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Journal of Clinical Microbiology logoLink to Journal of Clinical Microbiology
. 2013 Jan;51(1):136–141. doi: 10.1128/JCM.01907-12

Detection, Identification, and Distribution of Fungi in Bronchoalveolar Lavage Specimens by Use of Multilocus PCR Coupled with Electrospray Ionization/Mass Spectrometry

Jeong Hwan Shin a,b, Raymond Ranken c, Susan E Sefers b, Robert Lovari c, Criziel D Quinn b, Shufang Meng b, Heather E Carolan c, Donna Toleno c, Haijing Li b, Jeong Nyeo Lee a, Charles W Stratton b, Christian Massire c, Yi-Wei Tang b,d,
PMCID: PMC3536260  PMID: 23100337

Abstract

As pulmonary fungal infections continue to increase due to an increasing number of immunocompromised patients, rapid detection and accurate identification of these fungal pathogens are critical. A broad fungal assay was developed by incorporating broad-range multilocus PCR amplification and electrospray ionization/mass spectrometry (PCR/ESI-MS) to detect and identify fungal organisms directly from clinical specimens. The aims of this study were to evaluate the performance of PCR/ESI-MS for detection, identification, and determination of the distribution of fungal organisms in bronchoalveolar lavage (BAL) fluid specimens. The BAL fluid specimens submitted for fungal culture at Vanderbilt University Medical Center between May 2005 and October 2011 were included. Cultures and identification were done using standard procedures. In addition, DNA was extracted from BAL fluid specimens, and fungal DNA amplification/identification were performed by PCR/ESI-MS. The results were compared with those of the standard cultures. A total of 691 nonduplicated BAL fluid specimens with sufficient leftover volume for molecular testing were evaluated using PCR/ESI-MS. Among them, 134 specimens (19.4%) were positive for fungi by both culture and PCR/ESI-MS testing. Of the dual-positive specimens, 125 (93.3%) were positive for Candida and Aspergillus species, with concordances between culture and PCR/ESI-MS results being 84 (67.2%) at the species level and 109 (87.2%) at the genus level. In addition, 243 (35.2%) and 30 (4.3%) specimens were positive only by PCR/ESI-MS or by culture, respectively (odds ratio [OR] = 11.95, 95% confidence interval [CI] = 7.90 to 18.17, P = 0.0000). Codetection of fungal organisms was noted in 23 (3.3%) specimens by PCR/ESI-MS, which was significantly higher than the 4 (0.6%) in which they were noted by culture (OR = 5.91, 95% CI = 1.93 to 20.27, P = 0.0002). Among 53 specimens in which cultures failed because of bacterial overgrowth, at least one fungus was identified in 26 specimens (47.3%) by PCR/ESI-MS. PCR/ESI-MS provides an advanced tool for rapid and sensitive detection, identification, and determination of the distribution of fungal organisms directly from BAL fluid specimens. Moreover, it detected fungal organisms in specimens in which cultures failed because of bacterial overgrowth. The clinical relevance of the significantly higher detection rate of fungal organisms by PCR/ESI-MS merits further investigation.

INTRODUCTION

As pulmonary fungal infections continue to increase due to an increasing population of immunocompromised patients, rapid detection and accurate identification of fungal pathogens are critical for optimal patient care. A delay in diagnosis may result in high mortality and morbidity rates if the fungal infection proceeds to invasive disease (13).

At present, culture is the “gold standard” for the diagnosis of a fungal pulmonary infection and is the standard procedure used. However, it may take days or weeks to grow fungal pathogens by culture and an additional 1 to 2 days to identify these fungi by standard biochemical and phenotypic testing methods (46). Moreover, considerable experience is needed at the bench to identify mold-form fungi to the species level. To overcome these limitations, several nonculture diagnostic methods have been introduced. Among them, fungal antigen testing is convenient and fast, but it lacks sensitivity and specificity, restricting its use in clinical laboratories. Molecular methods using PCR and real-time PCR techniques are useful for the diagnosis of fungal infection but can detect only one or a few specific pathogens (7, 8).

PCR with electrospray ionization/mass spectrometry (PCR/ESI-MS) is a relatively new technique based on ESI-MS combined with PCR. This method enables detection and identification of causative pathogens directly from clinical specimens or mixtures of organisms with rapid turnaround and high throughput (9, 10). This technique has been used to detect bacteria, viruses, yeasts, and other infectious agents (1013), but there are no data on its value for the detection of fungal organisms, including yeasts and molds.

