ArticleScientific reports2020
A metagenomics-based diagnostic approach for central nervous system infections in hospital acute care setting.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 3 of them syntheses that pooled it.
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Who cites it
27 citing papers in PubMed, 3 syntheses or guidelines pooled it, 39 citations in OpenAlex.
- The added value of metagenomic next-generation sequencing in central nervous system infections: a systematic review of case reports.Infection · 2025Pooled it
- Molecular assays for the diagnosis of sepsis in neonates: a diagnostic test accuracy review.The Cochrane database of systematic reviews · 2025Pooled it
- Metagenomics next-generation sequencing for the diagnosis of central nervous system infection: A systematic review and meta-analysis.Frontiers in neurology · 2022Pooled it
- Recent advances in diagnostic technologies for postoperative central nervous system infections: a review.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025Review
- Molecular diagnostic methods for rapid diagnosis of central nervous system infections.Frontiers in medical technology · 2025Review
- Plasma cell-free DNA testing in diagnosing Listeria rhombencephalitis in a CSF PCR-negative patient: a case report.BMJ neurology open · 2025Article
- Comparative study of pathogen detection methods for central nervous system infections: laboratory testing of tuberculous meningitis.BMC infectious diseases · 2024Article
- PCR-Based Microarray Enhances Diagnosis of Culture-Negative Biopsied Tissue in Patients with Invasive Mold Infections: Real-World Experience in a Tertiary Medical Center.Journal of fungi (Basel, Switzerland) · 2024Article
- Quantitative and dynamic profiling of human gut core microbiota by real-time PCR.Applied microbiology and biotechnology · 2024Article
- Integrating DNA/RNA microbe detection and host response for accurate diagnosis, treatment and prognosis of childhood infectious meningitis and encephalitis.Journal of translational medicine · 2024Article
- Non-Targeted RNA Sequencing: Towards the Development of Universal Clinical Diagnosis Methods for Human and Veterinary Infectious Diseases.Veterinary sciences · 2024Review
- Article
- Next-Generation Sequencing for the Detection of Microbial Agents in Avian Clinical Samples.Veterinary sciences · 2023Review
- UltraSEQ, a Universal Bioinformatic Platform for Information-Based Clinical Metagenomics and Beyond.Microbiology spectrum · 2023Article
- Clinical metagenomics-challenges and future prospects.Frontiers in microbiology · 2023Review
- Clinical application and drug-use-guidance value of metagenomic next-generation sequencing in central nervous system infection.American journal of translational research · 2023Article
- Next-generation sequencing: what are the needs in routine clinical microbiology? A survey among clinicians involved in infectious diseases practice.Frontiers in medicine · 2023Article
- Background Filtering of Clinical Metagenomic Sequencing with a Library Concentration-Normalized Model.Microbiology spectrum · 2022Article
- Diagnosis of pathogens causing bacterial meningitis using Nanopore sequencing in a resource-limited setting.Annals of clinical microbiology and antimicrobials · 2022Article
- The Cost of Suspected and Confirmed Bacterial Meningitis Cases Treated at Jimma University Medical Center, Ethiopia.Ethiopian journal of health sciences · 2022Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The etiology of central nervous system (CNS) infections such as meningitis and encephalitis remains unknown in a large proportion of cases partly because the diversity of pathogens that may cause CNS infections greatly outnumber available test methods. We developed a metagenomic next generation sequencing (mNGS)-based approach for broad-range detection of pathogens associated with CNS infections suitable for application in the acute care hospital setting. The analytical sensitivity of mNGS performed on an Illumina MiSeq was assessed using simulated cerebrospinal fluid (CSF) specimens (n = 9). mNGS data were then used as a training dataset to optimize a bioinformatics workflow based on the IDseq pipeline. For clinical validation, residual CSF specimens (n = 74) from patients with suspected CNS infections previously tested by culture and/or PCR, were analyzed by mNGS. In simulated specimens, the NGS reads aligned to pathogen genomes in IDseq were correlated to qPCR C
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