Stem/progenitor cell-based transplantation for retinal degeneration: a review of clinical trials.
Yiqi WangZhimin TangPing GuPublished in: Cell death & disease (2020)
Retinal degeneration (RD) is one of the dominant causes of irreversible vision impairment and blindness worldwide. However, the current effective therapeutics for RD in the ophthalmologic clinic are unclear and controversial. In recent years, extensively investigated stem/progenitor cells-including retinal progenitor cells (RPCs), embryonic stem cells (ESCs), induced pluripotent stem cells (iPSCs) and mesenchymal stromal cells (MSCs)-with proliferation and multidirectional differentiation potential have presented opportunities to revolutionise the ultimate clinical management of RD. Herein, we provide a comprehensive overview on the progression of clinical trials for RD treatment using four types of stem/progenitor cell-based transplantation to replace degenerative retinal cells and/or to supplement trophic factors from the aspects of safety, effectiveness and their respective advantages and disadvantages. In addition, we also discuss the emerging role of stem cells in the secretion of multifunctional nanoscale exosomes by which stem cells could be further exploited as a potential RD therapy. This review will facilitate the understanding of scientists and clinicians of the enormous promise of stem/progenitor cell-based transplantation for RD treatment, and provide incentive for superior employment of such strategies that may be suitable for treatment of other diseases, such as stroke and ischaemia-reperfusion injury.
Keyphrases
- stem cells
- clinical trial
- optical coherence tomography
- diabetic retinopathy
- cell therapy
- mesenchymal stem cells
- randomized controlled trial
- primary care
- heart failure
- palliative care
- risk assessment
- small molecule
- combination therapy
- cell proliferation
- drug delivery
- machine learning
- acute coronary syndrome
- phase ii
- open label
- big data
- brain injury
- multidrug resistant
- blood brain barrier
- cancer therapy
- deep learning
- mental illness