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LensAge index as a deep learning-based biological age for self-monitoring the risks of age-related diseases and mortality

Author

Listed:
  • Ruiyang Li

    (Guangdong Provincial Clinical Research Center for Ocular Diseases)

  • Wenben Chen

    (Guangdong Provincial Clinical Research Center for Ocular Diseases)

  • Mingyuan Li

    (Guangdong Provincial Clinical Research Center for Ocular Diseases)

  • Ruixin Wang

    (Guangdong Provincial Clinical Research Center for Ocular Diseases)

  • Lanqin Zhao

    (Guangdong Provincial Clinical Research Center for Ocular Diseases)

  • Yuanfan Lin

    (Guangdong Provincial Clinical Research Center for Ocular Diseases)

  • Xinwei Chen

    (Guangdong Provincial Clinical Research Center for Ocular Diseases)

  • Yuanjun Shang

    (Guangdong Provincial Clinical Research Center for Ocular Diseases)

  • Xueer Tu

    (Guangdong Provincial Clinical Research Center for Ocular Diseases)

  • Duoru Lin

    (Guangdong Provincial Clinical Research Center for Ocular Diseases)

  • Xiaohang Wu

    (Guangdong Provincial Clinical Research Center for Ocular Diseases)

  • Zhenzhe Lin

    (Guangdong Provincial Clinical Research Center for Ocular Diseases)

  • Andi Xu

    (Guangdong Provincial Clinical Research Center for Ocular Diseases)

  • Xun Wang

    (Guangdong Provincial Clinical Research Center for Ocular Diseases)

  • Dongni Wang

    (Guangdong Provincial Clinical Research Center for Ocular Diseases)

  • Xulin Zhang

    (Guangdong Provincial Clinical Research Center for Ocular Diseases)

  • Meimei Dongye

    (Guangdong Provincial Clinical Research Center for Ocular Diseases)

  • Yunjian Huang

    (Guangdong Provincial Clinical Research Center for Ocular Diseases)

  • Chuan Chen

    (University of Miami Miller School of Medicine)

  • Yi Zhu

    (University of Miami Miller School of Medicine)

  • Chunqiao Liu

    (Guangdong Provincial Clinical Research Center for Ocular Diseases)

  • Youjin Hu

    (Guangdong Provincial Clinical Research Center for Ocular Diseases)

  • Ling Zhao

    (Guangdong Provincial Clinical Research Center for Ocular Diseases)

  • Hong Ouyang

    (Guangdong Provincial Clinical Research Center for Ocular Diseases)

  • Miaoxin Li

    (Sun Yat-sen University
    Sun Yat-sen University)

  • Xuri Li

    (Guangdong Provincial Clinical Research Center for Ocular Diseases)

  • Haotian Lin

    (Guangdong Provincial Clinical Research Center for Ocular Diseases
    Sun Yat-sen University
    Sun Yat-sen University)

Abstract

Age is closely related to human health and disease risks. However, chronologically defined age often disagrees with biological age, primarily due to genetic and environmental variables. Identifying effective indicators for biological age in clinical practice and self-monitoring is important but currently lacking. The human lens accumulates age-related changes that are amenable to rapid and objective assessment. Here, using lens photographs from 20 to 96-year-olds, we develop LensAge to reflect lens aging via deep learning. LensAge is closely correlated with chronological age of relatively healthy individuals (R2 > 0.80, mean absolute errors of 4.25 to 4.82 years). Among the general population, we calculate the LensAge index by contrasting LensAge and chronological age to reflect the aging rate relative to peers. The LensAge index effectively reveals the risks of age-related eye and systemic disease occurrence, as well as all-cause mortality. It outperforms chronological age in reflecting age-related disease risks (p

Suggested Citation

  • Ruiyang Li & Wenben Chen & Mingyuan Li & Ruixin Wang & Lanqin Zhao & Yuanfan Lin & Xinwei Chen & Yuanjun Shang & Xueer Tu & Duoru Lin & Xiaohang Wu & Zhenzhe Lin & Andi Xu & Xun Wang & Dongni Wang & X, 2023. "LensAge index as a deep learning-based biological age for self-monitoring the risks of age-related diseases and mortality," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-42934-8
    DOI: 10.1038/s41467-023-42934-8
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    References listed on IDEAS

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    1. Marjolein J. Peters & Roby Joehanes & Luke C. Pilling & Claudia Schurmann & Karen N. Conneely & Joseph Powell & Eva Reinmaa & George L. Sutphin & Alexandra Zhernakova & Katharina Schramm & Yana A. Wil, 2015. "The transcriptional landscape of age in human peripheral blood," Nature Communications, Nature, vol. 6(1), pages 1-14, December.
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