Evidence map›Paper›PMID 17507467›Full record

ArticleJournal of virology2007

Coreceptor tropism in human immunodeficiency virus type 1 subtype D: high prevalence of CXCR4 tropism and heterogeneous composition of viral populations.

Wei Huang, Susan H Eshleman, Jonathan Toma, Signe Fransen, Eric Stawiski, Ellen E Paxinos, Jeannette M Whitcomb, Alicia M Young, Deborah Donnell, Francis Mmiro and 5 more

Open access · greenAbstract read
In one paragraph

Article in Journal of virology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers.

0numbers the graph read from it
0cells of the map it votes in
93citing papers in PubMed
6.1field-weighted citation impact, top 3% 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

93 citing papers in PubMed, 172 citations in OpenAlex.

  1. Trial
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  11. HIV-1Viruses · 2021
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  17. Next generation sequencing reveals a high frequency of CXCR4 utilizing viruses in HIV-1 chronically infected drug experienced individuals in South Africa.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2018
    Article
  18. Article
  19. Article
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33 more citing papers are in PubMed but not listed here.

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

15 authors at 4 institutions in 2 countries.

Wei HuangMonogram Biosciences, 345 Oyster Point Blvd., South San Francisco, CA 94080, USA. whuang@monogrambio.com
Susan H Eshleman
Jonathan Toma
Signe Fransen
Eric Stawiski
Ellen E Paxinos
Jeannette M Whitcomb
Alicia M Young
Deborah Donnell
Francis Mmiro
Philippa Musoke
Laura A Guay
J Brooks Jackson
Neil T Parkin
Christos J Petropoulos
Fred Hutch Cancer Center · USJohns Hopkins University · USMakerere University · UGJohns Hopkins Medicine · US

Funding

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
MU-JHU HPTU TRIAL SITE--UGANDAU01AI048054 · NIAID · JOHNS HOPKINS UNIVERSITY · PI GUAY, LAURA A · 2000 to 2006
$14.4M
NOVEL ASSAYS FOR MEASURING THE INHIBITION OF VIRUS ENTRYR44AI048990 · NIAID · MONOGRAM BIOSCIENCES, INC. · PI PETROPOULOS, CHRISTOS J · 2003 to 2005
$2.6M
Drug Resistance in Non-Subtype B HIV-1R01HD042965 · NICHD · JOHNS HOPKINS UNIVERSITY · PI ESHLEMAN, SUSAN H · 2002 to 2005
$1.0M
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
NIAID NIH HHS N01 AI035173NIAID NIH HHS N01 AI045200NIAID NIH HHS N01-AI-35173-417NIAID NIH HHS R44 AI048990NIAID NIH HHS R44-AI-048990NIAID NIH HHS U01 AI046745NIAID NIH HHS U01 AI048054NIAID NIH HHS U01 AI068613NIAID NIH HHS U01-AI-068613NIAID NIH HHS U01- AI-46745NIAID NIH HHS U01-AI-48054NICHD NIH HHS R01 HD042965NICHD NIH HHS R01-HD-042965-01
6 · The paper itself

Abstract

In human immunodeficiency virus type 1 (HIV-1) subtype B, CXCR4 coreceptor use ranges from approximately 20% in early infection to approximately 50% in advanced disease. Coreceptor use by non-subtype B HIV is less well characterized. We studied coreceptor tropism of subtype A and D HIV-1 collected from 68 pregnant, antiretroviral drug-naive Ugandan women (HIVNET 012 trial). None of 33 subtype A or 10 A/D-recombinant viruses used the CXCR4 coreceptor. In contrast, nine (36%) of 25 subtype D viruses used both CXCR4 and CCR5 coreceptors. Clonal analyses of the nine subtype D samples with dual or mixed tropism revealed heterogeneous viral populations comprised of X4-, R5-, and dual-tropic HIV-1 variants. In five of the six samples with dual-tropic strains, V3 loop sequences of dual-tropic clones were identical to those of cocirculating R5-tropic clones, indicating the presence of CXCR4 tropism determinants outside of the V3 loop. These dual-tropic variants with R5-tropic-like V3 loops, which we designated "dual-R," use CCR5 much more efficiently than CXCR4, in contrast to dual-tropic clones with X4-tropic-like V3 loops ("dual-X"). These observations have implications for pathogenesis and treatment of subtype D-infected individuals, for the association between V3 sequence and coreceptor tropism phenotype, and for understanding potential mechanisms of evolution from exclusive CCR5 use to efficient CXCR4 use by subtype D HIV-1.

Indexed as

AlgorithmsAmino Acid SequenceFemaleGene Products, envGenetic VariationHIV-1HIV InfectionsHumansPhenotypePhylogenyPregnancyPregnancy Complications, InfectiousReceptors, CCR5Receptors, CXCR4Viral LoadGene Products, envReceptors, CCR5Receptors, CXCR4

Identifiers

PMID17507467
PMCPMC1951291
OpenAlexW2129650377

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.