scholarly journals Direct Diagnosis of Echovirus 12 Meningitis Using Metagenomic Next Generation Sequencing

Pathogens ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 610
Author(s):  
Madjid Morsli ◽  
Christine Zandotti ◽  
Aurelie Morand ◽  
Philippe Colson ◽  
Michel Drancourt
Keyword(s):  
Cerebrospinal Fluid ◽  
Case Report ◽  
Next Generation Sequencing ◽  
Point Of Care ◽  
Pediatric Population ◽  
Next Generation ◽  
Viral Genotype ◽  
Acute Meningitis ◽  
Current Point ◽  
Generation Sequencing

The current point-of-care diagnosis of enterovirus meningitis does not identify the viral genotype, which is prognostic. In this case report, more than 81% of an Echovirus 12 genome were detected and identified by metagenomic next-generation sequencing, directly from the cerebrospinal fluid collected in a 6-month-old child with meningeal syndrome and meningitis: introducing Echovirus 12 as an etiological agent of acute meningitis in the pediatric population.

scholarly journals Next-Generation Sequencing Could be a Promising Diagnostic Approach for Pathogen Detection: Pathogenic Analysis of Pediatric Bacterial Meningitis by Next-Generation Sequencing Technology Directly from Cerebrospinal Fluid Specimens

2018 ◽  
Author(s):  
Ling-yun Guo ◽  
Yong-jun Li ◽  
Lin-lin Liu ◽  
Hong-long Wu ◽  
Jia-li Zhou ◽  
...  
Keyword(s):  
Cerebrospinal Fluid ◽  
Next Generation Sequencing ◽  
Bacterial Meningitis ◽  
Infectious Diseases ◽  
Pediatric Population ◽  
Diagnostic Approach ◽  
Next Generation ◽  
Promising Alternative ◽  
Causative Microorganism ◽  
Generation Sequencing

AbstractBackgroundBacterial meningitis remains one of the major challenges in infectious diseases, leading to sequel in many cases. A prompt diagnosis of the causative microorganism is critical to significantly improve outcome of bacterial meningitis. Although various targeted tests for cerebrospinal fluid (CSF) samples are available, it is a big problem for the identification of etiology of bacterial meningitis.MethodsHere we describe the use of unbiased sequence analyses by next-generation sequencing (NGS) technology for the identification of infectious microorganisms from CSF samples of pediatric bacterial meningitis patients in the Department of Infectious Diseases from Beijing Children’s Hospital.ResultsIn total, we had 99 bacterial meningitis patients in our study, 55 (55.6%) of these were etiologically confirmed by clinical microbiology methods. Combined with NGS, 68 cases (68.7%) were etiologically confirmed. The main pathogens identified in this study were Streptococcus pneumoniae (n=29), group B streptococcus (n=15), Staphylococcus aureus (n=7), Escherichia coli (n=7). In addition, two cases with cytomegalovirus infection and one with Taenia saginata asiatica were confirmed by NGS.ConclusionsNGS could be a promising alternative diagnostic approach for critically ill patients suffering from bacterial meningitis in pediatric population.SummaryWe conducted the study for the identification of microorganisms by next-generation sequencing directly from CSF samples of pediatric bacterial meningitis patients. And the study showed that NGS could be a promising alternative diagnostic approach for bacterial meningitis in pediatric population.

scholarly journals Diagnosis of Streptococcus suis Meningoencephalitis with metagenomic next-generation sequencing of the cerebrospinal fluid: a case report with literature review

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Xiaobo Zhang ◽  
Zhaoping Wu ◽  
Kai Wang
Keyword(s):  
Cerebrospinal Fluid ◽  
Case Report ◽  
Next Generation Sequencing ◽  
Early Diagnosis ◽  
Disease Onset ◽  
Streptococcus Suis ◽  
Diagnostic Techniques ◽  
Next Generation ◽  
Gram Staining ◽  
Generation Sequencing

Abstract Background Streptococcus suis meningoencephalitis is a zoonotic disease that mostly infects slaughterhouse workers. Rapid diagnosis of Streptococcus suis meningoencephalitis is critical for effective clinical management of this condition. However, the current diagnostic techniques are not effective for early diagnosis of this condition. To the best of our knowledge, the use of cerebrospinal fluid metagenomic next generation sequencing in the diagnosis of Streptococcus suis meningoencephalitis has been rarely reported. Case presentation Here, we report a case of Streptococcus suis meningoencephalitis in a 51-year-old female patient. The patient had a history of long-term contact with pork and had a three-centimeter-long wound on her left leg prior to disease onset. Conventional tests, including blood culture, gram staining and cerebrospinal fluid culture, did not reveal bacterial infection. However, Streptococcus suis was detected in cerebrospinal fluid using metagenomic next generation sequencing. Conclusions Metagenomic next generation sequencing is a promising approach for early diagnosis of central nervous system infections. This case report indicates that cases of clinical meningeal encephalitis of unknown cause can be diagnosed through this method.

