Literature DB >> 27092108

Evaluation of the Bruker Biotyper Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry System for Identification of Clinical and Environmental Isolates of Burkholderia pseudomallei.

He Wang1, Ya-Lei Chen2, Shih-Hua Teng3, Zhi-Peng Xu1, Ying-Chun Xu1, Po-Ren Hsueh4.   

Abstract

Burkholderia pseudomallei is not represented in the current version of Bruker Biotyper matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) system. A total of 66 isolates of B. pseudomallei, including 30 clinical isolates collected from National Taiwan University Hospital (NTUH, n = 27) and Peking Union Medical College Hospital (PUMCH, n = 3), and 36 isolates of genetically confirmed strains, including 13 from clinical samples and 23 from environmental samples, collected from southern Taiwan were included in this study. All these isolates were identified by partial 16S rDNA gene sequencing analysis and the Bruker Biotyper MALDI-TOF MS system. Among the 30 isolates initially identified as B. pseudomallei by conventional identification methods, one was identified as B. cepacia complex (NTUH) and three were identified as B. putida (PUMCH) by partial 16S rDNA gene sequencing analysis and Bruker Biotyper MALDI-TOF MS system. The Bruker Biotyper MALDI-TOF MS system misidentified 62 genetically confirmed B. pseudomallei isolates as B. thailandensis or Burkholderia species (score values, 1.803-2.063) when the currently available database (DB 5627) was used. However, using a newly created MALDI-TOF MS database (including B. pseudomallei NTUH-3 strain), all isolates were correctly identified as B. pseudomallei (score values >2.000, 100%). An additional 60 isolates of genetically confirmed B. cepacia complex and B. putida were also evaluated by the Bruker Biotyper MALDI-TOF MS system using the newly created database and none of these isolates were identified as B. pseudomallei. MALDI-TOF MS is a versatile and robust tool for the rapid identification of B. pseudomallei using the enhanced database.

Entities:  

Keywords:  16S rDNA gene sequencing analysis; B. thailandensis; Burkholderia pseudomallei; enhanced database; laser desorption/ionization time-of-flight mass spectrometry; matrix-assisted

Year:  2016        PMID: 27092108      PMCID: PMC4824763          DOI: 10.3389/fmicb.2016.00415

Source DB:  PubMed          Journal:  Front Microbiol        ISSN: 1664-302X            Impact factor:   5.640


Introduction

Melioidosis is a tropical and subtropical infectious disease caused by Burkholderia pseudomallei, a Gram-negative, aerobic, motile rod-shaped bacterium that is widely distributed in rice field soil, and in stagnant water throughout the tropics (Hsueh et al., 2001; Currie et al., 2008; Lau et al., 2014). B. pseudomallei is also a major cause of community-acquired septicemia and pneumonia in adults in the Asia-pacific region, particularly in northeast Thailand (Peto et al., 2014). In Taiwan, the first case of melioidosis was reported in 1985 in a man who acquired the disease after aspirating river water in a near-drowning accident in the Philippines (Lee et al., 1985) Since then several sporadic and epidemic cases have been reported (Hsueh et al., 2001; Ko et al., 2007; Su et al., 2011; Chen et al., 2013, 2014). Previous studies clearly showed that the disease was endemic in Taiwan and demonstrated that all clinical isolates were arabinose non-assimilators (Hsueh et al., 2001; Chen et al., 2013). Other studies have reported high concentrations of ambient B. pseudomallei during typhoon season in regions of Taiwan (Ko et al., 2007; Su et al., 2011; Chen et al., 2014). Several typhoon-related melioidosis epidemics have also been reported (Ko et al., 2007; Su et al., 2011). There is also evidence that melioidosis can be transmitted to humans via environmental aerosols contaminated with B. pseudomallei (Chen P. S. et al., 2015). In Mainland China, melioidosis was first reported in 1990 (Yang, 2000) and is now known to be endemic to several tropical provinces, including Hainan, Guangdong, and Guangxi (Chen H. et al., 2015; Fang et al., 2015; Zheng et al., 2015). Multilocus sequence typing (MLST) disclosed that B. pseudomallei ST562 is dominant in southern China as well as in Australia and Taiwan and that its wide-ranging presence might be due to recent spread caused by transmission between regions (Chen H. et al., 2015). Whole-genome sequencing of B. pseudomallei has been conducted for isolates obtained from patients with melioidosis in Mainland China (strain BPC006) and Taiwan (strain vgh07; Fang et al., 2012; Chen Y. S. et al., 2015). MALDI-TOF MS is increasingly being used in clinical microbiology laboratories to identify bacterial isolates to the species level and the technique is expected to further accelerate the routine identification of suspicious isolates (Bizzini and Greub, 2010; Inglis et al., 2012; Lau et al., 2012; Niyompanich et al., 2014; Jang et al., 2015; Lasch et al., 2015). Because diseases due to B. pseudomallei are uncommon in North America and Europe, B. pseudomallei are not included (but B. thailandensis was included) in the reference spectra of the Bruker Biotyper and Vitek MS libraries (SARAMIS database) (Jang et al., 2015). In the present study, we evaluated the ability of the Bruker Biotyper MALDI-TOF MS system to accurately identify genetically confirmed B. pseudomallei that were recovered from patients and environmental sources.

