Research Article
1 June 2014

Massive Parallel Sequencing Provides New Perspectives on Bacterial Brain Abscesses

ABSTRACT

Rapid development within the field of massive parallel sequencing (MPS) is about to bring this technology within reach for diagnostic microbiology laboratories. We wanted to explore its potential for improving diagnosis and understanding of polymicrobial infections, using bacterial brain abscesses as an example. We conducted a prospective nationwide study on bacterial brain abscesses. Fifty-two surgical samples were included over a 2-year period. The samples were categorized as either spontaneous intracerebral, spontaneous subdural, or postoperative. Bacterial 16S rRNA genes were amplified directly from the specimens and sequenced using Ion Torrent technology, with an average of 500,000 reads per sample. The results were compared to those from culture- and Sanger sequencing-based diagnostics. Compared to culture, MPS allowed for triple the number of bacterial identifications. Aggregatibacter aphrophilus, Fusobacterium nucleatum, and Streptococcus intermedius or combinations of them were found in all spontaneous polymicrobial abscesses. F. nucleatum was systematically detected in samples with anaerobic flora. The increased detection rate for Actinomyces spp. and facultative Gram-negative rods further revealed several species associations. We suggest that A. aphrophilus, F. nucleatum, and S. intermedius are key pathogens for the establishment of spontaneous polymicrobial brain abscesses. In addition, F. nucleatum seems to be important for the development of anaerobic flora. MPS can accurately describe polymicrobial specimens when a sufficient number of reads is used to compensate for unequal species concentrations and principles are defined to discard contaminant bacterial DNA in the subsequent data analysis. This will contribute to our understanding of how different types of polymicrobial infections develop.

INTRODUCTION

Our understanding of polymicrobial infections has been hindered by our limited possibilities for describing them. Recent investigations of bacterial brain abscesses using universal amplification of the bacterial 16S rRNA gene, followed by Sanger sequencing of cloned amplicons, have revealed that only a fraction of the bacteria present are identified by culture (1, 2). Nevertheless, this approach has limitations when it comes to detecting smaller subpopulations in a multispecies community, unless very high numbers of clones are sequenced (3). This is problematic, since the species structure of an abscess may change over time and pathogens important for establishing the infection potentially remain at only low concentrations in the more mature abscesses. Furthermore, the species that are important for maintaining and expanding the abscess might primarily exist close to the abscess wall and do not necessarily dominate in the pus obtained by aspiration. Rapid development within the field of massive parallel sequencing technologies (MPS) is about to provide the diagnostic laboratories with tools that can characterize even the most complex microbial communities. The aim of the present study was to use recent advances within this field to conduct the most thorough characterization of bacterial brain abscesses to date. By combining a high number of reads per sample with a nationwide collection and systematic classification of specimens, we sought to recognize microbial patterns and start delineating a pathogenesis for spontaneous polymicrobial brain abscesses. We further address general matters, like the depth of analysis needed for reliable characterization of polymicrobial infections, and define a new sample-specific cutoff for differentiating sample bacterial DNA from background reagent bacterial DNA in MPS protocols.

MATERIALS AND METHODS

Population.

We prospectively collected material from bacterial brain abscesses in Norway over a 2-year period, from March 2011 to March 2013. Norway holds a three-level hierarchical hospital structure. All five university clinics with a neurosurgical department participated in the study, thus covering the whole population of Norway (5,000,000 people).

Sample processing.

