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CASE REPORT article

Front. Pediatr., 07 January 2021 | https://doi.org/10.3389/fped.2020.575674

Case Report: Comparison of Plasma Metagenomics to Bacterial PCR in a Case of Prosthetic Valve Endocarditis

Joshua A. Lieberman1*, Caitlin Naureckas Li2, Gabriella S. Lamb2, David A. Kane3, Mary K. Stewart1, Ruslan A. Mamedov1, Brad T. Cookson1,4 and Stephen J. Salipante1
  • 1Department of Laboratory Medicine & Pathology, University of Washington, Seattle, WA, United States
  • 2Division of Infectious Diseases, Department of Pediatrics, Boston Children's Hospital, Boston, MA, United States
  • 3Department of Cardiology, Boston Children's Hospital, Boston, MA, United States
  • 4Department of Microbiology, University of Washington, Seattle, WA, United States

Molecular assays for infectious diseases have emerged as important clinical decision-making tools. Unbiased, metagenomic next-generation sequencing is a novel approach holding promise to detect pathogens missed by conventional modalities and to deconvolute admixed nucleic acid sequences from polymicrobial infections in order to identify constituent pathogens. Recent studies have raised concerns about the clinical impact of metagenomics assays and whether their expense is justified. Here, we report a case of polyclonal Streptococcus cristatus endocarditis in a 14-year-old woman with a history of Tetralogy of Fallot. Three sets of admission blood cultures and a commercial plasma metagenomics assay were negative for pathogens, despite persistent vegetations observed on the valve during a later procedure. Multiple strains of Streptococcus cristatus were identified from the explanted valve by amplicon-based 16S rRNA sequencing, confirming the patient had received appropriate antibiotic therapy. This case highlights limitations in the use and interpretation of clinical metagenomics for infectious disease diagnosis and indicates that the clinical yield of these tools may depend upon infection type and anatomic location.

Introduction

The recent development of metagenomic next-generation sequencing (mNGS) methods to diagnose infections has created exciting opportunities to unbiasedly detect bacterial, viral, and eukaryotic pathogens from paucicellular patient specimens including cerebral spinal fluid (13), blood plasma (48), and urine (9). mNGS consists of agnostic DNA, RNA, or total nucleic acid sequencing followed by bioinformatic classification of sequence reads against databases of known organisms. Applications of this approach have ranged from the detection of occult pathogens during fulminant infection (3), chronic disease monitoring in at-risk populations like Cystic Fibrosis patients (8) and diagnosis of infection following antibiotic exposure (10).

Nevertheless, only a few clinical mNGS assays are currently available from commercial or academic providers (3, 11), and their clinical utility remains uncertain (5). Recent studies examining the performance characteristics of mNGS for pathogen detection have estimated clinical sensitivity above 70% (1, 10) and specificity approaching 99% (1, 12). Nevertheless, other large, longitudinal studies of mNGS have demonstrated positivity rates at 32% (6), 49% (13), or 61% (4). The proportion of mNGS results that led to changes in clinical care similarly ranged from as low as <10–14% (4, 13) to as high as 61.4–65% (3, 6, 14) of cases. Clinical investigations have also highlighted the risk of both false negative mNGS testing (6) and over-reporting of clinically unimportant microbes (13), with potentially negative impacts to patient care, including unnecessary treatment (4). Although some of the more pessimistic assessments of mNGS clinical utility have been contested (7), the cost and limitations of the assay merit careful stewardship and selective utilization (4, 7).

The uncertainties surrounding mNGS assay utility leave it unclear if and when clinicians treating infectious diseases should prioritize mNGS testing over conventional molecular diagnostic tools. While a single class of broad-range PCR (e.g., bacterial) or organism-specific PCRs detect fewer pathogens than mNGS, such assays are reported to be at least as sensitive (4), less expensive (15, 16), and can be performed directly on material with a preponderance of human cells, including infected body fluids, tissues, explanted devices, and, in many cases, formalin-fixed paraffin embedded tissue blocks (16, 17).

Here we present a patient who developed prosthetic valve endocarditis due to Streptococcus cristatus for whom blood cultures and a commercial mNGS assay to detect microbial cfDNA from plasma was negative for pathogens, while a broad-range bacterial PCR (18) performed on the explanted valve identified the etiologic agent. These discordant results highlight the importance of patient and specimen selection for the optimal application of molecular diagnostic techniques.

