Evidence map›Paper›PMID 27658193›Full record

ArticlePloS one

Sensitive Detection and Simultaneous Discrimination of Influenza A and B Viruses in Nasopharyngeal Swabs in a Single Assay Using Next-Generation Sequencing-Based Diagnostics.

Jiangqin Zhao, Jikun Liu, Sai Vikram Vemula, Corinna Lin, Jiying Tan, Viswanath Ragupathy, Xue Wang, Christelle Mbondji-Wonje, Zhiping Ye, Marie L Landry and 1 more

Abstract read
In one paragraph

Article in PloS one. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

  1. Article
  2. Agnostic Sequencing for Detection of Viral Pathogens.Clinical microbiology reviews · 2023
    Review
  3. Article
  4. PeerJ · 2022
    Article
  5. Review
  6. Review
  7. Review
  8. The first cell fate decision in pre-implantation mouse embryos.Cell regeneration (London, England) · 2019
    Review
  9. Biographical Feature: Marie-Louise Landry, M.D.Journal of clinical microbiology · 2019
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Jiangqin ZhaoDETTD/OBRR/CBER, Food and Drug Administration, Silver Spring, MD, 20993, United States of America.ORCID http://orcid.org/0000-0003-4672-0735
Jikun LiuDETTD/OBRR/CBER, Food and Drug Administration, Silver Spring, MD, 20993, United States of America.
Sai Vikram VemulaDETTD/OBRR/CBER, Food and Drug Administration, Silver Spring, MD, 20993, United States of America.
Corinna LinDETTD/OBRR/CBER, Food and Drug Administration, Silver Spring, MD, 20993, United States of America.
Jiying TanDETTD/OBRR/CBER, Food and Drug Administration, Silver Spring, MD, 20993, United States of America.
Viswanath RagupathyDETTD/OBRR/CBER, Food and Drug Administration, Silver Spring, MD, 20993, United States of America.
Xue WangDETTD/OBRR/CBER, Food and Drug Administration, Silver Spring, MD, 20993, United States of America.
Christelle Mbondji-WonjeDETTD/OBRR/CBER, Food and Drug Administration, Silver Spring, MD, 20993, United States of America.
Zhiping YeDVP/OVRR/CBER, Food and Drug Administration, Silver Spring, MD, 20993, United States of America.
Marie L LandryDepartment of Laboratory Medicine, Yale University School of Medicine, New Haven, CT, 06520, United States of America.
Indira HewlettDETTD/OBRR/CBER, Food and Drug Administration, Silver Spring, MD, 20993, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reassortment of 2009 (H1N1) pandemic influenza virus (pdH1N1) with other strains may produce more virulent and pathogenic forms, detection and their rapid characterization is critical. In this study, we reported a "one-size-fits-all" approach using a next-generation sequencing (NGS) detection platform to extensively identify influenza viral genomes for diagnosis and determination of novel virulence and drug resistance markers. A de novo module and other bioinformatics tools were used to generate contiguous sequence and identify influenza types/subtypes. Of 162 archived influenza-positive patient specimens, 161(99.4%) were positive for either influenza A or B viruses determined using the NGS assay. Among these, 135(83.3%) were A(H3N2), 14(8.6%) were A(pdH1N1), 2(1.2%) were A(H3N2) and A(pdH1N1) virus co-infections and 10(6.2%) were influenza B viruses. Of the influenza A viruses, 66.7% of A(H3N2) viruses tested had a E627K mutation in the PB2 protein, and 87.8% of the influenza A viruses contained the S31N mutation in the M2 protein. Further studies demonstrated that the NGS assay could achieve a high level of sensitivity and reveal adequate genetic information for final laboratory confirmation. The current diagnostic platform allows for simultaneous identification of a broad range of influenza viruses, monitoring emerging influenza strains with pandemic potential that facilitating diagnostics and antiviral treatment in the clinical setting and protection of the public health.

Identifiers

PMID27658193
PMCPMC5033603

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.