ArticleVaccine2008
Prime-boost vaccination with a combination of proteosome-degradable and wild-type forms of two influenza proteins leads to augmented CTL response.
Article in Vaccine, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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.
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.
Who cites it
8 citing papers in PubMed, 18 citations in OpenAlex.
- Recalling the Future: Immunological Memory Toward Unpredictable Influenza Viruses.Frontiers in immunology · 2019Review
- Universal influenza vaccines: from viruses to nanoparticles.Expert review of vaccines · 2018Review
- Protective Efficacy of the Conserved NP, PB1, and M1 Proteins as Immunogens in DNA- and Vaccinia Virus-Based Universal Influenza A Virus Vaccines in Mice.Clinical and vaccine immunology : CVI · 2015Article
- Feasibility analysis of p62 (SQSTM1)-encoding DNA vaccine as a novel cancer immunotherapy.International reviews of immunology · 2014Review
- Broad-spectrum anti-tumor and anti-metastatic DNA vaccine based on p62-encoding vector.Oncotarget · 2013Article
- A novel DNA vaccine technology conveying protection against a lethal herpes simplex viral challenge in mice.PloS one · 2013Article
- Regulation of Immunogen Processing: Signal Sequences and Their Application for the New Generation of DNA-Vaccines.Acta naturae · 2010Article
- The proteosomal degradation of fusion proteins cannot be predicted from the proteosome susceptibility of their individual components.Protein science : a publication of the Protein Society · 2008Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
Abstract
Targeting viral antigens for proteosomal degradation has previously been proposed as a means for immunogenicity augmentation. However, utilization of modified unstable antigens may be insufficient for potent T-cell cross-presentation by APCs, a mechanism that requires high levels of the antigenic protein. Therefore, we hypothesized that a recombinant vaccine utilizing a combination of proteosome-sensitive and proteosome-resistant versions of an antigen in a prime-boost regimen may provide the most efficient CTL response. To address this hypothesis, we utilized conserved proteosome-resistant influenza A virus proteins M1 and NS1. Unstable versions of these polypeptides were constructed by destroying their 3D structure via truncations or short insertions into predicted alpha-helical structures. These modified polypeptides were stabilized in the presence of the proteosome inhibitor MG132, strongly suggesting that they are degraded via a ubiquitin-proteosome pathway. Importantly, with both M1 and NS1antigens, homologous DNA vaccination with a mixture of unstable and proteosome-resistant wt forms of these proteins resulted in significantly higher CTL activity than vaccination with either wt or degradable forms. The most dramatic effect was seen with NS1, where homologous immunization with a mixture of these two forms was the only regimen that produced a notable elevation of CTL response, compared to vaccination with the wt NS1. Additionally, for M1 protein, heterologous vaccination utilizing the unstable form as prime and wild-type form as boost, demonstrated significant augmentation of the CTL response. These data indicate that combining proteosome-sensitive and proteosome-resistant forms of an antigen during vaccination is advantageous.
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Registered trials
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.