Emerging Issues in Retinal Degeneration
A special issue of Biomedicines (ISSN 2227-9059). This special issue belongs to the section "Cell Biology and Pathology".
Deadline for manuscript submissions: 28 February 2025 | Viewed by 838
Special Issue Editor
Special Issue Information
Dear Colleagues,
Retinal degeneration includes a spectrum of progressive eye diseases such as age-related macular degeneration (AMD), retinitis pigmentosa (RP) and diabetic retinopathy, all of which can result in significant vision loss or blindness. As the global population ages and diabetes becomes more prevalent, these conditions are emerging as critical public health challenges. This Special Issue is dedicated to showcasing the latest advancements and addressing new challenges in the study of retinal degeneration.
We encourage researchers and clinicians to submit original research papers, reviews and case reports that delve into innovative diagnostic techniques, cutting-edge therapeutic strategies and the fundamental molecular pathways involved in retinal degeneration. The areas of interest encompass gene therapy, stem cell therapy, retinal implants and new pharmacological treatments. We also welcome contributions that examine the effects of lifestyle and environmental factors on disease progression, the identification of predictive biomarkers and enhancements in imaging technology.
The aim of this Special Issue is to present a thorough overview of contemporary trends and future directions in retinal degeneration research. By promoting interdisciplinary collaboration and the exchange of knowledge, we strive to enhance our understanding and treatment of these debilitating diseases, thereby improving the outcomes and quality of life for patients.
Dr. Ponarulselvam Sekar
Guest Editor
Manuscript Submission Information
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Keywords
- retinal degeneration
- age-related macular degeneration (AMD)
- retinitis pigmentosa (RP)
- diabetic retinopathy
- gene therapy
- stem cell therapy
- retinal implants
- pharmacological treatments
- diagnostic methods
- molecular mechanisms
- predictive biomarkers
- imaging technologies
- signaling pathways
- oxidative stress
- neuroprotection
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