Evidence map›Paper›PMID 41649044›Full record

ArticleSmall methods2026

Single-Particle Characterization Reveals Heterogeneous Extracellular Vesicle Fusion with Liposomes.

Rachel R Mizenko, Vishalakshi Arun, David Meshkanian, Neona M Lowe, Henna Mohabbat, Aijun Wang, Randy P Carney

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. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
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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

7 authors.

Rachel R MizenkoDepartment of Biomedical Engineering, University of California, Davis, USA.
Vishalakshi ArunDepartment of Biomedical Engineering, University of California, Davis, USA.
David MeshkanianDepartment of Biomedical Engineering, University of California, Davis, USA.
Neona M LoweDepartment of Biomedical Engineering, University of California, Davis, USA.
Henna MohabbatDepartment of Biomedical Engineering, University of California, Davis, USA.
Aijun WangDepartment of Biomedical Engineering, University of California, Davis, USA.
Randy P CarneyDepartment of Biomedical Engineering, University of California, Davis, USA.ORCID https://orcid.org/0000-0001-8193-1664

Funding

Staff InvestigatorsP30CA093373 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI KC KENT LLOYD · 2002 to 2026
$84.9M
SERS diagnostics platform for liquid bioapsy analysis of tumor-associated exosomesR01CA241666 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI CARNEY, RANDY · 2020 to 2024
$2.5M
Bottom-up, high-throughput prototyping of extracellular vesicle mimetics using cell-free synthetic biologyR01EB034279 · NIBIB · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Randy Carney, Cheemeng Tan · 2023 to 2026
$2.5M
Homogenized, engineered extracellular vesicles for intracranial targetingR01EB033389 · NIBIB · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Randy Carney, Aijun Wang · 2023 to 2026
$2.4M
Engineered extracellular vesicles as a targeted drug delivery system for multiple sclerosisF31NS120590 · NINDS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI MIZENKO, RACHEL REGINA · 2022 to 2024
$109k
Comprehensive Cancer Center Support Grant (CCSG) NCI P30CA093373NCI NIH HHS P30 CA093373NCI NIH HHS R01 CA241666NIBIB NIH HHS R01 EB033389NIBIB NIH HHS R01 EB034279NIH HHS F31NS120590NIH HHS R01CA241666NIH HHS R01EB033389NIH HHS R01EB034279NIH HHS RPCNIH HHS RPC/AWNIH HHS RRMNINDS NIH HHS F31 NS120590
6 · The paper itself

Abstract

Fusion of extracellular vesicles (EVs) with liposomes can be used to alter the properties of EVs to enhance their drug delivery capabilities. However, metrics for assessing fusion are not well established. Fusion efficiency, the most frequently provided metric, is often characterized in bulk, clouding distribution of fusion across heterogeneous EV populations, and lacking assessment of more precise physical effects of fusion. Here we applied orthogonal single-particle techniques including nanoparticle-tracking analysis (NTA), resistive-pulse sensing (RPS), nanoscale flow cytometry, interferometric fluorescence imaging, and laser trapping Raman spectroscopy (LTRS), each with different limitations, to examine the effects of fusion. All techniques reduced particle number, while single-particle fluorescence analyses revealed substantial differences in fused-particle yield. Nanoscale flow cytometry and interferometric fluorescence imaging consistently identified freeze-thaw and sonication as producing the highest numbers of fused vesicles, with freeze-thaw generating the lowest proportion of non-fused EVs and liposomes. Interferometric fluorescence imaging further showed that fused vesicles retained native EV membrane proteins, but that fusion also reduced the abundance of these proteins, indicating membrane perturbation. We introduce here a multi-metric framework to evaluate fusion efficiency, purity, and physical alterations to vesicles, as a basis for comparing techniques and to support future optimization of engineered EV formulations.

Indexed as

Extracellular VesiclesLiposomesAnimalsFlow CytometryMembrane FusionNanoparticlesSpectrum Analysis, RamanLiposomesEV heterogeneityexosomeshybrid vesicleslipid bilayersnanoengineering

Identifiers

PMID41649044
PMCPMC12922924

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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.