Electrophysiological analysis of mesenchymal stem cells post-cryopreservation highlights the need for a recovery period: implications for cell-based therapies
Year: 2025
Type: article
Abstract: Human mesenchymal stem cells (MSCs) are characterized by their ability to differentiate into a variety of cell types, including osteocytes, chondrocytes, and adipocytes, making them promising candidates for cell-based therapies. Whilst the optimum method of clinical use is to use MSCs immediately after harvesting and expansion, there is often a need to cryostore MSCs before transplantation; this negatively impacts MSCs, affecting phenotypic marker expression, viability, differentiation potential, and other properties. There is consequently a requirement for methods to determine the biophysical state of MSCs post-thaw, in order to determine an optimum time for implantation after cells have recovered to a "normal" state. Typically, the primary method of assessing this is by measurement of cell viability; the cellular membrane is one of the key indicators of cell health and cell-cell interactions. Membrane-integrity dyes such as trypan blue are commonly used for binary viability checks, and ion tracking dyes offer insight into channel activation. However, these are typically expensive and time-consuming to use, limiting their efficacy in relatively high-throughput manufacturing scenarios. We used novel electrophysiological methods to assess MSC-health following freezing and thawing. Our results indicate that MSC health deviates significantly from its original phenotype immediately after thawing and only begins to resemble the pre-freezing state after three days. Notably, cell membrane capacitance does not fully recover to pre-freezing levels, even after this period. Results also suggest that the use of DMSO as a cryopreservant may be associated with the prolonged recovery period.
Source: Stem Cell Research & Therapy
Authors: Matthew P. Johnson, Muhammad Hamza Tariq, Michael Pycraft Hughes, Nupur Kohli
Institution: Khalifa University of Science and Technology
Language: English
Subfield: Genetics
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,190
Awards: G1324759626, G4336187089
OpenAlex ID: W4417527612