scholarly journals 329. Performance of Next Generation Sequencing in Isolating a Pathogen in Pediatric Osteoarticular Infections

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S236-S237
Author(s):  
Nanda Ramchandar ◽  
Jessica Burns ◽  
Andrew Pennock ◽  
Christopher R Cannavino ◽  
Lauge Farnaes
Keyword(s):  
Next Generation Sequencing ◽  
Septic Arthritis ◽  
Standard Care ◽  
Pediatric Population ◽  
Single Site ◽  
Acute Osteomyelitis ◽  
Next Generation ◽  
Pathogenic Organism ◽  
Osteoarticular Infections ◽  
Generation Sequencing

Abstract Background Osteoarticular infections are often encountered in the pediatric population. Therapy is guided by isolation of a putative organism, however, operative cultures are often negative. Next generation sequencing (NGS) allows for more sensitive sampling of body compartments generally considered sterile. We sought to evaluate the utility of NGS in comparison to culture in detecting a pathogenic organism in acute osteomyelitis and septic arthritis in children. Methods This was a single-site study to evaluate the utility of NGS in comparison to culture in detecting a pathogenic organism in acute osteomyelitis and septic arthritis in children. Eligible patients were all patients with osteomyelitis or septic arthritis admitted to Rady Children’s Hospital from July 2019 through July 2020. We excluded any patients with bone or joint surgery within 30 days prior to admission. Operative samples were chosen at the surgeon’s discretion (joint aspirate, synovium, or bone) based on operative findings. We compared NGS testing to standard care culture from the same site. Results We enrolled 41 subjects. NGS of the operative samples identified a pathogen in 26 (63.4%) patients versus 18 (43.9%) by culture. Operative culture missed the diagnosis in 10 cases, though PCR identified the organism in 6 of those cases (5 were cases in which Kingella kingae was identified). In 4 subjects, NGS identified a putative organism where standard care testing (either PCR or culture) was negative. NGS was falsely positive in 1 subject and falsely negative for one other subject. Sensitivity was 96.3% (CI 95%, 81.0–99.9%) and Specificity was 92.9% (CI 95%, 66.1–99.8) for NGS versus 64.3% (CI 95%, 44.1–81.4) and 84.6% (CI 95%, 54.6–99.9%) for culture respectively. Conclusion In this single site prospective study of pediatric osteoarticular infections, we demonstrate improved sensitivity and specificity of NGS testing when compared to standard culture. Disclosures All Authors: No reported disclosures

scholarly journals Case Report: Next generation sequencing identifies a NAB2-STAT6 fusion in Glioblastoma

2016 ◽  
Vol 11 (1) ◽  
Author(s):  
Phedias Diamandis ◽  
Ruben Ferrer-Luna ◽  
Raymond Y. Huang ◽  
Rebecca D. Folkerth ◽  
Azra H. Ligon ◽  
...  
Keyword(s):  
Case Report ◽  
Next Generation Sequencing ◽  
Next Generation ◽  
Generation Sequencing

scholarly journals Haemophilus influenzae Meningitis Direct Diagnosis by Metagenomic Next-Generation Sequencing: A Case Report

Pathogens ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 461
Author(s):  
Madjid Morsli ◽  
Quentin Kerharo ◽  
Jeremy Delerce ◽  
Pierre-Hugues Roche ◽  
Lucas Troude ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Haemophilus Influenzae ◽  
Real Time ◽  
Real Time Pcr ◽  
Point Of Care ◽  
Next Generation ◽  
Oxford Nanopore ◽  
Sequence Encoding ◽  
Oxford Nanopore Technologies ◽  
Generation Sequencing

Current routine real-time PCR methods used for the point-of-care diagnosis of infectious meningitis do not allow for one-shot genotyping of the pathogen, as in the case of deadly Haemophilus influenzae meningitis. Real-time PCR diagnosed H. influenzae meningitis in a 22-year-old male patient, during his hospitalisation following a more than six-metre fall. Using an Oxford Nanopore Technologies real-time sequencing run in parallel to real-time PCR, we detected the H. influenzae genome directly from the cerebrospinal fluid sample in six hours. Furthermore, BLAST analysis of the sequence encoding for a partial DUF417 domain-containing protein diagnosed a non-b serotype, non-typeable H.influenzae belonging to lineage H. influenzae 22.1-21. The Oxford Nanopore metagenomic next-generation sequencing approach could be considered for the point-of-care diagnosis of infectious meningitis, by direct identification of pathogenic genomes and their genotypes/serotypes.

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