Evidence map›Paper›PMID 32081937›Full record

ArticleScientific reports2020

In-vivo vascular application via ultra-fast bioprinting for future 5D personalised nanomedicine.

Ruben Foresti, Stefano Rossi, Silvana Pinelli, Rossella Alinovi, Corrado Sciancalepore, Nicola Delmonte, Stefano Selleri, Cristina Caffarra, Edoardo Raposio, Guido Macaluso and 4 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.0field-weighted citation impact, top 8% 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.

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

24 citing papers in PubMed, 61 citations in OpenAlex.

  1. Article
  2. Engineering in vitro vascular microsystems.Microsystems & nanoengineering · 2025
    Review
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  11. Polysaccharide-based biomaterials in a journey from 3D to 4D printing.Bioengineering & translational medicine · 2023
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 1 institution in 1 country.

Ruben ForestiDepartment of Medicine and Surgery, University of Parma, via Gramsci 14, 43126, Parma, IT, Italy. ruben.foresti@unipr.it.ORCID http://orcid.org/0000-0002-1060-978X
Stefano RossiDepartment of Medicine and Surgery, University of Parma, via Gramsci 14, 43126, Parma, IT, Italy.ORCID http://orcid.org/0000-0003-0346-8410
Silvana PinelliDepartment of Medicine and Surgery, University of Parma, via Gramsci 14, 43126, Parma, IT, Italy.
Rossella AlinoviDepartment of Medicine and Surgery, University of Parma, via Gramsci 14, 43126, Parma, IT, Italy.
Corrado SciancaleporeDepartment of Engineering and Architecture, University of Parma, Parco Area delle Scienze, 43124, Parma, IT, Italy.
Nicola DelmonteDepartment of Engineering and Architecture, University of Parma, Parco Area delle Scienze, 43124, Parma, IT, Italy.
Stefano SelleriDepartment of Engineering and Architecture, University of Parma, Parco Area delle Scienze, 43124, Parma, IT, Italy.ORCID http://orcid.org/0000-0001-8026-0846
Cristina CaffarraDepartment of Medicine and Surgery, University of Parma, via Gramsci 14, 43126, Parma, IT, Italy.
Edoardo RaposioDepartment of Medicine and Surgery, University of Parma, via Gramsci 14, 43126, Parma, IT, Italy.
Guido MacalusoDepartment of Medicine and Surgery, University of Parma, via Gramsci 14, 43126, Parma, IT, Italy.ORCID http://orcid.org/0000-0003-2203-3092
Claudio MacalusoDepartment of Medicine and Surgery, University of Parma, via Gramsci 14, 43126, Parma, IT, Italy.
Antonio FreyrieDepartment of Medicine and Surgery, University of Parma, via Gramsci 14, 43126, Parma, IT, Italy.
Michele MiragoliDepartment of Medicine and Surgery, University of Parma, via Gramsci 14, 43126, Parma, IT, Italy.ORCID http://orcid.org/0000-0002-4058-4368
Paolo PeriniDepartment of Medicine and Surgery, University of Parma, via Gramsci 14, 43126, Parma, IT, Italy.
University of Parma · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The design of 3D complex structures enables new correlation studies between the engineering parameters and the biological activity. Moreover, additive manufacturing technology could revolutionise the personalised medical pre-operative management due to its possibility to interplay with computer tomography. Here we present a method based on rapid freeze prototyping (RFP) 3D printer, reconstruction cutting, nano dry formulation, fast freeze gelation, disinfection and partial processes for the 5D digital models functionalisation. We elaborated the high-resolution computer tomography scan derived from a complex human peripheral artery and we reconstructed the 3D model of the vessel in order to obtain and verify the additive manufacturing processes. Then, based on the drug-eluting balloon selected for the percutaneous intervention, we reconstructed the biocompatible eluting-freeform coating containing 40 nm fluorescent nanoparticles (NPs) by means of RFP printer and we tested the in-vivo feasibility. We introduced the NPs-loaded 5D device in a rat's vena cava. The coating dissolved in a few minutes releasing NPs which were rapidly absorbed in vascular smooth muscle cell (VSMC) and human umbilical vein endothelial cell (HUVEC) in-vitro. We developed 5D high-resolution self-dissolving devices incorporating NPs with the perspective to apply this method to the personalised medicine.

Indexed as

Printing, Three-DimensionalAngioplasty, BalloonAnimalsArteriesBioprintingCell SurvivalDrug-Eluting StentsHumansHuman Umbilical Vein Endothelial CellsImage Processing, Computer-AssistedMiceMuscle, Smooth, VascularNanomedicineNanoparticlesPercutaneous Coronary InterventionPorosity

Identifiers

PMID32081937
PMCPMC7035336
OpenAlexW3008801356

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.