scholarly journals Identification and Validation of Novel Serum Autoantibodies Biomarkers for Staging Liver Fibrosis in Patients With Chronic Hepatitis B

2022 ◽  
Vol 8 ◽  
Author(s):  
Saiping Qi ◽  
Jing Li ◽  
Xiaomin He ◽  
Jialing Zhou ◽  
Zhibin Chen ◽  
...  

Aim: Liver fibrosis monitoring is essential in patients with chronic hepatitis B (CHB). However, less robust, noninvasive diagnostic methods for staging liver fibrosis, other than liver biopsy, are available. Our previous study demonstrated a panel of cellular proteins recognized by autoantibodies that may have potential value in discrimination of CHB and liver cirrhosis. We aim to assess the diagnostic value of these serum autoantibodies for staging liver fibrosis.Methods: Candidate autoantigens were screened and assessed by microarray analysis in 96 healthy controls and 227 CHB patients with pre-treatment biopsy-proven METAVIR fibrosis score, comprising 69, 115, and 43 cases with S0-1, S2-3, and S4 stages, respectively. Autoantibodies with potential diagnostic value for staging liver fibrosis were verified by enzyme-linked immunosorbent assays (ELISA). Receiver operating characteristic curve was conducted to evaluate autoantibody performance.Results: Microarray analysis identified autoantigens CENPF, ACY1, HSPA6, and ENO1 with potential diagnostic value for liver fibrosis staging, among which CENPF and ACY1 were validated using ELISA. CENPF and ACY1 autoantibodies had area under the curve values of 0.746 and 0.685, 58.14 and 74.42% sensitivity, and 88.41 and 60.87% specificity, respectively, for discriminating liver fibrosis stages S4 and S0-1. The prevalence of CENPF and ACY1 autoantibodies was not correlated with age, sex or level of inflammation.Conclusions: Autoimmune responses may be elicited during progression of liver fibrosis, and serum autoantibodies may be a valuable biomarker for staging liver fibrosis deserving of further study.

2020 ◽  
Vol 76 (1) ◽  
pp. 63-72
Author(s):  
Yi Zheng ◽  
Shujun Xia ◽  
Xinping Ren ◽  
Weiwei Zhan ◽  
Zhan Zheng ◽  
...  

PURPOSE: To evaluate the value of spleen shear-wave elastography (sound touch elastography [STE], sound touch quantification [STQ]) in indirect prediction of liver fibrosis in patients with chronic hepatitis B (CHB). METHODS: The Young’s modulus (kPa) of spleen STE, STQ and liver FibroScan were measured in 112 patients with CHB. The final diagnosis was according to histological results from liver biopsy based on Scheure G/S scoring system and liver FibroScan was considered as a reference index of prediction efficiency. Grouped by the stage of liver fibrosis, data were analyzed by Spearman correlation analysis, Mann-Whitney test and receiver operating characteristic curve (ROC). RESULTS: Spleen STE was positively correlated with the degree of liver fibrosis, but spleen STQ was not. STEmean and STEmax of spleen were statistically different between the groups categorized by S = 2, S = 3 and S = 4 (all p < 0.05), respectively. Spleen STEmean had the best predicting performance on staging liver fibrosis. The areas under the ROC (AUC) for spleen STEmean were 0.66 (95% confidence interval [CI], 0.56–0.76) for stage S = 2 or higher, 0.72 (95% CI, 0.60–0.83) for S = 3 or higher, 0.83 (95% CI, 0.74–0.92) for S = 4 (all P < 0.01). The differences between the AUC for spleen STEmean and liver FibroScan in liver fibrosis staging were not statistically significant when the groups categorized by S = 2 and S = 4 (P = 0.146 and P = 0.052). But when categorized by S = 3, the evaluating performance of liver FibroScan was better (P = 0.004). CONCLUSION: STEmean of spleen is applicable in indirect predicting fibrosis stage in patients with CHB.


2013 ◽  
Vol 25 (9) ◽  
pp. 1076-1081 ◽  
Author(s):  
Fatma Ucar ◽  
Sevilay Sezer ◽  
Zeynep Ginis ◽  
Gulfer Ozturk ◽  
Aynur Albayrak ◽  
...  

Author(s):  
Banu Demet Coskun ◽  
Engin Altinkaya ◽  
Eylem Sevinc ◽  
Mustafa Ozen ◽  
Hatice Karaman ◽  
...  

Author(s):  
Serpil Erdogan ◽  
Halef Okan Dogan ◽  
Sevilay Sezer ◽  
Sema Uysal ◽  
Esra Ozhamam ◽  
...  

2020 ◽  
Vol 12 (1) ◽  
pp. 73-79
Author(s):  
D. V. Tereshkov ◽  
V. M. Mitsura

Aim of investigation: The aim of the present study was to evaluate the possibility using of indirect liver fibrosis markers for the estimation of fibrosis severity and timely prescribing of antiviral therapy in patients with chronic hepatitis B.Materials and methods: We examined 130 patients with chronic hepatitis B (mean age 41,8±13,5 years, 70% of men) having known liver fibrosis stage based on fibroelastography or liver biopsy. The age of patients, 9 parameters of biochemical blood analysis, complete blood count and coagulogram along with 7 indices calculated on their base were considered. Their prognostic values were estimated by means of ROC analysis.Results: According to increase of liver fibrosis stage albumin, prothrombin index, platelet count, cholesterol reduce and aspartate aminotransferase, international normalized ratio, gamma-glutamyl transpeptidase, alanine aminotransferase, alkaline phosphatase levels rise (p<0,01). All of the laboratory parameters and indices were significantly different (p<0,01) in patients with minimal (F0–F1) and advanced (F2–F4) fibrosis. For patients with chronic hepatitis B the most significant predictors of advanced liver fibrosis (F2–F4) were: GUCI and King’s score indices as well as eLIFT scale. Index GUCI had the best diagnostic performance (area under the receiver operating characteristic curve 0,866) with 89,5% sensitivity and 78,0% specificity at cut off ≥0,7/ Conclusion: The assessment of indirect liver fibrosis markers in patients with chronic hepatitis B can be easily performed at any stage of medical care; they are quite informative and can be used for the estimation of fibrosis severity and timely conducting antiviral therapy.


2017 ◽  
Vol 1 ◽  
pp. 28-33
Author(s):  
Katarzyna Kalita ◽  
Krzysztof Filipczak ◽  
Małgorzata Bieńkiewicz ◽  
Wojciech Deroń ◽  
Zbigniew Deroń ◽  
...  

2020 ◽  
Vol 7 (1) ◽  
pp. 030-033
Author(s):  
Shi Wenjian ◽  
Che Tuanjie ◽  
Li Chun ◽  
Li Caidong ◽  
Zhang Yan ◽  
...  

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