Case Description

The patient was a 14-year-old female with history notable for 22q11 deletion syndrome with Tetralogy of Fallot (TOF), repaired cleft lip and palate, and bilateral hearing loss. Management of her TOF was atypical as she was adopted from another country. She originally underwent placement of a central shunt at age 2-years and complete TOF repair with a bioprosthetic pulmonary valve at age 6-years. A transcatheter pulmonary valve (TPV) was subsequently placed at the age of 12-years. She had a remote history of tooth extractions, but intact dentition at presentation. She was in her usual state of health until approximately 2½ weeks prior to admission (Figure 1). At that time, she developed fever, cough, nasal congestion, and right-sided abdominal pain. A chest x-ray was performed and interpreted as showing a right lower lobe pneumonia. She received a seven day course of amoxicillin, with resolution of her fever.

FIGURE 1
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Figure 1. Timeline of clinical and diagnostic events. Weeks since initial presentation (antecedent pneumonia) are presented as gray blocks of 1 week each (bottom row). Clinical events are presented (top row) with inpatient weeks in dark gray and outpatient weeks as light gray blocks. Diagnostic testing and corresponding results, as well as selection and duration of antibiotics are indicated.

The patient subsequently presented to her cardiologist's office for routine annual follow-up. An echocardiogram revealed new right ventricular outflow tract obstruction, moderate right ventricular hypertension, and an organized mass associated with the TPV. Given concern for endocarditis, she was admitted to the inpatient cardiology floor for further evaluation (Figure 1). Three sets of large-volume aerobic and anaerobic blood cultures were obtained and the patient subsequently started on a course of empiric vancomycin (4 days, 15 mg/kg q8h IV), cefepime (4 days, 50 mg/kg q8h IV), and synergistic gentamicin (2 days, 1 mg/kg q8h IV). The decision was made to discontinue gentamicin on hospital day three, as the risks to her residual hearing were felt to outweigh the benefits.

Blood cultures drawn at the time of admission prior to IV antibiotic administration as well as those collected on the following 4 days consistently recovered no microbial growth. mNGS testing of patient blood plasma was pursued through a commercial vendor (Karius), and failed to detect any microorganisms at statistically significant levels. No subthreshold microbial DNA was reported. Targeted Bartonella PCR from the blood (ARUP Laboratories) was also negative.

During the course of hospitalization, it was hypothesized that the patient's endocarditis resulted from an amoxicillin-sensitive organism that had been suppressed by the patient's recent course of amoxicillin. Cefepime was discontinued in favor of more narrow spectrum ceftriaxone, and vancomycin was transitioned to daptomycin for ease of home administration. Following 6 weeks of therapy, the original conduit with the infected TPV was explanted and a new pulmonary valve placed. Direct surgical inspection of the valve noted vegetations, although microbiologic cultures from intraoperative samples were negative for growth. Tissue from the valve was sent to the University of Washington Molecular Microbiology laboratory for further evaluation.

Diagnostic Assessment

Broad-range bacterial PCR was performed essentially as previously described (18) and DNA extraction was confirmed by amplification of the human beta globin gene. A single pair of broad-range primers targeting the 16S ribosomal DNA (rDNA) amplified two distinct products of 371 and 411 nucleotides (nt) as visualized by capillary electropheresis. Bidirectional Sanger sequencing was performed, respectively, yielding forward and reverse reads of 326 nt (295 bases with quality value > 20) and 335 (303 bases with quality value > 20). BLAST comparison (19) of the contig formed from these reads against the NCBI 16S nucleotide database indicated 99.15% nucleotide identity over the full length of the contig to a Streptococcus cristatus sequence (KF933778) and 98.3% identity to a S. cristatus type strain (ATCC 51100, NR_042771). The next-nearest matches were to more genetically dissimilar S. timonensis strains, with a maximum percent identity of 97.46% nucleotides (NZ_CABKWP010000001).