Materials and methods

Bacterial isolates

A total of 66 isolates of B. pseudomallei, including 43 clinical isolates and 23 environmental isolates, were collected for study. Among these isolates, 27 were recovered from patients with bloodstream infections who were treated at National Taiwan University Hospital (NTUH, a 2500-bed university-affiliated hospital in northern Taiwan) during the period 1998–2014 (Table 1), and three isolates were recovered from patients treated at Peking Union Medical College Hospital (PUMCH), Beijing, China. The other 36 isolates of B. pseudomallei, which had been identified by sequencing of the 16S rRNA and flagellar genes (Chen et al., 2013), included 13 isolates from various clinical samples obtained from patients treated at several hospitals in southern Taiwan and 23 isolates obtained from different environmental sources during the period 1994–2013 (Table 2; Chen et al., 2013). Cultures and analysis of B. pseudomallei isolates were manipulated in the Mycobacteriology Laboratory at NTUH, a biosafety level 3 laboratory, and followed the biosafety level 3 precaution. Identification of these isolates were initially based on conventional biochemical methods and commercial identification systems, including API (API 20E) and Vitek 2 (ID-GN card) (bioMe'rieux, Marcy l'Etoile, France). Arabinose assimilation testing was performed for all genetically confirmed B. pseudomallei isolates as reported previously (Hsueh et al., 2001).
Table 1

Results of 16S rRNA sequencing analysis and Bruker Biotyper MALDI TOF MS for the identification of 26 isolates of .

No. (NTUH)Year of isolationIdentification by 16S rRNA sequencing analysisIdentification by Bruker Biotyper MALDI TOF MS system
Species (% of identity)Accession no (best match).Database (DB 5627)New database (NTUH-3 strain)
Organism (best match)Score valueOrganism (best match)Score value
1.1998B. pseudomallei (100)CP004043.1B. thailandensis2.063B. pseudomallei2.15
2.1998B. pseudomallei (100)CP004043.1B. thailandensis1.913B. pseudomallei2.228
3.1998B. pseudomallei (100)CP004043.1B. thailandensis2.036B. pseudomallei2.318
4.1999B. pseudomallei (100)CP004043.1B. thailandensis1.974B. pseudomallei2.257
5.1999B. pseudomallei (100)CP004043.1B. thailandensis1.993B. pseudomallei2.332
6.2000B. pseudomallei (100)CP004043.1B. thailandensis1.907B. pseudomallei2.161
7.2000B. pseudomallei (100)CP004043.1B. thailandensis1.907B. pseudomallei2.117
8.2000B. pseudomallei (100)CP004043.1B. thailandensis1.899B. pseudomallei2.266
9.2000B. pseudomallei (100)CP004043.1B. thailandensis1.938B. pseudomallei2.075
10.2000B. pseudomallei (100)CP004043.1B. thailandensis1.934B. pseudomallei2.063
11.2001B. pseudomallei (100)CP004043.1B. thailandensis1.933B. pseudomallei2.055
12.2001B. pseudomallei (100)CP004043.1B. thailandensis1.996B. pseudomallei2.252
13.2001B. pseudomallei (100)CP004043.1B. thailandensis1.808B. pseudomallei2.017
14.2001B. pseudomallei (100)CP004043.1B. thailandensis1.941B. pseudomallei2.043
15.2001B. pseudomallei (100)CP004043.1B. thailandensis1.936B. pseudomallei2.09
16.2001B. pseudomallei (100)CP004043.1B. thailandensis2.016B. pseudomallei2.077
17.2001B. pseudomallei (100)CP004043.1B. thailandensis1.803B. pseudomallei2.113
18.2001B. pseudomallei (100)CP004043.1B. thailandensis1.898B. pseudomallei2.235
19.2003B. pseudomallei (100)CP004043.1B. thailandensis1.946B. pseudomallei2.27
20.2003B. pseudomallei (100)CP004043.1B. thailandensis1.865B. pseudomallei2.147
21.2004B. pseudomallei (100)CP004043.1B. thailandensis1.971B. pseudomallei2.308
22.2004B. pseudomallei (100)CP004043.1B. thailandensis2.002B. pseudomallei2.303
23.2005B. pseudomallei (100)CP004043.1B. thailandensis1.968B. pseudomallei2.221
24.2008B. pseudomallei (100)CP004043.1B. thailandensis2.013B. pseudomallei2.221
25.2014B. pseudomallei (100)CP004043.1B. thailandensis2.013B. pseudomallei2.176
26.2014B. pseudomallei (100)CP004043.1B. thailandensis2.013B. pseudomallei2.307
Table 2

