Core reference ontology for individualized exercise prescription.

Journal: Scientific data
PMID: 39695140

Abstract

"Exercise is medicine" emphasizes personalized prescriptions for better efficacy. Current guidelines need more support for personalized prescriptions, posing scientific challenges. Facing those challenges, we gathered data from established guidelines, databases, and articles to develop the Exercise Medicine Ontology (EXMO), intending to offer comprehensive support for personalized exercise prescriptions. EXMO was constructed using the Ontology Development 101 methodology, incorporating Open Biological and Biomedical Ontology Foundry principles. EXMO v1.0 comprises 434 classes and 9,732 axioms, encompassing physical activity terms, health status terms, exercise prescription terms, and other related concepts. It has successfully undergone expert evaluation and consistency validation using the ELK and JFact reasoners. EXMO has the potential to provide a much-needed standard for individualized exercise prescription. Beyond prescription standardization, EXMO can also be an excellent tool for supporting databases and recommendation systems. In the future, it could serve as a valuable reference for developing sub-ontologies and facilitating the formation of an ontology network.

Authors

  • Xingyun Liu
    Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu 610212, Sichuan, China; Center for Systems Biology, Soochow University, Suzhou 215006, Jiangsu, China.
  • Yin Yang
    Liver Surgery and NHC Key Lab of Transplant Engineering and Immunology, Regenerative Medical Research Center, Department of Clinical Research Management, West China Hospital, Sichuan University, Chengdu 610041, China.
  • Hui Zong
    Research Center for Translational Medicine, Shanghai East Hospital, School of Life Sciences and Technology, Tongji University, Shanghai, China.
  • Ke Zhang
    Center for Radiation Oncology, Affiliated Hangzhou Cancer Hospital, Zhejiang University School of Medicine, Hangzhou 310001, China.
  • Min Jiang
    Eli Lilly and Company, Indianapolis, IN, United States.
  • Chunjiang Yu
    Center for Systems Biology, Soochow University, Suzhou, China; School of Biotechnology, Suzhou Industrial Park Institute of Services Outsourcing, China.
  • Yalan Chen
    Center for Systems Biology, Soochow University, Suzhou 215006, China.
  • Ting Bao
    Health Management Center, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, China.
  • Danting Li
    Health Management Center, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, China.
  • Jiao Wang
    Key Lab of Cell Differentiation and Apoptosis of Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Tong Tang
    Institutes for Systems Genetics, Frontiers Science Centre for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu 610041, China.
  • Shumin Ren
    Institutes for Systems Genetics, Frontiers Science Centre for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu 610041, China.
  • Juan M Ruso
    Soft Matter and Molecular Biophysics Group, Department of Applied Physics and Institute of Materials (iMATUS), University of Santiago de Compostela, Santiago de Compostela, Spain. juanm.ruso@usc.es.
  • Bairong Shen
    Institute of Systems Genetics, Department of Critical Care Medicine, Frontiers Science Center for Disease-related Molecular Network, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu 610000, China.

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