The PCR/ESI-MS broad fungal assay (BFA; Ibis Biosciences, Carlsbad, CA) incorporates broad-range multilocus PCR amplification and ESI-MS to detect and identify fungal organisms directly from clinical specimens. The aims of this study were to evaluate the performance of PCR/ESI-MS for detection and identification of fungal organisms and to investigate the distribution of these fungi in bronchoalveolar lavage (BAL) fluid specimens.

(This study was presented in part at the 112th Annual Meeting of the American Society for Microbiology, San Francisco, CA, 16 to 19 June 2012.)

MATERIALS AND METHODS

Clinical specimens.

A total of 859 BAL fluid specimens were collected for fungal culture between May 2005 and October 2011 at Vanderbilt Medical Center. These specimens were stored in −80°C freezers until testing. We excluded 168 specimens because the amount of stored material was insufficient for PCR/ESI-MS analysis or the stored material was a duplicate of an already collected specimen. As a result, 691 BAL fluid specimens were included and analyzed by PCR/ESI-MS.

Fungal cultures and identification were performed on fresh specimens by standard procedures in a clinical microbiology laboratory. Yeast-form fungi were identified according to standard clinical laboratory methods, including the germ tube test, the Phoenix Yeast ID system, and the API 20C system. Mold-form fungi were identified using colony morphology and microscopic findings. These phenotypic identifications were considered the reference method to evaluate PCR/ESI-MS.

Multilocus broad-range PCR/ESI-MS.

The PCR/ESI-MS kit contains reagents to process and identify a broad range of fungal species, including Aspergillus, Candida, Fusarium, Cryptococcus, and Mucorales. This is a singleplex assay with 16 unique broad-range PCR primer sets, including 9 broad-range primer sets, 6 short-range primer sets, and 1 control primer set (Table 1). A synthetic DNA construct was also included within each reaction mixture (20 copies per reaction) as an internal positive amplification control as well as a quantitative calibrant. This synthetic construct (approximately 1,800 nucleotides) contained all 16 primer-binding regions; however, these regions each contained either insertions or deletions, causing a mass shift to allow product differentiation from the actual sample. By comparing the signal obtained from the synthetic construct amplicons and the target amplicons, an approximate template copy number could be determined.

Table 1.

Broad-range primers and targets for PCR/ESI-MS BFA

Target genea Primer sequence (5′ → 3′) Locus Amplicon size (bp) Range of targeted fungi
LSU rRNA TCATTTTTGGTAAGCAGAACTGGCGA 5186 107–108 Broad
TGTCTAGATGAACTAACACCTTTTGTGGT
LSU rRNA TGCCGAAGTTTCCCTCAGGATAGCA 5187 72–78 Broad
TCAAGGCCTCTAATCATTCGCTTTACCTC
SSU rRNA TGCAGGCCTATGCTCGAATACATTAGCATTGTCCCTATTAATCATTACGGCGGTCCTA 5178 99–101 Ascomycetes and basidiomycetes
LSU rRNA TGTGAAGCGGCAAAAGCTCAAATTT 3030 116–130 Ascomycetes and basidiomycetes
TTCTCACCCTCTGTGACGGCCTGTTCC
LSU rRNA TGGAGTCTAACATCTATGCGAGTGTT 5185 137–153 Ascomycetes and some basidiomycetes
TCCCACAGCTATGCTCTTACTCAAATCC
LSU rRNA TTGTGTAGAATAGGTGGGAGCTTCGGC 3766 148–154 Ascomycetes and basidiomycetes
TCTGACAATGTCTTCAACCCGGATC
mtSSU rRNA TCCAAATTACGTGCCAGCAGTCG 5181 90 Ascomycetes (except Candida spp) and zygomycetes
TCCCTACCGTCTAGGTACCCTTTAAACC
SSU rRNA TCTTGGATTGACCGAAGACAAACTACTG 4836 136–136 Most ascomycetes and basidiomycetes, zygomycetes
TCTCTAGTCGGCATCGTTTGTGGTTAAG
tub TGCCGCGGTGCTCACTCTTTC 4837 109 Most ascomycetes (except Candida spp.)
TGTATCGGCCGTTGCGGAAGTC
mt cytB TCCCCGTAACAATTTTCTTATTCTTCTTAGTATTAGTGCATTGGGTTAGCTGGAATATAATTATCAGGATG 5172 106 Zygomycetes
SSU rRNA TCGAAGACGATTAGATACCGTCGTAGTC TCAGAGCCCAAAAACTTTACTTTCGCTAAG 5174 113–116 Zygomycetes
mtSSU rRNA TCCAAGTACTTGACACATGCTAATCG 3862 102–133 Eurotiales (Aspergillus, Penicillium)
TCCCCTTACTTTAAGGTAGCCAAATTATC
mtSSU rRNA TGGTACAGTGGAGTATGCTGTTTAATTGGA 3865 93–131 Saccharomycetales (Candida)
TCTGACGACAACAATGTAACGCCTG
mtSSU rRNA TTCGATACCCGTGTAGTTCTAGTAGTAAACTCATTATTGCTAACGTACTCTTCAGGTGG 3867 113–127 Saccharomycetales (Candida)
mtSSU rRNA TACCAAGCCAATGACGAGTAGGG 4145 87 Tremellales (Cryptococcus)
TGCTGCACATAATCTATGCTCTGGAC
hpr TGACGAGTTCATGAGGGCAGGC 4437 77 Extraction control (pumpkin DNA)
TCTGGCCTTTCAGCAAGTTTCCAAC
a

