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Deciphering age- and sex-specific patterns of coronary artery atherosclerosis from a large Chinese cohort

  • Xinnian Yang (Co-first Author)
  • , Jiayin Zhang (Co-first Author)
  • , Yanli Song
  • , Dengqiang Jia
  • , Qingqi Hong
  • , Yiqiang Zhan
  • , Xiang Sean Zhou
  • , Yining Dong
  • , Yining Wang*
  • , Dijia Wu*
  • , Dinggang Shen*
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

3 Downloads (CityUHK Scholars)

Abstract

Coronary artery disease poses a significant public health threat, and coronary computed tomography angiography is the preferred imaging modality for diagnosis and risk assessment of coronary artery disease through plaque evaluation. However, understandings of how atherosclerotic characteristics vary by age and sex remains limited due to challenges in manual quantitative plaque assessment. Here, we conducted a retrospective, consecutive, multi-center Chinese cohort study of 16,300 patients undergoing clinically indicated coronary computed tomography angiography that revealed multi-level quantitative patterns of atherosclerosis stratified by age and sex. We found that females experienced a delayed atherosclerosis onset by approximately 20 years compared to males, with plaque burden increasing nonlinearly with age and accelerating more evidently after menopause. The built coronary atlas identified plaque clusters, primarily within proximal segments of major coronary arteries, slightly upstream side branch bifurcations. Our findings provide deeper insights into coronary atherosclerosis in the Chinese population, supporting more tailored prevention strategies. © The Author(s) 2025.
Original languageEnglish
Article number10616
JournalNature Communications
Volume16
Online published22 Nov 2025
DOIs
Publication statusPublished - 2025

Funding

We gratefully acknowledge the support of Beijing Natural Science Foundation (No. Z210013) (Y.W., D.W.), National Key Research and Development Program of China (No. 2022YFE0209800) (D.W.), National Natural Science Foundation of China (Nos. U23A20295 (D.S.), 82441023 (D.S.), 62131015 (D.S.), 22322816 (Y.D.), 82471982 (J.Z.), 62471418 (Q.H.)), the InnoHK initiative of the Innovation and Technology Commission of the Hong Kong Special Administrative Region Government,\u00A0Shanghai Municipal Central Guided Local Science and Technology Development Fund (No. YDZX20233100001001) (D.S.), Key Project of Shanghai Municipal Education Commission (No. 2024AIZD017) (J.Z.), City University of Hong Kong Project (No. 9610640) (Y.D.), and HPC Platform of ShanghaiTech University (D.S.).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Publisher's Copyright Statement

  • This full text is made available under CC-BY-NC-ND 4.0. https://creativecommons.org/licenses/by-nc-nd/4.0/

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