# Clinical Diagnostic Value of Quantitative Hepatitis B Virus Core Antibody Test in Chronic Viral Hepatitis B

Authors: Xi Su; Huangping Chen; Zifei Zhu; Wanying Xie; Jianqiao Peng; Xinping Ma; Wenwen Jin; Wei Shi; Zhonghua Deng; Cunyan Li
Journal: Bioinorganic Chemistry and Applications
 (2021)

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## Abstract

The level of CHB virus (HBV) core antibody (HBcAb) is different in four stages of chronic HBV infection and may be used for differential diagnosis of the natural history of chronic HBV infection. To address this question, we examined multiple blood biomarkers and assessed the efficacy to diagnose different stages of chronic HBV infection. The quantitative detection of HBcAb, hepatitis B surface antigen (HBsAg), HBV DNA, alanine aminotransferase (ALT), aspartate aminotransferase (AST), and platelet count (PLT) were determined in the serum of 73 cases of low-replicative phase (LR), 46 cases of immune-tolerant phase (IT), 44 cases of immune clearance phase (IC), and 57 cases of HBeAg-negative hepatitis (ENH). Differentiating performance of these serum protein levels was analyzed by receiver operating characteristic (ROC) curve analysis. Our results showed that the levels of HBcAb, ALT, and AST levels were significantly higher in IC and ENH than those in LR and IT (bothP≤0.001). The levels of HBV DNA and HBsAg were higher in IC and IT than those in LR and ENH (both P≤0.001). Logistic regression models showed that HBcAb, HBsAg, HBV DNA, ALT, and AST were the independent variables, respectively, and when combined, they provided high diagnostic accuracy for the staging of CHB. To sum up, HBcAb quantification is a new index, which can reflect whether the liver is in the immune activation state of HBV infection, and is related to the inflammatory state of the host liver. The combined detection of HBcAb quantification and other indicators has showed promising efficiency for staging of IC and ENH and can assist the diagnosis and treatment of CHB.


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## Body

## 1. Introduction

According to the report of World Health Organization (WHO), about 2 billion people in the world have been infected with hepatitis B virus (HBV), among which 350 million people are chronic hepatitis B (CHB) patients. The chronic HBV infection has been a worldwide disease [1]. About 1 million people die from HBV infection every year. There are 93 million chronic HBV-infected people in China, among which there are about 20 million patients with CHB. Hepatitis B virus infection can induce different degrees of liver inflammation and liver fibrosis, and severe cases can progress to liver cirrhosis and liver cancer, threatening the life safety of patients [2–4].According to the results of serology, virology, biochemistry, imaging, and other auxiliary examinations of CHB infection, CHB can be divided into CHB carrying state (immune-tolerant phase, IT), HBeAg (Hepatitis B e antigen) positive CHB (immune clearance phase, IC), inactive HVB surface antigen (HBsAg) carrying state (low-replicative phase, LR), and HBeAg-negative CHB (reactivity period, HBeAg-negative hepatitis, ENH). HBV serological examination, serum biochemical examination, HBV DNA (hepatitis B virus load) quantification, and other auxiliary clinical diagnosis stages are important indicators for the selection of indications and the judgment of curative effect of antiviral therapy. During antiviral treatment, obtaining sustained virological response can significantly control the progression of liver cirrhosis and reduce the risk of hepatocellular carcinoma (HCC). The annual incidence of liver cirrhosis in CHB patients without antiviral treatment is 2%∼10% [5]. Hepatitis B core antibody (HBcAb) is an antibody that appears earlier after HBV infection and disappears the latest after recovery of hepatitis B. Detection of HBcAb can effectively understand the infection status of hepatitis B [6].Among them, the quantitative detection of HBcAb is reflecting the natural course of chronic HBV, assisting in the diagnosis of occult HBV infection, predicting and evaluating the antiviral response of HBV and optimizing the diagnosis and treatment of HIV patients by detecting HBcAb during HIV (human immunodeficiency virus)/HBV mixed infection [7], which plays a certain role in guiding the clinical management of CHB, such as the ability to indirectly reflect anti-HBV immune response and the degree of inflammation in liver tissue [7–9]. In this paper, quantitative analysis of HBcAb is performed. The quantitative detection of HBcAb is different in four stages of chronic HBV infection and can be used for differential diagnosis of the natural history of chronic HBV infection. The quantitative level of HBcAb can help to judge whether the body is immune activated during chronic HBV infection. In patients with chronic HBV infection, the quantitative detection of HBcAb is related to the inflammatory state of the host liver, which can be diagnosed alone or in combination with other relevant indicators to assist the diagnosis and treatment of chronic HBV. This work benefits the clinical management of CHB from a unique perspective of the quantitative detection of HBcAb.