The samples were investigated by standard culture-based routine diagnostics at the hospital of origin. Residual material was sent to Haukeland University Hospital for parallel characterization using a modified direct 16S rRNA sequencing protocol (4) based on Sanger technology. After sample inclusion ended, PCR- and/or culture-positive samples were reanalyzed using massive parallel sequencing of the bacterial 16S rRNA gene, with an average coverage of 500,000 reads per sample.
Pre-PCR treatment of samples was performed as described previously (5). Briefly, bacterial cells were mechanically disrupted using a FastPrep machine (Cepheid, Sunnyvale, CA), followed by DNA extraction and purification on a MagNA Pure compact automated extractor (Roche, Mannheim, Germany). A negative control containing glass beads, lysis buffer, and 400 μl PCR-grade water was processed in parallel with all samples.
The PCRs and oligonucleotides used in this study are listed in Table 1. All samples were screened for bacterial DNA using a real-time universal 16S rRNA-PCR, performed as described previously (6). A sample was defined as positive if the fluorescence threshold cycle (CT) was reached three or more cycles ahead of the negative control (ΔCT > 3) (5, 7). Subsequently, positive samples were reamplified using a set of three group-specific PCRs targeting aerobic Gram-positive, aerobic Gram-negative, and anaerobic bacteria, as described previously (4). The group-specific PCRs, combined with Sanger sequencing and software for analysis of mixed sequencing chromatograms (8), enable next-day results with a detection limit of up to nine species per sample. The tolerance for concentration differences is about 1:1,000 for species targeted by different primer sets (e.g., one Gram-positive and one Gram-negative bacterium) but is reduced to about 1:10 for species targeted by the same primer set (e.g., two different Gram-positive bacteria).
TABLE 1
TABLE 1 Primers used in this study
Primer type/nameaSequencecReference or source
Universal real-time PCR (8–528, V1+V2+V3)  
    16SDPO-forward5′-AGAgTTTgATCMTGGCTCAIIIIIAACGCT-3′Kommedal et al. (6)
    16SDPO-reverse5′-CGCGGCTGCTGGCAIIIAITTRGC-3′ 
Group-specific PCRs (11–535, V1+V2+V3)  
    Group A-forward (A-F)5′-GTTtGATCMTGGCTCAGRaC-3′Kommedal et al. (4)
    Group B-forward (B-F)5′-GTTtGATCMTGGCTCAGAkTG-3′ 
    Group C-forward (C-F)5′-AGTTTGATCMTGGCTCAGGaT-3′ 
    Groups A, B, C-reverse (pD)5′-GTATTACCGCGGCTGCTG-3′Edwards et al. (34)
Ion Torrent amplicon generation (43–336, V1+V2)  
    16S(A+B)-Fb5′-AKGCYTAACACATGCAAGT-3′This study
    16S(C+M)-Fb5′-GTGCCTAAYACATGCAWGT-3′ 
    16S(T)-Fb5′-CGTCTTAAGCATGCAAGT-3′ 
    16S_320-R5′-CTGGDCCGTRTCTCAGT-3′ 
a
Information in parentheses indicates amplicon positions on the Escherichia coli 16S rRNA gene and the hypervariable regions covered (35).
b
In order to prevent amplification bias, a mixture of three forward primers was used to cover for known sequence variations in the 5′ end of the forward primer binding site on the 16S rRNA gene.
c
Lowercase letters in the primer sequences indicate locked nucleic acids (LNA). “I” in primer sequences represents deoxyinosine.
Sanger sequencing was done as described previously (4), except that for all three group-specific PCRs, the 16SDPO-F and 16SDPO-R primers were used for the cycle sequencing reactions.
Massive parallel sequencing was performed using the Ion Torrent PGM system (Life Technologies, Foster City, CA). Following amplification of the variable areas V1 and V2 of the bacterial 16S rRNA gene (see supplemental material), the samples were bar coded and pooled in groups of eight before sequencing with the Ion PGM sequencing 400 kit and the 318 Chip version 2 (see supplemental material).

Sanger chromatogram analysis.

Mixed sequencing chromatograms were analyzed using the RipSeq mixed Web application (iSentio, Bergen, Norway). Nonmixed chromatograms were analyzed with a standard BLAST search against GenBank using the RipSeq single interface (iSentio).

Ion Torrent data analysis.

Bar code-separated FASTQ files were individually uploaded to the RipSeq next-generation sequencing (NGS) preprocessor (iSentio). This software allows for the removal of short reads and primer trimming before identical reads are collapsed into separate groups that are subsequently clustered into operational taxonomical units (OTUs) based on a settable similarity threshold. The most dominant sequence variant from each OTU is selected and listed together with the representative sequences from the other OTUs of that sample in a FASTA file. This file was uploaded to the RipSeq single software that permits bulk BLAST searches against the curated RipSeq 16S human pathogen database and GenBank. The most efficient preprocessing was obtained by clustering at 98% similarity and reject OTUs containing <20 sequences.

