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  • Original Article
  • OPEN ACCESS

An-Luo-Hua-Xian Pill Improves the Regression of Liver Fibrosis in Chronic Hepatitis B Patients Treated with Entecavir

  • Yi-Qi Liu1,
  • Chi Zhang1,
  • Jia-Wen Li1,
  • Li-Hua Cao2,
  • Zhan-Qing Zhang3,
  • Wei-Feng Zhao4,
  • Qing-Hua Shang5,
  • Da-Zhi Zhang6,
  • An-Lin Ma7,
  • Qing Xie8,
  • Hong-Lian Gui8,
  • Guo Zhang9,
  • Ying-Xia Liu10,
  • Jia Shang11,
  • Shi-Bin Xie12,
  • Jun Li13,
  • Xu-Qing Zhang14,
  • Zhi-Qiang Zou15,
  • Yu-Ping Chen16,
  • Zong Zhang17,
  • Ming-Xiang Zhang18,
  • Jun Cheng19,
  • Fu-Chun Zhang20,
  • Li-Hua Huang21,
  • Jia-Bin Li22,
  • Qing-Hua Meng23,
  • Hai-Bin Yu23,
  • Yu-Qiang Mi24,
  • Yan-Zhong Peng25,
  • Zhi-Jin Wang26,
  • Li-Ming Chen27,
  • Fan-Ping Meng27,
  • Wan-Hua Ren28,
  • Lang Bai29,
  • Yi-Lan Zeng30,
  • Rong Fan31,
  • Xian-Zhi Lou32,
  • Wei-Feng Liang33,
  • Hui Liu34,
  • Hui Zhuang35,
  • Hong Zhao1,36,*  and
  • Gui-Qiang Wang1,36,* 
 Author information
Journal of Clinical and Translational Hepatology 2023;11(2):304-313

DOI: 10.14218/JCTH.2022.00091

Abstract

Background and Aims

Chronic hepatitis B (CHB) can cause liver fibrosis and lead to cirrhosis and cancer. As the effectiveness of antiviral therapy to reverse liver fibrosis is limited, We aimed to evaluate the effect of An-Luo-Hua-Xian pill (ALHX) on fibrosis regression in CHB patients treated with entecavir (ETV).

Methods

Treatment-naïve patients with CHB were randomly treated with ETV alone or combined with ALHX (ETV+ALHX) between October 1, 2013 and December 31, 2020. Demographic, laboratory, and liver histology data before and after 78 weeks of treatment were collected. The Ishak fibrosis score (F) was used and fibrosis regression required a decrease in F of ≥1 after treatment.

Results

A total of 780 patients were enrolled, and 394 with a second liver biopsy after treatment were included in the per-protocol population, 132 in ETV group and 262 in ETV+ALHX group. After 78 weeks of treatment, the fibrosis regression rate in the ETV+ALHX group was significantly higher than that of the ETV group at baseline F≥3 patients: 124/211 (58.8%) vs. 45/98 (45.9%), p=0.035. The percentage of patients with a decreased liver stiffness measurement (LSM) was higher in the ETV+ALHX group: 156/211 (73.9%) vs. 62/98 (63.%), p=0.056. Logistic regression analysis showed that ETV combined with ALHX was associated with fibrosis regression [odds ratio (OR)=1.94, p=0.018], and a family history of hepatocellular carcinoma was on the contrary. (OR=0.41, p=0.031).

Conclusions

ETV combined with ALHX increased liver fibrosis regression in CHB patients.

Keywords

Chronic hepatitis B, Liver fibrosis, Regression, Randomized controlled trial

Introduction

Chronic hepatitis B virus (HBV) infection is a serious public health problem, especially in China.1 Liver fibrosis caused by chronic hepatitis B (CHB) is the key in occurrence of liver cirrhosis and liver cancer. If CHB patients are not diagnosed and treated in time, most of them will die of decompensated liver cirrhosis or HCC. CHB accounts for 30% of all liver cirrhosis deaths and 40% of HCC deaths.2 Many studies have shown that antiviral therapy is effective in improving HBV-related liver fibrosis. The improvement rate of hepatic fibrosis in newly treated CHB patients with entecavir (ETV) for 48 weeks is reported as 32–39%.3 Although liver fibrosis was improved in more than half of patients, there are still no clearly recommended antifibrosis drugs.