Given the presence of multiple PCR products, secondary signals in the sequencing reactions, and ambiguity of species identification, clinical NGS of the 16S-amplified product was performed reflexively (20) on an Illumina MiSeq with a 500 cycle kit. The NGS amplicon sequencing assay generated 309,392 paired-end reads, which were reduced to 228,884 after quality filtration and chimera removal (Table 1). The assay identified two sequences (Genbank Accessions MT657947 and MT657948) present in the specimen (97.2% of total filtered reads) but absent from the paired extraction control (NTC, Table 1). These sequences were only 90.88% identical to each other, differing by 2 single nucleotide indels and 26 single nucleotide polymorphisms (Figure 2). The dominant sequence (4.6-fold more abundant, 285 nt) was 100% identical to the corresponding region of the broad-range bacterial PCR product and 98.6% identical to S. cristatus type strain ATCC 51100 (NR_042771). The less abundant sequence (287 nt) was 90.88% identical to the original PCR product (Figure 2), but 100% identical to a type strain of Streptococcus oligofermentans (AS 1.3089, NR_103943), a heterotypic synonym of S. cristatus (21), and to other S. cristatus records. These findings supported the diagnosis of a polyclonal endocarditis with two genetically distinct strains of S. cristatus.

TABLE 1
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Table 1. Summary of 16S NGS data.

FIGURE 2
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Figure 2. Sequence alignment from Sanger and next generation sequencing reactions. Alignment of the two S. cristatus sequences detected by NGS (predominant sequence variant, sv-001; secondary sequence variant, sv-002) and the Sanger sequenced 16S rDNA PCR product are presented with gaps indicated by dashes and nucleotides conserved across all three sequences identified by asterixis.

Discussion

The pathogen identified in this case, S. cristatus, is a viridans streptococcus and member of the S. mitis group (S. cristatus clade) (21) that grows in poly-microbial periodontal biofilms, often with other oral streptococci (2224). Viridans streptococci are an important cause of endocarditis and several cases of endocarditis specifically caused by S. cristatus have been reported (2528). As exemplified by this case, S. cristatus endocarditis is frequently sub-acute (2527), may be poly-streptococcal (25), and should respond to beta-lactam antibiotics (25, 27). Although such infections can occur subsequent to pneumonia (25), cases of S. cristatus endocarditis involving native valves without antecedent pathology have also been reported (25, 26). The 16S rDNA NGS sequencing results here highlight inherent challenges in identifying specific S. mitis group members owing to significant sequence diversity in the 16S rDNA gene (the target for broad-range bacterial PCR), and multiple name changes that have occurred within this group (21).

This case is notable for the discordance between conventional and mNGS diagnostic techniques. Broad-range bacterial PCR performed on DNA extracted from lesional tissue surrounding the prosthetic valve provided an effective diagnosis. The negative result from plasma mNGS testing was unexpected, given the identification of bacteria from tissue directly interfacing with a high-flow region of the blood stream. Although endocarditis would theoretically provide an optimal situation for release of cfDNA from a pathogen into the blood, S. cristatus cfDNA remained below the limit of detection for mNGS. One explanatory hypothesis is that the biofilm matrix of S. cristatus trapped extracellular pathogen DNA (22), preventing its release into the blood. Alternatively, pathogen cfDNA may have proven unstable after collection and could have degraded before mNGS testing was performed (15).

It is unclear whether clearance of microbial cfDNA could account for the negative mNGS assay. Little is known about the pharmacodynamics of microbial cfDNA, although reports have detected microbial cfDNA for at least 2 weeks and as long as 36 days after treatment of endocarditis (29, 30). Inferring clearance in this patient's case is complicated because when she was treated for pneumonia, she did not have evidence of endocarditis; rather, she later presented with increased pulmonary valve obstruction and a new vegetation subsequent to treatment, suggesting progression of the infection despite initial therapy with unknown effects on microbial cfDNA concentration. Detection of 16S amplicons from the explanted specimen demonstrates that intact microbial DNA is present, at least within bacteria on the valve.

Regardless of the root cause, this finding is consistent with a recent analysis that reported plasma mNGS was negative in seven cases of endocarditis (4 culture-negative) and provided discordant results in one case (13). These discrepancies illustrate the limitations of microbial diagnosis performed outside the context of infected tissue. Other reported pitfalls of mNGS testing include reporting clinically irrelevant organisms in as many as 45% of positive plasma mNGS assays (13) and potential negative impacts, such as unnecessary treatment or emergency department evaluation (4). These findings raise important questions about the clinical utility of plasma mNGS suggested by earlier studies (31).