Sample-specific cutoff for a valid species identification using MPS.

The high numbers of sequencing reactions in MPS can result in the cosequencing of background bacterial DNA from the reagents, even in strongly positive samples. From the real-time universal PCR, we recorded the threshold cycle values (CT) for the positive samples and their corresponding negative controls and used the distance ΔCT (CTnegative controlCTsample) to calculate a sample-specific cutoff for differentiating between relevant sample-associated bacterial species and contaminant bacterial species. Given that one PCR cycle represents a doubling of the target DNA, a positive sample will contain 2ΔCT times more target DNA than the negative control. Including the same 8-fold (3 cycles = 23) safety margin used for differentiating positive and negative samples in the universal 16S real-time PCR, a sample yielding q valid reads will contain (q/2ΔCT) × 8 reads that might represent background DNA. Consequently, for each sample, bacterial species represented by fewer reads than this were ignored (see Table S1 in the supplemental material).

RESULTS

During the study period, we received sample material from 56 patients. Four samples were rejected due to fungal etiologies. The remaining 52 samples were divided into three categories: spontaneous brain abscesses (n = 37), spontaneous subdural infections (n = 3), and postoperative infections (n = 12). Six additional culture-positive specimens (five spontaneous brain abscesses and one postoperative infection) were registered by the participating laboratories but not included either because of too-small remaining specimen volumes or because of administrative failures.
Forty-three specimens were available for Ion Torrent analysis (31 spontaneous abscesses, three spontaneous subdural infections, and nine postoperative infections). The detailed Ion Torrent results for the 31 available spontaneous brain abscesses, including sample-specific cutoffs, number of reads per species, and rejected species are provided in Table S1 in the supplemental material. The average number of reads per sample was 535,635. After removal of the short reads (<200 bp) and chimeras, an average of 245,600 valid reads (q) remained (range, 81,836 to 736,566; median, 229,938).
An overview of all 37 spontaneous brain abscesses, including a comparison of the identifications made by the three available methods, is given in Table 2. A summary of all the detected bacterial species is provided in Table 3. Among the 160 species identifications from the 31 spontaneous abscesses available for MPS, 98 (61%) were detected by the modified Sanger approach, and 49 (31%) were successfully cultured. Two identifications were made exclusively by culture (one Mycobacterium tuberculosis and one Campylobacter gracilis). Characterizations and results for the postoperative infections and the subdural infections are summarized in Table S2 in the supplemental material.
TABLE 2
TABLE 2 Sample and results overview for spontaneous brain abscesses (n = 37)
IDaSex/age (yr)bLoc/size (mm)cRisk factordResults for:AbiOcj
Ion Torrent identificationeSanger sequencinghCultureh
2F/51F/21DentalActinomyces meyeri++NoneA
    Aggregatibacter aphrophilus++  
    Campylobacter gracilis+   
    Campylobacter rectus    
    Eikenella corrodens+   
    Fusobacterium nucleatum++  
    Parvimonas sp. HOT-110+   
3M/44F/46DentalActinomyces georgiae  NoneA
   SinusitisA. meyeri+   
    A. aphrophilus+   
    C. gracilis    
    Eubacterium brachy+   
    Fusobacterium sp. HOT-203f    
    Parvimonas micra    
    Parvimonas sp. HOT-D94+   
    Streptococcus intermedius +  
4M/2F/58EndocarditisC. rectus+ CTA
   Tonsillectomy 5 wk beforeFusobacterium sp. HOT-203+ MZ 
    P. micra    
    Prevotella nigrescens    
