Abstract
Purpose
Chronic hepatitis B (CHB) and metabolic associated fatty liver disease (MAFLD) are both important public health problems. The effect of concomitant MAFLD on patients with CHB is still unclear. This study aimed to explore the influence of MAFLD on liver fibrosis and inflammation in CHB patients with different hepatitis B e antigen (HBeAg) status.
Patients and Methods
We retrospectively collected the clinical data of 399 treatment-naïve CHB patients who underwent liver biopsy. All patients were divided into two groups (HBeAg± group). Logistic regression analysis was used to identify factors associated with liver inflammatory activity and significant fibrosis in patients with CHB. Multivariable logistic regressions were repeated in subgroups stratified by HBeAg status.
Results
In patients with CHB, MAFLD was independently associated with a risk of moderate-to-severe liver activity and significant fibrosis (P <0.05). In the HBeAg-negative group, patients with MAFLD had significantly higher levels of alanine aminotransferase (ALT) (P <0.05) and more severe liver inflammatory activity and fibrosis (P <0.05) compared to those without MAFLD. MAFLD was independently associated with a risk of moderate-to-severe liver activity (A ≥3: OR 3.97, 95% CI 1.71–9.22, P =0.001) and significant fibrosis (F ≥2: OR 2.02, 95% CI 1.09–3.73, P =0.026). In the HBeAg-positive group, MAFLD was found to be independently associated with moderate-to-severe liver activity (OR 2.44, 95% CI 1.03–5.79, P =0.044) but not fibrosis (P =0.618).
Conclusion
MAFLD is associated with the risk of liver fibrosis and inflammatory activity in HBeAg-negative CHB patients. Sufficient attention should be paid to the prevention and treatment of MAFLD in patients with CHB, especially in HBeAg-negative patients.
Keywords: chronic hepatitis B, metabolic associated fatty liver disease, nonalcoholic fatty liver disease, hepatitis B e antigen
Plain Language Summary
Metabolic associated fatty liver disease (MAFLD) is a newly defined chronic liver disease, which refers to the presence of fatty liver and metabolic dysfunction. It affects a third of the global population. Chronic hepatitis B (CHB) is the main cause of liver-related mortality in Asia. In patients with CHB, hepatitis B e antigen (HBeAg) is closely related to the risk of adverse outcomes. To better understand the influence of MAFLD on liver fibrosis and inflammation in CHB patients with different HBeAg status, we used logistic regression analysis to identify factors associated with liver inflammatory activity and significant fibrosis in patients with CHB. In HBeAg-negative patients, MAFLD is independently associated with a risk of moderate-to-severe liver activity and significant fibrosis. But in HBeAg-positive patients, MAFLD is found to be independently associated only with moderate-to-severe liver activity. MAFLD is associated with the risk of liver fibrosis and inflammatory activity in HBeAg-negative CHB patients. It may aggravate liver damage in HBeAg-negative CHB patients. Sufficient attention should be paid to the prevention and treatment of MAFLD in patients with CHB, especially in HBeAg-negative patients.
Introduction
Chronic hepatitis B (CHB) is a serious threat to human health. It can lead to decompensated liver cirrhosis, hepatocellular carcinoma, and even death.1 More than 250 million people worldwide suffered from chronic hepatitis B virus (HBV) infection and 887,000 died from cirrhosis and liver cancer in 2015, according to the World Health Organization (WHO) report.2 China is one of the countries with the highest burden of HBV infection.3 Many virological parameters are closely related to the risk of adverse outcomes, like HBV DNA quantification and hepatitis B e antigen (HBeAg) status.4–6 HBeAg is a protein secreted by HBV-infected hepatocytes. It is an important immunomodulator in chronic HBV infection and is closely related to the immune tolerance of HBV in CHB patients.7–9 CHB patients with different HBeAg status have significant differences in viral replication and disease severity.10–12
Metabolic associated fatty liver disease (MAFLD) is the new definition of the previous nonalcoholic fatty liver disease (NAFLD) and refers to the presence of fatty liver and one or more of the metabolic risk factors (overweight/obese, type 2 diabetes mellitus, metabolic dysregulation).13 MAFLD is an important global public health problem. It affects a third of the global population.14 MAFLD is associated with adverse outcomes such as cardiovascular events, hepatocellular cancer, and mortality.15–21
In recent years, with the improvement of living standards, the prevalence of CHB patients combined with MAFLD has increased incrementally, the epidemiologic data worldwide of which is lacking. A recent study conducted in China reported that the prevalence of MAFLD among patients with CHB is up to 32.2% (366/1135).22 The interaction between CHB and MAFLD has received increasing attention. Previous studies were mostly based on the old definition of “NAFLD”, and the results are contradictory. Some researchers believed that NAFLD aggravates liver damage in patients with CHB, ultimately promoting the occurrence of liver cirrhosis and liver cancer.23–25, However, other researchers believed that liver steatosis may inhibit HBV replication, facilitate HBsAg clearance, and reduce the risk of cirrhosis and human hepatocellular carcinoma (HCC) in patients with CHB.26–28 These “contradictory” conclusions confuse doctors and patients. This study aimed to explore the influence of MAFLD on liver fibrosis and inflammation in patients with HBeAg-positive and HBeAg-negative CHB, thus providing a basis for the formulation of health management strategies for patients with CHB and MAFLD.