LSU, long subunit; SSU, short subunit; mt, mitochondrial.

DNA was extracted from 1 ml of thawed BAL fluid specimens, which was first lysed by adding 25 μl of proteinase K, 250 μl of 10% bovine serum albumin, and 142 μl of 20% SDS-extraction control mix into each bead-beating tube. After lysis of specimens with a PLEX-ID bead beater, the tubes were placed in a heating block set to 56°C for 15 min for incubation and in a centrifuge for 3 min. The specimens were then transferred to a sample plate using PLEX-ID FH, which was then ready for the PLEX-ID extractor. The PLEX-ID SP performs DNA extraction using a nonspecific capture chemistry where nucleic acids are bound to magnetic particles while cellular components and other substances are removed through a series of wash steps. Reagents are loaded in 24-well plates as follows: sample plate (lysed specimen, 1.1 ml; wash 1, 1.1 ml; magnetic particles, 160 μl), wash 1 plate (wash 1 buffer, 2 ml), wash 2 plates (wash 2 buffer, 2 ml), elution plate (elution buffer, 280 μl). DNA extracted from lysed samples was stored on an elution plate after operation of PLEX-ID SP using wash buffer 1, wash buffer 2, and elution buffer. Extracted DNAs were transferred to an assay plate by loading an elution and an assay plate for PLEX-ID FH according to the plate layout registered in the PLEX-ID software. Finally, each specimen was added to 16 wells of a 96-well plate containing primer pairs and reagents. After PCR amplification, total mass and base compositions were analyzed automatically by the PLEX-ID.

Molecular signature database.

The manufacturer analyzed over 500 reference-cultured samples to develop the database for fungal identification. For each PCR product generated in the 16 PCRs for each reference isolate analyzed, the amplicon base composition (count of A, G, C, and T residues) was calculated from the forward and reverse strand masses determined by ESI-MS. The resulting array of base composition entries was extended by an in silico survey of existing fungal entries in the GenBank nr database, which added ca. 2,300 fungal signatures. The length of PLEX-ID signatures varies for fungal species in accordance with their taxonomy, as the 16 primers have various priming ranges; typically, reference signatures are defined across 3 (some Mucorales species) to 10 (Aspergillus spp.) loci.

Reporting.

Reported fungal species names match the current taxonomic standard indicated in the NCBI taxonomy database on the basis of external references (e.g., Candida guilliermondii is reported as Meyerozyma guilliermondii). When applicable, the associated teleomorph name is reported for mitosporic species (e.g., Bipolaris and Curvularia species are reported under the Cochliobolus genus name). Most common pathogens with distinct PLEX-ID signatures are fully reported at the species level (e.g., Aspergillus fumigatus). Other organisms of lesser clinical importance, which are typically not characterized at the species level in the mycology lab, are reported at the genus level. For a specimen to be identified through matching to existing entries, at least 60% of the signature present in the PLEX-ID fungal database must be retrieved (i.e., when 3 out of 3, 4, or 5, 4 out of 6, 5 out of 7 or 8, and 6 out of 9 or 10 expected amplicon base compositions are matched). Specimens whose best database match is in the 50% to 60% range are not named specifically but prompt the instrument to issue “fungus detected—no identification can be provided” calls. No detection is reported for specimens whose best match is below the 50% signature retrieval threshold.

Statistical analysis.

Statistical comparisons were performed with Epi Info software (version 6; Centers for Disease Control and Prevention, Atlanta, GA). The results of PCR/ESI-MS were compared with those of the phenotypic reference culture methods. P values of ≤0.05 were considered statistically significant.

