Evidence map›Paper›PMID 26599538›Full record

ArticlePloS one2015

Utility of Metagenomic Next-Generation Sequencing for Characterization of HIV and Human Pegivirus Diversity.

Ka-Cheung Luk, Michael G Berg, Samia N Naccache, Beniwende Kabre, Scot Federman, Dora Mbanya, Lazare Kaptué, Charles Y Chiu, Catherine A Brennan, John Hackett

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. SARS-CoV-2 genomics and impact on clinical care for COVID-19.The Journal of antimicrobial chemotherapy · 2023
    Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Observational
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

10 authors.

Ka-Cheung LukAbbott Diagnostics, Infectious Disease Research, Abbott Park, Illinois, United States of America.
Michael G BergAbbott Diagnostics, Infectious Disease Research, Abbott Park, Illinois, United States of America.
Samia N NaccacheDepartment of Laboratory Medicine, University of California San Francisco, San Francisco, California, United States of America.
Beniwende KabreDepartment of Laboratory Medicine, University of California San Francisco, San Francisco, California, United States of America.
Scot FedermanDepartment of Laboratory Medicine, University of California San Francisco, San Francisco, California, United States of America.
Dora MbanyaUniversité de Yaoundé 1, Yaoundé, Cameroon.
Lazare KaptuéUniversité des Montagnes, Bangangté, Cameroon.
Charles Y ChiuDepartment of Laboratory Medicine, University of California San Francisco, San Francisco, California, United States of America.
Catherine A BrennanAbbott Diagnostics, Infectious Disease Research, Abbott Park, Illinois, United States of America.
John HackettAbbott Diagnostics, Infectious Disease Research, Abbott Park, Illinois, United States of America.

Funding

Pan-Genomic Approaches for Comprehensive Blood Screening of Novel or Emerging Infectious AgentsR01HL105704 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHIU, CHARLES YEN · 2011 to 2020
$5.9M
NHLBI NIH HHS R01 HL105704NHLBI NIH HHS R01-HL105704
6 · The paper itself

Abstract

Given the dynamic changes in HIV-1 complexity and diversity, next-generation sequencing (NGS) has the potential to revolutionize strategies for effective HIV global surveillance. In this study, we explore the utility of metagenomic NGS to characterize divergent strains of HIV-1 and to simultaneously screen for other co-infecting viruses. Thirty-five HIV-1-infected Cameroonian blood donor specimens with viral loads of >4.4 log10 copies/ml were selected to include a diverse representation of group M strains. Random-primed NGS libraries, prepared from plasma specimens, resulted in greater than 90% genome coverage for 88% of specimens. Correct subtype designations based on NGS were concordant with sub-region PCR data in 31 of 35 (89%) cases. Complete genomes were assembled for 25 strains, including circulating recombinant forms with relatively limited data available (7 CRF11_cpx, 2 CRF13_cpx, 1 CRF18_cpx, and 1 CRF37_cpx), as well as 9 unique recombinant forms. HPgV (formerly designated GBV-C) co-infection was detected in 9 of 35 (25%) specimens, of which eight specimens yielded complete genomes. The recovered HPgV genomes formed a diverse cluster with genotype 1 sequences previously reported from Ghana, Uganda, and Japan. The extensive genome coverage obtained by NGS improved accuracy and confidence in phylogenetic classification of the HIV-1 strains present in the study population relative to conventional sub-region PCR. In addition, these data demonstrate the potential for metagenomic analysis to be used for routine characterization of HIV-1 and identification of other viral co-infections.

Indexed as

Genetic VariationMetagenomicsBlood DonorsCameroonCoinfectionGB virus CGenome, ViralGenotypeHigh-Throughput Nucleotide SequencingHIV-1HumansMolecular Sequence DataPhylogenyRecombination, Genetic

Identifiers

PMID26599538
PMCPMC4658132

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.