Evidence map›Paper›PMID 28852131›Full record

ArticleScientific reports2017

Raman spectroscopy uncovers biochemical tissue-related features of extracellular vesicles from mesenchymal stromal cells.

Alice Gualerzi, Stefania Niada, Chiara Giannasi, Silvia Picciolini, Carlo Morasso, Renzo Vanna, Valeria Rossella, Massimo Masserini, Marzia Bedoni, Fabio Ciceri and 3 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04583306 (Characterization of the COVID-19 Raman Signature of Saliva as a Potential Tool for the Fast Discrimination of SARS-CoV-2 Infection and Severity), which is not on this map. Cited by 72 papers.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed
3.7field-weighted citation impact, top 6% of its field
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.

NCT04583306 unknown statusnot on this mapstarted 2020, after this paper: background citation

Characterization of the COVID-19 Raman Signature of Saliva as a Potential Tool for the Fast Discrimination of SARS-CoV-2 Infection and Severity

Typeobservational_patient_registrySponsorFondazione Don Carlo Gnocchi ETSRan2020 to 2022Enrolled120ConditionsCovid19ArmsRaman analysis of saliva, characterization of the Raman database and building of the classification model
3 · Its place in the literature

Who cites it

72 citing papers in PubMed, 109 citations in OpenAlex.

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  16. Advances in the Study of Extracellular Vesicles for Bone Regeneration.International journal of molecular sciences · 2024
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12 more citing papers are in PubMed but not listed here.

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 at 4 institutions in 1 country.

Alice GualerziLaboratory of Nanomedicine and Clinical Biophotonics, IRCCS Fondazione Don Carlo Gnocchi ONLUS, Milano, Italy. agualerzi@dongnocchi.it.ORCID 0000-0003-2996-5714
Stefania NiadaDipartimento di Scienze Biomediche, Chirurgiche ed Odontoiatriche, Università degli Studi di Milano, Milano, Italy.
Chiara GiannasiDipartimento di Scienze Biomediche, Chirurgiche ed Odontoiatriche, Università degli Studi di Milano, Milano, Italy.
Silvia PiccioliniLaboratory of Nanomedicine and Clinical Biophotonics, IRCCS Fondazione Don Carlo Gnocchi ONLUS, Milano, Italy.
Carlo MorassoLaboratory of Nanomedicine and Clinical Biophotonics, IRCCS Fondazione Don Carlo Gnocchi ONLUS, Milano, Italy.ORCID 0000-0001-9185-0198
Renzo VannaLaboratory of Nanomedicine and Clinical Biophotonics, IRCCS Fondazione Don Carlo Gnocchi ONLUS, Milano, Italy.
Valeria RossellaSan Raffaele Telethon Institute for Gene Therapy (SR-TIGET), Pediatric Immunohematology, San Raffaele Scientific Institute, Milano, Italy.
Massimo MasseriniNanomedicine Center NANOMIB, School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy.
Marzia BedoniLaboratory of Nanomedicine and Clinical Biophotonics, IRCCS Fondazione Don Carlo Gnocchi ONLUS, Milano, Italy.
Fabio CiceriHematology and Bone Marrow Transplantation Unit, San Raffaele Scientific Institute, Milano, Italy.
Maria Ester BernardoSan Raffaele Telethon Institute for Gene Therapy (SR-TIGET), Pediatric Immunohematology, San Raffaele Scientific Institute, Milano, Italy.
Anna Teresa BriniDipartimento di Scienze Biomediche, Chirurgiche ed Odontoiatriche, Università degli Studi di Milano, Milano, Italy.
Furio GramaticaLaboratory of Nanomedicine and Clinical Biophotonics, IRCCS Fondazione Don Carlo Gnocchi ONLUS, Milano, Italy.
Don Carlo Gnocchi Foundation · ITUniversity of Milan · ITThe San Raffaele Telethon Institute for Gene Therapy · ITUniversity of Milano-Bicocca · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extracellular vesicles (EVs) from mesenchymal stromal cells (MSC) are emerging as valuable therapeutic agents for tissue regeneration and immunomodulation, but their clinical applications have so far been limited by the technical restraints of current isolation and characterisation procedures. This study shows for the first time the successful application of Raman spectroscopy as label-free, sensitive and reproducible means of carrying out the routine bulk characterisation of MSC-derived vesicles before their use in vitro or in vivo, thus promoting the translation of EV research to clinical practice. The Raman spectra of the EVs of bone marrow and adipose tissue-derived MSCs were compared with human dermal fibroblast EVs in order to demonstrate the ability of the method to distinguish the vesicles of the three cytotypes automatically with an accuracy of 93.7%. Our data attribute a Raman fingerprint to EVs from undifferentiated and differentiated cells of diverse tissue origin, and provide insights into the biochemical characteristics of EVs from different sources and into the differential contribution of sphingomyelin, gangliosides and phosphatidilcholine to the Raman spectra themselves.

Indexed as

Spectrum Analysis, RamanBiomarkersExtracellular VesiclesHumansMesenchymal Stem CellsTetraspanin 29Tetraspanin 30BiomarkersTetraspanin 29Tetraspanin 30

Identifiers

PMID28852131
PMCPMC5575260
OpenAlexW2746273252

What OpenQuestion holds

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Registered trials

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.