XIA Kunjie, XIANG Yan, CHEN Shuqin, DENG Yun. Research on mechanism of action of astragaloside Ⅳ in preventing obesity-induced hypertension[J]. Journal of Clinical Medicine in Practice, 2021, 25(19): 66-73. DOI: 10.7619/jcmp.20211222
Citation: XIA Kunjie, XIANG Yan, CHEN Shuqin, DENG Yun. Research on mechanism of action of astragaloside Ⅳ in preventing obesity-induced hypertension[J]. Journal of Clinical Medicine in Practice, 2021, 25(19): 66-73. DOI: 10.7619/jcmp.20211222

Research on mechanism of action of astragaloside Ⅳ in preventing obesity-induced hypertension

More Information
  • Received Date: March 21, 2021
  • Available Online: October 27, 2021
  • Published Date: October 14, 2021
  •   Objective  To investigate the mechanism of astragaloside Ⅳ (As Ⅳ) in preventing obesity-induced hypertension by improving inflammatory response and leptin resistance.
      Methods  A total of 35 male Wistar rats were divided into normal fat feed group (NC group, n=10) and high fat feed group (n=25). After 16 weeks, the obese rats were randomly divided into control group (n=6), As Ⅳ group (n=6), and As Ⅳ+α-bungaratoxin (As Ⅳ+α-BGT, n=6). Weight, blood pressure, plasma and renal norepinephrine (NE) levels were measured before and after intervention in each group. The levels of leptin receptor (LepRb), phosphorylation signal converter and transcription activator -3 (p-STAT3), phosphorylated phosphatidylinositol 3-kinase (p-PI3K), cytokine signal suppressor (SOCS3), tyrosine phosphatase (PTP1B), corticotropin (POMC) and neuropeptide Y (NPY) in the hypothalamus of each group were detected by Western blot or Quantitative real-time polymerase chain reaction (RT-qPCR). Levels of α7 nicotinic acetylcholine receptor (α7nAChR), inhibitor of nuclear factor κB kinase subunit β/nuclear factor κB (IKKβ/NF-KB) and pro-inflammatory cytokines[interleukin-1 β (IL-1β) and tumor necrosis factor-α (TNF-α)] were detected in hypothalamus and adipose tissue in each group.
      Results  Compared with the control group, glucose intolerance and homeostasis model assessment of insulin resistance (HOMA-IR) were improved, triglyceride (TG) and total cholesterol (TC) levels were decreased in the As Ⅳ group after intervention (P < 0.05). After 6 weeks of continuous intervention, the levels of systolic blood pressure (SBP), diastolic blood pressure (DBP) and NE in plasma and kidney tissue were increased in the control group, while the levels of SBP, DBP and NE were decreased in the As Ⅳ group (P < 0.05). Compared with the NC group, plasma leptin level in control group increased, LepRb mRAN expression decreased, leptin signaling molecule p-STAT3 expression decreased, p-PI3K, SOCS3 mRNA and PTP1B mRNA expression increased (P < 0.05). However, the mRNA expressions of p-STAT3, LepRb and POMC increased in the As Ⅳ group, while the mRNA levels of p-PI3K, SOCS3 and PTP1B decreased. Compared with the control group, the expression of α7nAChR protein and mRNA in the As Ⅳ group increased, while the expression of p-IKK β and NF-KB protein and their mRNA decreased (P < 0.05). Compared with the As Ⅳ group, α7nAChR blocker α-BGT in the As Ⅳ+α-BGT group decreased the expression levels of α7nAChR mRNA and protein expression, and the protein levels of IKKβ mRNA, NF-KB mRNA, p-IKK β, NF-KB, IL-1β and TNF-α were increased (P < 0.05). Compared with the control group and As Ⅳ+α-BGT group, α7nAChR mRNA expression was increased and p-IKK β, NF-KB, IL-1β and TNF-α expression were decreased in the As Ⅳ group (P < 0.05).