## 2. Materials and Methods

### 2.1. General Information

A total of 220 cases of chronic HBV infection who were seen in Hunan Provincial People’s Hospital from June 2020 to March 2021 and had not received anti-HBV treatment or had never received antiviral treatment in the last three months or more were selected as study subjects of which 73 cases (age: 45.47 ± 13.23) could be classified as immune control phase, 46 cases (age: 31.24 ± 9.06) in immune tolerance phase, 46 cases (age: 31.24 ± 9.06) in the immune clearance phase, and 57 cases (age: 43.14 ± 13.46) in the reactivation phase [5]. Exclusion criteria: diagnosis of chronic HBV infection combined with alcoholic or nonalcoholic liver disease, liver virus infection, etc.; patients with combined malignancy; liver cysts or tumors in the liver; liver damage due to the effect of drugs or alcohol; infection with hepatitis A virus (HAV), hepatitis C virus (HCV), hepatitis D virus (HDV), and hepatitis E virus (HEV); genetic metabolic disease of the liver; pregnant women; hepatocellular carcinoma having received liver transplantation; and being treated with chemotherapy.


### 2.2. Methods

Early morning venous blood was collected from 220 patients who had not eaten, centrifuged at 4000 r/min for 10 min in a centrifuge, and the centrifuged serum was divided into EP tubes and stored in a refrigerator at −80°C in the preparation of uniform quantitative HBcAb assay. The other items to be tested were taken from the serum samples on the same day. Caris 200 automatic chemiluminescence immunoanalyzer was used for the quantitative detection of HBcAb and hepatitis B surface antigen (HBsAg). ALT and AST were measured by Hitachi Labospect 008 AS automatic analyzer through continuous monitoring method, and PLT was detected by Sysmex XN 9000 automatic blood analyzer. HBV-DNA was detected by florescence quantitative PCR. The specific experimental steps followed the operating instructions on the kits.


### 2.3. Statistical Processing

SPSS 20.0 statistical software was used to process the data. The data were tested for normal distribution, and data for normally distributed measures were expressed asx¯ ± s, and one-way ANOVA was used for comparison between multiple groups; data for skewed distribution were expressed as [M (P25, P75)], and Kruskal–Wallis H-test was used for comparison between multiple data groups, and correlation analysis was performed by Spearman method. Using area under curve (AUC) of ROC was to determine the predictive value. The difference was considered statistically significant at P<0.05.


## 2.1. General Information

A total of 220 cases of chronic HBV infection who were seen in Hunan Provincial People’s Hospital from June 2020 to March 2021 and had not received anti-HBV treatment or had never received antiviral treatment in the last three months or more were selected as study subjects of which 73 cases (age: 45.47 ± 13.23) could be classified as immune control phase, 46 cases (age: 31.24 ± 9.06) in immune tolerance phase, 46 cases (age: 31.24 ± 9.06) in the immune clearance phase, and 57 cases (age: 43.14 ± 13.46) in the reactivation phase [5]. Exclusion criteria: diagnosis of chronic HBV infection combined with alcoholic or nonalcoholic liver disease, liver virus infection, etc.; patients with combined malignancy; liver cysts or tumors in the liver; liver damage due to the effect of drugs or alcohol; infection with hepatitis A virus (HAV), hepatitis C virus (HCV), hepatitis D virus (HDV), and hepatitis E virus (HEV); genetic metabolic disease of the liver; pregnant women; hepatocellular carcinoma having received liver transplantation; and being treated with chemotherapy.