    S. intermedius++  
6M/61T/26MastoiditisStreptococcus pneumoniae+PCA
       MZ 
       CL 
7M/81T/P/ODentalNAF. nucleatum CIA
     S. intermedius+  
9M/52T/43UnknownA. meyeri++NoneA
    A. aphrophilus++  
    Anaeroglobus geminatus    
    F. nucleatum+   
    P. micra+   
    Parvimonas sp.    
    Streptococcus constellatus +  
11M/62C/33DentalNAA. aphrophilus+PVA
   Lung empyema     
12M/37PUnknownEubacterium nodatum  NoneA
    Filifactor alocis+   
    F. nucleatum++  
17M/38F/24DentalNAS. intermedius+NoneA
21M/69P/27UnknownA. meyeri  NoneA
    A. georgiae    
    A. aphrophilus++  
    Capnocytophaga sp. HOT-336    
    S. intermedius++  
24M/67F/40Skin infectionS. intermedius+CEA
28F/3P/41UnknownS. intermedius++NoneA
    A. aphrophilus++  
30M/60F/20UnknownA. meyeri  CTA
    A. aphrophilus  MZ 
    C. gracilis+   
    Capnocytophaga sp. HOT-338    
    E. corrodens    
    E. brachy+   
    Eubacterium yurii+   
    F. nucleatum+   
    P. micra+   
    Prevotella sp. HOT-317    
    S. intermedius++  
    Tannerella forsythia    
31F/80F/23SinusitisHaemophilus influenzae++GEA
       PX 
34F/70Th/25Lung transplantNocardia farcinica++MPD
35M/58O/33UnknownActinomyces sp.  NoneA
    A. aphrophilus++  
    BCg C. gracilis  
    Capnocytophaga sp. HOT-338    
    Eikenella sp. HOT-011    
    F. nucleatum+   
    Prevotella sp. HOT-317+   
    S. intermedius++  
36F/23F/48Country endemic for infectionBCgM. tuberculosisNoneD
37M/76F/24EndocarditisA. meyeri+ CTA
    Fusobacterium sp. HOT-203+ PX 
    Parvimonas sp. HOT-110+   
    S. intermedius++  
38M/65T/20UnknownA. meyeri  NoneA
    C. gracilis+   
    E. corrodens+   
    F. nucleatum++  
    Gemella morbillorum    
    P. micra+   
    Parvimonas sp. HOT-110    
    S. intermedius++  
40M/57F/44SinusitisA. meyeri  CXA
    E. brachy+   
    F. nucleatum+   
    P. micra+   
    S. intermedius++  
43F/52T/35UnknownNAF. nucleatum MZA
     P. micra CT 
     S. intermedius+  
44M/33F/17i.v. drug abuseF. nucleatum+ NoneA
    P. micra++  
    Parvimonas sp.    
    Prevotella pleuritidis+   
    S. intermedius++  
47M/29F/25DentalA. meyeri +CXA
    C. gracilis+ MZ 
    E. corrodens+   
    E. brachy    
    E. yurii    
    F. nucleatum+   
    G. morbillorum+   
    P. micra +  
    Prevotella oris    
    P. pleuritidis    
    S. intermedius++  
    T. forsythia    
49M/48Th/28ParanasalE. brachy +CTA
   SinusesF. alocis    
   (Morbus Osler)F. nucleatum++  
    P. micra+   
    Porphyromonas gingivalis+   
    S. constellatus++  
    Treponema denticola    
50F/45F/19Oral mucositisA. meyeri  NoneA
   ImmunocompromisedC. gracilis+   
    E. corrodens +  
    F. nucleatum+   
    F. sp. HOT-203 +  
    P. micra+   
    Prevotella sp. HOT-317 +  
    S. intermedius++  
53F/56P/20DentalCampylobacter concisus+ CXA
    E. brachy+   
    F. nucleatum+   
    P. micra+   
    Parvimonas sp. HOT-110    
    Porphyromonas sp.    
    P. oris    
    Prevotella sp. HOT-314 +  
    Selenomonas noxia    
    S. intermedius++  
55F/46F/22UnknownNAS. intermedius+NoneA
56M/49O/38DentalA. meyeri  NoneA
    C. rectus+   
    E. brachy+   
    F. nucleatum++  
    P. micra+   
    S. intermedius++  
57M/61P/19DentalA. aphrophilus  NoneA
    Alloprevotella tannerae    
    A. geminatus+   
    Bulleidia extructa    
    C. rectus+   
    E. brachy    
    F. nucleatum+   
    Haemophilus parainfluenzae++  
    P. micra++  
    Porphyromonas endodontalis+   
    P. denticola +  
    P. oris    
    P. pleuritidis+   
58M/3T/59Otitis mediaS. pneumoniae++CTA
       MZ 
59M/72T/43DentalActinomyces israelii+ CXA
    A. aphrophilus++MZ 
    E. brachy+   
    P. micra+   
60M/72P/18UnknownStaphylococcus aureus++NoneA
61M/62F/47DentalS. intermedius++NoneA
62M/85O/49COPDPropionibacterium acnes +CTD
