Skip to main content

ORIGINAL RESEARCH article

Front. Microbiol., 08 July 2015
Sec. Infectious Agents and Disease
This article is part of the Research Topic Development of new diagnostic techniques, treatment approaches and control of cure of infectious diseases View all 8 articles

Evaluation of the matrix-assisted laser desorption/ionization time-of-flight mass spectrometry Bruker Biotyper for identification of Penicillium marneffei, Paecilomyces species, Fusarium solani, Rhizopus species, and Pseudallescheria boydii

\r\nYing-Sheng ChenYing-Sheng Chen1Yen-Hung Liu,Yen-Hung Liu1,2Shih-Hua TengShih-Hua Teng3Chun-Hsing LiaoChun-Hsing Liao4Chien-Ching HungChien-Ching Hung5Wang-Huei ShengWang-Huei Sheng5Lee-Jene Teng,Lee-Jene Teng6,7Po-Ren Hsueh,*Po-Ren Hsueh5,6*
  • 1Division of Infectious Diseases, Department of Internal Medicine, Cardinal Tien Hospital, New Taipei City, Taiwan
  • 2Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan
  • 3Department of Graduate Institute of Biomedical Sciences, Chang Gung University, Tao-Yuan, Taiwan
  • 4Department of Internal Medicine, Far Eastern Memorial Hospital, Taipei, Taiwan
  • 5Department of Internal Medicine, National Taiwan University Hospital, National Taiwan University College of Medicine, Taipei, Taiwan
  • 6Department of Laboratory Medicine, National Taiwan University Hospital, National Taiwan University College of Medicine, Taipei, Taiwan
  • 7Department and Graduate Institute of Clinical Laboratory Sciences and Medical Biotechnology, National Taiwan University, Taipei, Taiwan

We evaluated the performance of matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS), the MALDI Bruker Biotyper system (microflex LT; Bruker Daltonik GmbH, Bremen, Germany), on the identification of 50 isolates of clinically encountered molds, including Penicillium marneffei (n = 28), Paecilomyces species (n = 12), Fusarium solani (n = 6), Rhizopus species (n = 3), and Pseudallescheria boydii (n = 1). The isolates were identified to species levels by sequence analysis of the internal transcribed spacer (ITS) regions using primers ITS1 and ITS4. None of the 28 genetically well characterized isolates of P. marneffei were identified as P. marneffei by MALDI-TOF MS, because P. marneffei was not present in either Bruker general library (DB 5627) or Bruker filamentous fungi library V1.0. However, the rate of accurate identification as P. marneffei (score value ≥ 2.000) was 85.7% based on newly created database from one P. marneffei strain (NTUH-3370) by MALDI Biotyper system. Sequencing analysis of these 22 non-P. marneffei isolates of molds revealed seven Paecilomyces variotii, six F. solani, four Paecilomyces lilacinus, and one each of Paecilomyces sinensis, Rhizopus arrhizus, R. oryzae, R. microspores, and P. boydii. Although all the seven P. variotii isolates, four of the six F. solani, two of the four P. lilacinus, and two of the three isolates of Rhizopus species, and the P. boydii isolate had concordant identification results between MALDI-TOF MS and sequencing analysis, the score values of these isolates were all of <1.700. This study indicated that the MALDI Bruker Biotyper is ineffective for identifying P. marneffei and other unusual molds because of the current database limitations. Therefore, it is necessary to continuously update the MALDI-TOF MS databases.