All clinically available mNGS assays for pathogens available at present are performed on paucicellular specimens (5, 32). While we are aware of reports of mNGS performed directly on cellular patient specimens [summarized in (32)], we do not anticipate such specimen types will be available for clinical care any time soon. The reported read counts for pathogens in such specimens, when detected, are exceptional low compared to the human nucleic acid—generally much <0.01% of total reads, even when relatively high copy viruses are identified (32)—emphasizing the risk that pathogens will be masked by high-abundance human nucleic acids, the importance of a paired NTC for analysis, and the need for firmly established reporting thresholds.

Laboratory stewardship requires correctly matching patient populations, specimen types, and testing modalities that are most likely to establish a diagnosis while minimizing turnaround time. Such stewardship is particularly important in selecting molecular testing for infectious diseases, both to speed results for acutely ill patients and to contain health care costs as hospitals come under increasing fiscal pressure. While plasma-based mNGS presents opportunities for molecular diagnosis of disease while minimizing invasive procedures (11), in this case it failed to establish the proper diagnosis, despite gross evidence of an infectious process that directly contacted the patient bloodstream. Physicians should be mindful that negative results from mNGS do not rule out the presence of infection, and that in many cases conventional, tissue-based molecular approaches may provide a definitive diagnosis.

Data Availability Statement

The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: https://www.ncbi.nlm.nih.gov/genbank/, MT657947 https://www.ncbi.nlm.nih.gov/genbank/, MT657948.

Ethics Statement

Ethical review and approval was not required for the study on human participants in accordance with the local legislation and institutional requirements. Written informed consent to participate in this study was provided by the participants' legal guardian/next of kin. Written informed consent was obtained from the parent of the patient for publication of this case report.

Author Contributions

JL, SS, and RM conceptualized the project, prepared the manuscript, and analyzed the data. CN, GL, and DK were responsible for the patient's clinical care and prepared the manuscript. MS and BC prepared the manuscript and analyzed the data. All authors contributed to the article and approved the submitted version.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

1. Miller S, Naccache SN, Samayoa E, Messacar K, Arevalo S, Federman S, et al. Laboratory validation of a clinical metagenomic sequencing assay for pathogen detection in cerebrospinal fluid. Genome Res. (2019) 29:831–42. doi: 10.1101/gr.238170118

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Oechslin CP, Lenz N, Liechti N, Ryter S, Agyeman P, Bruggmann R, et al. Limited correlation of shotgun metagenomics following host depletion and routine diagnostics for viruses and bacteria in low concentrated surrogate and clinical samples. Front Cell Infect Microbiol. (2018) 8:375. doi: 10.3389/fcimb.201800375

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Wilson MR, Sample HA, Zorn KC, Arevalo S, Yu G, Neuhaus J, et al. Clinical metagenomic sequencing for diagnosis of meningitis and encephalitis. N Engl J Med. (2019) 380:2327–40. doi: 10.1056/NEJMoa1803396

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Hogan CA, Yang S, Garner OB, Green DA, Gomez CA, Dien Bard J, et al. Clinical impact of metagenomic next-generation sequencing of plasma cell-free DNA for the diagnosis of infectious diseases: a multicenter retrospective cohort study. Clin Infect Dis. (2020). doi: 10.1093/cid/ciaa035. [Epub ahead of print].

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Greninger AL, Naccache SN. Metagenomics to Assist in the diagnosis of bloodstream infection. J Appl Lab Med. (2019) 3:643–53. doi: 10.1373/jalm.2018026120

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Kufner V, Plate A, Schmutz S, Braun DL, Günthard HF, Capaul R, et al. Two years of viral metagenomics in a tertiary diagnostics unit: evaluation of the first 105 cases. Genes. (2019) 10:661. doi: 10.3390/genes10090661

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Muller WJ, Chaudhury S. Utility of metagenomic next generation sequencing (mNGS) of plasma for infectious pathogens. Clin Infect Dis. (2020). doi: 10.1093/cid/ciaa218. [Epub ahead of print].