Materials and Methods
Study Population
This study retrospectively enrolled patients with CHB who had undergone liver biopsy at the Third Affiliated Hospital of Sun Yat-Sen University between December 2009 and August 2020 without receiving antiviral therapy. The inclusion criteria were as follows: 1) 18–65 years old; 2) HBsAg positive for at least 6 months; and 3) underwent liver biopsy before August 2020. The exclusion criteria were: 1) HBsAg negative before the biopsy; 2) Combined with the following liver diseases: other viral hepatitis, alcoholic liver disease, inherited liver disease, drug-induced liver injury, liver cancer; 3) Combined with severe acute infection; 4) Received anti-hepatitis B virus treatment before; 5) long-term treatment with antihypertensive, hypoglycemic or lipid-lowering drugs. Studies were conducted in accordance with the Declaration of Helsinki. Ethical approval was given by the medical ethics committee of the Third Affiliated Hospital of Sun Yat-Sen University, and informed consent was waived because we used de-identified retrospective data (Approval number: zssy[2020]02–191-01).
Data Collection
All subjects had complete data. Demographic data included age, gender, height, weight, body mass index (BMI), blood pressure, history of alcohol consumption, disease, and medication. Biochemical data were obtained prior to biopsy on the day of biopsy, including serum aspartate aminotransferase (AST), alanine aminotransferase (ALT), alkaline phosphatase (ALP), gamma-glutamyl transpeptidase (GGT), total bile acid (TBA), cholinesterase (CHE), fasting blood glucose (FBG), triacylglycerol (TRIG), high-density lipoprotein cholesterol (HDL), low-density lipoprotein cholesterol (LDL), creatinine (CREAT), and uric acid (UA). Viral data were collected from their most recent results before biopsy within 6 months, including serum HBV DNA level and the HBeAg status.
The biopsy data were obtained from the Pathology Department. An experienced pathologist blinded to the clinical data reread the liver biopsy tissue with hematoxylin-eosin staining and reticulated fiber dyeing. Liver steatosis, inflammation and fibrosis were reported according to the Nonalcoholic Steatohepatitis Clinical Research Network (NASH CRN) and Scheuer scoring system.29,30
Definitions and Criteria
In this study, MAFLD was defined as at least 5% liver steatosis pathologically, and the patients had one of the following metabolic risks: 1) overweight or obese (BMI≥23 kg/m2); 2) type 2 diabetes mellitus (T2DM); and 3) evidence of metabolic dysregulation.17 Metabolic dysregulation was defined as the presence of two or more of the following conditions: 1) high blood pressure (HBP): blood pressure ≥130/85 mmHg or hypotensive drug treatment; 2) TRIG ≥1.70 mmol/L or lipid-lowering drug treatment; 3) HDL-c < 1.0 mmol/L for males and < 1.3 mmol/L for females or lipid-regulating drug treatment; and 4) prediabetes. Three additional proposed criteria for metabolic dysregulation (waist circumference, Homeostasis Model Assessment index and high sensitivity C reactive proteins) were not available in the medical records.
CHB was defined as the persistent presence of serum HBV surface antigen (HBsAg) for >6 months. Patients with MAFLD and CHB (MAFLD-CHB) were defined as patients fulfilling the criteria for both MAFLD and CHB. Non-MAFLD-CHB was defined as patients who met the diagnostic criteria for CHB but did not meet the diagnostic criteria for MAFLD.
The liver activity score (A) was defined as the sum of the lobular inflammation score and the ballooning score. Moderate-to-severe liver activity was defined as a liver activity score (A) ≥ 3. Significant fibrosis was defined as fibrosis staging of the NASH CRN system (F) ≥ 2.
Statistical Analysis
All statistical analyses were performed with SPSS 25.5. Continuous variables are expressed as medians and interquartile ranges, and categorical variables are expressed as numbers and percentages. The Wilcoxon rank-sum test was used for continuous variables, and the chi-squared test was used for categorical variables. Logistic regression analysis was used to determine the relationship between MAFLD and liver pathological injury (A ≥3 and F ≥2). The variance inflation factor (VIF) was used to evaluate collinearity; features with VIF >10 were excluded. Variables with P <0.15 in the univariate analysis were included in the multivariate analysis. A two-tailed P value <0.05 was considered statistically significant.
