A novel metabolomic aging score - better than conventional metrics in predicting short-term mortality.

Journal: Expert review of molecular diagnostics
Published Date: Jul 1, 2025

Abstract

INTRODUCTION: Accurate prediction of short-term mortality is crucial for optimizing clinical prognosis and providing treatment decisions. Conventional metrics, including physiological indicators, laboratory indexes and scoring systems, suffer from limitations in comprehensiveness, accuracy, and dynamism. In contrast, the metabolomic aging score, as an emerging biomarker, offers substantial promise in short-term mortality prediction.

Authors

  • Chong Liu
    * Department of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819, P. R. China.
  • Yinghong Dai
    Bioinformatics Centre, National Clinical Research Centre for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital, Central South University, Changsha, Hunan, China.
  • Xinxue Li
    Bioinformatics Centre, National Clinical Research Centre for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital, Central South University, Changsha, Hunan, China.
  • Tiantian Xu
    Guangdong Provincial Key Laboratory of Robotics and Intelligent System, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, People's Republic of China.
  • Jinchen Li
    HUB of Intelligent Neuro-Engineering (HUBIN), Aspire CREATe, DSIS, University College London, London, HA7 4LP, UK.
  • Guihu Zhao
    Bioinformatics Centre, National Clinical Research Centre for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital, Central South University, Changsha, Hunan, China.
  • Sijia Liu
    These authors contributed equally to this study and Dr. Li is now working at IBM; Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA; Department of Computer Science and Engineering, University at Buffalo, Buffalo, NY, USA.
  • Bin Li
    Department of Magnetic Resonance Imaging (MRI), Beijing Shijitan Hospital, Capital Medical University, Beijing, China.

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