Concordance in the identification of pathogens by next-generation sequencing and conventional microbiology methods among neonates with culture-positive sepsis
JHURANI, D.; KUMAR, S.; MITTAL, V.; SRIVASTAVA, S.; NIRMAL, K.; NANGIA, S.; KAUR, R.; DEBATA, P.; GAIND, R.; KUMAR, V.; AGARWAL, R.; SANKAR, M. J.; JAIN, K.
Show abstract
IntroductionEarly and accurate diagnosis of sepsis through identification of the causative pathogen is vital for the appropriate treatment of infection and avoiding misuse of antibiotics. Due to low microbial load and the presence of host DNA, earlier studies have shown poor concordance between microbiology and metagenomics results in the case of blood samples. In the present study, we standardized the protocol to obtain the concordance between pathogen(s) identified through conventional microbiological culture and those obtained through 16S metagenomic analyses for the blood and blood culture samples obtained from preterm neonates. MethodologyPaired blood samples (in EDTA) and liquid blood culture samples were collected from neonates suspected of sepsis for microbial DNA extraction and conventional blood culture, respectively. Liquid blood culture samples were also used for microbial DNA extraction. DNA was extracted using Qiagen kit with additional steps of pre-extraction host DNA depletion and post extraction cleanup steps with magnetic beads. The extracted microbial DNA was further subjected to 16S rRNA sequencing using the MinION Mk1C platform. ResultsBy using modified protocol, the concentration and quality of DNA improved. Sixteen paired samples were processed. Results obtained through metagenomics and conventional microbiology showed 100% and 87.5% concordance (at genus level) in case of liquid blood culture and blood samples respectively. ConclusionOur study compared and showed high concordance between pathogen identification in paired blood and liquid blood culture samples obtained from preterm neonates with sepsis using microbiological and molecular methods.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Evaluation of flow cytometry for cell count and detection of bacteria in biological fluids. 94%
- Cerebrospinal fluids from healthy pregnant women does not harbor a detectable microbial community 94%
- Rapid nanopore metagenomic sequencing and predictive susceptibility testing of positive blood cultures from intensive care patients with sepsis 94%
Similar papers in this journal
- Improved diagnosis of viral encephalitis in adult and pediatric hematological patients using viral metagenomics 92%
- Benchmark of thirteen bioinformatic pipelines for metagenomic virus diagnostics using datasets from clinical samples 92%
- Prospective evaluation of ID NOW COVID-19 assay used as point-of-care test in an Emergency Department 92%
Similar papers in this journal
- Child health, nutrition and gut microbiota development during the first two years of life; study protocol of a prospective cohort study from the Khyber Pakhtunkhwa, Pakistan 92%
- Bacterial and Fungal Co-Infections among ICU COVID-19 Hospitalized Patients in a Palestinian Hospital: Incidence and Antimicrobial Stewardship 92%
- NAD: Noise-augmented direct sequencing of target nucleic acids by augmenting with noise and selective sampling 92%
Similar papers in this journal
- Assessment of two DNA extraction kits for profiling poultry respiratory microbiota from multiple sample types 94%
- MinION Sequencing of colorectal cancer tumour microbiomes - a comparison with amplicon-based and RNA-Sequencing 93%
- Origin of imported SARS-CoV-2 strains in The Gambia identified from whole genome sequences 93%
Similar papers in this journal
- The clinical utility of two high-throughput 16S rRNA gene sequencing workflows for taxonomic assignment of unidentifiable bacterial pathogens in MALDI-TOF MS 94%
- A multicenter evaluation of a novel microfluidic rapid AST assay for Gram-negative bloodstream infections 93%
- Genomic investigation reveals contaminated detergent as the source of an ESBL-producing Klebsiella michiganensis outbreak in a neonatal unit 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.