Journal List > Ann Lab Med > v.40(1) > 1130654

Yoo, Kang, Lee, Kim, Cho, Huh, Kang, Chung, Peck, Huh, and Lee: Comparison of 16S Ribosomal RNA Targeted Sequencing and Culture for Bacterial Identification in Normally Sterile Body Fluid Samples: Report of a 10-Year Clinical Laboratory Review

Abstract

As 16S ribosomal RNA (rRNA)-targeted sequencing can detect DNA from non-viable bacteria, it can be used to identify pathogens from clinical samples even in patients pretreated with antibiotics. We compared the results of 16S rRNA-targeted sequencing and culture for identifying bacterial species in normally sterile body fluid (NSBF): cerebrospinal, pericardial, peritoneal and pleural fluids. Over a 10-year period, a total of 312 NSBF samples were evaluated simultaneously using 16S rRNA-targeted sequencing and culture. Results were concordant in 287/312 (92.0%) samples, including 277 (88.8%) negative and 10 (3.2%) positive samples. Of the 16 sequencing-positive, culture-negative samples, eight showed clinically relevant isolates that included Fusobacterium nucleatum subsp. nucleatum, Streptococcus pneumoniae, and Staphylococcus spp. All these samples were obtained from the patients pretreated with antibiotics. The diagnostic yield of 16S rRNA-targeted sequencing combined with culture was 11.2%, while that of culture alone was 6.1%. 16S rRNA-targeted sequencing in conjunction with culture could be useful for identifying bacteria in NSBF samples, especially when patients have been pretreated with antibiotics and when anaerobic infection is suspected.

