Endocrinology and Metabolism

Brief Report

Diabetes, obesity and metabolism
Association of Steatotic Liver Disease with Retinal Vascular Occlusion: The Influence of Obesity in a Large Health Screening Cohort: Younjin Oh, Su Jeong Song; Endocrinol Metab. 2025;40(2):299-303. Published online February 12, 2025; DOI: https://doi.org/10.3803/EnM.2024.2181

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Abstract PDF Supplementary Material PubReader ePub: In this cross-sectional study, we aimed to investigate the relationship between steatotic liver disease (SLD) and retinal abnormalities in a cohort undergoing health screening. Our study included 353,607 participants who underwent fundus photography and abdominal ultrasonography at least once at the Kangbuk Samsung Health Promotion Center from 2002 to 2022. After adjusting for age and sex, the risk of retinal vein occlusion (RVO) significantly increased with the presence of non-alcoholic fatty liver disease, metabolic dysfunction-associated fatty liver disease, and metabolic dysfunction-associated SLD, with odds ratios of 1.259 (95% confidence interval [CI], 1.050 to 1.510), 1.498 (95% CI, 1.249 to 1.796), and 1.342 (95% CI, 1.121 to 1.605), respectively. However, these associations weakened after adjusting for body mass index. No statistically significant associations were observed with other retinal disorders after adjusting for age, sex, and other confounding factors. Our findings suggest that obesity may mediate the relationship between SLD and RVO, while other retinal abnormalities may be more closely associated with known risk factors rather than SLD itself.

Review Articles

Diabetes, obesity and metabolism
Artificial Intelligence Applications in Diabetic Retinopathy: What We Have Now and What to Expect in the Future: Mingui Kong, Su Jeong Song; Endocrinol Metab. 2024;39(3):416-424. Published online June 10, 2024; DOI: https://doi.org/10.3803/EnM.2023.1913

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Abstract PDF PubReader ePub

Diabetic retinopathy (DR) is a major complication of diabetes mellitus and is a leading cause of vision loss globally. A prompt and accurate diagnosis is crucial for ensuring favorable visual outcomes, highlighting the need for increased access to medical care. The recent remarkable advancements in artificial intelligence (AI) have raised high expectations for its role in disease diagnosis and prognosis prediction across various medical fields. In addition to achieving high precision comparable to that of ophthalmologists, AI-based diagnosis of DR has the potential to improve medical accessibility, especially through telemedicine. In this review paper, we aim to examine the current role of AI in the diagnosis of DR and explore future directions.

Citations

Citations to this article as recorded by

Revolutionizing diabetic retinopathy screening and management: The role of artificial intelligence and machine learning
Mona Mohamed Ibrahim Abdalla, Jaiprakash Mohanraj
World Journal of Clinical Cases.2025;[Epub] CrossRef
Retinal Biomarkers in Diabetic Retinopathy: From Early Detection to Personalized Treatment
Georgios Chondrozoumakis, Eleftherios Chatzimichail, Oussama Habra, Efstathios Vounotrypidis, Nikolaos Papanas, Zisis Gatzioufas, Georgios D. Panos
Journal of Clinical Medicine.2025; 14(4): 1343. CrossRef
Enhancing Ophthalmic Diagnosis and Treatment with Artificial Intelligence
David B. Olawade, Kusal Weerasinghe, Mathugamage Don Dasun Eranga Mathugamage, Aderonke Odetayo, Nicholas Aderinto, Jennifer Teke, Stergios Boussios
Medicina.2025; 61(3): 433. CrossRef
Advancing Diabetic Retinopathy Screening: A Systematic Review of Artificial Intelligence and Optical Coherence Tomography Angiography Innovations
Alireza Hayati, Mohammad Reza Abdol Homayuni, Reza Sadeghi, Hassan Asadigandomani, Mohammad Dashtkoohi, Sajad Eslami, Mohammad Soleimani
Diagnostics.2025; 15(6): 737. CrossRef
What do You Need to Know after Diabetes and before Diabetic Retinopathy?
Shiyu Zhang, Jia Liu, Heng Zhao, Yuan Gao, Changhong Ren, Xuxiang Zhang
Aging and disease.2025;[Epub] CrossRef
OCT Angiography Assessment of Type 1 Diabetes Mellitus Patients Without Diabetic Retinopathy: A 3-Year Follow-Up Study
Alexandra Oltea Dan, Carmen Luminița Mocanu, Alin Ștefan Ștefănescu-Dima, Andreea Cornelia Tănasie, Veronica Elena Maria, Anca Elena Târtea, Andrei Theodor Bălășoiu
Diagnostics.2025; 15(13): 1703. CrossRef

Obesity and Metabolism
Current Challenges in Diabetic Retinopathy: Are We Really Doing Better?: Jae Hyuck Lee, Su Jeong Song; Endocrinol Metab. 2016;31(2):254-257. Published online June 10, 2016; DOI: https://doi.org/10.3803/EnM.2016.31.2.254

4,937 View
37 Download
7 Web of Science
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Abstract PDF PubReader

Management of diabetic complications has been a worldwide major global health issue for decades. Recent studies from many parts of the world indicate improvement in this area. However, it is unknown if such an improvement is being realized in Koreans. Although there is limited information regarding diabetic retinopathy management among Koreans, recent epidemiologic studies have indicated improved screening rates and less frequent visual impairment among type 2 diabetics. Moreover, results achieved with new diagnostic and treatment modalities aimed to improve diabetic retinopathy management are encouraging for both physicians and patients.

Citations

Citations to this article as recorded by

A meta-analysis of prevalence of diabetic retinopathy in Asia
Clyve Y. YAOW, Snow Y. LIN, Jieling XIAO, Jin H. KOH, Jie N. YONG, Phoebe W. TAY, See T. TAN
Minerva Endocrinology.2025;[Epub] CrossRef
Plasma amino acids and oxylipins as potential multi-biomarkers for predicting diabetic macular edema
Sang Youl Rhee, Eun Sung Jung, Dong Ho Suh, Su Jin Jeong, Kiyoung Kim, Suk Chon, Seung-Young Yu, Jeong-Taek Woo, Choong Hwan Lee
Scientific Reports.2021;[Epub] CrossRef
Urine protein: Urine creatinine ratio correlation with diabetic retinopathy
Samya Mujeeb, Gladys R Rodrigues, Rajesh R Nayak, Ajay R Kamath, Sumana J Kamath, Gurudutt Kamath
Indian Journal of Ophthalmology.2021; 69(11): 3359. CrossRef
Diabetic Retinopathy in the Asia-Pacific

Asia-Pacific Journal of Ophthalmology.2019;[Epub] CrossRef
Plasma glutamine and glutamic acid are potential biomarkers for predicting diabetic retinopathy
Sang Youl Rhee, Eun Sung Jung, Hye Min Park, Su Jin Jeong, Kiyoung Kim, Suk Chon, Seung-Young Yu, Jeong-Taek Woo, Choong Hwan Lee
Metabolomics.2018;[Epub] CrossRef
Articles inEndocrinology and Metabolismin 2016
Won-Young Lee
Endocrinology and Metabolism.2017; 32(1): 62. CrossRef
Normal-to-mildly increased albuminuria predicts the risk for diabetic retinopathy in patients with type 2 diabetes
Min-Kyung Lee, Kyung-Do Han, Jae-Hyuk Lee, Seo-Young Sohn, Oak-Kee Hong, Jee-Sun Jeong, Mee-Kyoung Kim, Ki-Hyun Baek, Ki-Ho Song, Hyuk-Sang Kwon
Scientific Reports.2017;[Epub] CrossRef

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