Multi-Center Evaluation of the VITEK MS v3.0 System for the Identification of Filamentous Fungi

Size: px
Start display at page:

Download "Multi-Center Evaluation of the VITEK MS v3.0 System for the Identification of Filamentous Fungi"

Transcription

1 JCM Accepted Manuscript Posted Online 5 November 207 J. Clin. Microbiol. doi:0.28/jcm Copyright 207 American Society for Microbiology. All Rights Reserved. MultiCenter Evaluation of the VITEK MS v3.0 System for the Identification of Filamentous Fungi Jenna Rychert, #, E. Sue Slechta, Adam P. Barker 2, Edwin Miranda 3, N. Esther Babady 3, YiWei Tang 3, 5, Connie Gibas 4, Nathan Wiederhold 4, DeAnna Sutton 4, Kimberly E. Hanson 2 ARUP Laboratories, Salt Lake City, UT, USA; 2 University of Utah, Salt Lake City, UT, USA; 3 Memorial Sloan Kettering Cancer Center, New York, NY, USA; 4 University of Texas Health Science Center, San Antonio, San Antonio, TX, USA; 5 Weill Medical College of Cornell University, New York, NY, USA Running Head: Identification of Mold Using VITEK MS v3.0 #Address correspondence to Jenna Rychert, Jennifer.Rychert@aruplab.com Deceased.

2 7 Abstract Invasive fungal infections are an important cause of morbidity and mortality affecting primarily immunocompromised patients. While fungal identification to the species level is critical to providing appropriate therapy, it can be slow, laborious, and often relies on subjective morphologic criteria. The use of MALDITOF mass spectrometry has the potential to speed up and improve the accuracy of identification. In this multicenter study, we evaluated the accuracy of the VITEK MS v3.0 system in identifying,60 clinical mold isolates as compared to identification by DNA sequence analysis and supported by morphologic and phenotypic testing. Among the 59 isolates representing organisms in the v3.0 database, 9% (n=387) were correctly identified to the species level. An additional 27 isolates (2%) were correctly identified to the genus level. Fifteen isolates were incorrectly identified, either due to a single incorrect identification (n=3) or multiple identifications from different genera (n=2). In those cases, when a single identification was provided that was not correct, the misidentification was within the same genus. The VITEK MS v3.0 was unable to identify 9 (6%) isolates, despite repeat testing. These isolates were distributed among all the genera. When considering all isolates tested, even those that were not represented in the database, the VITEK MS v3.0 provided a single correct identification 98% of the time. These findings demonstrate that the VITEK MS v3.0 system is highly accurate for the identification of common molds encountered in the clinical mycology laboratory

3 38 Introduction Species level identification is critical for the evaluation and management of fungal infections. Mold identification has traditionally been based on subjective assessments of the macroscopic and microscopic appearance of organisms grown in culture. This is problematic given that species that may be morphologically similar can be genetically distinct, pathologically different, and may have different antifungal susceptibility profiles. Furthermore, consistent and accurate results are dependent on highly skilled clinical mycologists that have undergone substantial training. DNA sequencing is widely accepted as the reference method for fungal identification. However, accurate specieslevel identification often requires sequencing of multiple gene targets, can be expensive, and may not be readily available in the routine clinical setting. Matrixassisted laser desorption ionization time of flight mass spectrometry (MALDITOF MS) has potential clinical utility for species level identification of molds, just as it does for bacteria and yeasts (6). Recent studies suggest that successful identification of molds using mass spectrometry depends on the availability of a diverse and wellcurated database (77). Unlike the previous version, the newest version (v3.0) of the database that is included with the VITEK MS system (biomérieux, Inc., Durham, NC) includes 79 medically relevant mold species. Each species is represented by 222 unique isolates with 75% represented by four or more isolates (D. Pincus, personal communication). Database spectra were generated by testing each isolate under several growth conditions, including several media types and multiple incubation times, using multiple instruments, and several different operators. The end result is a collection of 3

4 over 20 reference spectra per species. In the present study, we evaluated the accuracy of the VITEK MS v3.0 system for identification of clinically relevant molds in comparison to DNA sequence analysis supported by morphologic and phenotypic testing Results Clinical isolates. A total of,59 unique mold isolates, representing organisms that are included in the VITEK MS v3.0 database, were tested over the course of the study. These isolates included 26 genera and 5 species. As shown in Table, the VITEK MS v3.0 provided a single identification that was correct to the species level for,387 (9%) of the isolates tested. An additional 27 (2%) isolates were correctly identified at the genus level (Table 2). Correct genus level identifications were instances where the VITEK MS v3.0 reported multiple species within the same genus, and this matched the genus identification provided by the reference method. As shown in Table 3, 5 isolates were misidentified (%), either as a result of a single incorrect identification (3 isolates) or reporting of multiple genera (2 isolates). All single species incorrect identifications were accurate at the genus level. In addition, results with multiple genera always included the correct specieslevel identification. Given that sequencing cannot always discriminate between phylogenetically similar organisms, we verified that these reference results were accurate using maximum parsimony and Bayesian analyses (Supplemental Data). In all cases, the reference result provided in Table 3 was fully supported by these additional analyses. A total of 79 isolates (5%) had to undergo repeat testing in order to obtain the final result (Table 4). A minority of these (9 of 79, %) produced spectra of 4

5 insufficient quality, leading to the result of No Identification. For 50 of the isolates, a correct identification was made after respotting the original extract. The other 29 isolates required reextraction to get the correct identification. A result of No identification was obtained for 9 (6%) isolates despite repeat testing. Eightytwo isolates representing organisms not included in the VITEK MS v3.0 database were also tested (Table 5). In the majority of cases (60/82; 73%), the VITEK MS v3.0 gave a result of No identification. The remaining 27% (22 of 82) were provided with a single identification that was incorrect. These misidentifications represent % of the total isolates tested (22 of 60).The majority (20 of 22) of these misidentified isolates were still within the correct genus. Clinical isolate results by organism group Dimorphic fungi. The VITEK MS v3.0 accurately identified 4 of the 4 dimorphic fungi that were tested. This included 40 isolates of Blastomyces dermititidis, 38 isolates of Coccioides immitis/posadasii, 32 isolates of Histoplasma capsulatum, and 3 isolates of Sporothrix schenkii complex. Three Coccidiodes immitis/posadasii and one Histoplasma capsulatum had to be respotted after an initial result of No identification in order to obtain the final correct identification. 98 5

6 Mucorales. Of the 8 Mucorales isolates tested, 0 (86%) were accurately identified to the specieslevel. Accuracy was highest for Lictheimia corymbifera (29/3, 94%), followed closely by members of the Rhizopus microsporus complex (26/29, 90%). There was a single Rhizopus microsporus that was misidentified as Rhizopus arrhizus. Seven Mucor racemosus and three Rhizopus microsporus underwent repeat testing after an initial result of No identification. A correct identification was made by respotting the original extract in all of these cases. Sixteen Mucorales isolates (4%) could not be identified despite repeat testing; the majority of these were Mucor racemosus or Rhizopus arrhizus species complex. Aspergillus. Aspergillus species were one of the largest groups of organisms included in the study. The majority of Aspergillus isolates tested (305/329, 93%) were correctly identified to the species level. Twentythree (7%) Aspergillus isolates were not identified. Repeat testing was performed on 6 isolates that were initially not identified, including 7 that needed to be respotted and 9 that needed to be reextracted. The VITEK MS v3.0 was least accurate for obtaining a species level identification for A. versicolor. One A. versicolor isolate was identified at the genus level and an additional eight could not be identified, despite repeat testing. Dematiaceous fungi. A total of 325 dematiaceous fungi were tested; 295 (9%) of these were correctly identified to the specieslevel. Of note, all 4 Scedosporium apiospermum, 32 Scedosporium prolificans, and 3 Exophiala dermatitidis were correctly identified. Eleven of the dematiaceous fungal isolates required repeat testing due to a failure to be identified on the first 6

7 analysis. Five of these were correctly identified after respotting the initial extract and another five were correctly identified after spotting a new extract. There was one Scedosporium boydii (formerly Pseudallescheria boydii) isolate that was misidentified after repeat testing of a new extract as Scedosporium apiospermum. Note that these organisms were previously considered to be the sexual (teleomorph) and asexual (anamorph) forms of one another, respectively, but are now recognized as separate species (8). There was also a Cladophialophora bantiana isolate in which the VITEK MS v3.0 gave a split result of Cladophialophora bantiana and Candida colliculosa. In all, the system failed to identify 28 (9%) of the dematiaceous fungi tested. Of these, six (five E. rostratum and one C. spicifera) had spectra of insufficient quality on all repeat testing which led to the result of No Identification. Dermatophytes. The majority of the dermatophytes (246/29, 85%) were correctly identified to the specieslevel. Trichophyton species were particularly problematic, with 2 isolates incorrectly identified. Eleven of these were a single incorrect identification within the Trichophyton genus. The result for the remaining isolate was a split identification that included T. violaceum, Candida lambica, and Fusarium oxysporum complex. There were no Trichophyton isolates for which the VITEK MS v3.0 ultimately provided a result of No identification, however, 2 needed repeat testing in order to obtain the final correct result. There were seven Microsporum or Epidermophyton isolates that could not be identified by VITEK MS v3.0, with an additional 5 that required repeat testing after failing to be identified on the first analysis. E. floccosum was the only organism in this group for which repeat testing was the result of poor 7

8 4 42 quality spectra. For each of the three isolates of this organism that underwent repeat testing, lack of a quality spectra was the reason repeat testing was required Other Potential Pathogens. Among the other 36 potentially pathogenic molds tested, 299 (95%) were correctly identified to the species level. Among these were six isolates that were respotted and five isolates that were reextracted in order to get the final correct result after failing to be identified on the first analysis. No molds within this category were misidentified or identified only to the genus level. Seventeen of the isolates were not identified despite repeat testing. Challenge Set. In addition to the isolates obtained during the course of clinical work, a panel of 50 wellcharacterized isolates representing 6 genera and 27 species included in the VITEK MS v3.0 database were run at each of the three clinical laboratories. As shown in Table 6, 4 of the 50 (94%) challenge isolates were correctly identified to the species level. There were no misidentifications, but nine isolates could not be identified despite repeat testing. The VITEK MS v3.0 failed to identify two isolates in each of two laboratories and five isolates in the other laboratory. Specifically, an isolate of Rhizopus arrhizus was not identified at two of the three laboratories and an Aspergillus versicolor was not identified at any of the three laboratories. 59 8