## 2.2. Methods

Early morning venous blood was collected from 220 patients who had not eaten, centrifuged at 4000 r/min for 10 min in a centrifuge, and the centrifuged serum was divided into EP tubes and stored in a refrigerator at −80°C in the preparation of uniform quantitative HBcAb assay. The other items to be tested were taken from the serum samples on the same day. Caris 200 automatic chemiluminescence immunoanalyzer was used for the quantitative detection of HBcAb and hepatitis B surface antigen (HBsAg). ALT and AST were measured by Hitachi Labospect 008 AS automatic analyzer through continuous monitoring method, and PLT was detected by Sysmex XN 9000 automatic blood analyzer. HBV-DNA was detected by florescence quantitative PCR. The specific experimental steps followed the operating instructions on the kits.


## 2.3. Statistical Processing

SPSS 20.0 statistical software was used to process the data. The data were tested for normal distribution, and data for normally distributed measures were expressed asx¯ ± s, and one-way ANOVA was used for comparison between multiple groups; data for skewed distribution were expressed as [M (P25, P75)], and Kruskal–Wallis H-test was used for comparison between multiple data groups, and correlation analysis was performed by Spearman method. Using area under curve (AUC) of ROC was to determine the predictive value. The difference was considered statistically significant at P<0.05.


## 3. Results

### 3.1. Comparison of General Conditions and Indicators in the Four Periods of Chronic HBV Infection

The levels of serum HBcAb, HBsAg, HBV DNA, ALT, and AST were skewed between groups and expressed by quartile spacing, where PLT levels were normally distributed using mean ± standard deviation, see Table1. By ANOVA, there was a statistically significant difference in age (F = 22.161, P≤0.001), which was less in the immune tolerance and immune clearance phases than in the immune control and reactivity period. Kruskal–Wallis test showed significantly different levels of HBcAb, HBsAg, HBV DNA, ALT, and AST in different groups of patients (HBcAb: H = 44.324, P≤0.001; HBsAg: H = 165.564, P≤0.001; HBV DNA: H = 160.867, P≤0.001; ALT: H = 115.909, P≤0.001; and AST: H = 85.668, P≤0.001). Kruskal–Wallis H-test mean rank multiple comparisons showed that the level of HBsAg was the lowest in the immune control period, and HBcAb, ALT, and AST levels were significantly higher in the immune clearance and reactivation phases than in the immune control and immune tolerance phases (both P≤0.001); HBV DNA levels were not statistically different between the immune clearance and immune tolerance phases (P>0.05), and the levels in both the immune clearance and immune tolerance periods were significantly higher than those in the immune control and reactivation periods (P≤0.001).Table 1
General situation and comparison of various indexes in four periods of chronic HBV infection.
Immune control period (LR)(n = 73)Immune tolerance period (IT)(n = 46)Immune clearance period (IC)(n = 44)Reactivity period (ENH)(n = 57)Male/female46/2714/3229/1538/19Age45.47 ± 13.2331.24 ± 9.0631.27 ± 9.8743.14 ± 13.46HBsAg122.280 (20.795, 770.290)>50000.00 (>50000.00, >50000.00)a37461.50 (10000.00, >50000.00)a4094.80 (1981.48, 8218.79)abcHBcAb5202.91 (2103.58, 21238.87)7511.24 (1932.52, 20395.84)39725.54 (11349.75, 67178.47)ab39326.22 (14090.12,69366.34)abHBV DNA102.00 (100.00, 1095.00)17.25E + 07 (949.25E + 05,293.25E + 06)a7.67E + 07 (102.75E + 05, 294.75E + 06)a4.2E + 04 (3060, 1.42E + 06)abcALT21.80 (14.45, 31.80)27.25 (22.65, 38.68)144.40(74.48, 276.13)ab53.90 (40.70, 180.15)abAST23.68 (18.95, 28.80)25.20 (19.60, 30.68)77.75 (42.40, 145.05)ab41.00 (27.30, 93.90)abPLT205.05 ± 69.67222.78 ± 65.98187.35 ± 63.37192.71 ± 64.41Note. Compared with the immune control period, Pa<0.05; compared with the immune tolerance period, Pb<0.05; compared with immune clearance period, Pc<0.05.


