Literature DB >> 27448413

The use of PCR/Electrospray Ionization-Time-of-Flight-Mass Spectrometry (PCR/ESI-TOF-MS) to detect bacterial and fungal colonization in healthy military service members.

Ryan Vetor1, Clinton K Murray1,2, Katrin Mende1,3, Rachel Melton-Kreft4, Kevin S Akers2,5, Joseph Wenke5, Tracy Spirk4, Charles Guymon5, Wendy Zera1,3, Miriam L Beckius1, Elizabeth R Schnaubelt6, Garth Ehrlich4, Todd J Vento7,8,9.   

Abstract

BACKGROUND: The role of microbial colonization in disease is complex. Novel molecular tools to detect colonization offer theoretical improvements over traditional methods. We evaluated PCR/Electrospray Ionization-Time-of-Flight-Mass Spectrometry (PCR/ESI-TOF-MS) as a screening tool to study colonization of healthy military service members.
METHODS: We assessed 101 healthy Soldiers using PCR/ESI-TOF-MS on nares, oropharynx, and groin specimens for the presence of gram-positive and gram-negative bacteria (GNB), fungi, and antibiotic resistance genes. A second set of swabs was processed by traditional culture, followed by identification using the BD Phoenix automated system; comparison between PCR/ESI-TOF-MS and culture was carried out only for GNB.
RESULTS: Using PCR/ESI-TOF-MS, at least one colonizing organism was found on each individual: mean (SD) number of organisms per subject of 11.8(2.8). The mean number of organisms in the nares, groin and oropharynx was 3.8(1.3), 3.8(1.4) and 4.2(2), respectively. The most commonly detected organisms were aerobic gram-positive bacteria: primarily coagulase-negative Staphylococcus (101 subjects: 341 organisms), Streptococcus pneumoniae (54 subjects: 57 organisms), Staphylococcus aureus (58 subjects: 80 organisms) and Nocardia asteroides (45 subjects: 50 organisms). The mecA gene was found in 96 subjects. The most commonly found GNB was Haemophilus influenzae (20 subjects: 21 organisms) and the most common anaerobe was Propionibacterium acnes (59 subjects). Saccharomyces species (30 subjects) were the most common fungi detected. Only one GNB (nares E. coli) was identified in the same subject by both diagnostic systems.
CONCLUSION: PCR/ESI-TOF-MS detected common colonizing organisms and identified more typically-virulent bacteria in asymptomatic, healthy adults. PCR/ESI-TOF-MS appears to be a useful method for detecting bacterial and fungal organisms, but further clinical correlation and validation studies are needed.

Entities:  

Keywords:  Bacterial; Colonization; Electrospray ionization time-of-flight mass spectrometry; Fungal; Military; Molecular diagnostics; PCR

Mesh:

Year:  2016        PMID: 27448413      PMCID: PMC4957419          DOI: 10.1186/s12879-016-1651-7

Source DB:  PubMed          Journal:  BMC Infect Dis        ISSN: 1471-2334            Impact factor:   3.090


Background

Our understanding of the nature of host-microbe interactions has become increasingly complex, with the line between pathogen and non-pathogen becoming more and more obscure [1]. Individual organism and human factors, in addition to complex interactions between host and pathogen, play significant roles in determining the colonization-infection-disease spectrum [1-6]. Historically, the role of the human microbiome in disease has been poorly understood, partly due to limitations of standard microbiological culture [6-8]. Recently, novel molecular platforms such as PCR/Electrospray Ionization-Time-of-Flight-Mass Spectrometry (PCR/ESI-TOF-MS) have shown potential benefits over standard microbiological culture, including increased throughput and cost savings [9]. PCR/ESI-TOF-MS offers not only microbiologic organism identification, but the capability to detect genetic resistance elements. This molecular tool has also shown high concordance with traditional culture methods in identifying microorganisms in blood cultures [10] and in different orthopedic populations [11, 12]. There have been only a few studies using PCR/ESI-TOF-MS to explore colonization rates, with some published surveillance studies from a burn intensive care unit and orthopedic ward healthcare workers, and preliminary data on staphylococcal colonization in United States military personnel [13, 14]. Given the potential link between colonization and modification of the microbiome to subsequent infections, this pilot study sought to examine bacterial and fungal colonization of healthy individuals using PCR/ESI-TOF-MS, to further understand human microbiome diversity using a newer molecular platform, and to compare gram-negative bacteria (GNB) detection by PCR/ESI-TOF-MS with traditional culture. Five most commonly detected gram-positive bacteria (from healthy service members) by PCR/ESI-TOF-MS Six most commonly isolated gram-negative bacteria (from healthy service members) by PCR/ESI-TOF-MS

