The Association of Retinal age gap with metabolic syndrome and inflammation. Issue 3 (14th March 2023)

• Record Type: Journal Article
• Authors: Zhu, Zhuoting; Liu, Dan; Chen, Ruiye; Hu, Wenyi; Liao, Huan; Kiburg, Katerina; Ha, Jason; He, Shuang; Shang, Xianwen; Huang, Yu; Wang, Wei; Yu, Honghua; Yang, Xiaohong; He, Mingguang
• Is Part Of: Journal of diabetes. Volume 15:Issue 3(2023)
• Page Start: 237
• Page End: 245
• Publication Date: 2023-03-14
• Subjects: inflammation -- metabolic syndrome -- retinal age gap; 视网膜年龄差 -- 代谢综合征 -- 炎症; Diabetes -- Periodicals; 618.3646005
• DOI: 10.1111/1753-0407.13364
• Languages: English
• ISSNs: 1753-0393

Abstract

Abstract: Background: Metabolic syndrome (MetS) is a clustering of cardiometabolic components, posing tremendous burdens in the aging society. Retinal age gap has been proposed as a robust biomarker associated with mortality and Parkinson's disease. Although MetS and chronic inflammation could accelerate the aging process and increase the risk of mortality, the association of the retinal age gap with MetS and inflammation has not been examined yet. Methods: Retinal age gap (retina‐predicted age minus chronological age) was calculated using a deep learning model. MetS was defined as the presence of three or more of the following: central obesity, hypertension, dyslipidemia, hypertriglyceridemia, and hyperglycemia. Inflammation index was defined as a high‐sensitivity C‐reactive protein level above 3.0 mg/L. Logistic regression models were used to examine the associations of retinal age gaps with MetS and inflammation. Results: We found that retinal age gap was significantly associated with MetS and inflammation. Specifically, compared to participants with retinal age gaps in the lowest quartile, the risk of MetS was significantly increased by 10% and 14% for participants with retinal age gaps in the third and fourth quartile (odds ratio [OR]:1.10; 95% confidence interval [CI], 1.01, 1.21;, p = .030; OR: 1.14, 95% CI, 1.03, 1.26; p = .012, respectively). Similar trends were identified for the risk of inflammation and combined MetS and inflammation. Conclusion: We found that retinal age gaps were significantly associated with MetS as well as inflammation. Given the noninvasive and cost‐effective nature and the efficacy of the retinal age gap, it has great potential to be used as a screening tool for MetS in large populations. Abstract : Highlights Retinal age gap is a non‐invasive and cost‐effective aging biomarker. Retinal age gap was significantly associated with metabolic syndrome and inflammation. Retinal age gap could be potentially used as a screening tool for metabolic syndrome in large populations. 摘要: 背景: 代谢综合征(MetS)是心脑代谢成分的聚集, 在老龄化社会构成巨大的负担。视网膜年龄差被认为是与死亡率和帕金森病相关的一种强有力的生物标志物。虽然MetS和慢性炎症可以加速衰老过程并增加死亡风险, 但视网膜年龄差与MetS和炎症之间的关系尚未被研究。 方法: 使用深度学习模型计算视网膜年龄差(视网膜预测年龄减去实际年龄)。将MetS定义为以下三项或以上存在:中心性肥胖、高血压、血脂异常、高三酰甘油血症和高血糖。炎症指数定义为高敏C‐反应蛋白(CRP)水平大于3.0 mg/L。使用Logistic回归模型考察视网膜年龄差与MetS和炎症的关联。 结果: 我们发现视网膜年龄差与MetS和炎症显著相关。具体而言, 与视网膜年龄差在最低四分位数的参与者相比, 视网膜年龄差在第三和第四分位数的参与者的MetS风险分别增加了10%和14%(OR [95%CI]:1.10(1.01, 1.21), P = 0.030; OR [95%CI]:1.14(1.03, 1.26), P = 0.012)。在炎症合并MetS和炎症的风险方面也发现了类似的趋势 结论:视网膜年龄差与MetS以及炎症显著相关。鉴于其非侵入性和低成本的特点, 以及其有效性, 视网膜年龄差有巨大的潜力作为大规模人群的MetS筛查工具。