ArticleApplied and environmental microbiology2003
Rapid identification of Candida species by using nuclear magnetic resonance spectroscopy and a statistical classification strategy.
Article in Applied and environmental microbiology, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Toward sustainable diagnostics forRSC advances · 2026Review
- Biodetection Strategies for Selective Identification of Candidiasis.Indian journal of microbiology · 2024Review
- Raman Spectroscopic Algorithms for Assessing Virulence in Oral Candidiasis: The Fight-or-Flight Response.International journal of molecular sciences · 2024Article
- Raman Metabolomics ofInternational journal of molecular sciences · 2022Article
- Methodological Developments for Metabolic NMR Spectroscopy from Cultured Cells to Tissue Extracts: Achievements, Progress and Pitfalls.Molecules (Basel, Switzerland) · 2022Review
- The Role of Fatty Acid Metabolites in Vaginal Health and Disease: Application to Candidiasis.Frontiers in microbiology · 2021Review
- Metabolic profiling of Candida clinical isolates of different species and infection sources.Scientific reports · 2020Article
- Recent trends in molecular diagnostics of yeast infections: from PCR to NGS.FEMS microbiology reviews · 2019Review
- Effects of a small, volatile bacterial molecule on Pseudomonas aeruginosa bacteria using whole cell high-resolution magic angle spinning nuclear magnetic resonance spectroscopy and genomics.International journal of molecular medicine · 2018Article
- Current and Future Perspectives on the Structural Identification of Small Molecules in Biological Systems.Metabolites · 2016Review
- Rapid Evaporative Ionisation Mass Spectrometry (REIMS) Provides Accurate Direct from Culture Species Identification within the Genus Candida.Scientific reports · 2016Article
- Changes in the NMR Metabolic Profile of Live Human Neuron-Like SH-SY5Y Cells Exposed to Interferon-α2.Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology · 2016Article
- Molecular and nonmolecular diagnostic methods for invasive fungal infections.Clinical microbiology reviews · 2014Review
- (1)H high resolution magic-angle coil spinning (HR-MACS) μNMR metabolic profiling of whole Saccharomyces cervisiae cells: a demonstrative study.Frontiers in chemistry · 2014Article
- Live-cell high resolution magic angle spinning magnetic resonance spectroscopy forBiomedical reports · 2013Article
- Unraveling the concentration-dependent metabolic response of Pseudomonas sp. HF-1 to nicotine stress by ¹H NMR-based metabolomics.Ecotoxicology (London, England) · 2012Article
- The use of high-resolution ¹H nuclear magnetic resonance (NMR) spectroscopy in the clinical diagnosis of Acanthamoeba.Parasitology research · 2011Article
- A comparison of random forest and its Gini importance with standard chemometric methods for the feature selection and classification of spectral data.BMC bioinformatics · 2009Article
- Rapid etiological classification of meningitis by NMR spectroscopy based on metabolite profiles and host response.PloS one · 2009Article
- Antifungal effects on metabolite profiles of medically important yeast species measured by nuclear magnetic resonance spectroscopy.Antimicrobial agents and chemotherapy · 2006Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Nuclear magnetic resonance (NMR) spectra were acquired from suspensions of clinically important yeast species of the genus Candida to characterize the relationship between metabolite profiles and species identification. Major metabolites were identified by using two-dimensional correlation NMR spectroscopy. One-dimensional proton NMR spectra were analyzed by using a staged statistical classification strategy. Analysis of NMR spectra from 442 isolates of Candida albicans, C. glabrata, C. krusei, C. parapsilosis, and C. tropicalis resulted in rapid, accurate identification when compared with conventional and DNA-based identification. Spectral regions used for the classification of the five yeast species revealed species-specific differences in relative amounts of lipids, trehalose, polyols, and other metabolites. Isolates of C. parapsilosis and C. glabrata with unusual PCR fingerprinting patterns also generated atypical NMR spectra, suggesting the possibility of intraspecies discontinuity. We conclude that NMR spectroscopy combined with a statistical classification strategy is a rapid, nondestructive, and potentially valuable method for identification and chemotaxonomic characterization that may be broadly applicable to fungi and other microorganisms.
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