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Unexpected mould diversity in clinical isolates from French Guiana and associated identification difficulties.
Nabet, C; Imbert, S; Normand, A C; Blanchet, D; Chanlin, R; Becker, P; Demar, M; Piarroux, R.
Afiliación
  • Nabet C; Sorbonne Université, INSERM, Institut Pierre-Louis d'Epidémiologie et de Santé Publique, AP-HP, Groupe Hospitalier Pitié-Salpêtrière, Service de Parasitologie-Mycologie, Paris, France.
  • Imbert S; Sorbonne Université, INSERM, CNRS, Centre d'Immunologie et des Maladies Infectieuses, Cimi-Paris, AP-HP, Groupe Hospitalier Pitié-Salpêtrière, Service de Parasitologie-Mycologie, Paris, France.
  • Normand AC; Sorbonne Université, INSERM, Institut Pierre-Louis d'Epidémiologie et de Santé Publique, AP-HP, Groupe Hospitalier Pitié-Salpêtrière, Service de Parasitologie-Mycologie, Paris, France.
  • Blanchet D; Department of Parasitology-Mycology, Hôpital Andrée Rosemon, Cayenne, French Guiana.
  • Chanlin R; Department of Parasitology-Mycology, Hôpital Andrée Rosemon, Cayenne, French Guiana.
  • Becker P; Sciensano, BCCM/IHEM collection, Mycology and Aerobiology Unit, Brussels, Belgium.
  • Demar M; Department of Parasitology-Mycology, Hôpital Andrée Rosemon, Cayenne, French Guiana.
  • Piarroux R; EA 3593, Ecosystèmes Amazoniens et Pathologies Tropicales, Université de Guyane, Cayenne, French Guiana.
Med Mycol ; 2020 Oct 27.
Article en En | MEDLINE | ID: mdl-33111143
ABSTRACT
New mold species are increasingly reported in invasive fungal infections. However, these fungi are often misdiagnosed or undiagnosed due to the use of inappropriate laboratory diagnostic tools. Tropical countries, such as French Guiana, harbor a vast diversity of environmental fungi representing a potential source of emerging pathogens. To assess the impact of this diversity on the accuracy of mold-infection diagnoses, we identified mold clinical isolates in French Guiana during a five-month follow-up using both microscopy and matrix-assisted laser desorption ionization time-of-flight mass spectrometry. In total, 38.8% of the 98 obtained molds isolates could not be identified and required a DNA-based identification. Fungal diversity was high, including 46 species, 26 genera, and 13 orders. Fungal ecology was unusual, as Aspergillus species accounted for only 27% of all isolates, and the Nigri section was the most abundant out of the six detected Aspergillus sections. Macromycetes (orders Agaricales, Polyporales, and Russulales) and endophytic fungi accounted for respectively 11% and 14% of all isolates. Thus, in tropical areas with high fungal diversity, such as French Guiana, routine mold identification tools are inadequate. Molecular identifications, as well as morphological descriptions, are necessary for the construction of region-specific mass spectrum databases. These advances will improve the diagnosis and clinical management of new fungal infections. LAY

SUMMARY:

In French Guiana, environmental fungal diversity may be a source of emerging pathogens. We evaluated microscopy and mass spectrometry to identify mold clinical isolates. With 39% of unidentified isolates, a region-specific mass spectrum database would improve the diagnosis of new fungal infections.
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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Risk_factors_studies País/Región como asunto: America do sul / Caribe ingles / Guyana Idioma: En Revista: Med Mycol Asunto de la revista: MEDICINA VETERINARIA / MICROBIOLOGIA Año: 2020 Tipo del documento: Article País de afiliación: Francia

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Risk_factors_studies País/Región como asunto: America do sul / Caribe ingles / Guyana Idioma: En Revista: Med Mycol Asunto de la revista: MEDICINA VETERINARIA / MICROBIOLOGIA Año: 2020 Tipo del documento: Article País de afiliación: Francia