ArticleInternational journal of nanomedicine2020
Nanoparticle-Based Vaccines for Brucellosis: Calcium Phosphate Nanoparticles-Adsorbed Antigens Induce Cross Protective Response in Mice.
Article in International journal of nanomedicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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
11 citing papers in PubMed, 23 citations in OpenAlex.
- Modern Strategies for Brucellosis Vaccination: From Traditional Approaches to Innovative Platforms.Vaccines · 2026Review
- Brucellosis vaccine development: immunological mechanisms, animal models, and future directions.Archives of microbiology · 2026Review
- Natural vaccine adjuvants from traditional Chinese medicines: Mechanisms to applications.Acta pharmaceutica Sinica. B · 2025Review
- A comparison between adjuvant and delivering functions of iron oxide and calcium phosphate nanoparticles, using a model protein againstClinical and experimental vaccine research · 2025Article
- Development of a Plant-Expressed Subunit Vaccine against Brucellosis.Microorganisms · 2024Article
- Article
- Emerging applications of nanotechnology in context to immunology: A comprehensive review.Frontiers in bioengineering and biotechnology · 2022Review
- Evaluation of Brucellosis Vaccines: A Comprehensive Review.Frontiers in veterinary science · 2022Review
- Prophylactic vaccine delivery systems against epidemic infectious diseases.Advanced drug delivery reviews · 2021Review
- Topical review on nano-vaccinology: Biochemical promises and key challenges.Process biochemistry (Barking, London, England) · 2021Review
- Applications of Nanovaccines for Disease Prevention in Cattle.Frontiers in bioengineering and biotechnology · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionVaccine formulation with appropriate adjuvants is an attractive approach to develop protective immunity against pathogens. Calcium phosphate nanoparticles (CaPNs) are considered as ideal adjuvants and delivery systems because of their great potential for enhancing immune responses. In the current study, we have designed nanoparticle-based vaccine candidates to induce immune responses and protection against MATERIALS AND
methodsFor this purpose, we used three
resultsThe CaPNs showed an average size of about 90 nm with spherical shape and smooth surface. The CaPNs-adsorbed proteins displayed significant increase in cellular and humoral immune responses compared to the control groups. In addition, our results showed increased ratio of specific IgG2a (associated with Th1) to specific IgG1 (associated with Th2). Also, immunized mice with different vaccine candidate formulations were protected against DISCUSSION: Our data support the hypothesis that these antigens absorbed with CaPNs could be effective vaccine candidates against
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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.