In recent decades, through continuous research and experiments, traditional Chinese medicine (TCM) has made remarkable progress in the treatment of chronic liver disease, and many drugs for the treatment of liver fibrosis have been approved by the State Drug Administration of China. Studies have shown that TCM alone or combined with anti-HBV drugs was effective in delaying or reversing liver fibrosis/cirrhosis.4,5 An-Luo-Hua-Xian pill (ALHX, National Medical Products Administration Approval No. Z20010098) is a Chinese patent drug containing more than ten kinds of TCMs.6 The components are Rehmannia glutinosa (Di Huang), Radices pseudo-ginseng (San Qi), Leech (Shui Zhi), Bombyx batryticatus (Jiang Can), Pheretima (Di Long), Atractylodes macrocephalae ermina (Bai Zhu), Curcumae radix (Yu Jin), Bovis calculus (Niu Huang), Arcae concha (Wa Neng Zi), Moutan cortex (Mu Dab Pi), Radices rhei (Da Huang), raw Hordei fructus erminates (Sheng Mai Ya), Galli gigerii endothelium corneum (Ji Nei Jin) and powdered buffalo horn extract (Concentrated powder of Shui Niu Jiao). “Luo” in Chinese means collateral branches of the pathway system that runs the “Qi” and blood of the whole body, “Xian” means fibrosis, “An” means to calm or pacify and “Hua” means to soften or alleviate. ALHX regulates immunity, improve liver microcirculation, promote hepatocyte injury and repair collagen synthesis and promote collagen degradation.7 Our previous study found that in CHB patients with significant fibrosis (fibrosis grade ≥3), ETV combined with ALHX significantly improved the regression rate of liver fibrosis/cirrhosis compared with ETV alone.8 Larger studies are needed to confirm the curative effectiveness, develop standard treatment regimens for reversing liver fibrosis, and promote its clinical use. Based on previous investigations, we carried out a prospective randomized controlled trial to further clarify the antifibrosis effectiveness of ALHX in CHB patients.

Methods

Study design and patients

This multicenter, open-label prospective randomized controlled trial was conducted in 33 hospitals in mainland China between October 1, 2013 and December 31, 2020. Eligible patients consented to participate in the study. The inclusion criteria were (1) 18–70 years of age, (2) hepatitis B surface antigen (HBsAg+)-positive for ≥6 months or with pathologically confirmed chronic HBV infection, (3) HBV DNA positive, and (4) having regular follow-up. Exclusion criteria were (1) other types of viral hepatitis, i.e. hepatitis C virus, hepatitis D virus, or human immunodeficiency virus co-infection; and other chronic liver diseases (e.g., autoimmune hepatitis, drug-induced liver damage, genetic, nonalcoholic fatty liver); (2) decompensated manifestations of liver cirrhosis, including ascites, hepatic encephalopathy, gastrointestinal bleeding, hepatorenal syndrome, spontaneous bacterial peritonitis and other complications of liver cirrhosis or primary liver cancer; (3) unstable diabetes, hypertension, thyroid diseases and autoimmune diseases; (4) patients with serious diseases of heart, lung, kidney, brain, blood and other important organs with dysfunction; (5) patients with severe neurological and mental diseases (e.g., epilepsy, depression, mania, schizophrenia, etc.); (6) pregnancy or lactation.

Patients were randomly assigned 2:1 to receive either ETV+ALHX or ETV group by simple randomization with no stratification. Randomized treatment was open-label. The study coordinator assigned patients serial numbers that were linked to a computer-generated randomization list assigning the treatment regimens. ALHX 6 g/bid was administered orally. All patients signed informed consent forms before enrollment. Study procedures followed the ethical principles of the Helsinki Declaration and were approved by The Ethical Committees of Peking University First Hospital. The complete protocol for the clinical trial was registered at ClinicalTrials.gov (NCT01962155 and NCT03568578).

Liver biopsy and scoring system

Liver histological specimens (paraffin embedded) were collected by percutaneous ultrasound-guided liver biopsy and transported to a central laboratory for interpretation. Specimens were considered adequate for scoring if they were more than 2.0-cm long and contained at least 11 portal tracts. They were assessed by two professional liver pathologists from Capital Medical University affiliated Beijing You-An Hospital under double-blind conditions. If the results of the two pathologists were different, or the interpretation results differed with the local pathology, the results were determined by joint discussion with a third pathologist.

