ArticleInternational journal of molecular sciences2021
Establishment of a New Device for Electrical Stimulation of Non-Degenerative Cartilage Cells In Vitro.
Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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
9 citing papers in PubMed, 18 citations in OpenAlex.
- In vitro electrical stimulation devices: practical framework for design, fabrication, and operation.Journal of biological engineering · 2026Article
- Direct Scaffold-Coupled Electrical Stimulation of Chondrogenic Progenitor Cells through Graphene Foam Bioscaffolds to Control the Mechanical Properties of Graphene Foam-Cell Composites.ACS applied materials & interfaces · 2025Article
- Experimental investigation on the reverse mechano-electrical effect of porcine articular cartilage.Frontiers in bioengineering and biotechnology · 2025Article
- Review on modeling theories of electrosensitive hydrogels for cartilage tissue engineering.Frontiers in bioengineering and biotechnology · 2025Review
- Electrical stimulation for cartilage tissue engineering - A critical review from an engineer's perspective.Heliyon · 2024Review
- Electrical Stimulation in Cartilage Tissue Engineering.Bioengineering (Basel, Switzerland) · 2023Review
- Membrane Remodeling of Human-Engineered Cardiac Tissue by Chronic Electric Stimulation.ACS biomaterials science & engineering · 2023Article
- Effects of Electrical Stimulation on Articular Cartilage Regeneration with a Focus on Piezoelectric Biomaterials for Articular Cartilage Tissue Repair and Engineering.International journal of molecular sciences · 2023Review
- Contributions of deep learning to automated numerical modelling of the interaction of electric fields and cartilage tissue based on 3D images.Frontiers in bioengineering and biotechnology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
In cell-based therapies for cartilage lesions, the main problem is still the formation of fibrous cartilage, caused by underlying de-differentiation processes ex vivo. Biophysical stimulation is a promising approach to optimize cell-based procedures and to adapt them more closely to physiological conditions. The occurrence of mechano-electrical transduction phenomena within cartilage tissue is physiological and based on streaming and diffusion potentials. The application of exogenous electric fields can be used to mimic endogenous fields and, thus, support the differentiation of chondrocytes in vitro. For this purpose, we have developed a new device for electrical stimulation of chondrocytes, which operates on the basis of capacitive coupling of alternating electric fields. The reusable and sterilizable stimulation device allows the simultaneous use of 12 cavities with independently applicable fields using only one main supply. The first parameter settings for the stimulation of human non-degenerative chondrocytes, seeded on collagen type I elastin-based scaffolds, were derived from numerical electric field simulations. Our first results suggest that applied alternating electric fields induce chondrogenic re-differentiation at the gene and especially at the protein level of human de-differentiated chondrocytes in a frequency-dependent manner. In future studies, further parameter optimizations will be performed to improve the differentiation capacity of human cartilage cells.
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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.