Completed Heart, Stroke & Blood Cells, Biochemistry & Physiology

Development of stem cell therapy for the treatment of retinal degneration

In plain English

AI plain-English summary

Blind mice that could barely see regained some vision after receiving transplants of immature photoreceptor cells from developing retinas—and now researchers want to turn adult stem cells into a reliable source of those same repair cells. This matters because hereditary retinal disease and age-related macular degeneration destroy the light-sensitive photoreceptors in the eye, causing irreversible blindness in hundreds of thousands of people in the UK. No effective treatments exist to replace those lost cells. The team has already shown that transplanting immature photoreceptors from developing mouse retinas can restore some visual function, but the supply of those cells is limited and they come from foreign tissue, risking rejection. If this research succeeds, it would establish a method to generate the right type of immature photoreceptor from a patient’s own retinal stem cells in the lab, and to boost how many of those transplanted cells integrate into the damaged retina. That would provide the basic framework for developing a similar cell-replacement therapy for human patients, potentially offering a treatment for some forms of blindness.

View original technical description
Hereditary retinal disease and age related macular degeneration (AMD) are major causes of irreversible blindness in the UK and involve the loss of the light sensitive photoreceptor cells in the retina. The lack of effective treatments for these conditions means there is a requirement to develop new therapies. The replacement of lost photoreceptors by cell transplantation is one possible approach, but transplanted cells need to make functional connections with the host retina. We have recently discovered that transplantation of immature photoreceptor cells from the developing retina into mouse models of retinal degeneration results in the integration of new photoreceptors that form functional connections with other retinal cells and improve visual function in these blind mice. Having defined the type of cell that is effective for retinal repair we now need to increase the number of new cells that integrate into the retina and find ways of generating the optimal type of immature cell in the laboratory. The adult retina contains retinal stem cells with the capacity to give rise to new photoreceptors in a cell-culture dish and these are a potential source of cells for transplantation that would avoid problems of rejection of foreign tissue. The aim of this proposal is to develop strategies to replace missing photoreceptors in mouse models of retinal disease by transplanting retinal stem cells following various manipulations in the laboratory to optimise their development. We will investigate whether appropriate cells for transplantation can be generated by the introduction of genes that alter the stem cells themselves, and whether the introduction of genes into the retina receiving the transplant promotes increased levels of cell integration and enhances the improvement in vision. By determining the conditions for effective treatment of animal models using stem cells derived from the adult eye, we aim to provide the basic framework for developing similar approaches to treat human disease.

View the original record at the funder ↗

Researchers

Jane Sowden (Co-Investigator)Robert McLaren (Co-Investigator)Robin Ali (Principal Investigator)

Related Research

Grants with similar aims, by meaning.

Development of stem cell therapy to restore photopic vision
Optimisation of human ESC-derived photoreceptor cell differentiation
Improving functional connectivity following transplantation of cone photoreceptors
Using cell surface antigens for the isolation of photoreceptor precursor cells for retinal stem cell therapy
Using cell surface antigens for the isolation of human photoreceptor precursor cells for retinal stem cell therapy

Original classification

Research Grant

Plain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research.