Methods

Study population

One hundred one healthy active duty service members presenting to the outpatient Troop Medical Clinic for acute care at Fort Sam Houston, TX were enrolled. Study participants were 18 years and older who had no overseas travel or deployment within the past 6 months, no antibiotic use in the preceding 30 days, and were being seen for non-infectious medical conditions. Written informed consent was obtained from study participants upon enrollment. Individuals were excluded from the study if they were deemed to have an acute or chronic infection that may have altered normal bacterial flora or that involved a proposed anatomic sample site. The study protocol was approved by the San Antonio Military Medical Center (SAMMC) Institutional Review Board. The results presented here are a sub-study of a larger protocol examining various methods for detecting microbial colonization in healthy US military personnel; initial results on methicillin-resistant and methicillin-sensitive Staphylococcus aureus (MRSA and MSSA) and multidrug-resistant (MDR) GNB colonization have been published [14, 15]. Our current study further examines bacterial and fungal colonization of healthy U.S. military individuals, including the correlation of GNB detection by PCR/ESI-TOF-MS and traditional culture.

Specimen collection and processing

Individuals were screened with culture swabs (Copan Stuart liquid media culture, Copan Inc., Brescia, Italy) from various anatomic sites (nares, oropharynx, and groin). Each participant was sampled by application of the swab in a repetitive twisting motion at each anatomic site, firmly brushing the skin or mucosa to ensure transfer of cells onto the swab tip. Samples for PCR/ESI-TOF-MS were frozen at -20o C or lower and transported on dry ice for batched testing to the Center for Genomic Sciences, Allegheny Singer Research Institute, Pittsburgh, PA, USA. A separate set of swabs collected in the same fashion were transported to the SAMMC research microbiology laboratory and underwent immediate processing for microbial culture to identify GNB. The analysis of coagulase-negative Staphylococcus (CNS) and S. aureus detection by traditional culture and PCR/ESI-TOF-MS methods has been published elsewhere [14]. We did not evaluate other gram-positive bacteria, fungus or anaerobes by traditional culture due to cost constraints.

PCR/ESI-TOF-MS

Frozen swabs were thawed after transport, placed in microcentrifuge tubes containing 270 μl of ATL Lysis buffer (Qiagen, Germantown, MD, cat# 19076) and 30 μl proteinase K (Qiagen, cat# 19131) and then incubated at 56 °C for 1 h. Next, 100 μl of a mixture containing 50 μl each of 0.1 mm and 0.7 mm Zirconia beads (Biospec, Bartlesville, OKcat# 11079101z, 11079107zx, respectively) were added to the samples which were then homogenized for 10 min at 25 Hz using a Qiagen Tissuelyser. Nucleic acid from the lysed sample was then extracted using the Qiagen DNeasy kit (Qiagen cat# 69506). 10 μl of each sample was loaded per well onto the BAC detection PCR plate (Abbott Molecular, Carlsbad, CA cat# PN 05 N13-01). The BAC detection plate contains 96 wells each with 16 primers that survey all bacterial organisms by using multiple omnipresent loci (e.g., 16S rDNA sequences) and multiple pluripresent loci (e.g., the tufB gene). The BAC assay has been validated against 613 organisms [9]. The system also detects the presence of several key antibiotic resistance markers: vanA and vanB (vancomycin resistance) in Enterococcus spp., KPC-3 (carbapenem resistance) in GNB, and mecA (methicillin resistance) in Staphylococcus spp. An internal calibrant of synthetic nucleic acid template is also included in each assay, controlling for false negatives (e.g., from PCR inhibitors) and enabling a semi-quantitative analysis of the amount of template DNA present. PCR amplification was performed according to Ecker et al. [9] The PCR products were then desalted in a 96-well plate format and sequentially electrosprayed into a time-of-flight mass spectrometer. The spectral signals were processed to determine the masses of each of the PCR products present with sufficient accuracy to determine the base composition of each amplicon. Using combined base compositions from multiple PCRs, the identities of the pathogens and a semi-quantitative determination of their relative concentrations in the starting sample were established by using a proprietary algorithm which interfaces with the Ibis database of known organisms.

Traditional culture

All isolates were plated onto both Trypticase™ Soy Agar with 5 % sheep blood (sheep blood agar, BBL, Cockeysville, MD, USA) and MacConkey agar (BBL, Cockeysville, MD, USA) in order to isolate aerobic GNB colonies. Colonies grown on MacConkey agar and colonies consistent with gram-negative morphology on sheep blood agar were sub-cultured onto sheep blood agar to assure culture purity and then frozen at -80o C for subsequent evaluation. Frozen isolates underwent two passages on sheep blood agar, followed by automated testing for species-identification and susceptibility via the BD Phoenix Automated Microbiology System (Becton Dickinson and Company, Franklin Lakes, NJ) using NMIC/ID-123 panels according to manufacturer’s guidelines.