Identification of 36 isolates of .

NoYear of isolationSourceType of infection or environmental sourcesIdentification results by Bruker Biotyper MALDI TOF MS system (NTUH-3 strain)
271994HumanMycotic aneurysm (thoracic aorta)2.545
281995HumanSeptic pulmonary emboli2.375
291996HumanOsteomyelitis, subcutaneous abscess2.259
301996HumanPneumonia2.405
311996HumanOsteomyelitis2.509
321996HumanPrimary bacteremia2.529
331996HumanHepatosplenic abscess2.482
341996HumanHepatosplenic abscess2.398
351996HumanHepatosplenic abscess2.449
361998HumanHepatic abscesses2.567
372001HumanMycotic aneurysm (thoracic aorta)2.517
382001HumanSepticemia2.318
392001HumanMultiple abscesses2.506
402011SoilFarm-1 (60 cm below surface)2.470
412011SoilFarm-1 (30 cm below surface)2.626
422011SoilLawn (10 cm below surface)2.508
432011SoilLawn (60 cm below surface)2.436
442011SoilLawn (30 cm below surface)2.461
452011WaterPond2.537
462012SoilFarm-1 (60 cm below surface)2.425
472012SoilFarm-1 (60 cm below surface)2.509
482012SoilFarm-1 (10 cm below surface)2.511
492012SoilFarm-1 (10 cm below surface)2.315
502013AerosolsPrimary school2.307
512013AerosolsPrimary school2.479
522013AerosolsPrimary school2.385
532013SoilFarm-1 (60 cm below surface)2.457
542013SoilFarm-1 (60 cm below surface)2.462
552013SoilFarm-1 (60 cm below surface)2.413
562013SoilFarm-1 (60 cm below surface)2.573
572013SoilFarm-1 (60 cm below surface)2.517
582013SoilFarm-1 (60 cm below surface)2.509
592013WaterPond2.561
602013WaterPond2.27
612013WaterPond2.436
622013WaterPond2.595

These isolates were identified as B. pseudomallei by sequencing of the 16S rRNA and flagellar genes (6).

Results of 16S rRNA sequencing analysis and Bruker Biotyper MALDI TOF MS for the identification of 26 isolates of . Identification of 36 isolates of . These isolates were identified as B. pseudomallei by sequencing of the 16S rRNA and flagellar genes (6).

Identification of isolates by gene sequencing analysis

Partial 16S rRNA gene sequencing of all 66 isolates was performed using two primers, 8FPL (5′-AGAGTTT GATCCTGGCTCAG-3′) and 1492RPL (5′-GGTTACCTTG TTACGACTT-3′; Cheng et al., 2015). The sequences (1425 bp) obtained were compared with published sequences in the GenBank database using the BLAST algorithm (http://www.ncbi.nlm.nih.gov/blast).

