Evidence map›Paper›PMID 32280212›Full record

ArticleInternational journal of nanomedicine2020

The Implication of Spatial Statistics in Human Mesenchymal Stem Cell Response to Nanotubular Architectures.

Alexander J Steeves, William Ho, Maria Chiara Munisso, David J Lomboni, Enara Larrañaga, Sidney Omelon, Elena Martínez, Davide Spinello, Fabio Variola

Open access · goldAbstract read
In one paragraph

Article in International journal of nanomedicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 55% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

9 authors at 4 institutions in 3 countries.

Alexander J SteevesFaculty of Engineering, Department of Mechanical Engineering, University of Ottawa, Ottawa, ON, Canada.ORCID 0000-0001-7584-8071
William Ho *Faculty of Engineering, Department of Mechanical Engineering, University of Ottawa, Ottawa, ON, Canada.ORCID 0000-0001-6183-0970
Maria Chiara Munisso *Department of Plastic and Reconstructive Surgery, Kansai Medical University, Moriguchi, Japan.ORCID 0000-0003-1616-4934
David J LomboniFaculty of Engineering, Department of Mechanical Engineering, University of Ottawa, Ottawa, ON, Canada.ORCID 0000-0003-1484-5090
Enara LarrañagaInstitute for Bioengineering of Catalonia (IBEC), The Barcelona Institute of Science and Technology (BIST), Barcelona, Spain.ORCID 0000-0002-9082-3478
Sidney OmelonFaculty of Engineering, Department of Mechanical Engineering, University of Ottawa, Ottawa, ON, Canada.
Elena MartínezInstitute for Bioengineering of Catalonia (IBEC), The Barcelona Institute of Science and Technology (BIST), Barcelona, Spain.ORCID 0000-0002-6585-4213
Davide SpinelloFaculty of Engineering, Department of Mechanical Engineering, University of Ottawa, Ottawa, ON, Canada.ORCID 0000-0002-6063-4289
Fabio VariolaFaculty of Engineering, Department of Mechanical Engineering, University of Ottawa, Ottawa, ON, Canada.ORCID 0000-0002-5519-6915
University of Ottawa · CACentro de Investigación Biomédica en Red · ESInstitute for Bioengineering of Catalonia · ESKansai Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn recent years there has been ample interest in nanoscale modifications of synthetic biomaterials to understand fundamental aspects of cell-surface interactions towards improved biological outcomes. In this study, we aimed at closing in on the effects of nanotubular TiO

methodsTo bridge this gap, we implemented an extensive characterization of nanotubular surfaces generated by anodization of titanium with a focus on spatial structural variables including eccentricity, nearest neighbour distance (NND) and Voronoi entropy, and associated them to the hMSC response. In addition, we assessed the biological potential of a two-tiered honeycomb nanoarchitecture, which allowed the detection of combinatory effects that this hierarchical structure has on stem cells with respect to conventional nanotubular designs. We have combined experimental techniques, ranging from Scanning Electron (SEM) and Atomic Force (AFM) microscopy to Raman spectroscopy, with computational simulations to characterize and model nanotubular surfaces. We evaluated the cell response at 6 hrs, 1 and 2 days by fluorescence microscopy, as well as bone mineral deposition by Raman spectroscopy, demonstrating substrate-induced differential biological cueing at both the short- and long-term.

resultsOur work demonstrates that the nanotube diameter is not sufficient to comprehensively characterize nanotubular surfaces and equally important parameters, such as eccentricity and wall thickness, ought to be included since they all contribute to the overall spatial disorder which, in turn, dictates the overall bioactive potential. We have also demonstrated that nanotubular surfaces affect the quality of bone mineral deposited by differentiated stem cells. Lastly, we closed in on the integrated effects exerted by the superimposition of two dissimilar nanotubular arrays in the honeycomb architecture. DISCUSSION: This work delineates a novel approach for the characterization of TiO

Indexed as

Statistics as TopicCell DifferentiationCell LineCell ProliferationFocal AdhesionsHumansMesenchymal Stem CellsMineralsNanotubesSp7 Transcription FactorSurface PropertiesTitaniumMineralsSP7 protein, humanSp7 Transcription FactorTitaniumtitanium dioxidebone qualitynanotopographynanotubesspatial statisticsstem cells

Identifiers

PMID32280212
PMCPMC7125340
OpenAlexW3013415335

What OpenQuestion holds

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LicenceCC BY-NC
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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.