RESULTS

A total of 691 nonduplicated BAL fluid specimens with sufficient leftover volume for molecular testing were included in this study. The distribution of the fungal species identified by conventional standard culture methods and PCR/ESI-MS is shown in Table 2. A total of 168 fungi could be detected by culture in 164 specimens (23.7%). No fungal organisms were detected for 53 cultured specimens (7.7%) because of bacterial overgrowth. By PCR/ESI-MS, 408 fungi were detected in 377 (54.6%) specimens; however, no specific genus or species call was made for 154 specimens (22.3%), as the instrument called fungus detected—no identification can be provided, which indicated that only partial matches to the database were retrieved. Thus, a specific genus or species could be assigned for 223 specimens (32.3%).

Table 2.

Distribution of fungal species identified by either culture or PCR/ESI-MS

Method and organism No. of isolates
Culture
    Candida albicans 106
    Candida glabrata 24
    Penicillium spp. 11
    Saprophytic fungus 4
    Candida tropicalis 3
    Aspergillus fumigatus 2
    Aspergillus niger 2
    Aspergillus species, not A. fumigatus 2
    Candida parapsilosis 2
    Scopulariopsis brumptii 2
    C. albicans and C. tropicalis 2
    C. albicans and C. glabrata 1
    C. albicans and Penicillium spp. 1
    Candida krusei 1
    Trichosporon beigelii 1
    Overgrown with bacteria; unable to evaluate 53
    No growth 474
        Total 691
PLEX-ID BFA
    C. albicans 76
    C. glabrata 22
    Pneumocystis spp. 21
    Cladosporium spp. 17
    Cryptococcus spp. (other) 13
    Candida dubliniensis 10
    C. albicans and C. glabrata 5
    C. glabrata and C. tropicalis 5
    C. parapsilosis 5
    Malassezia pachydermatis 5
    C. albicans and fungus detected—no identification can be provided 4
    Candida spp. (other) 4
    C. tropicalis 4
    A. fumigatus 3
    Pichia kudriavzevii 3
    Aspergillus versicolor 2
    C. albicans and Pneumocystis species 2
    C. dubliniensis and C. glabrata 2
    C. dubliniensis and C. tropicalis 2
    Cryptococcus neoformans and fungus detected—no identification can be provided 2
    Penicillium spp. 2
    Aspergillus flavus/A. oryzaea 1
    A. fumigatus and C. albicans 1
    A. versicolor and Emericella nidulans 1
    C. albicans and Candida spp. (other) 1
    C. albicans and C. tropicalis 1
    C. dubliniensis and Pneumocystis spp. 1
    C. glabrata and fungus detected—no identification can be provided 1
    C. parapsilosis and Clavispora lusitaniae 1
    Cladophialophora sp. 1
    Cladosporium spp. and fungus detected—no identification can be provided 1
    Cochliobolus spp. 1
    Rhizomucor spp. 1
    Rhizopus spp. 1
    Scedosporium spp. 1
    Fungus detected—no identification can be provided 154
    No detection 314
        Total 691
a

Single PCR/ESI-MS detection indiscriminately matching two closely related fungi.

Among the 691 specimens, 134 (19.4%) were positive for fungi by both culture and PCR/ESI-MS, with 84 (62.7%) and 109 (81.3%) being concordant at the species and genus levels, respectively (kappa = 0.246; Table 3). Of the 134 dual-positive specimens, 125 were Candida and Aspergillus by culture, with the concordances between culture and PCR/ESI-MS results being 84 (67.2%) at the species level and 109 (87.2%) at the genus level (Table 4). In addition, 243 (35.7%) and 30 (4.3%) specimens were positive only by PCR/ESI-MS BFA and by culture, respectively (odds ratio [OR] = 11.95, 95% confidence interval [CI] = 7.90 to 18.17, P = 0.0000) (Table 5). A Pneumocystis species was detected by PCR/ESI-MS in 24 BAL fluid specimens (Tables 2, 4, and 5). No correlation between culture quantification and semiquantitative PCR/ESI-MS results was indicated (data not shown).

Table 3.

Overall concordance between culture and PCR/ESI-MS

Culture result No. of samples with indicated PLEX-ID BFA result/total no. tested (%)
Positive Negative Total
Positive 134 (19.4) 30 (4.3) 164 (23.7)
    Agreement at genus level 109/134 (81.3)
    Agreement at species level 84/134 (62.7)
Negative 243 (35.2) 284 (41.1) 527 (76.3)
    Total 377 (54.6) 314 (45.4) 691 (100)

Table 4.

