Evidence map›Paper›PMID 36315492›Full record

ArticlePLoS computational biology2022

Optimal sequence-based design for multi-antigen HIV-1 vaccines using minimally distant antigens.

Eric Lewitus, Jennifer Hoang, Yifan Li, Hongjun Bai, Morgane Rolland

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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

5 authors at 1 institution in 1 country.

Eric LewitusU.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, Maryland, United States of America.ORCID 0000-0001-6459-2437
Jennifer HoangU.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, Maryland, United States of America.
Yifan LiU.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, Maryland, United States of America.ORCID 0000-0001-7038-2671
Hongjun BaiU.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, Maryland, United States of America.ORCID 0000-0002-3501-3974
Morgane RollandU.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, Maryland, United States of America.ORCID 0000-0003-3650-8490
Henry M. Jackson Foundation · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The immense global diversity of HIV-1 is a significant obstacle to developing a safe and effective vaccine. We recently showed that infections established with multiple founder variants are associated with the development of neutralization breadth years later. We propose a novel vaccine design strategy that integrates the variability observed in acute HIV-1 infections with multiple founder variants. We developed a probabilistic model to simulate this variability, yielding a set of sequences that present the minimal diversity seen in an infection with multiple founders. We applied this model to a subtype C consensus sequence for the Envelope (Env) (used as input) and showed that the simulated Env sequences mimic the mutational landscape of an infection with multiple founder variants, including diversity at antibody epitopes. The derived set of multi-founder-variant-like, minimally distant antigens is designed to be used as a vaccine cocktail specific to a HIV-1 subtype or circulating recombinant form and is expected to promote the development of broadly neutralizing antibodies.

Indexed as

AIDS VaccinesHIV-1HIV InfectionsAntibodies, Neutralizingenv Gene Products, Human Immunodeficiency VirusHIV AntibodiesHumansAIDS VaccinesAntibodies, Neutralizingenv Gene Products, Human Immunodeficiency VirusHIV Antibodies

Identifiers

PMID36315492
PMCPMC9621458
OpenAlexW4307715468

What OpenQuestion holds

Textmetadata
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.