The evaluation of liver fibrosis (F) was divided into six stages (0–6), and necroinflammatory scores were assigned using a modified histological activity index (HAI) as described by Ishak et al.9 F≥3 was considered significant fibrosis. Fibrosis regression after treatment required a decrease in F ≥1, and progression required an increase in F of at least one stage. Histological improvement required a decrease of the HAI of at least two grades and no fibrosis progression.

Endpoints

The primary endpoints were liver fibrosis regression and reduction of liver stiffness measurement (LSM). LSM was divided into four levels,10,11 <7.4, 7.4 ≤ LSM <9.4, 9.4 ≤ LSM <12.4, and ≥12.4, LSM reduction required a decrease of at least one level after treatment. Secondary endpoints included histological improvement and noninvasive fibrosis index reduction, biochemical, virological, and serological responses. Noninvasive fibrosis indexes were fibrosis-4-score (FIB-4) and aspartate aminotransferase to platelet ratio index (APRI) were calculated from biochemical data. FIB-4 was divided into three levels,12,13 FIB-4 <1.45, FIB-4 ≥3.25 and an intermediate level, FIB-4 reduction required a decrease on one level, the same as LSM. APRI was divided into three levels,14 <1.00, ≥2.00 and an intermediate level, APRI reduction also required a decrease of at least one level. Qualitative assay of HBsAg was performed with available enzyme-linked immunosorbent assays (Roche Diagnostics Co., Penzberg, Germany), HBV DNA was assayed with Roche COBAS AmpliPrep/COBAS TaqMan assay (Roche Co., Penzberg, Germany) with a lower limit of detection of 20 IU/mL, and assay of serum hepatitis B core antibody (anti-HBc) was with a chemiluminescent particle immunoassay (Wantai Co., Xiamen, China). All assays were performed by a central laboratory at Peking University First Hospital. Biochemical data and transient elastography results (i.e. LSM) were collected at local study centers.

Statistical analysis

Quantitative variables were reported as medians and lower and upper quartiles or means±standard deviations (SDs). Categorical variables were reported as numbers and percentage. The t-test or Kruskal-Wallis test were used to compare continuous variables. Chi-square or Fisher’s exact test were used to compare categorical variables. Logistic regression was used to analyze factors associated with fibrosis regression. P-values <0.05 was considered statistically significant. The statistical analysis was performed with SPSS 24.0 (IBM Corp., Armonk, NY, USA).

Results

Study population

A total of 1,328 HBsAg (+) patients were screened between October 1, 2013 and December 31, 2020 and 780 CHB patients with liver biopsy were randomized in the intention-to-treat (ITT) population, 258 patients in the ETV group and 522 patients in the ETV+ALHX group. A total of 394 patients with a second liver biopsy after treatment were finally enrolled in the per-protocol (PP) population, 132 in the ETV group and 262 in the ETV+ALHX group. The enrollment protocol is shown in Figure 1. In the PP population, both groups included mainly male patients with an average age of about 40 years, and a body mass index (BMI) of 23–24 kg/m2. There were no significant difference between two groups in the baseline demographic and clinical characteristics except for HAI grade. The baseline characteristics of the PP population are shown in Table 1, the characteristics of the PP population with significant fibrosis are shown in Supplementary Table 1 and those of ITT population are shown in Supplementary Table 2.

