Evidence map›Paper›PMID 41257483›Full record

ArticleBiomacromolecules2025

Simulation Insights into the Assembly of Polyplexes for RNA Delivery.

Jonas Hans Lehnen, Jorge Moreno Herrero, Heinrich Haas, Friederike Schmid, Giovanni Settanni

Abstract read
In one paragraph

Article in Biomacromolecules, 2025. 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

5 authors.

Jonas Hans LehnenDepartment of Physics, Johannes-Gutenberg University Mainz, Staudingerweg 9, 55128 Mainz, Germany.
Jorge Moreno HerreroBioNTech SE, An der Goldgrube 12, 55131 Mainz, Germany.
Heinrich HaasBioNTech SE, An der Goldgrube 12, 55131 Mainz, Germany.ORCID 0000-0002-5517-5970
Friederike SchmidDepartment of Physics, Johannes-Gutenberg University Mainz, Staudingerweg 9, 55128 Mainz, Germany.ORCID 0000-0002-5536-6718
Giovanni SettanniDepartment of Physics, Johannes-Gutenberg University Mainz, Staudingerweg 9, 55128 Mainz, Germany.ORCID 0000-0003-1338-937X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA-based pharmaceuticals proved successful with the COVID-19 vaccines and are now undergoing clinical trials for a broad range of therapeutic indications. Lipid-based nanoparticles (LNPs) have been used so far as delivery systems, although alternatives are still needed to meet efficacy and safety requirements across a broader range of applications. Polyplexes, formed by the self-assembly of cationic polymers with the anionic nucleic acids, constitute a valuable substitute, especially if precise control of the number and shape of the encapsulated RNA chains is possible. Here, we use molecular dynamics simulations of a coarse-grained polyplex model to show that the most important factors controlling it are the charge ratio between polyelectrolytes and RNA and their concentration during assembly. Close to the isoelectric point, the polyplexes are large, whereas in large excess of cationic polymer, their size decreases, allowing one RNA copy per nanoparticle. Our results are consistent with recent experimental work on polyethylenimine polyplexes.

Indexed as

NanoparticlesRNACOVID-19COVID-19 VaccinesHumansLipidsMolecular Dynamics SimulationPolyelectrolytesPolyethyleneiminePolymersSARS-CoV-2COVID-19 VaccinesLipidsPolyelectrolytesPolyethyleneiminePolymersRNA

Identifiers

PMID41257483
PMCPMC12690597

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.