      Conclusion  As Ⅳ can effectively prevent obesity-related hypertension by inhibiting inflammatory response and improving leptin resistance, and the improvement of As Ⅳ is closely related to the increased expression of α7nAChR.
  • [1]
    CHOBANIAN A V. Shattuck Lecture. The hypertension paradox-more uncontrolled disease despite improved therapy[J]. N Engl J Med, 2009, 361(9): 878-887. doi: 10.1056/NEJMsa0903829
    [2]
    JORDAN J, ENGELI S, BOSCHMANN M, et al. Hemodynamic and metabolic responses to valsartan and atenolol in obese hypertensⅣe patients[J]. J Hypertens, 2005, 23(12): 2313-2318. doi: 10.1097/01.hjh.0000188734.98463.82
    [3]
    李婧雯, 张晓卉, 尹新华. 肥胖相关高血压的研究进展[J]. 临床与病理杂志, 2020, 40(4): 1006-1011. https://www.cnki.com.cn/Article/CJFDTOTAL-WYSB202004033.htm
    [4]
    薛亚楠, 刘海涛, 王建波, 等. 防己黄芪汤对肥胖性高血压大鼠肾脏保护机制研究[J]. 辽宁中医药大学学报, 2021, 23(6): 28-31. https://www.cnki.com.cn/Article/CJFDTOTAL-LZXB202106008.htm
    [5]
    SUN J, CHEN X L, ZHENG J Y, et al. Astragaloside Ⅳ protects new born rats from anesthesia-induced apoptosis in the developing brain[J]. Exp Ther Med, 2016, 12(3): 1829-1835. doi: 10.3892/etm.2016.3519
    [6]
    刘华玲, 章小英, 叶建平. 肥胖相关脂肪因子与高血压的关系[J]. 中华高血压杂志, 2019, 27(1): 25-29. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGZ201901014.htm
    [7]
    马度芳. 疏肝运脾方治疗肥胖相关性高血压的自身前后对照研究及黄芪甲苷的作用机制[D]. 山东: 山东中医药大学, 2018.
    [8]
    ANDRADE I G A, DE SOUZA F I S, FONSECA F L A, et al. Selenium-related nutritional status in patients with common variable immunodeficiency: association with oxidatⅣe stress and atherosclerosis risk[J]. BMC Immunol, 2021, 22(1): 31. doi: 10.1186/s12865-021-00425-9
    [9]
    金永鑫, 李闯, 刘洁琳, 等. Mfn2基因SNP位点rs17037564与肥胖型高血压的相关性研究[J]. 心肺血管病杂志, 2018, 37(3): 244-247, 258. doi: 10.3969/j.issn.1007-5062.2018.03.017
    [10]
    李春艳, 陈志恒. 肥胖型高血压发病机制研究进展[J]. 中国医师杂志, 2017, 19(5): 798-801. doi: 10.3760/cma.j.issn.1008-1372.2017.05.052
    [11]
    孟宪卿, 姜月华, 吴赛, 等. 刺蒺藜通过瘦素介导的JAK2/STAT3通路对肥胖性高血压大鼠肾脏的影响[J]. 中草药, 2017, 48(3): 539-545. https://www.cnki.com.cn/Article/CJFDTOTAL-ZCYO201703019.htm
    [12]
    吴赛. 基于瘦素介导的下丘脑JAK2/STAT3通路探讨加味半夏白术天麻汤改善肥胖性高血压的机制研究[D]. 济南: 山东中医药大学, 2016.
    [13]
    张少君. 黄芪甲苷对肾血管性高血压大鼠主动脉内皮细胞线粒体损伤的保护研究[D]. 南京: 南京医科大学, 2014.
    [14]
    IBARS M, ARDID-RUIZ A, SUÁREZ M, et al. Proanthocyanidins potentiate hypothalamic leptin/STAT3 signalling and Pomc gene expression in rats with diet-induced obesity[J]. Int J Obes: Lond, 2017, 41(1): 129-136. doi: 10.1038/ijo.2016.169
    [15]
    陈刚, 王远化, 莫永彪. 姜黄素对游离脂肪酸诱导的neuro-2a神经细胞炎症反应的保护作用[J]. 热带医学杂志, 2019, 19(8): 983-986. doi: 10.3969/j.issn.1672-3619.2019.08.011
  • Related Articles

