Evidence map›Paper›PMID 21283679›Full record

ArticlePloS one2011

A sensitive assay for virus discovery in respiratory clinical samples.

Michel de Vries, Martin Deijs, Marta Canuti, Barbera D C van Schaik, Nuno R Faria, Martijn D B van de Garde, Loes C M Jachimowski, Maarten F Jebbink, Marja Jakobs, Angela C M Luyf and 10 more

Abstract read
In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

48 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Agnostic Sequencing for Detection of Viral Pathogens.Clinical microbiology reviews · 2023
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Observational
  16. Review
  17. Article
  18. Article
  19. Article
  20. Enterovirus D68 in Viet Nam (2009-2015).Wellcome open research · 2017
    Article
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

20 authors.

Michel de VriesLaboratory of Experimental Virology, Department of Medical Microbiology, Center for Infection and Immunity Amsterdam, Academic Medical Center of the University of Amsterdam, Amsterdam, The Netherlands.
Martin Deijs
Marta Canuti
Barbera D C van Schaik
Nuno R Faria
Martijn D B van de Garde
Loes C M Jachimowski
Maarten F Jebbink
Marja Jakobs
Angela C M Luyf
Frank E J Coenjaerts
Eric C J Claas
Richard Molenkamp
Sylvie M Koekkoek
Christine Lammens
Frank Leus
Herman Goossens
Margareta Ieven
Frank Baas
Lia van der Hoek

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In 5-40% of respiratory infections in children, the diagnostics remain negative, suggesting that the patients might be infected with a yet unknown pathogen. Virus discovery cDNA-AFLP (VIDISCA) is a virus discovery method based on recognition of restriction enzyme cleavage sites, ligation of adaptors and subsequent amplification by PCR. However, direct discovery of unknown pathogens in nasopharyngeal swabs is difficult due to the high concentration of ribosomal RNA (rRNA) that acts as competitor. In the current study we optimized VIDISCA by adjusting the reverse transcription enzymes and decreasing rRNA amplification in the reverse transcription, using hexamer oligonucleotides that do not anneal to rRNA. Residual cDNA synthesis on rRNA templates was further reduced with oligonucleotides that anneal to rRNA but can not be extended due to 3'-dideoxy-C6-modification. With these modifications >90% reduction of rRNA amplification was established. Further improvement of the VIDISCA sensitivity was obtained by high throughput sequencing (VIDISCA-454). Eighteen nasopharyngeal swabs were analysed, all containing known respiratory viruses. We could identify the proper virus in the majority of samples tested (11/18). The median load in the VIDISCA-454 positive samples was 7.2 E5 viral genome copies/ml (ranging from 1.4 E3-7.7 E6). Our results show that optimization of VIDISCA and subsequent high-throughput-sequencing enhances sensitivity drastically and provides the opportunity to perform virus discovery directly in patient material.

Indexed as

Diagnostic Techniques, Respiratory SystemDNA, ComplementaryDNA, ViralHigh-Throughput Nucleotide SequencingPolymerase Chain ReactionRespiratory Tract InfectionsRNA, RibosomalSensitivity and SpecificityViral LoadVirusesDNA, ComplementaryDNA, ViralRNA, Ribosomal

Identifiers

PMID21283679
PMCPMC3025933

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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.