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Circulating Biomarkers to Predict Diabetic Retinopathy in Patients with Diabetic Kidney Disease
The purpose of this review is to outline the currently available circulating biomarkers to predict diabetic retinopathy (DR) in patients with diabetic kidney disease (DKD). Studies have extensively reported the association between DR and DKD, suggesting the presence of common pathways of microangiop...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10123608/ https://www.ncbi.nlm.nih.gov/pubmed/37092467 http://dx.doi.org/10.3390/vision7020034 |
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author | , Jonny Violetta, Laurencia Kartasasmita, Arief S. Supriyadi, Rudi Rita, Coriejati |
author_facet | , Jonny Violetta, Laurencia Kartasasmita, Arief S. Supriyadi, Rudi Rita, Coriejati |
author_sort | , Jonny |
collection | PubMed |
description | The purpose of this review is to outline the currently available circulating biomarkers to predict diabetic retinopathy (DR) in patients with diabetic kidney disease (DKD). Studies have extensively reported the association between DR and DKD, suggesting the presence of common pathways of microangiopathy. The presence of other ocular complications including diabetic cataracts may hinder the detection of retinopathy, which may affect the visual outcome after surgery. Unlike DKD screening, the detection of DR requires complex, costly machines and trained technicians. Recognizing potential biological markers related to glycation and oxidative stress, inflammation and endothelial dysfunction, basement membrane thickening, angiogenesis, and thrombosis as well as novel molecular markers involved in the microangiopathy process may be useful as predictors of retinopathy and identify those at risk of DR progression, especially in cases where retinal visualization becomes a clinical challenge. Further investigations could assist in deciding which biomarkers possess the highest predictive power to predict retinopathy in clinical settings. |
format | Online Article Text |
id | pubmed-10123608 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-101236082023-04-25 Circulating Biomarkers to Predict Diabetic Retinopathy in Patients with Diabetic Kidney Disease , Jonny Violetta, Laurencia Kartasasmita, Arief S. Supriyadi, Rudi Rita, Coriejati Vision (Basel) Review The purpose of this review is to outline the currently available circulating biomarkers to predict diabetic retinopathy (DR) in patients with diabetic kidney disease (DKD). Studies have extensively reported the association between DR and DKD, suggesting the presence of common pathways of microangiopathy. The presence of other ocular complications including diabetic cataracts may hinder the detection of retinopathy, which may affect the visual outcome after surgery. Unlike DKD screening, the detection of DR requires complex, costly machines and trained technicians. Recognizing potential biological markers related to glycation and oxidative stress, inflammation and endothelial dysfunction, basement membrane thickening, angiogenesis, and thrombosis as well as novel molecular markers involved in the microangiopathy process may be useful as predictors of retinopathy and identify those at risk of DR progression, especially in cases where retinal visualization becomes a clinical challenge. Further investigations could assist in deciding which biomarkers possess the highest predictive power to predict retinopathy in clinical settings. MDPI 2023-04-09 /pmc/articles/PMC10123608/ /pubmed/37092467 http://dx.doi.org/10.3390/vision7020034 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review , Jonny Violetta, Laurencia Kartasasmita, Arief S. Supriyadi, Rudi Rita, Coriejati Circulating Biomarkers to Predict Diabetic Retinopathy in Patients with Diabetic Kidney Disease |
title | Circulating Biomarkers to Predict Diabetic Retinopathy in Patients with Diabetic Kidney Disease |
title_full | Circulating Biomarkers to Predict Diabetic Retinopathy in Patients with Diabetic Kidney Disease |
title_fullStr | Circulating Biomarkers to Predict Diabetic Retinopathy in Patients with Diabetic Kidney Disease |
title_full_unstemmed | Circulating Biomarkers to Predict Diabetic Retinopathy in Patients with Diabetic Kidney Disease |
title_short | Circulating Biomarkers to Predict Diabetic Retinopathy in Patients with Diabetic Kidney Disease |
title_sort | circulating biomarkers to predict diabetic retinopathy in patients with diabetic kidney disease |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10123608/ https://www.ncbi.nlm.nih.gov/pubmed/37092467 http://dx.doi.org/10.3390/vision7020034 |
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