Evidence map›Paper›PMID 40069225›Full record

ArticleScientific reports2025

A synthetic model of bioinspired liposomes to study cancer-cell derived extracellular vesicles and their uptake by recipient cells.

Rubén R López, Chaymaa Zouggari Ben El Khyat, Yunxi Chen, Thupten Tsering, Kyle Dickinson, Prisca Bustamante, Armen Erzingatzian, Alexandra Bartolomucci, Sarah Tadhg Ferrier, Noélie Douanne and 4 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
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

14 authors.

Rubén R LópezCancer Research Program, Research Institute of the McGill University Health Centre, 1001 Decarie Blvd, Montreal, QC, H4A 3J1, Canada.
Chaymaa Zouggari Ben El KhyatDepartment of Electrical Engineering, École de Technologie supérieure, 1100 Notre Dame West, Montreal, QC, H3C 1K3, Canada.
Yunxi ChenCancer Research Program, Research Institute of the McGill University Health Centre, 1001 Decarie Blvd, Montreal, QC, H4A 3J1, Canada.
Thupten TseringCancer Research Program, Research Institute of the McGill University Health Centre, 1001 Decarie Blvd, Montreal, QC, H4A 3J1, Canada.
Kyle DickinsonCancer Research Program, Research Institute of the McGill University Health Centre, 1001 Decarie Blvd, Montreal, QC, H4A 3J1, Canada.
Prisca BustamanteCancer Research Program, Research Institute of the McGill University Health Centre, 1001 Decarie Blvd, Montreal, QC, H4A 3J1, Canada.
Armen ErzingatzianCancer Research Program, Research Institute of the McGill University Health Centre, 1001 Decarie Blvd, Montreal, QC, H4A 3J1, Canada.
Alexandra BartolomucciCancer Research Program, Research Institute of the McGill University Health Centre, 1001 Decarie Blvd, Montreal, QC, H4A 3J1, Canada.
Sarah Tadhg FerrierCancer Research Program, Research Institute of the McGill University Health Centre, 1001 Decarie Blvd, Montreal, QC, H4A 3J1, Canada.
Noélie DouanneCancer Research Program, Research Institute of the McGill University Health Centre, 1001 Decarie Blvd, Montreal, QC, H4A 3J1, Canada.
Catherine MounierDepartment of biological sciences, Université du Québec à Montréal, 141 avenue du président Kennedy, Montreal, QC, H2X 1Y4, Canada.
Ion StiharuGerald Bronfman Department of Oncology, McGill University, 5100 de Maisonneuve Blvd. West, Montreal, QC, H4A 3T2, Canada.
Vahé NerguizianDepartment of Electrical Engineering, École de Technologie supérieure, 1100 Notre Dame West, Montreal, QC, H3C 1K3, Canada.
Julia V BurnierCancer Research Program, Research Institute of the McGill University Health Centre, 1001 Decarie Blvd, Montreal, QC, H4A 3J1, Canada. julia.burnier@mcgill.ca.

Funding

Canadian Institutes for Health Research 190179Fonds de Recherche du Québec - Santé 312831, 344929, 306252, 330312, 330509Government of Canada's New Frontiers in Research Fund (NFRF) NFRFE-2019-01587National Sciences and Engineering Research Council of Canada (NSERC) 177808
6 · The paper itself

Abstract

Extracellular vesicles (EVs) are secreted by most cell types and play a central role in cell-cell communication. These naturally occurring nanoparticles have been particularly implicated in cancer, but EV heterogeneity and lengthy isolation methods with low yield make them difficult to study. To circumvent the challenges in EV research, we aimed to develop a unique synthetic model by engineering bioinspired liposomes to study EV properties and their impact on cellular uptake. We produced EV-like liposomes mimicking the physicochemical properties as cancer EVs. First, using a panel of cancer and non-cancer cell lines, small EVs were isolated by ultracentrifugation and characterized by dynamic light scattering (DLS) and nanoparticle tracking analysis (NTA). Cancer EVs ranged in mean size from 107.9 to 161 nm by NTA, hydrodynamic diameter from 152 to 355 nm by DLS, with a zeta potential ranging from - 25 to -6 mV. EV markers TSG101 and CD81 were positive on all EVs. Using a microfluidics bottom-up approach, liposomes were produced using the nanoprecipitation method adapted to micromixers developed by our group. A library of liposome formulations was created that mimicked the ranges of size (90-222 nm) and zeta potential (anionic [-47 mV] to neutral [-1 mV]) at a production throughput of up to 41 mL/h and yielding a concentration of 1 × 10

Indexed as

Extracellular VesiclesLiposomesNeoplasmsCell Line, TumorHumansNanoparticlesParticle SizeLiposomesBiomimeticsCancer EVsCancer modelsCell-cell communicationCellular uptakeExtracellular vesiclesLiposomesNanoparticles

Identifiers

PMID40069225
PMCPMC11897354

What Socratic 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 Socratic graph.