Effects of moderate intensity exercise on liver metabolism in mice based on multi-omics analysis

被引:0
|
作者
Wang, Fang [1 ]
Wu, Wanyu [1 ]
He, Xuejia [1 ,2 ]
Qian, Ping [3 ]
Chang, Jiahui [1 ,4 ]
Lu, Zhaoxu [1 ]
Guo, Jin [1 ]
Bao, Yihua [1 ]
Guan, Hongyan [5 ]
Zhang, Ting [1 ]
机构
[1] Capital Inst Pediat, Beijing Municipal Key Lab Child Dev & Nutri, 2 Yabao Rd, Beijing 100020, Peoples R China
[2] Peking Univ Teaching Hosp, Capital Inst Pediat, Beijing, Peoples R China
[3] Capital Inst Pediat, Dept Internal Med, Children Hosp, Beijing, Peoples R China
[4] Chinese Acad Med Sci & Peking Union Med Coll, Childrens Hosp, Capital Inst Pediat, Beijing, Peoples R China
[5] Capital Inst Pediat, Nurturing Care Res & Guidance Ctr, Beijing Municipal Key Lab Child Dev & Nutri, 2 Yabao Rd, Beijing 100020, Peoples R China
来源
SCIENTIFIC REPORTS | 2024年 / 14卷 / 01期
基金
中国国家自然科学基金;
关键词
Chronic exercise; Lactylation; Multi-omics; Proteome; Metabolome; Liver; PHYSICAL-EXERCISE; GENE-EXPRESSION;
D O I
10.1038/s41598-024-82150-y
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Physical exercise is beneficial to keep physical and mental health. The molecular mechanisms underlying exercise are still worth exploring. The healthy adult mice after six weeks of moderate-intensity exercise (experimental group) and sedentary mice (control group) were used to perform transcriptomic, proteomic, lactylation modification, and metabolomics analysis. In addition, gene sets related to hypoxia, glycolysis, and fatty acid metabolism were used to aid in the screening of hub genes. The mMCP-counter was employed to evaluate infiltration of immune cells in murine liver tissues. Transcriptomics analysis revealed 82 intersection genes related to hypoxia, glycolysis, and fatty acid metabolism. Proteomics and lactylation modification analysis identified 577 proteins and 141 differentially lactylation modification proteins. By overlapping 82 intersection genes with 577 differentially expressed proteins and 141 differentially lactylation modification proteins, three hub genes (Aldoa, Acsl1, and Hadhb) were obtained. The immune infiltration analysis revealed a decreased score for monocytes/macrophages and an increased score for endothelial cells in the experimental group. Then, 459 metabolites in positive mode and 181 metabolites in negative mode were identified. The "Metabolic pathways" (mmu01100) was a common pathway between intersection genes-enriched pathways and metabolites-enriched pathways. These findings highlight the pivotal roles of hub genes in the glycolysis and fatty acid metabolism under the context of chronic exercise.
引用
收藏
页数:13
相关论文
共 50 条
  • [21] Multi-omics analysis of aggregative multicellularity
    Edelbroek, Bart
    Westholm, Jakub Orzechowski
    Bergquist, Jonas
    Soderbom, Fredrik
    ISCIENCE, 2024, 27 (09)
  • [22] Multi-Omics Factor Analysis-a framework for unsupervised integration of multi-omics data sets
    Argelaguet, Ricard
    Velten, Britta
    Arnol, Damien
    Dietrich, Sascha
    Zenz, Thorsten
    Marioni, John C.
    Buettner, Florian
    Huber, Wolfgang
    Stegle, Oliver
    MOLECULAR SYSTEMS BIOLOGY, 2018, 14 (06)
  • [23] Visual analysis of multi-omics data
    Swart, Austin
    Caspi, Ron
    Paley, Suzanne
    Karp, Peter D.
    FRONTIERS IN BIOINFORMATICS, 2024, 4
  • [24] Determination of the Effects of Duodenal Infusion Soy Protein Hydrolysate on Hepatic Glucose and Lipid Metabolism in Pigs Through Multi-Omics Analysis
    Li, Zhongxin
    Ding, Liren
    Zhu, Weiyun
    Hang, Suqin
    FRONTIERS IN NUTRITION, 2022, 9
  • [25] Multi-omics analysis reveals metabolism of okadaic acid in gut lumen of rat
    Yang Liu
    Yang Lu
    Yu-Hu Jiao
    Da-Wei Li
    Hong-Ye Li
    Wei-Dong Yang
    Archives of Toxicology, 2022, 96 : 831 - 843
  • [26] Multi-omics analysis reveals metabolism of okadaic acid in gut lumen of rat
    Liu, Yang
    Lu, Yang
    Jiao, Yu-Hu
    Li, Da-Wei
    Li, Hong-Ye
    Yang, Wei-Dong
    ARCHIVES OF TOXICOLOGY, 2022, 96 (03) : 831 - 843
  • [27] In silico integrative analysis of multi-omics reveals regulatory layers for diurnal gene expression in mouse liver
    Jiang, Chunjie
    Liu, Panpan
    La, Cam Mong
    Guan, Dongyin
    FRONTIERS IN ENDOCRINOLOGY, 2022, 13
  • [28] Advance in Multi-omics Research Strategies on Cholesterol Metabolism in Psoriasis
    Guo, Youming
    Luo, Lingling
    Zhu, Jing
    Li, Chengrang
    INFLAMMATION, 2024, 47 (03) : 839 - 852
  • [29] A Customizable Analysis Flow in Integrative Multi-Omics
    Lancaster, Samuel M.
    Sanghi, Akshay
    Wu, Si
    Snyder, Michael P.
    BIOMOLECULES, 2020, 10 (12) : 1 - 15
  • [30] Multi-Omics Approaches and Radiation on Lipid Metabolism in Toothed Whales
    Senevirathna, Jayan D. M.
    Asakawa, Shuichi
    LIFE-BASEL, 2021, 11 (04):