Evidence map›Paper›PMID 36270018›Full record

ReviewACS applied materials & interfaces2023

TEGylated Double-Walled Carbon Nanotubes as Platforms to Engineer Neuronal Networks.

Myriam Barrejón, Francesca Zummo, Anastasiia Mikhalchan, Juan J Vilatela, Mario Fontanini, Denis Scaini, Laura Ballerini, Maurizio Prato

Abstract readReview
In one paragraph

Review in ACS applied materials & interfaces, 2023. 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. Article
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

8 authors.

Myriam BarrejónDepartment of Chemical and Pharmaceutical Sciences, INSTM, UdR Trieste, University of Trieste, Via L. Giorgieri 1, Trieste34127, Italy.
Francesca ZummoInternational School for Advanced Studies (SISSA/ISAS), Trieste34136, Italy.
Anastasiia MikhalchanIMDEA Materials, Eric Kandel 2, Getafe, Madrid28906, Spain.ORCID 0000-0001-6263-8470
Juan J VilatelaIMDEA Materials, Eric Kandel 2, Getafe, Madrid28906, Spain.ORCID 0000-0002-2572-0245
Mario FontaniniInternational School for Advanced Studies (SISSA/ISAS), Trieste34136, Italy.ORCID 0000-0001-7152-6243
Denis ScainiInternational School for Advanced Studies (SISSA/ISAS), Trieste34136, Italy.ORCID 0000-0001-8398-8074
Laura BalleriniInternational School for Advanced Studies (SISSA/ISAS), Trieste34136, Italy.ORCID 0000-0001-8420-0787
Maurizio PratoDepartment of Chemical and Pharmaceutical Sciences, INSTM, UdR Trieste, University of Trieste, Via L. Giorgieri 1, Trieste34127, Italy.ORCID 0000-0002-8869-8612

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the past two decades, important results have been obtained on the application of carbon nanotubes (CNTs) as components of smart interfaces promoting neuronal growth and differentiation. Different forms of CNTs have been employed as scaffolds, including raw CNTs and functionalized CNTs, characterized by a different number of walls, mainly single-walled CNTs (SWCNTs) or multiwalled CNTs (MWCNTs). However, double-walled carbon nanotubes (DWCNTs), which present interesting electronic and transport properties, have barely been studied in the field. Apart from the electrical conductivity, the morphology, shape, porosity, and corresponding mechanical properties of the scaffold material are important parameters when dealing with neuronal cells. Thus, the presence of open porous and interconnected networks is essential for cell growth and differentiation. Here, we present an easy methodology to prepare porous self-standing and electrically conductive DWCNT-based scaffolds and study the growth of neuro/glial networks and their synaptic activity. A cross-linking approach with triethylene glycol (TEG) derivatives is applied to improve the tensile performance of the scaffolds while neuronal growth and differentiation are promoted. By testing different DWCNT-based constructs, we confirm that the manufactured structures guarantee a biocompatible scaffold, while favoring the design of artificial networks with high complexity.

Indexed as

Nanotubes, CarbonCell DifferentiationNeuronsPorosityNanotubes, Carboncross-linkingdouble-walled carbon nanotubeselectronic propertiesmechanical propertiesneuronal activityneuronal growthpolymer-free 3D scaffolds

Identifiers

PMID36270018
PMCPMC9837783

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Registered trials

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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.