A novel non-invasive Golgi protein 73 (GP73)-based model accurately diagnoses significant fibrosis in chronic liver disease

被引:1
|
作者
Cao, Z. [1 ]
Li, Z. [1 ]
Liu, Y. [1 ]
Mo, R. [1 ]
Ren, P. [1 ]
Chen, L. [1 ]
Lu, J. [1 ]
Zhuang, Y. [1 ]
Liu, Y. [1 ]
Wang, X. [1 ]
Zhao, G. [1 ]
Tang, W. [1 ]
Xiang, X. [1 ]
Wang, H. [1 ]
Cai, W. [1 ]
Xie, Q. [1 ]
机构
[1] Shanghai Ruijin Hosp, Dept Infect Dis, Shanghai, Peoples R China
关键词
D O I
10.1016/S0168-8278(17)31825-1
中图分类号
R57 [消化系及腹部疾病];
学科分类号
摘要
SAT-504
引用
收藏
页码:S677 / S677
页数:1
相关论文
共 50 条
  • [21] Validation of the novel GLAS algorithm as an aid in the detection of liver fibrosis and cirrhosis based on GP73, LG2m, age, and sex
    Philip M. Hemken
    Xuzhen Qin
    Lori J. Sokoll
    Laurel Jackson
    Fan Feng
    Peng Li
    Susan H. Gawel
    Bailin Tu
    Zhihong Lin
    James Hartnett
    David Hawksworth
    Bryan C. Tieman
    Toru Yoshimura
    Hideki Kinukawa
    Shaohua Ning
    Enfu Liu
    Fanju Meng
    Fei Chen
    Juru Miao
    Xuan Mi
    Xin Tong
    Daniel W. Chan
    Gerard J. Davis
    Clinical Proteomics, 2023, 20
  • [22] VALIDATION OF THE NOVEL GLAS ALGORITHM AS AN AID IN THE DETECTION OF LIVER FIBROSIS AND CIRRHOSIS BASED ON GP73, LG2M, AGE, AND SEX
    Hemken, Philip
    Sokoll, Lori
    Jackson, Laurel
    Gawel, Susan
    Yoshimura, Toru
    Kinukawa, Hideki
    Ning, Shaohua
    Miao, Juru
    Chan, Daniel
    Davis, Gerard
    HEPATOLOGY, 2024, 80 : S1507 - S1507
  • [23] Validation of the novel GLAS algorithm as an aid in the detection of liver fibrosis and cirrhosis based on GP73, LG2m, age, and sex
    Hemken, Philip M.
    Qin, Xuzhen
    Sokoll, Lori J.
    Jackson, Laurel
    Feng, Fan
    Li, Peng
    Gawel, Susan H.
    Tu, Bailin
    Lin, Zhihong
    Hartnett, James
    Hawksworth, David
    Tieman, Bryan C.
    Yoshimura, Toru
    Kinukawa, Hideki
    Ning, Shaohua
    Liu, Enfu
    Meng, Fanju
    Chen, Fei
    Miao, Juru
    Mi, Xuan
    Tong, Xin
    Chan, Daniel W.
    Davis, Gerard J.
    CLINICAL PROTEOMICS, 2023, 20 (01)
  • [24] NON-INVASIVE EVALUATION OF FIBROSIS IN PAEDIATRIC CHRONIC LIVER DISEASE
    Fitzpatrick, E.
    Basso, S.
    Quaglia, A.
    Mitry, R.
    Dhawan, A.
    GUT, 2011, 60 : A8 - A8
  • [25] A Novel Non-invasive Model Based on GPR for the Prediction of Liver Fibrosis in Patients With Chronic Hepatitis B
    Ding, Rongrong
    Lu, Wei
    Zhou, Xinlan
    Huang, Dan
    Wang, Yanbing
    Li, Xiufen
    Li Yan
    Lin, Weijia
    Song, Shu
    Zhang, Zhanqing
    Chen, Liang
    FRONTIERS IN MEDICINE, 2021, 8
  • [27] VAP score as a novel non-invasive liver fibrosis model in patients with chronic hepatitis C
    Hassan, Elham Ahmed
    Abd El-Rehim, Abeer Sharaf El-Din
    Sayed, Zain El-Abdeen Ahmed
    Kholef, Emad Farah Mohamed
    Sabry, Abeer
    Abo Elhagag, Noha Abd El-Rehim
    HEPATOLOGY RESEARCH, 2017, 47 (13) : 1408 - 1416
  • [28] Development and validation of a non-invasive model for predicting significant fibrosis based on patients with nonalcoholic fatty liver disease in the United States
    Guo, Yuanhui
    Shen, Baixuan
    Xue, Yanli
    Li, Ying
    FRONTIERS IN ENDOCRINOLOGY, 2023, 14
  • [29] From liver biopsy to non-invasive markers in evaluating fibrosis in chronic liver disease
    Diaconu, Catalina
    Radu, Florentina Ionita
    Jinga, Mariana
    Nuta, Petrut
    Bucurica, Sandica
    Macadon, Bogdan
    Patrasescu, Mihaita
    Popescu, Andrada
    Balaban, Vasile
    Voicu, Laura
    Costache, Daniel O.
    Costache, Raluca S.
    ROMANIAN JOURNAL OF MILITARY MEDICINE, 2015, 118 (02) : 5 - 12
  • [30] GP73 is a TBC-domain Rab GTPase-activating protein contributing to the pathogenesis of non-alcoholic fatty liver disease without obesity
    Yumeng Peng
    Qiang Zeng
    Luming Wan
    Enhao Ma
    Huilong Li
    Xiaopan Yang
    Yanhong Zhang
    Linfei Huang
    Haotian Lin
    Jiangyue Feng
    Yixin Xu
    Jingfei Li
    Muyi Liu
    Jing Liu
    Changqin Lin
    Zhiwei Sun
    Gong Cheng
    Xuemiao Zhang
    Jialong Liu
    Dongrui Li
    Meng Wei
    Yunhai Mo
    Xuetao Mu
    Xiaowei Deng
    Dandan Zhang
    Siqing Dong
    Hanqing Huang
    Yi Fang
    Qi Gao
    Xiaoli Yang
    Feixiang Wu
    Hui Zhong
    Congwen Wei
    Nature Communications, 12