Evidence map›Paper›PMID 41062882›Full record

ReviewNature reviews. Chemistry2025

The impact of chemical reactivity on the quality and stability of RNA-LNP pharmaceuticals.

Tristan Kovačič, Heinrich Haas, Lior Stotsky-Oterin, Aleš Štrancar, Urban Bren, Dan Peer

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
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

6 authors.

Tristan KovačičFaculty of Chemistry and Chemical Engineering, University of Maribor, Maribor, Slovenia.
Heinrich HaasNeoVac Ltd., Oxfordshire, UK. heinrich@neovac.co.uk.ORCID 0000-0002-5517-5970
Lior Stotsky-OterinLaboratory of Precision Nanomedicine, The Shmunis School of Biomedicine and Cancer Research, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv-Yafo, Israel.
Aleš ŠtrancarSartorius BIA Separations d.o.o., Ajdovščina, Slovenia.
Urban BrenFaculty of Chemistry and Chemical Engineering, University of Maribor, Maribor, Slovenia. urban.bren@um.si.ORCID 0000-0002-8806-3019
Dan PeerLaboratory of Precision Nanomedicine, The Shmunis School of Biomedicine and Cancer Research, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv-Yafo, Israel. peer@tauex.tau.ac.il.ORCID 0000-0001-8238-0673

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lipid nanoparticles (LNPs) are the most established platform for delivery of mRNA payloads. Their tunability and streamlined manufacturing facilitated an unprecedentedly rapid scale-up during the COVID-19 pandemic. However, being multicomponent, complex systems also poses a challenge of controlling their quality and safety. Analytical checkpoints need to be established to characterize LNPs on multiple levels during development and commercialization. This Perspective centres on the chemical reactivity and purity of mRNA-LNP components, which need to be addressed as raw materials, drug substance, excipients, and the fully formed and stored product. Herein, we describe such appropriate orthogonal analytics to design and analyse LNP formulations. For such novel biopharmaceuticals, better controls that go beyond the current analytical workflow and address the nuanced chemical stability, which helps ensure reproducibility, stability and safety, need to be established.

Indexed as

LipidsNanoparticlesRNA, MessengerCOVID-19Drug StabilityHumansLiposomesSARS-CoV-2Lipid NanoparticlesLipidsLiposomesRNA, Messenger

Identifiers

What OpenQuestion holds

Textmetadata
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.