ArticleScientific reports2019
A method to identify respiratory virus infections in clinical samples using next-generation sequencing.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
29 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Detection of respiratory viruses directly from clinical samples using next-generation sequencing: A literature review of recent advances and potential for routine clinical use.Reviews in medical virology · 2022Pooled it
- ColdZyme® reduces viral load and upper respiratory tract infection duration and protects airway epithelia from infection with human rhinoviruses.The Journal of physiology · 2025Trial
- Evaluation of diagnostic performance of comprehensive respiratory virus panel: comparison of next-generation-sequencing to real-time polymerase chain reaction for detection of respiratory viruses.Annals of clinical microbiology and antimicrobials · 2026Article
- Rigorous methodological approaches to address knowledge gaps in exercise, nutrition, immunity, and infection risk research.Physiological reports · 2025Review
- The respiratory tract virome: unravelling the role of viral dark matter in respiratory health and disease.European respiratory review : an official journal of the European Respiratory Society · 2025Review
- Advances in Diagnostic Techniques for Influenza Virus Infection: A Comprehensive Review.Tropical medicine and infectious disease · 2025Review
- Multiplex detection of clinical pathogen nucleic acids via a three-way junction structure-based nucleic acid circuit.Analytical and bioanalytical chemistry · 2023Article
- Metagenomics characterization of respiratory viral RNA pathogens in children under five years with severe acute respiratory infection in the Free State, South Africa.Journal of medical virology · 2023Article
- How Toll-like receptors influence Parkinson's disease in the microbiome-gut-brain axis.Frontiers in immunology · 2023Review
- Next Generation Sequencing Approaches to Characterize the Respiratory Tract Virome.Microorganisms · 2022Review
- LW-CovidNet: Automatic covid-19 lung infection detection from chest X-ray images.IET image processing · 2022Article
- From Clinical Specimen to Whole Genome Sequencing of A(H3N2) Influenza Viruses: A Fast and Reliable High-Throughput Protocol.Vaccines · 2022Article
- PCR-based diagnosis of respiratory virus in postsurgical septic patients: A preliminary study before SARS-CoV-2 pandemic.Medicine · 2022Article
- Article
- Lectins Are the Sparkle of Hope for Combating Coronaviruses and the Global COVID-19.Advanced pharmaceutical bulletin · 2022Review
- Article
- Influenza A, Influenza B, and SARS-CoV-2 Similarities and Differences - A Focus on Diagnosis.Frontiers in microbiology · 2022Review
- Article
- Fatal visceral disseminated varicella-zoster virus infection in a renal transplant recipient: A case report.World journal of clinical cases · 2021Article
- Utilizing the VirIdAl Pipeline to Search for Viruses in the Metagenomic Data of Bat Samples.Viruses · 2021Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Respiratory virus infections are very common. Such infections impose an enormous economic burden and occasionally lead to death. Furthermore, every few decades, respiratory virus pandemics emerge, putting the entire world population at risk. Thus, there is an urgent need to quickly and precisely identify the infecting agent in a clinical setting. However, in many patients with influenza-like symptoms (ILS) the identity of the underlying pathogen remains unknown. In addition, it takes time and effort to individually identify the virus responsible for the ILS. Here, we present a new next-generation sequencing (NGS)-based method that enables rapid and robust identification of pathogens in a pool of clinical samples without the need for specific primers. The method is aimed at rapidly uncovering a potentially common pathogen affecting many samples with an unidentified source of disease.
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