Introduction

Although invasive aspergillosis represents the most common opportunistic mold infection, less commonly encountered molds, such as Fusarium Paecilomyces, and Zygomycetes have increasingly been reported to cause invasive mold infections (Schalk et al., 2006; Malani and Kauffman, 2007; Hsiue et al., 2010b; Bassiri-Jahromi, 2014). Infections caused by non-Aspergillus molds are associated with a substantially worse outcome than invasive aspergillosis (Schalk et al., 2006; Malani and Kauffman, 2007; Hsiue et al., 2010b; Bassiri-Jahromi, 2014), which is most likely attributed both to the significant immunodeficient state of these patients and the intrinsically less susceptibility of these organisms to antifungal agents (Schalk et al., 2006; Malani and Kauffman, 2007; Hsiue et al., 2010b; Bassiri-Jahromi, 2014). Penicillium marneffei has become a well-recognized pathogen in humans and is an important emerging public health threat (Duong, 1996; Hsueh et al., 2000; Hung et al., 2012; Lee et al., 2012). Infection caused by this organism is frequently disseminated and is progressive in nature among immunocompromised hosts, particularly among patients with impaired cell-mediated immunity and human immunodeficiency virus (HIV) infection (Duong, 1996; Hsueh et al., 2000; Hung et al., 2012; Lee et al., 2012). A history of recent travel in Southeast Asia, the southern part of China, Thailand, Vietnam, or Indonesia is common among patients with P. marneffei infection outside Asia (Supparatpinyo et al., 1994; Larsson et al., 2012; Hu et al., 2013). Due to the life-threatening entity of infections caused by these non-Aspergillus molds, prompt diagnosis and appropriate antifungal treatments are crucial (Duong, 1996; Schalk et al., 2006; Malani and Kauffman, 2007; Hsiue et al., 2010b; Bassiri-Jahromi, 2014).

In clinical microbiology laboratories, mold identification largely based on the macroscopic and microscopic observation of colonies grown on mycological media culture of or direct examination of the organisms in the histopathological sections (Hsiue et al., 2010a; Cassagne et al., 2011; Chalupová et al., 2014). Adequate phenotypic identification of molds, especially non-Aspergillus molds, requires highly skilled mycologists, who are seldom found in clinical mycology laboratories (Cassagne et al., 2011). Furthermore, these methods are time-consuming and sometimes unreliable (Hsiue et al., 2010a; Cassagne et al., 2011; Chalupová et al., 2014). There have been a number of molecular methods to identify non-Aspergillus molds from various clinical specimens or directly identify these organisms in the infected tissue, however, these detection methods are usually available only in research laboratories (Hsiue et al., 2010a; Zhang et al., 2011).

The matrix-assisted laser desorption ionization–time of flight mass spectrometry (MALDI-TOF MS), which is now widely used in clinical microbiology laboratories, can rapidly and accurately identify different species of bacteria and fungi (Murray, 2010; Alanio et al., 2011; Putignani et al., 2011; Nenoff et al., 2013; Chao et al., 2014; Ling et al., 2014). However, species identification of these non-Aspergillus molds, particularly P. marneffei, using this method has seldom been reported (Marinach-Patrice et al., 2009; Santos et al., 2009; De Carolis et al., 2012; Del Chierico et al., 2012; Barker et al., 2014; Triest et al., 2015). In this study, we evaluated the performance of MALDI-TOF MS for the identification of clinical isolates of non-Aspergillus molds, especially P. marneffei that were confirmed to the species levels by using sequencing analysis methods.

Materials and Methods

Fungal Isolates

Twenty-eight preserved non-duplicate isolates of P. marneffei were recovered from various clinical specimens from 28 patients who were treated at National Taiwan University Hospital (NTUH), a 2900-bed teaching hospital in northern Taiwan, from January 2000 through December 2012 (Table 1). Among these patients, 18 had AIDS and three (two in Thailand and one in Myanmar) acquired P. marneffei infection outside Taiwan. Clinical specimens for isolation were inoculated onto Sabouraud dextrose agar (Becton Dickinson Microbiology Systems, Sparks, MD, USA) and incubated at 25°C in ambient air. These isolates were identified as P. marneffei using conventional methods.

TABLE 1
www.frontiersin.org

TABLE 1. Comparison of the Bruker Biotyper MALDI TOF MS system with that of molecular method in identifying 28 isolates of Penicillium marneffei.