Analysis

Organisms were categorized based on taxonomy and morphological features. Basic descriptive statistics were used to summarize the findings using SPSS (IBM®SPSS®Statistics Version 19). Comparison between PCR/ESI-TOF-MS and traditional culture results was only performed on GNB utilizing Spearman’s rank correlation.

Results

Demographics

Three anatomic sites (nares, oropharynx, and groin) of 101 participants were swabbed, with one subject declining the oropharynx swab. The median age of participants was 23 [IQR 22, 23] years, with 69 % being male. PCR/ESI-TOF-MS identified at least one organism in every subject, with a mean number of 11.8 [SD 2.8] organisms per subject. The most commonly deteceted gram positive and gram negative bacteria, by anatomic site, are shown in Figs. 1 and 2. The oropharynx site yielded the highest mean number of organisms, 4.2 [SD 2.0] followed by groin 3.8 [SD 1.4] and nares 3.8 [SD 1.3] (Table 1).
Fig. 1

Five most commonly detected gram-positive bacteria (from healthy service members) by PCR/ESI-TOF-MS

Fig. 2

Six most commonly isolated gram-negative bacteria (from healthy service members) by PCR/ESI-TOF-MS

Table 1

Bacterial and fungal colonization of the nares, oropharynx and groin of 101 healthy service members detected by PCR/ESI-TOF-MS

TotalBacteriaFungi
Aerobic gram-positiveAerobic gram-negativeAnaerobic
Total colonized
 Subjects101101807546
 Organisms11.8 (2.8)8.6 (2.0)1.4 (1.0)1.2 (1.0)0.6 (0.8)
Nares colonization
 Subjects10199315613
 Organisms3.8 (1.3)2.7 (1.3)0.3 (0.5)0.6 (0.6)0.1 (0.4)
Oropharynx colonization
 Subjects9995652237
 Organisms4.2 (2.0)2.6 (1.3)0.9 (0.9)0.3 (0.6)0.4 (0.5)
Groin colonization
 Subjects10110113308
 Organisms3.8 (1.4)3.3 (1.7)0.1 (0.4)0.3 (0.5)0.1 (0.3)

Organisms presented as mean number of organisms per subject (standard deviation)

Bacterial and fungal colonization of the nares, oropharynx and groin of 101 healthy service members detected by PCR/ESI-TOF-MS Organisms presented as mean number of organisms per subject (standard deviation) Overall, aerobic gram-positive bacteria were more prevalent than GNB (870 vs. 140 total isolates, respectively) and were detected from every subject, with a mean number of 8.6 [SD 2.0] organisms, the highest number being detected from groin swabs, 3.3 [SD 3.3] followed by nares 2.7 [SD 1.3] and oropharynx 2.6 [SD 1.3] (Table 1). PCR/ESI-TOF-MS identified 870 aerobic gram-positive bacteria (329 from groin swabs, 275 from nares, and 266 from oropharynx). The most common organisms (341) were CNS with numerous other gram-positive bacteria noted (Table 2). The mecA gene was identified in nearly every subject (96). No resistance elements of vanA and vanB were detected in this study.
Table 2

Number of healthy Soldiers colonized with aerobic gram-positive bacteria according to PCR/ESI-TOF-MS