9 Reproducibility. Reproducibility testing produced a single correct identification to the species level for 298 of the 300 (>99%) isolates in the reproducibility panel. In two instances, Purpureocillium lilacinum was not identified, once at site three and once at site one. There was also a single instance where Aspergillus fumigatus was not identified on the initial run at site three, but upon repeat testing of the same extract, the correct result to the species level was obtained. There were no misidentifications of any organism at any site. There also were no differences in organism identification by site, operator, reagent kit, or day. Given that the VITEK MS v3.0 failed to identify Purpureocillium lilacinum but no other organism, there may be organismspecific factors that contribute to a failure to identify a specific isolate. Discussion The US Food and Drug Administration (FDA) recently cleared the VITEK MS v3.0 system for the identification of 79 filamentous fungi. Identification of molds using this system requires sample preparation that is not necessary for the identification of bacteria and yeast. In particular, the sample is inactivated in ethanol and protein extraction is performed in a tube prior to deposition on the target slide. Testing can be performed within 28 days of visible growth on rapidly growing molds and within 525 days for slow growing molds. Thus, the VITEK MS v3.0 system, with its commercially available reagents, standardized SOP, and robust database that allows for flexibility in incubation time, should make identification of commonly encountered molds feasible for many clinical laboratories. 9

10 This study confirms the excellent accuracy and reproducibility of the VITEK MS v3.0 system for the identification of common molds to the genus or species level. Despite organism group specific limitations, when a single identification was provided it was correct 98% of the time. The system was especially good at identifying dimorphic fungi (00% accuracy), but somewhat less effective for dermatophytes, with only 85% of these isolates correctly identified to the species level. This was primarily due to a genus level identification or a misidentification between Trichophyton violaceum and Trichophyton rubrum and similar issues with Trichophyton species of Arthroderma benhamiae including T. verrucosum, T. interdigitale, and T. erinacei. In all these cases, the VITEK MS v3.0 result was a genetically similar species to the reference identification. Other MALDITOF MS studies have also noted difficulty in discriminating some Trichophyton species, especially T. violaceum and T. rubrum due to their high degree of homology (9, 20). This issue can sometimes be resolved by adding more spectral libraries for these organisms into the database; however, this is not always the case (7). Future database updates may want to take this into consideration. Relative to other groups, organisms in the order Mucorales were the most likely to produce a result of No identification even with repeat testing (4%). This was most pronounced for M. racemosus and R. arrhizus. While several studies have evaluated the accuracy of MALDITOF MS for identifying members of the Mucorales, these species are not well represented in the literature, so it is difficult to determine whether this is a common problem (8, 0,, 3, 223). Poorer performance for either the dermatophytes or the Mucorales is unlikely to be due to differences in the age of the culture at time of testing. While fungal protein profiles may change as incubation time 0

11 progresses, this has been accounted for in the VITEK MS v3.0 database. Several dematiaceous fungi could not be identified as a result of poor quality spectra. Initial studies suggested that darkly pigmented fungi may be difficult to identify by MALDITOF MS (24); however, more recent work has shown that this is not necessarily the case (8, 2527). Multiple studies have previously evaluated the accuracy of MALDITOF MS for identifying molds (7, 8, 07, 9, 20, 23, 28, 29). The strength of this study is the large number of organisms tested across a variety of clinical laboratories using a standardized procedure and instrumentation. A limitation is that the study primarily focused on molds more commonly encountered in the clinical mycology laboratory and those contained in the VITEK MS v3.0 database. Among the isolates that were tested that were not represented in the database, the majority was given the most appropriate result of No Identification. The misidentifications for organisms not represented in the database represent % of all of the isolates tested. Further, they were all correct at the genus level and the misidentification at the species level is unlikely to impact initial antifungal therapy. Performance of the system in clinical practice will ultimately depend on the epidemiology of organisms encountered in any individual clinical setting. For example, the spectrum of organisms identified in a reference setting or cancer center, may be more diverse than is seen in a community hospital. Using a customized database that is more comprehensive may make sense for some laboratories; however, creation of an expanded database with more rare organisms requires additional time, expertise, and quality control. 223

12 In summary, the VITEK MS v3.0 system is highly accurate for the identification of commonly encountered molds in the clinical mycology laboratory. With this technology, it may now be feasible for more clinical laboratories to accurately identify a range of filamentous fungi to the specieslevel. Materials and Methods Study Sites. VITEK MS v3.0 system test performance was evaluated at three clinical laboratories within the United States (ARUP Laboratories, Salt Lake City, UT; University of Texas Health Science Center, San Antonio, TX; and Memorial Sloan Kettering Cancer Center, New York, NY). Prior to initiation of testing, operators at each site were trained on the testing protocol, isolate and target slide preparation, and result review per the manufacturer s instructions. Prior to testing study samples, each operator was required to analyze a panel of five molds in duplicate (Aspergillus fumigatus, Fusarium proliferatum, Purpureocillium lilacinum, Lecythophora hoffmanii, and Penicillium chrysogenum). Testing could begin once they were able to achieve at least 90% agreement between duplicate samples and 95% correct identifications. This study was approved by the human subjects committees at the respective sites, when deemed necessary by their institutional review boards Mold Isolates. Each study site was responsible for testing approximately 0 clinical isolates per species of a predefined list of organisms (Table ), with preference given to fresh isolates 2

13 obtained during the course of clinical work. In the event that a site was unable to obtain 0 fresh isolates, additional frozen isolates obtained from a culture collection or provided by the study sponsor were permitted. In additional to the clinical isolates, each site also tested a challenge set consisting of 50 wellcharacterized strains. The identity of the organisms within the challenge set was blinded to the operators performing the testing. Cultures were incubated under standard conditions at 30 C and tested within 28 days of visible growth for rapidly growing molds or 525 days for slow growing molds. Cultures were grown on potato dextrose agar, Sabouraud dextrose agar, or Sabouraud dextrose agar with gentamicin and chloramphenicol. These culture conditions were identical to the conditions used to build the v3.0 Knowledgebase. Frozen isolates were required to undergo subculture twice prior to testing. Sample Preparation for MALDITOF Analysis. Sample preparation was performed according to the manufacturer s instructions using the VITEK MS Mould Reagent Kit (biomérieux, Durham, NC). Approximately cm 2 of mold was inactivated in 900 µl of 70% ethanol followed by centrifugation at 4,000 g for 2 minutes. Ethanol was removed and protein extraction was performed by resuspending the pellet in 40 µl of 70% formic acid and 40 µl of acetonitrile. After centrifugation again at 4,000 g for 2 min, µl of the supernatant was spotted on the target slide, allowed to dry, and overlaid with µl of a saturated solution of alphacyano4 3

14 hydroxycinnamic acid matrix in 50% acetonitrile plus 2.5% trifluoroacetic acid (VITEK MSCHCA; biomérieux, Inc.) For instrument calibration, an Escherichia coli reference strain (ATCC 8739) was transferred to designated wells on the target slide using a.0 µl loop, overlaid with.0 µl of VITEK MSCHCA matrix, and air dried. Positive (Aspergillus brasiliensis; ATCC 6404) and negative (reagents alone) controls were analyzed on each day of testing. Organism Identification using the VITEK MS v3.0 System. The VITEK MS v3.0 system includes an OEM (original equipment manufacturer)labeled Shimadzu AXIMA Assurance mass spectrometer linked to a reference database as previously described (2). In those instances when a result of No identification was obtained, repeat testing of a single spot was performed using the same extract. If a result of No identification was obtained again, a new sample extract was prepared and tested on a single spot. If identification was still not made, a result of No Identification was used as the final result. In cases where multiple genera were reported, a new extract was prepared and tested on a single spot. The result obtained upon repeat testing was used as the final result Organism Identification by DNA Sequencing. All study isolates were sent to a centralized laboratory (Fungus Testing Laboratory, University of Texas Health Science Center, San Antonio, 4

15 TX) for DNA sequencebased identification combined with morphologic/phenotypic characteristics. DNA sequence analysis was performed after PCR amplification and sequencing of isolatespecific targets (ITS/ITS2 and D/D2 regions of rrna, tubulin, calmodulin, actin, glyceraldehyde3phosphate dehydrogenase, RNA polymerase II subunits RPB & RPB2, and/or translation elongation factor genes) (30). BLASTn analysis of the DNA sequences was conducted using publically available databases, including GenBank, CBS KNAW, and FusariumDB. DNA sequence identification results were confirmed by morphologic/phenotypic analysis. In the event of a discrepancy or lowdiscrimination result, or when discordant results were obtained using this method, supplemental sequencing of a different gene target and/or phenotypic testing was performed. Analysis. The VITEK MS v3.0 result was considered accurate to the species level if a single identification was given and it matched the identification obtained by sequencing. It was considered correct to the genus level if multiple identifications, all from the same genus, were reported and this matched the genus obtained by sequencing. It was considered incorrect, if a single identification was given that did not match (at some taxonomic level) the result obtained by sequencing or when multiple identifications of different genera were reported Reproducibility testing. Reproducibility testing was performed by two operators at each clinical laboratory. A panel of five organisms (Aspergillus fumigatus, Fusarium proliferatum, Purpureocillium lilacinum, Lecythophora hoffmannii, and Penicillium chrysogenum) was tested 5

16 in duplicate on two runs daily for five days. The identity of each organism was blinded to the operators. Testing was performed using three different lots of reagents. The position of each organism on the target slide was predetermined and tested sequentially on one slide and randomized on a second slide. Sample preparation, organism identification on the VITEK MS v3.0, and result analysis was performed as described above. Acknowledgements We thank Tracy McMillen, Pam Foster, Janet Hindler, Romney Humphries, Stephen Jenkins, Doris Ortez, Michael Pfaller, Tonya Snyder, Charles Stratton, and Susan WuButler for technical assistance and/or clinical isolate provision. This study was performed as part of an FDA trial of the VITEK MS v3.0 system and was funded by the device manufacturer (biomérieux, Inc., Durham, NC) under research agreements of SK (Memorial Sloan Kettering Cancer Center). The analysis of the data presented herein was performed by the study authors without influence by the device manufacturer. This study was supported in part by an NIH/NCI Cancer Center Support Grant P30 (CA008748)

