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Integrated landscape of plasma metabolism and proteome of patients with post-traumatic deep vein thrombosis

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Listed:
  • Kun Zhang

    (Xi’an Jiaotong University
    Xi’an Jiaotong University
    Xi’an Jiaotong University)

  • Pengfei Wang

    (Xi’an Jiaotong University)

  • Wei Huang

    (Xi’an Jiaotong University
    Xi’an Jiaotong University
    Xi’an Jiaotong University)

  • Shi-Hao Tang

    (Xi’an Jiaotong University
    Xi’an Jiaotong University)

  • Hanzhong Xue

    (Xi’an Jiaotong University)

  • Hao Wu

    (Xi’an Jiaotong University
    Xi’an Jiaotong University)

  • Ying Zhang

    (Xi’an Jiaotong University)

  • Yu Rong

    (Xi’an Jiaotong University
    Xi’an Jiaotong University)

  • Shan-Shan Dong

    (Xi’an Jiaotong University
    Xi’an Jiaotong University)

  • Jia-Bin Chen

    (Xi’an Jiaotong University)

  • Yan Zou

    (Xi’an Jiaotong University
    Xi’an Jiaotong University)

  • Ding Tian

    (Xi’an Jiaotong University)

  • Na Yang

    (Xi’an Jiaotong University)

  • Yifan Liang

    (Xi’an Jiaotong University)

  • Chungui Liu

    (Xi’an Jiaotong University)

  • Dongyang Li

    (Xi’an Jiaotong University)

  • Kun Zhang

    (Xi’an Jiaotong University)

  • Tie-Lin Yang

    (Xi’an Jiaotong University
    Xi’an Jiaotong University)

  • Yan Guo

    (Xi’an Jiaotong University
    Xi’an Jiaotong University
    Xi’an Jiaotong University)

Abstract

Deep vein thrombosis (DVT) is a leading cause of morbidity and mortality after trauma. Here, we integrate plasma metabolomics and proteomics to evaluate the metabolic alterations and their function in up to 680 individuals with and without DVT after trauma (pt-DVT). We identify 28 metabolites and 2 clinical parameter clusters associated with pt-DVT. Then, we develop a panel of 9 metabolites (hexadecanedioic acid, pyruvic acid, L-Carnitine, serotonin, PE(P-18:1(11Z)/18:2(9Z,12Z)), 3-Hydroxycapric acid, 5,6-DHET, 3-Methoxybenzenepropanoic acid and pentanenitrile) that can predict pt-DVT with high performance, which can be verified in an independent cohort. Furthermore, the integration analysis of metabolomics and proteomics data indicates that the upregulation of glycolysis/gluconeogenesis-TCA cycle may promote thrombosis by regulating ROS levels in red blood cells, suggesting that interfering with this process might be potential therapeutic strategies for pt-DVT. Together, our study comprehensively delineates the metabolic and hematological dysregulations for pt-DVT, and provides potential biomarkers for early detection.

Suggested Citation

  • Kun Zhang & Pengfei Wang & Wei Huang & Shi-Hao Tang & Hanzhong Xue & Hao Wu & Ying Zhang & Yu Rong & Shan-Shan Dong & Jia-Bin Chen & Yan Zou & Ding Tian & Na Yang & Yifan Liang & Chungui Liu & Dongyan, 2024. "Integrated landscape of plasma metabolism and proteome of patients with post-traumatic deep vein thrombosis," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-52262-0
    DOI: 10.1038/s41467-024-52262-0
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    References listed on IDEAS

    as
    1. Junru Wu & Anthony Cyr & Danielle S. Gruen & Tyler C. Lovelace & Panayiotis V. Benos & Jishnu Das & Upendra K. Kar & Tianmeng Chen & Francis X. Guyette & Mark H. Yazer & Brian J. Daley & Richard S. Mi, 2022. "Lipidomic signatures align with inflammatory patterns and outcomes in critical illness," Nature Communications, Nature, vol. 13(1), pages 1-18, December.
    2. Manoj Arra & Gaurav Swarnkar & Ke Ke & Jesse E. Otero & Jun Ying & Xin Duan & Takashi Maruyama & Muhammad Farooq Rai & Regis J. O’Keefe & Gabriel Mbalaviele & Jie Shen & Yousef Abu-Amer, 2020. "LDHA-mediated ROS generation in chondrocytes is a potential therapeutic target for osteoarthritis," Nature Communications, Nature, vol. 11(1), pages 1-16, December.
    3. Giulia Franciosa & Jos G. A. Smits & Sonia Minuzzo & Ana Martinez-Val & Stefano Indraccolo & Jesper V. Olsen, 2021. "Proteomics of resistance to Notch1 inhibition in acute lymphoblastic leukemia reveals targetable kinase signatures," Nature Communications, Nature, vol. 12(1), pages 1-19, December.
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