The other 22 isolates of non- P. marneffei isolates of molds were recovered from various clinical specimens of 22 patients who were treated at the hospital from 2010 to 2012 (Hsiue et al., 2010b). Among these isolates, six were initially identified by phenotypic methods as F. solani, four were Paecilomyces lilacinus, five were Paecilomyces variotii, three were Rhizopus sp., two were Talaromyces spectabilis, and one each of Paecilomyces sinensis and Pseudallescheria boydii.

Identification by Gene Sequencing Analysis

The isolates were further identified by sequence comparison analysis of the internal transcribed spacer (ITS) regions using primers ITS1 and ITS4 as previously described (Hsiue et al., 2010a,b).

Identification by MALDI-TOF MS

For performance of MALDI-TOF MS system, the MALDI Biotyper system (microflex LT; Bruker Daltonik GmbH, Bremen, Germany) was used (Chao et al., 2014). A loopful of mycelial colonies from Sabouraud dextrose agar medium was transferred to into a 1.5-ml microtube containing 300 μl of pure water and then added 900 μl of pure ethanol. The suspension was pelleted after centrifugation at 12,000 rpm for 2 min. The supernatant was discarded and 1 ml of 75% ethanol was added, centrifuged after 12,000 rpm for 2 min, and the supernatant was discarded. The pellet was dried for 1 h. The sample was then subjected to a standard ethanol–formic acid extraction procedure. A volume of 1.0 μl of the supernatant was applied to a 96-spot polished steel target (Bruker Daltonik GmbH, Bremen, Germany) plate and dried. A saturated solution of 1.0 μl of MALDI matrix (HCCA; Bruker Daltonik) was applied to each sample and dried. Measurements were performed with Bruker MicroflexTM LT MALDI-TOF MS (Bruker Daltonik GmbH) using FlexControlTM software with CompassFlex Series version 1.3 software and a 60 Hz nitrogen laser (337 nm wavelength). Spectra were collected in the linear positive mode in a mass range covering 1,960–20,132 m/z. Spectra ranging from the mass-to-charge ratio (m/z) 2,000–20,000 were analyzed using MALDI Biotyper automation control and the Bruker Biotyper 3.1 software and Bruker general library (DB 5627) and Bruker filamentous fungi library V1.0. (Bruker Daltonics). Identification scores of ≥2.000 indicated species-level identification, scores of 1.700–1.999 indicated genus-level identification, and scores of <1.700 indicated no identification (Chao et al., 2014). The criteria of identification using standard cut-off value of 2.0 and a lowered cut-off value of 1.4 were also evaluated (Triest et al., 2015).

The principal component analysis (PCA) dendrogram generated by MALDI Biotyper mass spectra obtained from the MALDI Biotyper data of the 28 P. marneffei isolates was also performed (Chen et al., 2014).

Results

Fungal Isolates

After 3 days of incubation, the P. marneffei isolates grew as mold, with a soluble red pigment diffusing into the agar. The reverse side was red or pink. When seen through a microscope, the isolates had typical features of Penicillium species. Colonies were sub-cultured onto brain-heart infusion agar slants (Becton Dickinson Microbiology Systems) and were incubated at 37°C for 3 days to yield the yeast phase. P. marneffei yeast cells appeared tubular or oblong, and some had a cross-septum (Hsueh et al., 2000). All the 28 isolates were confirmed as P. marneffei (identity 99.6–100%) with accession number of AB363755.1 (Table 1).

Among these 22 non-P. marneffei isolates of molds, using sequencing analysis, seven were P. variotii, six were confirmed as F. solani, four were P. lilacinus, and one each of P. sinensis, Rhizopus arrhizus, R. oryzae, R. microspores, and P. boydii (Table 2).

TABLE 2
www.frontiersin.org

TABLE 2. Comparison of identification results by the MALDI Biotyper system with those of molecular method in identifying 22 non-P. marneffei isolates of molds.

