Evidence map›Paper›PMID 38822532›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024

Addressing Heterogeneity in Direct Analysis of Extracellular Vesicles and Their Analogs by Membrane Sensing Peptides as Pan-Vesicular Affinity Probes.

Alessandro Gori, Roberto Frigerio, Paola Gagni, Jacopo Burrello, Stefano Panella, Andrea Raimondi, Greta Bergamaschi, Giulia Lodigiani, Miriam Romano, Andrea Zendrini and 3 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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

13 authors.

Alessandro GoriConsiglio Nazionale delle Ricerche, Istituto di Scienze e Tecnologie Chimiche "Giulio Natta" (SCITEC), Milano, 20131, Italy.
Roberto FrigerioConsiglio Nazionale delle Ricerche, Istituto di Scienze e Tecnologie Chimiche "Giulio Natta" (SCITEC), Milano, 20131, Italy.
Paola GagniConsiglio Nazionale delle Ricerche, Istituto di Scienze e Tecnologie Chimiche "Giulio Natta" (SCITEC), Milano, 20131, Italy.
Jacopo BurrelloCardiovascular Theranostics, Istituto Cardiocentro Ticino, Ente Ospedaliero Cantonale, Via Tesserete 48, Bellinzona, CH-6500, Switzerland.
Stefano PanellaCardiovascular Theranostics, Istituto Cardiocentro Ticino, Ente Ospedaliero Cantonale, Via Tesserete 48, Bellinzona, CH-6500, Switzerland.
Andrea RaimondiInstitute for Research in Biomedicine, Faculty of Biomedical Sciences, Università della Svizzera italiana (USI), Bellinzona, CH-6500, Switzerland.
Greta BergamaschiConsiglio Nazionale delle Ricerche, Istituto di Scienze e Tecnologie Chimiche "Giulio Natta" (SCITEC), Milano, 20131, Italy.
Giulia LodigianiConsiglio Nazionale delle Ricerche, Istituto di Scienze e Tecnologie Chimiche "Giulio Natta" (SCITEC), Milano, 20131, Italy.
Miriam RomanoDepartment of Molecular and Translational Medicine, University of Brescia, Viale Europa 11, Brescia, 25123, Italy.
Andrea ZendriniDepartment of Molecular and Translational Medicine, University of Brescia, Viale Europa 11, Brescia, 25123, Italy.
Annalisa RadeghieriDepartment of Molecular and Translational Medicine, University of Brescia, Viale Europa 11, Brescia, 25123, Italy.
Lucio BarileCardiovascular Theranostics, Istituto Cardiocentro Ticino, Ente Ospedaliero Cantonale, Via Tesserete 48, Bellinzona, CH-6500, Switzerland.
Marina CretichConsiglio Nazionale delle Ricerche, Istituto di Scienze e Tecnologie Chimiche "Giulio Natta" (SCITEC), Milano, 20131, Italy.ORCID 0000-0001-8251-5275

Funding

HORIZON 2020, European Innovation Council MARVEL(951768)HORIZON 2020, European Innovation Council ProjectMinistero dell'Istruzione, dell'Università e della Ricerca, Next Generation EU 2022BLLAEXMinistero dell'Istruzione, dell'Università e della Ricerca, Next Generation EU 2022CS9H53
6 · The paper itself

Abstract

Extracellular vesicles (EVs), crucial mediators of cell-to-cell communication, hold significant diagnostic potential due to their ability to concentrate protein biomarkers in bodily fluids. However, challenges in isolating EVs from biological specimens hinder their widespread use. The preferred strategy involves direct analysis, integrating isolation and analysis solutions, with immunoaffinity methods currently dominating. Yet, the heterogeneous nature of EVs poses challenges, as proposed markers may not be as universally present as thought, raising concerns about biomarker screening reliability. This issue extends to EV-mimics, where conventional methods may lack applicability. Addressing these challenges, the study reports on Membrane Sensing Peptides (MSP) as pan-vesicular affinity ligands for both EVs and their non-canonical analogs, streamlining capture and phenotyping through Single Molecule Array (SiMoA). MSP ligands enable direct analysis of circulating EVs, eliminating the need for prior isolation. Demonstrating clinical translation, MSP technology detects an EV-associated epitope signature in serum and plasma, distinguishing myocardial infarction from stable angina. Additionally, MSP allow analysis of tetraspanin-lacking Red Blood Cell-derived EVs, overcoming limitations associated with antibody-based methods. Overall, the work underlines the value of MSP as complementary tools to antibodies, advancing EV analysis for clinical diagnostics and beyond, and marking the first-ever peptide-based application in SiMoA technology.

Indexed as

BiomarkersExtracellular VesiclesPeptidesHumansBiomarkersPeptidescardiovascular diseasedigital detectionexosomesextracellular vesiclesisolationpeptidessingle molecule array

Identifiers

PMID38822532
PMCPMC11304302

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.