OrganismSubjectsa Organisms by anatomic site (870 total)
OropharynxNaresGroin
266275329
Abiotrophia defectiva 2200
Abiotrophia elegans 1100
Arthrobacter aurescens 3012
Bacillus cereus 2002
Bacillus clausii 1100
Bacillus coagulans 3300
Corynebacterium accolens 1010
Corynebacterium auriscanis 357127
Corynebacterium diphtheria 1100
Corynebacterium falsenii 160115
Corynebacterium jeikeium 1001
Corynebacterium pseudodiphtheriticum 38 (39)1353
Corynebacterium sundsvallense 1001
Corynebacterium urealyticum 1010
Corynebacterium spp.11038
Enterococcus faecalis 1001
Enterococcus faecium 4310
Finegoldia magna 18 (19)577
Gemella haemolysans 1100
Gemella sanguinis 4310
Granulicatella adiacens 5221
Lactobacillus acidophilus 1100
Lactobacillus casei 3300
Lactobacillus crispatus 1001
Lactobacillus delbrueckii 5122
Lactobacillus gasseri 1001
Lactobacillus helveticus 4310
Lactobacillus johnsonii 2101
Lactobacillus plantarum 8161
Lactobacillus salivarius 18 (19)1153
Lactobacillus sp.1100
Lactobacillus vaccinostercus 1100
Lysinibacillus sphaericus 1010
Micrococcus luteus 17 (19)2314
Mycobacterium ulcerans 1010
Nocardia asteroides 45 (50)13019
Nocardia farcinica 1001
Staphylococcus aureus 58 (80)221345
Staphylococcus auricularis 1001
Staphylococcus capitis/caprae 7 (9)432
Staphylococcus epidermidis 99 (201)468768
Staphylococcus haemolyticus 7070
Staphylococcus hominis 80 (103)23773
Staphylococcus lugdunensis 4121
Staphylococcus saprophyticus 9243
Staphylococcus warneri 3 (4)202
Staphylococcus xylosus 1001
Staphylococcus epidermidis/haemolyticus 1100
Staphylococcus epidermidis/haemolyticus/hominis 1100
Stomatococcus mucilaginosus 26 (26)2123
Streptococcus agalactiae 27 (34)61414
Streptococcus anginosus 1100
Streptococcus constellatus 1010
Streptococcus cristatus 2200
Streptococcus gordonii 8440
Streptococcus mutans 3300
Streptococcus oralis 5500
Streptococcus parasanguinis 4310
Streptococcus peroris 8800
Streptococcus pneumoniae 54 (57)46110
Streptococcus porcinus 2101
Streptococcus pyogenes 4211
Streptococcus sanguinis 4220
Streptococcus suis 8512
Streptococcus spp.9621
Streptococcus oralis/sanguinis 2200
Streptococcus parasanguinis/pneumoniae 1100

anumber of organisms listed in ( ) if not same as number of subjects

Number of healthy Soldiers colonized with aerobic gram-positive bacteria according to PCR/ESI-TOF-MS anumber of organisms listed in ( ) if not same as number of subjects

Aerobic GNB

Aerobic GNB were also commonly found by PCR/ESI-TOF-MS in 80 subjects, with a mean number of 1.4 [SD 1.0] organisms, primarily the oropharynx followed by nares and groin (Table 1). In total, 140 aerobic GNB were identified (94 from oropharynx swabs, 32 from nares, and 14 from groin). The most common GNB identified were Neisseria spp. (59), followed by Haemophilus influenzae (21), Moraxella spp. (19), and Escherichia coli (7) (Table 3). As was seen with gram-positive bacteria, several GNB known to cause human disease were frequently found (Table 3). No genes commonly associated with GNB resistance were detected by PCR/ESI-TOF-MS.
Table 3

Number of healthy Soldiers colonized with aerobic gram-negative bacteria according to PCR/ESI-TOF-MS

OrganismSubjectsa Organisms by anatomic site (140 total)
OrophaynxNaresGroin
943214
Acinetobacter spp.3201
Actinobacillus pleuropneumoniae 1100
Akkermansia muciniphila 1010
Bordetella petrii 1001
Brevundimonas diminuta 1100
Burkholderia cenocepacia 2011
Buttiauxella spp.2200
Campylobacter concisus 1100
Campylobacter fetus 1100
Campylobacter hyointestinalis 1100
Campylobacter mucosalis 2200
Eikenella corrodens 1010
Enterobacter aerogenes 1001
Escherichia coli 7430
Haemophilus influenzae 20 (21)1830
Haemophilus sp.1100
Klebsiella pneumoniae 4022
Moraxella atlantae 2002
Moraxella catarrhalis 9 (10)190
Moraxella catarrhalis/nonliquefaciens 4 (5)140
Moraxella lacunata 1010
Moraxella sp.1100
Mycoplasma hominis 1001
Neisseria canis 19 (20)1721
Neisseria flava 13922
Neisseria flavescens 3300
Neisseria gonorrhoeae 2101
Neisseria meningitidis 2200
Neisseria mucosa 3300
Neisseria sicca 1100
Neisseria weaveri 1001
Neisseria spp. 4400
Pasteurella multocida 6510
Porphyromonas endodontalis 1100
Proteus mirabilis 3120
Raoultella planticola 2200
Rickettsia sp.1100
Salmonella agona 1100
Salmonella enterica 1100
Salmonella matopeni 2200
Salmonella spp.2200
Tatumella ptyseos 1100

anumber of organisms listed in ( ) if not same as number of subjects

Number of healthy Soldiers colonized with aerobic gram-negative bacteria according to PCR/ESI-TOF-MS anumber of organisms listed in ( ) if not same as number of subjects

