Evidence map›Paper›PMID 39185333›Full record

ArticleJournal of extracellular biology2024

Orthogonal analysis reveals inconsistencies in cargo loading of extracellular vesicles.

Neona M Lowe, Rachel R Mizenko, Bryan B Nguyen, Kwan Lun Chiu, Vishalakshi Arun, Alyssa Panitch, Randy P Carney

Abstract read
In one paragraph

Article in Journal of extracellular biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Review
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  9. Review
  10. Article
  11. Article
  12. Loading of therapeutic cell penetrating peptides into extracellular vesicles for pulmonary fibrosis.Journal of controlled release : official journal of the Controlled Release Society · 2026
    Article
  13. Review
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Extracellular Vesicle-Based Drug Delivery Systems in Cancer Therapy.International journal of molecular sciences · 2025
    Review
  20. Article
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.

Neona M LoweDepartment of Biomedical Engineering University of California Davis California USA.ORCID https://orcid.org/0000-0002-7426-0273
Rachel R MizenkoDepartment of Biomedical Engineering University of California Davis California USA.
Bryan B NguyenDepartment of Biomedical Engineering University of California Davis California USA.
Kwan Lun ChiuDepartment of Biomedical Engineering University of California Davis California USA.
Vishalakshi ArunDepartment of Biomedical Engineering University of California Davis California USA.
Alyssa PanitchDepartment of Biomedical Engineering University of California Davis California USA.
Randy P CarneyDepartment of Biomedical Engineering University of California Davis California USA.ORCID https://orcid.org/0000-0001-8193-1664

Funding

Staff InvestigatorsP30CA093373 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI Gina M Dayton · 2002 to 2026
$84.9M
TRAINING IN COMPARATIVE LUNG BIOLOGY AND MEDICINET32HL007013 · NHLBI · UNIVERSITY OF CALIFORNIA DAVIS · PI Elena Goncharova, Nicholas J. KENYON · 1985 to 2026
$10.1M
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
Training Program in PharmacologyT32GM144303 · NIGMS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Donald M Bers, JOHANNES W HELL · 2022 to 2026
$2.1M
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
NCI NIH HHS P30 CA093373NCI NIH HHS R01 CA241666NHLBI NIH HHS T32 HL007013NIBIB NIH HHS R01 EB033389NIBIB NIH HHS R01 EB034279NIGMS NIH HHS T32 GM144303NINDS NIH HHS F31 NS120590
6 · The paper itself

Abstract

Since extracellular vesicles (EVs) have emerged as a promising drug delivery system, diverse methods have been used to load them with active pharmaceutical ingredients (API) in preclinical and clinical studies. However, there is yet to be an engineered EV formulation approved for human use, a barrier driven in part by the intrinsic heterogeneity of EVs. API loading is rarely assessed in the context of single vesicle measurements of physicochemical properties but is likely administered in a heterogeneous fashion to the detriment of a consistent product. Here, we applied a suite of single-particle resolution methods to determine the loading of rhodamine 6G (R6G) surrogate cargo mimicking hydrophilic small molecule drugs across four common API loading methods: sonication, electroporation, freeze-thaw cycling and passive incubation. Loading efficiencies and alterations in the physical properties of EVs were assessed, as well as co-localization with common EV-associated tetraspanins (i.e., CD63, CD81 and CD9) for insight into EV subpopulations. Sonication had the highest loading efficiency, yet significantly decreased particle yield, while electroporation led to the greatest number of loaded API particles, albeit at a lower efficiency. Moreover, results were often inconsistent between repeated runs within a given method, demonstrating the difficulty in developing a rigorous loading method that consistently loaded EVs across their heterogeneous subpopulations. This work highlights the significance of how chosen quantification metrics can impact apparent conclusions and the importance of single-particle characterization of EV loading.

Indexed as

bioengineeringdrug deliveryexosomestherapeutics

Identifiers

PMID39185333
PMCPMC11342351

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.