Evidence map›Paper›PMID 21593162›Full record

ArticleJournal of virology2011

Demographic processes affect HIV-1 evolution in primary infection before the onset of selective processes.

Joshua T Herbeck, Morgane Rolland, Yi Liu, Sherry McLaughlin, John McNevin, Hong Zhao, Kim Wong, Julia N Stoddard, Dana Raugi, Stephanie Sorensen and 10 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of virology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 5% 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

69 citing papers in PubMed, 1 synthesis or guideline pooled it, 101 citations in OpenAlex.

  1. Pooled it
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  11. Evolution during primary HIV infection does not require adaptive immune selection.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
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9 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

20 authors at 2 institutions in 1 country.

Joshua T HerbeckDepartment of Microbiology, SC-42, University of Washington School of Medicine, Seattle, WA 98195-8070, USA.
Morgane Rolland
Yi Liu
Sherry McLaughlin
John McNevin
Hong Zhao
Kim Wong
Julia N Stoddard
Dana Raugi
Stephanie Sorensen
Indira Genowati
Brian Birditt
Angela McKay
Kurt Diem
Brandon S Maust
Wenjie Deng
Ann C Collier
Joanne D Stekler
M Juliana McElrath
James I Mullins
University of Washington · USFred Hutch Cancer Center · US

Funding

University of Washington/Fred Hutch Center for AIDS ResearchP30AI027757 · NIAID · UNIVERSITY OF WASHINGTON · PI Kenneth Sherr · 1988 to 2026
$104.9M
Viral Determinants of HIV-1 Transmission in African HeterosexualsP01AI057005 · NIAID · UNIVERSITY OF WASHINGTON · PI COREY, LAWRENCE · 2003 to 2014
$20.5M
VENEREAL DISEASET32AI007140 · NIAID · UNIVERSITY OF WASHINGTON · PI Julia Cook Dombrowski · 1985 to 2026
$19.4M
Occurrence and Outcome of Dual HIV-1 InfectionR37AI047734 · NIAID · UNIVERSITY OF WASHINGTON · PI MULLINS, JAMES IVAN · 2005 to 2014
$5.9M
OCCURRENCE AND OUTCOME OF DUAL HIV-1 INFECTIONR01AI047734 · NIAID · UNIVERSITY OF WASHINGTON · PI MULLINS, JAMES IVAN · 2000 to 2004
$2.4M
NIAID NIH HHS P01 AI057005NIAID NIH HHS P01AI57005NIAID NIH HHS P30 AI027757NIAID NIH HHS P30 AI27757NIAID NIH HHS R37 AI047734NIAID NIH HHS R37AI47734NIAID NIH HHS T32 AI007140NIAID NIH HHS T32 AI07140
6 · The paper itself

Abstract

HIV-1 transmission and viral evolution in the first year of infection were studied in 11 individuals representing four transmitter-recipient pairs and three independent seroconverters. Nine of these individuals were enrolled during acute infection; all were men who have sex with men (MSM) infected with HIV-1 subtype B. A total of 475 nearly full-length HIV-1 genome sequences were generated, representing on average 10 genomes per specimen at 2 to 12 visits over the first year of infection. Single founding variants with nearly homogeneous viral populations were detected in eight of the nine individuals who were enrolled during acute HIV-1 infection. Restriction to a single founder variant was not due to a lack of diversity in the transmitter as homogeneous populations were found in recipients from transmitters with chronic infection. Mutational patterns indicative of rapid viral population growth dominated during the first 5 weeks of infection and included a slight contraction of viral genetic diversity over the first 20 to 40 days. Subsequently, selection dominated, most markedly in env and nef. Mutants were detected in the first week and became consensus as early as day 21 after the onset of symptoms of primary HIV infection. We found multiple indications of cytotoxic T lymphocyte (CTL) escape mutations while reversions appeared limited. Putative escape mutations were often rapidly replaced with mutually exclusive mutations nearby, indicating the existence of a maturational escape process, possibly in adaptation to viral fitness constraints or to immune responses against new variants. We showed that establishment of HIV-1 infection is likely due to a biological mechanism that restricts transmission rather than to early adaptive evolution during acute infection. Furthermore, the diversity of HIV strains coupled with complex and individual-specific patterns of CTL escape did not reveal shared sequence characteristics of acute infection that could be harnessed for vaccine design.

Indexed as

DemographyEvolution, MolecularAdultBase SequenceDNA PrimersEnzyme-Linked Immunosorbent AssayHIV-1HIV InfectionsHomosexuality, MaleHumansMalePolymerase Chain ReactionStochastic ProcessesDNA Primers

Identifiers

PMID21593162
PMCPMC3147913
OpenAlexW2038852567

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.