基础医学与临床 ›› 2026, Vol. 46 ›› Issue (4): 484-490.doi: 10.16352/j.issn.1001-6325.2026.04.0484

• 研究论文 • 上一篇    下一篇

尿液蛋白质组学和代谢组学在慢性低氧模型小鼠中的动态变化

刘婷婷1, 何梦真1, 张玉雪1, 胡斯奇2, 李军2, 孙伟1*   

  1. 1.中国医学科学院北京协和医学院 基础医学研究所 药理系,北京 100005;
    2.中国人民解放军总医院第七医学中心 儿科研究所,北京 100010
  • 收稿日期:2025-08-12 修回日期:2025-12-30 出版日期:2026-04-05 发布日期:2026-03-24
  • 通讯作者: *sunwei@ibms.pumc.edu.cn
  • 基金资助:
    国家自然科学基金(82170524,31901039)

Dynamic changes of urinary proteomics and metabolomics in chronic hypoxia mouse model

LIU Tingting1, HE Mengzhen1, ZHANG Yuxue1, HU Siqi2, LI Jun2, SUN Wei1*   

  1. 1. Department of Pharmacology, Institute of Basic Medical Sciences,Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100005;
    2. Institute of Pediatrics, the Seventh Medical Center of Chinese PLA General Hospital, Beijing 100010, China
  • Received:2025-08-12 Revised:2025-12-30 Online:2026-04-05 Published:2026-03-24
  • Contact: *sunwei@ibms.pumc.edu.cn

摘要: 目的 检测慢性低氧模型小鼠尿液的代谢组与蛋白质组变化,并探索尿液蛋白质组与代谢组之间的关联。方法 选取6只C57BL/6J雄性小鼠置于氧气浓度为14%的氧气仓内,低氧时间为5周,每周收集小鼠的尿液,同时设置对照组,采用非靶向蛋白质组学和代谢组学技术对尿液样本进行动态分析。结果 与对照组相比,慢性低氧小鼠尿液中共有458个差异蛋白质和718个差异代谢物,这些蛋白质和差异代谢物的功能主要富集在糖酵解通路、溶酶体通路、胆固醇合成通路。蛋白质组和代谢组的联合分析表明,与差异代谢物相关性高的蛋白质主要富集在PI3K-ART、补体和凝血级联反应、细胞循环等通路。结论 尿液蛋白质组和代谢组可以反映慢性低氧刺激后的变化。

关键词: 慢性低氧, 尿液, 蛋白质组学, 代谢组学

Abstract: Objective To detect changes in the metabolome and proteome of urine in a mouse model of chronic hypoxia and to explore the correlation between the urinary proteome and metabolome. Methods Six C57BL/6J male mice were placed in an oxygen chamber with 14% oxygen concentration for 5 weeks of hypoxic exposure. Mouse urine was collected weekly with a control group established simultaneously. Non-targeted proteomics and metabolomics techniques were employed for dynamic analysis of urine samples. Results Compared to the control group, the urine of chronic hypoxia mice contained 458 differentially expressed proteins and 718 differential metabolites. These proteins and differential metabolites were functionally enriched primarily in glycolysis pathway, lysosomal pathway, and cholesterol synthesis pathway. Joint analysis of proteomics and metabolomics revealed that proteins with high correlation to differential metabolites were mainly enriched in PI3K-AKT, complement and coagulation cascades, and cell cycle pathways. Conclusions Urinary proteomics and metabolomics may reflect the changes induced by chronic hypoxic stimulation.

Key words: chronic hypoxia, urine, proteomics, metabolomics

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