Literature DB >> 33558482

Dynamically remodeled hepatic extracellular matrix predicts prognosis of early-stage cirrhosis.

Yuexin Wu1,2, Yuyan Cao1,2, Keren Xu2,3, Yue Zhu1,2, Yuemei Qiao1, Yanjun Wu1, Jianfeng Chen1,4, Chen Li5,6, Rong Zeng7,8,9, Gaoxiang Ge10,11.   

Abstract

Liver cirrhosis remains major health problem. Despite the progress in diagnosis of asymptomatic early-stage cirrhosis, prognostic biomarkers are needed to identify cirrhotic patients at high risk developing advanced stage disease. Liver cirrhosis is the result of deregulated wound healing and is featured by aberrant extracellular matrix (ECM) remodeling. However, it is not comprehensively understood how ECM is dynamically remodeled in the progressive development of liver cirrhosis. It is yet unknown whether ECM signature is of predictive value in determining prognosis of early-stage liver cirrhosis. In this study, we systematically analyzed proteomics of decellularized hepatic matrix and identified four unique clusters of ECM proteins at tissue damage/inflammation, transitional ECM remodeling or fibrogenesis stage in carbon tetrachloride-induced liver fibrosis. In particular, basement membrane (BM) was heavily deposited at the fibrogenesis stage. BM component minor type IV collagen α5 chain expression was increased in activated hepatic stellate cells. Knockout of minor type IV collagen α5 chain ameliorated liver fibrosis by hampering hepatic stellate cell activation and promoting hepatocyte proliferation. ECM signatures were differentially enriched in the biopsies of good and poor prognosis early-stage liver cirrhosis patients. Clusters of ECM proteins responsible for homeostatic remodeling and tissue fibrogenesis, as well as basement membrane signature were significantly associated with disease progression and patient survival. In particular, a 14-gene signature consisting of basement membrane proteins is potent in predicting disease progression and patient survival. Thus, the ECM signatures are potential prognostic biomarkers to identify cirrhotic patients at high risk developing advanced stage disease.

Entities:  

Year:  2021        PMID: 33558482      PMCID: PMC7870969          DOI: 10.1038/s41419-021-03443-y

Source DB:  PubMed          Journal:  Cell Death Dis            Impact factor:   8.469


  69 in total

Review 1.  Proteomic definitions of basement membrane composition in health and disease.

Authors:  Michael J Randles; Martin J Humphries; Rachel Lennon
Journal:  Matrix Biol       Date:  2016-08-20       Impact factor: 11.583

2.  LECT2, a Ligand for Tie1, Plays a Crucial Role in Liver Fibrogenesis.

Authors:  Meng Xu; Hong-Hai Xu; Yuan Lin; Xiangnan Sun; Li-Jing Wang; Zhe-Ping Fang; Xue-Han Su; Xiang-Jing Liang; Yang Hu; Zhi-Min Liu; Yuanxiong Cheng; Yuanyuan Wei; Jiabin Li; Li Li; Hong-Juan Liu; Zhiqiang Cheng; Na Tang; Chao Peng; Tingting Li; Tengfei Liu; Liang Qiao; Dalei Wu; Yan-Qing Ding; Wei-Jie Zhou
Journal:  Cell       Date:  2019-08-29       Impact factor: 41.582

3.  Deposition of cellular fibronectin increases before stellate cell activation in rat liver during ethanol feeding.

Authors:  S E Gillis; L E Nagy
Journal:  Alcohol Clin Exp Res       Date:  1997-08       Impact factor: 3.455

4.  Cancer-Associated Fibroblasts Regulate Tumor-Initiating Cell Plasticity in Hepatocellular Carcinoma through c-Met/FRA1/HEY1 Signaling.

Authors:  Eunice Yuen Ting Lau; Jessica Lo; Bowie Yik Ling Cheng; Mark Kin Fai Ma; Joyce Man Fong Lee; Johnson Kai Yu Ng; Stella Chai; Chi Ho Lin; Suk Ying Tsang; Stephanie Ma; Irene Oi Lin Ng; Terence Kin Wah Lee
Journal:  Cell Rep       Date:  2016-04-28       Impact factor: 9.423

5.  Proteomics identifies a convergent innate response to infective endocarditis and extensive proteolysis in vegetation components.

Authors:  Daniel R Martin; James C Witten; Carmela D Tan; E Rene Rodriguez; Eugene H Blackstone; Gosta B Pettersson; Deborah E Seifert; Belinda B Willard; Suneel S Apte
Journal:  JCI Insight       Date:  2020-07-23

Review 6.  Liver cirrhosis.

Authors:  Detlef Schuppan; Nezam H Afdhal
Journal:  Lancet       Date:  2008-03-08       Impact factor: 79.321

7.  The matrisome: in silico definition and in vivo characterization by proteomics of normal and tumor extracellular matrices.

Authors:  Alexandra Naba; Karl R Clauser; Sebastian Hoersch; Hui Liu; Steven A Carr; Richard O Hynes
Journal:  Mol Cell Proteomics       Date:  2011-12-09       Impact factor: 5.911

8.  Th-POK regulates mammary gland lactation through mTOR-SREBP pathway.

Authors:  Rui Zhang; Huimin Ma; Yuan Gao; Yanjun Wu; Yuemei Qiao; Ajun Geng; Cheguo Cai; Yingying Han; Yi Arial Zeng; Xiaolong Liu; Gaoxiang Ge
Journal:  PLoS Genet       Date:  2018-02-08       Impact factor: 5.917

9.  RPS3A positively regulates the mitochondrial function of human periaortic adipose tissue and is associated with coronary artery diseases.

Authors:  Yan Tang; Yi He; Chen Li; Wenjuan Mu; Ying Zou; Conghui Liu; Shuwen Qian; Fuchuang Zhang; Jiabao Pan; Yina Wang; Haiyan Huang; Dongning Pan; Pengyuan Yang; Ju Mei; Rong Zeng; Qi-Qun Tang
Journal:  Cell Discov       Date:  2018-08-21       Impact factor: 10.849

10.  GSVA: gene set variation analysis for microarray and RNA-seq data.

Authors:  Sonja Hänzelmann; Robert Castelo; Justin Guinney
Journal:  BMC Bioinformatics       Date:  2013-01-16       Impact factor: 3.169

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