Concordance-level distribution of specimens positive by both culture and PCR/ESI-MS

Level Culture identification PCR/ESI-MS BFA identification No. of isolates
Species Aspergillus fumigatus A. fumigatus 1
Candida albicans C. albicans 56
C. albicans C. albicans and A. fumigatus 1
C. albicans C. albicans and C. glabrata 4
C. albicans C. albicans and fungus detected—no identification can be provided 3
C. albicans C. albicans and Pneumocystis sp. 2
C. albicans and C. tropicalis C. albicans and C. tropicalis 1
C. glabrata C. glabrata 10
C. glabrata C. glabrata and C. dubliniensis 1
C. glabrata C. glabrata and C. tropicalis 2
C. glabrata C. glabrata and fungus detected—no identification can be provided 1
C. parapsilosis C. parapsilosis 1
C. tropicalis C. tropicalis 1
Genus A. niger A. versicolor 1
C. albicans C. dubliniensis 8
C. albicans C. dubliniensis and C. glabrata 1
C. albicans C. dubliniensis and Pneumocystis sp. 1
C. albicans C. glabrata 2
C. albicans C. parapsilosis 1
C. albicans C. tropicalis 1
C. albicans C. tropicalis and C. glabrata 1
C. albicans Pichia kudriavzevii 1
C. glabrata C. albicans 1
C. glabrata Candida sp. (other) 1
C. glabrata C. tropicalis 1
C. glabrata P. kudriavzevii 1
C. krusei C. albicans and Candida sp. (other) 1
C. tropicalis C. albicans 1
C. albicans and C. glabrata C. glabrata 1
C. tropicalis and C. albicans C. tropicalis and C. dubliniensis 1
Fungus Aspergillus sp., not A. fumigatus Cryptococcus neoformans and fungus detected—no identification can be provided 1
Aspergillus sp., not A. fumigatus Fungus detected—no identification can be provided 1
C. albicans A. flavus/A. oryzae 1
C. albicans Fungus detected—no identification can be provided 5
C. albicans Pneumocystis spp. 2
C. albicans and Penicillium sp. Fungus detected—no identification can be provided 1
C. glabrata Fungus detected—no identification can be provided 3
C. parapsilosis Fungus detected—no identification can be provided 1
C. tropicalis Fungus detected—no identification can be provided 1
Penicillium sp. Cladosporium sp. 1
Penicillium sp. Fungus detected—no identification can be provided 2
Saprophytic fungus Candida sp. (other) 1
Saprophytic fungus Cryptococcus sp. (other) 1
Saprophytic fungus Pneumocystis sp. 1
Scopulariopsis brumptii Cladosporium sp. 1
Scopulariopsis brumptii Fungus detected—no identification can be provided 1
Trichosporon beigelii Malassezia pachydermatis 1

Table 5.

Distribution of fungal species identified by culture only or PCR/ESI-MS only

Method and identification No. of isolates
Culture
    Candida albicans 16
    Penicillium spp. 8
    C. glabrata 3
    Aspergillus fumigatus 1
    A. niger 1
    Saprophytic fungus 1
        Total 30
PLEX-ID BFA only
    C. albicans 18
    Pneumocystis spp. 18
    Cladosporium spp. 15
    Cryptococcus spp. (other) 12
    C. glabrata 9
    Malassezia pachydermatis 4
    C. parapsilosis 3
    A. fumigatus 2
    C. dubliniensis 2
    C. glabrata and C. tropicalis 2
    Candida spp. (other) 2
    Penicillium spp. 2
    A. versicolor 1
    A. versicolor and Emericella nidulans 1
    C. albicans and C. glabrata 1
    C. albicans and fungus detected—no identification can be provided 1
    C. parapsilosis and Clavispora lusitaniae 1
    C. tropicalis 1
    C. tropicalis and C. dubliniensis 1
    Cladophialophora sp. 1
    Cladosporium sp. and fungus detected—no identification can be provided 1
    Cochliobolus sp. 1
    Cryptococcus neoformans and fungus detected—no identification can be provided 1
    Pichia kudriavzevii 1
    Rhizomucor sp. 1
    Rhizopus sp. 1
    Scedosporium sp. 1
    Fungus detected—no identification can be provided 139
        Total 243

Codetection of fungal organisms was noted in 30 specimens (4.3%) by PCR/ESI-MS, with both detections fully identified in 22 specimens (3.2%); in contrast, codetection of fungal organisms was identified by culture in only 4 specimens (0.6%, OR = 5.91, 95% CI = 1.93 to 20.27, P = 0.0002). At least one fungal organism was detected and identified by PCR/ESI-MS in 26/53 specimens (47.3%) where the standard culture method failed because of bacterial overgrowth. Fifteen strains of Candida dubliniensis were detected only by PCR/ESI-MS, including 11 strains that were alternatively identified as C. albicans by culture (Tables 4 and 5).