Subgroup analyses: Multivariable logistic regressions were repeated to assess potential differential effects of MAFLD on liver inflammation and fibrosis in HBeAg-negative and HBeAg-positive subgroups. P-values for differences in associations among patients with HBeAg-positive and HBeAg-negative CHB were calculated with 2-sample t-tests based on the estimated changes and standard errors, and P-value <0.05 was considered statistically significant.
Results
Baseline Characteristic
The baseline characteristics were shown in supplementary materials (Tables S1 and S2). A total of 399 patients with CHB were enrolled, including 219 HBeAg-negative patients and 180 HBeAg-positive patients. MAFLD was diagnosed in 102 (25.6%) participants. Compared with HBeAg-positive patients, HBeAg-negative patients had less liver inflammatory activity (A ≥3: 37 [16.9] vs 47 [26.1], P =0.025; G ≥2: 103 [47.0] vs 107 [59.4], P =0.013), and no significant differences in liver steatosis or fibrosis were found between HBeAg-positive patients and HBeAg-negative patients (P >0.05).
Comparison Between MAFLD-CHB and Non-MAFLD-CHB in HBeAg-Positive and HBeAg-Negative Patients
As shown in Tables 1 and 2, compared with the non-MAFLD-CHB patients, patients with MAFLD-CHB had a significantly higher proportion of males and a higher prevalence of HBP. Irrespective of their HBeAg status, patients with MAFLD-CHB had significantly higher levels of GGT, CHE, CREAT, UA and TRIG, but lower levels of HDL (all P <0.05). The median age and HBV DNA quantitation between MAFLD-CHB patients and non-MAFLD-CHB patients were not significantly different (P >0.05).
Table 1.
HBeAg- | HBeAg+ | |||||
---|---|---|---|---|---|---|
Non-MAFLD-CHB (n=155) | MAFLD-CHB (n=64) | P | Non-MAFLD-CHB (n=142) | MAFLD-CHB (n=38) | P | |
Male (n [%]) | 106[68.4] | 56[87.5] | 0.003 | 94[66.2] | 35[92.1] | 0.002 |
Age (Y) | 39(34–46) | 39(34–46) | 0.733 | 33(29–37) | 34(30–38) | 0.440 |
T2DM (n [%]) | 3[1.9] | 3[4.7] | 0.497 | 1[0.7] | 1[2.6] | 0.379 |
BMI (kg/m2) | 22.58(20.89–24.61) | 25.37(23.95–27.33) | <0.001 | 22.04(20.23–24.4) | 25.43(24.22–27.8) | <0.001 |
HBP (n [%]) | 25[16.1] | 26[40.6] | <0.001 | 17[12.0] | 15[39.5] | <0.001 |
HBV DNA (log10 IU/mL) | 4.27(3.05–5.4) | 3.93(3.31–5.14) | 0.671 | 7.47(5.99–8.23) | 7.37(6.03–8.23) | 0.864 |
AST (U/L) | 27(22–34) | 27(22–33) | 0.920 | 32(25–47) | 31(24–38) | 0.461 |
ALT (U/L) | 32(23–41) | 38(27–48) | 0.016 | 40(28–60) | 49(34–81) | 0.082 |
GGT (U/L) | 24(18–36) | 32(23–44) | 0.002 | 26(18–39) | 37(25–53) | 0.002 |
ALP (U/L) | 64(52–76) | 74(62–88) | 0.003 | 67(55–79) | 70(62–86) | 0.066 |
TBA (µmol/L) | 3.7(2.1–9.1) | 4.2(2.1–7.58) | 0.922 | 4.5(2.6–10.6) | 4.8(2.3–9.2) | 0.446 |
CHE (U/L) | 8731(7056–9969) | 9388(8387–10,692) | 0.001 | 7974(6827–9132) | 9410(8688–10,480) | <0.001 |
FBG (mmol/L) | 5.12(4.68–5.47) | 5.25(4.93–6.28) | 0.011 | 4.9(4.44–5.36) | 4.95(4.59–5.92) | 0.186 |
CREAT (µmol/L) | 71(59–84) | 78.5(70–90) | 0.003 | 70.5(56.8–82) | 78.8(71.7–84.5) | 0.003 |
UA (µmol/L) | 358(288–400) | 403(343–472) | <0.001 | 360(301–401) | 373(328–468) | 0.027 |
TRIG (mmol/L) | 1(0.8–1.35) | 1.49(1.08–2.23) | <0.001 | 1.04(0.81–1.39) | 1.53(1.07–2.11) | <0.001 |
HDL (mmol/L) | 1.23(1.04–1.47) | 1.08(0.93–1.25) | <0.001 | 1.28(1.08–1.56) | 1.01(0.89–1.28) | <0.001 |
LDL (mmol/L) | 3.12(2.63–3.76) | 3.24(2.75–3.78) | 0.581 | 3.12(2.69–3.74) | 3.33(2.63–3.81) | 0.488 |
Notes: All data are expressed as medians (interquartile range), or n [%], as appropriate; P-values <0.05 were considered statistically significant and have been bolded; Non-MAFLD-CHB, defined as patients who met the diagnostic criteria for CHB but did not meet the diagnostic criteria for MAFLD; MAFLD-CHB, defined as patients fulfilling the criteria for both MAFLD and CHB.
