Evidence map›Paper›PMID 42350438›Full record

ArticleNPJ vaccines2026

Next-generation mRNA vaccines: strategies to overcome stability challenges.

Abdullah Algaissi, Sivakumar S Moni

Abstract read
In one paragraph

Article in NPJ vaccines, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Abdullah AlgaissiDepartment of Medical Laboratories Technology, College of Nursing and Health Sciences, Jazan University, Jazan, Saudi Arabia. aalgaissi@jazanu.edu.sa.
Sivakumar S MoniEmerging and Endemic Infectious Diseases Research Unit, Health Research Center, Jazan University, Jazan, Saudi Arabia. drsmsivakumar@gmail.com.

Funding

Research, Development, and Innovation Authority (RDIA) - Kingdom of Saudi Arabia 12899-jazzan-2023-JZU-R-2-1-HW
6 · The paper itself

Abstract

Messenger RNA (mRNA) vaccines represent a paradigm shift in rapid vaccine development and pandemic preparedness, enabling unprecedented speed in antigen design and scalable, cell-free manufacturing. Despite proven clinical efficacy, widespread mRNA vaccine deployment remains critically constrained by fundamental molecular instability requiring ultra-cold chain storage. The chemical lability of the RNA phosphodiester backbone, 2'-hydroxyl-mediated transesterification, oxidative nucleobase damage, and lipid nanoparticle (LNP) structural vulnerabilities collectively limit long-term stability and the feasibility of global distribution. This review provides a mechanistic analysis of RNA hydrolysis, oxidative degradation, lipid peroxidation, PEG-lipid desorption, and freeze-thaw-induced nanoparticle aggregation, linking molecular instability to translational challenges in storage and supply chain logistics. We critically evaluate engineering strategies to enhance stability, including optimized LNP architectures, lyophilization with vitrifying excipients, antioxidant incorporation, lipid-polymer hybrid nanocarriers, hydrogel-based depots, self-amplifying mRNA (saRNA), and circular RNA (circRNA) constructs. Stability modeling, cold-chain risk analysis, and regulatory Chemistry, Manufacturing, and Controls (CMC) considerations are discussed to contextualize formulation robustness within real-world distribution systems. Advancing mRNA vaccines beyond ultra-cold dependence will require coordinated innovation in RNA engineering, delivery system optimization, and scalable manufacturing to enable thermostable, resilient, and globally deployable vaccine technologies.

Identifiers

PMID42350438
PMCPMC13661598

What OpenQuestion holds

Textmetadata
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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.