   PneumoniaS. intermedius+ MZ 
63F/9F/35SinusitisS. intermedius++NoneA
65F/85F/30Uterine abscessNAS. intermedius+DXD
67M/64O/38DentalA. meyeri+CXA
    A. aphrophilus  MZ 
    C. gracilis+   
    E. corrodens+   
    E. brachy    
    Fusobacterium sp. HOT-203+   
    Johnsonella ignava    
    Parvimonas sp.    
    S. intermedius+   
a
ID, study identification number.
b
F, female; M, male.
c
Loc, intracerebral localization (F, frontal; T, temporal; O, occipital; P, parietal; Th, thalamus). Size represents the average of the axial, cordial, and sagittal measurements.
d
i.v., intravenous; COPD, chronic obstructive pulmonary disease.
e
For bacteria without a valid species name, the provisional human oral taxon (HOT) taxonomy was used when appropriate (36). NA, not available for MPS.
f
Uncultured Fusobacterium sp. that clusters with the Fusobacterium nucleatum group (36).
g
Detected but below cutoff (BC).
h
+, detected; −, sample negative by this method.
i
Ab, antibiotic treatment at the time of sample collection; CT, cefotaxime; MZ, metronidazole; PC, penicillin; CL, chloramphenicol; CI, ciprofloxacin; PV, penicillin V; CE, cephalothin; GE, gentamicin; PX, pentrexyl; MP, meropenem; CX, ceftriaxone; DX, doxycycline.
j
Oc, outcome (alive [A] or dead [D] 6 months after sample collection).
TABLE 3
TABLE 3 Genus and species overview with corresponding number of isolations, from patients with spontaneous brain abscesses only
GenusnSpeciesn
Streptococcus28Streptococcus intermedius24
  Streptococcus constellatus2
  Streptococcus pneumoniae2
Parvimonas23Parvimonas micra15
  Parvimonas sp. HOT-110a5
  Other Parvimonas spp.3
Fusobacterium21Fusobacterium nucleatum16
  Fusobacterium sp. HOT-2035
Actinomyces16Actinomyces meyeri12
  Actinomyces georgiae2
  Actinomyces israelii1
  Other Actinomyces spp.1
Campylobacter13Campylobacter gracilis8
  Campylobacter rectus4
  Campylobacter concisus1
Eubacterium13Eubacterium brachy10
  Eubacterium yuriia2
  Eubacterium nodatum1
Prevotella12Prevotella oris3
  Prevotella pleuritidis3
  Prevotella nigrescens1
  Prevotella sp. HOT-317a3
  Prevotella denticola1
  Prevotella sp. HOT-3141
Aggregatibacter11Aggregatibacter aphrophilus11
Eikenella7Eikenella corrodens6
  Eikenella sp. HOT-011a1
Capnocytophaga3Capnocytophaga sp. HOT-338a2
  Capnocytophaga sp. HOT-336a1
Porphyromonas3Porphyromonas endodontalis1
  Porphyromonas gingivalis1
  Other Porphyromonas spp.1
Anaeroglobus2Anaeroglobus geminatus2
Filifactor2Filifactor alocis2
Gemella2Gemella morbillorum2
Haemophilus2Haemophilus influenzae1
  Haemophilus parainfluenzae1
Tannerella2Tannerella forsythia2
Alloprevotella1Alloprevotella tannerae1
Bulleidia1Bulleidia extructaa1
Johnsonella1Johnsonella ignavaa1
Mycobacterium1Mycobacterium tuberculosis1
Nocardia1Nocardia farcinica1
Propionibacterium1Propionibacterium acnes1
Selenomonas1Selenomonas noxiaa1
Staphylococcus1Staphylococcus aureus1
Treponema1Treponema denticola1
a
Species not previously reported from intracerebral infections.
The MPS part of the study included batch processing of amplified DNA. Although standard measures were taken to prevent the transfer of DNA from one sample to another, we did see evidence of low-level cross-contamination in some samples. This was suspected when a dominant species in one sample was seen as a minor constituent of another sample processed in the same batch. All 10 identifications considered to represent cross-contamination are marked in Table S1 in the supplemental material and were excluded from the results. In all but three samples (P12, P31, and P53), suspected cross-contamination also fell below the respective sample-specific cutoffs. Of the 160 accepted identifications made by MPS, 109 were confirmed by Sanger sequencing and/or culture performed sequentially following sample inclusion.