Abbreviations: CHB, chronic hepatitis B; MAFLD, metabolic associated fatty liver disease; HBeAg, hepatitis B e antigen; T2DM, type 2 diabetes mellitus; BMI, body mass index; HBP, high blood pressure; AST, serum aspartate aminotransferase; ALT, alanine aminotransferase; GGT, gamma-glutamyl transpeptidase; ALP, alkaline phosphatase; TBA, total bile acid; CHE, cholinesterase, FBG, fasting blood glucose; CREAT, creatinine; UA, uric acid; TRIG, triacylglycerol; HDL-c, high-density lipoprotein cholesterol; LDL, low-density lipoprotein cholesterol.
Table 2.
HBeAg- | HBeAg+ | |||||
---|---|---|---|---|---|---|
Non-MAFLD-CHB (n=155) | MAFLD-CHB (n=64) | P | Non-MAFLD-CHB (n=142) | MAFLD-CHB (n=38) | P | |
NASH CRN | ||||||
Steatosis | <0.001 | <0.001 | ||||
S0 | 149[96.1] | 0[0.0] | 135[95.1] | 0[0.0] | ||
S1 | 6[3.9] | 53[82.8] | 7[4.9] | 30[78.9] | ||
S23 | 0[0.0] | 11[17.2] | 0[0.0] | 8[21.1] | ||
Lobular inflammation | 0.023 | 0.126 | ||||
0 | 24[15.5] | 3[4.7] | 18[12.7] | 1[2.6] | ||
1 | 101[65.2] | 39[60.9] | 70[49.3] | 19[50.0] | ||
2 | 21[13.5] | 14[21.9] | 31[21.8] | 13[34.2] | ||
3 | 9[5.8] | 8[12.5] | 23[16.2] | 5[13.2] | ||
Ballooning | <0.001 | <0.001 | ||||
0 | 129[83.2] | 20[31.3] | 124[87.3] | 15[39.5] | ||
1 | 21[13.5] | 39[60.9] | 16[11.3] | 19[50.0] | ||
2 | 5[3.2] | 5[7.8] | 2[1.4] | 4[10.5] | ||
Activity score | <0.001 | 0.004 | ||||
A≥3 | 16[10.3] | 21[32.8] | <0.001 | 30[21.1] | 17[44.7] | 0.003 |
A≥4 | 6[3.9] | 7[10.9] | 0.089 | 5[3.5] | 5[13.2] | 0.057 |
Fibrosis stage | 0.006 | 0.615 | ||||
F0 | 16[10.3] | 4[6.3] | 15[10.6] | 1[2.6] | ||
F1 | 67[43.2] | 19[29.7] | 61[43.0] | 16[42.1] | ||
F2 | 28[18.1] | 26[40.6] | 33[23.2] | 11[28.9] | ||
F3 | 23[14.8] | 11[17.2] | 19[13.4] | 6[15.8] | ||
F4 | 21[13.5] | 4[6.3] | 14[9.9] | 4[10.5] | ||
F≥2 | 72[46.5] | 41[64.1] | 0.018 | 33[23.2] | 10[26.3] | 0.693 |
Scheuer | ||||||
Activity grade | 0.201 | 0.579 | ||||
G01 | 85[54.8] | 31[48.4] | 56[39.4] | 17[44.7] | ||
G2 | 43[27.7] | 23[35.9] | 53[37.3] | 13[34.2] | ||
G3 | 13[8.4] | 8[12.5] | 22[15.5] | 7[18.4] | ||
G4 | 14[9.0] | 2[3.1] | 11[7.7] | 1[2.6] | ||
Fibrosis stage | 0.538 | 0.276 | ||||
S`0 | 16[10.3] | 5[7.8] | 16[11.3] | 1[2.6] | ||
S`1 | 30[19.4] | 13[20.3] | 33[23.2] | 14[36.8] | ||
S`2 | 67[43.2] | 31[48.4] | 60[42.3] | 13[34.2] | ||
S`3 | 21[13.5] | 11[17.2] | 19[13.4] | 6[15.8] | ||
S`4 | 21[13.5] | 4[6.3] | 14[9.9] | 4[10.5] |
Notes: All data are expressed as n [%]; P-values <0.05 were considered statistically significant and have been bolded; Non-MAFLD-CHB, defined as patients who met the diagnostic criteria for CHB but did not meet the diagnostic criteria for MAFLD; MAFLD-CHB, defined as patients fulfilling the criteria for both MAFLD and CHB.
