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About this Research Topic

Manuscript Submission Deadline 23 September 2023

Diabetic retinopathy (DR) is a common complication associated with diabetes mellitus, resulting in significant visual impairment in middle-aged and elderly individuals. The advanced stages of DR, including proliferative DR and diabetic macular edema, are characterized by the abnormal growth of new retinal blood vessels and exudation in the central part of the retina, respectively. As well as microvascular diseases, retinal neurodegeneration also plays a significant role in the pathogenesis of DR. The complex interplay of pathophysiological mechanisms triggered by hyperglycemia, genetic and epigenetic factors, increased production of free radicals, advanced glycosylation end products, inflammatory factors, and vascular endothelial growth factor (VEGF), all contribute to the development of DR. Anti-VEGF therapy is currently the recommended treatment for diabetic macular edema, while laser photocoagulation is effective in preventing severe vision loss in eyes with proliferative DR. The identification of biomarkers for DR progression and the recognition of various DR phenotypes with varying risks for vision-threatening complications call for new insights for understanding DR pathogenesis and personalized treatment.

This Research Topic aims at exploring new methods for personalized medicine of DR. With the rapid development of artificial intelligence and interdisciplinary collaboration, concepts like machine learning and wearable devices have been frequently discussed in the field of DR research. With these measures, coupled with increased public awareness of retinal photography and regular screening of DR, as well as early diagnosis and the development of new treatments, we hope that better results and blindness prevention will be achieved for DR patients.

We welcome submissions of Original Research, Reviews, Mini-Reviews, and Systematic Reviews that explore a wide range of themes, in the subtopics of the following, but not limited to:
- In epidemiology, descriptive or analytical studies addressing the prevalence, risk factors, and preventive measures of Diabetic Retinopathy.
- Research applying molecular biology, pathophysiology and multi-omics to improve our current assessment and understanding of mechanisms of Diabetic Retinopathy.
- Studies using ophthalmic information as novel biomarkers of Diabetic Retinopathy progression and the identification of different phenotypes.
- Clinical research, randomized or non-randomized controlled studies focusing on Diabetic Retinopathy.
- Translational Diabetic Retinopathy research for novel screening, diagnostic, and therapeutic technologies to clinical practice.

Keywords: Diabetes retinopathy, Etiology, Biomarker, Diagnosis, Treatment


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

Diabetic retinopathy (DR) is a common complication associated with diabetes mellitus, resulting in significant visual impairment in middle-aged and elderly individuals. The advanced stages of DR, including proliferative DR and diabetic macular edema, are characterized by the abnormal growth of new retinal blood vessels and exudation in the central part of the retina, respectively. As well as microvascular diseases, retinal neurodegeneration also plays a significant role in the pathogenesis of DR. The complex interplay of pathophysiological mechanisms triggered by hyperglycemia, genetic and epigenetic factors, increased production of free radicals, advanced glycosylation end products, inflammatory factors, and vascular endothelial growth factor (VEGF), all contribute to the development of DR. Anti-VEGF therapy is currently the recommended treatment for diabetic macular edema, while laser photocoagulation is effective in preventing severe vision loss in eyes with proliferative DR. The identification of biomarkers for DR progression and the recognition of various DR phenotypes with varying risks for vision-threatening complications call for new insights for understanding DR pathogenesis and personalized treatment.

This Research Topic aims at exploring new methods for personalized medicine of DR. With the rapid development of artificial intelligence and interdisciplinary collaboration, concepts like machine learning and wearable devices have been frequently discussed in the field of DR research. With these measures, coupled with increased public awareness of retinal photography and regular screening of DR, as well as early diagnosis and the development of new treatments, we hope that better results and blindness prevention will be achieved for DR patients.

We welcome submissions of Original Research, Reviews, Mini-Reviews, and Systematic Reviews that explore a wide range of themes, in the subtopics of the following, but not limited to:
- In epidemiology, descriptive or analytical studies addressing the prevalence, risk factors, and preventive measures of Diabetic Retinopathy.
- Research applying molecular biology, pathophysiology and multi-omics to improve our current assessment and understanding of mechanisms of Diabetic Retinopathy.
- Studies using ophthalmic information as novel biomarkers of Diabetic Retinopathy progression and the identification of different phenotypes.
- Clinical research, randomized or non-randomized controlled studies focusing on Diabetic Retinopathy.
- Translational Diabetic Retinopathy research for novel screening, diagnostic, and therapeutic technologies to clinical practice.

Keywords: Diabetes retinopathy, Etiology, Biomarker, Diagnosis, Treatment


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

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