Identification of isolates by the bruker biotyper MALDI-TOF system

Samples of the 66 isolates were prepared for analysis by the Bruker Biotyper MALDI-TOF MS system as previously described (Cheng et al., 2015). B. thailandensis E264 (ATCC700388) was included as the control strain. All isolates were inoculated onto Trypticase soy agar with 5% sheep blood (blood agar plates, BAP; Becton Dickinson Microbiology Systems Sparks, MD, USA) and incubated in 5% CO2 at 37°C for 18 to 24 h. Two to three colonies were transferred to a 1.5-ml screw-cap Eppendorf tube containing 50 μl of 70% formic acid. After incubation for 30 s, 50 μl of acetonitrile (Sigma-Aldrich) was added. The suspension was centrifuged at 13,000 rpm for 2 min, and then 1.0 μl of the supernatant was applied to a 96-spot polished steel target plate (Bruker Daltonik GmbH) and dried. A saturated solution of 1.0 μl of MALDI matrix (alphacyano-4-hydroxycinnamic acid matrix solution; Bruker Daltonik GmbH) was applied to each sample and dried. Measurements were performed with the Bruker Biotyper MALDI-TOF MS system using FlexControl software with Compass Flex Series version 1.3 software and a 60-Hz nitrogen laser (337 nm wavelength). Spectra ranging from 2000 to 20,000 m/z were analyzed using the MALDI Biotyper system's automation control and the current Bruker Biotyper 3.1 software and library (database [DB] 5627 with 5627 entries). Identification scores of ≥2.000 indicated species-level identification, scores of 1.700 to 1.999 indicated genus-level identification, and scores of < 1.700 indicated no reliable identification. B. pseudomallei is not listed in the current Bruker Biotyper MALDI-TOF MS database.

Cluster analysis and main spectra projection by the Bruker biotyper MALDI TOF system

A clustering analysis of 26 isolates collected from NTUH was performed using ClinProTools 3.0 (Bruker Daltonics GmbH, Bremen, Germany; Cheng et al., 2015). Dendrograms from the MALDI Biotyper data of 26 genetically well-characterized B. pseudomallei isolates were obtained and cluster groups with a default critical distance level of 850 were identified. Isolates from different cluster groups were selected for main spectra projection (MSP; database entrance) creation using MALDI Biotyper software (Bruker Daltonics). The database generated using the isolates selected from different cluster groups was blindly tested against the 26 B. pseudomallei isolates from NTUH. External validation was performed for another 36 B. pseudomallei isolates collected from southern Taiwan, 30 isolates of B. putida collected from NTUH (n = 10) and PUMCH (n = 20), and 30 isolates of B. cepacia complex (from NTUH). Principal component analysis (PCA) dendrograms were generated from MALDI-TOF MS Biotyper mass spectra of 62 isolates of B. pseudomallei, including 42 clinical isolates and 20 environmental isolates.

Results

Among the 30 clinical isolates collected from clinical microbiology laboratories at the NTUH and PUMCH that were initially identified as B. pseudomallei (all >90% probability) by the Vietk 2 ID-GN card, four (one for NTUH and three from PUMCH) were identified as non-B. pseudomallei by partial 16S rDNA sequencing analysis. Among these four isolates, one was identified as B. cepacia complex (NTUH) and three were identified as B. pudita (PUMCH) by partial 16S rDNA sequencing analysis. The Bruker Biotyper MALDI-TOF MS system misidentified all the 62 isolates of genetically confirmed B. pseudomallei as B. thailandensis (seven isolates with a score value ≥2.000) or Burkholderia species (19 with score values ranging from 1.803 to 1.996). However, arabinose assimilation testing showed that all 62 isolates were arabinose non-assimilators, indicating that these isolates were not B. thailandensis. Clustering analysis of the 26 genetically confirmed isolates of B. pseudomallei collected from NTUH by the Bruker Biotyper MALDI-TOF MS system identified five cluster groups (Figure 1).
Figure 1

Principal component analysis (PCA) dendrogram generated from Bruker Biotyper MALDI-TOF MS mass spectra of 26 clinical isolates of . The five arrows indicate the MALDI spectra of the five B. pseudomallei isolates selected for MSP (main spectra projection; database entrance) creation using MALDI Biotyper software (Bruker Daltonics).

