Evidence map›Paper›PMID 40636882›Full record

ArticleACS applied nano materials2025

Rational Design of EV-Mimicking Nanoparticles with Polarity-Based Recognition Potential for Advanced Nanocarrier Development.

Giada Rosso, Stijn M A Van Veen, María Sancho-Albero, Giulia Tamboia, Charly Empereur-Mot, Claudio Perego, Marije E Kuipers, Bianca Dumontel, Alessandro Ajó, Esther N Nolte-'t Hoen and 4 more

Abstract read
In one paragraph

Article in ACS applied nano 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. Article
  2. Review
  3. Review
  4. Review
  5. Review
  6. 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.

Giada RossoDepartment of Applied Science and Technology, Politecnico di Torino, Turin 10129, Italy.ORCID https://orcid.org/0000-0001-9334-2496
Stijn M A Van VeenInstitute of Complex Molecular Systems, Technische Universiteit Eindhoven, Eindhoven 5600 MB, Netherlands.ORCID https://orcid.org/0000-0003-4410-1017
María Sancho-AlberoDepartment of Biochemistry and Molecular Pharmacology, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan 20157, Italy.ORCID https://orcid.org/0000-0001-8762-5457
Giulia TamboiaDepartment of Biochemistry and Molecular Pharmacology, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan 20157, Italy.ORCID https://orcid.org/0009-0006-5676-6314
Charly Empereur-MotDepartment of Innovative Technologies, University of Applied Science and Arts of Southern Switzerland, Lugano 6962, Switzerland.
Claudio PeregoDepartment of Innovative Technologies, University of Applied Science and Arts of Southern Switzerland, Lugano 6962, Switzerland.ORCID https://orcid.org/0000-0001-8885-3080
Marije E KuipersDepartment of Biomolecular Health Sciences, Utrecht University, Utrecht 3584 CH, Netherlands.ORCID https://orcid.org/0000-0001-7012-3004
Bianca DumontelDepartment of Applied Science and Technology, Politecnico di Torino, Turin 10129, Italy.ORCID https://orcid.org/0000-0002-3902-4726
Alessandro AjóDepartment of Biochemistry and Molecular Pharmacology, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan 20157, Italy.ORCID https://orcid.org/0000-0003-4049-3818
Esther N Nolte-'t HoenDepartment of Biomolecular Health Sciences, Utrecht University, Utrecht 3584 CH, Netherlands.
Giovanni M PavanDepartment of Applied Science and Technology, Politecnico di Torino, Turin 10129, Italy.ORCID https://orcid.org/0000-0002-3473-8471
Luisa De ColaDepartment of Biochemistry and Molecular Pharmacology, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan 20157, Italy.ORCID https://orcid.org/0000-0002-2152-6517
Lorenzo AlbertazziInstitute of Complex Molecular Systems, Technische Universiteit Eindhoven, Eindhoven 5600 MB, Netherlands.ORCID https://orcid.org/0000-0002-6837-0812
Valentina CaudaDepartment of Applied Science and Technology, Politecnico di Torino, Turin 10129, Italy.ORCID https://orcid.org/0000-0003-2382-1533

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extracellular vesicles (EVs) are natural carriers that are essential for intracellular communication, delivering biomolecules with high efficiency and selectivity. Their application in a clinical setting has been limited, however, due to their complexity and heterogeneity, which hamper standardization in isolation procedures. A solution could be to engineer synthetic nanoparticles that are able to mimic the natural EV structure and function, which would lead to innovative therapeutic nanoplatforms with key advantages over traditional synthetic nanoparticles in terms of toxicity and efficacy. Here, we report an approach to designing, synthesizing, and characterizing lipid-coated nanoparticles engineered to replicate key biophysical surface properties of EVs relevant to cellular recognition and biointerface interactions. Three different lipidic mixtures were designed based on lipidomic data of prostate cancer-derived EVs, taking into consideration the mass percentage of both the lipid families and the fatty acids. Furthermore, breakable organosilica nanocapsules were employed as a functional core and coated with the lipidic mixtures to form eventual EV-mimicking nanocarriers (EV Mimics). Computational modeling of the lipid bilayer was employed to further optimize the lipid coverage of the organosilica nanocapsules. In addition to conventional characterization techniques, which assessed the matching of size and surface charge of EV Mimics and natural EVs, we used advanced single-particle characterization techniques, such as high-resolution flow cytometry and super-resolution microscopy, to assess coating efficacy, size distribution, and lipid polaritya key parameter in cellular uptake and membrane interaction of EV Mimics. This multidisciplinary approach led to the discovery of a formulation (called "CE Mimic 3", composed of Chol/SM/PE/PC/PS with respective mass ratios of 30/16.1/12.9/20.9/20.1) that closely reproduces the size, charge, lipid coating, and polarity of natural EVs, thus laying the groundwork for the development of EV-mimetic nanoplatforms for biomedical applications such as targeted delivery or biosensing.

Indexed as

artificialbiomimeticextracellular vesicleslipid nanoparticlesnanomedicinesuper-resolutionimaging

Identifiers

PMID40636882
PMCPMC12235584

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.