Anaerobic bacteria

Multiple anaerobic bacteria were detected by PCR/ESI-TOF-MS in 75 subjects, with a mean number of 1.2 [SD 0.98] organisms; the most common site being the nares (56 subjects – mean number of 0.6 [SD 0.6] organisms) (Table 1). In total, 96 anaerobic gram-positive bacteria (6 from oropharynx swabs, 57 from nares, and 33 from groin) and 27 anaerobic GNB were identified (23 from oropharynx swabs, 3 from nares, and 1 from groin). Propionibacterium acnes was the most commonly identified anaerobic gram-positive bacteria (70) (Table 4).
Table 4

Number of healthy Soldiers colonized with anaerobic bacteria according to PCR/ESI-TOF-MS

OrganismSubjectsa Organisms by anatomic site
OropharynxNaresGroin
Total gram-negative organisms (27)2331
 Bacteroides capillosus 7 (8)710
 Bacteroides fragilis 3 (4)301
 Bacteroides thetaiotaomicron 5410
 Fusobacterium necrophorum 2200
 Fusobacterium nucleatum 6600
 Treponema denticola 2110
Total gram-positive organisms (96)65733
 Propionibacterium acnes 59 (70)24919
 Propionibacterium granulosum 2101
 Bifidobacterium inopinatum 12084
 Bifidobacterium longum 1001
 Bifidobacterium subtile 7007
 Bifidobacterium thermophilum 1001
 Clostridium beijerinckii 2200
 Clostridium novyi 1100

anumber of organisms listed in ( ) if different from number of subjects

Number of healthy Soldiers colonized with anaerobic bacteria according to PCR/ESI-TOF-MS anumber of organisms listed in ( ) if different from number of subjects PCR/ESI-TOF-MS identified fungal species in 46 subjects with a mean of 0.60 [SD 0.79] organisms per individual (Table 1). A total of 61 fungal organisms, with 39 in the oropharynx, 14 nares, and 8 groin were detected (Table 5).
Table 5

Number of healthy Soldiers colonized with fungi according to PCR/ESI-TOF-MS

OrganismSubjectsa Organisms by Anatomic Site (61 total)
OropharynxNaresGroin
39148
Alternaria alternate 11 (15)2103
Aureobasidium pullulans 3111
Candida albicans 6501
Candida parapsilosis 3 (5)311
Candida tropicalis 1100
Saccharomyces paradoxus 1100
Saccharomyces cerevisiae/paradoxus 29 (30)2622

anumber of organisms listed in ( ) if not same as number of subjects

Number of healthy Soldiers colonized with fungi according to PCR/ESI-TOF-MS anumber of organisms listed in ( ) if not same as number of subjects

PCR/ESI-TOF-MS compared with traditional culture for gram-negative bacteria

Traditional culture identified colonization of 34 sites from 23 subjects with GNB. The most commonly recovered organism was Pseudomonas aeruginosa with 4 isolates, all of which were from oropharyngeal sites. Other GNB included E.coli (3 isolates), K. pneumoniae (3 isolates), and Serratia marcescens (3 isolates). A complete list of less common GNB is shown in Table 6. Traditional culture also did not detect any MDR GNB.
Table 6

Comparison of gram-negative bacterial colonization by traditional culture and PCR/ESI-TOF-MS per subject

OrganismNaresOropharynxGroin
CultureESI-MSCultureESI-MSCultureESI-MS
Total organisms471710134
Acinetobacter baumannii-calcoaceticus complex001000
Acinetobacter lwoffii 001010
Acinetobacter species 000201
Alcaligenes sp.001000
Citrobacter sp.000000
Enterobacter aerogenes 100011
Enterobacter cloacae 001000
Escherichia coli 230410
Klebsiella oxytoca 001010
Klebsiella pneumoniae 021022
Moraxella sp.000100
Ochrobactrum anthropi 002000
Pantonea agglomerans 000020
Proteus mirabilis 020100
Pseudomonas aeruginosa 004000
Pseudomonas fluorescens 001000
Pseudomonas oryzihabitans 000010
Pseudomonas species001000
Pseudomonas stutzeri 000010
Salmonella spp.000200
Shigella flexneri 000010
Serratia marcescens 101010
Shewanella putrefaciens 000010
Stenotrophomonas maltophilia 002000
Comparison of gram-negative bacterial colonization by traditional culture and PCR/ESI-TOF-MS per subject PCR/ESI-TOF-MS found more GNB isolates than traditional culture (80 subjects versus 23 subjects). When comparing the organisms found by PCR/ESI-TOF-MS and traditional culture, only one non-MDR E. coli was identified by both systems from the same subject and collection site (nares). Similarly, neither method detected any MDR GNB. Spearman correlation between GNB on traditional culture versus PCR/ESI-TOF-MS for nares was 0.68, oropharynx was 0.44, and groin was 0.13.

