SummaryCultured human myoblasts fail to immortalize following the introduction of telomerase. The availability of an immortalization protocol for normal human myoblasts would allow one to isolate cellular models from various neuromuscular diseases, thus opening the possibility to develop and test novel therapeutic strategies. The parameters limiting the efficacy of myoblast transfer therapy (MTT) could be assessed in such models. Finally, the presence of an unlimited number of cell divisions, and thus the ability to clone cells after experimental manipulations, reduces the risks of insertional mutagenesis by many orders of magnitude. This opportunity for genetic modification provides an approach for creating a universal donor that has been altered to be more therapeutically useful than its normal counterpart. It can be engineered to function under conditions of chronic damage (which are very different than the massive regeneration conditions that recapitulate normal development), and to overcome the biological problems such as cell death and failure to proliferate and migrate that limit current MTT strategies. We describe here the production and characterization of a human myogenic cell line, LHCN-M2, that has overcome replicative aging due to the expression of telomerase and cyclin-dependent kinase 4. We demonstrate that it functions as well as young myoblasts in xenotransplant experiments in immunocompromized mice under conditions of regeneration following muscle damage.

The regenerative capacity of skeletal muscle will depend on the number of available satellite cells and their proliferative capacity. We have measured both parameters in ageing, and have shown that although the proliferative capacity of satellite cells is decreasing during muscle growth, it then stabilizes in the adult, whereas the number of satellite cells decreases during ageing. We have also developed a model to evaluate the regenerative capacity of human satellite cells by implantation into regenerating muscles of immunodeficient mice. Using telomere measurements, we have shown that the proliferative capacity of satellite cells is dramatically decreased in muscle dystrophies, thus hampering the possibilities of autologous cell therapy. Immortalization by telomerase was unsuccessful, and we currently investigate the factors involved in cell cycle exits in human myoblasts. We have also observed that insulin-like growth factor-1 (IGF-1), a factor known to provoke hypertrophy, does not increase the proliferative potential of satellite cells, which suggests that hypertrophy is provoked by increasing the number of satellite cells engaged in differentiation, thus possibly decreasing the compartment of reserve cells. We conclude that autologous cell therapy can be applied to specific targets when there is a source of satellite cells which is not yet exhausted. This is the case of Oculo-Pharyngeal Muscular Dystrophy (OPMD), a late onset muscular dystrophy, and we participate to a clinical trial using autologous satellite cells isolated from muscles spared by the disease.

Design of efficient transplantation strategies for myoblast-based gene therapies in humans requires animal models in which xenografts are tolerated for long periods of time. In addition, such recipients should be able to withstand pretransplantation manipulations for enhancement of graft growth. Here we report that a newly developed immunodeficient mouse carrying two known mutations (the recombinase activating gene 2, RAG2, and the common cytokine receptor gamma, gammac) is a candidate fulfilling these requirements. Skeletal muscles from RAG2(-/-)/gammac(-/-) double mutant mice recover normally after myotoxin application or cryolesion, procedures commonly used to induce regeneration and improve transplantation efficiency. Well-differentiated donor-derived muscle tissue could be detected up to 9 weeks after transplantation of human myoblasts into RAG2(-/-)/gammac(-/-) muscles. These results suggest that the RAG2(-/-)/gammac(-/-) mouse model will provide new opportunities for human muscle research.