17 323 References Richter SS, Sercia L, Branda JA, Burnham CA, Bythrow M, Ferraro MJ, Garner OB, Ginocchio CC, Jennemann R, Lewinski MA, Manji R, Mochon AB, Rychert JA, Westblade LF, Procop GW Identification of Enterobacteriaceae by matrixassisted laser desorption/ionization timeofflight mass spectrometry using the VITEK MS system. Eur J Clin Microbiol Infect Dis 32: Rychert J, Burnham CA, Bythrow M, Garner OB, Ginocchio CC, Jennemann R, Lewinski MA, Manji R, Mochon AB, Procop GW, Richter SS, Sercia L, Westblade LF, Ferraro MJ, Branda JA Multicenter evaluation of the Vitek MS matrixassisted laser desorption ionizationtime of flight mass spectrometry system for identification of Grampositive aerobic bacteria. J Clin Microbiol 5: Westblade LF, Jennemann R, Branda JA, Bythrow M, Ferraro MJ, Garner OB, Ginocchio CC, Lewinski MA, Manji R, Mochon AB, Procop GW, Richter SS, Rychert JA, Sercia L, Burnham CA Multicenter study evaluating the Vitek MS system for identification of medically important yeasts. J Clin Microbiol 5: Branda JA, Rychert J, Burnham CA, Bythrow M, Garner OB, Ginocchio CC, Jennemann R, Lewinski MA, Manji R, Mochon AB, Procop GW, Richter SS, Sercia LF, Westblade LF, Ferraro MJ Multicenter validation of the VITEK MS v2.0 MALDITOF mass spectrometry system for the identification of fastidious gramnegative bacteria. Diagn Microbiol Infect Dis 78: Garner O, Mochon A, Branda J, Burnham CA, Bythrow M, Ferraro M, Ginocchio C, Jennemann R, Manji R, Procop GW, Richter S, Rychert J, Sercia L, Westblade L, 7

18 Lewinski M Multicentre evaluation of mass spectrometric identification of anaerobic bacteria using the VITEK(R) MS system. Clin Microbiol Infect 20: Manji R, Bythrow M, Branda JA, Burnham CA, Ferraro MJ, Garner OB, Jennemann R, Lewinski MA, Mochon AB, Procop GW, Richter SS, Rychert JA, Sercia L, Westblade LF, Ginocchio CC Multicenter evaluation of the VITEK(R) MS system for mass spectrometric identification of nonenterobacteriaceae Gramnegative bacilli. Eur J Clin Microbiol Infect Dis 33: Theel ES, Hall L, Mandrekar J, Wengenack NL. 20. Dermatophyte identification using matrixassisted laser desorption ionizationtime of flight mass spectrometry. J Clin Microbiol 49: Lau AF, Drake SK, Calhoun LB, Henderson CM, Zelazny AM Development of a clinically comprehensive database and a simple procedure for identification of molds from solid media by matrixassisted laser desorption ionizationtime of flight mass spectrometry. J Clin Microbiol 5: L'Ollivier C, Cassagne C, Normand AC, Bouchara JP, ContetAudonneau N, Hendrickx M, Fourquet P, Coulibaly O, Piarroux R, Ranque S A MALDITOF MS procedure for clinical dermatophyte species identification in the routine laboratory. Med Mycol 5: Becker PT, de Bel A, Martiny D, Ranque S, Piarroux R, Cassagne C, Detandt M, Hendrickx M Identification of filamentous fungi isolates by MALDITOF mass spectrometry: clinical evaluation of an extended reference spectra library. Med Mycol 52:

19 Ranque S, Normand AC, Cassagne C, Murat JB, Bourgeois N, Dalle F, GariToussaint M, Fourquet P, Hendrickx M, Piarroux R MALDITOF mass spectrometry identification of filamentous fungi in the clinical laboratory. Mycoses 57: Schulthess B, Ledermann R, Mouttet F, Zbinden A, Bloemberg GV, Bottger EC, Hombach M Use of the Bruker MALDI Biotyper for identification of molds in the clinical mycology laboratory. J Clin Microbiol 52: Chen YS, Liu YH, Teng SH, Liao CH, Hung CC, Sheng WH, Teng LJ, Hsueh PR Evaluation of the matrixassisted laser desorption/ionization timeofflight mass spectrometry Bruker Biotyper for identification of Penicillium marneffei, Paecilomyces species, Fusarium solani, Rhizopus species, and Pseudallescheria boydii. Front Microbiol 6: Cassagne C, Normand AC, L'Ollivier C, Ranque S, Piarroux R Performance of MALDITOF MS platforms for fungal identification. Mycoses 59: Normand AC, Cassagne C, Gautier M, Becker P, Ranque S, Hendrickx M, Piarroux R Decision criteria for MALDITOF MSbased identification of filamentous fungi using commercial and inhouse reference databases. BMC Microbiol 7: Park JH, Shin JH, Choi MJ, Choi JU, Park YJ, Jang SJ, Won EJ, Kim SH, Kee SJ, Shin MG, Suh SP Evaluation of matrixassisted laser desorption/ionization timeoffight mass spectrometry for identification of 345 clinical isolates of Aspergillus species from Korean hospitals: comparison with molecular identification. Diagn Microbiol Infect Dis 87:283. 9

20 Sanguinetti M, Posteraro B Identification of Molds by MatrixAssisted Laser Desorption IonizationTime of Flight Mass Spectrometry. J Clin Microbiol 55: Gilgado F, Cano J, Gene J, Sutton DA, Guarro J Molecular and phenotypic data supporting distinct species statuses for Scedosporium apiospermum and Pseudallescheria boydii and the proposed new species Scedosporium dehoogii. J Clin Microbiol 46: De Respinis S, Monnin V, Girard V, Welker M, Arsac M, Celliere B, Durand G, Bosshard PP, Farina C, Passera M, Van Belkum A, Petrini O, Tonolla M Matrixassisted laser desorption ionizationtime of flight (MALDITOF) mass spectrometry using the Vitek MS system for rapid and accurate identification of dermatophytes on solid cultures. J Clin Microbiol 52: de Respinis S, Tonolla M, Pranghofer S, Petrini L, Petrini O, Bosshard PP Identification of dermatophytes by matrixassisted laser desorption/ionization timeofflight mass spectrometry. Med Mycol 5: De Carolis E, Posteraro B, LassFlorl C, Vella A, Florio AR, Torelli R, Girmenia C, Colozza C, Tortorano AM, Sanguinetti M, Fadda G Species identification of Aspergillus, Fusarium and Mucorales with direct surface analysis by matrixassisted laser desorption ionization timeofflight mass spectrometry. Clin Microbiol Infect 8: Dolatabadi S, Kolecka A, Versteeg M, de Hoog SG, Boekhout T Differentiation of clinically relevant Mucorales Rhizopus microsporus and R. arrhizus by matrixassisted laser desorption ionization timeofflight mass spectrometry (MALDITOF MS). J Med Microbiol 64:

21 McMullen AR, Wallace MA, Pincus DH, Wilkey K, Burnham CA Evaluation of the Vitek MS MatrixAssisted Laser Desorption IonizationTime of Flight Mass Spectrometry System for Identification of Clinically Relevant Filamentous Fungi. J Clin Microbiol 54: Buskirk AD, Hettick JM, Chipinda I, Law BF, Siegel PD, Slaven JE, Green BJ, Beezhold DH. 20. Fungal pigments inhibit the matrixassisted laser desorption/ionization timeofflight mass spectrometry analysis of darkly pigmented fungi. Anal Biochem 4: Kondori N, Erhard M, WelinderOlsson C, Groenewald M, Verkley G, Moore ER Analyses of black fungi by matrixassisted laser desorption/ionization timeofflight mass spectrometry (MALDITOF MS): specieslevel identification of clinical isolates of Exophiala dermatitidis. FEMS Microbiol Lett 362: OzhakBaysan B, Ogunc D, Dogen A, Ilkit M, de Hoog GS MALDITOF MSbased identification of black yeasts of the genus Exophiala. Med Mycol 53: Singh A, Singh PK, Kumar A, Chander J, Khanna G, Roy P, Meis JF, Chowdhary A Molecular and MatrixAssisted Laser Desorption IonizationTime of Flight Mass SpectrometryBased Characterization of Clinically Significant Melanized Fungi in India. J Clin Microbiol 55: Alshawa K, Beretti JL, Lacroix C, Feuilhade M, Dauphin B, Quesne G, Hassouni N, Nassif X, Bougnoux ME Successful identification of clinical dermatophyte and Neoscytalidium species by matrixassisted laser desorption ionizationtime of flight mass spectrometry. J Clin Microbiol 50:

22 Nenoff P, Erhard M, Simon JC, Muylowa GK, Herrmann J, Rataj W, Graser Y MALDITOF mass spectrometry a rapid method for the identification of dermatophyte species. Med Mycol 5: White TJ, T. Bruns, S. Lee, and J. W. Taylor 990. Amplification and direct sequencing of fungal ribosomal RNA genes for phylogenetics., p In Innis MA, D. H. Gelfand, J. J. Sninsky, and T. J. White (ed), PCR Protocols: A Guide to Methods and Applications. Academic Press, Inc., New York. Downloaded from on December 3, 208 by guest 22

23 Dematiaceous (n=325) Dermatophytes (n=29) Dimorphs (n=4) Mucorales (n=8) 44 Tables Table. Accuracy of VITEK MS v3.0 Compared to Sequencing for Clinical Isolates Included in the Database Reference Identification Mucor racemosus complex (n=30) Rhizopus arrhizus complex (n=28) Rhizopus microsporus complex (n=29) Lichtheimia corymbifera (n=3) Correct to Species 24 (80) 22 (79) 26 (90) 29 (94) VITEK MS Identification (%) Correct to Genus Incorrect Results (3) No ID 6 (20) 6 (2) 2 (7) 2 (6) Total 0 (86) (<) 6 (4) Blastomyces dermatitidis (n=40) Coccidioides immitis/posadasii (n=38) Histoplasma capsulatum (n=32) Sporothrix schenckii complex (n=3) 40 (00) 38 (00) 32 (00) 3 (00) Total 4 (00) Arthroderma benhamiae (n=) Microsporum audouinii (n=33) Microsporum canis (n=3) Microsporum gypseum (n=35) Epidermophyton floccosum (n=3) Trichophyton mentagrophytes complex Trichophyton interdigitale (n=30) Trichophyton rubrum (n=3) Trichophyton tonsurans (n=33) Trichophyton verrucosum (n=3) Trichophyton violaceum (n=34) (n=) (00) 30 (9) 30 (97) 32 (9) 30 (97) (00) 29 (97) 3 (00) 30 (9) 8 (58) 4 (4) (3) (3) (3) 9 (29) 4 (4) 2 (6) 4 (3) 6 (8) 2 (6) (3) 3 (9) 2 (3) Total 246 (85) 26 (9) 2 (4) 7 (2) Alternaria alternata (n=32) Curvularia hawaiiensis (n=26) Curvularia spicifera (n=35) Exserohilum rostratum (n=35) Exophiala dermatitidis (n=3) Exophiala xenobiotica (n=32) Scedosporium boydii (n=32) Scedosporium apiospermum (n=4) Scedosporium prolificans (n=32) Cladophialophora bantiana (n=29) 30 (94) 25 (96) 34(97) 9 (54) 3 (00) 25 (78) 30 (94) 4 (00) 32 (00) 28 (97) (3) (3) 2 (6) (4) 2 (3) 6 3 (46) 7 (22) (3) Total 295 (9) 2 (<) 28 (9) 23

