Evidence map›Paper›PMID 41710557›Full record

ReviewIn vitro models2025

Pre-clinical evaluation of mRNA-lipid nanoparticles' potency and toxicity: current practices and future directions.

Chloé Muzard, Johanne Seguin, Jonathan Bonnefoy, Nahla Salkini, Vincent Serra, Khair Alhareth, Katia Lemdani, Nathalie Mignet

Abstract readReview
In one paragraph

Review in In vitro models, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. New approach methodologies (NAMs) for preclinical and translational evaluation of mRNA-lipid nanoparticle (LNP) therapeutics.Journal of controlled release : official journal of the Controlled Release Society · 2026
    Review
  2. 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

8 authors.

Chloé MuzardUniversité Paris Cité, CNRS, INSERM, Unité des Technologies Chimiques et Biologiques pour la Santé (UTCBS), Paris, 75006 France.
Johanne SeguinUniversité Paris Cité, CNRS, INSERM, Unité des Technologies Chimiques et Biologiques pour la Santé (UTCBS), Paris, 75006 France.
Jonathan BonnefoyNeovacs SA, Suresnes, France.
Nahla SalkiniUniversité Paris Cité, CNRS, INSERM, Unité des Technologies Chimiques et Biologiques pour la Santé (UTCBS), Paris, 75006 France.
Vincent SerraNeovacs SA, Suresnes, France.
Khair AlharethUniversité Paris Cité, CNRS, INSERM, Unité des Technologies Chimiques et Biologiques pour la Santé (UTCBS), Paris, 75006 France.
Katia LemdaniNeovacs SA, Suresnes, France.
Nathalie MignetUniversité Paris Cité, CNRS, INSERM, Unité des Technologies Chimiques et Biologiques pour la Santé (UTCBS), Paris, 75006 France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the last few years, the success of COVID-19 mRNA vaccines has resulted in the emergence of RNA lipid nanoparticles (LNPs) with promising prospects for the prevention and treatment of various diseases. The context of the SARS-CoV-2 pandemic has led to the rapid development of vaccines with abbreviated non-clinical programs. However, there are currently no official guidelines defining the required standards for global marketing of mRNA based therapeutic products. Nevertheless, to guarantee a well-controlled product, it is essential to characterize both the drug substance and the final product in terms of their structure, composition, formulation, physico-chemical features, potency, and safety. This lack of guidance has resulted in a wide variety of heterogeneous in vitro tests being used to assess the potency and cytotoxicity of RNA-LNP. This review discusses the commonly used in vitro assays, primarily 2D monolayer assays, employed to evaluate the biological properties of RNA-LNP. We then explore novel alternative methods to bridge the gap between in vitro and in vivo results. We summarize (i) co-culture models, (ii) multilayer 3D assays and (iii) in vivo replacement models, exploring their potential applications in assessing the potency and safety of RNA-LNPs. Finally, we discuss the use of in silico and machine learning as models for optimizing and predicting the biological behavior of RNA-LNPs. Graphical Abstract:

Indexed as

In vitro assayLipid nanoparticles (LNPs)MRNANovel alternative modelsPotencyToxicity

Identifiers

PMID41710557
PMCPMC12909681

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.