Evidence map›Paper›PMID 39523736›Full record

ArticleAdvanced healthcare materials2025

Nano Plasma Membrane Vesicle-Lipid Nanoparticle Hybrids for Enhanced Gene Delivery and Expression.

Claudio Luca Alter, Claudia Lotter, Ramya Deepthi Puligilla, Jan Stephan Bolten, Jaroslaw Sedzicki, Jason Marchese, Valentin Schittny, Francesca Rucci, Michael Beverly, Cornelia G Palivan and 3 more

Abstract read
In one paragraph

Article in Advanced healthcare materials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Decoding Undesirable Inflammatory Responses of Nucleic Acid-Delivering Lipid Nanoparticles.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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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

13 authors.

Claudio Luca AlterDepartment of Pharmaceutical Sciences, Division of Pharmaceutical Technology, University of Basel, Klingelbergstrasse 50, Basel, 4056, Switzerland.ORCID 0009-0005-2034-2870
Claudia LotterDepartment of Pharmaceutical Sciences, Division of Pharmaceutical Technology, University of Basel, Klingelbergstrasse 50, Basel, 4056, Switzerland.ORCID 0009-0009-0756-964X
Ramya Deepthi PuligillaDepartment of Pharmaceutical Sciences, Division of Pharmaceutical Technology, University of Basel, Klingelbergstrasse 50, Basel, 4056, Switzerland.
Jan Stephan BoltenDepartment of Pharmaceutical Sciences, Division of Pharmaceutical Technology, University of Basel, Klingelbergstrasse 50, Basel, 4056, Switzerland.
Jaroslaw SedzickiBiozentrum, University of Basel, Spitalstrasse 41, Basel, 4056, Switzerland.ORCID 0000-0002-0194-2249
Jason MarcheseNovartis BioMedical Research, 100 Technology Square, Cambridge, MA, 02139, USA.
Valentin SchittnyDepartment of Pharmaceutical Sciences, Division of Pharmaceutical Technology, University of Basel, Klingelbergstrasse 50, Basel, 4056, Switzerland.ORCID 0000-0003-0890-2562
Francesca RucciNovartis Biologics Research Center, Fabrikstrasse 16, Basel, 4056, Switzerland.
Michael BeverlyNovartis BioMedical Research, 100 Technology Square, Cambridge, MA, 02139, USA.
Cornelia G PalivanDepartment of Chemistry, University of Basel, Mattenstrasse 24a, BPR 1096, Basel, 4058, Switzerland.
Pascal DetampelDepartment of Pharmaceutical Sciences, Division of Pharmaceutical Technology, University of Basel, Klingelbergstrasse 50, Basel, 4056, Switzerland.ORCID 0000-0002-2210-5220
Tomaž EinfaltDepartment of Pharmaceutical Sciences, Division of Pharmaceutical Technology, University of Basel, Klingelbergstrasse 50, Basel, 4056, Switzerland.
Jörg HuwylerDepartment of Pharmaceutical Sciences, Division of Pharmaceutical Technology, University of Basel, Klingelbergstrasse 50, Basel, 4056, Switzerland.ORCID 0000-0003-1748-5676

Funding

Phospholipid Research Center JHU-2021-094/2-1Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung CRSII-222794Swiss Centre for Applied Human Toxicology SCAHT-GL 21-09Swiss Nanoscience Institute SNI-P1801
6 · The paper itself

Abstract

Lipid nanoparticles (LNPs) have emerged as the leading nonviral nucleic acid (NA) delivery system, gaining widespread attention for their use in COVID-19 vaccines. They are recognized for their efficient NA encapsulation, modifiability, and scalable production. However, LNPs face efficacy and potency limitations due to suboptimal intracellular processing, with endosomal escape efficiencies (ESE) below 2.5%. Additionally, up to 70% of NPs undergo recycling and exocytosis after cellular uptake. In contrast, cell-derived vesicles offer biocompatibility and high-delivery efficacy but are challenging to load with exogenous NAs and to manufacture at large-scale. To leverage the strengths of both systems, a hybrid system is designed by combining cell-derived vesicles, such as nano plasma membrane vesicles (nPMVs), with LNPs through microfluidic mixing and subsequent dialysis. These hybrids demonstrate up to tenfold increase in ESE and an 18-fold rise in reporter gene expression in vitro and in vivo in zebrafish larvae (ZFL) and mice, compared to traditional LNPs. These improvements are linked to their unique physico-chemical properties, composition, and morphology. By incorporating cell-derived vesicles, this strategy streamlines the development process, significantly enhancing the efficacy and potency of gene delivery systems without the need for extensive screening.

Indexed as

Gene Transfer TechniquesLipidsNanoparticlesZebrafishAnimalsCell MembraneHumansLiposomesMiceSARS-CoV-2Lipid NanoparticlesLipidsLiposomesextracellular vesiclesgene deliverygene therapyhybrid vesicleslipid nanoparticles

Identifiers

PMID39523736
PMCPMC11694093

What OpenQuestion holds

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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.