Principal component analysis (PCA) dendrogram generated from Bruker Biotyper MALDI-TOF MS mass spectra of 26 clinical isolates of . The five arrows indicate the MALDI spectra of the five B. pseudomallei isolates selected for MSP (main spectra projection; database entrance) creation using MALDI Biotyper software (Bruker Daltonics). Because B. pseudomallei was not listed in the current Bruker Biotyper MALDI-TOF MS database (DB5627), spectra of five isolates, namely NTUH-3, NTUH-13, NTUH-14, NTUH-16, and NTUH-17, were selected from each cluster group for MSP (database entrance). The database generated using the five isolates was blindly tested against the spectra of the remaining 57 isolates (21 from NTUH and 36 from southern Taiwan). The best identification scores were found according to the database created using the NTUH-3 strain; all (100%) 57 B. pseudomallei isolates were correctly identified as B. pseudomallei with identification scores of ≥2.000 (2.017 to 2.626). B. thailandensis E264 (ATCC700388) was identified by the Bruker Biotyper MALDI-TOF MS system based on Bruker Biotyper 3.1 software and library (DB5627) plus new database created by NTUH-3 strain (enhanced database) as B. thailandensis (best match, score value of 2.170) or B. pseudomallei (second match, score value of 2.058). Among the four isolates initially mis-identified as B. pseudomallei, one was identified as B. cepacia complex (NTUH; score value of 2.137) and three were identified as B. pudita (PUMCH; 2.012, 2.102, and 2.223, respectively) by standard and enhanced Bruker Biotyper MALDI-TPOF MS database. The characteristic spectra of NTUH-3 strain and B. thailandensis E264 (ATCC700388) are shown in Figure 2.
Figure 2

Characteristic MALDI-TOF MS spectra. Characteristic spectra of (A) B. pseudomallei (NTUH-3 strain) and (B) B. thailandensis E264 (ATCC 700388) generated by the Bruker Biotyper MALDI-TOF MS system. 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 ratios.

Characteristic MALDI-TOF MS spectra. Characteristic spectra of (A) B. pseudomallei (NTUH-3 strain) and (B) B. thailandensis E264 (ATCC 700388) generated by the Bruker Biotyper MALDI-TOF MS system. 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 ratios. The PCA dendrogram generated from MALDI Biotyper mass spectra of 62 isolates of B. pseudomallei, including 42 clinical isolates and 20 environmental isolates collected from northern and southern Taiwan is illustrated in Figure 3. There were five cluster groups with dividing branches linked at a distance level of 850.
Figure 3

Principal component analysis (PCA) dendrogram of . PCA dendrogram generated from Bruker Biotyper MALDI TOF MS mass spectra of the 62 isolates of B. pseudomallei, including 42 clinical isolates, and 20 environmental isolates collected from northern and southern Taiwan.

Principal component analysis (PCA) dendrogram of . PCA dendrogram generated from Bruker Biotyper MALDI TOF MS mass spectra of the 62 isolates of B. pseudomallei, including 42 clinical isolates, and 20 environmental isolates collected from northern and southern Taiwan. Among the 30 isolates of genotypically characterized B. putida and 30 isolates of B. cepacia complex, all were identified as B. putida (score values of >2.000) and B. cepacia complex (26 B. cenocepacia and four B. cepacia; score values of >2.000), respectively, using the pre-existing database and that created by NTUH-3 strain.