The identification of pathogens by culture of normally sterile body fluid (NSBF) is crucial for accurate diagnosis of invasive infections, including meningitis, pericarditis, peritonitis, and empyema [1]. However, culture frequently fails to detect clinically important pathogens owing to stringent growth requirements or prior empirical antibiotic treatment [2]. In recent years, broad-range PCR has been used in clinical laboratories to identify clinical pathogens from normally sterile sites, especially in cases of fastidiously slow growing bacteria and biochemically unidentifiable bacteria [3]. Although 16S ribosomal RNA (rRNA) PCR and targeted sequencing can produce false-positive results because of contamination, they remain useful for detecting bacterial infection [4]. In our clinical laboratory, 16S rRNA-targeted sequencing has been applied to tissue and fluid samples and has assisted in diagnosing culture-negative cases since September 2009. We retrospectively evaluated the clinical utility of 16S rRNA-targeted sequencing in comparison with culture for identifying bacterial species in NSBF samples. Although, the results of our study are consistent with those of a previous study [2], to our knowledge, this is the largest single center study that summarizes the results of 16S rRNA-targeted sequencing in NSBF samples. We reviewed the records for a decade to emphasize the clinical utility of 16S rRNA targeted sequencing.
A total of 312 NSBF samples from 248 patients collected from Mar 2009 to May 2018 were evaluated. Samples were submitted to the laboratory of Samsung Medical Center, Seoul, Korea for 16S rRNA-targeted sequencing in addition to culture. We analyzed 154 cerebrospinal fluid (CSF), 29 pericardial fluid, 24 peritoneal fluid, and 105 pleural fluid samples. Clinical data were reviewed retrospectively to assess the likelihood of infection, including clinical signs and symptoms, laboratory findings, radiological findings, and patient antibiotic therapy response. This study was approved by the Institutional Review Board (IRB) of Samsung Medical Center, Seoul, Korea (IRB No. 2018-12-012), and informed consent requirements were waived.
Samples were Gram-stained and cultured following standard laboratory procedures [5]. Four drops of each sample were directly inoculated on 5% sheep blood agar, chocolate agar, MacConkey agar, and Brucella agar (except for CSF) and incubated at 35℃ in a 5% CO2 incubator for 18–48 hours. For enrichment, residual samples were inoculated into thioglycolate broth and incubated for seven days. Some samples were also inoculated into BacT/ALERT blood culture bottles (Organon Teknika Corporation, Durham, NC). Microorganisms were further identified using the VITEK 2 system (bioMérieux, Marcy-l'Étoile, France) or by matrix-assisted laser desorption ionization time-of-flight mass spectrometry using the VITEK MS system (bioMérieux).
Nucleic acids were extracted from 200 µL of fresh samples using a MagNA Pure LC instrument (Roche Diagnostics, Mannheim, Germany) or MagNA Pure 96 instrument (Roche Diagnostics), according to the manufacturer's protocol. PCR was performed in a 20-µL sample containing DNA template, specific primers, and the AccuPower ProFi Taq PCR PreMix (Bioneer, Daejeon, Korea) after decontaminating the PCR master mix solutions including primers with a PCR decontamination kit (ArcticZymes, Tromsø, Norway). 16S rRNA was amplified using semi-nested PCR with two primer sets. The external primers were 4F (5′-TTGGAGAGTTTGATCCTGGCTC-3′) and 1,492R (5′-GGTTACCTTGTTACGACTT-3′), and the internal primers were 27F (5′-AGAGTTTGATCMTGGCTCAG-3′) and 801R (5′-GGCGTGGACTTCCAGGGTATCT-3′) [6]. If indicated, alternative target genes, for instance, tuf and gyrB, were used to obtain species-level identification [78]. Amplification conditions for the first and second rounds consisted of denaturation at 94℃ for five minutes; 32 cycles of 94℃ for 30 seconds, 60℃ for 30 seconds, and 72℃ for 30 seconds; and a final extension at 72℃ for seven minutes. Sequencing was performed on an automated ABI Prism 3730 instrument using the BigDye Terminator Cycle Sequencing Kit (Thermo Fisher Scientific, Waltham, MA, USA). The 16S rRNA sequences were compared with those of reference strains in the NCBI GenBank database and the EzTaxon database (http://www.eztaxon.org/). Sequencing results were interpreted in accordance with the Clinical and Laboratory Standards Institute (CLSI) MM18-A guidelines [6]. The 16S rRNA-targeted sequencing and culture results were compared, and the concordance rate was determined. Clinically relevant isolates were defined as bacteria identified by either 16S rRNA-targeted sequencing or culture when the patient with identified bacteria exhibited clinical manifestations, laboratory findings and/or radiological evidence of infection, and clinical improvement in response to antibiotic treatment [910]. Clinically relevant isolates were categorized by two doctors based on the clinical information of each patient.
Of the 312 samples, 26 (8.3%) and 19 (6.1%) were positive for bacteria identification by 16S rRNA-targeted sequencing and culture, respectively; 10 (3.2%) were positive by both methods, 16 (5.1%) were positive by 16S rRNA targeted sequencing only, nine (2.9%) were positive by culture only, and the remaining 277 (88.8%) were negative for bacteria identification by both methods. The concordance rate between methods was 92.0% (287/312). Of the 25 discordant samples, nine sequencing-negative, culture-positive samples showed three coagulase-negative staphylococcal, two streptococcal, one Enterococcus faecium, and three Enterobacteriaceae isolates (Fig. 1). Of these, six were clinically relevant isolates (see Supplemental Data Table S1). Of the 16 sequencing-positive, culture-negative samples, eight showed clinically relevant isolates (Fig. 1). All these samples were obtained from the patients pretreated with empirical antibiotics (Table 1).
