Evidence map›Paper›PMID 36570039›Full record

ArticleAdvanced therapeutics2022

A single-dose Qβ VLP vaccine against S100A9 protein reduces atherosclerosis in a preclinical model.

Oscar A Ortega-Rivera, Matthew D Shin, Miguel A Moreno-Gonzalez, Jonathan K Pokorski, Nicole F Steinmetz

Open access · greenAbstract read
In one paragraph

Article in Advanced therapeutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.7field-weighted citation impact, top 33% 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

10 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Targeted drug delivery systems for atherosclerosis.Journal of nanobiotechnology · 2025
    Review
  4. Review
  5. Review
  6. Review
  7. Viral nanoparticle vaccines against S100A9 reduce lung tumor seeding and metastasis.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  8. Review
  9. Article
  10. Review
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.

Oscar A Ortega-RiveraDepartment of NanoEngineering, University of California-San Diego, La Jolla CA 92039, USA.
Matthew D ShinDepartment of NanoEngineering, University of California-San Diego, La Jolla CA 92039, USA.
Miguel A Moreno-GonzalezDepartment of NanoEngineering, University of California-San Diego, La Jolla CA 92039, USA.
Jonathan K PokorskiDepartment of NanoEngineering, University of California-San Diego, La Jolla CA 92039, USA.
Nicole F SteinmetzDepartment of NanoEngineering, University of California-San Diego, La Jolla CA 92039, USA.
University of California San Diego · US

Funding

A theranostic approach for risk stratification and intervention of deep vein thrombosis.R01HL137674 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI STEINMETZ, NICOLE FRANZISKA · 2017 to 2020
$2.3M
NHLBI NIH HHS R01 HL137674
6 · The paper itself

Abstract

The standard therapy for cardiovascular disease (CVD) is the administration of statins to reduce plasma cholesterol levels, but this requires lifelong treatment. We developed a CVD vaccine candidate that targets the pro-inflammatory mediator calprotectin by eliciting antibodies against the S100A9 protein. The vaccine, based on bacteriophage Qβ virus-like particles (VLPs) displaying S100A9 peptide epitopes, was formulated as a slow-release PLGA:VLP implant by hot-melt extrusion. The single-dose implant elicited S100A9-specific antibody titers comparable to a three-dose injection schedule with soluble VLPs. In an animal model of CVD (ApoE

Indexed as

atherosclerosiscalprotectinS100A9vaccinevirus-like particle

Identifiers

PMID36570039
PMCPMC9783282
OpenAlexW4284714826

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.