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Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.
World J Diabetes. May 15, 2026; 17(5): 116585
Published online May 15, 2026. doi: 10.4239/wjd.v17.i5.116585
ICAM-1 enigma in diabetic retinopathy: How population genetics challenges a universal pathogenesis model
Zhen-Yu Liu, Li-Xia Song, Zhi-Ran Yue, Si-Yan Huo, Fang-Jun Xu
Zhen-Yu Liu, Zhi-Ran Yue, Department of Cardiovascular Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
Li-Xia Song, Department of Critical Care Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, China
Si-Yan Huo, Department of Pharmacology and Toxicology, Medical College of Wisconsin, Milwaukee, WI 53226, United States
Fang-Jun Xu, Department of Ultrasound, The People's Hospital of Yiyang, Yiyang 413001, Hunan Province, China
Co-first authors: Zhen-Yu Liu and Li-Xia Song.
Author contributions: Liu ZY and Song LX contributed equally to this study as co-first authors; Liu ZY and Xu FJ were responsible for conceptualization, manuscript review and editing, and supervision; all authors were responsible for original draft preparation.
AI contribution statement: Grammarly is used for sentence construction with different vocabulary. ChatGPT 5.2 is used to check for grammatical issues in the manuscript after all authors have confirmed it.
Conflict-of-interest statement: The authors declare that they have no conflicts of interest to disclose.
Corresponding author: Fang-Jun Xu, MD, Department of Ultrasound, The People's Hospital of Yiyang, No. 232 Wuyi West Road, Yiyang 413001, Hunan Province, China. xufangjundoctor@163.com
Received: November 21, 2025
Revised: January 8, 2026
Accepted: January 22, 2026
Published online: May 15, 2026
Processing time: 171 Days and 20.5 Hours
Abstract

A compelling case-control study offers a crucial piece in the complex puzzle of diabetic retinopathy (DR) genetics. Its most intriguing finding is the significant association of the ICAM-1 genotype with increased risk of DR in a Northern Indian cohort, a result that stands in stark contrast to the null association found in the broader Asian meta-analysis but intriguingly echoes signals observed in Caucasian populations. This discrepancy is not a weakness but rather the study's core strength. It presents a powerful argument against a one-size-fits-all genetic model and forcefully introduces the critical roles of population-specific genetic architecture, local environmental factors, and unique gene-gene interactions. This research invites us to move beyond simply identifying risk alleles and toward understanding their variable expressivity across different human backgrounds. It challenges the field to prioritize nuanced, population-aware studies over broad generalizations and underscores the promise of genetic biomarkers in precision risk stratification. We encourage readers to engage with this study, assess its argument for the importance of the ethnic context in genetic research, and consider how it might reshape future strategies in predicting and preventing this devastating diabetic complication.

Keywords: Diabetic retinopathy; ICAM-1; Type 2 diabetes; Genetics; Northern India

Core Tip: A study demonstrated that the association between ICAM-1 polymorphisms and diabetic retinopathy is not universal but varies significantly across ethnic groups. This finding highlights the critical importance of population genetics in refining pathogenesis models and moving beyond a one-size-fits-all approach to complex microvascular diseases.

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