The distribution of clinical samples and identified species from the 35 samples positive by either 16S rRNA-targeted sequencing or culture or both is shown in Fig. 1. Most bacterial species were identified in CSF (N=18), of which S. pneumoniae was the clinically relevant species most frequently detected (N=4) by 16S rRNA-targeted sequencing. The second highest number of bacterial species were identified in pleural fluid (N=13); F. nucleatum subsp. vincentii was detected in these samples by both 16S rRNA-targeted sequencing and culture. All species isolated from pericardial (N=1) and peritoneal fluid samples (N=3) were clinically relevant.
Diagnostic yield increased from 6.1% (19/312) with culture to 11.2% (35/312) with the addition of 16S rRNA-targeted sequencing. Direct amplification and sequencing in clinical samples are especially useful for patients pretreated with antibiotics [11]. Consistent with this observation, all sequencing-positive, culture-negative samples were obtained from the patients with prior antibiotic treatment. Specifically, two of the four S. pneumoniae isolates (the most common bacterial meningitis pathogen [12]) were detected only by 16S rRNA-targeted sequencing. A retrospective review of the effects of parenteral antibiotic pretreatment in suspected S. pneumoniae meningitis suggested that CSF sterilization occurs only four hours after initiation of parenteral antibiotics [13]. Therefore, identifying pathogen DNA by 16S rRNA-targeted sequencing could be advantageous, especially in CSF samples when antibiotic pretreatment could affect CSF culture yield.
In this study, F. nucleatum subsp. nucleatum and C. showae were identified in CSF samples using 16S rRNA-targeted sequencing, but not using culture, because we do not routinely perform anaerobic culturing with CSF. F. nucleatum subsp. nucleatum causing several systemic infections and C. showae with unknown significance of pathogenicity are rarely isolated anaerobic gram-negative rods that are primarily involved in periodontal diseases [1415]. Similar to a previous study, we found that 16S rRNA-targeted sequencing is particularly valuable for identifying anaerobic pathogens that are difficult to culture [16].
For sequencing-positive, culture-negative samples, we also considered the possibility of false-positive 16S rRNA-targeted sequencing results due to contamination in the DNA extraction kit, PCR reagents, or samples [17]. Based on a thorough review of the 16 sequencing-positive, culture-negative samples, eight were inconsistent with the clinical context, suggesting contamination. Of these, Ralstonia pickettii is a common contaminant in DNA extraction kits [18], and it was isolated from the pleural fluid of a patient with invasive pulmonary aspergillosis. The false-positive results can be derived from contaminants or nonviable bacteria and seem to be an inherent feature of PCR. Therefore, clinical correlation would be needed when a false-positive result is suspected.
Out of the nine sequencing-negative, culture-positive samples, six clinically relevant isolates were recovered from patients with bacterial meningitis, liver abscess, or pneumonia with combined empyema. Of these, two isolates, Klebsiella pneumoniae and S. constellatus, were recovered from a blood culture bottle, and one E. faecium isolate was recovered from an enrichment culture with thioglycolate broth. The false-negative sequencing results could be due to low microbial concentration and/or presence of PCR inhibitory substances in the samples subjected to 16S rRNA-targeted sequencing. Inhibitory substances may be present in the original sample and also may be unintentionally added as a result of the sample processing and DNA extraction from reagent [19].
This study has several potential limitations. First, the positive rates for culture were relatively low compared with those in a previous report, in which culture recovered 78.8% and 84.6% of significant isolates from peritoneal and pleural fluids [20]. The positive rates from culture in our study were 5.2% (8/154), 12.5% (3/24), and 7.6% (8/105) for CSF, peritoneal fluid, and pleural fluid samples, respectively. The main reason for low positive rates is that we included not only samples from the initial work-up but also follow-up samples obtained during empirical antibiotic treatment. In addition, many samples were collected from patients with a low probability of infection. Second, owing to the retrospective design of this study, we determined the clinical relevance of the isolates based solely on recorded, clinically important characteristics.
Despite these limitations, to our knowledge, this is the largest-scale single center study that summarizes the results of 16S rRNA-targeted sequencing in NSBF samples. We demonstrated that 16S rRNA-targeted sequencing in conjunction with culture can be useful for identifying the etiological agent in NSBF samples, especially when patients have been pretreated with antibiotics and when anaerobic infection is suspected.