Identification by MALDI-TOF for P. marneffei

None of the 28 isolates were identified as P. marneffei by MALDI biotyper system, because P. marneffei was not present in either Bruker general library (DB 5627) or Bruker filamentous fungi library V1.0 (Table 1). There are also no reliable identification results to genus level for all the 28 genetically well characterized P. marneffei isolates.

The PCA dendrogram generated by MALDI Biotyper mass spectra obtained from the MALDI Biotyper data of the 28 P. marneffei isolates is shown in Figure 1. Four cluster groups (I, II, III, and IV) with a default critical distance level of 850 were identified in 27 of the 28 isolates (Figure 1; Table 1).

FIGURE 1
www.frontiersin.org

FIGURE 1. Principal component analysis (PCA) dendrogram generated by MALDI Biotyper mass spectra for 28 genetically well characterized isolates of Penicilliun marneffei. The arrow indicates the NTUH-3370 isolate. The dendrogram obtained from the MALDI Biotyper data of 25 isolates shows four cluster groups (I, II, III, and IV) with a default critical distance level of 850.

Database Creation by MALDI-TOF MS for P. marneffei

Because P. marneffei was not listed in MALDI Biotyper database, four isolates, NTUH-1124 (Isolate 4), NTUH-3370 (Isolate 8), NTUH-7204 (Isolate 12), and NTUH-9736 (Isolate 15) randomly selected from each cluster (I, III, II, and IV, respectively) of the 28 isolates of P. marneffei were subjected for database creation for P. marneffei. The eluent of each of the four well-prepared isolates was applied for eight spots on MALDI target. Each spot was performed data acquisition for four times. A total of 128 spectra were generated. After evaluation by signal resolution and mass accuracy of the 128 spectra, 27–31 of the 32 spectra from each of the four isolates (27 spectra in NTUH-1124, 29 in NTUH-3370, 28 in NTUH-7204, and 31 in NTUH-9736) were selected for MSP (Main Spectra Projection; database entrance) creation (Table 2). The MSP can be created by MALDI Biotyper (Bruker Daltonics) software. We then aimed at validate whether the database generated by the four strains could be used for identification of P. marneffei. The database was blindly tested with the 28 P. marneffei isolates.

Verification of MALDI-TOF New Database of P. marneffei

The best identification score values was found according database created by NTUH-3370: 23 (82.1%) were identified as P. marneffei with identification score values of ≥2.000 (2.050–2.289) and the remaining five isolates (17.9%) with score values of 1.809–1.986 (Table 3). Twenty, 22, and 13 isolates were identified as P. marneffei with score values of ≥2.000 according to MSP made by NTUH-1124, NTUH-7204, and NTUH-9736, respectively. All except one (isolates NTUH-3937 by MSP made by NTUH-7204, score value of 1.525) the remaining isolates possessed identification score values of >1.700 based on MSP made by NTUH-1124, NTUH-7204, and NTUH-9736 (Table 3). These characteristic MALDI Biotyper spectra of NTUH-3370 isolate are shown in Figure 2.

TABLE 3
www.frontiersin.org

TABLE 3. Identification results of the 28 isolates of P. marneffei by MALDI Biotyper based on four newly created databases for P. marneffei.

FIGURE 2
www.frontiersin.org

FIGURE 2. Spectra of Penicilliun marneffei (NTUH-3370) generated by the MALDI-TOF Bruker Biotyper. The absolute intensities of the ions are shown on the y axis, and the masses (m/z) of the ions are shown on the x axis. The m/z values represent the mass-to-charge ratio.

Identification by MALDI-TOF for non-P. marneffei Isolates

Among these 22 non-P. marneffei isolates of molds, only one isolate of F. solani could be correctly identified by MALDI-TOF MS with score value of ≥2.0 (Table 2). Although all the seven P. variotii isolates, four of the six F. solani, two of the four P. lilacinus, and two of the three isolates of Rhizopus species, and the P. boydii isolate had concordant identification results between MALDI-TOF MS and sequencing analysis, all the score values of these isolates were of <1.700 (Table 2). Four of the seven P. variotii isolates, three of the six F. solani, the R. microspores isolate, and none of other molds tested could be correctly identified with lowering the cut-off value of 1.4. These characteristic MALDI Biotyper spectra of non-P. marneffei isolates are shown in Figure 3.