### 3.2. The Correlation between the Quantitative Level of HBcAb and ALT or AST or HBV DNA of Patients with Chronic HBV Infection in Four Periods

Among the four periods in patients with CHB, HBcAb quantitative levels were significantly and positively correlated with ALT and AST during the immune clearance and reactivation periods. HBcAb quantitative levels were significantly and positively correlated with HBV DNA during the immune control and reactivation periods, and HBcAb quantitative levels were negatively correlated with PLT during the immune clearance period (allP<0.05). During the HBeAg-negative and positive periods, the HBcAb quantitative levels were significantly and positively correlated with ALT and AST (both P≤0.001); HBcAb quantitative levels in patients with CHB were significantly and positively correlated with HBsAg, ALT, AST, and HBV DNA and negatively correlated with PLT (both P<0.05), as shown in Tables 2 and 3.Table 2
Correlation comparison between quantitative level of HBcAb and various results in patients with chronic HBV infection in four periods.
HBcAb VSImmune control period (LR)Immune tolerance period (IT)Immune clearance period (IC)Reactivity period (ENH)rPrPRPRPALT0.0470.6930.2110.1540.566≤0.0010.435≤0.001AST−0.0290.8100.1310.3850.508≤0.0010.510≤0.001PLT−0.0120.9290.1290.415−0.3370.041−0.2130.097HBsAg0.2170.065——−0.2060.1790.3690.005HBV DNA0.410≤0.0010.0510.736−0.1250.4200.466≤0.001Table 3
Comparison of HBeAg-negative period and overall HBcAb quantification level with each outcome in patients with chronic HBV infection.
HBcAb VSHBeAg-positive periodHBeAg-negative periodChronic HBV infectionrPRPRPALT0.540≤0.0010.436≤0.0010.441≤0.001AST0.530≤0.0010.387≤0.0010.396≤0.001PLT−0.1690.096−0.2430.020−0.2010.005HBsAg−0.3050.0030.494<0.0010.1350.045HBV DNA−0.1930.0670.600≤0.0010.278≤0.001


### 3.3. ROC Curve Analysis of HBcAb Quantification in Four Periods of Chronic HBV Infection

The diagnostic value of HBcAb quantitative levels for IC and ENH was analyzed using the other three periods as control groups. The AUCs of HBcAb to identify patients in the periods IC and ENH were 0.655 and 0.705, respectively, and the optimal critical values were 21967.07 IU/mL and 10603.77 IU/mL, respectively, with sensitivities of 65.1% and 84.2% and specificities of 63.1% and 49.1%, respectively. Logistic regression models were developed to calculate the predictive probabilities with whether the patients with IT, IC, and ENH were the response variables and HBcAb, HBsAg, HBV DNA, ALT, and AST were the independent variables, respectively. At the diagnostic cutoff values of 0.283, 0.125, and 0.228 for the predictive probabilities, and the sensitivity and specificity were 91.3%, 93%, and 86% and 93.1%, 58.0%, and 66.3%, respectively, see Table4, Figures 1–3.Table 4
Diagnostic value of HBCAB quantification and other indicators in the stages of chronic HBV infection.
AUCSensitivity (%)Specificity (%)Optimal critical value95%CIITAST0.30797.85.216.450.233–0.381HBsAg0.90889.185.043730.750.870–0.946Prediction probability0.96091.393.10.2830.922–0.998ICAST0.83681.474.438.550.779–0.893HBsAg0.75290.760.85141.9050.686–0.819HBcAb0.65565.163.121967.070.561–0.750Prediction probability0.80293.058.00.1250.740–0.864ENHHBV DNA0.44393.032.5691.00.370–0.517HBcAb0.70584.249.110603.770.627–0.783Prediction probability0.79986.066.30.2280.738–0.861Figure 1
ROC curve of AST, HBsAg, and predicted probability to identify IT.Figure 2
ROC curve of AST, HBsAg, HBcAb, and predictive probability discrimination IC.Figure 3
ROC curve of HBV DNA, HBcAb, and prediction probability discrimination ENH.


