Integration of Metabolomics and Transcriptomics to Reveal the Metabolic Characteristics of Exercise-Improved Bone Mass

被引:4
|
作者
Hou, Jin-Li [1 ]
Yang, Wan-Yu [1 ]
Zhang, Qiong [1 ]
Feng, Hao [1 ]
Wang, Xiao-Bao [1 ]
Li, Hui [1 ]
Zhou, Sheng [2 ]
Xiao, Su-Mei [1 ,3 ]
机构
[1] Sun Yat sen Univ, Sch Publ Hlth, Dept Epidemiol, Guangzhou 510080, Peoples R China
[2] South China Agr Univ, Coll Marine Sci, Guangzhou 510642, Peoples R China
[3] Sun Yat sen Univ, Sch Publ Hlth, Guangdong Prov Key Lab Food Nutr & Hlth, Guangzhou 510080, Peoples R China
基金
中国国家自然科学基金;
关键词
bone mass; swimming training; zebrafish; metabolomics; transcriptomics; MINERAL DENSITY; RUNNING EXERCISE; ZEBRAFISH; OSTEOPOROSIS; INCREASES; WOMEN; MODEL;
D O I
10.3390/nu15071694
中图分类号
R15 [营养卫生、食品卫生]; TS201 [基础科学];
学科分类号
100403 ;
摘要
1) Background: Exercise is effective in promoting and maintaining bone mass. The aim of this study was to detect the exercise-induced metabolic changes in bone tissue of zebrafish. (2) Methods: Thirty-eight zebrafish (Danio rerio, six months old) were analyzed. The exercise group (n = 19) received 8 weeks of counter-current swimming training. The control group (n = 19) was not subjected to exercise. Mineralization was quantified, and alkaline phosphatase (Alp) and antitartrate acid phosphatase (Trap) activities were estimated (n = 12). The metabolomics (n = 12) and transcriptomics (n = 14) data of bone tissue were used for the integration analyses. (3) Results: The results showed that the exercise training improved the bone mineralization of zebrafish, e.g., the exercise group (5.74 x 10(4) +/- 7.63 +/- 10(3)) had a higher mean optical density than the control group (5.26 x 10(4) +/- 8.56 +/- 10(3), p = 0.046) for the caudal vertebrae. The amount of mineralized matrix in scales of the exercised zebrafish was also higher (0.156 +/- 0.012 vs. 0.102 +/- 0.003, p = 0.005). Both histological staining and biochemical analysis revealed increased Alp activity (0.81 +/- 0.26 vs. 0.76 +/- 0.01, p = 0.002) and decreased Trap activity (1.34 +/- 0.01 vs. 1.36 +/- 0.01, p = 0.005) in the exercise group. A total of 103 different metabolites (DMs, VIP >= 1, fold change (FC) >= 1.20 or <= 0.83, p < 0.050) were identified. Alanine, aspartate and glutamate metabolism, fi-alanine metabolism, pyrimidine metabolism, and pantothenate and CoA biosynthesis were the significantly enriched metabolic pathways (p < 0.050). A total of 35 genes (q <= 0.050 (BH), |Log2FC| >= 0.5) were coenriched with the 103 DMs in the four identified pathways. Protein-protein interaction network analysis of the 35 genes showed that entpd3, entpd1, and cmpk2 were the core genes. (4) Conclusions: The results of this study suggest that alanine, aspartate and glutamate metabolism, fi-alanine metabolism, pyrimidine metabolism, and pantothenate and CoA biosynthesis contributed to exercise-induced improvements in bone mass.
