ArticleSaudi journal of ophthalmology : official journal of the Saudi Ophthalmological Society2014
Stem cell-based therapy for treating limbal stem cells deficiency: A review of different strategies.
Article in Saudi journal of ophthalmology : official journal of the Saudi Ophthalmological Society, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 32 citations in OpenAlex.
- Labial Mucosa Stem Cells: Isolation, Characterization, and Their Potential for Corneal Epithelial Reconstruction.Investigative ophthalmology & visual science · 2022Article
- Agrin Promotes Limbal Stem Cell Proliferation and Corneal Wound Healing Through Hippo-Yap Signaling Pathway.Investigative ophthalmology & visual science · 2020Article
- Response of human oral mucosal epithelial cells to different storage temperatures: A structural and transcriptional study.PloS one · 2020Article
- Simple oral mucosal epithelial transplantation in a rabbit model.Scientific reports · 2019Article
- A Hyaluronan Hydrogel Scaffold for Culture of Human Oral Mucosal Epithelial Cells in Limbal Stem-Cell Therapy.Bioengineering (Basel, Switzerland) · 2019Article
- Review
- Evaluation of an Improved Chitosan Scaffold Cross-Linked With Polyvinyl Alcohol and Amine Coupling Through 1-Ethyl-3-(3-Dimethyl Aminopropyl)-Carbodiimide (EDC) and 2 N-Hydroxysuccinimide (NHS) for Corneal Applications.Open access Macedonian journal of medical sciences · 2018Article
- Feeder Cells Free Rabbit Oral Mucosa Epithelial Cell Sheet Engineering.Tissue engineering and regenerative medicine · 2018Article
- Comparative analysis of different feeder layers with 3T3 fibroblasts for culturing rabbits limbal stem cells.International journal of ophthalmology · 2017Article
- A Simple Mechanical Procedure to Create Limbal Stem Cell Deficiency in Mouse.Journal of visualized experiments : JoVE · 2016Article
- Cellular Stiffness as a Novel Stemness Marker in the Corneal Limbus.Biophysical journal · 2016Article
- Pluripotent Stem Cells and Other Innovative Strategies for the Treatment of Ocular Surface Diseases.Stem cell reviews and reports · 2016Review
- Treatment of Inherited Eye Defects by Systemic Hematopoietic Stem Cell Transplantation.Investigative ophthalmology & visual science · 2015Article
- Tissue Engineering the Cornea: The Evolution of RAFT.Journal of functional biomaterials · 2015Review
- Dry eye and ocular surface disease.Saudi journal of ophthalmology : official journal of the Saudi Ophthalmological Society · 2014Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The self renewal capability of limbal epithelial stem (LEST) cells is fundamental to the maintenance and healing of corneal epithelium. Limbal stem cell deficiency (LSCD), due to dysfunction or loss of LEST cells, therefore presents as persistent epithelial defects, corneal vascularization, conjunctivalization etc. Stem cell-based therapy, in its simplest form - limbal autograft, has been used successfully for more than a decade. For bilateral LSCD, similar approaches with limbal allografts have been unsuccessful largely due to strong immune rejection. Therefore, as an alternate strategy for treating bilateral LSCD, ex vivo expansion of the remaining LEST cells or autologous stem cells sourced from other potential sites is being explored. Different culture systems (with and without xenobiotic supplements) using substrates like amniotic membrane or fibrin gels have been used successfully for ex vivo LEST cell maintenance and reproduction by imitating the stem cell niche. This paper is organized into sections reviewing the LEST cells, LSCD and various stem cell-based approaches for treating LSCD and discussing future direction and challenges.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.