Use of serum long non-coding RNA expression panel as a marker for diabetic retinopathy
IntroductionDiabetic retinopathy (DR) is the most common chronic complication of diabetes, the leading cause of vision impairments in working-aged adults, and a significant cause of reduced quality of life for diabetic patients. Diabetic patients are recommended to have regular screening in order to...
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Frontiers Media S.A.
2025-04-01
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| Series: | Frontiers in Cardiovascular Medicine |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fcvm.2025.1523997/full |
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| author | Eric Wang Shali Chen Anorin Ali Biao Feng Selina Liu John Gonder Tom Sheidow Phil Hooper Subrata Chakrabarti Subrata Chakrabarti Subrata Chakrabarti |
| author_facet | Eric Wang Shali Chen Anorin Ali Biao Feng Selina Liu John Gonder Tom Sheidow Phil Hooper Subrata Chakrabarti Subrata Chakrabarti Subrata Chakrabarti |
| author_sort | Eric Wang |
| collection | DOAJ |
| description | IntroductionDiabetic retinopathy (DR) is the most common chronic complication of diabetes, the leading cause of vision impairments in working-aged adults, and a significant cause of reduced quality of life for diabetic patients. Diabetic patients are recommended to have regular screening in order to catch DR at an early enough stage for effective management. However, due to a variety of factors, many patients can still fall through the cracks with the current screening methods.MethodsSeveral long non-coding RNAs (lncRNAs), essential regulators of physiological and pathological processes, were previously identified by us as potential markers for DR phenotypes. In this study, we used a significantly larger sample set to validate our panel of lncRNAs. We also explored the possibility of creating a statistical model to detect DR from serum samples using the expression profiles of these lncRNAs.ResultsOur regression models, based solely on lncRNA expression data, demonstrated the ability to adequately detect DR and potentially predict it. Models based solely on lncRNA expression performed equally or better compared to models with additional patient information. The models showed promising performance, suggesting that serum lncRNA expression profiles could serve as reliable markers for DR detection.DiscussionFurther longitudinal studies are necessary to validate the model's capability to predict retinopathy in diabetic patients not yet diagnosed with DR. Nevertheless, our findings indicate that this lncRNA panel may offer a viable option for a simple, accessible, and convenient blood-based screening test for DR. |
| format | Article |
| id | doaj-art-cc8a39a232dc4eef832c5f7a4f5b1870 |
| institution | OA Journals |
| issn | 2297-055X |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Cardiovascular Medicine |
| spelling | doaj-art-cc8a39a232dc4eef832c5f7a4f5b18702025-08-20T02:08:27ZengFrontiers Media S.A.Frontiers in Cardiovascular Medicine2297-055X2025-04-011210.3389/fcvm.2025.15239971523997Use of serum long non-coding RNA expression panel as a marker for diabetic retinopathyEric Wang0Shali Chen1Anorin Ali2Biao Feng3Selina Liu4John Gonder5Tom Sheidow6Phil Hooper7Subrata Chakrabarti8Subrata Chakrabarti9Subrata Chakrabarti10Department of Pathology and Laboratory Medicine, Western University, London, ON, CanadaDepartment of Pathology and Laboratory Medicine, Western University, London, ON, CanadaDepartment of Pathology and Laboratory Medicine, Western University, London, ON, CanadaDepartment of Pathology and Laboratory Medicine, Western University, London, ON, CanadaCentre for Diabetes, Endocrinology, and Metabolism, St. Joseph’s Hospital, London, ON, CanadaIvey Eye Institute, St. Joseph’s Hospital, London, ON, CanadaIvey Eye Institute, St. Joseph’s Hospital, London, ON, CanadaIvey Eye Institute, St. Joseph’s Hospital, London, ON, CanadaDepartment of Pathology and Laboratory Medicine, Western University, London, ON, CanadaIvey Eye Institute, St. Joseph’s Hospital, London, ON, CanadaDepartment of Pathology and Laboratory Medicine, London Health Sciences Centre, London, ON, CanadaIntroductionDiabetic retinopathy (DR) is the most common chronic complication of diabetes, the leading cause of vision impairments in working-aged adults, and a significant cause of reduced quality of life for diabetic patients. Diabetic patients are recommended to have regular screening in order to catch DR at an early enough stage for effective management. However, due to a variety of factors, many patients can still fall through the cracks with the current screening methods.MethodsSeveral long non-coding RNAs (lncRNAs), essential regulators of physiological and pathological processes, were previously identified by us as potential markers for DR phenotypes. In this study, we used a significantly larger sample set to validate our panel of lncRNAs. We also explored the possibility of creating a statistical model to detect DR from serum samples using the expression profiles of these lncRNAs.ResultsOur regression models, based solely on lncRNA expression data, demonstrated the ability to adequately detect DR and potentially predict it. Models based solely on lncRNA expression performed equally or better compared to models with additional patient information. The models showed promising performance, suggesting that serum lncRNA expression profiles could serve as reliable markers for DR detection.DiscussionFurther longitudinal studies are necessary to validate the model's capability to predict retinopathy in diabetic patients not yet diagnosed with DR. Nevertheless, our findings indicate that this lncRNA panel may offer a viable option for a simple, accessible, and convenient blood-based screening test for DR.https://www.frontiersin.org/articles/10.3389/fcvm.2025.1523997/fulllong non-coding RNAdiabetic retinopathyepigeneticsdiagnosisbiomarker |
| spellingShingle | Eric Wang Shali Chen Anorin Ali Biao Feng Selina Liu John Gonder Tom Sheidow Phil Hooper Subrata Chakrabarti Subrata Chakrabarti Subrata Chakrabarti Use of serum long non-coding RNA expression panel as a marker for diabetic retinopathy Frontiers in Cardiovascular Medicine long non-coding RNA diabetic retinopathy epigenetics diagnosis biomarker |
| title | Use of serum long non-coding RNA expression panel as a marker for diabetic retinopathy |
| title_full | Use of serum long non-coding RNA expression panel as a marker for diabetic retinopathy |
| title_fullStr | Use of serum long non-coding RNA expression panel as a marker for diabetic retinopathy |
| title_full_unstemmed | Use of serum long non-coding RNA expression panel as a marker for diabetic retinopathy |
| title_short | Use of serum long non-coding RNA expression panel as a marker for diabetic retinopathy |
| title_sort | use of serum long non coding rna expression panel as a marker for diabetic retinopathy |
| topic | long non-coding RNA diabetic retinopathy epigenetics diagnosis biomarker |
| url | https://www.frontiersin.org/articles/10.3389/fcvm.2025.1523997/full |
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