DISCUSSION

Rapid and accurate detection and identification of pathogenic fungi can improve the diagnosis and treatment of pulmonary fungal infections. Although the conventional fungal culture method remains the gold standard, it is time-consuming and may present difficulty in identifying some mold-form fungi by morphology.

There have been major advances in molecular methods for clinical laboratory diagnosis in the past decade. Some of these techniques have been used for the detection and characterization of medically important fungi (14, 15). However, most current molecular techniques can detect only a small number of specific fungal pathogens even if multiplex PCR procedures are implemented (16, 17). To overcome this limitation, broad-range PCR and sequencing were reported for the detection and identification of unknown pathogens in cultures and various clinical specimens (1820). However, this population-based sequencing identification often failed if two or more organisms existed in one specimen.

The PCR/ESI-MS technique has many attractive features compared with conventional culture methods and organism-specific PCR (9, 21, 22). It not only possesses enough sensitivity to detect pathogens directly in clinical specimens (10, 13) but also has precise discriminatory powers to simultaneously differentiate several pathogen species in a single specimen. In this study, we demonstrated the usefulness of the PCR/ESI-MS-based kit for detection and identification of fungi from BAL fluid specimens. The PLEX ID system (Ibis Biosciences, Carlsbad, CA) used for this study incorporates multilocus PCR amplification and ESI-MS detection in order to detect and characterize a variety of microorganisms, including bacteria, fungi, and viruses (21). The assay was designed to detect and identify most medically encountered fungal organisms directly from clinical specimens. This kit uses 16 primer sets of various priming ranges, including 9 for large groups of fungi; 6 narrow rangers for fine resolution of mucoraceous molds, Aspergillus and Penicillium, Candida, and Cryptococcus species; and 1 for extraction control. The PLEX-ID broad fungal assay correctly identified isolates to the species level for 154 species from 66 genera. For 12 genera, it identified organisms to the genus level when rare species beyond the 154 species were detected. With a test turnaround time from specimen to result reporting being within 6 h, final results can automatically be gained for identification without any additional analysis.

Among 134 specimens positive in both culture and PCR/ESI-MS, various fungal organisms were correctly identified from BAL fluid specimens to the species and genus levels in 62.7% and 81.3%, respectively. The concordant rates were slightly higher when only Candida and Aspergillus are included in the data analysis as 67.2% and 87.2% at the species and genus levels, respectively. In this study, Candida dubliniensis was identified in 15 specimens by PCR/ESI-MS. Among them, 11 were identified as C. albicans and 4 were negative by culture. It is well-known that it is difficult to differentiate C. dubliniensis from C. albicans by conventional commercial identification kits because the two species demonstrate a similar pattern of biochemical reactions (4). It should be noted that the Candida species detected in these BAL fluid specimens might represent colonizing/contamination flora. In addition, among 25 specimens that yielded only one colony or light growth by culture, PCR/ESI-MS detected one or more fungal organisms with genus-level concordance in only seven specimens. With these 25 specimens excluded to avoid potential contamination during the culture processing, PCR/ESI-MS correctly identified 77.1% of the fungi in BAL fluid specimens to the species level and 93.6% to the genus level.

In 243 specimens where fungi were detected only by PCR/ESI-MS, 139 (57.2%) were reported as fungus detected—no identification can be provided. This result was not surprising in this study, because many nonpathogenic fungi can colonize the respiratory tract. These results can be interpreted as false-positive results because the PCR/ESI-MS method can detect nonviable or contaminated fungal DNA introduced during the handling of specimens (9). It was noticed that PCR/ESI-MS also provided quantitative results for each target; whether this DNA load information facilitates the data analysis and interpretation will require further investigation.

The PCR/ESI-MS described in the study possessed overall agreements with culture of 62.7% at the species level and 81.3% at the genus level in specimens in which fungal organisms were detected by both methods. In addition, PCR/ESI-MS detected single and multiple fungal organisms at significantly higher frequencies in a given specimen than culture. While PCR/ESI-MS provides an advanced tool for rapid and sensitive detection and identification of fungal organisms directly from BAL fluid specimens, the clinical relevance of the significantly higher rates of detection of fungal organisms by PCR/ESI-MS than by culture methods merits further investigation. Given that there are no clinical details available and that about 85% of fungal isolates can be considered contaminating flora (23), the clinical relevance of these additionally detected fungal organisms needs to be evaluated prospectively.