Abbreviations: CHB, chronic hepatitis B; MAFLD, metabolic associated fatty liver disease; HBeAg, hepatitis B e antigen; NASH CRN, the Nonalcoholic Steatohepatitis Clinical Research Network.
In the HBeAg-negative group, the levels of ALT (38 (27–48) vs 32 (23–41) U/L, P =0.016) and FBG (5.25 (4.93–6.28) vs 5.12 (4.68–5.47) mmol/L, P =0.011) were significantly higher in MAFLD-CHB patients than non-MAFLD-CHB patients. In the HBeAg-positive group, however, there were no significant differences in the above indicators between MAFLD-CHB patients and non-MAFLD-CHB patients (P >0.05).
In the HBeAg-negative group, the liver activity score and fibrosis based on the NASH CRN system were more severe in patients with MAFLD-CHB than those with non-MAFLD-CHB (Figure 1). MAFLD-CHB patients had higher proportions of moderate-to-severe liver activity (A ≥3: 21 [32.8] vs 16 [10.3], P <0.001) and significant fibrosis (F ≥2: 41 [64.1] vs 72 [46.5], P =0.018) than non-MAFLD-CHB patients. In the HBeAg-positive group, the liver activity score based on the NASH CRN system was more severe in patients with MAFLD-CHB than those with non-MAFLD-CHB (P =0.004), but no significant differences in liver lobular inflammation or fibrosis were observed (P >0.05). Regardless of HBeAg status, no pathological differences were observed in liver inflammation or fibrosis between MAFLD-CHB and Non-MAFLD-CHB patients based on the Scheuer scoring system (P >0.05).
MAFLD Was Associated with Liver Inflammatory Activity and Fibrosis
Effect of MAFLD on the Risk of Moderate-to-Severe Liver Activity (A≥3) in Patients with CHB
In univariate analysis, combined MAFLD, BMI ≥23 kg/m2, prediabetes, HBeAg positivity, and HBV DNA quantitative >6 log10 IU/mL were significantly associated with the risk of moderate-to-severe liver activity (P <0.05) (Table 3). In multivariate analysis, after adjusting for the influence of HBeAg, gender, BMI, and prediabetes, combined with MAFLD (OR, 3.06; 95% CI, 1.69–5.54, P <0.001) and HBV DNA quantitative >6 log10 IU/mL (OR, 2.40; 95% CI, 1.18–4.88, P =0.015) were independently associated with the risk of moderate-to-severe liver activity. In the subgroup analysis, regardless of HBeAg status, MAFLD was independently associated with the risk of moderate-to-severe liver activity (P <0.05), while HBV DNA quantitation was only independently associated with the risk of moderate-to-severe liver activity in the HBeAg-negative subgroup (Table 4). No significant difference was detected between subgroups stratified by HBeAg status (P >0.05).
Table 3.
Variates | Moderate-to-Severe Liver Activity (A ≥3) | Significant Fibrosis (F ≥2) | ||
---|---|---|---|---|
OR (95% CI) | P | OR (95% CI) | P | |
Male | 0.63 (0.35–1.12) | 0.115 | 1.68 (1.07–2.63) | 0.023 |
Age | 0.99 (0.96–1.02) | 0.391 | 1.00 (0.98–1.03) | 0.802 |
MAFLD | 3.24 (1.95–5.39) | <0.001 | 1.84 (1.19–2.87) | 0.007 |
T2DM | 0.53 (0.06–4.37) | 0.555 | 3.05 (0.61–15.28) | 0.176 |
BMI≥23 kg/m2 | 1.87 (1.13–3.09) | 0.015 | 1.24 (0.83–1.83) | 0.293 |
HBP | 1.05 (0.58–1.89) | 0.873 | 0.91 (0.56–1.47) | 0.692 |
Hypertriglyceridemia | 0.98 (0.54–1.78) | 0.936 | 0.83 (0.51–1.34) | 0.442 |
Low HDL cholesterolemia | 1.29 (0.79–2.13) | 0.309 | 1.04 (0.69–1.57) | 0.862 |
Prediabetes | 1.76 (1.02–3.03) | 0.043 | 1.34 (0.83–2.16) | 0.234 |
HBV DNA quantitative >6 log10 IU/mL | 2.31 (1.42–3.76) | <0.001 | 0.72 (0.48–1.08) | 0.114 |
HBeAg (+) | 1.74 (1.07–2.82) | 0.026 | 0.88 (0.59–1.30) | 0.516 |
Notes: Data were expressed as odds ratios (OR) and 95% confidence interval (CI); P-values <0.15 were considered statistically significant and have been bolded; Variables with P <0.15 in the univariate analysis were included in the multivariate analysis; All variables of variance inflation factor (VIF: 1.037–2.018) were less than 5–10; Hypertriglyceridemia, triacylglycerol (TRIG) ≥1.70 mmol/L; Low HDL cholesterolemia, HDL-c < 1.0 mmol/L for males and < 1.3 mmol/L for females.
