ArticleBiomaterials2018
Cellular toxicity of silicon carbide nanomaterials as a function of morphology.
Article in Biomaterials, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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.
Who cites it
11 citing papers in PubMed, 40 citations in OpenAlex.
- Recent Advances in the Synthesis, Optical Properties, and Applications of Fluorescent Silicon Carbide Quantum Dots.Small science · 2025Review
- Emerging Fluorescent Nanoparticles for Non-Invasive Bioimaging.Molecules (Basel, Switzerland) · 2024Review
- Antioxidant Status in Patients after Breast Mastopexy and Augmentation.Medicina (Kaunas, Lithuania) · 2024Article
- Synthetic recovery of impulse propagation in myocardial infarction via silicon carbide semiconductive nanowires.Nature communications · 2022Article
- Plant biomacromolecule delivery methods in the 21st century.Frontiers in genome editing · 2022Review
- Novel Coating to Minimize Corrosion of Glass-Ceramics for Dental Applications.Materials (Basel, Switzerland) · 2020Article
- Carbon Quantum Dots: In vitro and in vivo Studies on Biocompatibility and Biointeractions for Optical Imaging.International journal of nanomedicine · 2020Article
- Stem Cell Tracking with Nanoparticle-Based Ultrasound Contrast Agents.Methods in molecular biology (Clifton, N.J.) · 2020Article
- Increasing the Efficacy of Stem Cell Therapy via Triple-Function Inorganic Nanoparticles.ACS nano · 2019Article
- Silicon Carbide Nanoparticles as a Photoacoustic and Photoluminescent Dual-Imaging Contrast Agent for Long-Term Cell Tracking.Nanoscale advances · 2019Article
- Nanowire-Based Biosensors: From Growth to Applications.Micromachines · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 2 countries.
Funding
Abstract
Silicon carbide has been shown to be biocompatible and is used as a coating material for implanted medical devices to prevent biofilms. Silicon carbide nanomaterials are also promising in cell tracking due to their stable and strong luminescence, but more comprehensive studies of this material on the nanoscale are needed. Here, we studied the toxicity of silicon carbide nanomaterials on human mesenchymal stem cells in terms of metabolism, viability, adhesion, proliferation, migration, oxidative stress, and differentiation ability. We compared two different shapes and found that silicon carbide nanowires are toxic to human mesenchymal stem cells but not to cancer cell lines at the concentration of 0.1 mg/mL. Control silicon carbide nanoparticles were biocompatible to human mesenchymal stem cells at 0.1 mg/mL. We studied the potential mechanistic effect of silicon carbide nanowires on human mesenchymal stem cells' phenotype, cytokine secretion, and gene expression. These findings suggest that the toxic effect of silicon carbide nanomaterials to human mesenchymal stem cells are dependent on morphology.
Indexed as
Identifiers
What OpenQuestion holds
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.