One obvious advantage of PCR/ESI-MS is that it can be performed on specimens with bacterial contamination. In our study, there were 53 specimens in which cultures failed because of bacterial overgrowth. In contrast, at least one fungal organism was identified in 26 of these specimens (47.3%) by PCR/ESI-MS. This speeds up the diagnostic procedure by avoiding additional specimen collection and/or decontamination.

In conclusion, the PCR/ESI-MS described in this study possessed promising concordances with culture in specimens in which fungal organisms were detected by both methods. In addition, PCR/ESI-MS detected single and multiple fungal organisms at significantly higher frequencies in a given specimen than culture. Most importantly, PCR/ESI-MS detected potential fungal organisms in specimens in which cultures failed due to bacterial overgrowth. PCR/ESI-MS provides an advanced tool for rapid and sensitive detection and identification of fungal organisms directly from BAL fluid specimens.

ACKNOWLEDGMENTS

R. Ranken, R. Lovari, H. E. Carolan, D. Toleno, and C. Massire are employees of Ibis Biosciences, a subsidiary of Abbott Molecular Inc., the commercial manufacturer of the PCR/ESI-MS technology. Y.-W. Tang was a consultant of Ibis Biosciences during the study period.

Footnotes

Published ahead of print 24 October 2012

REFERENCES

  • 1. Guinea J, Torres-Narbona M, Gijon P, Munoz P, Pozo F, Pelaez T, de Miguel J, Bouza E. 2010. Pulmonary aspergillosis in patients with chronic obstructive pulmonary disease: incidence, risk factors, and outcome. Clin. Microbiol. Infect. 16: 870– 877 [DOI] [PubMed] [Google Scholar]
  • 2. Meersseman W, Lagrou K, Maertens J, Wilmer A, Hermans G, Vanderschueren S, Spriet I, Verbeken E, Van Wijngaerden E. 2008. Galactomannan in bronchoalveolar lavage fluid: a tool for diagnosing aspergillosis in intensive care unit patients. Am. J. Respir. Crit. Care Med. 177: 27– 34 [DOI] [PubMed] [Google Scholar]
  • 3. Meersseman W, Vandecasteele SJ, Wilmer A, Verbeken E, Peetermans WE, Van Wijngaerden E. 2004. Invasive aspergillosis in critically ill patients without malignancy. Am. J. Respir. Crit. Care Med. 170: 621– 625 [DOI] [PubMed] [Google Scholar]
  • 4. Gales AC, Pfaller MA, Houston AK, Joly S, Sullivan DJ, Coleman DC, Soll DR. 1999. Identification of Candida dubliniensis based on temperature and utilization of xylose and alpha-methyl-d-glucoside as determined with the API 20C AUX and Vitek YBC systems. J. Clin. Microbiol. 37: 3804– 3808 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Harun A, Blyth CC, Gilgado F, Middleton P, Chen SC, Meyer W. 2011. Development and validation of a multiplex PCR for detection of Scedosporium spp. in respiratory tract specimens from patients with cystic fibrosis. J. Clin. Microbiol. 49: 1508– 1512 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Stevens DA. 2002. Diagnosis of fungal infections: current status. J. Antimicrob. Chemother. 49(Suppl 1):11–19 [DOI] [PubMed] [Google Scholar]
  • 7. von Lilienfeld-Toal M, Lehmann LE, Raadts AD, Hahn-Ast C, Orlopp KS, Marklein G, Purr I, Cook G, Hoeft A, Glasmacher A, Stuber F. 2009. Utility of a commercially available multiplex real-time PCR assay to detect bacterial and fungal pathogens in febrile neutropenia. J. Clin. Microbiol. 47: 2405– 2410 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Wilson JW, Limper AH, Grys TE, Karre T, Wengenack NL, Binnicker MJ. 2011. Pneumocystis jirovecii testing by real-time polymerase chain reaction and direct examination among immunocompetent and immunosuppressed patient groups and correlation to disease specificity. Diagn. Microbiol. Infect. Dis. 69: 145– 152 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Kaleta EJ, Clark AE, Cherkaoui A, Wysocki VH, Ingram EL, Schrenzel J, Wolk DM. 2011. Comparative analysis of PCR-electrospray ionization/mass spectrometry (MS) and MALDI-TOF/MS for the identification of bacteria and yeast from positive blood culture bottles. Clin. Chem. 57: 1057– 1067 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Kaleta EJ, Clark AE, Johnson DR, Gamage DC, Wysocki VH, Cherkaoui A, Schrenzel J, Wolk DM. 2011. Use of PCR coupled with electrospray ionization mass spectrometry for rapid identification of bacterial and yeast bloodstream pathogens from blood culture bottles. J. Clin. Microbiol. 49: 345– 353 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Baldwin CD, Howe GB, Sampath R, Blyn LB, Matthews H, Harpin V, Hall TA, Drader JJ, Hofstadler SA, Eshoo MW, Rudnick K, Studarus K, Moore D, Abbott S, Janda JM, Whitehouse CA. 2009. Usefulness of multilocus polymerase chain reaction followed by electrospray ionization mass spectrometry to identify a diverse panel of bacterial isolates. Diagn. Microbiol. Infect. Dis. 63: 403– 408 [DOI] [PubMed] [Google Scholar]
