Evidence map›Paper›PMID 41502393›Full record

ArticleAnalytical chemistry2026

Orthogonal Investigation at Single-Particle and Ensemble Levels Uncovers Lipoprotein-Extracellular Vesicle Binding.

Angelo Musicò, Roberto Frigerio, Karl Normak, Sabrina Scolari, Alessandro Gori, Paolo Arosio, Annalisa Radeghieri, Lucia Paolini, Miriam Romano, Irantzu Llarena and 3 more

Abstract read
In one paragraph

Article in Analytical chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. 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

13 authors.

Angelo MusicòDepartment of Molecular and Translational Medicine (DMMT), University of Brescia, 25123 Brescia, Italy.
Roberto FrigerioDepartment of Molecular and Translational Medicine (DMMT), University of Brescia, 25123 Brescia, Italy.
Karl NormakDepartment of Chemistry and Applied Biosciences, Institute for Chemical and Bioengineering, ETH Zürich, 8093 Zürich, Switzerland.ORCID 0000-0003-2351-8753
Sabrina ScolariDepartment of Molecular and Translational Medicine (DMMT), University of Brescia, 25123 Brescia, Italy.
Alessandro GoriIstituto di Scienze e Tecnologie Chimiche 'Giulio Natta''─National Research Council of Italy (SCITEC-CNR), 20131 Milan, Italy.ORCID 0000-0003-1640-7238
Paolo ArosioDepartment of Chemistry and Applied Biosciences, Institute for Chemical and Bioengineering, ETH Zürich, 8093 Zürich, Switzerland.
Annalisa RadeghieriDepartment of Molecular and Translational Medicine (DMMT), University of Brescia, 25123 Brescia, Italy.ORCID 0000-0003-2737-1090
Lucia PaoliniCenter for Colloid and Surface Science (CSGI), 50019 Sesto Fiorentino, Italy.ORCID 0000-0002-4410-5272
Miriam RomanoCenter for Colloid and Surface Science (CSGI), 50019 Sesto Fiorentino, Italy.
Irantzu LlarenaSoft Matter Nanotechnology, Center for Cooperative Research in Biomaterials (CIC biomaGUNE), Basque Research and Technology Alliance (BRTA), 20850 Donostia-San Sebastian, Spain.
Sergio E MoyaSoft Matter Nanotechnology, Center for Cooperative Research in Biomaterials (CIC biomaGUNE), Basque Research and Technology Alliance (BRTA), 20850 Donostia-San Sebastian, Spain.ORCID 0000-0002-7174-1960
Andrea ZendriniDepartment of Molecular and Translational Medicine (DMMT), University of Brescia, 25123 Brescia, Italy.ORCID 0000-0002-3626-0360
Paolo BergeseDepartment of Molecular and Translational Medicine (DMMT), University of Brescia, 25123 Brescia, Italy.ORCID 0000-0002-4652-2168

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mesoscale interactions critically shape the biological identity of extracellular nanoparticles, including extracellular vesicles. These interactions encompass biomolecular coronas, transient aggregation, and fusion events. Among them, the interaction between extracellular vesicles and lipoproteins has recently garnered significant attention due to their potential impact on functionality and in vivo fate of extracellular vesicles. In this work, we present a first investigation of the binding between human red blood cell-derived extracellular vesicles and lipoproteins across multiple scales, in both buffer and plasma. Red blood cell-derived extracellular vesicles were selected as a model system for their physicochemical homogeneity, potential in personalized medicine, and production scalability. To achieve this, we employed an ad hoc suite of orthogonal analytical techniques: fluorescence cross-correlation spectroscopy (FCCS), super-resolution microscopy, flow cytometry, and Single Molecule Array assays (Simoa). Our results reveal class-specific and context-dependent extracellular vesicle-lipoprotein associations. Notably, lipoproteins bind to extracellular vesicles with affinities ranging from 10 nM to 1 μM and with up to 100% extracellular vesicles interacting with high-density lipoproteins in the presence of plasma proteins. These findings uncover a complex and dynamic interactome of red blood cell-derived extracellular vesicles across lipoprotein classes. This work establishes a robust methodological framework for studying mesoscale interactions of extracellular nanoparticles under physiologically relevant conditions. Its versatility allows for its application to diverse interaction scenarios, supporting systematic investigation of context-dependent effects on EV-LP binding.

Indexed as

Extracellular VesiclesLipoproteinsErythrocytesFlow CytometryHumansProtein BindingSpectrometry, FluorescenceLipoproteins

Identifiers

PMID41502393
PMCPMC12824988

What Socratic 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 Socratic graph.