Flowchart of enrollment.
Fig. 1  Flowchart of enrollment.
Table 1

Baseline demographic and clinical characteristics

ETVETV+ALHXp-value
N132262
Age, year40.68±11.5840.92±10.070.831
  <40, n (%)63 (47.7)125 (47.7)
  ≥40, n (%)69 (52.3)137 (52.3)
Male sex, n (%)104 (78.8)190 (72.5)0.177
BMI (kg/m2)23.52±3.0324.00±3.270.163
Family history of HBV infection, n (%)57 (43.2)131 (50.4)0.177
Family history of HCC, n (%)17 (12.9)31 (11.9)0.775
History of drinking, n (%)4 (3.0)5 (1.9)0.491
History of smoking, n (%)26 (19.7)65 (24.9)0.248
HBsAg positive duration, year10 (3, 20)11 (4, 20)0.270
WBC (×109/L)5.49±1.58, 5.365.33±1.45, 5.110.295
LY%34.99±8.62, 35.5035.13±8.88, 35.100.879
HGB (g/L)146.77±16.95, 150144.74±16.8, 1470.259
PLT (×109/L)161.08±50.10, 158.50156.87±52.67, 153.000.447
ALT (U/L)57.30 (37.71, 106.00)56.00 (34.00, 105.71)0.173
AST (U/L)39.38 (28.00, 67.95)41.00 (29.00, 67.95)0.053
ALP (U/L)86.00 (73.80, 112.00)82.46 (67.00, 108.64)0.516
GGT (U/L)37.65 (25.10, 73.80)41.33 (25.00, 78.15)0.872
ALB (g/L)43.37±4.57, 43.0542.60±4.84, 43.000.650
TBiL (μmol/L)15.40 (10.80, 19.60)14.60 (11.70, 20.00)0.251
DBiL (μmol/L)4.95 (3.35, 6.90)4.60 (3.40, 7.50)0.123
Cr (μmol/L)66.77±13.07, 66.0067.84±14.58, 66.900.960
TCHO (mmol/L)4.26±0.84, 4.094.40±0.86, 4.420.122
TG (mmol/L)1.10±0.55, 0.951.15±0.58, 1.020.411
AFP (ng/mL)4.59 (2.82, 7.59)4.60 (2.75, 15.32)0.815
INR1.09±0.12, 1.091.09±0.13, 1.080.975
HBV DNA (log10 IU/mL)5.78±1.78, 6.015.63±1.92, 5.750.470
HBsAg (log10 IU/mL)3.32±0.70, 3.413.36±0.71, 3.390.589
HBeAg (+), n (%)84 (63.6)138 (52.7)0.053
qAnti-HBc (log10 IU/mL)3.73±0.76, 3.753.85±0.77, 3.910.149
LSM (kPa)10.45 (7.80, 16.30)11.90 (8.30, 18.00)0.117
HAI0.025
  ≤ 4, n (%)41 (31.1)68 (26.0)
  5–6, n (%)50 (37.9)72 (27.5)
  7–9, n (%)30 (22.7)83 (31.7)
  ≥10, n (%)11 (8.3)39 (14.9)
F0.306
  <3, n (%)34 (25.8)51 (19.5)
  3–4, n (%)68 (51.5)153 (58.4)
  5–6, n (%)30 (22.7)58 (22.1)

All values shown are based on available data, and are means±SDs or medians (range). AFP, alpha fetoprotein; ALB, albumin; ALT, alanine aminotransferase; ALP, alkaline phosphatase; AST, aspartate aminotransferase; BMI, body mass index; Cr, creatinine; DBil, direct bilirubin; F, liver fibrosis score; GGT, glutamyl transferase; HAI, liver histologic activity scores of inflammatory; HBV, hepatitis B virus; HCC, hepatocellular carcinoma HGB, hemoglobin; INR, international normalized ratio; LSM, liver stiffness measurement; LY%, percentage of lymphocyte; PLT, platelet; qAnti-HBc, quantitative anti-hepatitis B core antigen; TBil, total bilirubin; TCHO, total cholesterol; TG, triglyceride; WBC, white blood cell.

Endpoints

Primary endpoints

Patients with baseline F≥3 in the ETV+ALHX group had a significantly higher rate of fibrosis regression (124/211, 58.8%) than those in the ETV group (45/98, 45.9%) after 78 weeks of treatment (p=0.035, Table 2). Patients in ETV+ALHX group also has a higher fibrosis regression rate than those in the ETV group [130/262 (49.6%) and 53/132 (40.2%); Table 2] but the difference was not significant (p=0.075). The distribution of F stage at baseline and after 78 weeks treatment for both groups are shown in Figure 2. Change in fibrosis after treatment compared with baseline is shown in Supplementary Table 3. We also measured fibrosis regression in LSM, APRI and FIB-4. Patients with a baseline F ≥3, LSM reduction rate in ETV+ALHX group (73.9%) was also higher than in the ETV group (63.3%), p=0.056. FIB-4 and APRI in the two groups before and after treatment are also shown in Table 2. The distribution of LSM, APRI and FIB-4 at baseline and after treatment and changes in the two groups before and after treatment are shown in Figure 3.