24 Other potential pathogens (n=36) Aspergillus species (n=328) Aspergillus brasiliensis (n=3) Aspergillus calidoustus (n=33) Aspergillus flavus/oryzae (n=33) Aspergillus fumigatus (n=32) Aspergillus lentulus (n=30) Aspergillus nidulans (n=33) Aspergillus niger complex (n=37) Aspergillus sydowii (n=30) Aspergillus terreus complex (n=34) Aspergillus unguis (4) Aspergillus versicolor (n=3) 29 (94) 29 (88) 33 (00) 32 (00) 30 (00) 32 (97) 32 (87) 30 (97) 32 (94) 4 (00) 22 (7) (3) 2 (7) 4 (2) (3) 5 (4) (3) 2 (6) 8 (26) Total 305 (93) (<) 23 (7) Fusarium oxysporum complex (n=3) Fusarium proliferatum (n=30) Fusarium solani complex (n=39) Paecilomyces variotii (n=30) Penicillium chrysogenum (n=30) Penicillium citrinum (n=) Rasamsonia argillacea (n=34) Acremonium sclerotigenum (n=30) Lecythophora hoffmannii (n=30) Sarocladium kiliense (n=30) Purpureocillium lilacinum (n=3) 30 (97) 30 (00) 33 (85) 30 (00) 30 (00) (00) 29 (85) 30 (00) 27 (90) 30 (00) 29 (94) (3) 6 (5) 5 (5) 3 (0) 2 (6) Total 299 (95) 7 (5) Total Molds (n=59) 387 (9) 27 (2) 5 () 9 (6) Not included in FDA claim 2 No identification due to spectra of insufficient quality on all repeat testing 3 For five of 6 isolates, no identification due to spectra of insufficient quality on all repeat testing 24

25 449 Table 2. Correct Identifications to the Genus Level for Clinical Isolates Included in the v3.0 Database Reference Result VITEK MS Result (number of results) Aspergillus versicolor Aspergillus versicolor, Aspergillus sydowii () Microsporum audouinii Microsporum canis, Microsporum audouinii () Trichophyton interdigitale Trichophyton tonsurans, Trichophyton interdigitale () Trichophyton tonsurans Trichophyton tonsurans, Trichophyton interdigitale () Trichophyton verrucosum Trichophyton verrucosum, Trichophyton erinacei (5) Trichophyton verrucosum, Trichophyton erinacei, Arthroderma benhamiae () Trichophyton verrucosum, Arthroderma benhamiae (2) Trichophyton erinacei, Arthroderma benhamiae () Trichophyton violaceum Trichophyton rubrum, Trichophyton violaceum (4) Arthroderma benhamiae is the telemorph of Trichophyton mentagrophytes Downloaded from on December 3, 208 by guest 25

26 Multiple Genera Single Identification 454 Table 3. Incorrect Identifications for Clinical Isolates Included in the v3.0 Database Reference Identification VITEK MS Identification (number of results) Rhizopus microsporus Rhizopus arrhizus () Trichophyton tonsurans Trichophyton interdigitale (2) Trichophyton verrucosum Trichophyton interdigitale (3) Trichophyton verrucosum Trichophyton erinacei () Trichophyton violaceum Trichophyton rubrum (5) Scedosporium boydii 2 Scedosporium apiospermum () Cladophialophora bantiana Cladophialophora bantiana, Candida colliculosa () Trichophyton violaceum Trichophyton violaceum, Candida lambica, Fusarium oxysporum complex () For additional analysis regarding the reference identification, see Supplemental Data. 2 The anamorph of Scedosporium apiospermum was previously named Pseudallescheria boydii, but it is now considered a separate species. 26

27 Other potential pathogens (n=36) Aspergillus species (n=328) Dematiaceous (n=325) Dermatophytes (n=29) Dimorphs (n=4) Mucorales (n=8) 46 Table 4. Results of Repeat Testing Reference Identification Respot Correct ID VITEK MS Identification (%) Reextract Correct ID Reextract MisID Mucor racemosus complex (n=30) Rhizopus microsporus complex (29) 7 (23) 3 (0) Total 0 (8) Coccidioides immitis/posadasii (n=38) Histoplasma capsulatum (n=32) 3 (8) (3) Total 4 (3) Epidermophyton floccosum (n=3) Microsporum audouinii (n=33) Microsporum canis (n=3) Microsporum gypseum (n=35) Trichophyton interdigitale (n=30) Trichophyton rubrum (n=3) Trichophyton verrucosum (n=3) Trichophyton violaceum (n=34) Total 8 (6) 9 (3) Alternaria alternata (n=32) Curvularia hawaiiensis (n=26) Exophiala dermatitidis (n=3) Exserohilum rostratum (n=35) Scedosporium boydii (n=32) Scedosporium apiospermum (n=4) Total 5 (2) 5 (2) (<) Aspergillus calidoustus (n=33) Aspergillus flavus/oryzae (n=33) Aspergillus nidulans (n=33) Aspergillus niger complex (n=37) Aspergillus sydowii (n=30) Aspergillus terreus complex (n=34) Aspergillus versicolor (n=3) Total 7 (2) 9 (3) Fusarium solani complex (n=35) Lecythophora hoffmannii (n=30) Paecilomyces variotii (n=30) Penicillium chrysogenum (n=30) Purpureocillium lilacinum (n=3) Rasamsonia argillacea (n=34) Sarocladium kiliense (n=30) Total 6 (2) 5 (2) Total Molds (n=59) 50 (3) 28 (2) () 27

28 No Identification (n=60) Incorrect Identification (n=22) 463 Table 5. Organisms not included in the v3.0 Database VITEK MS Identification Reference Identification (number of results) Aspergillus flavus/oryzae Aspergillus nomius () Aspergillus nidulans Aspergillus delacroxii (3) Aspergillus quadrilineatus (3) Emericella variecolor () Aspergillus versicolor Aspergillus amoenus (2) Aspergillus fructus () Candida kefyr/parapsilosis Cladophialophora boppii () Curvularia hawaiiensis Curvularia senegalensis () Curvularia spicifera Curvularia lunata () Curvularia pseudolunata () Fusarium chlamydosporum complex Fusarium incarnatumequiseti species complex () Fusarium oxysporum complex Fusarium nygamai () Fusarium proliferatum Fusarium fujikuroi (2) Mucor velutinosus Mucor circinelloides f. janssenii () Penicillium chrysogenum Penicillium rubens (2) No Identification Alternaria species () Aspergillus creber (2), Aspergillus jensenii (5), Aspergillus nomius (), Aspergillus section usti (), Aspergillus striatus/cleistominutus (), Aspergillus tabacinus (), Aspergillus tamarii () Chaetomium species () Cladophialophora carrionii (), Cladophialophora minourae (2) Cladosporium cladosporioides (), Cladosporium halotolerans (), Cladosporium sphaerospermum () Coprinellus xanthothrix () Curvularia aeria (2), Curvularia hominis (2), Curvularia lunata (), Curvularia pseudolunata (2), Curvularia species () Exophiala bergeri (), Exophiala oligosperma () Fusarium brachygibbosum (), Fusarium dimerum (2), Fusarium incarnatumequiseti species complex (), Fusarium lactis (), Fusarium lichenicola (), Fusarium sp. in Fusarium fujikuroi spp. Complex (), Fusarium sublutinans (), Fusarium verticillioides () Lichtheimia ramose (3), Lichtheimia ramose/corymbifera (2) Mucor circinelloides (), Mucor plumbeus () Paecilomyces formosus (2) Penicillium copticola (), Penicillium crustosum (2), Penicillium decumbens (), Penicillium janthinellum (), Penicillium paneum (), Penicillium polonicum (), Penicillium sizovae () Rhinocladiella similis () Sarocladium bifurcatum () Trichophyton soudanense () 28

29 Table 6. Accuracy of VITEK MS v3.0 Compared to Sequencing for the Challenge Set VITEK MS Identification (%) Reference Identification Correct to Species Correct to Genus Incorrect No ID Alternaria alternata (n=3) 3 (00%) Aspergillus flavus/oryzae (n=2) 2 (00%) Aspergillus fumigatus (n=9) 9 (00%) Aspergillus lentulus (n=3) 3 (00%) Aspergillus nidulans (n=3) 3 (00%) Aspergillus niger complex (n=3) 3 (00%) Aspergillus sydowii (n=6) 6 (00%) Aspergillus terreus complex (n=6) 6 (00%) Aspergillus versicolor (n=6) 2 (33%) 4 (67%) Curvularia spicifera (n=3) 3 (00%) Epidermophyton floccosum (n=3) 3 (00%) Exophiala xenobiotica (n=3) 3 (00%) Fusarium oxysporum complex (n=9) 9 (00%) Fusarium solani complex (n=6) 6 (00%) Lecythophora hoffmannii (n=3) 3 (00%) Lichtheimia corymbifera (n=3) 3 (00%) Paecilomyces variotii complex (n=6) 6 (00%) Penicillium chrysogenum (n=2) 2 (00%) Purpureocillium lilacinum (n=6) 5 (83%) (7%) Rhizopus arrhizus complex (n=6) 3 (50%) 3 (50%) Rhizopus microsporus complex (n=3) 2 (66%) (33%) Sarocladium kiliense (n=3) 3 (00%) Scedosporium apiospermum (n=6) 6 (00%) Scedosporium boydii (n=6) 6 (00%) Scedosporium prolificans (n=3) 3 (00%) Trichophyton interdigitale (n=6) 6 (00%) Trichophyton rubrum (n=3) 3 (00%) Total in Challenge Set (n=50) 4 (94%) 9 (6%) 29

Filamentous fungi MALDI-TOF identification

Filamentous fungi MALDI-TOF identification Filamentous fungi MALDI-TOF identification Stéphane Ranque Parasitologie & Mycologie AP-HM Timone Marseille, France stephane.ranque@ap-hm.fr Aspergillus flavus Aspergillus ochraceus Conidia 3 to 6 µ Conidia

More information

Evaluation of the VITEK MS MALDI-TOF MS System for Identification of Clinically. Relevant Filamentous Fungi. Carey-Ann D.

