Evidence map›Paper›PMID 36481697›Full record

ArticleScientific reports2022

Effective adjuvantation of nanograms of influenza vaccine and induction of cross-protective immunity by physical radiofrequency adjuvant.

Zhuofan Li, Xinliang Kang, Ki-Hye Kim, Yiwen Zhao, Yibo Li, Sang-Moo Kang, Xinyuan Chen

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. 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
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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Dual roles ofFrontiers in immunology · 2025
    Article
  3. Article
  4. Article
  5. Emerging adjuvants for intradermal vaccination.International journal of pharmaceutics · 2023
    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

7 authors at 2 institutions in 1 country.

Zhuofan LiBiomedical & Pharmaceutical Sciences, College of Pharmacy, University of Rhode Island, 7 Greenhouse Road, Avedisian Hall, Room 480, Kingston, RI, 02881, USA.
Xinliang KangBiomedical & Pharmaceutical Sciences, College of Pharmacy, University of Rhode Island, 7 Greenhouse Road, Avedisian Hall, Room 480, Kingston, RI, 02881, USA.
Ki-Hye KimCenter for Inflammation, Immunity & Infection, Institute for Biomedical Sciences, Georgia State University, Atlanta, GA, 30302, USA.
Yiwen ZhaoBiomedical & Pharmaceutical Sciences, College of Pharmacy, University of Rhode Island, 7 Greenhouse Road, Avedisian Hall, Room 480, Kingston, RI, 02881, USA.
Yibo LiBiomedical & Pharmaceutical Sciences, College of Pharmacy, University of Rhode Island, 7 Greenhouse Road, Avedisian Hall, Room 480, Kingston, RI, 02881, USA.
Sang-Moo KangCenter for Inflammation, Immunity & Infection, Institute for Biomedical Sciences, Georgia State University, Atlanta, GA, 30302, USA.
Xinyuan ChenBiomedical & Pharmaceutical Sciences, College of Pharmacy, University of Rhode Island, 7 Greenhouse Road, Avedisian Hall, Room 480, Kingston, RI, 02881, USA. xchen14@uri.edu.
University of Rhode Island · USGeorgia State University · US

Funding

Training CoreP20GM103430 · NIGMS · UNIVERSITY OF RHODE ISLAND · PI Bongsup P Cho · 2012 to 2026
$63.6M
Influenza vaccines inducing broadly cross protective immunityR01AI093772 · NIAID · GEORGIA STATE UNIVERSITY · PI KANG, SANG-MOO · 2011 to 2020
$4.2M
Novel adjuvant to boost humoral and cellular immune responses against influenzaR01AI139473 · NIAID · UNIVERSITY OF RHODE ISLAND · PI CHEN, XINYUAN · 2018 to 2022
$2.1M
High-density flagellin-displayed virus-like particle for universal influenza vaccine development'R21AI156510 · NIAID · UNIVERSITY OF RHODE ISLAND · PI CHEN, XINYUAN · 2021 to 2022
$433k
NIAID NIH HHS R01 AI093772NIAID NIH HHS R01 AI139473NIAID NIH HHS R21 AI156510NIGMS NIH HHS P20 GM103430
6 · The paper itself

Abstract

Novel adjuvants are highly demanded to aid in development of improved or new vaccines against existing or emerging infectious diseases. Considering commonly used Alum and MF59 adjuvants induce tissue stress and release of endogenous danger signals to mediate their adjuvant effects, physical modalities may be used to induce tissue stress and endogenous danger signal release to enhance vaccine-induced immune responses. Furthermore, physical adjuvants are less likely to induce significant systemic adverse reactions due to their localized effects. Recently we found non-invasive radiofrequency (RF) pretreatment of the skin could significantly enhance intradermal vaccine-induced immune responses in murine models that included pandemic influenza vaccine, pre-pandemic vaccine, and influenza internal antigen vaccine. It remained to be explored whether the physical RF adjuvant (RFA) could be used to boost seasonal influenza vaccination, spare vaccine doses, and induce cross-protective immunity. This study found the physical RFA could significantly enhance seasonal influenza vaccine-induced immune responses against each viral strain and robustly enhance low-dose (nanograms) H3N2 vaccine-induced immune responses and protection in murine models. RFA also induced cross-protective immunity against heterologous and heterosubtypic influenza viruses. Further studies found heat shock protein 70 (inducible endogenous danger signal) and myeloid differentiation primary response 88 adaptor played a crucial role in dose-sparing effects of RFA. These data strongly support further development of the physical RFA to boost influenza vaccination.

Indexed as

Influenza, HumanInfluenza VaccinesAnimalsHumansInfluenza A Virus, H3N2 SubtypeMiceInfluenza Vaccines

Identifiers

PMID36481697
PMCPMC9732352
OpenAlexW4311583286

What OpenQuestion holds

Textmetadata
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.