使用视网膜成像预测主要血管相关疾病的表型筛选和遗传见解

IF 15.1 1区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Menglin Lu, Yiheng Mao, Hui Zhu, Yesheng Xu, Yu-Feng Yao, Fei Wu, Zhengxing Huang
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引用次数: 0

摘要

视网膜摄影是评估血管健康的一种有价值的非侵入性工具,但将视网膜微循环与主要血管相关疾病(如心肌梗死[MI]、中风和慢性肾脏疾病[CKD])联系起来的遗传证据仍然很少。本研究从表型和遗传的角度探讨了它们之间的关系。在表型上,我们开发了一种基于视网膜成像的筛查模型来评估这些疾病的10年风险,并结合定量分析来确定特定的血管异常。遗传学上,我们分析了视网膜图像衍生的特征,以探索其与血管相关疾病的遗传和因果关系。25840名英国生物银行参与者的内部验证和4558名参与者的外部时间验证证实了该模型优于传统风险模型。孟德尔随机化提示视网膜特征与卒中和心肌梗死之间存在因果关系,以及CKD对视网膜微循环的影响。这些发现加强了视网膜微循环与主要血管相关事件之间的联系,突出了视网膜成像在临床环境中早期检测的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Phenotypic screening and genetic insights for predicting major vascular-related diseases using retinal imaging

Phenotypic screening and genetic insights for predicting major vascular-related diseases using retinal imaging

Retinal photography is a valuable non-invasive tool for assessing vascular health, but genetic evidence linking retinal microcirculation to major vascular-related diseases (e.g., myocardial infarction [MI], stroke, and chronic kidney disease [CKD]) remains scarce. This study investigates their relationships from both phenotypic and genetic perspectives. Phenotypically, we developed a retinal imaging-based screening model to evaluate 10-year risk of these conditions, incorporating quantitative analyses to pinpoint specific vascular abnormalities. Genetically, we analyzed retinal image-derived traits to explore their genetic and causal relationships with vascular-related diseases. Internal validation with 25,840 UK Biobank participants and external temporal validation with 4558 participants confirmed the model’s superiority over traditional risk models. Mendelian randomization suggested causal relationships between retinal traits and stroke and MI, as well as the impact of CKD on retinal microcirculation. These findings reinforce the connection between retinal microcirculation and major vascular-related events, highlighting the potential of retinal imaging for early detection in clinical settings.

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来源期刊
CiteScore
25.10
自引率
3.30%
发文量
170
审稿时长
15 weeks
期刊介绍: npj Digital Medicine is an online open-access journal that focuses on publishing peer-reviewed research in the field of digital medicine. The journal covers various aspects of digital medicine, including the application and implementation of digital and mobile technologies in clinical settings, virtual healthcare, and the use of artificial intelligence and informatics. The primary goal of the journal is to support innovation and the advancement of healthcare through the integration of new digital and mobile technologies. When determining if a manuscript is suitable for publication, the journal considers four important criteria: novelty, clinical relevance, scientific rigor, and digital innovation.
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