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    Chinese Hepatolgy    2016, 21 (12): 1068-1068.  
    Abstract147)      PDF (617KB)(1528)      
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    The predictive value of serum A-FABP for diagnosis of NAFLD
    WEN Qian, WANG Xiao-ye, ZHAO Li, ZHANG Zhe, LI Wu-liang, ZHAO Shu-guang, TAO Mei
    Chinese Hepatolgy    2021, 26 (2): 187-191.  
    Abstract150)      PDF (715KB)(837)      
    Objective To explore the predictive value of serum adipocyte fatty acid-binding protein (A-FABP) for the diagnosis of non-alcoholic fatty liver disease (NAFLD).Methods Eighty-six cases of NAFLD (NAFLD group) patients and 86 healthy adults (control group) were enrollled. Age, gender, height, weight, BMI, waist circumference were assessed. The level of serum TC, TG, HDL-C, LDL-C, FPG, ALT, AST, γ-GT, UA, hsCRP, A-FABP, TNF-α were measured. The receiver operating characteristic curve (ROC curve) was plotted, the NAFLD threshold of A-FABP was calculated, the predictive efficacy was verified, and the correlation between A-FABP and TNF-α was analyzed. Results Compared with the control group, the height, weight, waist circumference, BMI, TG, TC, LDL-C, FPG, ALT, AST, γ-GT, UA, hsCRP, the level of serum A-FABP and TNF-α in the NAFLD group were increased(P<0.05), while HDL-C were decreased significantly (P<0.01). When the A-FABP cutoff value was 82.43 pg/mL, the diagnostic sensitivity of NAFLD was 97.7%, the specificity was 93.0%, the positive predictive value was 93.3%, the negative predictive value was 97.6%, the overall coincidence rate was 95.3%, and the consistency test statistic Kappa was 0.907. The spearman or pearson correlation analysis revealed that the A-FABP level was positively correlated with TNF-α, UA and BMI, while was negatively correlated with HDL-C (P<0.05). Multiple linear regression showed that TNF-α and UA were independent factors affecting A-FABP.Conclusion A-FABP play important roles in the liver function impairment and inflammatory response, and is a good serum predictor for NAFLD with a cutoff value of 82.43 pg/mL.
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    Chinese Hepatolgy    2021, 26 (8): 939-942.  
    Abstract856)      PDF (839KB)(845)      
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    Chinese Hepatolgy    2018, 23 (12): 1090-1092.  
    Abstract234)      PDF (673KB)(1508)      
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    Chinese Hepatolgy    2017, 22 (9): 857-858.  
    Abstract278)      PDF (625KB)(1369)      
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    Chinese Hepatolgy    2018, 23 (2): 171-176.  
    Abstract222)      PDF (1217KB)(1388)      
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    Chinese Hepatolgy    2019, 24 (11): 1319-1322.  
    Abstract340)      PDF (690KB)(1635)      
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    Chinese Hepatolgy    2021, 26 (2): 205-210.  
    Abstract266)      PDF (1146KB)(795)      
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    Chinese Hepatolgy    2018, 23 (11): 1029-1031.  
    Abstract192)      PDF (683KB)(1132)      
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    Chinese Hepatolgy    2017, 22 (9): 858-860.  
    Abstract180)      PDF (647KB)(1150)      
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    Chinese Hepatolgy    2018, 23 (11): 1051-1051.  
    Abstract350)      PDF (669KB)(724)      
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    Chinese Hepatolgy    2016, 21 (9): 746-747.  
    Abstract451)      PDF (925KB)(1307)      
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    Chinese Hepatolgy    2019, 24 (9): 1049-1052.  
    Abstract821)      PDF (1133KB)(1005)      
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    Chinese Hepatolgy    2019, 24 (11): 1301-1303.  
    Abstract263)      PDF (728KB)(898)      
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    Chinese Hepatolgy    2023, 28 (2): 135-145.  
    Abstract293)      PDF (2000KB)(363)      
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    Chinese Hepatolgy    2017, 22 (10): 965-966.  
    Abstract211)      PDF (681KB)(1054)      
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    Chinese Hepatolgy    2017, 22 (7): 648-649.  
    Abstract188)      PDF (656KB)(1177)      
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    Establishment and investigation of carbon tetrachloride-induced acute liver injury model in mice
    FU Shuang-nan, GAO Da, GUO Jia-jia, MIAO Ming-san, ZHU Ping-sheng, GONG Man
    Chinese Hepatolgy    2022, 27 (9): 1036-1040.  
    Abstract801)      PDF (1030KB)(410)      
    Objective To investigate the stable animal model of carbon tetrachloride (CCl4)-induced acute liver injury in mice, which is convenient for the research and application of new clinical drugs. Methods The Kunming (KM) mice were randomLy divided into blank group, model group, and bifendate group (5.625 mg/kg), and the acute liver injury of mice was replicated by intraperitoneal injection of 0.1% CCl4 solution. The aminotransferase level, liver index, and pathological changes of liver tissue at 3h, 6h, 12h, and 24h after modeling were detected to study the stability of the model. Results After exposure to the model group, alanine aminotransferase (ALT) increased slightly at 3 h [(45.21 ± 13.17) IU/L, P<0.01], and increased significantly at 12 h [(112.30 ± 30.54) IU/L] and 24 h [(121.98 ± 21.66) IU/L] (both P<0.01); AST increased at 3 h [(162.51 ± 28.57) IU/L], 6 h [(192.07 ± 31.05) IU/L], 12 h [(250.75 ± 90.82) IU/L] and 24 h [(274.27 ± 44.02) IU/L] (all P<0.01), but increased significantly at 12 and 24 h; liver index slightly increased at 3 h [(6.72 ± 1.90) g/100 g] and 6h [(6.72 ± 1.90) g/100 g] (both P<0.01). At 12 h [(12.41 ± 1.18) g/100 g] and 24 h [(14.90 ± 2.56) g/100 g] (both P<0.01), the liver pathological changes showed obvious hepatocyte swelling and inflammatory cell infiltration, and the injury degree was more significant at 24 h. Conclusion When the mouse acute liver injury model was prepared by intraperitoneal injection of 0.1% CCl4 solution, the modeling time between 12 h and 24 h was more appropriate.
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    Chinese Hepatolgy    2019, 24 (2): 196-199.  
    Abstract96)      PDF (639KB)(584)      
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    Chinese Hepatolgy    2021, 26 (7): 720-723.  
    Abstract439)      PDF (711KB)(476)      
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