## 3.1. Comparison of General Conditions and Indicators in the Four Periods of Chronic HBV Infection

The levels of serum HBcAb, HBsAg, HBV DNA, ALT, and AST were skewed between groups and expressed by quartile spacing, where PLT levels were normally distributed using mean ± standard deviation, see Table1. By ANOVA, there was a statistically significant difference in age (F = 22.161, P≤0.001), which was less in the immune tolerance and immune clearance phases than in the immune control and reactivity period. Kruskal–Wallis test showed significantly different levels of HBcAb, HBsAg, HBV DNA, ALT, and AST in different groups of patients (HBcAb: H = 44.324, P≤0.001; HBsAg: H = 165.564, P≤0.001; HBV DNA: H = 160.867, P≤0.001; ALT: H = 115.909, P≤0.001; and AST: H = 85.668, P≤0.001). Kruskal–Wallis H-test mean rank multiple comparisons showed that the level of HBsAg was the lowest in the immune control period, and HBcAb, ALT, and AST levels were significantly higher in the immune clearance and reactivation phases than in the immune control and immune tolerance phases (both P≤0.001); HBV DNA levels were not statistically different between the immune clearance and immune tolerance phases (P>0.05), and the levels in both the immune clearance and immune tolerance periods were significantly higher than those in the immune control and reactivation periods (P≤0.001).Table 1
General situation and comparison of various indexes in four periods of chronic HBV infection.
Immune control period (LR)(n = 73)Immune tolerance period (IT)(n = 46)Immune clearance period (IC)(n = 44)Reactivity period (ENH)(n = 57)Male/female46/2714/3229/1538/19Age45.47 ± 13.2331.24 ± 9.0631.27 ± 9.8743.14 ± 13.46HBsAg122.280 (20.795, 770.290)>50000.00 (>50000.00, >50000.00)a37461.50 (10000.00, >50000.00)a4094.80 (1981.48, 8218.79)abcHBcAb5202.91 (2103.58, 21238.87)7511.24 (1932.52, 20395.84)39725.54 (11349.75, 67178.47)ab39326.22 (14090.12,69366.34)abHBV DNA102.00 (100.00, 1095.00)17.25E + 07 (949.25E + 05,293.25E + 06)a7.67E + 07 (102.75E + 05, 294.75E + 06)a4.2E + 04 (3060, 1.42E + 06)abcALT21.80 (14.45, 31.80)27.25 (22.65, 38.68)144.40(74.48, 276.13)ab53.90 (40.70, 180.15)abAST23.68 (18.95, 28.80)25.20 (19.60, 30.68)77.75 (42.40, 145.05)ab41.00 (27.30, 93.90)abPLT205.05 ± 69.67222.78 ± 65.98187.35 ± 63.37192.71 ± 64.41Note. Compared with the immune control period, Pa<0.05; compared with the immune tolerance period, Pb<0.05; compared with immune clearance period, Pc<0.05.


## 3.2. The Correlation between the Quantitative Level of HBcAb and ALT or AST or HBV DNA of Patients with Chronic HBV Infection in Four Periods

