Evidence map›Paper›PMID 25675344›Full record

ArticlePloS one2015

A reverse transcription loop-mediated isothermal amplification assay optimized to detect multiple HIV subtypes.

Karen E Ocwieja, Scott Sherrill-Mix, Changchun Liu, Jinzhao Song, Haim Bau, Frederic D Bushman

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 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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

6 authors.

Karen E OcwiejaDepartment of Microbiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
Scott Sherrill-MixDepartment of Microbiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
Changchun LiuDepartment of Mechanical Engineering and Applied Mechanics, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
Jinzhao SongDepartment of Mechanical Engineering and Applied Mechanics, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
Haim BauDepartment of Mechanical Engineering and Applied Mechanics, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
Frederic D BushmanDepartment of Microbiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.

Funding

Virus & Reservoirs CoreP30AI045008 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI ROBERT GROSS · 1999 to 2026
$78.6M
TRAINING IN HIV PATHOGENESIST32AI007632 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI Frederic D Bushman, James L. Riley · 2000 to 2026
$10.6M
Training Program in Computational GenomicsT32HG000046 · NHGRI · UNIVERSITY OF PENNSYLVANIA · PI JUNHYONG KIM, Mingyao Li · 1999 to 2026
$9.5M
TRAINING IN VIROLOGYT32AI007324 · NIAID · WISTAR INSTITUTE · PI Paul Bates, Matthew D. Weitzman · 1989 to 2026
$6.8M
Favored Sites for HIV Integration in the Human GenomeR01AI052845 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI BUSHMAN, FREDERIC D · 2002 to 2017
$5.6M
Fully-Integrated, Non-Instrumented Device for Molecular DiagnosticsK25AI099160 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI LIU, CHANGCHUN · 2012 to 2016
$642k
Point of Care Device for Molecular Detection of HIVR41AI104418 · NIAID · AC DIAGNOSTICS, INC. · PI BAU, HAIM H, XIA, JUN Q · 2013 to 2013
$300k
NHGRI NIH HHS 5T32HG000046NHGRI NIH HHS T32 HG000046NIAID NIH HHS 1R41AI104418-01A1NIAID NIH HHS K25 AI099160NIAID NIH HHS K25AI099160NIAID NIH HHS P30 AI045008NIAID NIH HHS R01 AI052845NIAID NIH HHS R41 AI104418NIAID NIH HHS T32 AI007324NIAID NIH HHS T32 AI007632
6 · The paper itself

Abstract

Diagnostic methods for detecting and quantifying HIV RNA have been improving, but efficient methods for point-of-care analysis are still needed, particularly for applications in resource-limited settings. Detection based on reverse-transcription loop-mediated isothermal amplification (RT-LAMP) is particularly useful for this, because when combined with fluorescence-based DNA detection, RT-LAMP can be implemented with minimal equipment and expense. Assays have been developed to detect HIV RNA with RT-LAMP, but existing methods detect only a limited subset of HIV subtypes. Here we report a bioinformatic study to develop optimized primers, followed by empirical testing of 44 new primer designs. One primer set (ACeIN-26), targeting the HIV integrase coding region, consistently detected subtypes A, B, C, D, and G. The assay was sensitive to at least 5000 copies per reaction for subtypes A, B, C, D, and G, with Z-factors of above 0.69 (detection of the minor subtype F was found to be unreliable). There are already rapid and efficient assays available for detecting HIV infection in a binary yes/no format, but the rapid RT-LAMP assay described here has additional uses, including 1) tracking response to medication by comparing longitudinal values for a subject, 2) detecting of infection in neonates unimpeded by the presence of maternal antibody, and 3) detecting infection prior to seroconversion.

Indexed as

Computational BiologyGenes, ViralGenotypeHIVHIV-1HIV InfectionsHumansNucleic Acid Amplification TechniquesReproducibility of Results

Identifiers

PMID25675344
PMCPMC4326360

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.