Abbreviations: CHB, chronic hepatitis B; OR, odds ratio; MAFLD, metabolic associated fatty liver disease; T2DM, type 2 diabetes mellitus; BMI, Body mass index; HBP, high blood pressure; HBeAg, hepatitis B e antigen; VIF, variance inflation factor; TRIG, triacylglycerol; HDL-c, high-density lipoprotein cholesterol.
Table 4.
Variates | Total | HBeAg (-) | HBeAg (+) | ||||
---|---|---|---|---|---|---|---|
OR (95% CI) | P | OR (95% CI) | P | OR (95% CI) | P | Pa | |
HBeAg(+) | 1.18 (0.58–2.41) | 0.656 | |||||
Male | 1.19 (0.63–2.24) | 0.597 | 0.79 (0.31–2.04) | 0.631 | 1.53 (0.64–3.65) | 0.339 | 0.311 |
HBV DNA quantitative >6 log10 IU/mL | 2.40 (1.18–4.88) | 0.015 | 4.44 (1.49–13.19) | 0.007 | 1.59 (0.68–3.72) | 0.280 | 0.146 |
BMI≥23 kg/m2 | 1.23 (0.69–2.21) | 0.489 | 1.25 (0.52–3.00) | 0.612 | 1.26 (0.56–2.81) | 0.581 | 0.990 |
Prediabetes | 1.58 (0.88–2.84) | 0.128 | 2.33 (1.04–5.25) | 0.041 | 0.99 (0.4–2.44) | 0.987 | 0.167 |
MAFLD | 3.06 (1.69–5.54) | <0.001 | 3.97 (1.71–9.22) | 0.001 | 2.44 (1.03–5.79) | 0.044 | 0.429 |
Constant | 0.08 | <0.001 | 0.08 | <0.001 | 0.13 | <0.001 |
Notes: Data were expressed as odds ratios (OR) and 95% confidence interval (CI); All variables of variance inflation factor (VIF: 1.054–1.903) were less than 5–10; aP-values for difference in associations among HBeAg positive and HBeAg negative were calculated with 2-sample t-tests based on the estimated changes and standard errors; P-values <0.05 were considered statistically significant and have been bolded.
Abbreviations: CHB, chronic hepatitis B; HBeAg, hepatitis B e antigen; OR, odds ratio; MAFLD, metabolic associated fatty liver disease; BMI, Body mass index; VIF, variance inflation factor.
Effect of MAFLD on the Risk of Significant Fibrosis (F≥2) in Patients with CHB
In univariate analysis, male and MAFLD were significantly associated with the risk of significant fibrosis (P <0.05), and HBeAg and age were not significantly associated with liver fibrosis (P >0.05) (Table 3). In multivariate analysis, after adjusting for the influence of gender, HBeAg and HBV DNA quantitation, MAFLD was independently associated with the risk of significant fibrosis (OR, 1.64; 95% CI, 1.02–2.63; P =0.040). In the subgroup analysis, MAFLD was still independently associated with significant fibrosis in the HBeAg-negative subgroup (OR, 2.02; 95% CI, 1.09–3.73; P =0.026) but not in the HBeAg-positive subgroup (P >0.05) (Table 5). In the HBeAg-positive subgroup, HBV DNA quantitative >6 log10 IU/mL were independently associated with the lower risk of significant fibrosis (OR, 0.31; 95% CI, 0.15–0.64; P =0.002). The effect of HBV DNA on liver fibrosis was significantly different between subgroups stratified by HBeAg status (P =0.001).
Table 5.
