Investigation and optimization the effect of electrical stimulation parameters on the differentiation of human adipose mesenchymal stem cells into neurons-like cells on carbon nanofibers Article Swipe
Houra Nekounam
,
Hossein Golmohammadi
,
Seyed Mohammad Amini
,
Mohammad Ali Shokrgozar
,
Reza Faridi-Majid
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1101/2024.05.08.593090
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1101/2024.05.08.593090
Background Neurodegenerative diseases are among the most challenging diseases because neuron cells are not able to regenerate spontaneously. Tissue engineering is one of the most promising stem cell-based therapies. Controlling stem cell differentiation is a very crucial aspect of tissue engineering. Methods In this study, carbon nanofibers with an average diameter of 181±45 nm were prepared as a conductive scaffold based on the electrospinning method and subsequent thermal processing. Scaffold structure characterization were performed with XRD, Raman and Electrical conductivity tests. A homemade device was prepared to transmit electrical current to cells seeded on the scaffold in a culture plate. Various current parameters such as current intensity, frequency, waveform, daily shock duration, and shock period on adipose mesenchymal stem cells were examined for differentiation into neuronal cells. SPSS software and the one-way analysis of variance (ANOVA) was used as statistical analysis. Results Characterization tests confirmed the formation of the carbon and crystallite structure with the electrical conductivity . Current with 1500 uA intensity, 500Hz frequency, and square waveform were selected as the optimal current parameters. It was found that the daily and periodic increase in shock time leads to an increase in the expression of neural and glial genes. A comparison of groups with real-time PCR and immunofluorescence of nestin, Map2, TubB3, and GFAPgenes was evaluated. Conclusions There are a variety of chemical and physical methods to control cell behavior, one of which is electrical stimulation. Conductive scaffolding is required for direct electrical stimulation of cells. The results showed that the method based on electrical stimulation can well cause neural differentiation, and considering the problems in preparing and maintaining chemical differentiation agents, it can be used practically. Graphical abstract: stages of scaffold preparation and electrical stimulation of stem cells
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2024.05.08.593090
- https://www.biorxiv.org/content/biorxiv/early/2024/05/10/2024.05.08.593090.full.pdf
- OA Status
- green
- Cited By
- 1
- References
- 71
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4396830517
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4396830517Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1101/2024.05.08.593090Digital Object Identifier
- Title
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Investigation and optimization the effect of electrical stimulation parameters on the differentiation of human adipose mesenchymal stem cells into neurons-like cells on carbon nanofibersWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
-
2024-05-10Full publication date if available
- Authors
-
Houra Nekounam, Hossein Golmohammadi, Seyed Mohammad Amini, Mohammad Ali Shokrgozar, Reza Faridi-MajidList of authors in order
- Landing page
-
https://doi.org/10.1101/2024.05.08.593090Publisher landing page
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https://www.biorxiv.org/content/biorxiv/early/2024/05/10/2024.05.08.593090.full.pdfDirect link to full text PDF
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://www.biorxiv.org/content/biorxiv/early/2024/05/10/2024.05.08.593090.full.pdfDirect OA link when available
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Mesenchymal stem cell, Adipose tissue, Stem cell, Materials science, Biomedical engineering, Cell biology, Biophysics, Chemistry, Nanotechnology, Biology, Medicine, BiochemistryTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2024: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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