Literature DB >> 33269546

Tgfb3 and Mmp13 regulated the initiation of liver fibrosis progression as dynamic network biomarkers.

Jinsheng Guo1, Weixin Liu2, Zhiping Zeng1, Jie Lin2, Xingxin Zhang1, Luonan Chen2,3,4.   

Abstract

Liver fibrogenesis is a complex scar-forming process in the liver. We suggested that the liver first responded to chronic injuries with gradual changes, then reached the critical state and ultimately resulted in cirrhosis rapidly. This study aimed to identify the tipping point and key molecules driving liver fibrosis progression. Mice model of liver fibrosis was induced by thioacetamide (TAA), and liver tissues were collected at different time-points post-TAA administration. By dynamic network biomarker (DNB) analysis on the time series of liver transcriptomes, the week 9 post-TAA treatment (pathologically relevant to bridging fibrosis) was identified as the tipping point just before the significant fibrosis transition, with 153 DNB genes as key driving factors. The DNB genes were functionally enriched in fibrosis-associated pathways, in particular, in the top-ranked DNB genes, Tgfb3 negatively regulated Mmp13 in the interaction path and they formed a bistable switching system from a dynamical perspective. In the in vitro study, Tgfb3 promoted fibrogenic genes and down-regulate Mmp13 gene transcription in an immortalized mouse HSC line JS1 and a human HSC line LX-2. The presence of a tipping point during liver fibrogenesis driven by DNB genes marks not only the initiation of significant fibrogenesis but also the repression of the scar resolution.
© 2020 The Authors. Journal of Cellular and Molecular Medicine published by Foundation for Cellular and Molecular Medicine and John Wiley & Sons Ltd.

Entities:  

Keywords:  dynamic network biomarkers; liver fibrosis; tipping point; transition

Mesh:

Substances:

Year:  2020        PMID: 33269546      PMCID: PMC7812286          DOI: 10.1111/jcmm.16140

Source DB:  PubMed          Journal:  J Cell Mol Med        ISSN: 1582-1838            Impact factor:   5.295


  60 in total

1.  Construction of a genetic toggle switch in Escherichia coli.

Authors:  T S Gardner; C R Cantor; J J Collins
Journal:  Nature       Date:  2000-01-20       Impact factor: 49.962

Review 2.  Transforming growth factor beta signaling mediators and modulators.

Authors:  C M Zimmerman; R W Padgett
Journal:  Gene       Date:  2000-05-16       Impact factor: 3.688

Review 3.  Network biology: understanding the cell's functional organization.

Authors:  Albert-László Barabási; Zoltán N Oltvai
Journal:  Nat Rev Genet       Date:  2004-02       Impact factor: 53.242

Review 4.  Integration of the TGF-beta pathway into the cellular signalling network.

Authors:  Marion Lutz; Petra Knaus
Journal:  Cell Signal       Date:  2002-12       Impact factor: 4.315

Review 5.  Early diagnosis of complex diseases by molecular biomarkers, network biomarkers, and dynamical network biomarkers.

Authors:  Rui Liu; Xiangdong Wang; Kazuyuki Aihara; Luonan Chen
Journal:  Med Res Rev       Date:  2013-06-17       Impact factor: 12.944

Review 6.  Tissue inhibitors of metalloproteinases, hepatic stellate cells and liver fibrosis.

Authors:  M J Arthur; D A Mann; J P Iredale
Journal:  J Gastroenterol Hepatol       Date:  1998-09       Impact factor: 4.029

7.  Sampling variability of liver fibrosis in chronic hepatitis C.

Authors:  Pierre Bedossa; Delphine Dargère; Valerie Paradis
Journal:  Hepatology       Date:  2003-12       Impact factor: 17.425

8.  A "traffic control" role for TGFbeta3: orchestrating dermal and epidermal cell motility during wound healing.

Authors:  Balaji Bandyopadhyay; Jianhua Fan; Shengxi Guan; Yong Li; Mei Chen; David T Woodley; Wei Li
Journal:  J Cell Biol       Date:  2006-03-20       Impact factor: 10.539

9.  AnimalTFDB 2.0: a resource for expression, prediction and functional study of animal transcription factors.

Authors:  Hong-Mei Zhang; Teng Liu; Chun-Jie Liu; Shuangyang Song; Xiantong Zhang; Wei Liu; Haibo Jia; Yu Xue; An-Yuan Guo
Journal:  Nucleic Acids Res       Date:  2014-09-27       Impact factor: 16.971

10.  Dysfunction of PLA2G6 and CYP2C44-associated network signals imminent carcinogenesis from chronic inflammation to hepatocellular carcinoma.

Authors:  Meiyi Li; Chen Li; Wei-Xin Liu; Conghui Liu; Jingru Cui; Qingrun Li; Hong Ni; Yingcheng Yang; Chaochao Wu; Chunlei Chen; Xing Zhen; Tao Zeng; Mujun Zhao; Lei Chen; Jiarui Wu; Rong Zeng; Luonan Chen
Journal:  J Mol Cell Biol       Date:  2017-12-01       Impact factor: 6.216

View more
  3 in total

1.  D-Carvone Attenuates CCl4-Induced Liver Fibrosis in Rats by Inhibiting Oxidative Stress and TGF-ß 1/SMAD3 Signaling Pathway.

Authors:  Hanan A Ogaly; Sharah A A Aldulmani; Fatimah A M Al-Zahrani; Reham M Abd-Elsalam
Journal:  Biology (Basel)       Date:  2022-05-12

2.  MicroRNA-497-5p Is Downregulated in Hepatocellular Carcinoma and Associated with Tumorigenesis and Poor Prognosis in Patients.

Authors:  Lin-Lin Tian; Bin Qian; Xiao-Hui Jiang; Yu-Shan Liu; Tong Chen; Cheng-You Jia; Ya-Li Zhou; Ji-Bin Liu; Yu-Shui Ma; Da Fu; Sen-Tai Ding
Journal:  Int J Genomics       Date:  2021-03-16       Impact factor: 2.326

3.  Tgfb3 and Mmp13 regulated the initiation of liver fibrosis progression as dynamic network biomarkers.

Authors:  Jinsheng Guo; Weixin Liu; Zhiping Zeng; Jie Lin; Xingxin Zhang; Luonan Chen
Journal:  J Cell Mol Med       Date:  2020-12-02       Impact factor: 5.295

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.