Among the four periods in patients with CHB, HBcAb quantitative levels were significantly and positively correlated with ALT and AST during the immune clearance and reactivation periods. HBcAb quantitative levels were significantly and positively correlated with HBV DNA during the immune control and reactivation periods, and HBcAb quantitative levels were negatively correlated with PLT during the immune clearance period (allP<0.05). During the HBeAg-negative and positive periods, the HBcAb quantitative levels were significantly and positively correlated with ALT and AST (both P≤0.001); HBcAb quantitative levels in patients with CHB were significantly and positively correlated with HBsAg, ALT, AST, and HBV DNA and negatively correlated with PLT (both P<0.05), as shown in Tables 2 and 3.Table 2
Correlation comparison between quantitative level of HBcAb and various results in patients with chronic HBV infection in four periods.
HBcAb VSImmune control period (LR)Immune tolerance period (IT)Immune clearance period (IC)Reactivity period (ENH)rPrPRPRPALT0.0470.6930.2110.1540.566≤0.0010.435≤0.001AST−0.0290.8100.1310.3850.508≤0.0010.510≤0.001PLT−0.0120.9290.1290.415−0.3370.041−0.2130.097HBsAg0.2170.065——−0.2060.1790.3690.005HBV DNA0.410≤0.0010.0510.736−0.1250.4200.466≤0.001Table 3
Comparison of HBeAg-negative period and overall HBcAb quantification level with each outcome in patients with chronic HBV infection.
HBcAb VSHBeAg-positive periodHBeAg-negative periodChronic HBV infectionrPRPRPALT0.540≤0.0010.436≤0.0010.441≤0.001AST0.530≤0.0010.387≤0.0010.396≤0.001PLT−0.1690.096−0.2430.020−0.2010.005HBsAg−0.3050.0030.494<0.0010.1350.045HBV DNA−0.1930.0670.600≤0.0010.278≤0.001


## 3.3. ROC Curve Analysis of HBcAb Quantification in Four Periods of Chronic HBV Infection

The diagnostic value of HBcAb quantitative levels for IC and ENH was analyzed using the other three periods as control groups. The AUCs of HBcAb to identify patients in the periods IC and ENH were 0.655 and 0.705, respectively, and the optimal critical values were 21967.07 IU/mL and 10603.77 IU/mL, respectively, with sensitivities of 65.1% and 84.2% and specificities of 63.1% and 49.1%, respectively. Logistic regression models were developed to calculate the predictive probabilities with whether the patients with IT, IC, and ENH were the response variables and HBcAb, HBsAg, HBV DNA, ALT, and AST were the independent variables, respectively. At the diagnostic cutoff values of 0.283, 0.125, and 0.228 for the predictive probabilities, and the sensitivity and specificity were 91.3%, 93%, and 86% and 93.1%, 58.0%, and 66.3%, respectively, see Table4, Figures 1–3.Table 4
Diagnostic value of HBCAB quantification and other indicators in the stages of chronic HBV infection.
AUCSensitivity (%)Specificity (%)Optimal critical value95%CIITAST0.30797.85.216.450.233–0.381HBsAg0.90889.185.043730.750.870–0.946Prediction probability0.96091.393.10.2830.922–0.998ICAST0.83681.474.438.550.779–0.893HBsAg0.75290.760.85141.9050.686–0.819HBcAb0.65565.163.121967.070.561–0.750Prediction probability0.80293.058.00.1250.740–0.864ENHHBV DNA0.44393.032.5691.00.370–0.517HBcAb0.70584.249.110603.770.627–0.783Prediction probability0.79986.066.30.2280.738–0.861Figure 1
ROC curve of AST, HBsAg, and predicted probability to identify IT.Figure 2
ROC curve of AST, HBsAg, HBcAb, and predictive probability discrimination IC.Figure 3
ROC curve of HBV DNA, HBcAb, and prediction probability discrimination ENH.


