Evidence map›Paper›PMID 33037116›Full record

ArticleJournal for immunotherapy of cancer2020

Nanoemulsion adjuvantation strategy of tumor-associated antigen therapy rephrases mucosal and immunotherapeutic signatures following intranasal vaccination.

Chung-Hsiung Huang, Chiung-Yi Huang, Hui-Min Ho, Ching-Hung Lee, Pang-Ti Lai, Suh-Chin Wu, Shih-Jen Liu, Ming-Hsi Huang

Open access · goldAbstract read
In one paragraph

Article in Journal for immunotherapy of cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

8 citing papers in PubMed, 20 citations in OpenAlex.

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  2. Mucosal immunotherapy targeting APC in lung disease.Journal of inflammation (London, England) · 2025
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  4. Aerosol pulmonary immune engineering.Advanced drug delivery reviews · 2023
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  5. Article
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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

8 authors at 4 institutions in 1 country.

Chung-Hsiung HuangDepartment of Food Science, National Taiwan Ocean University, Keelung, Taiwan.
Chiung-Yi HuangNational Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, Miaoli, Taiwan.
Hui-Min HoNational Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, Miaoli, Taiwan.
Ching-Hung LeeNational Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, Miaoli, Taiwan.
Pang-Ti LaiNational Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, Miaoli, Taiwan.
Suh-Chin WuInstitute of Biotechnology, National Tsing Hua University, Hsinchu, Taiwan.
Shih-Jen LiuNational Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, Miaoli, Taiwan.
Ming-Hsi HuangNational Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, Miaoli, Taiwan huangminghsi@nhri.org.tw.ORCID 0000-0002-9670-3821
National Health Research Institutes · TWKaohsiung Medical University · TWNational Taiwan Ocean University · TWNational Tsing Hua University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEmulsion adjuvants are a potent tool for effective vaccination; however, the size matters on mucosal signatures and the mechanism of action following intranasal vaccination remains unclear. Here, we launch a mechanistic study to address how mucosal membrane interacts with nanoemulsion of a well-defined size at cellular level and to elucidate the impact of size on tumor-associated antigen therapy.

methodsThe squalene-based emulsified particles at the submicron/nanoscale could be elaborated by homogenization/extrusion. The mucosal signatures following intranasal delivery in mice were evaluated by combining whole-mouse genome microarray and immunohistochemical analysis. The immunological signatures were tested by assessing their ability to influence the transportation of a model antigen ovalbumin (OVA) across nasal mucosal membranes and drive cellular immunity in vivo. Finally, the cancer immunotherapeutic efficacy is monitored by assessing tumor-associated antigen models consisting of OVA protein and tumor cells expressing OVA epitope.

resultsUniform structures with ~200 nm in size induce the emergence of membranous epithelial cells and natural killer cells in nasal mucosal tissues, facilitate the delivery of protein antigen across the nasal mucosal membrane and drive broad-spectrum antigen-specific T-cell immunity in nasal mucosal tissues as well as in the spleen. Further, intranasal vaccination of the nanoemulsion could assist the antigen to generate potent antigen-specific CD8+ cytotoxic T-lymphocyte response. When combined with immunotherapeutic models, such an effective antigen-specific cytotoxic activity allowed the tumor-bearing mice to reach up to 50% survival 40 days after tumor inoculation; moreover, the optimal formulation significantly attenuated lung metastasis.

conclusionsIn the absence of any immunostimulator, only 0.1% content of squalene-based nanoemulsion could rephrase the mucosal signatures following intranasal vaccination and induce broad-spectrum antigen-specific cellular immunity, thereby improving the efficacy of tumor-associated antigen therapy against in situ and metastatic tumors. These results provide critical mechanistic insights into the adjuvant activity of nanoemulsion and give directions for the design and optimization of mucosal delivery for vaccine and immunotherapy.

Indexed as

Adjuvants, ImmunologicAdministration, IntranasalAnimalsFemaleHumansImmunomodulationImmunotherapyMiceMucous MembraneNanoparticlesVaccinationAdjuvants, Immunologicadjuvantsimmunogenicityimmunomodulationimmunotherapypharmaceuticvaccinationvaccine

Identifiers

PMID33037116
PMCPMC7549439
OpenAlexW3092250355

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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.