Evidence map›Paper›PMID 33448783›Full record

ArticleACS applied materials & interfaces2021

Tuning Cell Behavior on 3D Scaffolds Fabricated by Atmospheric Plasma-Assisted Additive Manufacturing.

Maria Cámara-Torres, Ravi Sinha, Paolo Scopece, Thomas Neubert, Kristina Lachmann, Alessandro Patelli, Carlos Mota, Lorenzo Moroni

Abstract read
In one paragraph

Article in ACS applied materials & interfaces, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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  14. [Research progress on the effect of surface charge of biomaterials on bone formation].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2021
    Article
  15. 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

8 authors.

Maria Cámara-TorresComplex Tissue Regeneration Department, MERLN Institute for Technology-Inspired Regenerative Medicine, Maastricht University, Universiteitssingel 40, 6229 ER Maastricht, The Netherlands.
Ravi SinhaComplex Tissue Regeneration Department, MERLN Institute for Technology-Inspired Regenerative Medicine, Maastricht University, Universiteitssingel 40, 6229 ER Maastricht, The Netherlands.
Paolo ScopeceNadir S.r.l., Via Torino, 155/b, 30172 Venice, Italy.ORCID http://orcid.org/0000-0003-1466-5823
Thomas NeubertFraunhofer Institute for Surface Engineering and Thin Films IST, Bienroder Weg 54E, 38108 Braunschweig, Germany.
Kristina LachmannFraunhofer Institute for Surface Engineering and Thin Films IST, Bienroder Weg 54E, 38108 Braunschweig, Germany.
Alessandro PatelliDepartment of Physics and Astronomy, Padova University, Via Marzolo, 8, 35131 Padova, Italy.ORCID http://orcid.org/0000-0001-7662-4352
Carlos MotaComplex Tissue Regeneration Department, MERLN Institute for Technology-Inspired Regenerative Medicine, Maastricht University, Universiteitssingel 40, 6229 ER Maastricht, The Netherlands.ORCID http://orcid.org/0000-0001-5935-6245
Lorenzo MoroniComplex Tissue Regeneration Department, MERLN Institute for Technology-Inspired Regenerative Medicine, Maastricht University, Universiteitssingel 40, 6229 ER Maastricht, The Netherlands.ORCID http://orcid.org/0000-0003-1298-6025

Funding

PREPARATION AND DISTRUBUTION OF ADULT STEM CELLS: HUMAN &RODENTP40RR017447 · NCRR · TULANE UNIVERSITY OF LOUISIANA · PI PROCKOP, DARWIN JOHNSON · 2003 to 2011
$8.9M
NCRR NIH HHS P40 RR017447
6 · The paper itself

Abstract

Three-dimensional (3D) scaffolds with optimum physicochemical properties are able to elicit specific cellular behaviors and guide tissue formation. However, cell-material interactions are limited in scaffolds fabricated by melt extrusion additive manufacturing (ME-AM) of synthetic polymers, and plasma treatment can be used to render the surface of the scaffolds more cell adhesive. In this study, a hybrid AM technology, which combines a ME-AM technique with an atmospheric pressure plasma jet, was employed to fabricate and plasma treat scaffolds in a single process. The organosilane monomer (3-aminopropyl)trimethoxysilane (APTMS) and a mixture of maleic anhydride and vinyltrimethoxysilane (MA-VTMOS) were used for the first time to plasma treat 3D scaffolds. APTMS treatment deposited plasma-polymerized films containing positively charged amine functional groups, while MA-VTMOS introduced negatively charged carboxyl groups on the 3D scaffolds' surface. Argon plasma activation was used as a control. All plasma treatments increased the surface wettability and protein adsorption to the surface of the scaffolds and improved cell distribution and proliferation. Notably, APTMS-treated scaffolds also allowed cell attachment by electrostatic interactions in the absence of serum. Interestingly, cell attachment and proliferation were not significantly affected by plasma treatment-induced aging. Also, while no significant differences were observed between plasma treatments in terms of gene expression, human mesenchymal stromal cells (hMSCs) could undergo osteogenic differentiation on aged scaffolds. This is probably because osteogenic differentiation is rather dependent on initial cell confluency and surface chemistry might play a secondary role.

Indexed as

Cell AdhesionCell LineCell ProliferationHumansMesenchymal Stem CellsOsteogenesisPlasma GasesSilanesTissue EngineeringTissue ScaffoldsVinyl CompoundsWettabilityPlasma GasesSilanestrimethoxyvinylsilaneVinyl Compounds3D scaffoldsatmospheric pressure plasma jetcell adhesionhuman mesenchymal stromal cellsmelt extrusion additive manufacturingosteogenesis.plasma functionalization

Identifiers

PMID33448783
PMCPMC7880529

What OpenQuestion holds

Textmetadata
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.