FIGURE 3
www.frontiersin.org

FIGURE 3. Spectra of Paecilomyces variotii, Fusarium solani, Paecilomyces lilacinus, Paecilomyces sinensis, Rhizopus arrhizus, Rhizopus oryzae, Rhizopus microspores, and Pseudallescheria boydii generated by the MALDI-TOF Bruker Biotyper. The absolute intensities of the ions are shown on the y axis, and the masses (m/z) of the ions are shown on the x axis. The m/z values represent the mass-to-charge ratio.

Discussion

MALDI-TOF MS is a newly developed diagnostic tool that is increasingly being employed to rapidly and accurately identify clinical relevant pathogenic yeasts and molds, including Aspergillus, Fusarium, Zygomyces, Paecilomyces, dematophytes, and other molds (16–27, Marinach-Patrice et al., 2009; Santos et al., 2009; Murray, 2010; Alanio et al., 2011; Putignani et al., 2011; De Carolis et al., 2012; Del Chierico et al., 2012; Nenoff et al., 2013; Barker et al., 2014; Chao et al., 2014; Ling et al., 2014; Triest et al., 2015). However, the performance of MALDI-TOF for identification of unusual or several endemic molds depends on the availability of the mold species in the database.

A study conducted by De Carolis et al. (2012) they evaluated the preexisting database of MALDI-TOF MS (MALDI Biotyper software 2.0) using 103 clinical mold isolates belonging to the 55 most clinically relevant species of Aspergillus (33 species), Fusarium (12 species), and Mucorales (10 species). Multilocus sequence analysis was used as a reference method for species designation. Excluding nine isolates that belong to the fungal species not included in our reference database, 91 (96.8%) of 94 isolates were identified by MALDI-TOF MS to the species level, in agreement with the results of the reference method and the three isolates were identified to the genus level. Recently, Triest et al. (2015) evaluated the performance of MALDI-TOF MS (MALDI Biotyper) for 268 genetically documented (multilocus sequence analysis) Fusarium species (19 species) and found that 82,8% of the identifications were correct up to species level according to well-defined identification criteria of score value of 2,0 using MALDI Biotyper 3.0 software (Bruker Daltonics). This success ratio could be increased up to 91% by lowering the cut-off value of 1.4 for acceptance of identification. However, among the 27 F. solani isolates studied, about half of the isolates were not corrected identified to species level (score values <2.0) and one-fourth of the isolates with score values <1.4. The low performance of identification of F. solani by MALDI-TOF MS was also noted in our study. Barker et al. (2014) evaluated the performance of MALDI-TOF MS for 77 genetically confirmed isolates of Paecilomyces species, the agreement was 92.2% between the molecular and proteomic methods only after supplementation of the MALDI-TOF MS database with type strains. They also indicated that P. variotii-like organisms required multilocus DNA interrogations for differentiation and accounted for all of the fungi whose identification was missed by MALDI-TOF MS. In a routine clinical laboratory activity (Cassagne et al., 2011), MALDI-TOF MS-based approach correctly identified 87% (154/177) of the mold isolates analyzed. The failure of identification (12%, 21/177) was found among those not represented in the reference library. In this study, one of the three R. oryzae isolates was misidentified as Mucor circinelloides.

The performance of identification of many mold genera such as Aspergillus, Fusarium, Penicillium, Hypocrea/Trichoderma, and some phytopathogens by MALDI-TOF MS was reviewed comprehensively by Chalupová et al. (2014). However, P. malneffei species have not been evaluated in these studies. In this study, using newly created database by MALDI Biotyper for NTUH-3370 strain, 85.7% of the 28 genetically well-documented P. marneffei isolates could be identified accurately to species-level. The remaining five isolates were also identified as P. marneffei although score values were >1.800 to <2.000.

