Evidence map›Paper›PMID 41648519›Full record

ArticlebioRxiv : the preprint server for biology2026

Structural heterogeneity in mRNA-LNP subpopulations revealed by AF4-SAXS: implications for cargo loading and cell transfection.

Adrian Sanchez-Fernandez, Keira A Donnelly, Hans Bolinsson, Anna-Maria Börjesdotter, Thomas Rønnemoes Bobak, Simon Erlendsson, Meysam Mohammadi-Zerankeshi, Khaled AboulFotouh, Mohammed R Kawelah, Fátima Herranz-Trillo and 6 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

16 authors.

Adrian Sanchez-FernandezCentro Singular de Investigación en Química Biolóxica e Materiais Moleculares (CIQUS), Departamento de Enxeñaría Química, Universidade de Santiago de Compostela, Santiago de Compostela, Spain.
Keira A DonnellyDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States.
Hans BolinssonDepartment of Process and Life Science Engineering, Lund University, Lund, Sweden.
Anna-Maria BörjesdotterDepartment of Process and Life Science Engineering, Lund University, Lund, Sweden.
Thomas Rønnemoes BobakNucleic Acid Research, Novo Nordisk A/S, Måløv, Denmark.
Simon ErlendssonResearch Centres of Excellence, Novo Nordisk A/S, Måløv, Denmark.
Meysam Mohammadi-ZerankeshiWalker Department of Mechanical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States.
Khaled AboulFotouhWalker Department of Mechanical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States.
Mohammed R KawelahMcKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States.
Fátima Herranz-TrilloMAX IV Laboratory, Lund University, Lund, Sweden.
Herje SchagerlöfDrug Product Research, Novo Nordisk A/S, Måløv, Denmark.
Umberto Capasso PalmieroNucleic Acid Research, Novo Nordisk, Lexington, Massachusetts, United States.
Kasper HuusNucleic Acid Research, Novo Nordisk A/S, Måløv, Denmark.
Keith P JohnstonMcKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States.
Alexander E MarrasDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States.ORCID 0000-0001-8972-9532
Lars NilssonDepartment of Process and Life Science Engineering, Lund University, Lund, Sweden.

Funding

Expanding the design space of polyelectrolyte complex micellesR35GM154984 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI Alexander Edison Marras · 2024 to 2026
$1.1M
NIGMS NIH HHS R35 GM154984
6 · The paper itself

Abstract

Lipid nanoparticles are the leading platform for the delivery of nucleic acid therapeutics, yet their structural complexity remains a significant barrier to achieve rational design and predictable function. Part of this complexity arises from the non-equilibrium assemblies that are difficult to identify using ensemble average techniques given the substantial heterogeneity in all properties. Aiming to overcome the limitations of traditional characterization methods, we combined asymmetric flow field-flow fractionation with in-line small-angle X-ray scattering and spectroscopic analyses, nanoflow cytometry, and cryo-EM to construct detailed structural models of mRNA-loaded nanoparticles formulated with different amounts of mRNA loading (N/P ratios of 3 and 6). This combination of techniques revealed that microfluidic formulation produces structurally diverse nanoparticle subpopulations differing in size, anisotropy, and cargo loading. Notably, these variations extend to the particle internal organization: spheroidal geometries display densely loaded mRNA cores, whereas bleb-like morphologies exhibit reduced mRNA content relative to the lipid amount within segregated domains at the core. NanoFCM further shows that the N/P ratio modulates cargo distribution across individual nanoparticles, with N/P=6 yielding a more uniform mRNA copy number per particle across subpopulations than N/P=3. These differences resulted in higher transfection efficacies for the N/P=6 formulation, highlighting core organization and loading homogeneity as key parameters for efficacious delivery. Together, these results establish a direct link between LNP architecture, internal organization, cargo distribution, and transfection efficiency, underscoring the importance of accounting for heterogeneity in the rational design of nucleic acid delivery systems.

Identifiers

PMID41648519
PMCPMC12871148

What OpenQuestion holds

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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.