Variates | Total | HBeAg (-) | HBeAg (+) | ||||
---|---|---|---|---|---|---|---|
OR (95% CI) | P | OR (95% CI) | P | OR (95% CI) | P | Pa | |
HBeAg(+) | 1.22 (0.7–2.12) | 0.482 | |||||
Male | 1.49 (0.94–2.36) | 0.093 | 1.13 (0.60–2.12) | 0.698 | 2.13 (1.04–4.36) | 0.038 | 0.194 |
HBV DNA quantitative >6 log10 IU/mL | 0.66 (0.37–1.15) | 0.143 | 2.91 (1.00–8.49) | 0.051 | 0.31 (0.15–0.64) | 0.002 | 0.001 |
MAFLD | 1.64 (1.02–2.63) | 0.040 | 2.02 (1.09–3.73) | 0.026 | 1.22 (0.57–2.61) | 0.618 | 0.313 |
Constant | 0.72 | 0.134 | 0.73 | 0.260 | 1.28 | 0.566 |
Notes: Data were expressed as odds ratios (OR) and 95% confidence interval (CI); All variables of variance inflation factor (VIF: 1.054–1.885) were less than 5–10; aP-values for difference in associations among HBeAg positive and HBeAg negative were calculated with 2-sample t-tests based on the estimated changes and standard errors; P-values <0.05 were considered statistically significant and have been bolded.
Abbreviations: CHB, chronic hepatitis B; HBeAg, hepatitis B e antigen; OR, odds ratio; MAFLD, metabolic associated fatty liver disease; VIF, variance inflation factor.
Discussion
This study explored the impact of MAFLD on liver fibrosis and inflammation in patients with HBeAg-positive and HBeAg-negative CHB. We demonstrated that MAFLD was associated with the risk of liver fibrosis and inflammatory activity in HBeAg-negative CHB patients. In our study, MAFLD was independently associated with the risk of moderate-to-severe liver activity and significant fibrosis (P <0.05). In the HBeAg-negative subgroup, MAFLD was independently associated with the risk of moderate-to-severe liver activity and significant fibrosis. However, in the HBeAg-positive subgroup, MAFLD was found to be independently associated only with moderate-to-severe liver activity. We also found no significant association between MAFLD and virological indicators such as HBV DNA quantification or HBeAg status.
The new definition of MAFLD allows the comorbid conditions of MAFLD and CHB.13 We reported that CHB patients combined with MAFLD had more severe liver pathological damage than those without MAFLD. Few studies have analyzed the role of MAFLD in the disease severity of CHB. A study in Toronto and Netherlands established a retrospective cohort of biopsy-proven CHB and found that the presence of MAFLD in CHB patients was associated with liver-related adverse outcomes.31 However, another study in Taiwan reported no relationship between the overall prognosis in HBV-related HCC and the presence of MAFLD.32 More studies were based on the old definitions of “NAFLD”. NAFLD is defined as excess fat accumulation (at least 5%) in the liver of patients without a history of alcohol abuse or other causes of secondary hepatic steatosis. Nonalcoholic steatohepatitis (NASH) is considered the severe stage of NAFLD, defined as hepatic steatosis with liver inflammation and hepatocyte death.33 It`s been found to be associated with metabolic syndrome,24 which is similar to our findings (Table S8–S11). Previous studies have reported that NASH is associated with severe liver fibrosis and adverse liver-related outcomes.24,34 However, none of the above studies reported an independent correlation between NAFLD and liver fibrosis or adverse outcomes. Differences in the definitions of those fatty liver diseases, study populations, and study methods may account for the inconsistent results of different studies. In addition, the evaluation of liver lesions in those studies were different, some of them lacked pathological confirmation, and the others used different pathological scoring systems. In the analysis of Scheuer scoring system, we found no association between MAFLD and the risk of liver fibrosis in patients with CHB (Tables 2 and S2). However, in the analysis of the NASH CRN system, we found a prominent difference. Scheuer scoring system tended to underestimate early fibrosis in our study (Table S7). We believe that the evaluation of liver fibrosis in CHB with MAFLD cannot be based solely on the traditional CHB scoring system, and the combination of the NASH CRN system may be a more appropriate choice.
In the subgroup analysis, we reported that MAFLD was only associated with the risk of liver fibrosis in patients with HBeAg-negative CHB, but not in those with HBeAg-positive CHB. The effect of MAFLD on the risk of liver fibrosis appeared more pronounced in patients with HBeAg-negative CHB, but the P-value for group difference was not statistically significant (P =0.313). Studies on the relationship between fatty liver disease and fibrosis under different HBeAg status are still rare. Previous studies indicated that liver steatosis was associated with the risk of elevated ALT, liver fibrosis, and fibrosis progression in HBeAg-negative CHB patients, implying a poor prognosis.35,36 Few studies discussed the relationship between HBeAg-positive CHB and fatty liver disease. Only one retrospective study found that in HBeAg-positive patients, the proportion of liver cirrhosis was significantly higher in patients with liver steatosis, but no significant difference was found after matching for age and sex.37 Similarly, we also found that MAFLD was not significantly associated with liver fibrosis in HBeAg-positive patients, indicating that the effect of MAFLD on HBeAg-positive patients is not dramatic.