Summary

Our findings show that new database created for P. marneffei MALDI Biotyper could be useful and accurately identify P. marneffei isolates, although the number of isolates used in the study was small and only collected mainly from Taiwan. This technique could be incorporated into the work flow of the clinical mycology laboratory for rapid and accurate identification of P. marneffei. A continuous updating of current commercial databases provided by MALDI-TOF MS vendors together with the instrumentation as well as building up new databases for specialized research purposes is needed. MALDI-TOF MS is suitable for the routine identification of filamentous fungi in a clinical microbiology laboratory.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

Alanio, A., Beretti, J. L., Dauphin, B., Mellado, E., Quesne, G., Lacroix, C., et al. (2011). Matrix-assisted laser desorption ionization time-of-flight mass spectrometry for fast and accurate identification of clinically relevant Aspergillus species. Clin. Microbiol. Infect. 17, 750–755. doi: 10.1111/j.1469-0691.2010.03323.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Barker, A. P., Horan, J. L., Slechta, E. S., Alexander, B. D., and Hanson, K. E. (2014). Complexities associated with the molecular and proteomic identification of Paecilomyces species in the clinical mycology laboratory. Med. Mycol. 52, 537–545. doi: 10.1093/mmy/myu001

CrossRef Full Text | Google Scholar

Bassiri-Jahromi, S. (2014). Cutaneous Paecilomyces lilacinus infections in immunocompromised and immunocompetent patients. Indian J. Dermatol. Venereol. Leprol. 80, 331–334. doi: 10.4103/0378-6323.136903

CrossRef Full Text | Google Scholar

Cassagne, C., Ranque, S., Normand, A. C., Fourquet, P., Thiebault, S., Planard, C., et al. (2011). Mould routine identification in the clinical laboratory by matrix-assisted laser desorption ionization time-of-flight mass spectrometry. PLoS ONE 6:e28425. doi: 10.1371/journal.pone.0028425

PubMed Abstract | CrossRef Full Text | Google Scholar

Chalupová, J., Raus, M., Sedlářová, M., and Sebela, M. (2014). Identification of fungal microorganisms by MALDI-TOF mass spectrometry. Biotechnol. Adv. 32, 230–241. doi: 10.1016/j.biotechadv.2013.11.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Chao, Q. T., Lee, T. F., Teng, S. H., Peng, L. Y., Chen, P. H., Teng, L. J., et al. (2014). Comparison of accuracy of two conventional phenotypic methods and two MALDI-TOF systems with that of DNA sequencing analysis for correctly identifying clinically encountered yeasts. PLoS ONE 9:e109376. doi: 10.1371/journal.pone.0109376

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, P. L., Lee, T. F., Wu, C. J., Teng, S. H., Teng, L. J., Ko, W. C., et al. (2014). Matrix-assisted laser desorption ionization-time of flight mass spectrometry can accurately differentiate Aeromonas dhakensis from A. hydrophila, A. caviae, and A. veronii. J. Clin. Microbiol. 52, 2625–2628. doi: 10.1128/JCM.01025-14

PubMed Abstract | CrossRef Full Text | Google Scholar

De Carolis, E., Posteraro, B., Lass-Flörl, C., Vella, A., Florio, A. R., Torelli, R., et al. (2012). Species identification of Aspergillus, Fusarium and Mucorales with direct surface analysis by matrix-assisted laser desorption ionization time-of-flight mass spectrometry. Clin. Microbiol. Infect. 18, 475–484. doi: 10.1111/j.1469-0691.2011.03599.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Del Chierico, F., Masotti, A., Onori, M., Fiscarelli, E., Mancinelli, L., Ricciotti, G., et al. (2012). MALDI-TOF MS proteomic phenotyping of filamentous and other fungi from clinical origin. J. Proteomics. 75, 3314–3330. doi: 10.1016/j.jprot.2012.03.048