DISCUSSION

Internal organ abscesses are illustrative of the shortcomings of bacterial culture. They often contain anaerobic or fastidious bacteria vulnerable to sample collection procedures and transportation, and they can also contain atypical or slow-growing organisms that will not necessarily form colonies on routine media or during a standard incubation time. Also, antibiotic therapy is frequently initiated prior to sample collection due to delayed recognition and complicated access.
The amplification of bacterial 16S rRNA genes directly from clinical samples, followed by Sanger DNA sequencing, provided, for the first time, a universal culture-independent alternative for detecting and identifying bacteria (9). Although its usefulness has been well documented (5, 1012), a major limitation has been its relative unsuitability for samples containing more than one species.
We hypothesize that polymicrobial infections undergo an ecological succession in which the relative concentration of a species varies at different stages of formation, maturation, and treatment (13, 14). The ability to detect only living or dominant bacteria at the moment of sample collection can make it difficult to recognize patterns or groups of core pathogens. The occasional isolation of organisms that are more difficult to culture can be confusing and result in concerns of a special infection that requires modifications to antimicrobial therapy. MPS does not have limitations related to sample complexity or concentration differences if used with a sufficiently high number of reads per sample. Although in the present study MPS generally increased the complexity of the results on the individual sample level, it revealed surprisingly homogeneous overall patterns for spontaneous brain abscesses. The 10 most prevalent genera and the 10 most prevalent species represented 92% and 70% of the identifications, respectively. The number of reads per species varied with a factor of ≥1,000 in several samples, confirming large concentration differences (see Table S1 in the supplemental material). The average 250,000 valid sequences per sample did not give a high enough resolution to detect background bacterial DNA in all specimens, indicating that an even higher number of reads could ideally have been used.
We find it unlikely that these complex infections are the result of a single bacterial seeding and believe that some species are pioneers, able to survive the oxygenated environment in the brain and prepare conditions for later entrance of strictly anaerobic bacteria (1315). All 25 spontaneous polymicrobial abscesses were found to contain Aggregatibacter aphrophilus (n = 1), Fusobacterium nucleatum (n = 2), Streptococcus intermedius (n = 3), or combinations of these (n = 19). S. intermedius and A. aphrophilus were the only bacteria found in both polybacterial and monobacterial infections. F. nucleatum is a moderate anaerobe that tolerates low oxygen concentrations (16). Evidence exists that it possesses capacity for further oxygen adaptation (17, 18) and even that oxidative stress can increase Fusobacterium pathogenicity (19). All three species have repeatedly been reported from suppurative infections, including pulmonary empyema, liver abscesses, and brain abscesses (5, 2023). We therefore suggest that A. aphrophilus, F. nucleatum, and S. intermedius are pioneer pathogens, permissive for the formation of polymicrobial brain abscesses.
It has been demonstrated that oral anaerobic bacteria can survive in an oxygenated environment by interacting with facultative or aerobic bacteria (15). In oral microbiology, F. nucleatum is considered a key organism in both biofilms and planktonic phases for bridging the transition between early aerobic/facultative colonizers and later obligate anaerobes by aggregating them into metabolically organized units in which the anaerobic bacteria are protected by the metabolism of aerobic and aerotolerant species (24, 25). We identified F. nucleatum group bacteria in 19 out of 20 brain abscesses containing strictly anaerobic species, strongly indicating an equally essential role in these infections.
Actinomyces species are infrequently cultured from brain abscesses and have historically been considered complicated to treat, with prolonged treatment recommendations of up to 6 months (26, 27). Our study shows that Actinomyces is among the most common genera in polymicrobial brain abscesses (14 out of 25 patients), although it was successfully cultured from only three patients in this study. These observations lead us to question the role of Actinomyces as an indicator of a special infection necessitating prolonged therapy. This is in support of a case series in which three brain abscesses with Actinomyces were successfully treated with burr hole aspiration and short-course antimicrobial therapy (3 to 4 weeks) (28) and in concordance with treatment experiences from other body localizations (29). In the present study, the median duration of antimicrobial treatment for the actinomycotic abscesses was 9 weeks (range, 6 to 16 weeks), and no recurrences were reported after a minimum observation time of 1 year.