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Barrett SLR, Holmes EA, Long DR, Shean RC, Bautista GE, Ravishankar S, et al. Cell free DNA from respiratory pathogens is detectable in the blood plasma of cystic fibrosis patients. Sci Rep. (2020) 10:6903. doi: 10.1038/s41598-020-63970-0

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Burnham P, Dadhania D, Heyang M, Chen F, Westblade LF, Suthanthiran M, et al. Urinary cell-free DNA is a versatile analyte for monitoring infections of the urinary tract. Nat Commun. (2018) 9:2412. doi: 10.1038/s41467-018-04745-0

PubMed Abstract | CrossRef Full Text

10. Zhang X-X, Guo L-Y, Liu L-L, Shen A, Feng W-Y, Huang W-H, et al. The diagnostic value of metagenomic next-generation sequencing for identifying Streptococcus pneumoniae in paediatric bacterial meningitis. BMC Infect Dis. (2019) 19:495. doi: 10.1186/s12879-019-4132-y

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Hong DK, Blauwkamp TA, Kertesz M, Bercovici S, Truong C, Banaei N. Liquid biopsy for infectious diseases: sequencing of cell-free plasma to detect pathogen DNA in patients with invasive fungal disease. Diagn Microbiol Infect Dis. (2018) 92:210–3. doi: 10.1016/j.diagmicrobio.2018.06009

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Chiu CY, Miller SA. Clinical metagenomics. Nat Rev Genet. (2019) 20:341–55. doi: 10.1038/s41576-019-0113-7

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Lee RA, Al Dhaheri F, Pollock NR, Sharma TS. Assessment of the clinical utility of plasma metagenomic next-generation sequencing in a pediatric hospital population. J Clin Microbiol. (2020) 58:e00419–20. doi: 10.1101/2020.03.06981720

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Miao Q, Ma Y, Wang Q, Pan J, Zhang Y, Jin W, et al. Microbiological diagnostic performance of metagenomic next-generation sequencing when applied to clinical practice. Clin Infect Dis. (2018) 67:S231–40. doi: 10.1093/cid/ciy693

CrossRef Full Text | Google Scholar

15. Gu W, Miller S, Chiu CY. Clinical metagenomic next-generation sequencing for pathogen detection. Annu Rev Pathol. (2019) 14:319–38. doi: 10.1146/annurev-pathmechdis-012418-012751

CrossRef Full Text | Google Scholar

16. Clarridge JE. Impact of 16S rRNA gene sequence analysis for identification of bacteria on clinical microbiology and infectious diseases. Clin Microbiol Rev. (2004) 17:840–62. doi: 10.1128/CMR.17.4.840-8622004

CrossRef Full Text | Google Scholar

17. McLean K, Rosenthal CA, Sengupta D, Owens J, Cookson BT, Hoffman NG, et al. Improved species-level clinical identification of Enterobacteriaceae through broad-range dnaJ PCR and sequencing. J Clin Microbiol. (2019) 57:e00986–19. doi: 10.1128/JCM00986-19

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Lee SA, Plett SK, Luetkemeyer AF, Borgo GM, Ohliger MA, Conrad MB, et al. Bartonella quintana aortitis in a man with AIDS, diagnosed by needle biopsy and 16S rRNA gene amplification. J Clin Microbiol. (2015) 53:2773–6. doi: 10.1128/JCM02888-14

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ. Basic local alignment search tool. J Mol Biol. (1990) 215:403–10. doi: 10.1016/S0022-2836(05)80360-2

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Cummings LA, Kurosawa K, Hoogestraat DR, SenGupta DJ, Candra F, Doyle M, et al. Clinical next generation sequencing outperforms standard microbiological culture for characterizing polymicrobial samples. Clin Chem. (2016) 62:1465–73. doi: 10.1373/clinchem.2016258806

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Jensen A, Scholz CFP, Kilian M. Re-evaluation of the taxonomy of the Mitis group of the genus Streptococcus based on whole genome phylogenetic analyses, and proposed reclassification of Streptococcus dentisani as Streptococcus oralis subsp. dentisani comb. nov., Streptococcus tigurinus as Streptococcus oralis subsp. tigurinus comb. nov., and Streptococcus oligofermentans as a later synonym of Streptococcus cristatus. Int J Syst Evol Microbiol. (2016) 66:4803–20. doi: 10.1099/ijsem.0001433

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Kreth J, Giacaman RA, Raghavan R, Merritt J. The road less traveled - defining molecular commensalism with Streptococcus sanguinis. Mol Oral Microbiol. (2017) 32:181–96. doi: 10.1111/omi12170

