Metabolomics

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Metabolic profiling of Candida clinical isolates of different species and infection sources


ABSTRACT:

Candida species are the most common cause of opportunistic fungal infections. Rapid identification and novel approaches for the characterization of these fungi are of great interest to improve the diagnosis and the knowledge about their pathogenic properties. This study aimed to characterize clinical isolates of Candida spp. by proteomics (MALDI-TOF MS) and metabolomics (1H-NMR), and to correlate their metabolic profiles with Candida species, source of infection and different virulence associated parameters. In particular, 49 Candida strains from different sources (blood, n = 15; vagina, n = 18; respiratory tract, n = 16), belonging mainly to C. albicans complex (61%), C. glabrata (20%) and C. parapsilosis (12%) species were used. Several extracellular and intracellular metabolites showed significantly different concentrations among isolates recovered from different sources of infection, as well as among different Candida species. These metabolites were mainly related to the glycolysis or gluconeogenesis, tricarboxylic acid cycle, nucleic acid synthesis and amino acid and lipid metabolism. Moreover, we found specific metabolic fingerprints associated with the ability to form biofilm, the antifungal resistance (i.e. caspofungin and fluconazole) and the production of secreted aspartyl proteinase. In conclusion, 1H-NMR-based metabolomics can be useful to deepen Candida spp. virulence and pathogenicity properties.

INSTRUMENT(S): Nuclear Magnetic Resonance (NMR) -

SUBMITTER: Luca Laghi 

PROVIDER: MTBLS1978 | MetaboLights | 2024-07-09

REPOSITORIES: MetaboLights

Dataset's files

Source:
Action DRS
MTBLS1978 Other
FILES Other
a_MTBLS1978_NMR___metabolite_profiling.txt Txt
i_Investigation.txt Txt
m_MTBLS1978_NMR___metabolite_profiling_v2_maf.tsv Tabular
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Publications

Metabolic profiling of Candida clinical isolates of different species and infection sources.

Oliver Josidel Conceição JC   Laghi Luca L   Parolin Carola C   Foschi Claudio C   Marangoni Antonella A   Liberatore Andrea A   Dias Amanda Latercia Tranches ALT   Cricca Monica M   Vitali Beatrice B  

Scientific reports 20201007 1


Candida species are the most common cause of opportunistic fungal infections. Rapid identification and novel approaches for the characterization of these fungi are of great interest to improve the diagnosis and the knowledge about their pathogenic properties. This study aimed to characterize clinical isolates of Candida spp. by proteomics (MALDI-TOF MS) and metabolomics (<sup>1</sup>H-NMR), and to correlate their metabolic profiles with Candida species, source of infection and different virulenc  ...[more]

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