Evidence map›Paper›PMID 34165820›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2021

Expanding Biomaterial Surface Topographical Design Space through Natural Surface Reproduction.

Steven Vermeulen, Floris Honig, Aliaksei Vasilevich, Nadia Roumans, Manuel Romero, Aysegul Dede Eren, Urnaa Tuvshindorj, Morgan Alexander, Aurélie Carlier, Paul Williams and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

16 citing papers in PubMed, 32 citations in OpenAlex.

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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

12 authors at 3 institutions in 2 countries.

Steven VermeulenMERLN Institute, Maastricht University, Maastricht, 6229 ER, The Netherlands.ORCID https://orcid.org/0000-0001-6797-7084
Floris HonigMERLN Institute, Maastricht University, Maastricht, 6229 ER, The Netherlands.
Aliaksei VasilevichDepartment of Biomedical Engineering and Institute for Complex Molecular Systems, Eindhoven University of Technology, Eindhoven, 5600 MB, The Netherlands.
Nadia RoumansMERLN Institute, Maastricht University, Maastricht, 6229 ER, The Netherlands.
Manuel RomeroNational Biofilms Innovation Centre, Biodiscovery Institute and School of Life Sciences, University of Nottingham, Nottingham, NG7 2RD, UK.
Aysegul Dede ErenDepartment of Biomedical Engineering and Institute for Complex Molecular Systems, Eindhoven University of Technology, Eindhoven, 5600 MB, The Netherlands.ORCID https://orcid.org/0000-0001-8170-6133
Urnaa TuvshindorjMERLN Institute, Maastricht University, Maastricht, 6229 ER, The Netherlands.
Morgan AlexanderAdvanced Materials and Healthcare Technologies, The School of Pharmacy, University of Nottingham, Nottingham, NG7 2RD, UK.ORCID https://orcid.org/0000-0001-5182-493X
Aurélie CarlierMERLN Institute, Maastricht University, Maastricht, 6229 ER, The Netherlands.ORCID https://orcid.org/0000-0002-2305-5667
Paul WilliamsNational Biofilms Innovation Centre, Biodiscovery Institute and School of Life Sciences, University of Nottingham, Nottingham, NG7 2RD, UK.ORCID https://orcid.org/0000-0002-1920-5036
Jorge UquillasDepartment of Biomedical Engineering and Institute for Complex Molecular Systems, Eindhoven University of Technology, Eindhoven, 5600 MB, The Netherlands.
Jan de BoerDepartment of Biomedical Engineering and Institute for Complex Molecular Systems, Eindhoven University of Technology, Eindhoven, 5600 MB, The Netherlands.ORCID https://orcid.org/0000-0001-9188-9324
United Nations University – Maastricht Economic and Social Research Institute on Innovation and Technology · NLEindhoven University of Technology · NLUniversity of Nottingham · GB

Funding

Biotechnology and Biological Sciences Research Council BB/R012415/1Dutch province of Limburg LINK Economy Project FCL67723Dutch Science Foundation : VENI grant No. 15075Engineering and Physical Sciences Research Council EP/N0016615/1European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie 676338
6 · The paper itself

Abstract

Surface topography is a tool to endow biomaterials with bioactive properties. However, the large number of possible designs makes it challenging to find the optimal surface structure to induce a specific cell response. The TopoChip platform is currently the largest collection of topographies with 2176 in silico designed microtopographies. Still, it is exploring only a small part of the design space due to design algorithm limitations and the surface engineering strategy. Inspired by the diversity of natural surfaces, it is assessed as to what extent the topographical design space and consequently the resulting cellular responses can be expanded using natural surfaces. To this end, 26 plant and insect surfaces are replicated in polystyrene and their surface properties are quantified using white light interferometry. Through machine-learning algorithms, it is demonstrated that natural surfaces extend the design space of the TopoChip, which coincides with distinct morphological and focal adhesion profiles in mesenchymal stem cells (MSCs) and Pseudomonas aeruginosa colonization. Furthermore, differentiation experiments reveal the strong potential of the holy lotus to improve osteogenesis in MSCs. In the future, the design algorithms will be trained with the results obtained by natural surface imprint experiments to explore the bioactive properties of novel surface topographies.

Indexed as

Biocompatible MaterialsMesenchymal Stem CellsPseudomonas aeruginosaSurface PropertiesAnimalsCell AdhesionCell DifferentiationHumansMachine LearningOsteogenesisPolystyrenesBiocompatible MaterialsPolystyrenesbacterial attachmentcell morphologydesign spacemicrotopographiesnatural surfacesTopoChip

Identifiers

PMID34165820
PMCPMC11468538
OpenAlexW3173963685

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.