ArticlePloS one2014
Collagen self-assembly on orthopedic magnesium biomaterials surface and subsequent bone cell attachment.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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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.
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.
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Who cites it
14 citing papers in PubMed, 48 citations in OpenAlex.
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- Improving Biocompatibility for Next Generation of Metallic Implants.Progress in materials science · 2023Article
- Progress in bioactive surface coatings on biodegradable Mg alloys: A critical review towards clinical translation.Bioactive materials · 2023Review
- Surface Heparinization of a Magnesium-Based Alloy: A Comparison Study of Aminopropyltriethoxysilane (APTES) and Polyamidoamine (PAMAM) Dendrimers.Journal of functional biomaterials · 2022Article
- Salt Preform Texturing of Absorbable Zn Substrates for Bone-implant Applications.JOM (Warrendale, Pa. : 1989) · 2020Article
- Mg-Phenolic Network Strategy for Enhancing Corrosion Resistance and Osteocompatibility of Degradable Magnesium Alloys.ACS omega · 2019Article
- Enhanced cytocompatibility and antibacterial property of zinc phosphate coating on biodegradable zinc materials.Acta biomaterialia · 2019Article
- Magnesium Regulates Endothelial Barrier Functions through TRPM7, MagT1, and S1P1.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2019Article
- Interfacial Zinc Phosphate is the Key to Controlling Biocompatibility of Metallic Zinc Implants.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2019Article
- The Effect of Surface Treatments on the Degradation of Biomedical Mg Alloys-A Review Paper.Materials (Basel, Switzerland) · 2018Review
- Numerical Modelling of Effects of Biphasic Layers of Corrosion Products to the Degradation of Magnesium Metal In Vitro.Materials (Basel, Switzerland) · 2017Article
- Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Magnesium (Mg) biomaterials are a new generation of biodegradable materials and have promising potential for orthopedic applications. After implantation in bone tissues, these materials will directly interact with extracellular matrix (ECM) biomolecules and bone cells. Type I collagen, the major component of bone ECM, forms the architecture scaffold that provides physical support for bone cell attachment. However, it is still unknown how Mg substrate affects collagen assembly on top of it as well as subsequent cell attachment and growth. Here, we studied the effects of collagen monomer concentration, pH, assembly time, and surface roughness of two Mg materials (pure Mg and AZ31) on collagen fibril formation. Results showed that formation of fibrils would not initiate until the monomer concentration reached a certain level depending on the type of Mg material. The thickness of collagen fibril increased with the increase of assembly time. The structures of collagen fibrils formed on semi-rough surfaces of Mg materials have a high similarity to that of native bone collagen. Next, cell attachment and growth after collagen assembly were examined. Materials with rough surface showed higher collagen adsorption but compromised bone cell attachment. Interestingly, surface roughness and collagen structure did not affect cell growth on AZ31 for up to a week. Findings from this work provide some insightful information on Mg-tissue interaction at the interface and guidance for future surface modifications of Mg biomaterials.
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Registered trials
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.