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Global stable-isotope tracing metabolomics reveals system-wide metabolic alternations in aging Drosophila

Author

Listed:
  • Ruohong Wang

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Yandong Yin

    (Chinese Academy of Sciences)

  • Jingshu Li

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Hongmiao Wang

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Wanting Lv

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Yang Gao

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Tangci Wang

    (Chinese Academy of Sciences)

  • Yedan Zhong

    (Chinese Academy of Sciences)

  • Zhiwei Zhou

    (Chinese Academy of Sciences)

  • Yuping Cai

    (Chinese Academy of Sciences)

  • Xiaoyang Su

    (Rutgers University
    Rutgers University)

  • Nan Liu

    (Chinese Academy of Sciences)

  • Zheng-Jiang Zhu

    (Chinese Academy of Sciences)

Abstract

System-wide metabolic homeostasis is crucial for maintaining physiological functions of living organisms. Stable-isotope tracing metabolomics allows to unravel metabolic activity quantitatively by measuring the isotopically labeled metabolites, but has been largely restricted by coverage. Delineating system-wide metabolic homeostasis at the whole-organism level remains challenging. Here, we develop a global isotope tracing metabolomics technology to measure labeled metabolites with a metabolome-wide coverage. Using Drosophila as an aging model organism, we probe the in vivo tracing kinetics with quantitative information on labeling patterns, extents and rates on a metabolome-wide scale. We curate a system-wide metabolic network to characterize metabolic homeostasis and disclose a system-wide loss of metabolic coordinations that impacts both intra- and inter-tissue metabolic homeostasis significantly during Drosophila aging. Importantly, we reveal an unappreciated metabolic diversion from glycolysis to serine metabolism and purine metabolism as Drosophila aging. The developed technology facilitates a system-level understanding of metabolic regulation in living organisms.

Suggested Citation

  • Ruohong Wang & Yandong Yin & Jingshu Li & Hongmiao Wang & Wanting Lv & Yang Gao & Tangci Wang & Yedan Zhong & Zhiwei Zhou & Yuping Cai & Xiaoyang Su & Nan Liu & Zheng-Jiang Zhu, 2022. "Global stable-isotope tracing metabolomics reveals system-wide metabolic alternations in aging Drosophila," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-31268-6
    DOI: 10.1038/s41467-022-31268-6
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    References listed on IDEAS

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