In the present study, high HBV DNA load was found to be independently associated with liver inflammatory activity. Previous studies have also reported that high HBV DNA load was associated with adverse liver outcomes (HCC, liver-related death).4,38 Notably, in our study, high HBV DNA load was associated with the increased risk of significant liver fibrosis in the total population of CHB, but with the decreased risk of liver fibrosis in patients with HBeAg-positive CHB. A study in Australia also found that the influence of HBV DNA levels differed in HBeAg-positive and HBeAg-negative patients.39 This can be explained by the natural history of CHB.40
This study revealed several novel findings about the influence of MAFLD on liver fibrosis and inflammation in patients with CHB, and few studies have reported before. We re-reviewed the pathology slides of CHB patients and applied two pathological scoring systems to evaluate the degree of liver injury. Besides, we conducted a pre-specified subgroup analysis stratified by HBeAg status in an attempt to provide more accurate medical advice in different populations. MAFLD may aggravate liver damage in patients with CHB, especially in those with HBeAg-negative CHB. Interventions to improve MAFLD in patients with CHB are necessary, especially in patients with HBeAg-negative CHB, who may benefit more from such interventions.
However, this study also has limitations. As a retrospective study, the data obtained lack information about the waist circumference, Homeostasis Model assessment index, and high sensitivity C reactive proteins, so the definition of metabolic dysfunction in this study did not include these three indicators. The prevalence of MAFLD may have been potentially underestimated, but underestimation should be limited. In our study group, 13 of 399 patients met criteria for at least 5% liver steatosis but did not meet criteria for MAFLD. Some of these 13 patients may indeed have MAFLD. To explore whether this limitation would have affected our main results, repeated analyses were performed substituting fatty liver disease (at least 5% liver steatosis pathologically) for MAFLD (Tables S3–6). The main findings did not change. Additional large-sample prospective studies with fulfilling criteria of MAFLD are needed to further clarify the relationship between MAFLD and CHB.
Conclusion
In summary, MAFLD is associated with the risk of liver fibrosis and inflammatory activity in HBeAg-negative CHB patients. Sufficient attention should be paid to the prevention and treatment of MAFLD in patients with CHB, especially in HBeAg-negative patients.
Acknowledgments
We acknowledge Yunting Zhang for her help in statistics. We also gratefully acknowledge our study group members for their work.
Funding Statement
This work was supported by grants from the National Natural Science Foundation of China [grant number 81870597].
Abbreviations
CHB, chronic hepatitis B; MAFLD, metabolic associated fatty liver disease; HBeAg, hepatitis B e antigen; HBV, chronic hepatitis B virus; WHO, the World Health Organization; NAFLD, nonalcoholic fatty liver disease; HCC, human hepatocellular carcinoma; BMI, Body mass index; AST, serum aspartate aminotransferase; ALT, alanine aminotransferase; ALP, alkaline phosphatase; GGT, gamma-glutamyl transpeptidase; TBA, total bile acid; CHE, cholinesterase, FBG, fasting blood glucose; TRIG, triacylglycerol; HDL-c, high-density lipoprotein cholesterol; LDL, low-density lipoprotein cholesterol; Cr, creatinine; UA, uric acid; NASH CRN, the Nonalcoholic Steatohepatitis Clinical Research Network; T2DM, type 2 diabetes mellitus; HBP, high blood pressure; HBsAg, HBV surface antigen; VIF, variance inflation factor; NASH, Nonalcoholic steatohepatitis; OR, odds ratio.
Data Sharing Statement
The data used to support the findings of this study have not been made available because no patient approval has been obtained.
Ethics Approval and Informed Consent
Studies were conducted in accordance with the Declaration of Helsinki. Ethical approval was given by the medical ethics committee of the Third Affiliated Hospital of Sun Yat-Sen University, and informed consent was waived because we used de-identified retrospective data (Approval number: zssy[2020]02-191-01).
Consent for Publication
All authors gave final approval of the version to be published and agreed to be listed as authors.
Author Contributions
Xiaoman Chen, study design, acquisition of data, analysis, drafted and written; Jing Zhou, study design, pathologic evaluation, analysis, drafted; Lili Wu, acquisition of data, analysis, drafted; Xiang Zhu, study design, analysis, reviewed and revised the draft; Hong Deng, study design, analysis, reviewed and revised the draft. All authors contributed to data analysis, drafting, or revising the article, have agreed on the journal to which the article will be submitted, gave final approval of the version to be published, and agree to be accountable for all aspects of the work.
Disclosure
Dr Xiaoman Chen reports grants from the National Natural Science Foundation of China, during the conduct of the study. The authors declare that there are no conflicts of interest regarding the publication of this article.
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