Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Article . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

TRANSLATING MRNA–LIPID NANOPARTICLE TECHNOLOGIES TO THE CLINIC: PHASE-APPROPRIATE CMC, NONCLINICAL, AND EARLY CLINICAL CONSIDERATIONS

Authors: François-Xavier Lacasse*a,b;

TRANSLATING MRNA–LIPID NANOPARTICLE TECHNOLOGIES TO THE CLINIC: PHASE-APPROPRIATE CMC, NONCLINICAL, AND EARLY CLINICAL CONSIDERATIONS

Abstract

Messenger RNA (mRNA)–lipid nanoparticle (LNP) technologies have become central to the development of next-generation vaccines and therapeutics. As these platforms advance from early discovery to clinical application, an integrated, phase-appropriate development strategy is essential for ensuring both scientific rigor and regulatory alignment. This review provides a comprehensive framework to guide translational research teams through the complex landscape of mRNA–LNP product development, from initial design decisions to first-in-human trials. We examine key considerations in mRNA construct optimization, lipid nanoparticle formulation, and analytical characterization, emphasizing the importance of early analytical method development for identity, purity, potency, and stability. Nonclinical strategies, including proof-of-concept pharmacology, biodistribution, and toxicology, are discussed with a focus on distinguishing between vaccine and therapeutic applications. Clinical development considerations are also explored, highlighting dose escalation, safety monitoring, and immune profiling. This phase-appropriate approach aims to assist fundamental research teams in bridging the gap from preclinical discoveries to IND-enabling clinical trials. With a background in early drug development across various therapeutic areas, the author has been involved in regulatory submissions, scientific and business assessments, and the development of complex delivery systems, including liposomal and nanoparticulate formulations. Drawing on this experience, the author aims to contribute to the ongoing dialogue between fundamental researchers and the clinical development process, helping to translate promising innovations into tangible patient outcomes.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average