Discussion

This study revealed several important findings. First, the Bruker Biotyper MALDI-TOF MS system failed to correctly identify clinical and environmental isolates of B. pseudomallei because B. pseudomallei is not listed in the current version of FDA-cleared Bruker library. Although there is a “security-relevant library” which contains B. pseudomallei, this library is not available in most clinical microbiological laboratories. Second, when we included the B. pseudomallei NTUH-3 strain only into the current library, all isolates of B. pseudomallei could be identified B. pseudomallei by the Bruker Biotyper MALDI-TOF MS system with a correct identification rate of 100%. Third, the control strain of B. thailandensis was still identified as B. thailandensis as the best match organism when the enhanced database was used. Finally, all isolates obtained from environmental sources were confirmed to be B. pseudomallei not B. thailandensis. Identification of B. pseudomallei poses difficulties in clinical microbiology laboratories. Although, B. pseudomallei is included in the API 20NE, the Vitek 1, and the Vitek 2 databases, the accuracy of identification by these systems varies (Lau et al., 2015). Misidentification of B. pseudomallei as other Burkholderia species such as B. cepacia complex and B. putida as well as Pseudomonas aeruginosa is common using these commercial systems (around 20%; Lowe et al., 2006; Deepak et al., 2008; Zong et al., 2012; Lau et al., 2015). Furthermore, commercial bacterial identification kits might fail to differentiate between B. pseudomallei and a closely related species such as B. thailandensis, although >99% of cases of melioidosis are caused by B. pseudomallei (Lau et al., 2015). The issue of misidentification of B. pseudomallei is of importance for patient care as well as laboratory safety. Traditionally, B. pseudomallei can be distinguished from B. thailandensis by arabinose assimilation (Lau et al., 2015). Genotypic differentiation between B. pseudomallei and B. thailandensis can be achieved by specific PCR-based identification using B. pseudomallei-specific gene targets, such as the Type III secretion system and Tat-domain protein and sequencing of gene targets of 16S rRNA and groEL (Lau et al., 2015). MALDI-TOF MS, a revolutionary technique for pathogen identification, has been shown to be a potentially useful tool for rapid identification of B. pseudomallei, although existing databases require optimization by adding reference spectra for B. pseudomallei (Inglis et al., 2012; Lau et al., 2012; Niyompanich et al., 2014; Lasch et al., 2015). Jang et al. reported a case of multifocal aneurysms in the aortic arch of the thoracic aorta and pseudoaneurysm in the abdominal aorta and the inferior area of the superior mesenteric artery caused by B. pseudomallei (Jang et al., 2015). Colonies from positive blood and tissue were compatible with the presumptive identification of B. pseudomallei. However, using the Vitek 2 system, the blood isolate was identified as B. pseudomallei and the tissue isolate was identified as B. cepacia complex. The blood isolate was identified as B. thailandensis with a score value of 1.901 by the Bruker Biotyper MALDI-TOF MS system (Jang et al., 2015). Lau et al. used the Bruker database extended with B. pseudomallei reference strains, three B. thailandensis isolates were misidentified as B. pseudomallei. In this study, the reference strain of B. thailandensis was correctly identified with enhanced Bruker database. More isolates of B. thailandensis isolates are needed for verify the accuracy of this new database. Recently, bioMerieux recognized misidentification of B. pseudomallei as an important issue and addressed the problem by altering the algorithm parameters. The new parameters are included in the most recent software release (version 4.03 for Vitek 2 60/XL and version 2.01 for Vitek 2 Compact; Lowe et al., 2006). Interestingly, in this study all four isolates initially identified as B. pseudomallei by the Vitek 2 ID-GN card were identified as B. cepacia complex or B. pudita by 16S rRNA sequencing analysis. In areas with high endemicity of melioidoisis like Taiwan, laboratory staff tends to report the results of B. pseudomallei isolation without further clarification. In contrast, most clinical microbiologists in Beijing often recheck the identification of B. pseudomallei because of the low incidence of melioidoisis in northern China (Yang, 2000; Currie et al., 2008; Fang et al., 2015; Zheng et al., 2015).

Summary

In areas where this organism is endemic, such as in South Asia and Northern Australia, identification of B. pseudomallei is not usually problematic (Currie et al., 2008; Lau et al., 2015). With increased international travel and threats of bioterrorism, recognition, and accurate identification of these organisms is important (Lau et al., 2015). The use of automated identification systems, including MALDI-TOF MS, in the clinical microbiology laboratory is becoming common as the pressure of cost containment impacts staff resources. In this study, using our newly created database, all B. pseudomallei isolates were correctly identified to the species level using the Bruker Biotyper MALDI-TOF MS system. These findings suggest that MALDI-TOF MS is a versatile and robust tool for the rapid identification of B. pseudomallei isolates. Expansion of commercially available databases with pathogens endemic in different regions is crucial to improve the usefulness of MALDI-TOF MS. However, this successful application of MALDI-TOF can only be regarded as pilot study, due to the small sample size, which needs independent validation before it can be offered as routine technique in the clinic.

