Evidence map›Paper›PMID 19493346›Full record

ArticleRetrovirology2009

Multiple-infection and recombination in HIV-1 within a longitudinal cohort of women.

Alan R Templeton, Melissa G Kramer, Joseph Jarvis, Jeanne Kowalski, Stephen Gange, Michael F Schneider, Qiujia Shao, Guang Wen Zhang, Mei-Fen Yeh, Hua-Ling Tsai and 2 more

Open access · goldAbstract read
In one paragraph

Article in Retrovirology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

23 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Coinfection Dynamics of Two Diseases in a Single Host Population.Journal of mathematical analysis and applications · 2016
    Article
  9. The evolutionary ecology of molecular replicators.Royal Society open science · 2016
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Frequency and implications of HIV superinfection.The Lancet. Infectious diseases · 2013
    Review
  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

12 authors at 4 institutions in 1 country.

Alan R TempletonDepartment of Biology, Washington University, St Louis, Missouri, USA. temple_a@wustl.edu
Melissa G Kramer
Joseph Jarvis
Jeanne Kowalski
Stephen Gange
Michael F Schneider
Qiujia Shao
Guang Wen Zhang
Mei-Fen Yeh
Hua-Ling Tsai
Hong Zhang
Richard B Markham
Johns Hopkins University · USJohns Hopkins Medicine · USWashington University in St. Louis · USEnvironmental Protection Agency · US

Funding

Women's Interagency HIV Study (WIHS-V)U01AI035004 · NIAID · MONTEFIORE MEDICAL CENTER (BRONX, NY) · PI ANASTOS, KATHRYN M., SHARMA, ANJALI · 1993 to 2018
$65.7M
WOMEN'S INTERAGENCY HIV STUDY ORGANIZATION, MANAGEMENT AND COMMUNICATIONSU01AI034989 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI AOUIZERAT, BRADLEY E, GREENBLATT, RUTH MARTHA · 1993 to 2018
$65.6M
Women's Interagency HIV Study (WIHS) IIIU01AI031834 · NIAID · SUNY DOWNSTATE MEDICAL CENTER · PI GUSTAFSON, DEBORAH R., MINKOFF, HOWARD · 1998 to 2018
$53.5M
WOMEN'S INTERAGENCY HIV STUDY (WIHS) ORGANIZATION AND MANAGEMENTU01AI034994 · NIAID · GEORGETOWN UNIVERSITY · PI KASSAYE, SEBLE G · 1993 to 2018
$52.0M
Women's Interagency HIV Study (WIHS) IV, Chicago ConsortiumU01AI034993 · NIAID · HEKTOEN INSTITUTE FOR MEDICAL RESEARCH · PI COHEN, MARDGE H, FRENCH, AUDREY · 1994 to 2018
$51.0M
WOMENS INTERAGENCY HIV STUDY (WIHS)U01HD032632 · NICHD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI MILAM, JOEL E · 1994 to 2012
$42.0M
WIHS DATA MANAGEMENT AND ANALYSIS CENTER(WDMAC)U01AI042590 · NIAID · JOHNS HOPKINS UNIVERSITY · PI GANGE, STEPHEN J, GOLUB, ELIZABETH T · 1998 to 2018
$38.4M
Variable DNA sites predicting interindividual variation in health measuresP50GM065509 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SING, CHARLES · 2001 to 2011
$27.5M
IMPACT OF RECOMBINATION IN HIV-1 ON INTRAHOST EVOLUTIONR01GM060730 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI MARKHAM, RICHARD B. · 1999 to 2002
$913k
GENETIC DETERMINANTS OF HIV INFECTION OF IV DRUG USERSR01DA009717 · NIDA · JOHNS HOPKINS UNIVERSITY · PI MARKHAM, RICHARD B. · 1995 to 1998
–
NIAID NIH HHS AI-34989NIAID NIH HHS R01-DA/AI13347NIAID NIH HHS U01 AI031834NIAID NIH HHS U01 AI034989NIAID NIH HHS U01 AI034993NIAID NIH HHS U01 AI034994NIAID NIH HHS U01 AI035004NIAID NIH HHS U01 AI042590NIAID NIH HHS U01-AI-31834NIAID NIH HHS U01-AI-34993NIAID NIH HHS U01-AI-34994NIAID NIH HHS U01-AI-35004NIAID NIH HHS U01-AI-42590NICHD NIH HHS U01 HD032632NICHD NIH HHS U01-HD-32632NIGMS NIH HHS GM60730NIGMS NIH HHS GM65509NIGMS NIH HHS P50 GM065509NIGMS NIH HHS R01-GM60730
6 · The paper itself

Abstract

backgroundRecombination between strains of HIV-1 only occurs in individuals with multiple infections, and the incidence of recombinant forms implies that multiple infection is common. Most direct studies indicate that multiple infection is rare. We determined the rate of multiple infection in a longitudinal study of 58 HIV-1 positive participants from The Women's Interagency HIV Study with a richer sampling design than previous direct studies, and we investigated the role of recombination and sampling design on estimating the multiple infection rate.

results40% of our sample had multiple HIV-1 infections. This rate of multiple infection is statistically consistent with previous studies once differences in sampling design are taken into account. Injection drug use significantly increased the incidence of multiple infections. In general there was rapid elimination of secondary strains to undetectable levels, but in 3 cases a superinfecting strain displaced the initial infecting strain and in two cases the strains coexisted throughout the study. All but one secondary strain was detected as an inter- and/or intra-genic recombinant. Injection drug use significantly increased the rate of observed recombinants.

conclusionOur multiple infection rate is consistent with rates estimated from the frequency of recombinant forms of HIV-1. The fact that our results are also consistent with previous direct studies that had reported a much lower rate illustrates the critical role of sampling design in estimating this rate. Multiple infection and recombination significantly add to the genetic diversity of HIV-1 and its evolutionary potential, and injection drug use significantly increases both.

Indexed as

Recombination, GeneticAdultCohort StudiesDNA, ViralDrug Usersenv Gene Products, Human Immunodeficiency VirusFemaleGenetic VariationHIV-1HIV InfectionsHumansIncidenceLongitudinal Studiespol Gene Products, Human Immunodeficiency VirusReassortant VirusesRisk FactorsDNA, Viralenv Gene Products, Human Immunodeficiency Viruspol Gene Products, Human Immunodeficiency Virus

Identifiers

PMID19493346
PMCPMC2700066
OpenAlexW2101220701

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.