Evidence map›Paper›PMID 19582166›Full record

ArticlePLoS medicine2009

Polyclonal B cell differentiation and loss of gastrointestinal tract germinal centers in the earliest stages of HIV-1 infection.

Marc C Levesque, M Anthony Moody, Kwan-Ki Hwang, Dawn J Marshall, John F Whitesides, Joshua D Amos, Thaddeus C Gurley, Sallie Allgood, Benjamin B Haynes, Nathan A Vandergrift and 15 more

Open access · goldAbstract read
In one paragraph

Article in PLoS medicine, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 120 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
120citing papers in PubMed, 1 pooled it
6.8field-weighted citation impact, top 2% 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

120 citing papers in PubMed, 1 synthesis or guideline pooled it, 183 citations in OpenAlex.

  1. Pooled it
  2. Trial
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  7. Article
  8. Review
  9. Molecular therapy. Advances · 2026
    Article
  10. Review
  11. Mucosal immunity in acute HIV: a review of recent work.Current opinion in HIV and AIDS · 2025
    Review
  12. Article
  13. Review
  14. Review
  15. Review
  16. Article
  17. Effective and targeted latency reversal in CD4Emerging microbes & infections · 2024
    Article
  18. Article
  19. Review
  20. Review

60 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

25 authors at 5 institutions in 1 country.

Marc C LevesqueDepartment of Medicine, Duke University School of Medicine, Durham, North Carolina, United States of America.
M Anthony Moody
Kwan-Ki Hwang
Dawn J Marshall
John F Whitesides
Joshua D Amos
Thaddeus C Gurley
Sallie Allgood
Benjamin B Haynes
Nathan A Vandergrift
Steven Plonk
Daniel C Parker
Myron S Cohen
Georgia D Tomaras
Paul A Goepfert
George M Shaw
Jörn E Schmitz
Joseph J Eron
Nicholas J Shaheen
Charles B Hicks
Hua-Xin Liao
Martin Markowitz
Garnett Kelsoe
David M Margolis
Barton F Haynes
Duke University · USUniversity of North Carolina at Chapel Hill · USUniversity of Alabama at Birmingham · USAaron Diamond AIDS Research Center · USBeth Israel Deaconess Medical Center · US

Funding

Viral Sequencing CoreU19AI067854 · NIAID · DUKE UNIVERSITY · PI CRUMP, JOHN ANDREW · 2006 to 2011
$290.5M
Virology, Immunology, and Microbiology CoreP30AI050410 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVID M. MARGOLIS · 2001 to 2026
$76.9M
Ruth L. Kirschstein National Research Service Award (NRSA)- T32T32AI007392 · NIAID · DUKE UNIVERSITY · PI Amy Lynn Corneli, Guido Ferrari · 1990 to 2026
$9.8M
NIAID NIH HHS P30 AI050410NIAID NIH HHS T32 AI007392NIAID NIH HHS U19 AI067854
6 · The paper itself

Abstract

backgroundThe antibody response to HIV-1 does not appear in the plasma until approximately 2-5 weeks after transmission, and neutralizing antibodies to autologous HIV-1 generally do not become detectable until 12 weeks or more after transmission. Moreover, levels of HIV-1-specific antibodies decline on antiretroviral treatment. The mechanisms of this delay in the appearance of anti-HIV-1 antibodies and of their subsequent rapid decline are not known. While the effect of HIV-1 on depletion of gut CD4(+) T cells in acute HIV-1 infection is well described, we studied blood and tissue B cells soon after infection to determine the effect of early HIV-1 on these cells. METHODS AND

findingsIn human participants, we analyzed B cells in blood as early as 17 days after HIV-1 infection, and in terminal ileum inductive and effector microenvironments beginning at 47 days after infection. We found that HIV-1 infection rapidly induced polyclonal activation and terminal differentiation of B cells in blood and in gut-associated lymphoid tissue (GALT) B cells. The specificities of antibodies produced by GALT memory B cells in acute HIV-1 infection (AHI) included not only HIV-1-specific antibodies, but also influenza-specific and autoreactive antibodies, indicating very early onset of HIV-1-induced polyclonal B cell activation. Follicular damage or germinal center loss in terminal ileum Peyer's patches was seen with 88% of follicles exhibiting B or T cell apoptosis and follicular lysis.

conclusionsEarly induction of polyclonal B cell differentiation, coupled with follicular damage and germinal center loss soon after HIV-1 infection, may explain both the high rate of decline in HIV-1-induced antibody responses and the delay in plasma antibody responses to HIV-1. Please see later in the article for Editors' Summary.

Indexed as

Lymphocyte ActivationAdolescentAdultAntibodies, ViralApoptosisAutoimmunityB-LymphocytesCell DifferentiationFemaleGerminal CenterHIV-1HIV AntibodiesHIV InfectionsHumansIleumInfluenza, HumanAntibodies, ViralHIV Antibodies

Identifiers

PMID19582166
PMCPMC2702159
OpenAlexW2087693617

What OpenQuestion holds

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LicenceCC BY
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.