Table 2

Treatment efficacy of the ETV group and ETV+ALHX group

ETVETV+ALHXp-value
All patients, n132262
  ALT normalization, n (%)83/90 (92.2)159/178 (88.8)0.449
  HBV DNA decreased ≥2×lg, n (%)118 (89.4)238 (90.8)0.646
  HBV DNA≤20 IU/mL, n (%)100 (75.8)203 (77.5)0.702
  HBeAg clearance, n (%)26 (19.7)44 (16.9)0.498
  HBeAg seroconversion, n (%)9 (6.8)11 (13.3)0.271
  Histological improvement1, n (%)61 (46.2)145 (55.3)0.087
  HAI decreased ≥2, n (%)74 (56.1)173 (66.0)0.053
  Fibrosis changes2
    Regression, n (%)53 (40.2)130 (49.6)0.075
    Progression, n (%)30 (25.1)45 (17.2)0.185
  LSM degradation3, n (%)80 (60.6)179 (68.7)0.109
  FIB-4 degradation4, n (%)47 (35.6)96 (36.6)0.840
  APRI degradation5, n (%)47 (35.6)107 (40.8)0.315
F≥3 patients, n98211
  ALT normalization, n (%)65/70 (92.9)126/144 (87.5)0.235
  HBV DNA decreased ≥2log10, n (%)90 (91.8)191 (90.5)0.708
  HBV DNA ≤20 IU/mL75 (76.5)166 (78.7)0.672
  HBeAg clearance, n (%)14 (14.3)33 (15.8)0.733
  HBeAg seroconversion, n (%)1 (1.0)8 (3.8)0.174
  Histological improvement1, n (%)48 (49.0)123 (58.3)0.125
  HAI decreased ≥2, n (%)52 (53.1)142 (67.3)0.016
  Fibrosis changes2
    Regression, n (%)45 (45.9)124 (58.8)0.035
    Progression, n (%)13 (13.3)29 (13.7)0.909
  LSM degradation3, n (%)62 (63.3)156 (73.9)0.056
  FIB-4 degradation4, n (%)33 (33.7)77 (36.5)0.630
  APRI degradation5, n (%)37 (37.8)88 (41.7)0.510

1HAI decreased ≥2 grades and fibrosis stage was not increased after treatment. 2Regression required a decrease of ≥1 in fibrosis stage after treatment; Progression required an increase of ≥1 in fibrosis stage after treatment. 3LSM was divided into four grades: <7.4, 7.4≤LSM <9.4, 9.4≤ LSM <12.4 and ≥12.4, grade decreased ≥1 after treatment. 4FIB-4 was divided into three grades: <1.45, 1.45≤FIB-4<3.25, and ≥3.25, grade decreased ≥1 after treatment. 5APRI was divided into three grades: <1.00, 1.00≤ APRI<2.00, and ≥2.00, grade decreased ≥1 after treatment. ALT, alanine aminotransferase; HAI, liver histologic activity scores of inflammatory; HBV, hepatitis B virus; ALHX, An-Luo-Hua-Xian; APRI, aspartate aminotransferase to platelet ratio index; ETV, Entecavir; F, liver histologic fibrosis score; FIB-4, fibrosis-4-score.

Distribution of fibrosis scores in both study groups before and after 78 weeks of treatment.
Fig. 2  Distribution of fibrosis scores in both study groups before and after 78 weeks of treatment.
Distribution of LSM, APRI and FIB-4 in the study groups before and after treatment (A, B, C) and changes in the groups before and after treatment (D, E, F).
Fig. 3  Distribution of LSM, APRI and FIB-4 in the study groups before and after treatment (A, B, C) and changes in the groups before and after treatment (D, E, F).

Secondary endpoints

The rates (i.e. percentages) of patients with normalized ALT and those with a HBV DNA decrease ≥2-times the log value, HBV DNA ≤20 IU/mL, HBeAg clearance, and HBeAg seroconversion in the ETV+ALHX group and ETV group were not significantly different (Table 2). The percentage of patients with baseline F≥3 and an HAI decrease ≥2 grades was significantly higher in the ETV+ALHX group than in the ETV group (67.3% vs. 53.1%, p=0.016). Histological improvement rate in ETV+ALHX group also has a higher trend in both all patients (55.3% vs. 46.2%) and F≥3 patients (58.3% vs. 49.0%, Table 2).

Factors related to fibrosis regression

We divided significant fibrosis patients (baseline F≥3) into regression and no regression groups (the stage of baseline F was equal to or increased after treatment) according to the treatment outcome. ETV+ALHX group had a higher rate of fibrosis regression (73.4% vs. 62.1%, p=0.035) and family history of HCC made patients more difficult to achieve fibrosis regression (7.7% vs. 17.1%, p=0.026). Variables with p <0.2 in univariate analysis were selected for logistic regression and multivariate analysis, we found that combined with ALHX (OR=1.94, 95% CI: 1.12–3.37, p=0.018), no family history of HCC, high platelet count and low international normalized ratio made a significant difference related to fibrosis regression. Detailed results were showed in Table 3.

