echemi logo
Product
  • Product
  • Supplier
  • Inquiry
    Home > Biochemistry News > Biotechnology News > Latest study: Inhibition of kinase GCN2 improves liver lipid deposition in obese mice

    Latest study: Inhibition of kinase GCN2 improves liver lipid deposition in obese mice

    • Last Update: 2022-01-10
    • Source: Internet
    • Author: User
    Search more information of high quality chemicals, good prices and reliable suppliers, visit www.echemi.com

    With the rapid changes in life>29% .
    Nearly one-third of Chinese people suffer from non-alcoholic fatty liver
    .


    It is estimated that by 2030 , there will be as many as 300 million fatty liver patients in China , which will become the biggest burden in the prevention and control of chronic diseases .
    The further development of fatty liver can cause steatohepatitis, liver fibrosis, liver cirrhosis and liver cancer .
    Compared with the attention to diabetes and high blood pressure, non-alcoholic fatty liver is a major health threat that is seriously underestimated .
    2021 Nian 12 Yue 23 days, College of Life magazine Lu Zhongbing research group in the field of oxidative stress and free radicals authority Redox Biology Online published an article Title ldquo &; Inhibition of hepatic steatosis and GCN2 alleviates oxidative Stress in the MICE Obese: Involvement of NRF2 The research paper of regulation ” reveals the molecular mechanism of inhibiting the kinase GCN2 to improve liver lipid deposition and oxidative stress in obese mice


    This study first confirmed in cells and animal models that GCN2 can regulate NRF2, a key transcription factor against oxidative stress, in an expression- and activity-dependent manner
    .


    Co-immunoprecipitation and truncation experiments confirmed that GCN2 interacts with the Neh2 domain of NRF2 through its C- terminus to mediate the degradation of NRF2 in a KEAP1- dependent manner .


    Dr.


    Juntao Yuan, a postdoctoral fellow from the School of Life Sciences, is the first author of this paper, and students such as Yu Zhuoran and Gao Junling also made certain contributions


    https:// href="https://bio.


    ucas.
    ac.
    cn/images/2021/202112/131407_936681.


    This article is an English version of an article which is originally in the Chinese language on echemi.com and is provided for information purposes only. This website makes no representation or warranty of any kind, either expressed or implied, as to the accuracy, completeness ownership or reliability of the article or any translations thereof. If you have any concerns or complaints relating to the article, please send an email, providing a detailed description of the concern or complaint, to service@echemi.com. A staff member will contact you within 5 working days. Once verified, infringing content will be removed immediately.

    Contact Us

    The source of this page with content of products and services is from Internet, which doesn't represent ECHEMI's opinion. If you have any queries, please write to service@echemi.com. It will be replied within 5 days.

    Moreover, if you find any instances of plagiarism from the page, please send email to service@echemi.com with relevant evidence.