Evidence map›Paper›PMID 34742037›Full record

ReviewCurrent opinion in virology2021

Strategies for eliciting multiple lineages of broadly neutralizing antibodies to HIV by vaccination.

Zekun Mu, Barton F Haynes, Derek W Cain

Open access · greenAbstract readReview
In one paragraph

Review in Current opinion in virology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

19 citing papers in PubMed, 24 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Zekun MuDuke Human Vaccine Institute, Duke University School of Medicine, Durham, NC 27710, USA; Department of Immunology, Duke University School of Medicine, Durham, NC 27710, USA.
Barton F HaynesDuke Human Vaccine Institute, Duke University School of Medicine, Durham, NC 27710, USA; Department of Immunology, Duke University School of Medicine, Durham, NC 27710, USA; Department of Medicine, Duke University School of Medicine, Durham, NC 27710, USA. Electronic address: barton.haynes@duke.edu.
Derek W CainDuke Human Vaccine Institute, Duke University School of Medicine, Durham, NC 27710, USA; Department of Medicine, Duke University School of Medicine, Durham, NC 27710, USA. Electronic address: derek.cain@duke.edu.
Duke University · US

Funding

Nonhuman primate studies for development of a prototype HIV vaccine that induces broadly neutralizing antibodiesUM1AI144371 · NIAID · DUKE UNIVERSITY · PI HAYNES, BARTON F. · 2019 to 2025
$190.4M
NIAID NIH HHS UM1 AI144371
6 · The paper itself

Abstract

A prophylactic vaccine would be a powerful tool in the fight against HIV. Passive immunization of animals with broadly neutralizing antibodies (bnAbs) affords protection against viral challenge, and recent data from the Antibody Mediated Prevention clinical trials support the concept of bnAbs providing protection against HIV in humans, albeit only at broad and potent neutralizing antibody titers. Moreover, it is now clear that a successful vaccine will also need to induce bnAbs against multiple neutralizing epitopes on the HIV envelope (Env) glycoprotein. Here, we review recent clinical trials evaluating bnAb-based vaccines, and discuss key issues in the development of an HIV vaccine capable of targeting multiple Env neutralizing epitopes.

Indexed as

VaccinationAIDS VaccinesAnimalsBroadly Neutralizing AntibodiesEpitopesHIVHIV AntibodiesHIV InfectionsHumansAIDS VaccinesBroadly Neutralizing AntibodiesEpitopesHIV Antibodies

Identifiers

PMID34742037
PMCPMC9227958
OpenAlexW3212037404

What OpenQuestion holds

Textmetadata
LicenceTDM
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.