Table 3

Analysis of factors associated with fibrosis regression in F≥3 patients

RegressionNo regressionUnip-value1Multip-value2
N169140
ETV+ALHX group124 (73.4)87 (62.1)4.460.0351.94 (1.12, 3.37)0.018
Age (years)41.12±10.5142.34±10.72−1.000.316
<40, n (%)79 (46.7)58 (41.4)0.880.349
Male sex, n (%)121 (71.6)102 (72.9)0.060.81
Family history of HBV infection, n (%)81/167 (48.5)72 (51.4)0.260.610
Family history of HCC, n (%)13/168 (7.7)24 (17.1)6.390.0110.41 (0.18, 0.92)0.031
History of drinking, n (%)5 (3.0)4 (2.9)0.000.958
HBsAg positive duration, year11 (4, 20)10 (2, 20)−0.260.794
BMI (kg/m2)23.98±3.43,23.6224.22±3.04,24.22−0.640.524
WBC (×109/L)5.47±1.58,5.305.32±1.56,5.180.770.443
LY%34.93±7.84,34.634.83±9.61,35.90.110.918
HGB (g/L)143.91±17.38,147146.22±16.76,148−1.190.237
PLT (×109/L)157.57±52.26,155.00144.86±46.07,143.002.250.0261.00 (1.00, 1.01)0.012
ALT (U/L)56.00 (38.00, 101.28)56.00 (35.00, 101.28)1.160.265
AST (U/L)41.00 (28.00, 70.00)41.00 (30.09, 69.26)1.110.239
ALP (U/L)87.15 (71.05, 109.22)89.32 (71.28, 114.91)−0.110.914
GGT (U/L)46.00 (28.50, 80.00)42.78 (24.91, 83.81)−0.160.870
ALB (g/L)42.46±4.91,43.0041.68±4.81,42.001.410.1610.943
TBil (μmol/L)14.70 (11.40, 20.80)15.90 (11.45, 20.30)1.270.1770.217
DBil (μmol/L)4.70 (3.21, 7.50)4.70 (3.40, 7.65)1.710.0650.077
Cr (μmol/L)66.97±14.13,66.0065.81±12.93,65.400.750.457
TCHO (mmol/L)4.42±0.93,4.314.23±0.74,4.201.850.0600.688
TG (mmol/L)1.19±0.64,1.011.08±0.50,1.021.590.1130.798
AFP (ng/mL)4.53 (2.94, 12.98)5.00 (3.10, 16.45)−0.080.940
INR1.10±0.11,1.081.11±0.15,1.10−1.430.1540.10 (0.01, 0.87)0.037
HBV DNA (log10 IU/mL)5.62±1.90,5.685.62±1.75,5.83−0.260.797
HBsAg (log10 IU/mL)3.32±0.69,3.383.22±0.66,3.311.320.1890.092
HBeAg (+), n (%)93/167 (55.7)80/136 (58.8)0.300.583
qAnti-HBc (log10 IU/mL)3.88±0.69,3.903.81±0.83,3.820.750.448
LSM (kPa)11.90 (8.50, 18.55)13.45 (8.90, 19.90)−0.640.520
HAI2.420.490
  ≤4, n (%)38 (22.5)42 (30.0)
  5–6, n (%)53 (31.4)39 (27.9)
  7–9, n (%)49 (29.0)39 (27.9)
  ≥10, n (%)29 (17.2)20 (14.3)
F30.670.0002.49 (1.81, 3.42)0.000
  3–499 (58.6)122 (87.1)
  5–670 (41.4)18 (12.9)

ALHX, An-Luo-Hua-Xian; ETV, Entecavir; F, liver histologic fibrosis score; HAI, liver histologic activity scores of inflammatory; HBV, hepatitis B virus; HCC, hepatocellular carcinoma; AFP, alpha fetoprotein; ALB, albumin; ALT, alanine aminotransferase; ALP, alkaline phosphatase; AST, aspartate aminotransferase; BMI, body mass index; Cr, creatinine.

Safety

Two patients in the ETV+ALHX group had mild diarrhea, but after evaluation by the attending physician and symptomatic treatment, the symptoms were relieved soon. The dosage was not reduced. No noticeable severe adverse effects related to the drug use were observed during the study in groups. Two patients in the ETV+ALHX group withdrew from the study because of liver cancer that was judged not to be associated with treatment. One is 57-year-old with a family history of HCC and the other is a 33-year-old with a known HBsAg positive duration of 29 years.