Evaluation of the VITEK MS MALDI-TOF MS System for Identification of Clinically. Relevant Filamentous Fungi. Carey-Ann D. JCM Accepted Manuscript Posted Online 25 May 2016 J. Clin. Microbiol. doi:10.1128/jcm.00825-16 Copyright 2016, American Society for Microbiology. All Rights Reserved. 1 2 Evaluation of the VITEK MS MALDI-TOF

More information

on November 12, 2018 by guest

on November 12, 2018 by guest JCM Accepted Manuscript Posted Online 2 November 2016 J. Clin. Microbiol. doi:10.1128/jcm.01640-16 Copyright 2016, American Society for Microbiology. All Rights Reserved. 1 2 3 4 5 6 7 8 Identification

More information

MBT Filamentous Fungi Library. Innovation with Integrity. MALDI Biotyper MALDI-TOF

MBT Filamentous Fungi Library. Innovation with Integrity. MALDI Biotyper MALDI-TOF MBT Filamentous Fungi Library MALDI Biotyper Innovation with Integrity MALDI-TOF MALDI Biotyper Tackle the filamentous fungi challenge The MALDI Biotyper has revolutionized the identification of microorganisms

More information

MALDI-TOF VITEK MS for the rapid and accurate. identification of dermatophytes on solid cultures

MALDI-TOF VITEK MS for the rapid and accurate. identification of dermatophytes on solid cultures JCM Accepts, published online ahead of print on 8 October 2014 J. Clin. Microbiol. doi:10.1128/jcm.02199-14 Copyright 2014, American Society for Microbiology. All Rights Reserved. 1 2 3 Original article

More information

IDENTIFICATION OF FUNGAL PATHOGENS BY MALDI-TOF MASS SPECTROMETRY. Alex van Belkum Delhi - March 19, 2015

IDENTIFICATION OF FUNGAL PATHOGENS BY MALDI-TOF MASS SPECTROMETRY. Alex van Belkum Delhi - March 19, 2015 IDENTIFICATION OF FUNGAL PATHOGENS BY MALDI-TOF MASS SPECTROMETRY Alex van Belkum Delhi - March 19, 2015 1 ASPERGILLUS SPECIES AND GENERA: THE HISTORICAL PERSPECTIVE 70 60 50 40 30 20 10 0 NUMBER OF SPECIES

More information

MALDI-TOF MS and Filamentous Fungal Identification: A Success Story?

MALDI-TOF MS and Filamentous Fungal Identification: A Success Story? DOI 10.1007/s12281-017-0277-6 ADVANCES IN DIAGNOSIS OF INVASIVE FUNGAL INFECTIONS (S CHEN, SECTION EDITOR) MALDI-TOF MS and Filamentous Fungal Identification: A Success Story? Marijke Hendrickx 1 # Springer

More information

Decision criteria for MALDI-TOF MS-based identification of filamentous fungi using commercial and in-house reference databases

Decision criteria for MALDI-TOF MS-based identification of filamentous fungi using commercial and in-house reference databases Normand et al. BMC Microbiology (2017) 17:25 DOI 10.1186/s12866-017-0937-2 RESEARCH ARTICLE Decision criteria for MALDI-TOF MS-based identification of filamentous fungi using commercial and in-house reference

More information

About the Editor Gerri S. Hall, Ph.D.

About the Editor Gerri S. Hall, Ph.D. About the Editor Gerri S. Hall, Ph.D. Dr. Hall s professional career has been focused on clinical microbiology: direct clinical activities of various areas such as bacteriology, mycobacteria, STD testing,

More information

Abstract. Introduction

Abstract. Introduction ORIGINAL ARTICLE MYCOLOGY Species identification of Aspergillus, Fusarium and Mucorales with direct surface analysis by matrix-assisted laser desorption ionization time-of-flight mass spectrometry E. De

More information

MALDI-TOF Mass Spectrometry: A New Rapid ID Method in Clinical Microbiology

MALDI-TOF Mass Spectrometry: A New Rapid ID Method in Clinical Microbiology MALDI-TOF Mass Spectrometry: A New Rapid ID Method in Clinical Microbiology Patrick R. Murray, PhD WW Director, Scientific Affairs BD Diagnostic Systems Outline MALDI-TOF is the most important innovation

More information

AUSTRALIAN ANTIFUNGAL SUSCEPTIBILITY DATA : PART 2 THE MOULDS ASPERGILLUS, SCEDOSPORIUM AND FUSARIUM.

AUSTRALIAN ANTIFUNGAL SUSCEPTIBILITY DATA : PART 2 THE MOULDS ASPERGILLUS, SCEDOSPORIUM AND FUSARIUM. AUSTRALIAN ANTIFUNGAL SUSCEPTIBILITY DATA 00-0: PART THE MOULDS ASPERGILLUS, SCEDOSPORIUM AND FUSARIUM. AUSTRALIAN Sarah Kidd, Rose Handke and ANTIFUNGAL David Ellis SUSCEPTIBILITY DATA 00-00 David SA

More information

Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry for the identification of beta-hemolytic streptococci

Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry for the identification of beta-hemolytic streptococci Original Article Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry for the identification of beta-hemolytic streptococci Chunmei Zhou 1 *, Lili Tao 2 *, Bijie Hu 3, Jian Ma 4,

More information

Insights into Antifungal Resistance & Newer (Other) Moulds

Insights into Antifungal Resistance & Newer (Other) Moulds Insights into Antifungal Resistance & Newer (Other) Moulds Nathan P. Wiederhold, PharmD Fungus Testing Laboratory (FTL) Department of Pathology & Laboratory Medicine South Texas Reference Laboratories

More information

A MALDI-TOF MS procedure for clinical dermatophyte species identification in the routine laboratory

A MALDI-TOF MS procedure for clinical dermatophyte species identification in the routine laboratory Medical Mycology October 2013, 51, 713 720 A MALDI-TOF MS procedure for clinical dermatophyte species identification in the routine laboratory CORALIE L OLLIVIER, CAROLE CASSAGNE, ANNE-CECILE NORMAND,

More information

Treatment of rare and emerging fungal infections. EFISG Educational Workshop 15 th ECCMID April 2, 2005, Copenhagen

Treatment of rare and emerging fungal infections. EFISG Educational Workshop 15 th ECCMID April 2, 2005, Copenhagen Treatment of rare and emerging fungal infections EFISG Educational Workshop 15 th ECCMID April 2, 2005, Copenhagen Helen Sambatakou Lecturer in Medicine and Infectious Diseases, University of Athens, Greece

More information

Ana Espinel-Ingroff 1, Elizabeth Johnson 2, Hans Hockey 3 and Peter Troke 4 *

Ana Espinel-Ingroff 1, Elizabeth Johnson 2, Hans Hockey 3 and Peter Troke 4 * Journal of Antimicrobial Chemotherapy (2008) 61, 616 620 doi:10.1093/jac/dkm518 Advance Access publication 25 January 2008 Activities of voriconazole, itraconazole and amphotericin B in vitro against 590

More information

Inter-laboratory comparison of sample preparation methods, database expansion and

Inter-laboratory comparison of sample preparation methods, database expansion and JCM Accepts, published online ahead of print on 11 June 2014 J. Clin. Microbiol. doi:10.1128/jcm.00563-14 Copyright 2014, American Society for Microbiology. All Rights Reserved. 1 2 3 Inter-laboratory

More information

Hyaline Molds. Aspergillus clavatus. Aspergillus flavus. Aspergillus fumigatus. Aspergillus glaucus. Aspergillus nidulans. Aspergillus niger Complex

Hyaline Molds. Aspergillus clavatus. Aspergillus flavus. Aspergillus fumigatus. Aspergillus glaucus. Aspergillus nidulans. Aspergillus niger Complex Hyaline Molds Aspergillus clavatus Aspergillus flavus Aspergillus fumigatus Aspergillus glaucus Aspergillus nidulans Aspergillus niger Complex Aspergillus terreus Complex Aspergillus ustus Aspergillus

More information

The Differentiation of Yeast and Yeast-Like Forms in Human Tissues. Introduction. Histochemical Stains Used to Detect Fungi. Histopathologic Diagnoses

The Differentiation of Yeast and Yeast-Like Forms in Human Tissues. Introduction. Histochemical Stains Used to Detect Fungi. Histopathologic Diagnoses The Differentiation of Yeast and Yeast-Like Forms in Human Tissues Gary W. Procop, MD Chair, Clinical Pathology Staff, Anatomic Pathology Director, Molecular Microbiology, Mycology, and Parasitology Cleveland

More information

MALDI-TOF mass spectrometry tools for microbial identification in archival document investigation

MALDI-TOF mass spectrometry tools for microbial identification in archival document investigation MALDI-TOF mass spectrometry tools for microbial identification in archival document investigation Kateřina Demnerová SMALL GRANT CO-FUNDED BY INTERNATIONAL VISEGRAD FUND Bratislava 31st March 2016 MALDI

More information

Epidemiology and Resistance in Aspergillus and other Moulds

Epidemiology and Resistance in Aspergillus and other Moulds Epidemiology and Resistance in Aspergillus and other Moulds Nathan Wiederhold, PharmD Associate Professor Director, Fungus Testing Laboratory Invasive Mould Infections Often opportunistic Associated with

More information

Tandem MS in Microbiology. Chris Doern, PhD D(ABMM) UT Southwestern Medical Center Dallas, TX

Tandem MS in Microbiology. Chris Doern, PhD D(ABMM) UT Southwestern Medical Center Dallas, TX Tandem MS in Microbiology Chris Doern, PhD D(ABMM) UT Southwestern Medical Center Dallas, TX Learning Objectives After the presentation you should be able to: 1. Understand the mass spectrometry methodology

More information

Mycology Review. Background. Background. Specimen Collection. Calcofluor White. Methods. Yeasts. Moulds. Melissa B. Miller, Ph.D.