## 4. Discussion

HBV infection can lead to CHB, which is a very common infectious disease in clinic and has caused serious health and economic burden in the world [10]. At present, CHB is diagnosed and treated clinically according to the detection of HBsAg, HBV DNA, and ALT, among which ALT, as a sensitive marker of hepatocyte inflammation, has poor specificity, and patients will be affected by drugs, alcohol consumption, fatigue, and other hepatophilic virus infections. Elevated ALT leads to lower diagnostic accuracy [11]. Anti-HBc is a nonprotective antibody produced by B lymphocytes stimulated by HBcAg after HBV infection, which can be detected in serum at the early stage of HBV infection. Almost 100% of patients with CHB and 90% of patients with occult HBV infection show serum anti-HBc positive, even if HBV infection is completely recovered. HBsAg and HBV DNA disappear. Anti-HBc can still exist for 10∼20 years, even for life. So, detection of HBcAb plays an important role in clinical diagnosis, treatment, and epidemiological analysis [12].The results of this study show that the increase of HBcAb level of ENH is more significant than that of ALT, so HBcAb level has a higher differential value for ENH. HBcAb, ALT, and AST levels in IC and ENH were significantly higher than those of LR and IT. HBV DNA level in IC and IT is obviously higher than that in LR and ENH, which may be that HBcAg can be released from liver cells to stimulate B cells when the immune system is activated, thus stimulating the HBcAb level in IC and ENH. In our research, the HBsAg level is the highest in IT. In IT patients have slight liver inflammation and HBV DNA is replicated at a high level. There is almost no specific immune response against HBV, and the body’s immunity is in the inhibition stage, at which time, the anti-HBc level is at a low level. However, it reaches IC, the body’s immune response begins to strengthen, liver inflammation is activated (ALT is elevated), and HBcAb level also begins to rise gradually. The lack of HBsAg-specific cytotoxic T cells and/or their functions in CHB patients cannot eliminate a large number of HBsAg in patients’ serum and tissues, which is an important cause of immune tolerance in patients with chronic HBV infection. Meanwhile, myeloid dendritic cell (mDC) and plasmacytoid dendritic cell (pDC) decrease in frequency [5], and the decrease of antigen presenting cells may lead to the decrease of HBV specific B cells and antibody production. Therefore, when the quantitative level of HBcAb decreases, whether B cells also decrease at the same time can be further studied. The results of correlation analysis showed that the quantitative level of HBcAb was significantly positively correlated with ALT, AST, HBsAg, and HBV DNA in patients with chronic HBV infection. Some studies [13] deeply analyzed the correlation between anti-HBc and liver inflammation based on liver biopsy. With the aggravation of liver inflammation grade, the quantitative level of serum anti-HBc gradually increased, while the quantitative level of anti-HBc in patients with mild inflammation was significantly lower than that in patients with moderate to severe inflammation. The HBcAb quantification of CHB patients in our research is negatively correlated with PLT. In the immune tolerance phase of HBV infection, the level of HBcAb is low, and the level of T-regulatory cells is high, which inhibits the immune response against platelets. When the patient enters the immune clearance phase, HBcAb rises and T regulatory cells decrease, which attenuates the effect of CD4+ and CD8+ T cells against platelets, and the level of platelets decreased [14]. Therefore, it can be seen that the HBcAb level can reflect whether the body is in the immune activation state of HBV infection and is related to the inflammatory state of the host liver, but due to the lack of gold standard liver biopsy results in this study, HBcAb quantification cannot accurately judge the degree of liver inflammation, which needs further study.In this study, we evaluated the potential diagnosis function for staging of four serum proteins related to the chronic HBV infection using ROC analysis. The AUC of HBcAb in IC or ENH was 0.655 and 0.705, respectively. A combined serum markers of HBcAb and HBV DNA gave the highest accuracy for separating ENH from other three periods (AUC = 0.705; sensitivity = 84.2%; specificity = 49.1%), which further suggested that a combined serum markers of HBV DNA and HBcAb may be used for the correct diagnosis of ENH. The accuracy of HBcAb as diagnostic biomarkers for IT is not high.The diagnostic value of AST in IC patients is the highest, which may be due to strong specific immunity, excessive destruction of liver cells by specific T cells, more significant changes in AST level than the HBcAb level, or the number of patients distributed. The specific reasons are not clear.


## 5. Conclusions

To sum up, HBcAb quantification is a new index, which can reflect whether the liver is in the immune activation state of HBV infection, and is related to the inflammatory state of the host liver. The combined detection of HBcAb quantification and other indicators has showed promising efficiency for staging of IC and ENH and can assist the diagnosis and treatment of chronic HBV.



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