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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Publication Details

Journal
npj Digital Medicine
Published
2025-07-14
DOI
https://doi.org/10.1038/s41746-025-01850-5
Citations
1
Primary Topic
Retinal Imaging and Analysis
Type
article
Field-Weighted Citation Impact
1.36

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

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npj Digital Medicine
Retinal Imaging and Analysis
1.36
article

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

Yiheng Mao, Zhengxing Huang, Menglin Lu, Yesheng Xu, Yu‐Feng Yao, Fei Wu, Zhu Hui
article en
1 citations

Abstract

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.

npj Digital MedicineVol. 8(1)
Zhejiang University of Science and Technology (CN), Sir Run Run Shaw Hospital (CN), Soochow University (CN), Second Affiliated Hospital of Soochow University (CN), The Fourth Affiliated Hospital of Soochow University (Suzhou Dushu Lake Hospital), Zhejiang University (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 18%
Retinal Imaging and Analysis
1.36
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