引用
收藏
页数:20
相关论文
共 50 条
  • [41] Elucidation of metabolic responses in mud crab Scylla paramamosain challenged to WSSV infection by integration of metabolomics and transcriptomics
    Kong, Tongtong
    Ren, Xin
    Lin, Shanmeng
    Li, Shengkang
    Gong, Yi
    DEVELOPMENTAL AND COMPARATIVE IMMUNOLOGY, 2020, 113
  • [42] Integration of transcriptomics and metabolomics profiling reveals the metabolic pathways affected in dictamnine-induced hepatotoxicity in mice
    Li, Zhuo-Qing
    Wang, Ling-Li
    Zhou, Jing
    Zheng, Xian
    Jiang, Yan
    Li, Ping
    Li, Hui-Jun
    JOURNAL OF PROTEOMICS, 2020, 213
  • [43] Integration of metabolomics and transcriptomics to reveal the mechanism of Gerberae piloselloidis herba in alleviating bronchial asthma (vol 355, 117852, 2024)
    Liu, Chunhua
    Fu, Changli
    Lu, Yuan
    Sun, Jia
    Liu, Ting
    Wang, Yonglin
    Wang, Aimin
    Huang, Yong
    Li, Yongjun
    JOURNAL OF ETHNOPHARMACOLOGY, 2025, 344
  • [44] Metabolomics combined with physiology and transcriptomics reveal key metabolic pathway responses in apple plants exposure to different selenium concentrations
    Liu, Chunling
    Zhou, Guangjin
    Qin, Hanhan
    Guan, Yafei
    Wang, Tianyu
    Ni, Wei
    Xie, Hongmei
    Xing, Yue
    Tian, Ge
    Lyu, Mengxue
    Liu, Jingquan
    Wang, Fen
    Xu, Xinxiang
    Zhu, Zhanling
    Jiang, Yuanmao
    Ge, Shunfeng
    Journal of Hazardous Materials, 2024, 464
  • [45] Metabolomics combined with physiology and transcriptomics reveal key metabolic pathway responses in apple plants exposure to different selenium concentrations
    Liu, Chunling
    Zhou, Guangjin
    Qin, Hanhan
    Guan, Yafei
    Wang, Tianyu
    Ni, Wei
    Xie, Hongmei
    Xing, Yue
    Tian, Ge
    Lyu, Mengxue
    Liu, Jingquan
    Wang, Fen
    Xu, Xinxiang
    Zhu, Zhanling
    Jiang, Yuanmao
    Ge, Shunfeng
    JOURNAL OF HAZARDOUS MATERIALS, 2024, 464
  • [46] Transcriptomics and metabolomics reveal the role of CYP1A2 in psoralen/isopsoralen-induced metabolic activation and hepatotoxicity
    Zhang, Cai
    Fan, Song
    Zhao, Jin-Quan
    Jiang, Yan
    Sun, Jia-Xing
    Li, Hui-Jun
    PHYTOTHERAPY RESEARCH, 2023, 37 (01) : 163 - 180
  • [47] Integration of metabolomics and transcriptomics for improved mechanism-based hazard characterization of drug-induced liver injury
    Zickgraf, F. M.
    Wijaya, L.
    de Boer, T.
    Budin, C.
    Moco, S.
    Garcia, V. Pozo
    Ternes, P.
    Giri, V.
    Gomes, C.
    van de Water, B.
    Kamp, H.
    Funk-Weyer, D.
    TOXICOLOGY LETTERS, 2024, 399 : S161 - S161
  • [48] Integration of metabolomics and transcriptomics to reveal potential biomarkers associated with treatment response of neoadjuvant therapy in HER2+breast cancer
    Zhang, N.
    Xiang, Y.
    Jing, Z.
    Yu, F.
    Zeng, J.
    Pan, X.
    Zhou, W.
    Liang, X.
    Yue, Y.
    Zhang, H.
    Deng, Y.
    Deng, S.
    Mo, S.
    Jiang, X.
    Zeng, X.
    ANNALS OF ONCOLOGY, 2023, 34 : S249 - S249
  • [49] Metabolomics assisted by transcriptomics analysis to reveal metabolic characteristics and potential biomarkers associated with treatment response of neoadjuvant therapy with TCbHP regimen in HER2+breast cancer
    Zhang, Ningning
    Huang, Yuxin
    Wang, Guanwen
    Xiang, Yimei
    Jing, Zhouhong
    Zeng, Junjie
    Yu, Feng
    Pan, Xianjun
    Zhou, Wenqi
    Zeng, Xiaohua
    BREAST CANCER RESEARCH, 2024, 26 (01)
  • [50] Integration of metabolomics and transcriptomics to Reveal Potential Biomarkers Associated with Treatment Response of Neoadjuvant Therapy in HER2+Breast Cancer
    Zhang, Ningning
    Huang, Yuxin
    Wang, Guanwen
    Xiang, Yimei
    Jing, Zhouhong
    Zeng, Junjie
    Yu, Feng
    Pan, Xianjun
    Zhou, Wenqi
    Zeng, Xiaohua
    CANCER RESEARCH, 2024, 84 (09)