Mycology Review. Background. Background. Specimen Collection. Calcofluor White. Methods. Yeasts. Moulds. Melissa B. Miller, Ph.D. Background Mycology Review Melissa B. Miller, Ph.D. April 4, 2008 Yeasts Unicellular Divide by budding or binary fission Moulds Filamentous hyphae interweave to form mycelium Saprobic phase: airborne,

More information

Comparison of Vitek MS and MALDI Biotyper for identification of Actinomycetaceae of

Comparison of Vitek MS and MALDI Biotyper for identification of Actinomycetaceae of JCM Accepted Manuscript Posted Online 30 December 2015 J. Clin. Microbiol. doi:10.1128/jcm.02758-15 Copyright 2015, American Society for Microbiology. All Rights Reserved. 1 2 Comparison of Vitek MS and

More information

YOTL a procedure for making auxiliary mass spectrum datasets for clinical routine identification of yeasts using the on-target-lysis method

YOTL a procedure for making auxiliary mass spectrum datasets for clinical routine identification of yeasts using the on-target-lysis method JCM Accepts, published online ahead of print on 17 September 2014 J. Clin. Microbiol. doi:10.1128/jcm.02128-14 Copyright 2014, American Society for Microbiology. All Rights Reserved. 1 2 3 4 5 6 7 8 9

More information

Accuracy of MALDI-TOF mass spectrometry for the identification of

Accuracy of MALDI-TOF mass spectrometry for the identification of JCM Accepts, published online ahead of print on 14 May 2014 J. Clin. Microbiol. doi:10.1128/jcm.00700-14 Copyright 2014, American Society for Microbiology. All Rights Reserved. 1 2 Accuracy of MALDI-TOF

More information

Comparison of mechanical disruption techniques for the rapid inactivation of

Comparison of mechanical disruption techniques for the rapid inactivation of JCM Accepted Manuscript Posted Online 10 August 2016 J. Clin. Microbiol. doi:10.1128/jcm.01096-16 Copyright 2016, American Society for Microbiology. All Rights Reserved. 1 2 3 4 5 6 7 8 9 10 Comparison

More information

OVERVIEW OF CURRENT IDENTIFICATION SYSTEMS AND DATABASES

OVERVIEW OF CURRENT IDENTIFICATION SYSTEMS AND DATABASES OVERVIEW OF CURRENT IDENTIFICATION SYSTEMS AND DATABASES EVERY STEP OF THE WAY 1 EVERY STEP OF THE WAY MICROBIAL IDENTIFICATION METHODS DNA RNA Genotypic Sequencing of ribosomal RNA regions of bacteria

More information

Received 6 May 2010/Returned for modification 21 June 2010/Accepted 9 July 2010

Received 6 May 2010/Returned for modification 21 June 2010/Accepted 9 July 2010 JOURNAL OF CLINICAL MICROBIOLOGY, Sept. 2010, p. 3053 3061 Vol. 48, No. 9 0095-1137/10/$12.00 doi:10.1128/jcm.00917-10 Copyright 2010, American Society for Microbiology. All Rights Reserved. Agar Block

More information

New triazoles and echinocandins: mode of action, in vitro activity and mechanisms of resistance

New triazoles and echinocandins: mode of action, in vitro activity and mechanisms of resistance For reprint orders, please contact reprints@expert-reviews.com New triazoles and echinocandins: mode of action, in vitro activity and mechanisms of resistance Expert Rev. Anti Infect. Ther. 7(8), 981 998

More information

Comparison of Heat Inactivation Method and Cell Disruption Protocols for Identification

Comparison of Heat Inactivation Method and Cell Disruption Protocols for Identification JCM Accepts, published online ahead of print on 25 September 2013 J. Clin. Microbiol. doi:10.1128/jcm.02612-13 Copyright 2013, American Society for Microbiology. All Rights Reserved. 1 2 Comparison of

More information

Comparative In Vitro Antifungal Activity of Amphotericin B and Amphotericin B Methyl Ester

Comparative In Vitro Antifungal Activity of Amphotericin B and Amphotericin B Methyl Ester ANTIMICROBiAL AGENTS AND CHEMOTHERAY, Jan. 975, P. 58-63 Copyright 0 975 American Society for Microbiology Vol. 7, No. Printed in U.S.A. Comparative In Vitro Antifungal Activity of Amphotericin B and Amphotericin

More information

Agar block smear preparation: a novel method of slide preparation for preservation

Agar block smear preparation: a novel method of slide preparation for preservation JCM Accepts, published online ahead of print on 21 July 2010 J. Clin. Microbiol. doi:10.1128/jcm.00917-10 Copyright 2010, American Society for Microbiology and/or the Listed Authors/Institutions. All Rights

More information

Prevalence of Nondermatophytes in Clinically Diagnosed Taeniasis

Prevalence of Nondermatophytes in Clinically Diagnosed Taeniasis ISSN: 2319-7706 Volume 4 Number 7 (2015) pp. 541-549 http://www.ijcmas.com Original Research Article Prevalence of Nondermatophytes in Clinically Diagnosed Taeniasis Sarada Dulla*, Poosapati Ratna kumari

More information

Thermotolerant filamentous fungi in belgian hospitals: 15 years of survey

Thermotolerant filamentous fungi in belgian hospitals: 15 years of survey BVMDM-SBMHA, November 14, 2013- Ophain Françoise SYMOENS Thermotolerant filamentous fungi in belgian hospitals: 15 years of survey Fungi in hospitals (species and amount) Different settings/context Analyse

More information

Fungi. Eucaryotic Rigid cell wall(chitin, glucan) Cell membrane ergosterol Unicellular, multicellular Classic fungus taxonomy:

Fungi. Eucaryotic Rigid cell wall(chitin, glucan) Cell membrane ergosterol Unicellular, multicellular Classic fungus taxonomy: MYCOLOGY Mycology I Fungi Eucaryotic Rigid cell wall(chitin, glucan) Cell membrane ergosterol Unicellular, multicellular Classic fungus taxonomy: Morphology Spore formation FFungi Yeast Mold Yeastlike

More information

Int.J.Curr.Microbiol.App.Sci (2016) 5(9):

Int.J.Curr.Microbiol.App.Sci (2016) 5(9): International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 5 Number 9 (2016) pp. 694-701 Journal homepage: http://www.ijcmas.com Original Research Article http://dx.doi.org/10.20546/ijcmas.2016.509.080

More information

A class IIa medical device intended for mild-to-moderate fungal nail infection PRODUCT MONOGRAPH

A class IIa medical device intended for mild-to-moderate fungal nail infection PRODUCT MONOGRAPH A class IIa medical device intended for mild-to-moderate fungal nail infection PRODUCT MONOGRAPH AWB-2052628721 Date of Preparation March 2017 Introduction to Bayer Bayer is a Life Science company with

More information

The MALDI Biotyper An In Vitro Diagnostic System (IVD) for Identification of Bacteria and Yeasts with a Global Reach

The MALDI Biotyper An In Vitro Diagnostic System (IVD) for Identification of Bacteria and Yeasts with a Global Reach The MALDI Biotyper An In Vitro Diagnostic (IVD) for Identification of Bacteria and Yeasts with a Global Reach The MALDI Biotyper identifies microorganisms using MALDI-TOF (Matrix Assisted Laser Desorption

More information

Bloodborne Pathogens. Introduction to Fungi. Next >> COURSE 2 MODULE 4

Bloodborne Pathogens. Introduction to Fungi. Next >> COURSE 2 MODULE 4 Bloodborne Pathogens COURSE 2 MODULE 4 to is a general term used to encompass the diverse morphologic forms of yeasts and molds. Originally classified as primitive plants without chlorophyll, the fungi

More information

Identification of Yeasts. Medical Mycology Training Network 15 November 2018 Dr Tan Ai Ling Department of Microbiology, Singapore General Hospital

Identification of Yeasts. Medical Mycology Training Network 15 November 2018 Dr Tan Ai Ling Department of Microbiology, Singapore General Hospital Identification of Yeasts Medical Mycology Training Network 15 November 2018 Dr Tan Ai Ling Department of Microbiology, Singapore General Hospital Definition of Yeasts Eukaryote cells have defined nucleus

More information

Histopathology Description:

Histopathology Description: 2013-2-1 CANINE HEART Ahmed M. Abubakar BOVINE PATHOLOGY CONTRIBUTING INSTITUTION : The Royal Veterinary college, Dept. of Pathology and Biology Signalment: 11-month-old male Border Collie dog (Canis familiaris)

More information

Overview of Microbiology. James D. Dick, PhD Johns Hopkins University

Overview of Microbiology. James D. Dick, PhD Johns Hopkins University This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike License. Your use of this material constitutes acceptance of that license and the conditions of use of materials on this

More information

on November 3, 2018 by guest

on November 3, 2018 by guest JOURNAL OF CLINICAL MICROBIOLOGY, June 2007, p. 1811 1820 Vol. 45, No. 6 0095-1137/07/$08.00 0 doi:10.1128/jcm.00134-07 Copyright 2007, American Society for Microbiology. All Rights Reserved. Multicenter

More information

Mycology. BioV 400. Subcutaneous Mycoses. Ecological associations. Geographic distribution World-wide

Mycology. BioV 400. Subcutaneous Mycoses. Ecological associations. Geographic distribution World-wide BioV 400 Mycology Handout 8 Subcutaneous Mycoses Lymphocutaneous sporotrichosis Chromoblastomycosis Phaeohyphomycosis Zygomycosis Mycetoma Lymphocutaneous sporotrichosis Sporothrix schenckii Chronic infection

More information

, Aspergillus A. terreus. 4 Candida albicans. 2 Otomycosis. , Histoplasmosis Paracoccidiomycosis

, Aspergillus A. terreus. 4 Candida albicans. 2 Otomycosis. , Histoplasmosis Paracoccidiomycosis Jpn. J. Med. Mycol. Vol. 44, 277 283, 2003 ISSN 0916 4804 1 2 2 1 2, Aspergillus A. terreus, A. flavus, A. niger, Candida,. A. terreus,, CT, fungus ball, drainage,, Key words: otolaryngologic mycosis,

More information

ISHAM Symposium: S33: Ocular aspects of Fungal Infections Friday, 8 May 2015, ; MR101/102 Level 1