Campylobacter gracilis (previously Bacteroides gracilis) and Campylobacter rectus are the most dominant Campylobacter species in the oral cavity and represent another long-acknowledged genus in intracranial infections rarely recovered by culture (1, 4, 30). In this study, C. gracilis (n = 8) was found exclusively in samples positive for Actinomyces spp. (n = 14), and Eikenella corrodens (n = 6) was found exclusively in samples with C. gracilis, indicating that Actinomyces might be important for the introduction of these two fastidious organisms into the abscess. Coaggregation between C. gracilis and Actinomyces spp. has also been demonstrated experimentally (31). In general, if some species already exist as coaggregates in the oral cavity or other origins, it is reasonable to consider that bacterial seeding can also take place in the form of aggregates. Also A. aphrophilus was found to be associated with Actinomyces spp. (8 out of 11 isolations).
The samples from intracranial postoperative infections contained Propionibacterium acnes, Staphylococcus aureus, and coagulase-negative staphylococci. This is in concordance with previous investigations. For the three subdural empyemas, no particular patterns were observed, and as a group, they did not share the characteristics discussed for spontaneous brain abscesses.
The presence of bacterial DNA in everything from sample collection devices to lab reagents is a major concern when performing universal 16S rRNA gene amplification directly from clinical samples (32, 33). For handling this in MPS reactions, in which the high number of wells can result in the cosequencing of background bacterial DNA even in strongly positive samples (e.g., if a clinical specimen contains 1,000 times more bacterial DNA than the negative control, in the result, 1:1,000 reads is likely to represent background DNA), we introduce a new sample-specific cutoff grounded on the relative quantifications of bacterial DNA obtained in the real-time universal 16S PCR. Incorporated in the cutoff is a three-cycle (8-fold) safety margin. It could be argued from our data (see Table S1 in the supplemental material) that this is a conservative approach, but the very high DNA concentrations found in purulent specimens can reduce PCR efficacy and consequently the ΔCT value in some samples (thereby giving a higher cutoff for a valid species). Regardless of the number of cycles chosen as a safety margin, the principle of estimating a sample-specific cutoff remains valid.
Because of the strict criteria needed to reliably define a true positive sample, a universal 16S PCR will have a significantly lower sensitivity than a species-specific PCR. This is not altered by the introduction of MPS, as exemplified by the two isolations made exclusively by culture in this study. In sample P36, M. tuberculosis was both cultured and detected by a M. tuberculosis complex-specific PCR, whereas the universal 16S PCR reached CT after the negative control. Upon Ion Torrent sequencing, a few reads from M. tuberculosis were actually detected but at lower levels than a range of typically environmental species (see Table S1 in the supplemental material). In the polymicrobial sample P21, which was clearly positive by the universal PCR (ΔCT = 15.7) one of the culture-proven species (C. gracilis) is still present in a low concentration comparable to that of the bacterial background and drops below cutoff (see Table S1).
In Norway, ceftriaxone or cefotaxime combined with metronidazole is the first-line therapy for brain abscesses, with a suspected primary focus in the oral cavity, sinuses, ears, or lungs, or with an unknown primary focus. None of the species detected exclusively by MPS in this study would be considered to have reduced susceptibility to this regimen. However, atypical organisms, like Mycoplasma spp., have been reported by others (1, 2) in polymicrobial brain abscesses, and the ability to detect unexpected pathogens remains among the most important tasks for diagnostic microbiology. Reliable diagnostics will also encourage clinicians to customize treatment once the results are available and can lead to more targeted and narrow-spectrum treatment.
To the best of our knowledge, this is the first systematic investigation of a human bacterial infection using MPS. No relevant gold standard is available for comparison. Although we were able to confirm 68% of the identifications with culture or Sanger sequencing, it will be important that both our findings and methodological approach are challenged by other research groups.