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Handley PS, Correia FF, Russell K, Rosan B, DiRienzo JM. Association of a novel high molecular weight, serine-rich protein (SrpA) with fibril-mediated adhesion of the oral biofilm bacterium Streptococcus cristatus. Oral Microbiol Immunol. (2005) 20:131–40. doi: 10.1111/j.1399-302X.2004.00190x

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Wang B, Wu J, Lamont RJ, Lin X, Xie H. Negative correlation of distributions of Streptococcus cristatus and Porphyromonas gingivalis in subgingival plaque. J Clin Microbiol. (2009) 47:3902–6. doi: 10.1128/JCM00072-09

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Matthys C, Claeys G, Verschraegen G, Wauters G, Vogelaers D, De Baere T, et al. Streptococcus cristatus isolated from a resected heart valve and blood cultures: case reports and application of phenotypic and genotypic techniques for identification. Acta Clinica Belgica. (2006) 61:196–200. doi: 10.1179/acb.2006034

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Bele D, Kojc N, Perše M, Cerne Cerček A, Lindič J, Aleš Rigler A, et al. Diagnostic and treatment challenge of unrecognized subacute bacterial endocarditis associated with ANCA-PR3 positive immunocomplex glomerulonephritis: a case report and literature review. BMC Nephrol. (2020) 21:40. doi: 10.1186/s12882-020-1694-2

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Menon T, Gopalakrishnan S, Ravi MS. Native valve endocarditis caused by Streptococcus oligofermentans: a case report. JMM Case Rep. (2015) 2:e000057. doi: 10.1099/jmmcr.0000057

CrossRef Full Text | Google Scholar

28. Isaksson J, Rasmussen M, Nilson B, Stadler LS, Kurland S, Olaison L, et al. Comparison of species identification of endocarditis associated viridans streptococci using rnpB genotyping and 2 MALDI-TOF systems. Diagn Microbiol Infect Dis. (2015) 81:240–5. doi: 10.1016/j.diagmicrobio.2014.12007

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Shah P, Ruffin F, Seng H, Hollemon D, Winn L, Drennan C, et al. Direct detection and quantification of bacterial cell-free DNA in patients with infective endocarditis (IE) using the Karius plasma next generation sequencing (NGS) test. Open Forum Infect Dis. (2018) 5:S12. doi: 10.1093/ofid/ofy209026

CrossRef Full Text | Google Scholar

30. Downey RD, Russo SM, Hauger SB, Murphey DK, Marx G, Huynh T, et al. Identification of an emergent pathogen, Bartonella vinsonii, using next-generation sequencing in a patient with culture-negative endocarditis. J Pediatr Infect Dis Soc. (2020). doi: 10.1093/jpids/piaa014. [Epub ahead of print].

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Abril MK, Barnett AS, Wegermann K, Fountain E, Strand A, Heyman BM, et al. Diagnosis of Capnocytophaga canimorsus sepsis by whole-genome next-generation sequencing. Open Forum Infect Dis. (2016) 3:ofw144. doi: 10.1093/ofid/ofw144

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Simner PJ, Miller S, Carroll KC. Understanding the promises and hurdles of metagenomic next-generation sequencing as a diagnostic tool for infectious diseases. Clin Infect Dis. (2018) 66:778–88. doi: 10.1093/cid/cix881

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: metagenomics, endocarditis (all infectious agents), 22q11 deletion syndrome, broad-range 16S rDNA PCR, cell free DNA (cfDNA), next-generating sequencing

Citation: Lieberman JA, Naureckas Li C, Lamb GS, Kane DA, Stewart MK, Mamedov RA, Cookson BT and Salipante SJ (2021) Case Report: Comparison of Plasma Metagenomics to Bacterial PCR in a Case of Prosthetic Valve Endocarditis. Front. Pediatr. 8:575674. doi: 10.3389/fped.2020.575674

Received: 24 June 2020; Accepted: 30 November 2020;
Published: 07 January 2021.

Edited by:

Vladimir Lazarevic, Geneva University Hospitals (HUG), Switzerland

Reviewed by:

Andrew Handel, Stony Brook Children's Hospital, United States
Teresa Street, University of Oxford, United Kingdom

Copyright © 2021 Lieberman, Naureckas Li, Lamb, Kane, Stewart, Mamedov, Cookson and Salipante. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Joshua A. Lieberman, joshuaal@uw.edu

These authors have contributed equally to this work