Discussion

Pathogen detection has several limitations within the current practices of traditional microbiological methods. Newer molecular diagnostic methods, such as PCR/ESI-TOF-MS, offer potential advantages over traditional microbiological methods in detecting microbial pathogens. One potential limitation of traditional microbiology is the inability to culture specific organisms in the laboratory due to difficulty in replicating the perfect media for growth while molecular platforms, such as PCR/ESI-TOF-MS, circumvent this by focusing on the genetic elements present in a sample for organism identification. In this study, PCR/ESI-TOF-MS detected many clinically relevant bacteria (e.g., Neisseria meningitidis, N. gonorrhoeae, N. asteroides, S. pneumoniae, Fusobacterium necrophorum) that are typically associated with virulent infections in a population without evidence of clinical disease, and identified multiple isolates of more fastidious organisms such as N. asteroides and several nutritionally deficient Streptococcus spp. PCR/ESI-TOF-MS detected large numbers of isolates of expected commensal organisms, especially among the aerobic gram-positive bacteria, with CNS being most commonly identified. The carriage rate of S. pneumoniae using standard microbiological methods has previously been reported in adult populations, varying in reported prevalence from 3.7 to 38 % [16, 17]. Among a healthy, primarily young adult population in this study, the S. pneumoniae carriage rate was found to be 53.5 %. This is significantly higher than previously reported and is similar to carriage rates previously shown in young children populations (53–67 %) [16, 17] S. aureus was also commonly found in 57.4 % of individuals sampled in this study, consistent with previously reported colonization rates between 32.7 and 53 % [18-23] Streptococcus agalactiae was found on 26.7 % of subjects in this study. While S. agalactiae has been evaluated previously in vaginal and anorectal colonization studies; there have been limited colonization studies looking at carriage rates in other anatomic sites. The reported colonization rate has varied from 8.5 to 32.9 % depending on the study population and geographic location [24-28]. In addition to colonization with expected organisms, PCR/ESI-TOF-MS also detected traditionally pathologic aerobic gram-positive bacteria such as N. asteroides in a high percentage of the study population in absence of clinical disease. N. asteroides, which traditionally has not been thought of as part of the body’s normal flora [29], was detected in 44.5 % of the study population, most commonly from the nares (30 isolates) and groin (19 isolates). While this is surprisingly high, Nocardia has been difficult to grow and identify by traditional culture historically and, for this reason, other direct molecular detection methods have been evaluated for enhanced identification of Nocardia [30, 31]. Case series have previously shown Nocardia colonization of the respiratory tract without clinical or radiographic findings consistent with disease, however all these patients had underlying lung disease [32, 33]. PCR/ESI-TOF-MS also found a small number of Streptococcus species, formerly known as nutritionally deficient Streptococci, such as Granulicatella adiacens, G. sanguinis, Abiotrophia defectiva, Gemella haemolysans, A. elegans which, similar to N. asteroides, are difficult to isolate but associated with disease including endocarditis. Although infrequently studied, Abiotrophia, Granulicatella, and Gemella have been shown, using molecular methods, to account for a significant part of the human oral microbiome [7, 34]. Genetic resistance elements common to gram-positive bacteria were also examined, and the mecA gene was found in nearly every subject (96/101 subjects). Staphylococcus resistance was felt to be a broader study question comparing PCR/ESI-TOF-MS with detection by traditional culture, and has been previously published; therefore, the data are not presented in this manuscript [14]. Other specific genetic markers of resistance, such as the vanA and vanB genes, were not identified in our study isolates. The significance of these resistance markers in terms of clinical diagnosis and therapy is unclear. Clinical decision making regarding decolonization might be affected by the presence of genetic resistance elements, particularly if they are transferred between pathogens co-located on the body. Aerobic GNB findings were similar to those of gram-positive bacteria, such as PCR/ESI-TOF-MS detected large numbers of expected colonizing organisms (e.g., H. influenzae and Moraxella catarrhalis), with fewer numbers of organisms associated with clinical virulence in healthy individuals. In this study of healthy military personnel, the H. influenzae carriage rate was determined to be 19.8 % and the M. catarrhalis carriage rate was 8.9 %. In a previous carriage study of H. influenzae and M. catarrhalis in healthy, asymptomatic individuals, adult carriage rates were 23 and 17 %, respectively [15]. PCR/ESI-TOF-MS also identified important GNB human pathogens such as Burkholderia cenocepacia, N. gonorrhoeae, N. meningitides, and Rickettsia sp. which again are not thought of as traditional colonizing organisms. No genetic resistance elements for GNB were found in this study. While PCR/ESI-TOF-MS did identify some unexpected GNB, it identified only a few Acinetobacter spp. (3 subjects) and no P. aeruginosa, which are two examples of potential MDR organisms. There are limited numbers of studies using similar populations, however a study looking at surveillance of organisms in a burn intensive care unit and orthopedic ward found a higher prevalence of Acinetobacter and P. aeruginosa [13]. While outpatient colonization rates of A. baumannii-calcoaceticus (ABC) have been variable, U.S. Army soldiers without significant healthcare exposure have been shown to have lower carriage rates, whereas hospitalized soldiers have much higher rates of colonization [15, 35–38]. Similar to aerobic bacteria, anaerobic bacteria and fungi known to be members of the colonizing human microbiota were found with PCR/ESI-TOF-MS. P. acnes was the most commonly detected anaerobic gram-positive bacteria, Bacteroides spp. the most common anaerobic GNB, and Saccharomyces cerevisiae/paradoxus the most common fungus. Notably, Fusobacterium spp., commonly thought to be pathogenic organisms, were isolated in 8 asymptomatic, healthy subjects. A limitation of PCR/ESI-TOF-MS in this study, that may warrant further evaluation prior to broader application, was the limited anatomic site-correlation between screening methods. Only one pathogen was identified by both systems in the same subject from the same anatomic site (E.coli from the nares). This discordance has been observed elsewhere, with one study reporting a relatively high false negative rate with PCR/ESI-MS when trying to resolve mixtures [39]. There are several potential reasons for this discordance. With molecular platforms, such as PCR/ESI-TOF-MS, there is a greater uncertainty as to what is being sampled. Some investigators have suggested a role for preferential amplification, where the DNA primers are saturated from the most abundant organisms present, causing organisms in smaller quantity to be missed [40]. Another limitation is that we did not screen for all gram-positive bacteria, fungi, or anaerobes with traditional culture for comparison. In addition, this pilot study also evaluated only a limited number of anatomic sites per individual, which may have led to an underestimate of the total number and diversity of potential isolates from our study participants – in fact microbiome studies have identified a high degree of heterogeneity among nearly all anatomic sites. The lack of additional confirmatory tests (e.g., a second molecular diagnostic platform) to validate the PCR/ESI-TOF-MS findings is also a potential study limitation. Furthermore, a limited number of subjects were examined in one particular environment and study participants were only screened at a single time point, limiting our ability to determine if individuals were only transiently colonized. Future studies evaluating individuals over a period of time would be helpful in determining the incidence and prevalence of true colonization. Validation of this molecular method as a colonization screening tool for a broad array of pathogens might be particularly useful for patients at higher risk for infection, such as immunosuppressed or burn patients.