Figures and Tables

Fig. 1

Direct 16S ribosomal RNA sequencing versus culture for identifying bacteria in normally sterile body fluid samples (N=312). Clinically relevant isolates are indicated in bold.

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Table 1

Clinically relevant isolates identified by only 16S ribosomal RNA-targeted sequencing in NSBF samples (N=8)

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Sample Bacteria identified by 16S ribosomal RNA gene PCR % Identity Antibiotic treatment prior to sampling Treatment change after reporting Final diagnosis
Cerebrospinal fluid Campylobacter showae 569/569 (100%) Ceftriaxone+Vancomycin Ceftriaxone Intraventricular abscess
Fusobacterium nucleatum subsp. nucleatum 678/678 (100%) Ampicillin+Ceftriaxone+Vancomycin Ampicillin+Ceftriaxone Meningitis
Fusobacterium nucleatum subsp. nucleatum 445/445 (100%) Cefepime+Vancomycin Cefepime Brain abscess with meningoencephalitis
Streptococcus pneumoniae 724/728 (99.5%) Ampicillin+Cefepime+Vancomycin Ceftriaxone+Vancomycin Pneumococcal meningoencephalitis
Streptococcus pneumoniae 704/704 (100%) Ceftriaxone+Vancomycin Ampicillin+Ceftriaxone Bacterial meningoencephalopathy
Pericardial fluid Staphylococcus species 728/730 (99.7%) Ceftriaxone+Gentamicin+ Rifampin+Vancomycin Gentamicin+Nafcillin+ Rifampin Pericarditis
Pleural fluid Sphingomonas melonis 584/584 (100%) Meropenem+Azithromycin Meropenem+TMP/SMX Bronchopneumonia with pleural effusion
Staphylococcus species 477/489 (97.5%) Azithromycin+Cefotaxime TMP/SMX Pleural effusion

Abbreviations: NSBF, normally sterile body fluid; TMP/SMX, trimethoprim/sulfamethoxazole.

Notes

Author Contributions All authors have accepted their responsibility for the entire content of this manuscript and approved submission.

Conflicts of Interest None declared.

Research Funding None declared.

