Evidence map›Paper›PMID 39199422›Full record

ReviewBiomolecules2024

Enhancing Vaccine Efficacy and Stability: A Review of the Utilization of Nanoparticles in mRNA Vaccines.

Nargish Parvin, Sang Woo Joo, Tapas Kumar Mandal

Abstract readReview
In one paragraph

Review in Biomolecules, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

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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

3 authors.

Nargish ParvinSchool of Mechanical Engineering, Yeungnam University, Gyeongsan 38541, Republic of Korea.ORCID 0000-0002-1209-1507
Sang Woo JooSchool of Mechanical Engineering, Yeungnam University, Gyeongsan 38541, Republic of Korea.ORCID 0000-0001-9102-4224
Tapas Kumar MandalSchool of Mechanical Engineering, Yeungnam University, Gyeongsan 38541, Republic of Korea.ORCID 0000-0003-2615-8618

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of vaccines has entered a new era with the advent of nanotechnology, particularly through the utilization of nanoparticles. This review focuses on the role of nanoparticles in enhancing the efficacy and stability of mRNA vaccines. Nanoparticles, owing to their unique properties such as high surface area, tunable size, and their ability to be functionalized, have emerged as powerful tools in vaccine development. Specifically, lipid nanoparticles (LNPs) have revolutionized the delivery of mRNA vaccines by protecting the fragile mRNA molecules and facilitating their efficient uptake by cells. This review discusses the various types of nanoparticles employed in mRNA vaccine formulations, including lipid-based, polymer-based, and inorganic nanoparticles, highlighting their advantages and limitations. Moreover, it explores the mechanisms by which nanoparticles improve immune responses, such as enhanced antigen presentation and the prolonged release of mRNA. This review also addresses the challenges and future directions in nanoparticle-based vaccine development, emphasizing the need for further research to optimize formulations for broader applications. By providing an in-depth analysis of the current advancements in and potential of nanoparticles in mRNA vaccines, this review aims to shed light on their critical role in combating infectious diseases and improving public health outcomes.

Indexed as

mRNA VaccinesNanoparticlesAnimalsHumansLiposomesRNA, MessengerVaccine DevelopmentVaccine EfficacyLipid NanoparticlesLiposomesmRNA VaccinesRNA, Messengerlipid nanoparticles (LNPs)mRNA vaccinesnanoparticlesvaccine delivery systemsvaccine stability

Identifiers

PMID39199422
PMCPMC11353004

What OpenQuestion holds

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LicenceCC BY
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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.