Evidence map›Paper›PMID 31075204›Full record

ArticleMolecular pharmaceutics2019

Effect of Adjuvant Release Rate on the Immunogenicity of Nanoparticle-Based Vaccines: A Case Study with a Nanoparticle-Based Nicotine Vaccine.

Zongmin Zhao, Yun Hu, Theresa Harmon, Paul Pentel, Marion Ehrich, Chenming Zhang

Abstract read
In one paragraph

Article in Molecular pharmaceutics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Nanoparticle delivery systems for substance use disorder.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2022
    Review
  4. Article
  5. 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

6 authors.

Yun Hu
Theresa HarmonMinneapolis Medical Research Foundation , Minneapolis , Minnesota 55404 , United States.
Paul PentelMinneapolis Medical Research Foundation , Minneapolis , Minnesota 55404 , United States.
Marion Ehrich

Funding

Novel Nanovaccines Against Nicotine AddictionU01DA036850 · NIDA · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI ZHANG, CHENMING M · 2014 to 2016
$2.3M
NIDA NIH HHS U01 DA036850
6 · The paper itself

Abstract

Adjuvants are a critical component for vaccines, especially for a poorly immunogenic antigen, such as nicotine. However, the impact of adjuvant release rate from a vaccine formulation on its immunogenicity has not been well illustrated. In this study, we fabricated a series of hybrid-nanoparticle-based nicotine vaccines to study the impact of adjuvant release rate on their immunological efficacy. It was found that the nanovaccine with a medium or slow adjuvant release rate induced a significantly higher anti-nicotine antibody titer than that with a fast release rate. Furthermore, the medium and slow adjuvant release rates resulted in a significantly lower brain nicotine concentration than the fast release rate after nicotine challenge. All findings suggest that adjuvant release rate affects the immunological efficacy of nanoparticle-based nicotine vaccines, providing a potential strategy to rationally designing vaccine formulations against psychoactive drugs or even other antigens. The hybrid-nanoparticle-based nicotine vaccine with an optimized adjuvant release rate can be a promising next-generation immunotherapeutic candidate against nicotine.

Indexed as

Adjuvants, ImmunologicAnimalsFemaleKineticsMiceMice, Inbred BALB CNanoparticlesNicotineVaccinesAdjuvants, ImmunologicNicotineVaccinesadjuvant release rateanti-nicotine antibodyinherent viscositynicotine addictionnicotine vaccinePLGA

Identifiers

PMID31075204
PMCPMC7263372

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.