Evidence map›Paper›PMID 42649577›Full record

ArticleAdvanced healthcare materials2026

Plasma Gelation as an Overlooked Determinant of Transfection Efficiency in Protein Corona-Coated Lipid Nanoparticles: Implications for In Vitro-In Vivo Translation.

Serena Renzi, Luca Digiacomo, Francesca Giulimondi, Daniela Pozzi, Junbiao Wang, Augusto Amici, Cristina Marchini, Chiara Cassone, Alessandra Zingoni, Fabrizio Marra and 5 more

Abstract read
In one paragraph

Article in Advanced healthcare materials, 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

15 authors.

Serena Renzi *Department of Molecular Medicine, Sapienza University of Rome, Rome, Italy.ORCID https://orcid.org/0000-0002-8206-8994
Luca Digiacomo *Department of Medical Surgical Sciences and Biotechnologies, Sapienza University of Rome, Latina, Italy.ORCID https://orcid.org/0000-0003-3362-7160
Francesca GiulimondiDepartment of Molecular Medicine, Sapienza University of Rome, Rome, Italy.ORCID https://orcid.org/0000-0003-0848-0857
Daniela PozziDepartment of Molecular Medicine, Sapienza University of Rome, Rome, Italy.ORCID https://orcid.org/0000-0001-6158-5880
Junbiao WangSchool of Biosciences and Veterinary Medicine, University of Camerino, Camerino, Italy.ORCID https://orcid.org/0000-0001-8695-323X
Augusto AmiciSchool of Biosciences and Veterinary Medicine, University of Camerino, Camerino, Italy.
Cristina MarchiniSchool of Biosciences and Veterinary Medicine, University of Camerino, Camerino, Italy.ORCID https://orcid.org/0000-0001-7692-8428
Chiara CassoneDepartment of Molecular Medicine, Sapienza University of Rome, Rome, Italy.ORCID https://orcid.org/0009-0003-6306-0238
Alessandra ZingoniDepartment of Molecular Medicine, Sapienza University of Rome, Rome, Italy.ORCID https://orcid.org/0000-0003-0906-1566
Fabrizio MarraDepartment of Astronautics, Electrical and Energy Engineering, Sapienza University of Rome, Rome, Italy.ORCID https://orcid.org/0000-0002-2567-7646
Luca BucciniDepartment of Basic and Applied Sciences for Engineering (SBAI), Sapienza University of Rome, Rome, Italy.ORCID https://orcid.org/0000-0001-5862-2484
Francesco MuraResearch Center on Nanotechnologies applied to Engineering (CNIS), Sapienza University of Rome, Rome, Italy.ORCID https://orcid.org/0000-0001-8490-9438
Valentina De LorenziLaboratorio NEST, Scuola Normale Superiore, Pisa, Italy.ORCID https://orcid.org/0000-0002-7429-6524
Francesco CardarelliLaboratorio NEST, Scuola Normale Superiore, Pisa, Italy.ORCID https://orcid.org/0000-0003-3049-5940
Giulio CaraccioloDepartment of Molecular Medicine, Sapienza University of Rome, Rome, Italy.ORCID https://orcid.org/0000-0002-8636-4475

Funding

AIRC Foundation for Cancer Resarch 32500AIRC Foundation for Cancer Resarch 32938European Union
6 · The paper itself

Abstract

A common observation in drug delivery studies is that preincubation of nanoparticles (NPs) with high concentrations of human plasma (HP) markedly reduces in vitro transfection efficiency (TE). This effect is commonly attributed to the formation of a protein corona (PC), which is assumed to impair cellular uptake or intracellular trafficking of gene delivery systems such as lipid nanoparticles (LNPs). However, the evidence presented here suggests an alternative mechanism underlying this phenomenon. To reproduce conditions in which LNPs encounter an excess of circulating proteins, NPs were incubated in HP prior to exposure to cells in standard calcium-containing culture medium. Under these conditions, plasma undergoes gelation, leading to the formation of a clot-like network. A combination of complementary approaches, including dynamic light scattering (DLS), fluorescence-activated cell sorting (FACS), confocal fluorescence microscopy, raster image correlation spectroscopy (RICS), and functional assays evaluating TE and cell viability, demonstrates that this gel-like matrix restricts LNP diffusion in the extracellular environment. In contrast, coronated LNPs that reach the intracellular space display comparable trafficking behavior, indicating that the PC does not compromise intracellular processing. These findings highlight the importance of extracellular factors when evaluating the impact of the PC and extrapolating in vitro results to in vivo settings.

Indexed as

LipidsNanoparticlesProtein CoronaTransfectionCell SurvivalHumansLiposomesLipid NanoparticlesLipidsLiposomesProtein Coronabio‐nano interactionsin vitro transfectionlipid nanoparticlesprotein corona

Identifiers

PMID42649577
PMCPMC13612937

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.