Direct evaluation of antiplatelet therapy in coronary artery disease by comprehensive image-based profiling of circulating platelets

Coronary artery disease (CAD) is a leading cause of death globally. Antiplatelet therapy remains crucial in preventing and treating CAD-associated thrombotic complications, but it concurrently amplifies the risk of bleeding. Unfortunately, traditional platelet function measurement methods cannot directly evaluate its efficacy and safety. Here we demonstrate comprehensive image-based profiling of circulating platelets to directly observe thrombotic conditions and assess antiplatelet therapy in CAD patients. Deep learning-based analysis of whole blood samples from 207 CAD patients revealed elevated concentrations of circulating platelet aggregates, especially in acute versus chronic coronary syndrome patients. It also indicated a regimen-dependent reduction in these concentrations upon treatment with antiplatelet drugs, thereby verifying the direct efficacy of the therapy. Notably, consistent concentrations of these aggregates were found in both venous and arterial blood, suggesting venous blood as a reliable therapy efficacy indicator, despite CAD's arterial nature. These findings support personalized and improved antiplatelet therapy in CAD management.

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Publication Details

Journal
Nature Communications
Published
2025-05-15
DOI
https://doi.org/10.1038/s41467-025-59664-8
Citations
5
Primary Topic
Coronary Interventions and Diagnostics
Type
article
Field-Weighted Citation Impact
10.03

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article

Direct evaluation of antiplatelet therapy in coronary artery disease by comprehensive image-based profiling of circulating platelets

Norihiko Takeda, Keisuke Goda, Yunjie Deng, Norifumi Takeda et al.
5 citations
Nature Communications
Coronary Interventions and Diagnostics
10.03
article

Direct evaluation of antiplatelet therapy in coronary artery disease by comprehensive image-based profiling of circulating platelets

Norihiko Takeda, Keisuke Goda, Yunjie Deng, Norifumi Takeda, Junichi Ishida, Yuma Ibayashi, Masako Nishikawa, Ruoxi Yang, Nao Nitta, Junyu Chen, Yuqi Zhou, Kazutoshi Hirose, Cheng Kong, Hongqian Zhang, Yutaka Yatomi, Satoshi Kodera, Hiroshi Kanno, Makoto Kurano, Masataka Sato, Chenqi Zhang, Huidong Wang, Takeaki Sugimura, Shun Minatsuki, Jun Akita
article en
5 citations

Abstract

Coronary artery disease (CAD) is a leading cause of death globally. Antiplatelet therapy remains crucial in preventing and treating CAD-associated thrombotic complications, but it concurrently amplifies the risk of bleeding. Unfortunately, traditional platelet function measurement methods cannot directly evaluate its efficacy and safety. Here we demonstrate comprehensive image-based profiling of circulating platelets to directly observe thrombotic conditions and assess antiplatelet therapy in CAD patients. Deep learning-based analysis of whole blood samples from 207 CAD patients revealed elevated concentrations of circulating platelet aggregates, especially in acute versus chronic coronary syndrome patients. It also indicated a regimen-dependent reduction in these concentrations upon treatment with antiplatelet drugs, thereby verifying the direct efficacy of the therapy. Notably, consistent concentrations of these aggregates were found in both venous and arterial blood, suggesting venous blood as a reliable therapy efficacy indicator, despite CAD's arterial nature. These findings support personalized and improved antiplatelet therapy in CAD management.

Nature CommunicationsVol. 16(1)
Tokyo University of Science (JP), University of California, Los Angeles (US), Tohoku University (JP), CYBO (Japan) (JP), Hubei University of Technology (CN), The University of Tokyo (JP), International University of Health and Welfare (JP)
Japan Agency for Medical Research and Development, Nakatani Foundation for Advancement of Measuring Technologies in Biomedical Engineering, Japan Society for the Promotion of Science
Good health and well-being
Openalex Percentile: Top 2%
Coronary Interventions and Diagnostics
10.03
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