Evidence map›Paper›PMID 41394554›Full record

ArticlebioRxiv : the preprint server for biology2025

HIV Virion Capturing Liposomes for Therapeutic Vaccination.

Ted Keunsil Kang, Charles G Ang, Gabriela Canziani, Heba Elkateb, Divine Thomas, Derek Yang, Amos B Smith, Elias K Haddad, Irwin Chaiken, Peter Deak

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Ted Keunsil KangDrexel University, Department of Chemical and Biological Engineering, Philadelphia PA.
Charles G AngDrexel University College of Medicine, Department of Biochemistry and Molecular Biology, Philadelphia PA.
Gabriela CanzianiDrexel University College of Medicine, Department of Biochemistry and Molecular Biology, Philadelphia PA.
Heba ElkatebDrexel University, Department of Chemical and Biological Engineering, Philadelphia PA.
Divine ThomasDrexel University, School of Biomedical Engineering, Philadelphia PA.
Derek YangUniversity of Pennsylvania, Department of Chemistry, Philadelphia PA.
Amos B SmithUniversity of Pennsylvania, Department of Chemistry, Philadelphia PA.
Elias K HaddadDrexel University College of Medicine, Departments of Medicine and of Microbiology and Immunology, Philadelphia PA.
Irwin ChaikenDrexel University College of Medicine, Department of Biochemistry and Molecular Biology, Philadelphia PA.
Peter DeakDrexel University, Department of Chemical and Biological Engineering, Philadelphia PA.ORCID 0000-0002-2208-0174

Funding

Generating Robust anti-HIV CD8 T cells using HIV-targeted Liposomal VaccinesR56AI179226 · NIAID · DREXEL UNIVERSITY · PI DEAK, PETER · 2023 to 2023
$486k
NIAID NIH HHS R56 AI179226
6 · The paper itself

Abstract

HIV infection currently has no effective cures and requires lifelong antiretroviral treatments. Cures have failed due to HIV's immune evasion and rapid mutation rate. Here we present a first in class HIV therapeutic vaccine, termed nanotrap therapeutic vaccines (NTVs) that are designed to capture circulating HIV virions and facilitate internalization by local antigen presenting cells. NTVs are modified liposomes that display the CD4 mimetic molecule, CJF-III-288, on their surfaces and have the TLR 7/8 agonist R848 loaded into their core. We show that NTVs can 1) bind gp120 and capture pseudoviral particles, 2) facilitate uptake by antigen presenting cells and 3) generate robust anti-HIV CD8 T cell immunity in transient infection mouse models. NTVs have translational potential to generate patient-specific HIV immunity.

Identifiers

PMID41394554
PMCPMC12697665

What OpenQuestion holds

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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.