FTIR spectroscopy in medical mycology: applications to the differentiation and typing of Candida.
ABSTRACT The incidence of fungal infections, in particular candidiasis and aspergillosis, has considerably increased during the last three decades. This is mainly due to advances in medical treatments and technologies. In high risk patients (e.g. in haematology or intensive care), the prognosis of invasive candidiasis is relatively poor. Therefore, a rapid and correct identification of the infectious agent is important for an efficient and prompt therapy. Most clinical laboratories rely on conventional identification methods that are based on morphological, physiological and nutritional characteristics. However, these have their limitations because they are time-consuming and not always very accurate. Moreover, molecular methods may be required to determine the genetic relationship between the infectious strains, for instance in Candida outbreaks. In addition, the latter methods require time, expensive consumables and highly trained staff to be performed adequately. In this study, we have applied the FTIR spectroscopic approach to different situations encountered in routine mycological diagnosis. We show the potentials of this phenotypic approach, used in parallel with routine identification methods, for the differentiation of 3 frequently encountered Candida species (C. albicans, C. glabrata and C. krusei) by using both suspensions and microcolonies. This approach, developed for an early discrimination, may help in the initial choice of antifungal treatment. Furthermore, we demonstrate the feasibility of the method for intraspecies comparison (typing) of 3 Candida species (C. albicans, C. glabrata and C. parapsilosis), particularly when an outbreak is suspected.
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ABSTRACT: Computer-based Fourier-transform infrared spectroscopy (FT-IR) was used to identify food-borne, predominantly fermentative yeasts. Dried yeast suspensions provided the films suitable for FT-IR measurement. Informative windows in the spectrum were selected and combined to achieve optimal results. A reference spectrum library was assembled, based on 332 defined yeast strains from international yeast collections and our own isolates. All strains were identified with conventional methods using physiological and morphological characteristics. In order to assess identification quality, another 722 unknown yeast isolates not included in the reference spectrum library were identified both by classical methods and by comparison of their FT-IR spectra with those of the reference spectrum library. Ninety-seven and one-half percent of these isolates were identified correctly by FT-IR. Easy handling, rapid identification within 24 h when starting from a single colony, and a high differentiation capacity thus render FT-IR technology clearly superior to other routine methods for the identification of yeasts.Applied and Environmental Microbiology 07/1998; 64(6):2207-14. · 3.68 Impact Factor
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ABSTRACT: Despite advances in antifungal prophylaxis and therapy, morbidity and mortality incurred by yeasts remain a significant burden. As pathogenic yeast species vary in their susceptibilities to antifungal agents, clinical microbiology laboratories face an important challenge to identify them rapidly and accurately. Although a vast array of phenotyping and genotyping methods has been developed, these are either unable to cover the whole spectrum of potential yeast pathogens or can do this only in a rather costly or laborious way. Random amplified polymorphic DNA (RAPD) fingerprinting was repeatedly demonstrated to be a convenient tool for species identification in pathogenic yeasts. However, its wider acceptance has been limited mainly due to special expertise and software needed for analysis and comparison of the resulting banding patterns. Based on a pilot study, we demonstrate here that a simple and rapid melting curve analysis of RAPD products can provide data for identification of five of the most medically important Candida species. We have termed this new approach melting curve of random amplified polymorphic DNA (McRAPD) to emphasize its rapidity and potential for automation, highly desirable features for a routine laboratory test.Journal of Microbiological Methods 02/2005; 60(1):107-13. · 2.16 Impact Factor
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ABSTRACT: We compared two phenotypic methods, colony morphotyping on Sabouraudtripheniltetrazolium agar (STTZ) and serotyping, with two genotypic methods, karyotyping and Random Amplified Polymorphic DNA bands obtained by PCR amplification (RAPD-PCR), for strain delineation in 33 Candida clinical isolates and two C. albicans strains from culture collections. Analysis of isolates on STTZ showed 11 different morphotypes. In two patients there was a switch in the morphotype coincidential with a change in the susceptibility of the isolates to azole antifungals. C. albicans isolates were divided into two serotypes. Sixteen and 18 different patterns were identified among the Candida isolates by karyotyping and RAPD-PCR, respectively. No relationship was found between any of the typing methods used and the source of the isolates. The combination of karyotyping and morphotyping on STTZ yielded useful epidemiological information, since it allowed the differentiation among the Candida species studied and the discrimination of clusters within C. albicans as well as to check the capacity of a strain to generate variants with different susceptibility to some antifungals.Mycoses 01/1998; 40(11-12):445-50. · 1.28 Impact Factor