Conclusions

In summary, the PCR/ESI-TOF-MS detected large numbers of isolates of expected commensal organisms in a population of healthy, asymptomatic individuals, but it also detected many bacteria (e.g., N. meningitidis, N. gonorrhoeae, N. asteroides, S. pneumoniae, Fusobacterium spp.) that are often associated with clinically virulent infections suggesting that presence alone does not trigger virulence [1]. This molecular platform identified higher carriage percentages for pathogenic bacteria than have been previously shown in the literature, and identified multiple organisms that have traditionally been difficult to culture in the laboratory. Additional advantages of this molecular platform are the potential for increased sample throughput with decreased processing times. Further validation with confirmatory molecular technologies should be performed to ascertain the clinical significance of identified organisms and appropriate clinical application.

Abbreviations

GNB, gram negative bacteria; MRSA, methicillin-resistant Staphylococcus aureus; MSSA, methicillin-susceptible Staphylococcus aureus; PCR/ESI-TOF-MS, polymerase chain reaction/electrospray ionization-time-of-flight-mass spectrometry
  40 in total

Review 1.  Host-pathogen interactions: basic concepts of microbial commensalism, colonization, infection, and disease.

Authors:  A Casadevall; L A Pirofski
Journal:  Infect Immun       Date:  2000-12       Impact factor: 3.441

Review 2.  Has the use of molecular methods for the characterization of the human oral microbiome changed our understanding of the role of bacteria in the pathogenesis of periodontal disease?

Authors:  William Geoffrey Wade
Journal:  J Clin Periodontol       Date:  2011-03       Impact factor: 8.728

3.  Acinetobacter skin colonization of US Army Soldiers.

Authors:  Matthew E Griffith; Julia M Ceremuga; Michael W Ellis; Charles H Guymon; Duane R Hospenthal; Clinton K Murray
Journal:  Infect Control Hosp Epidemiol       Date:  2006-06-12       Impact factor: 3.254

4.  The human oral microbiome.

Authors:  Floyd E Dewhirst; Tuste Chen; Jacques Izard; Bruce J Paster; Anne C R Tanner; Wen-Han Yu; Abirami Lakshmanan; William G Wade
Journal:  J Bacteriol       Date:  2010-07-23       Impact factor: 3.490

5.  Nocardiosis at the turn of the century.

Authors:  Maricela Valerio Minero; Mercedes Marín; Emilia Cercenado; Pablo Martín Rabadán; Emilio Bouza; Patricia Muñoz
Journal:  Medicine (Baltimore)       Date:  2009-07       Impact factor: 1.889

6.  Association of bacterial colonization at the time of presentation to a combat support hospital in a combat zone with subsequent 30-day colonization or infection.