ISHAM Symposium: S33: Ocular aspects of Fungal Infections Friday, 8 May 2015, ; MR101/102 Level 1 ISHAM Symposium: S33: Ocular aspects of Fungal Infections Friday, 8 May 2015, 14.15 15.45; MR101/102 Level 1 Chairs: Ariya Chindamporn, TH and Phillip A Thomas, IN 14:15-14:35 AGENDA Clinical overview

More information

Antifungal Susceptibility Testing

Antifungal Susceptibility Testing Infect Dis Clin N Am 20 (2006) 699 709 Antifungal Susceptibility Testing Annette W. Fothergill, MA, MBA, MT(ASCP), CLS(NCA) a, Michael G. Rinaldi, PhD a,b, Deanna A. Sutton, PhD, MT, SM(ASCP), SM, RM(NRM)

More information

1. Multiple choice (30 2 each); circle the number of the correct choice. b. Trichophyton schoenleinii is traditionally most associated with

1. Multiple choice (30 2 each); circle the number of the correct choice. b. Trichophyton schoenleinii is traditionally most associated with NAME SS# EXAM 2 March 26, 2002 BIO 329 Directions: All explanations, definitions, and descriptions should be presented in good English This means complete sentences should be used except when lists or

More information

Ramanath Karicheri 1, Beena Antony 2* Original Research Article. Abstract

Ramanath Karicheri 1, Beena Antony 2* Original Research Article. Abstract Original Research Article Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF MS) for the proteomic based identification of Aggregatibacter actinomycetemcomitans isolated

More information

Rapid Detection and Identification of Candidemia by Direct Blood Culturing on Solid

Rapid Detection and Identification of Candidemia by Direct Blood Culturing on Solid JCM Accepted Manuscript Posted Online 19 October 2016 J. Clin. Microbiol. doi:10.1128/jcm.01787-16 Copyright 2016 American Society for Microbiology. 1 2 Rapid Detection and Identification of Candidemia

More information

VPM 201: Veterinary Bacteriology and Mycology 23-24/11/2011 LABORATORY 11: MYCOLOGY

VPM 201: Veterinary Bacteriology and Mycology 23-24/11/2011 LABORATORY 11: MYCOLOGY VPM 201: Veterinary Bacteriology and Mycology 23-24/11/2011 LABORATORY 11: MYCOLOGY I. Overview of Major Groups of Pathogenic Fungi. Although the Kingdom Fungi have been undergoing considerable phylogenetic

More information

In Vitro Studies with R 51,211 (Itraconazole)

In Vitro Studies with R 51,211 (Itraconazole) ANTIMICROBIAL AGENTS AND CHEMOTHERAPY, JUIY 1984, p. 5-9 Vol. 26, No. 1 0066-4804/84/070005-05$02.00/0 Copyright 1984, American Society for Microbiology In Vitro Studies with R 51,211 (Itraconazole) ANA

More information

FUNGAL INFECTIONS AMONG DIABETIC FOOT ULCER- PATIENTS ATTENDING DIABETIC CLINIC IN KENYATTA NATIONAL HOSPITAL, KENYA

FUNGAL INFECTIONS AMONG DIABETIC FOOT ULCER- PATIENTS ATTENDING DIABETIC CLINIC IN KENYATTA NATIONAL HOSPITAL, KENYA January 2011 Ea s t Af r i c a n Me d i c a l Jo u r n a l 9 East African Medical Journal Vol. 88 No. 1 January 2011 FUNGAL INFECTIONS AMONG DIABETIC FOOT ULCER- PATIENTS ATTENDING DIABETIC CLINIC IN KENYATTA

More information

Antifungal Properties of Cranberry Juice

Antifungal Properties of Cranberry Juice APPLIED MICROBIOLOGY, OCt. 1968, p. 1524-1527 Copyright @ 1968 American Society for Microbiology Vol. 16, No. 10 Printed in U.S.A. Antifungal Properties of Cranberry Juice JACOB H. SWARTZ AND THEODORE

More information

THE USE OF DNA TESTING IN MOULD INVESTIGATIONS ANN DORTE PØRNEKI, M.SC.

THE USE OF DNA TESTING IN MOULD INVESTIGATIONS ANN DORTE PØRNEKI, M.SC. THE USE OF DNA TESTING IN MOULD INVESTIGATIONS ANN DORTE PØRNEKI, M.SC. ADP@HOUSETEST.COM EXPERIENCES FROM SCANDINAVIA Many years with strict insulation requirements Increase in number of damp and mouldy

More information

Laboratory Identification of Leptotrichia Species Isolated From Bacteremia Patients at a Single Institution

Laboratory Identification of Leptotrichia Species Isolated From Bacteremia Patients at a Single Institution Brief Communication Clinical Microbiology Ann Lab Med 2017;37:272-276 https://doi.org/10.3343/alm.2017.37.3.272 ISSN 2234-3806 eissn 2234-3814 Laboratory Identification of Leptotrichia Species Isolated

More information

MALDI Sepsityper Kit

MALDI Sepsityper Kit Instructions for Use MALDI Sepsityper Kit Kit for identification of microorganisms from positive blood cultures using the MALDI Biotyper system CARE products are designed to support our worldwide customers

More information

Trichophyton Microsporum Epidermophyton. dermatomycosis. Dematiaceous(pigmented fungi ) Dimorphic fungi Yeast and yeast like saprophyte

Trichophyton Microsporum Epidermophyton. dermatomycosis. Dematiaceous(pigmented fungi ) Dimorphic fungi Yeast and yeast like saprophyte Cutaneous candidiasis dermatophytosis Trichophyton Microsporum Epidermophyton dermatomycosis Dematiaceous(pigmented fungi ) Dimorphic fungi Yeast and yeast like saprophyte dermatomycosis Yeast & yeast

More information

UK Standards for Microbiology Investigations

UK Standards for Microbiology Investigations UK Standards for Microbiology Investigations Investigation of Dermatological Specimens for Superficial Mycoses Issued by the Standards Unit, Microbiology Services, PHE Bacteriology B 39 Issue no: 2.2 Issue

More information

Archives of Infect Diseases & Therapy, 2017

Archives of Infect Diseases & Therapy, 2017 Research Article Archives of Infectious Diseases & Therapy Antifungal sensitivity profile of Fusarium spp. resulting keratitits LSM Sigera 1, PI Jayasekera 1, ULF Shabry 1 and MAI Malkanthi 1 1 Dept. of

More information

TEPZZ Z9Z74_A_T EP A1 (19) (11) EP A1 (12) EUROPEAN PATENT APPLICATION

TEPZZ Z9Z74_A_T EP A1 (19) (11) EP A1 (12) EUROPEAN PATENT APPLICATION (19) TEPZZ Z9Z74_A_T (11) EP 3 090 741 A1 (12) EUROPEAN PATENT APPLICATION (43) Date of publication: 09.11.2016 Bulletin 2016/4 (21) Application number: 1642039.1 (1) Int Cl.: A61K 31/203 (2006.01) A61K

More information

ANA ESPINEL-INGROFF* Division of Infectious Diseases, Medical College of Virginia, Virginia Commonwealth University, Richmond, Virginia

ANA ESPINEL-INGROFF* Division of Infectious Diseases, Medical College of Virginia, Virginia Commonwealth University, Richmond, Virginia JOURNAL OF CLINICAL MICROBIOLOGY, Jan. 1998, p. 198 202 Vol. 36, No. 1 0095-1137/98/$04.00 0 Copyright 1998, American Society for Microbiology In Vitro Activity of the New Triazole Voriconazole (UK-109,496)

More information

Direct identification of bacteria from positive anaerobic BacT/Alert blood cultures by. Contents Category: Diagnostics, typing and identification

Direct identification of bacteria from positive anaerobic BacT/Alert blood cultures by. Contents Category: Diagnostics, typing and identification 1 2 3 Direct identification of bacteria from positive anaerobic BacT/Alert blood cultures by MALDI-TOF MS: MALDI Sepsityper kit (Bruker) versus in-house saponin method for bacterial extraction 4 5 Running

More information

Food Category. Aspergillus flavus, Penicillium roqueforti, Wallemia sebi

Food Category. Aspergillus flavus, Penicillium roqueforti, Wallemia sebi Table S1. Human pathogenic filamentous fungi recorded from food. Names that are currently invalid but found in the literature are placed in square brackets for reference. Food Category Fungi Baked Goods

More information

Introduction: PCR Air Sampling: November 12, Carrie E Tompkins Elementary School PCR Fungi Study:

Introduction: PCR Air Sampling: November 12, Carrie E Tompkins Elementary School PCR Fungi Study: 23 STATE STREET OSSINING, NEW YORK 10562 TEL.: (914) 762-6333 FAX: (914) 762-5578 W W W. E M S O F N Y. C O M November 12, 2014 Environmental Science Safety Engineering Industrial Hygiene Environmental

More information

Evaluation of an alternative slide culture technique for the morphological identification of fungal species

Evaluation of an alternative slide culture technique for the morphological identification of fungal species Research Article Evaluation of an alternative slide culture technique for the morphological identification of fungal species Abstract M H Wijedasa 1, L V C Liyanapathirana 1. Sri Lanka Journal of Infectious

More information

Medical Microbiology, University Hospital of Liège, Liège, Belgium

Medical Microbiology, University Hospital of Liège, Liège, Belgium Journal of Medical Microbiology (2012), 61, 1511 1516 DOI 10.1099/jmm.0.044750-0 Direct identification of bacteria from BacT/ALERT anaerobic positive blood cultures by MALDI-TOF MS: MALDI Sepsityper kit

More information

Appropriate utilization of the microbiology laboratory. 11 April 2013

Appropriate utilization of the microbiology laboratory. 11 April 2013 Appropriate utilization of the microbiology laboratory 11 April 2013 Lecture Plan Revision of infectious disease Triad of infectious disease Interaction between host and infectious agent Pathogenesis Phases

More information

Dermatophytes Dr. Hala Al Daghistani

Dermatophytes Dr. Hala Al Daghistani Dermatophytes Dr. Hala Al Daghistani Dermatophytoses are superficial infections of the skin and its appendages, commonly known as ringworm, athlete s foot, and jock itch. They are caused by species of

More information

Rapid identification and resistance assessment: The future is mass spectrometry

Rapid identification and resistance assessment: The future is mass spectrometry Rapid identification and resistance assessment: The future is mass spectrometry Dr Sanmarié Schlebusch Director of Microbiology Mater Pathology Brisbane Outline Introduction Plug and play Pre-prep and

More information

Medical Mycology. Dr. Hala Al Daghistani

Medical Mycology. Dr. Hala Al Daghistani Medical Mycology Dr. Hala Al Daghistani Mycotic Infections GENERAL CONCEPTS A. The fungi represent a diverse, heterogeneous group of eukaryotic B. Most of these organisms are plant pathogens and relatively

More information

Malaysian Journal of Microbiology

Malaysian Journal of Microbiology Malaysian Journal of Microbiology, Vol 11(1) 2015, pp. 54-69 Malaysian Journal of Microbiology Published by Malaysian Society of Microbiology (In since 2011) Does competition for existence pushed the evolution

More information

Comparative study of MALDI-TOF MS and VITEK 2 in bacteria identification

Comparative study of MALDI-TOF MS and VITEK 2 in bacteria identification MALDI-TOF MS in Clinical Microbiology Comparative study of MALDI-TOF MS and VITEK 2 in bacteria identification Ling Guo, Liyan Ye, Qiang Zhao, Yanning Ma, Jiyong Yang, Yanping Luo Department of Microbiology,

More information

SEASONAL VARIATION. Determination of the periodic composition of the leaf surface mycojlora.

