Evidence map›Paper›PMID 34070543›Full record

ReviewViruses2021

Immunopotentiating and Delivery Systems for HCV Vaccines.

Alexander K Andrianov, Thomas R Fuerst

Abstract readReview
In one paragraph

Review in Viruses, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
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  4. Review
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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

2 authors.

Alexander K AndrianovInstitute for Bioscience and Biotechnology Research, University of Maryland, Rockville, MD 20850, USA.ORCID 0000-0001-6186-6156
Thomas R FuerstInstitute for Bioscience and Biotechnology Research, University of Maryland, Rockville, MD 20850, USA.

Funding

Structure-Based Vaccine Design for Hepatits C VirusR01AI132213 · NIAID · UNIV OF MARYLAND, COLLEGE PARK · PI ANDRIANOV, ALEXANDER, FOUNG, STEVEN · 2017 to 2021
$6.0M
NIH HHS R01AI132213
6 · The paper itself

Abstract

Development of preventive vaccines against hepatitis C virus (HCV) remains one of the main strategies in achieving global elimination of the disease. The effort is focused on the quest for vaccines capable of inducing protective cross-neutralizing humoral and cellular immune responses, which in turn dictate the need for rationally designed cross-genotype vaccine antigens and potent immunoadjuvants systems. This review provides an assessment of the current state of knowledge on immunopotentiating compounds and vaccine delivery systems capable of enhancing HCV antigen-specific immune responses, while focusing on the synergy and interplay of two modalities. Structural, physico-chemical, and biophysical features of these systems are discussed in conjunction with the analysis of their in vivo performance. Extreme genetic diversity of HCV-a well-known hurdle in the development of an HCV vaccine, may also present a challenge in a search for an effective immunoadjuvant, as the effort necessitates systematic and comparative screening of rationally designed antigenic constructs. The progress may be accelerated if the preference is given to well-defined molecular immunoadjuvants with greater formulation flexibility and adaptability, including those capable of spontaneous self-assembly behavior, while maintaining their robust immunopotentiating and delivery capabilities.

Indexed as

Drug Delivery SystemsImmunogenicity, VaccineAdjuvants, ImmunologicAnimalsClinical Trials as TopicDrug CompoundingHepacivirusHepatitis CHumansNanoparticlesViral Hepatitis VaccinesAdjuvants, ImmunologicViral Hepatitis Vaccinesdelivery systemshepatitis C virus (HCV)immunoadjuvantsimmunopotentiationmultimericitypharmaceutical formulationsself-assemblyvaccines

Identifiers

PMID34070543
PMCPMC8227888

What OpenQuestion holds

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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.