PubMed Abstract | CrossRef Full Text | Google Scholar

Duong, T. A. (1996). Infection due to Penicillium marneffei, an emerging pathogen: review of 155 reported cases. Clin. Infect. Dis. 23, 125–130. doi: 10.1093/clinids/23.1.125

PubMed Abstract | CrossRef Full Text | Google Scholar

Hsiue, H. C., Huang, Y. T., Kuo, Y. L., Liao, C. H., Chang, T. C., and Hsueh, P. R. (2010a). Rapid identification of fungal pathogens in positive blood cultures using oligonucleotide array hybridization. Clin. Microbiol. Infect. 16, 493–500. doi: 10.1111/j.1469-0691.2009.02828.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Hsiue, H. C., Ruan, S. Y., Kuo, Y. L., Huang, Y. T., and Hsueh, P. R. (2010b). Invasive infections caused by non-Aspergillus moulds identified by sequencing analysis at a tertiary care hospital in Taiwan, 2000-2008. Clin. Microbiol. Infect. 16, 1204–1206. doi: 10.1111/j.1469-0691.2009.03103.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Hsueh, P. R., Teng, L. J., Hung, C. C., Hsu, J. H., Yang, P. C., Ho, S. W., et al. (2000). Molecular evidence for strain dissemination of Penicillium marneffei: an emerging pathogen in Taiwan. J. Infect. Dis. 181, 1706–1712. doi: 10.1086/315432

PubMed Abstract | CrossRef Full Text | Google Scholar

Hu, Y., Zhang, J., Li, X., Yang, Y., Zhang, Y., Ma, J., et al. (2013). Penicillium marneffei infection: an emerging disease in mainland China. Mycopathologia 175, 57–67. doi: 10.1007/s11046-012-9577-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Hung, C. C., Chang, S. Y., Sun, H. Y., and Hsueh, P. R. (2012). Cavitary pneumonia due to Penicillium marneffei in an HIV-infected patient. Am. J. Respir. Crit. Care. Med. 187, e3–e4. doi: 10.1164/rccm.201202-0321IM

PubMed Abstract | CrossRef Full Text | Google Scholar

Larsson, M., Nguyen, L. H., Wertheim, H. F., Dao, T. T., Taylor, W., Horby, P., et al. (2012). Clinical characteristics and outcome of Penicillium marneffei infection among HIV-infected patients in northern Vietnam. AIDS Res. Ther. 9, 24. doi: 10.1186/1742-6405-9-24

PubMed Abstract | CrossRef Full Text | Google Scholar

Lee, P. P., Chan, K. W., Lee, T. L., Ho, M. H., Chen, X. Y., Li, C. H., et al. (2012). Penicilliosis in children without HIV infection–are they immunodeficient? Clin. Infect. Dis. 54, e8–e19. doi: 10.1093/cid/cir754

PubMed Abstract | CrossRef Full Text | Google Scholar

Ling, H., Yuan, Z., Shen, J., Wang, Z., and Xua, Y. (2014). Accuracy of MALDI-TOF mass spectrometry for the identification of clinical pathogenic fungi: a meta-analysis. J. Clin. Microbiol. 52, 2573–2582. doi: 10.1128/JCM.00700-14

PubMed Abstract | CrossRef Full Text | Google Scholar

Malani, A. N., and Kauffman, C. A. (2007). Changing epidemiology of rare mould infections: implications for therapy. Drugs 67, 1803–1812. doi: 10.2165/00003495-200767130-00001

