Evidence map›Paper›PMID 42338277›Full record

ArticleSmall methods2026

Mapping mRNA Localization and Internal Structure in Lipid Nanoparticles through Solid-State Dynamic Nuclear Polarization NMR and Proton Spin-Diffusion Modeling.

Adrienn Rancz, Judith Schlagnitweit, Salah-Eddine Akrial, David Gajan, Landry Gayet, Nghia Tuan Duong, Ludovic Richert, Mohamed Chami, Giovanna Lollo, Florent Peral and 6 more

Abstract read
In one paragraph

Article in Small methods, 2026. 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

16 authors.

Adrienn RanczCNRS, ENS Lyon, CRMN (Centre de RMN à Hauts Champs de Lyon UMR 5082), Université Claude Bernard Lyon 1, Villeurbanne, France.
Judith SchlagnitweitCNRS, ENS Lyon, CRMN (Centre de RMN à Hauts Champs de Lyon UMR 5082), Université Claude Bernard Lyon 1, Villeurbanne, France.
Salah-Eddine AkrialCNRS, ENS Lyon, CRMN (Centre de RMN à Hauts Champs de Lyon UMR 5082), Université Claude Bernard Lyon 1, Villeurbanne, France.
David GajanCNRS, ENS Lyon, CRMN (Centre de RMN à Hauts Champs de Lyon UMR 5082), Université Claude Bernard Lyon 1, Villeurbanne, France.
Landry GayetCNRS, ENS Lyon, CRMN (Centre de RMN à Hauts Champs de Lyon UMR 5082), Université Claude Bernard Lyon 1, Villeurbanne, France.
Nghia Tuan DuongCNRS, ENS Lyon, CRMN (Centre de RMN à Hauts Champs de Lyon UMR 5082), Université Claude Bernard Lyon 1, Villeurbanne, France.
Ludovic RichertLaboratoire de Biophotonique et Pharmacologie (UMR 7213 CNRS, Faculté de pharmacie), Université de Strasbourg, Illkirch, France.
Mohamed ChamiBioEM lab, Biozentrum, University of Basel, Basel, Switzerland.
Giovanna LolloLAGEPP (Laboratoire d'Automatique, de Génie des Procédés et de Génie Pharmaceutique UMR5007), Université Claude Bernard Lyon 1, Villeurbanne, France.ORCID https://orcid.org/0000-0001-7030-3056
Florent PeralSanofi, Marcy l'Étoile, France.
Laurine HourdelLAGEPP (Laboratoire d'Automatique, de Génie des Procédés et de Génie Pharmaceutique UMR5007), Université Claude Bernard Lyon 1, Villeurbanne, France.
Frédéric RonzonSanofi, Marcy l'Étoile, France.
Loïc SalmonCNRS, ENS Lyon, CRMN (Centre de RMN à Hauts Champs de Lyon UMR 5082), Université Claude Bernard Lyon 1, Villeurbanne, France.
Yves MélyLaboratoire de Biophotonique et Pharmacologie (UMR 7213 CNRS, Faculté de pharmacie), Université de Strasbourg, Illkirch, France.
Guido PintacudaCNRS, ENS Lyon, CRMN (Centre de RMN à Hauts Champs de Lyon UMR 5082), Université Claude Bernard Lyon 1, Villeurbanne, France.ORCID https://orcid.org/0000-0001-7757-2144
Anne LesageCNRS, ENS Lyon, CRMN (Centre de RMN à Hauts Champs de Lyon UMR 5082), Université Claude Bernard Lyon 1, Villeurbanne, France.

Funding

Agence Nationale de la Recherche ANR-23-CE29-0027Agence Nationale de la Recherche ANR-24-CE29-5467-01
6 · The paper itself

Abstract

Lipid nanoparticles (LNPs) are the cornerstone of RNA-based vaccine delivery, yet their internal structure, particularly in the presence of large, single-stranded messenger RNA (mRNA), remains poorly understood. Here, we apply relayed dynamic nuclear polarization (DNP)-enhanced solid-state NMR to directly detect encapsulated mRNA and map the spatial distribution of lipid and nucleic acid components within intact LNPs formulated with clinically relevant excipients. By refining cryoprotectant removal and polarizing matrix composition, we report the solid-state NMR observation of the mRNA cargo within functional LNPs, with clear C1'-H1' correlation confirming resonance assignment. Quantitative analysis of polarization enhancements and build-up kinetics reveals a concentric architecture: PEG-lipids reside at the surface, helper lipids (DOPE, cholesterol) in intermediate layers, and mRNA within the core. These experimental trends are reinforced by numerical simulations that model the polarization transport by spin diffusion across a library of eight structural models. A multi-layered core-shell configuration, placing mRNA at the center surrounded by stratified lipid shells, best fits the full set of NMR observables. Together, these results confirm relayed-DNP MAS NMR as a powerful method for probing nanometer-scale spatial organization in LNPs and provide a quantitative structural framework to guide the rational design of RNA delivery systems.

Indexed as

LipidsNanoparticlesRNA, MessengerDiffusionLiposomesMagnetic Resonance SpectroscopyProtonsLipid NanoparticlesLipidsLiposomesProtonsRNA, Messengercore shell arrangementdynamic nuclear polarizationlipid nanoparticlesMAS NMRmRNA vaccines

Identifiers

PMID42338277
PMCPMC13397217

What OpenQuestion holds

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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.