Authors:  Robert L Kaspar; Matthew E Griffith; Paul B Mann; Devon J Lehman; Nicholas G Conger; Duane R Hospenthal; Clinton K Murray
Journal:  Mil Med       Date:  2009-09       Impact factor: 1.437

7.  Streptococcus agalactiae (Group B Streptococci) carriage in late pregnancy in Kuwait.

Authors:  Noora Al-Sweih; Sitrat Maiyegun; Michal Diejomaoh; Vincent Rotimi; Fatma Khodakhast; Nahida Hassan; Susan George; Saba Baig
Journal:  Med Princ Pract       Date:  2004 Jan-Feb       Impact factor: 1.927

8.  Comparison of PCR/electron spray ionization-time-of-flight-mass spectrometry versus traditional clinical microbiology for active surveillance of organisms contaminating high-use surfaces in a burn intensive care unit, an orthopedic ward and healthcare workers.

Authors:  Heather C Yun; Rachael E Kreft; Mayra A Castillo; Garth D Ehrlich; Charles H Guymon; Helen K Crouch; Kevin K Chung; Joseph C Wenke; Joseph R Hsu; Tracy L Spirk; J William Costerton; Katrin Mende; Clinton K Murray
Journal:  BMC Infect Dis       Date:  2012-10-10       Impact factor: 3.090

9.  Comprehensive biothreat cluster identification by PCR/electrospray-ionization mass spectrometry.

Authors:  Rangarajan Sampath; Niveen Mulholland; Lawrence B Blyn; Christian Massire; Chris A Whitehouse; Nicole Waybright; Courtney Harter; Joseph Bogan; Mary Sue Miranda; David Smith; Carson Baldwin; Mark Wolcott; David Norwood; Rachael Kreft; Mark Frinder; Robert Lovari; Irene Yasuda; Heather Matthews; Donna Toleno; Roberta Housley; David Duncan; Feng Li; Robin Warren; Mark W Eshoo; Thomas A Hall; Steven A Hofstadler; David J Ecker
Journal:  PLoS One       Date:  2012-06-29       Impact factor: 3.240

Review 10.  Host- and microbe determinants that may influence the success of S. aureus colonization.

Authors:  Mona Johannessen; Johanna E Sollid; Anne-Merethe Hanssen
Journal:  Front Cell Infect Microbiol       Date:  2012-05-04       Impact factor: 5.293

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  4 in total

1.  Clinical Assessment of a Nocardia PCR-Based Assay for Diagnosis of Nocardiosis.

Authors:  Claire Rouzaud; Véronica Rodriguez-Nava; Emilie Catherinot; Frédéric Méchaï; Emmanuelle Bergeron; Eric Farfour; Anne Scemla; Sylvain Poirée; Christophe Delavaud; Daniel Mathieu; Stéphane Durupt; Fabrice Larosa; Jean-Philippe Lengelé; Jean-Louis Christophe; Felipe Suarez; Olivier Lortholary; David Lebeaux
Journal:  J Clin Microbiol       Date:  2018-05-25       Impact factor: 5.948

2.  Nocardia colonization in contrast to nocardiosis: a comparison of patients' clinical characteristics.

Authors:  Ili Margalit; Khitam Muhsen; Yaara Ben Ari; Haim Ben-Zvi; Yael Shostak; Ilan Krause; Elad Goldberg
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2019-12-20       Impact factor: 3.267

3.  Nocardia polymerase chain reaction (PCR)-based assay performed on bronchoalveolar lavage fluid after lung transplantation: A prospective pilot study.

Authors:  Julien Coussement; David Lebeaux; Najla El Bizri; Vincent Claes; Michel Kohnen; Deborah Steensels; Isabelle Étienne; Hélène Salord; Emmanuelle Bergeron; Veronica Rodriguez-Nava
Journal:  PLoS One       Date:  2019-02-25       Impact factor: 3.240

4.  Proteome-Based Serotyping of the Food-Borne Pathogens Salmonella Enterica by Label-Free Mass Spectrometry.

Authors:  Xixi Wang; Chen Chen; Yang Yang; Lian Wang; Ming Li; Peng Zhang; Shi Deng; Shufang Liang
Journal:  Molecules       Date:  2022-07-06       Impact factor: 4.927

  4 in total

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