  • 12. Chen KF, Rothman RE, Ramachandran P, Blyn L, Sampath R, Ecker DJ, Valsamakis A, Gaydos CA. 2011. Rapid identification viruses from nasal pharyngeal aspirates in acute viral respiratory infections by RT-PCR and electrospray ionization mass spectrometry. J. Virol. Methods 173: 60– 66 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. Eshoo MW, Crowder CD, Li H, Matthews HE, Meng S, Sefers SE, Sampath R, Stratton CW, Blyn LB, Ecker DJ, Tang YW. 2010. Detection and identification of Ehrlichia species in blood by use of PCR and electrospray ionization mass spectrometry. J. Clin. Microbiol. 48: 472– 478 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Maaroufi Y, Heymans C, De Bruyne JM, Duchateau V, Rodriguez-Villalobos H, Aoun M, Crokaert F. 2003. Rapid detection of Candida albicans in clinical blood samples by using a TaqMan-based PCR assay. J. Clin. Microbiol. 41: 3293– 3298 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Spiess B, Buchheidt D, Baust C, Skladny H, Seifarth W, Zeilfelder U, Leib-Mosch C, Morz H, Hehlmann R. 2003. Development of a LightCycler PCR assay for detection and quantification of Aspergillus fumigatus DNA in clinical samples from neutropenic patients. J. Clin. Microbiol. 41: 1811– 1818 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Innings A, Ullberg M, Johansson A, Rubin CJ, Noreus N, Isaksson M, Herrmann B. 2007. Multiplex real-time PCR targeting the RNase P RNA gene for detection and identification of Candida species in blood. J. Clin. Microbiol. 45: 874– 880 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Luo G, Mitchell TG. 2002. Rapid identification of pathogenic fungi directly from cultures by using multiplex PCR. J. Clin. Microbiol. 40: 2860– 2865 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Jang JH, Lee JH, Ki CS, Lee NY. 2012. Identification of clinical mold isolates by sequence analysis of the internal transcribed spacer region, ribosomal large-subunit D1/D2, and beta-tubulin. Ann. Lab. Med. 32: 126– 132 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Kim SH, Jeong HS, Kim YH, Song SA, Lee JY, Oh SH, Kim HR, Lee JN, Kho WG, Shin JH. 2012. Evaluation of DNA extraction methods and their clinical application for direct detection of causative bacteria in continuous ambulatory peritoneal dialysis culture fluids from patients with peritonitis by using broad-range PCR. Ann. Lab. Med. 32: 119– 125 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Vollmer T, Stormer M, Kleesiek K, Dreier J. 2008. Evaluation of novel broad-range real-time PCR assay for rapid detection of human pathogenic fungi in various clinical specimens. J. Clin. Microbiol. 46: 1919– 1926 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21. Ecker DJ, Sampath R, Massire C, Blyn LB, Hall TA, Eshoo MW, Hofstadler SA. 2008. Ibis T5000: a universal biosensor approach for microbiology. Nat. Rev. Microbiol. 6: 553– 558 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Eshoo MW, Whitehouse CA, Nalca A, Zoll S, Ecker JA, Hall TA, Pennella TT, Duncan DD, Desai A, Moradi EK, Rudnick K, Libby B, Ranken R, Sampath R, Hofstadler SA, Ecker DJ, Blyn LB. 2009. Rapid and high-throughput pan-Orthopoxvirus detection and identification using PCR and mass spectrometry. PLoS One 4: e6342 doi:10.1371/journal.pone.0006342 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Limper AH, Knox KS, Sarosi GA, Ampel NM, Bennett JE, Catanzaro A, Davies SF, Dismukes WE, Hage CA, Marr KA, Mody CH, Perfect JR, Stevens DA. 2011. An official American Thoracic Society statement: treatment of fungal infections in adult pulmonary and critical care patients. Am. J. Respir. Crit. Care Med. 183:96– 128 [DOI] [PubMed] [Google Scholar]

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