Evidence map›Paper›PMID 24074567›Full record

ArticleVirology2013

Chemical cross-linking of HIV-1 Env for direct TLR7/8 ligand conjugation compromises recognition of conserved antigenic determinants.

Yu Feng, Mattias N E Forsell, Barbara Flynn, William Adams, Karin Loré, Robert Seder, Richard T Wyatt, Gunilla B Karlsson Hedestam

Abstract read
In one paragraph

Article in Virology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
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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

8 authors.

Yu FengVaccine Research Center, National Institutes of Health, Bethesda, MD 20892, USA; IAVI Center for Neutralizing Antibodies, Department of Immunology and Microbial Science, The Scripps Research Institute, La Jolla, CA 92037, USA.
Mattias N E Forsell
Barbara Flynn
William Adams
Karin Loré
Robert Seder
Richard T Wyatt
Gunilla B Karlsson Hedestam

Funding

Support Component D/Vaccine Discovery, Concept to ClinicUM1AI100663 · NIAID · SCRIPPS RESEARCH INSTITUTE, THE · PI BAROUCH, DAN H. · 2012 to 2018
$131.5M
Optimization Of HIV Specific Immune Responses In VivoZIAAI005016 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI SEDER, ROBERT A · 2009 to 2018
$31.2M
Intramural NIH HHSNIAID NIH HHS UM1 AI100663
6 · The paper itself

Abstract

Covalent conjugation of immune-stimulatory compounds to protein antigens is a potential means to self-adjuvant non-replicating subunit vaccines. Previously, it was demonstrated that covalent coupling of a Toll-like receptor (TLR) ligand to the exterior HIV-1 envelope glycoprotein, gp120, enhanced its immunogenicity. However, the consequences of chemical conjugation to gp120 on broadly neutralizing antibody (bNAb) epitopes were so far not examined. Here, we conjugated a TLR7/8 ligand to lysine residues on gp120 using NHS-PEO8-maleimide linkers and investigated if this affected Ab recognition of the CD4 binding site (CD4bs), a highly conserved target for bNAbs. We demonstrate that the recognition of the CD4bs was reduced following coupling, especially at a higher coupling ratio. These results have implications for the coupling of ligands to vaccine antigens where elicitation of humoral immune responses to specific neutralizing determinants is desired.

Indexed as

CD4 AntigensEpitopesHIV-1HIV Envelope Protein gp120HumansProtein BindingToll-Like Receptor 7CD4 AntigensEpitopesgp120 protein, Human immunodeficiency virus 1HIV Envelope Protein gp120Toll-Like Receptor 7Cross-linkerHIV-1 envelope glycoproteinNeutralizing antibodyToll-like receptor ligand

Identifiers

PMID24074567
PMCPMC3800776

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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.