Discussion

In this study, we found that ALHX was effective for the regression of liver fibrosis in CHB patients using ETV, especially in those with baseline F≥3 (p=0.035). Using transient elastography to estimate liver fibrosis, the LSM degradation rate was higher in the ETV+ALHX group than the ETV group in baseline F≥3 patients (73.9% vs. 63.3%, p=0.056), noninvasive fibrosis indexes such as FIB-4 and APRI, the degradation rates in ETV+ALHX group were also higher, but more patients may be needed to reach statistical significance. We calculated patients with no or mild liver fibrosis (F<3) and the effect of adding ALHX may be more inclined to maintain liver in mild fibrosis: Fibrosis was stable in 9 (9/34, 26.5%) patients in the ETV group and in 29 (29/51, 56.9%) in the ETV+ALHX group, p=0.006. Fibrosis progressed in 17 (17/34, 50.0%) ETV patients and 16 (16/51, 31.4%) in ETV+ALHX patients, p=0.084. In significant fibrosis patients (baseline F=3–4), the decrease rate of F to <3 in ETV+ALHX group was higher than that in ETV group (30.1% vs. 19.1%, p=0.090), and in cirrhosis patients (baseline F=5–6), the rates were 17.2% and 3.3% (p=0.089). The rates of cirrhosis regression to <5 after treatment in the two groups were 75.9% and 63.3% (p=0.217). This tendency is consistent with other studies such as Kong et al.15 who found that ETV combined with ALHX increased the survival rate of decompensated hepatitis B patients after 5-year (67.85% vs. 26.19%, p<0.01). Animal model studies have shown that ALHX has a positive role in anti-fibrosis. Lu et al.16 showed it reversed CCl4-induced liver fibrosis in rats, and its mechanism may be through affecting transforming growth factor beta 1, which inhibits the activation of hepatic stellate cells (HSC) and has an anti-fibrosis role. Wang et al.17 found that the antifibrosis effect of ALHX may occur through the upregulation of peroxisome proliferator-activated receptor-gamma (PPARγ) expression and downregulation of the nuclear factor-kappa B/inhibitor α of NF-κB (NF-κB/IκBα) signaling pathway. PPARγ has a role in adipocyte differentiation and lipid metabolism. Its antifibrotic effect may act by regulating the adipogenic phenotype of HSC.18 NF-κB acts as a key regulator of inflammation, NF-κB transcriptional activity has been shown to increase and be maintained at a high level when HSCs are activated.18 However, more large clinical studies are needed to clarify the antifibrosis effect and its mechanisms.

Other Chinese patent drugs such as Biejia-Ruangan (BR) and Fu-Zheng-Hua-Yu (FZHY) have an antifibrosis effect in clinical therapy. Rong et al.19 in a study of 1,000 CHB patients (705 with a second biopsy), reported that the rate of fibrosis regression after 72 weeks of treatment was significantly higher in the ETV+BR group than in the ETV group (40% vs. 31.8%, p=0.0069). Huang et al.20 found that BR inhibited hepatic collagen deposition and improved liver injury in rats with CCl4-induced hepatic fibrosis, which was associated with downregulation of the transforming growth factor beta–β-Smad pathway. As early as 2005, a multicenter clinical trial confirmed the antifibrosis effectiveness and safety of FZHY in CHB patients.21 A single-center clinical study by Gui et al.,22 which included 46 CHB patients with a second liver biopsy, reported that ETV+ FZHY had a significantly higher rate of fibrosis regression (82% vs. 54%, p<0.05). In mice with fibrosis induced by CCl4 and dimethylnitrosamine, it was observed that FZHY not only was effective against fibrosis, it also improved CCl4 and dimethylnitrosamine-induced sinus capillary formation and expression of angiogenesis and angiogenesis-related factors.23 Hepatic sinusoidal capillarization and angiogenesis in the fibrous septum connecting the portal vein and the central hepatic vein are two key events leading to liver cirrhosis.24 Further controlled studies are needed to compare the efficacy of these traditional Chinese medicines.