    [1]WANG Wang, ZHAO Han. Construction of a nomogram prediction model for catheter-related bloodstream infections in hemodialysis patients with chronic renal failure[J]. Journal of Clinical Medicine in Practice, 2024, 28(18): 95-100. DOI: 10.7619/jcmp.20240464
    [2]ZHU Huayuan, ZHANG Yajuan, SUN Qian, HUANG Yan, YANG Bingyin. Establishment of a Nomogram prediction model for chronic constipation patients based on body position exercise training[J]. Journal of Clinical Medicine in Practice, 2024, 28(17): 109-113. DOI: 10.7619/jcmp.20241488
    [3]REN Weiwei, WANG Chao, MENG Junhua, XU Suhong. Establishment and validation of an individualized risk prediction nomogram model for gestational diabetes mellitus in pregnant women with hypothyroidism[J]. Journal of Clinical Medicine in Practice, 2024, 28(16): 93-97. DOI: 10.7619/jcmp.20234265
    [4]WU Mei, WANG Sisi. Influencing factors of lactational insufficiency at 72 hours postpartum and construction of nomogram model[J]. Journal of Clinical Medicine in Practice, 2024, 28(4): 61-65, 69. DOI: 10.7619/jcmp.20233011
    [5]WANG Yongxia, CHEN Xiao, LI Mei, JIANG Lijun, DING Hui. Influencing factors of dwarfism in children and construction of the nomogram model[J]. Journal of Clinical Medicine in Practice, 2024, 28(2): 92-95. DOI: 10.7619/jcmp.20232434
    [6]LIU Panpan, CHEN Yongxue, LI Wei, HOU Junde, ZHAO Guangping, CHENG Shaofei, WANG Zhigang. Risk factors and prediction models of acute pain in elderly patients with knee osteoarthritis after surgery[J]. Journal of Clinical Medicine in Practice, 2023, 27(6): 76-80. DOI: 10.7619/jcmp.20222461
    [7]FENG Chong, SONG Jingzhe, KONG Xiang, XU Qian, LIU Lizhuo, LU Yang. Establishment of nomogram model for postpartum hemorrhage in delivery puerperas with uterine scar undergoing re-cesarean section[J]. Journal of Clinical Medicine in Practice, 2022, 26(14): 92-96. DOI: 10.7619/jcmp.20220419
    [8]DONG Yanping, WANG Jiemin, WANG Yujin, REN Yali, DONG Yucheng, YONG Yanjun, SU Xuandi, WANG Jixiang, SU Nan, WANG Fuli, XIA Duosheng. Construction and evaluation of Nomogram prediction model for postoperative recurrence of pterygium[J]. Journal of Clinical Medicine in Practice, 2022, 26(7): 52-56. DOI: 10.7619/jcmp.20214610
    [9]HU Tingting, GUO Qiu, TANG Weiwei, YANG Huan, LIU Guijun. A Nomogram model establishment for noscomial infection in elderly patients with hypertension and diabetes mellitus[J]. Journal of Clinical Medicine in Practice, 2021, 25(5): 55-60. DOI: 10.7619/jcmp.20210055
    [10]ZHANG Zhen, ZHANG Hengzhu, LI Yuping, YAN Zhengcun, DONG Lun, WANG Xiaodong, WANG Xingdong. Relationship between systemic inflammation response index and symptomatic cerebral vasospasm after aneurismal subarachnoid hemorrhage as well as construction of a Nomogram predictive model[J]. Journal of Clinical Medicine in Practice, 2020, 24(10): 36-40. DOI: 10.7619/jcmp.202010009

Catalog

    Article views (253) PDF downloads (11) Cited by()

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return