Evidence map›Paper›PMID 22073290›Full record

ArticlePloS one2011

Use of a high resolution melting (HRM) assay to compare gag, pol, and env diversity in adults with different stages of HIV infection.

Matthew M Cousins, Oliver Laeyendecker, Geetha Beauchamp, Ronald Brookmeyer, William I Towler, Sarah E Hudelson, Leila Khaki, Beryl Koblin, Margaret Chesney, Richard D Moore and 8 more

Open access · goldAbstract readComparative Study
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 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
2.5field-weighted citation impact, top 12% of its field
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

29 citing papers in PubMed, 37 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Trial
  4. Trial
  5. Review
  6. Article
  7. Modeling methods for estimating HIV incidence: a mathematical review.Theoretical biology & medical modelling · 2020
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. How can we better identify early HIV infections?Current opinion in HIV and AIDS · 2015
    Review
  16. Article
  17. Article
  18. Cross-sectional HIV incidence estimation in HIV prevention research.Journal of acquired immune deficiency syndromes (1999) · 2013
    Article
  19. Future of phylogeny in HIV prevention.Journal of acquired immune deficiency syndromes (1999) · 2013
    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

18 authors at 8 institutions in 1 country.

Matthew M CousinsDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
Oliver Laeyendecker
Geetha Beauchamp
Ronald Brookmeyer
William I Towler
Sarah E Hudelson
Leila Khaki
Beryl Koblin
Margaret Chesney
Richard D Moore
Gabor D Kelen
Thomas Coates
Connie Celum
Susan P Buchbinder
George R Seage
Thomas C Quinn
Deborah Donnell
Susan H Eshleman
Johns Hopkins University · USFred Hutch Cancer Center · USNational Institutes of Health · USUniversity of California, Los Angeles · USUniversity of California, San Francisco · USHarvard University · USNew York Blood Center · USUniversity of Washington · US

Funding

LC: HIV Prevention Trials Network - Laboratory Support for the SARS-CoV-2 Seroprevalence Study (CoVPN 5002)UM1AI068613 · NIAID · JOHNS HOPKINS UNIVERSITY · PI SUSAN H ESHLEMAN, Mark A Marzinke · 2011 to 2026
$100.2M
HPTN CENTRAL LABORATORYU01AI046745 · NIAID · JOHNS HOPKINS UNIVERSITY · PI JACKSON, JAY B · 2000 to 2005
$20.8M
HIV Prevention Trials Network: Network LaboratoryU01AI068613 · NIAID · JOHNS HOPKINS UNIVERSITY · PI ESHLEMAN, SUSAN H · 2006 to 2010
$16.5M
International Studies of the Acquired Immune Deficiency Syndrome (AIDS)ZIAAI000361 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI REDD, ANDREW · 2009 to 2025
$15.8M
Johns Hopkins HIV Clinical CohortU01DA036935 · NIDA · JOHNS HOPKINS UNIVERSITY · PI MOORE, RICHARD DOUGLAS · 2014 to 2024
$14.9M
HIV DISEASE OUTCOMES IN DRUG USERS IN CLINICAL PRACTICER01DA011602 · NIDA · JOHNS HOPKINS UNIVERSITY · PI MOORE, RICHARD DOUGLAS · 1998 to 2013
$10.8M
Laboratory and Statistical Development of Cross-Sectional HIV Incidence AssaysR01AI095068 · NIAID · JOHNS HOPKINS UNIVERSITY · PI ESHLEMAN, SUSAN H · 2011 to 2021
$6.6M
DOMESTIC MASTER CONTRACT FOR HIV VACCINE EFFICACY TRIALSN01AI035176 · NIAID · ABT ASSOCIATES, INC. · PI SEAGE, GEORGE R · 1993 to 2000
$2.5M
Alcohol and HIV Treatment and Clinical ProgressionR01AA016893 · NIAAA · JOHNS HOPKINS UNIVERSITY · PI MOORE, RICHARD DOUGLAS · 2008 to 2011
$1.3M
STATISTICAL &CLINICAL COORDINATING CENTER (SC)N01AI045200 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI SELF, STEVEN G. · 1994 to 2000
$853k
INTNL.VACC.EFFICACY TRIALS MASTER CONTRACT (IMC)N01AI035173 · NIAID · FAMILY HEALTH INTERNATIONAL · PI CATES, WILLARD · 1993 to 2000
$0k
Intramural NIH HHSNIAAA NIH HHS R01 AA016893NIAAA NIH HHS R01-AA016893NIAID NIH HHS N01 AI035173NIAID NIH HHS N01 AI045200NIAID NIH HHS N01-AI35173NIAID NIH HHS N01-AI35176NIAID NIH HHS N01-AI45200NIAID NIH HHS R01 AI095068NIAID NIH HHS R01-AI095068NIAID NIH HHS U01 AI046745NIAID NIH HHS U01-AI046745NIAID NIH HHS U01 AI068613NIAID NIH HHS U01-AI068613NIAID NIH HHS UM1 AI068613NIAID NIH HHS UM1-AI068613NIDA NIH HHS R01 DA011602NIDA NIH HHS R01-DA011602NIDA NIH HHS U01 DA036935
6 · The paper itself

Abstract

backgroundCross-sectional assessment of HIV incidence relies on laboratory methods to discriminate between recent and non-recent HIV infection. Because HIV diversifies over time in infected individuals, HIV diversity may serve as a biomarker for assessing HIV incidence. We used a high resolution melting (HRM) diversity assay to compare HIV diversity in adults with different stages of HIV infection. This assay provides a single numeric HRM score that reflects the level of genetic diversity of HIV in a sample from an infected individual.

methodsHIV diversity was measured in 203 adults: 20 with acute HIV infection (RNA positive, antibody negative), 116 with recent HIV infection (tested a median of 189 days after a previous negative HIV test, range 14-540 days), and 67 with non-recent HIV infection (HIV infected >2 years). HRM scores were generated for two regions in gag, one region in pol, and three regions in env.

resultsMedian HRM scores were higher in non-recent infection than in recent infection for all six regions tested. In multivariate models, higher HRM scores in three of the six regions were independently associated with non-recent HIV infection.

conclusionsThe HRM diversity assay provides a simple, scalable method for measuring HIV diversity. HRM scores, which reflect the genetic diversity in a viral population, may be useful biomarkers for evaluation of HIV incidence, particularly if multiple regions of the HIV genome are examined.

Indexed as

Genes, envGenes, gagGenes, polGenetic VariationAdultBase SequenceDNA PrimersHIV InfectionsHumansPlasmidsReverse Transcriptase Polymerase Chain ReactionDNA Primers

Identifiers

PMID22073290
PMCPMC3206918
OpenAlexW2060526788

What OpenQuestion holds

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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.