Evidence map›Paper›PMID 21697329›Full record

ArticleJournal of clinical microbiology2011

Identification of HIV superinfection in seroconcordant couples in Rakai, Uganda, by use of next-generation deep sequencing.

Andrew D Redd, Aleisha Collinson-Streng, Craig Martens, Stacy Ricklefs, Caroline E Mullis, Jordyn Manucci, Aaron A R Tobian, Ethan J Selig, Oliver Laeyendecker, Nelson Sewankambo and 6 more

Erratum issuedOpen access · bronzeAbstract readEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

46 citing papers in PubMed, 64 citations in OpenAlex.

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  15. HIV-Positive Kidney Donor Selection for HIV-Positive Transplant Recipients.Journal of the American Society of Nephrology : JASN · 2018
    Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. Reduced Frequency of Cells Latently Infected With Replication-Competent Human Immunodeficiency Virus-1 in Virally Suppressed Individuals Living in Rakai, Uganda.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2017
    Article
4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

16 authors at 5 institutions in 2 countries.

Andrew D ReddJohns Hopkins University School of Medicine, Rangos Building, Room 530, 855 N Wolfe St, Baltimore, MD 21205, USA.
Aleisha Collinson-Streng
Craig Martens
Stacy Ricklefs
Caroline E Mullis
Jordyn Manucci
Aaron A R Tobian
Ethan J Selig
Oliver Laeyendecker
Nelson Sewankambo
Ronald H Gray
David Serwadda
Maria J Wawer
Stephen F Porcella
Thomas C Quinn
Rakai Health Sciences Program
Johns Hopkins University · USNational Institute of Allergy and Infectious Diseases · USMakerere University · UGNational Institute on Drug Abuse · USRakai Health Sciences Program · UG

Funding

Infectious Diseases Research Technologies Core - RMLZICAI001052 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI CHERRY, JAMES · 2009 to 2025
$133.3M
International Center for Excellence in Research (ICER) in Uganda: Impact of ARVsZIAAI001040 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI REYNOLDS, STEVEN · 2009 to 2025
$23.5M
TUBERCULOSIS INTERNATIONAL TRAINING AND RESEARCH PROGRAMD43TW000010 · FIC · JOHNS HOPKINS UNIVERSITY · PI BEYRER, CHRISTOPHER C. · 1988 to 2012
$19.8M
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
Research Infrastructure for the Hopkins Population CenterR24HD042854 · NICHD · JOHNS HOPKINS UNIVERSITY · PI CHERLIN, ANDREW J · 2003 to 2017
$5.1M
FIC NIH HHS D43 TW000010Intramural NIH HHS ZIA AI000361NICHD NIH HHS 5P30HD06826NICHD NIH HHS R24 HD042854PHS HHS R01 A134265PHS HHS R01 A134826
6 · The paper itself

Abstract

HIV superinfection, which occurs when a previously infected individual acquires a new distinct HIV strain, has been described in a number of populations. Previous methods to detect superinfection have involved a combination of labor-intensive assays with various rates of success. We designed and tested a next-generation sequencing (NGS) protocol to identify HIV superinfection by targeting two regions of the HIV viral genome, p24 and gp41. The method was validated by mixing control samples infected with HIV subtype A or D at different ratios to determine the inter- and intrasubtype sensitivity by NGS. This amplicon-based NGS protocol was able to consistently identify distinct intersubtype strains at ratios of 1% and intrasubtype variants at ratios of 5%. By using stored samples from the Rakai Community Cohort Study (RCCS) in Uganda, 11 individuals who were HIV seroconcordant but virally unlinked from their spouses were then tested by this method to detect superinfection between 2002 and 2005. Two female cases of HIV intersubtype superinfection (18.2%) were identified. These results are consistent with other African studies and support the hypothesis that HIV superinfection occurs at a relatively high rate. Our results indicate that NGS can be used for detection of HIV superinfection within large cohorts, which could assist in determining the incidence and the epidemiologic, virologic, and immunological correlates of this phenomenon.

Indexed as

AdolescentAdultCohort StudiesFamily CharacteristicsFemaleHigh-Throughput Nucleotide SequencingHIVHIV Core Protein p24HIV Envelope Protein gp41HIV InfectionsHumansMaleMiddle AgedMolecular Sequence DataSensitivity and SpecificitySequence Analysis, DNAHIV Core Protein p24HIV Envelope Protein gp41

Identifiers

PMID21697329
PMCPMC3147722
OpenAlexW2141108298

What OpenQuestion holds

Textmetadata
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.