SEASONAL VARIATION. Determination of the periodic composition of the leaf surface mycojlora. SEASONAL VARIATION Determination of the periodic composition of the leaf surface mycojlora. Raipur city is the capital of Chhattisgarh. Its cardinal points 21-140 Nand 82o-38 E. In the present investigation,

More information

INVESTIGATION OF DERMATOLOGICAL SPECIMENS FOR SUPERFICIAL MYCOSES

INVESTIGATION OF DERMATOLOGICAL SPECIMENS FOR SUPERFICIAL MYCOSES NATIONAL STANDARD METHOD INVESTIGATION OF DERMATOLOGICAL SPECIMENS FOR SUPERFICIAL MYCOSES BSOP 39 Issued by Standards Unit, Evaluations and Standards Laboratory Centre for Infections FOR BM M S MEDICAL

More information

MYCOTAXON CONSULTING LTD. 3 Rockwood Ave. Halifax, Nova Scotia Canada B3N 1X4 Phone: Fax:

MYCOTAXON CONSULTING LTD. 3 Rockwood Ave. Halifax, Nova Scotia Canada B3N 1X4 Phone: Fax: MYCOTAXON CONSULTING LTD. 3 Rockwood Ave. Halifax, Nova Scotia Canada B3N 1X4 Phone: 902-475-1456 Fax: 902-475-1982 Ms. Joan Moore Eastern School District 234 Shakespeare Dr. Stratford, Prince Edward Island

More information

Brief Communication Clinical Microbiology

Brief Communication Clinical Microbiology Brief Communication Clinical Microbiology Ann Lab Med 2017;37:531-535 https://doi.org/10.3343/alm.2017.37.6.531 ISSN 2234-3806 eissn 2234-3814 Comparison of a New Matrix-Assisted Laser Desorption/Ionization

More information

J of Evolution of Med and Dent Sci/ eissn , pissn / Vol. 3/ Issue 29/July 21, 2014 Page 8263

J of Evolution of Med and Dent Sci/ eissn , pissn / Vol. 3/ Issue 29/July 21, 2014 Page 8263 CLINICO-MYCOLOGICAL PROFILE OF DERMATOPHYTOSIS IN PATIENTS ATTENDING A TERTIARY CARE HOSPITAL IN EASTERN BIHAR, INDIA Partha Pratim Maity 1, Krishan Nandan 2, Sangeeta Dey 3 HOW TO CITE THIS ARTICLE: Partha

More information

MALDI-TOF mass spectrometry for direct bacterial identification

MALDI-TOF mass spectrometry for direct bacterial identification JCM Accepts, published online ahead of print on 17 February 2010 J. Clin. Microbiol. doi:10.1128/jcm.01780-09 Copyright 2010, American Society for Microbiology and/or the Listed Authors/Institutions. All

More information

ARTICLE IN PRESS. Enferm Infecc Microbiol Clin. 2013;xxx(xx):xxx xxx.

ARTICLE IN PRESS. Enferm Infecc Microbiol Clin. 2013;xxx(xx):xxx xxx. Enferm Infecc Microbiol Clin. 2013;xxx(xx):xxx xxx www.elsevier.es/eimc Original article The use of MALDI-TOF ICMS as an alternative tool for Trichophyton rubrum identification and typing Leonel Pereira,

More information

Identification of Mycoplasma spp. using MALDI-TOF Mass Spectrometry. Aric McDaniel

Identification of Mycoplasma spp. using MALDI-TOF Mass Spectrometry. Aric McDaniel Identification of Mycoplasma spp. using MALDI-TOF Mass Spectrometry Aric McDaniel Outline Background Information Introduction Methods Results Conclusion Next Steps Mycoplasma spp. Lack a cell wall Among

More information

Tween 40-based precipitate production observed on modified chromogenic agar and development of biological identification kit for Malassezia species

Tween 40-based precipitate production observed on modified chromogenic agar and development of biological identification kit for Malassezia species Medical Mycology May 2006, 44, 227231 Tween 40-based precipitate production observed on modified chromogenic agar and development of biological identification kit for Malassezia species TAKAMASA KANEKO*$,

More information

Bureau of Laboratory Quality Standards Page 1 of 21

Bureau of Laboratory Quality Standards Page 1 of 21 Central Laboratory and Bacteriology Laboratory 1. Pus, CSF, Sputum, Body fluids, Tissue Gram s stain 2. Pus, CSF, Sputum, Body fluids, Tissue 3. Pus, CSF, Sputum, Blood, Body fluids, Tissue, Urine, Feces,

More information

Mycological Profile of Bronchial Wash Specimens in Patients with Lower Respiratory Tract Infections

Mycological Profile of Bronchial Wash Specimens in Patients with Lower Respiratory Tract Infections International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 6 Number 11 (2017) pp. 176-182 Journal homepage: http://www.ijcmas.com Original Research Article https://doi.org/10.20546/ijcmas.2017.611.022

More information

1* 1. Vijaya S. Rajmane, Shivaji T. Mohite

1* 1. Vijaya S. Rajmane, Shivaji T. Mohite ISSN 2231-4261 ORIGINAL ARTICLE Comparison of the VITEK 2 Yeast Antifungal Susceptibility ing with CLSI Broth Microdilution Reference for ing Four Antifungal Drugs against Candida species Isolated from

More information

SCIENCE CHINA Life Sciences

SCIENCE CHINA Life Sciences SCIENCE CHINA Life Sciences SPECIAL TOPIC January 2011 Vol.54 No.1: 48 53 RESEARCH PAPERS doi: 10.1007/s11427-010-4119-9 Whole-cell matrix-assisted laser desorption/ionization time-offlight mass spectrometry

More information

Epidemiology and ecology of fungal diseases

Epidemiology and ecology of fungal diseases Epidemiology and ecology of fungal diseases Healthcare Focus on: - individual - diagnosis - treatment Public Health Focus on: - population - prevention The nature of fungi Kingdom Fungi (lat. fungus, -i)

More information

MONTGOMERY COUNTY COMMUNITY COLLEGE BIO 140 MYCOLOGY OUTLINE. 1. Type of cell. 2. Fungi may be unicellular or multicellular

MONTGOMERY COUNTY COMMUNITY COLLEGE BIO 140 MYCOLOGY OUTLINE. 1. Type of cell. 2. Fungi may be unicellular or multicellular MONTGOMERY COUNTY COMMUNITY COLLEGE BIO 140 MYCOLOGY OUTLINE I. INTRODUCTION TO THE KINGDOM FUNGI DOMAIN EUKARYA A. General Characteristics 1. Type of cell 2. Fungi may be unicellular or multicellular

More information

FIS 2014 Abstracts Mycology. Poster No 0097

FIS 2014 Abstracts Mycology. Poster No 0097 Poster No 0097 B39: Investigation of dermatological specimens for superficial mycoses Ijeoma Ezeajughi, Ayuen Lual, Ruhi Siddiqui, Clare Harris Public Health England, London, UK The term superficial mycoses'

More information

New insights in the diagnosis of Candida infections

New insights in the diagnosis of Candida infections New insights in the diagnosis of Candida infections Maurizio Sanguinetti Institute of Microbiology Fondazione Policlinico Universitario «A. Gemelli» - Rome - Italy Improving microbiology diagnostic methods

More information

BIODIVERSITY AND CONCENTRATION OF AIRBORNE FUNGI IN CHICKEN HOUSE

BIODIVERSITY AND CONCENTRATION OF AIRBORNE FUNGI IN CHICKEN HOUSE 564 BIODIVERSITY AND CONCENTRATION OF AIRBORNE FUNGI IN CHICKEN HOUSE Wang, Y. 1, Lu, G. 1, Zhang, X. 2, Ma, R. 3 and Chai, T. 2 * 1 College of life Science, Dalian Nationalities University, Dalian 116600,

More information

Epidemiology and Laboratory Diagnosis of Fungal Diseases

Epidemiology and Laboratory Diagnosis of Fungal Diseases Medical Mycology (BIOL 4849) Summer 2007 Dr. Cooper Epidemiology of Mycoses Epidemiology and Laboratory Diagnosis of Fungal Diseases Mycosis (pl., mycoses) - an infection caused by a fungus Two broad categories

More information

Evaluation of in Vitro Antifungal Activity of Ketoconazole and Griseofulvin

Evaluation of in Vitro Antifungal Activity of Ketoconazole and Griseofulvin Evaluation of in Vitro Antifungal Activity of Ketoconazole and Griseofulvin Abstract Pages with reference to book, From 230 To 234 Taj B. Uppal ( Department of Pathology Khyber Medical College, Peshawar.

More information

MARGARET V. POWERS-FLETCHER, 1 BRIAN A. KENDALL, 1,2 ALLEN T. GRIFFIN, 3 and KIMBERLY E. HANSON 1,2 1

MARGARET V. POWERS-FLETCHER, 1 BRIAN A. KENDALL, 1,2 ALLEN T. GRIFFIN, 3 and KIMBERLY E. HANSON 1,2 1 MARGARET V. POWERS-FLETCHER, 1 BRIAN A. KENDALL, 1,2 ALLEN T. GRIFFIN, 3 and KIMBERLY E. HANSON 1,2 1 Department of Pathology; 2 Department of Medicine, University of Utah School of Medicine, Salt Lake

More information