Conclusion.

MPS enabled us to define key pathogens for the formation and development of polymicrobial brain abscesses. It also revealed that some species systematically coexisted. The importance of a high number of sequencing reads to overcome unequal species concentrations in mixed bacterial infections is emphasized. Despite the frequent detection of organisms rarely found by culture and even of some not previously reported, the study lends strong support to current empirical treatment recommendations. MPS provides an unprecedented resolution and will revitalize both research and diagnostics for polymicrobial infections.

ACKNOWLEDGMENTS

This work was supported by the Department of Microbiology, Haukeland University Hospital, Norway, and the Department of Microbiology and Infection Control, Akershus University Hospital, Norway. The reagents for Ion Torrent sequencing were provided by Life Technologies (California, USA).
Ø.K. and Ø.S. are cofounders and shareholders of iSentio AS (Bergen, Norway).

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Information & Contributors

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Published In

cover image Journal of Clinical Microbiology
Journal of Clinical Microbiology
Volume 52Number 6June 2014
Pages: 1990 - 1997
Editor: P. Bourbeau
PubMed: 24671797

History

Received: 6 February 2014
Returned for modification: 11 March 2014
Accepted: 21 March 2014
Published online: 1 June 2014

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Contributors

Authors

Øyvind Kommedal
Department of Microbiology, Haukeland University Hospital, Bergen, Norway
Marianne Thulin Wilhelmsen
Department of Microbiology, Haukeland University Hospital, Bergen, Norway
Steinar Skrede
Department of Medicine, Haukeland University Hospital, Bergen, Norway
Department of Clinical Science, University of Bergen, Bergen, Norway
Roger Meisal
Department of Microbiology and Infection Control, Akershus University Hospital, Lørenskog, Norway
Aleksandra Jakovljev
Department of Microbiology, St. Olav's University Hospital, Trondheim, Norway
Peter Gaustad
Department of Microbiology, Oslo University Hospital, Oslo, Norway
Nils Olav Hermansen
Department of Microbiology, Oslo University Hospital, Oslo, Norway
Einar Vik-Mo
Department of Neurosurgery, Oslo University Hospital, Oslo, Norway
Ole Solheim
Department of Neurosurgery, St. Olav's University Hospital, Trondheim, Norway
Department of Neuroscience, Norwegian University of Science and Technology, Trondheim, Norway
Ole Herman Ambur
Department of Microbiology and Infection Control, Akershus University Hospital, Lørenskog, Norway
Øystein Sæbø
Isentio, Inc., Palo Alto, California, USA
Christina Teisner Høstmælingen
Department of Neurosurgery, University of North Norway, Tromsø, Norway
Christian Helland
Department of Neurosurgery, Haukeland University Hospital, Bergen, Norway
Department of Clinical Medicine, University of Bergen, Bergen, Norway

Editor

P. Bourbeau
Editor

Notes

Address correspondence to Øyvind Kommedal, [email protected].

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