Evidence map›Paper›PMID 19156205›Full record

ArticlePloS one2009

Direct metagenomic detection of viral pathogens in nasal and fecal specimens using an unbiased high-throughput sequencing approach.

Shota Nakamura, Cheng-Song Yang, Naomi Sakon, Mayo Ueda, Takahiro Tougan, Akifumi Yamashita, Naohisa Goto, Kazuo Takahashi, Teruo Yasunaga, Kazuyoshi Ikuta and 11 more

Abstract read
In one paragraph

Article in PloS one, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 125 papers.

0numbers the graph read from it
0cells of the map it votes in
125citing 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

125 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

65 more citing papers are in PubMed but not listed here.

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

21 authors.

Shota NakamuraDepartment of Genome Informatics, Research Institute for Microbial Diseases, Osaka University, Suita, Osaka, Japan.
Cheng-Song Yang
Naomi Sakon
Mayo Ueda
Takahiro Tougan
Akifumi Yamashita
Naohisa Goto
Kazuo Takahashi
Teruo Yasunaga
Kazuyoshi Ikuta
Tetsuya Mizutani
Yoshiko Okamoto
Michihira Tagami
Ryoji Morita
Norihiro Maeda
Jun Kawai
Yoshihide Hayashizaki
Yoshiyuki Nagai
Toshihiro Horii
Tetsuya Iida
Takaaki Nakaya

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the severe acute respiratory syndrome epidemic of 2003 and renewed attention on avian influenza viral pandemics, new surveillance systems are needed for the earlier detection of emerging infectious diseases. We applied a "next-generation" parallel sequencing platform for viral detection in nasopharyngeal and fecal samples collected during seasonal influenza virus (Flu) infections and norovirus outbreaks from 2005 to 2007 in Osaka, Japan. Random RT-PCR was performed to amplify RNA extracted from 0.1-0.25 ml of nasopharyngeal aspirates (N = 3) and fecal specimens (N = 5), and more than 10 microg of cDNA was synthesized. Unbiased high-throughput sequencing of these 8 samples yielded 15,298-32,335 (average 24,738) reads in a single 7.5 h run. In nasopharyngeal samples, although whole genome analysis was not available because the majority (>90%) of reads were host genome-derived, 20-460 Flu-reads were detected, which was sufficient for subtype identification. In fecal samples, bacteria and host cells were removed by centrifugation, resulting in gain of 484-15,260 reads of norovirus sequence (78-98% of the whole genome was covered), except for one specimen that was under-detectable by RT-PCR. These results suggest that our unbiased high-throughput sequencing approach is useful for directly detecting pathogenic viruses without advance genetic information. Although its cost and technological availability make it unlikely that this system will very soon be the diagnostic standard worldwide, this system could be useful for the earlier discovery of novel emerging viruses and bioterrorism, which are difficult to detect with conventional procedures.

Indexed as

Base SequenceDNA, BacterialFecesGastroenteritisGenetic TechniquesHumansInfluenza, HumanMolecular Sequence DataNorovirusNoseOrthomyxoviridaeReverse Transcriptase Polymerase Chain ReactionRNA, ViralSequence Analysis, DNASequence Homology, Nucleic AcidDNA, BacterialRNA, Viral

Identifiers

PMID19156205
PMCPMC2625441

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.