PubMed Abstract | CrossRef Full Text | Google Scholar

Marinach-Patrice, C., Lethuillier, A., Marly, A., Brossas, J. Y., Gené, J., Symoens, F., et al. (2009). Use of mass spectrometry to identify clinical Fusarium isolates. Clin. Microbiol. Infect. 15, 634–642. doi: 10.1111/j.1469-0691.2009.02758.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Murray, P. R. (2010). Matrix-assisted laser desorption ionization time-of-flight mass spectrometry: usefulness for taxonomy and epidemiology. Clin. Microbiol. Infect. 16, 1626–1630. doi: 10.1111/j.1469-0691.2010.03364.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Nenoff, P., Erhard, M., Simon, J. C., Muylowa, G. K., Herrmann, J., Rataj, W., et al. (2013). MALDI-TOF mass spectrometry- a rapid method for the identification of dermatophyte species. Med. Mycol. 51, 17–24. doi: 10.3109/13693786.2012.685186

PubMed Abstract | CrossRef Full Text | Google Scholar

Putignani, L., Del Chierico, F., Onori, M., Mancinelli, L., Argentieri, M., Bernaschi, P., et al. (2011). MALDI-TOF mass spectrometry proteomic phenotyping of clinically relevant fungi. Mol. Biosyst. 7, 620–629. doi: 10.1039/C0MB00138D

PubMed Abstract | CrossRef Full Text | Google Scholar

Santos, C., Paterson, R. R. M., Venǎncio, A., and Lima, N. (2009). Filamentous fungal characterizations by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. J. Appl. Microbiol. 108, 375–385. doi: 10.1111/j.1365-2672.2009.04448.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Schalk, E., Mohren, M., Jentsch-Ullrich, K., Dombrowski, F., Franke, A., and Koenigsmann, M. (2006). Zygomycoses in patients with acute leukaemia. Ann. Hematol. 85, 327–332. doi: 10.1007/s00277-006-0082-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Supparatpinyo, K., Khamwan, C., Baosoung, V., Nelson, K. E., and Sirisanthana, T. (1994). Disseminated Penicillium marneffei infection in southeast Asia. Lancet 344, 110–113. doi: 10.1016/S0140-6736(94)91287-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Triest, D., Stubbe, D., De Cremer, K., Piérard, D., Normand, A. C., Piarroux, R., et al. (2015). Use of matrix assisted laser desorption ionization time-of-flight mass spectrometry for identification of molds of the Fusarium Genus. J. Clin. Microbiol. 53, 465–476. doi: 10.1128/JCM.02213-14 [Epub ahead of print].

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, J. M., Sun, J. F., Feng, P. Y., Li, X. Q., Lu, C. M., Lu, S., et al. (2011). Rapid identification and characterization of Penicillium marneffei using multiplex ligation-dependent probe amplification (MLPA) in paraffin-embedded tissue samples. J. Microbiol. Methods. 85, 33–39. doi: 10.1016/j.mimet.2011.01.022

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: matrix-assisted laser desorption/ionization time-of-flight mass spectrometry, Penicillium marneffei, Paecilomyces species, Fusarium solani, Rhizopus species, Pseudallescheria boydii

Citation: Chen Y-S, Liu Y-H, Teng S-H, Liao C-H, Hung C-C, Sheng W-H, Teng L-J and Hsueh P-R (2015) Evaluation of the matrix-assisted laser desorption/ionization time-of-flight mass spectrometry Bruker Biotyper for identification of Penicillium marneffei, Paecilomyces species, Fusarium solani, Rhizopus species, and Pseudallescheria boydii. Front. Microbiol. 6:679. doi: 10.3389/fmicb.2015.00679

Received: 04 February 2015; Accepted: 22 June 2015;
Published: 08 July 2015.

Edited by:

Paulo Marcos Zech Coelho, Fundação Oswaldo Cruz, Brazil

Reviewed by:

Saara Vainio, St. Antonius Hospital, Netherlands
Mandy Sin, Stanford University, USA

Copyright © 2015 Chen, Liu, Teng, Liao, Hung, Sheng, Teng and Hsueh. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Po-Ren Hsueh, Departments of Internal Medicine and Laboratory Medicine, National Taiwan University Hospital, National Taiwan University College of Medicine, No. 7 Chung-Shan South Road, Taipei 100, Taiwan, hsporen@ntu.edu.tw

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.