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Ion mobility-based sterolomics reveals spatially and temporally distinctive sterol lipids in the mouse brain

Author

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  • Tongzhou Li

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

  • Yandong Yin

    (Chinese Academy of Sciences)

  • Zhiwei Zhou

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

  • Jiaqian Qiu

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

  • Wenbin Liu

    (Chinese Academy of Sciences)

  • Xueting Zhang

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

  • Kaiwen He

    (Chinese Academy of Sciences)

  • Yuping Cai

    (Chinese Academy of Sciences)

  • Zheng-Jiang Zhu

    (Chinese Academy of Sciences)

Abstract

Aberrant sterol lipid metabolism is associated with physiological dysfunctions in the aging brain and aging-dependent disorders such as neurodegenerative diseases. There is an unmet demand to comprehensively profile sterol lipids spatially and temporally in different brain regions during aging. Here, we develop an ion mobility-mass spectrometry based four-dimensional sterolomics technology leveraged by a machine learning-empowered high-coverage library (>2000 sterol lipids) for accurate identification. We apply this four-dimensional technology to profile the spatially resolved landscapes of sterol lipids in ten functional regions of the mouse brain, and quantitatively uncover ~200 sterol lipids uniquely distributed in specific regions with concentrations spanning up to 8 orders of magnitude. Further spatial analysis pinpoints age-associated differences in region-specific sterol lipid metabolism, revealing changes in the numbers of altered sterol lipids, concentration variations, and age-dependent coregulation networks. These findings will contribute to our understanding of abnormal sterol lipid metabolism and its role in brain diseases.

Suggested Citation

  • Tongzhou Li & Yandong Yin & Zhiwei Zhou & Jiaqian Qiu & Wenbin Liu & Xueting Zhang & Kaiwen He & Yuping Cai & Zheng-Jiang Zhu, 2021. "Ion mobility-based sterolomics reveals spatially and temporally distinctive sterol lipids in the mouse brain," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
    • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-24672-x
    DOI: 10.1038/s41467-021-24672-x
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    Cited by:

    1. Shuling Xu & Zhijun Zhu & Daniel G. Delafield & Michael J. Rigby & Gaoyuan Lu & Megan Braun & Luigi Puglielli & Lingjun Li, 2024. "Spatially and temporally probing distinctive glycerophospholipid alterations in Alzheimer’s disease mouse brain via high-resolution ion mobility-enabled sn-position resolved lipidomics," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
    2. Tian Xia & Feng Zhou & Donghui Zhang & Xue Jin & Hengxue Shi & Hang Yin & Yanqing Gong & Yu Xia, 2023. "Deep-profiling of phospholipidome via rapid orthogonal separations and isomer-resolved mass spectrometry," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    3. Mingdu Luo & Yandong Yin & Zhiwei Zhou & Haosong Zhang & Xi Chen & Hongmiao Wang & Zheng-Jiang Zhu, 2023. "A mass spectrum-oriented computational method for ion mobility-resolved untargeted metabolomics," Nature Communications, Nature, vol. 14(1), pages 1-15, December.

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