Author contributions

HW, PH, and YX conceived and designed the experiments, performed the experiments, analyzed the data, and wrote the paper. YC, ST, ZX performed the experiments and analyzed the data. HW, YC, ST, ZX, PH, YX read and approved the final version of the manuscript.

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.
  27 in total

1.  Matrix-assisted laser desorption ionization-time of flight mass spectrometry for rapid identification of Burkholderia pseudomallei: importance of expanding databases with pathogens endemic to different localities.

Authors:  Susanna K P Lau; Bone S F Tang; Shirly O T Curreem; Tsz-Ming Chan; Paolo Martelli; Cindy W S Tse; Alan K L Wu; Kwok-Yung Yuen; Patrick C Y Woo
Journal:  J Clin Microbiol       Date:  2012-06-20       Impact factor: 5.948

2.  Melioidosis in Hainan, China: a restrospective study.

Authors:  Yao Fang; Hai Chen; Yuan-Li Li; Qian Li; Zhi-Jia Ye; Xu-Hu Mao
Journal:  Trans R Soc Trop Med Hyg       Date:  2015-08-13       Impact factor: 2.184

3.  Burkholderia pseudomallei identification: a comparison between the API 20NE and VITEK2GN systems.

Authors:  Rama Narayana Deepak; Brett Crawley; Elaine Phang
Journal:  Trans R Soc Trop Med Hyg       Date:  2008-12       Impact factor: 2.184

4.  Misidentification of Burkholderia pseudomallei as Burkholderia cepacia by the VITEK 2 system.

Authors:  Zhiyong Zong; Xiaohui Wang; Yiyun Deng; Taoyou Zhou
Journal:  J Med Microbiol       Date:  2012-07-19       Impact factor: 2.472

5.  First genome sequence of a Burkholderia pseudomallei Isolate in China, strain BPC006, obtained from a melioidosis patient in Hainan.

Authors:  Yao Fang; Yong Huang; Qian Li; Hai Chen; Zhen Yao; Jin Pan; Jiang Gu; Bin Tang; Hai-guang Wang; Bo Yu; Yi-gang Tong; Quan-ming Zou; Xu-hu Mao
Journal:  J Bacteriol       Date:  2012-12       Impact factor: 3.490

6.  Characterisation of predominant molecular patterns of Burkholderia pseudomallei in Taiwan.

Authors:  Ya-Lei Chen; Ying-Chun Lin; Yao-Shen Chen; Ssu-Ching Chen; Yu-Mei Liu; I-Ling Tseng; Chuen-Sheue Chiang; Hsi-Hsun Lin; Jung-Jung Mu
Journal:  Trans R Soc Trop Med Hyg       Date:  2013-01-24       Impact factor: 2.184

7.  Use of various common isolation media to evaluate the new VITEK 2 colorimetric GN Card for identification of Burkholderia pseudomallei.

Authors:  Peter Lowe; Helen Haswell; Kirsty Lewis
Journal:  J Clin Microbiol       Date:  2006-03       Impact factor: 5.948

8.  Airborne Transmission of Melioidosis to Humans from Environmental Aerosols Contaminated with B. pseudomallei.

Authors:  Pei-Shih Chen; Yao-Shen Chen; Hsi-Hsun Lin; Pei-Ju Liu; Wei-Fan Ni; Pei-Tan Hsueh; Shih-Hsiung Liang; Chialin Chen; Ya-Lei Chen
Journal:  PLoS Negl Trop Dis       Date:  2015-06-10

Review 9.  The bacterial aetiology of adult community-acquired pneumonia in Asia: a systematic review.

Authors:  Leon Peto; Behzad Nadjm; Peter Horby; Ta Thi Dieu Ngan; Rogier van Doorn; Nguyen Van Kinh; Heiman F L Wertheim
Journal:  Trans R Soc Trop Med Hyg       Date:  2014-04-29       Impact factor: 2.184

10.  Burkholderia pseudomallei sequence type 562 in China and Australia.

Authors:  Hai Chen; Lianxu Xia; Xiong Zhu; Wei Li; Xiaoli Du; Duorong Wu; Rong Hai; Xiaona Shen; Ying Liang; Hong Cai; Xiao Zheng
Journal:  Emerg Infect Dis       Date:  2015-01       Impact factor: 6.883

View more
  11 in total

Review 1.  Human Melioidosis.