Loomba et al.25 found that a family history of HCC multiplied the risk of HCC associated with HBV infection. The cumulative risk was 15.8% with vs. 7.5% without a family history (p<0.001). Our study found that a family history of HCC affected the regression of liver fibrosis, so it may lead to the progression of fibrosis and eventually develop into liver cirrhosis and HCC. Therefore, in guidelines for the diagnosis and treatment of CHB, it is suggested that patients with a family history of HCC should start antiviral treatment.3,26 Univariate and multivariate analysis in our study also showed that in patients with significant fibrosis, there was a negative correlation between histological evidence of fibrosis regression and a family history of HCC. As we know, HBV has at least nine different genotypes. Genotypes B and C are the most prevalent in China, and genotype C is associated with earlier progression to HCC.27 Our study provides additional support for the guideline recommendation for starting combined antifibrosis and antiviral treatment of these CHB patients as soon as possible. However, the relationship between a family history of HCC and lack of fibrosis regression and the incidence of HCC needs further study to clarify the cause.

This study has several limitations. Firstly, nearly half the patients with a first liver biopsy had a second one after treatment. We tried our best to communicate with patients, but partly because of COVID-19, some patients could not return to hospital for follow-up. Secondly, ALHX is a patent Chinese drug containing more than ten kinds of traditional Chinese medicines. We have not studied the antifibrosis effectiveness of single components. Our study showed that ALHX combined with antiviral therapy reversed liver fibrosis, but its specific antifibrosis components need to be studied. Thirdly, our study did not use a placebo in the ETV group and only observed the results of 78 weeks of treatment. We need longer patient follow-up and are working on it.

Conclusion

In CHB patients using ETV, combined treatment with ALHX increased the rates of liver fibrosis regression after 78 weeks treatment in baseline F≥3 patients as shown by invasive liver biopsy or noninvasive methods such as LSM, etc. Logistic regression analysis found that ALHX was associated with the regression outcome and that a family history of HCC had the opposite association. In patients with significant fibrosis, we recommend combining antiviral therapy and ALHX as soon as possible.

Supporting information

Supplementary Table 1

Baseline demographic and clinical characteristics in F≥3 patients.

(DOCX)

Click here for additional data file.

Supplementary Table 2

Baseline demographic and clinical characteristics of the intent to treat population.

(DOCX)

Click here for additional data file.

Supplementary Table 3

Difference from fibrosis baseline stage after treatment.

(DOCX)

Click here for additional data file.

Abbreviations

ALHX: 

An-Luo-Hua-Xian

APRI: 

aspartate aminotransferase to platelet ratio index

CHB: 

Chronic Hepatitis B

ETV: 

Entecavir

F: 

liver histologic fibrosis score

FIB-4: 

fibrosis-4-score

HAI: 

liver histologic activity scores of inflammatory

HBV: 

hepatitis B virus

HCC: 

hepatocellular carcinoma

LSM: 

liver stiffness measurement

OR: 

odds ratio

TCM: 

traditional Chinese medicine

Declarations

Acknowledgement

We thank all the patients who participated in this study, as well as all the researchers in local centers. In addition, we thank Cosunter Pharmaceutical Technology and Sunlon Pharmaceutical Technology for providing free drugs, Ashermed Pharmaceutical Technology Co. Ltd for its participation in data checking and collation.

Ethical statement

All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation and with the Helsinki Declaration. Informed consent was obtained from all patients for being included in the study.

Data sharing statement

Data supporting the findings of this study are available within the article and its supplementary materials.

Funding

This study was supported by National Science and Technology Major Project (2013ZX10002005 and 2017ZX10203202).

Conflict of interest

The authors have no conflict of interests related to this publication.

Authors’ contributions

Conceptualization (Liu YQ, Zhao H, Wang GQ), methodology (Liu YQ, Zhang C, Li JW), formal analysis and investigation, (Liu YQ, Zhang C, Li JW), writing - original draft preparation (Liu YQ), writing - review and editing (Zhuang H, Hong Zhao, Zhao H, Wang GQ), funding acquisition (Wang GQ), material preparation and data collection (Cao LH, Zhang ZQ, Zhao WF, Shang QH, Zhang DZ, Ma AL, Xie Q, Gui HL, Zhang G, Liu YX, Shang J, Xie SB, Li J, Zhang QX, Zou ZQ, Chen YP, Zhang Z, Zhang MX, Cheng J, Zhang FC, Huang LH, Li JB, Meng QH, Yu HB, Mi YQ, Peng YZ, Wang ZJ, Chen LM, Meng FP, Ren WH, Bai L, Zeng YL, Fan R, Lou XZ, Liang WF, Liu H; Supervision: Zhao H, Wang GQ).

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  • Journal of Clinical and Translational Hepatology
  • pISSN 2225-0719
  • eISSN 2310-8819

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