Emerging moulds: epidemiological trends and antifungal resistance

Miceli, Marisa H.; Lee, Samuel A.

doi:10.1111/j.1439-0507.2011.02032.x

Cited by 89 publications

(52 citation statements)

References 132 publications

(253 reference statements)

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“…Given the prior poor performance of the Bruker Filamentous Fungi Library v1.0 (Bruker Daltonics, Bremen, Germany) for mold identification using the manufacturer-recommended broth-based protein extraction methods (in our laboratory Ͼ50% of isolates were not identified; internal data) and because the geographic generalizability of in-house-built databases is not yet known, we hypothesized that a MS library of molds relevant to our region (17)(18)(19)(20)(21) will improve identification. Here, we constructed an in-house database containing 117 strains (see Table S1 in the supplemental material) covering 28 species of Aspergillus, Scedosporium, and Fusarium encountered in Australia.…”

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confidence: 99%

Performance of Matrix-Assisted Laser Desorption Ionization−Time of Flight Mass Spectrometry for Identification of Aspergillus, Scedosporium, and Fusarium spp. in the Australian Clinical Setting

et al. 2016

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dWe developed an Australian database for the identification of Aspergillus, Scedosporium, and Fusarium species (n ‫؍‬ 28) by matrix-assisted laser desorption ionization؊time of flight mass spectrometry (MALDI-TOF MS). In a challenge against 117 isolates, species identification significantly improved when the in-house-built database was combined with the Bruker Filamentous Fungi Library compared with that for the Bruker library alone (Aspergillus, 93% versus 69%; Fusarium, 84% versus 42%; and Scedosporium, 94% versus 18%, respectively). Rapid, accurate mold identification is important due to the widening spectrum of pathogens and species-specific differences in antifungal susceptibility (1-3). Matrix-assisted laser desorption ionizationϪtime of flight mass spectrometry (MALDI-TOF MS) has proven useful, but mold identification remains challenged by the limited access to validated purpose-built databases that are necessary because of small species and strain representations in commercial libraries (4-16).Given the prior poor performance of the Bruker Filamentous Fungi Library v1.0 (Bruker Daltonics, Bremen, Germany) for mold identification using the manufacturer-recommended broth-based protein extraction methods (in our laboratory Ͼ50% of isolates were not identified; internal data) and because the geographic generalizability of in-house-built databases is not yet known, we hypothesized that a MS library of molds relevant to our region (17-21) will improve identification. Here, we constructed an in-house database containing 117 strains (see Table S1 in the supplemental material) covering 28 species of Aspergillus, Scedosporium, and Fusarium encountered in Australia. Challenge isolates (also n ϭ 117; 21 species) comprising 55 Aspergillus, 45 Fusarium, and 17 Scedosporium clinical strains (Table 1) were then used to assess the performance of the Bruker library alone versus that of the Bruker library supplemented with the in-house library for species identification.All isolates were identified using phenotypic methods (22) with definitive identification by DNA sequencing of the internal transcribed spacer (ITS) (all isolates), ␤-tubulin (Aspergillus and Scedosporium spp.), and partial elongation factor-1alpha (EF-1␣) (to identify Fusarium to the species complex level) gene regions (23)(24)(25)(26). Sequence data were analyzed against the Centraalbureau voor Schimmelkultures (http://www.cbs.knaw.nl/Collections /BioloMICSSequences.aspx?fileϭall), International Society for Human and Animal Mycology ITS (http://its.mycologylab.org/), and Fusarium-ID (http://www.fusariumdb.org/index.php) databases, and species were assigned using published criteria (27).Protein extraction for MALDI-TOF MS was performed as previously described (11). The Bruker bacterial test standard (Bruker Daltonics) was used for calibration and Aspergillus ustus CBS 261.67T scoring of Ն2.00 was required for quality extraction and spectra acceptability (11). The in-house database was constructed using published protocols (11, 28) with 20 to 25 quality spe...

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Performance of Matrix-Assisted Laser Desorption Ionization−Time of Flight Mass Spectrometry for Identification of Aspergillus, Scedosporium, and Fusarium spp. in the Australian Clinical Setting

et al. 2016

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“…At least 70 Fusarium species have also been reported as opportunistic human pathogens, and infection rates have increased over the past years (2). Fusarium spp.…”

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“…Fusarium spp. can cause superficial infections, such as keratitis and onychomycosis, as well as locally invasive and disseminated infections (1,2). These disseminated infections particularly affect immunosuppressed patients and are associated with a high mortality rate (2).…”

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Use of Matrix-Assisted Laser Desorption Ionization–Time of Flight Mass Spectrometry for Identification of Molds of the Fusarium Genus

et al. 2015

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eThe rates of infection with Fusarium molds are increasing, and a diverse number of Fusarium spp. belonging to different species complexes can cause infection. Conventional species identification in the clinical laboratory is time-consuming and prone to errors. We therefore evaluated whether matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) is a useful alternative. The 289 Fusarium strains from the Belgian Coordinated Collections of Microorganisms (BCCM)/Institute of Hygiene and Epidemiology Mycology (IHEM) culture collection with validated sequence-based identities and comprising 40 species were used in this study. An identification strategy was developed, applying a standardized MALDI-TOF MS assay and an in-house reference spectrum database. In vitro antifungal testing was performed to assess important differences in susceptibility between clinically relevant species/species complexes. We observed that no incorrect species complex identifications were made by MALDI-TOF MS, and 82.8% of the identifications were correct to the species level. This success rate was increased to 91% by lowering the cutoff for identification. Although the identification of the correct species complex member was not always guaranteed, antifungal susceptibility testing showed that discriminating between Fusarium species complexes can be important for treatment but is not necessarily required between members of a species complex. With this perspective, some Fusarium species complexes with closely related members can be considered as a whole, increasing the success rate of correct identifications to 97%. The application of our user-friendly MALDI-TOF MS identification approach resulted in a dramatic improvement in both time and accuracy compared to identification with the conventional method. A proof of principle of our MALDI-TOF MS approach in the clinical setting using recently isolated Fusarium strains demonstrated its validity.

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“…Furthermore, infections caused by C. Albicans remain the predominant nosocomial fungal infections, due to the increasing population of patients whose immune systems are compromised by AIDS or immuno suppressant or anticancer therapy [18,19]. A limited number of available antifungal drugs and repeated exposure to these limited antifungal agents led to the rapid development of drug resistance [20]. Potent activity of the plant extracts against C. albicans suggests the possibility for the treatment of candidemia, nosocomialinfection, and other Candida infection-caused diseases.…”

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confidence: 99%

Anticandidal activity of several plants used by Bentian tribe in East Kalimantan, Indonesia

Kusuma¹,

Sari²,

Murdiyanto³

et al. 2016

AIP Conference Proceedings

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Emerging moulds: epidemiological trends and antifungal resistance

Cited by 89 publications

References 132 publications

Performance of Matrix-Assisted Laser Desorption Ionization−Time of Flight Mass Spectrometry for Identification of Aspergillus, Scedosporium, and Fusarium spp. in the Australian Clinical Setting

Performance of Matrix-Assisted Laser Desorption Ionization−Time of Flight Mass Spectrometry for Identification of Aspergillus, Scedosporium, and Fusarium spp. in the Australian Clinical Setting

Use of Matrix-Assisted Laser Desorption Ionization–Time of Flight Mass Spectrometry for Identification of Molds of the Fusarium Genus

Anticandidal activity of several plants used by Bentian tribe in East Kalimantan, Indonesia

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