References

1. Altun O, Almuhayawi M, Ullberg M, Özenci V. Rapid identification of microorganisms from sterile body fluids by use of FilmArray. J Clin Microbiol. 2015; 53:710–712.
crossref pmid pmc
2. Grif K, Heller I, Prodinger WM, Lechleitner K, Lass-Flörl C, Orth D. Improvement of detection of bacterial pathogens in normally sterile body sites with a focus on orthopedic samples by use of a commercial 16S rRNA broad-range PCR and sequence analysis. J Clin Microbiol. 2012; 50:2250–2254.
crossref pmid pmc
3. Rampini SK, Bloemberg GV, Keller PM, Büchler AC, Dollenmaier G, Speck RF, et al. Broad-range 16S rRNA gene polymerase chain reaction for diagnosis of culture-negative bacterial infections. Clin Infect Dis. 2011; 53:1245–1251.
crossref pmid
4. Sontakke S, Cadenas MB, Maggi RG, Diniz PP, Breitschwerdt EB. Use of broad range 16S rDNA PCR in clinical microbiology. J Microbiol Methods. 2009; 76:217–225.
pmid
5. Leber AL, editor. Clinical microbiology procedures handbook. 4th ed. Washington, DC: ASM Press;2016. p. 3.5–3.7.
6. CLSI. Interpretive criteria for identification of bacteria and fungi by targeted DNA sequencing. 2nd ed. CLSI MM18. Wayne, PA: Clinical and Laboratory Standards Institute;2018.
7. Li X, Xing J, Li B, Wang P, Liu J. Use of tuf as a target for sequence-based identification of Gram-positive cocci of the genus Enterococcus, Streptococcus, coagulase-negative Staphylococcus, and Lactococcus. Ann Clin Microbiol Antimicrob. 2012; 11:31.
pmid pmc
8. Dauga C. Evolution of the gyrB gene and the molecular phylogeny of Enterobacteriaceae: a model molecule for molecular systematic studies. Int J Syst Evol Microbiol. 2002; 52:531–547.
pmid
9. Basein T, Gardiner BJ, Andujar Vazquez GM, Joel Chandranesan AS, Rabson AR, Doron S, et al. Microbial identification using DNA target amplification and sequencing: clinical utility and impact on patient management. Open Forum Infect Dis. 2018; 5:ofy257.
crossref
10. Varani S, Stanzani M, Paolucci M, Melchionda F, Castellani G, Nardi L, et al. Diagnosis of bloodstream infections in immunocompromised patients by real-time PCR. J Infect. 2009; 58:346–351.
crossref pmid
11. Welinder-Olsson C, Dotevall L, Hogevik H, Jungnelius R, Trollfors B, Wahl M, et al. Comparison of broad-range bacterial PCR and culture of cerebrospinal fluid for diagnosis of community-acquired bacterial meningitis. Clin Microbiol Infect. 2007; 13:879–886.
crossref pmid
12. Fiore AE, Moroney JF, Farley MM, Harrison LH, Patterson JE, Jorgensen JH, et al. Clinical outcomes of meningitis caused by Streptococcus pneumoniae in the era of antibiotic resistance. Clin Infect Dis. 2000; 30:71–77.
pmid
13. Kanegaye JT, Soliemanzadeh P, Bradley JS. Lumbar puncture in pediatric bacterial meningitis: defining the time interval for recovery of cerebrospinal fluid pathogens after parenteral antibiotic pretreatment. Pediatrics. 2001; 108:1169–1174.
crossref pmid
14. Yang CC, Ye JJ, Hsu PC, Chang HJ, Cheng CW, Leu HS, et al. Characteristics and outcomes of Fusobacterium nucleatum bacteremia–a 6-year experience at a tertiary care hospital in northern Taiwan. Diagn Microbiol Infect Dis. 2011; 70:167–174.
pmid
15. de Vries JJ, Arents NL, Manson WL. Campylobacter species isolated from extra-oro-intestinal abscesses: a report of four cases and literature review. Eur J Clin Microbiol Infect Dis. 2008; 27:1119–1123.
pmid
16. Jenkins C, Ling CL, Ciesielczuk HL, Lockwood J, Hopkins S, McHugh TD, et al. Detection and identification of bacteria in clinical samples by 16S rRNA gene sequencing: comparison of two different approaches in clinical practice. J Med Microbiol. 2012; 61:483–488.
crossref pmid
17. Velásquez-Mejía EP, de la Cuesta-Zuluaga J, Escobar JS. Impact of DNA extraction, sample dilution, and reagent contamination on 16S rRNA gene sequencing of human feces. Appl Microbiol Biotechnol. 2018; 102:403–411.
crossref pmid
18. Salter SJ, Cox MJ, Turek EM, Calus ST, Cookson WO, Moffatt MF, et al. Reagent and laboratory contamination can critically impact sequence-based microbiome analyses. BMC Biol. 2014; 12:87.
crossref pmid pmc
19. Kolbert CP, Persing DH. Ribosomal DNA sequencing as a tool for identification of bacterial pathogens. Curr Opin Microbiol. 1999; 2:299–305.
crossref pmid
20. Bourbeau P, Riley J, Heiter BJ, Master R, Young C, Pierson C. Use of the BacT/Alert blood culture system for culture of sterile body fluids other than blood. J Clin Microbiol. 1998; 36:3273–3277.
crossref pmid pmc

Supplementary Material

Supplemental Data Table S1

Clinically relevant isolates identified only by culture in normally sterile body fluid samples (N=6)
TOOLS
ORCID iDs

In Young Yoo
https://orcid.org/0000-0003-1505-846X

On-Kyun Kang
https://orcid.org/0000-0002-1031-1991

Myoung-Keun Lee
https://orcid.org/0000-0003-3977-8031

Yae-Jean Kim
https://orcid.org/0000-0002-8367-3424

Sun Young Cho
https://orcid.org/0000-0001-9307-2369

Kyungmin Huh
https://orcid.org/0000-0002-5140-3964

Cheol-In Kang
https://orcid.org/0000-0002-1741-4459

Doo Ryeon Chung
https://orcid.org/0000-0001-9267-101X

Kyong Ran Peck
https://orcid.org/0000-0002-7464-9780

Hee Jae Huh
https://orcid.org/0000-0001-8999-7561

Nam Yong Lee
https://orcid.org/0000-0003-3688-0145

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