genotypic technique based on randomly amplified polymorphic DNA-analysis (RAPD) confirmed these results. In a second step, the external validation phase, thirteen other clinical strains of C. glabrata isolated from multiple sites in four ICU patients, were tested by FTIR spectroscopy. The analysis was based on the spectral regions previously found in the first step. HCA classification of the strains gave four groups, one group per patient. These results suggest that no inter-human transmission took place. This study shows the potential of FTIR approach for typing of C. glabrata with several advantages compared to other techniques. FTIR typing is fast, effective, and reagent free. Moreover, it is applicable to all micro-organisms and requires a small quantity of biomass.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 18022718     DOI: 10.1016/j.mimet.2007.09.018

Source DB:  PubMed          Journal:  J Microbiol Methods        ISSN: 0167-7012            Impact factor:   2.363


  7 in total

1.  Multicenter Evaluation of Attenuated Total Reflectance Fourier Transform Infrared (ATR-FTIR) Spectroscopy-Based Method for Rapid Identification of Clinically Relevant Yeasts.

Authors:  Lisa M T Lam; Ashraf A Ismail; Simon Lévesque; Simon F Dufresne; Mathew P Cheng; Émilie Vallières; Me-Linh Luong; Jacqueline Sedman; Philippe J Dufresne
Journal:  J Clin Microbiol       Date:  2021-10-20       Impact factor: 11.677

2.  Identification of Escherichia coli and Trueperella pyogenes isolated from the uterus of dairy cows using routine bacteriological testing and Fourier transform infrared spectroscopy.

Authors:  María Jaureguiberry; Laura Vanina Madoz; Mauricio Javier Giuliodori; Karen Wagener; Isabella Prunner; Tom Grunert; Monika Ehling-Schulz; Marc Drillich; Rodolfo Luzbel de la Sota
Journal:  Acta Vet Scand       Date:  2016-11-28       Impact factor: 1.695

3.  Merging FT-IR and NGS for simultaneous phenotypic and genotypic identification of pathogenic Candida species.

Authors:  Claudia Colabella; Laura Corte; Luca Roscini; Volha Shapaval; Achim Kohler; Valeria Tafintseva; Carlo Tascini; Gianluigi Cardinali
Journal:  PLoS One       Date:  2017-12-04       Impact factor: 3.240

4.  Vibrational Spectroscopy as a Sensitive Probe for the Chemistry of Intra-Phase Bacterial Growth.

Authors:  Kamila Kochan; Elizabeth Lai; Zack Richardson; Cara Nethercott; Anton Y Peleg; Philip Heraud; Bayden R Wood
Journal:  Sensors (Basel)       Date:  2020-06-18       Impact factor: 3.576

5.  Isolation and characterization of fast-growing green snow bacteria from coastal East Antarctica.

Authors:  Margarita Smirnova; Uladzislau Miamin; Achim Kohler; Leonid Valentovich; Artur Akhremchuk; Anastasiya Sidarenka; Andrey Dolgikh; Volha Shapaval
Journal:  Microbiologyopen       Date:  2020-12-29       Impact factor: 3.904

6.  Discrimination of Human Cell Lines by Infrared Spectroscopy and Mathematical Modeling.

Authors:  Rezvan Zendehdel; Farshad H Shirazi
Journal:  Iran J Pharm Res       Date:  2015       Impact factor: 1.696

7.  Influence of the Sample Preparation Method in Discriminating Candida spp. Using ATR-FTIR Spectroscopy.

Authors:  Savithri Pebotuwa; Kamila Kochan; Anton Peleg; Bayden R Wood; Philip Heraud
Journal:  Molecules       Date:  2020-03-28       Impact factor: 4.411

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.