Authors:  I Gassiep; M Armstrong; R Norton
Journal:  Clin Microbiol Rev       Date:  2020-03-11       Impact factor: 26.132

2.  Utility of a Rapid Lateral Flow Assay To Resolve Erroneous Identification of Burkholderia pseudomallei as Burkholderia thailandensis by Matrix-Assisted Laser Desorption Ionization-Time of Flight (MALDI-TOF) Mass Spectrometry.

Authors:  Susan A J Harch; Bart J Currie; Lito Papanicolas; Vanessa Rigas; Rob Baird; Ivan Bastian
Journal:  J Clin Microbiol       Date:  2018-11-27       Impact factor: 5.948

3.  Identification of Burkholderia pseudomallei by Use of the Vitek Mass Spectrometer.

Authors:  I Gassiep; M Armstrong; R E Norton
Journal:  J Clin Microbiol       Date:  2019-04-26       Impact factor: 5.948

4.  The Brief Case: A Traveler's Tale-Burkholderia pseudomallei Infection in a Cystic Fibrosis Patient.

Authors:  I T Hettiarachchi; J Duckers; D Lau; R Dhillon
Journal:  J Clin Microbiol       Date:  2019-11-22       Impact factor: 5.948

5.  Misidentification of Risk Group 3/Security Sensitive Biological Agents by MALDI-TOF MS in Canada: November 2015-October 2017.

Authors:  D Pomerleau-Normandin; M Heisz; M Su
Journal:  Can Commun Dis Rep       Date:  2018-05-03

6.  Rapid Clinical Screening of Burkholderia pseudomallei Colonies by a Bacteriophage Tail Fiber-Based Latex Agglutination Assay.

Authors:  Veerachat Muangsombut; Patoo Withatanung; Narisara Chantratita; Sorujsiri Chareonsudjai; Jiali Lim; Edouard E Galyov; Orawan Ottiwet; Sineenart Sengyee; Sujintana Janesomboon; Martin J Loessner; Matthew Dunne; Sunee Korbsrisate
Journal:  Appl Environ Microbiol       Date:  2021-05-26       Impact factor: 4.792

7.  Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry for the identification of Burkholderia pseudomallei from Asia and Australia and differentiation between Burkholderia species.

Authors:  Vichaya Suttisunhakul; Apinya Pumpuang; Peeraya Ekchariyawat; Vanaporn Wuthiekanun; Mindy G Elrod; Paul Turner; Bart J Currie; Rattanaphone Phetsouvanh; David A B Dance; Direk Limmathurotsakul; Sharon J Peacock; Narisara Chantratita
Journal:  PLoS One       Date:  2017-04-06       Impact factor: 3.240

8.  The first imported case of melioidosis in a patient in central China.

Authors:  Youhua Yuan; Zonghui Yao; Erhui Xiao; Jiangfeng Zhang; Baoya Wang; Bing Ma; Yi Li; Wenjuan Yan; Shanmei Wang; Qiong Ma; Junhong Xu; Yuming Wang; Enguo Fan
Journal:  Emerg Microbes Infect       Date:  2019       Impact factor: 7.163

9.  Leg ulceration due to cutaneous melioidosis in a returning traveller.

Authors:  Christiana Stavrou; Ophelia Veraitch; Stephen Morris-Jones; Stephen L Walker
Journal:  BMJ Case Rep       Date:  2021-06-14

10.  A multi-country study using MALDI-TOF mass spectrometry for rapid identification of Burkholderia pseudomallei.

Authors:  Wanitda Watthanaworawit; Tamalee Roberts; Jill Hopkins; Ian Gassiep; Robert Norton; Matthew T Robinson; Joy Silisouk; Poda Sar; Sena Sao; Premjit Amornchai; Direk Limmathurotsakul; Vanaporn Wuthiekanun; Francois Nosten; Andrew J H Simpson; Paul Turner; Clare L Ling
Journal:  BMC Microbiol       Date:  2021-07-16       Impact factor: 3.605

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.