Published online Jan 28, 2021. doi: 10.3748/wjg.v27.i4.336
Peer-review started: October 9, 2020
First decision: December 3, 2020
Revised: December 11, 2020
Accepted: December 22, 2020
Article in press: December 22, 2020
Published online: January 28, 2021
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Metabolic associated fatty liver disease (MAFLD) is a novel concept proposed in 2020.
To compare the characteristics of MAFLD and MAFLD with hepatitis B virus (HBV) infection.
Patients with histopathologically proven MAFLD from a single medical center were included. Patients were divided into MAFLD group (without HBV infection) and HBV-MAFLD group (with HBV infection). Propensity score matching was utilized to balance the baseline characteristics between two groups.
A total of 417 cases with MAFLD were included, 359 (86.1%) of whom were infected with HBV. There were significantly more males in the HBV-MAFLD group than in the MAFLD group (P < 0.05). After propensity score matching, 58 pairs were successfully matched with no significant differences found in gender, age, body mass index, lipid levels, liver enzymes, and the other metabolic associated comorbidities between the two groups (P > 0.05). The rank sum test results showed that the degree of liver steatosis in the MAFLD group was more severe than that in the HBV-MAFLD group, while the degree of inflammation and fibrosis in the liver was less severe (P < 0.05). In multivariate analysis, HBV infection was associated with significantly lower grade of hepatic steatosis [odds ratio (OR) = 0.088, 95% confidence interval (CI): 0.027-0.291] but higher inflammation level (OR = 4.059, 95%CI: 1.403-11.742) and fibrosis level (OR = 3.016, 95%CI: 1.087-8.370) after adjusting for age, gender, and other metabolic parameters.
HBV infection is associated with similar metabolic risks, lower steatosis grade, higher inflammation, and fibrosis grade in MAFLD patients.
Core Tip: Metabolic associated fatty liver disease (MAFLD) is a novel concept proposed in 2020 aiming to replace the previous definition of non-alcoholic fatty liver disease. Patients with MAFLD have different features from those with non-alcoholic fatty liver disease because MAFLD does not require the exclusion of other chronic liver disease, such as hepatitis B virus (HBV) infection. In this study, we compared the characteristics of patients with and without HBV infection in a biopsy-proved MAFLD cohort. The results of this study involving 417 participants showed that cases with HBV-MAFLD had similar metabolic features as pure MAFLD, and the presence of HBV infection was associated with lower steatosis grade but higher inflammation and fibrosis grade in MAFLD. These results highlight the importance of the monitoring and managing HBV infection in MAFLD.
- Citation: Wang MF, Wan B, Wu YL, Huang JF, Zhu YY, Li YB. Clinic-pathological features of metabolic associated fatty liver disease with hepatitis B virus infection. World J Gastroenterol 2021; 27(4): 336-344
- URL: https://www.wjgnet.com/1007-9327/full/v27/i4/336.htm
- DOI: https://dx.doi.org/10.3748/wjg.v27.i4.336
Fatty liver disease is one of the most common chronic liver diseases, affecting nearly 25% of the population worldwide[1]. Metabolic associated fatty liver disease (MAFLD) is a new definition proposed recently that is different from previous diagnostic criteria for non-alcoholic fatty liver disease (NAFLD)[2,3]. The significant difference between NAFLD and MAFLD is that the diagnosis of MAFLD does not need to exclude other etiology of liver disease, such as excessive alcohol intake or viral infection[4], while the presence of metabolic dysfunction is necessary for MAFLD[5]. These criteria help to identify more cases at high risk[6,7].
Hepatitis B virus (HBV) infection is prevalent in Asia. In China, the HBV infection rate is as high as 5%-6% in the general population[8]. The association between NAFLD and HBV has been controversial for a long time because, theoretically, the diagnosis of NAFLD requires the exclusion of HBV infection[9]. As the MAFLD criteria do not need to exclude chronic hepatitis B, there would be a considerable number of HBV-infected cases diagnosed with MAFLD. In the light of the MAFLD definition, the combination of HBV and MAFLD (HBV-MAFLD) would become an important subtype of MAFLD. The clinicopathological characteristics of this subtype are unclear. To answer this question, this study compared patients with MAFLD and HBV-MAFLD in a large biopsy proven cohort, aiming to characterize MAFLD patients infected with HBV.
This study included a consecutive cohort of patients with pathologically proven steatosis from the Liver Research Center of the First Affiliated Hospital of Fujian Medical University from 2005 to 2015. The inclusion criteria were meeting MAFLD diagnostic criteria irrespective of HBV infection.
Patients with excessive alcohol intake (male < 40 g/d or female < 20 g/d) were diagnosed with alcoholic liver disease[10], and they were advised to stop consuming alcohol. None of them received liver biopsy in our department. Thus, this study did not include any case with excessive alcohol consumption.
MAFLD is diagnosed based on histopathologically proven liver steatosis and the presence of one of the following: Overweight or obesity, diabetes mellitus, or evidence of metabolic dysregulation[5]. Overweight was defined as body mass index (BMI) ≥ 23 kg/m2 for Asians. The metabolic dysregulation was diagnosed when two of the following criteria were met: (1) Waist circumference ≥ 90/80 cm in Asian men and women; (2) Triglyceride ≥ 1.70 mmoL/L or receiving specific drug treatment; (3) Blood pressure ≥ 130/85 mmHg or specific drug treatment; (4) High-density lipoprotein cholesterol < 1.0 mmoL/L for men and < 1.3 mmoL/L for women; (5) Prediabetes [i.e. glycated hemoglobin 5.7%-6.4%, fasting glucose levels (FPG) 5.6 to 6.9 mmoL/L, or 2 h glucose levels 7.8 to 11.0 mmoL/L]; (6) Hypersensitive C-reactive protein level > 2 mg/L; and (7) Homeostasis model assessment-insulin resistance score ≥ 2.5.
Patients were divided into two groups according to the result of HBV surface antigen (HBsAg): MAFLD group (HBsAg negative) and HBV-MAFLD group (HBsAg positive).
Liver biopsy was performed with a 16 g Tru-Cut biopsy needle under the guidance of ultrasound. Specimens of 15-20 mm liver tissues were fixed with 10% neutral formalin, embedded in paraffin, and sectioned into 4 μm slices by Ultra-Thin Semiautomatic Microtome. All slides were stained with hematoxylin-eosin-safran and Masson’s trichrome. Qualified samples were those with a minimum of six portal tracts. All pathology slides were reviewed by two independent pathologists blind to the clinical history. The stages of liver inflammation and the degree of fibrosis were graded in accordance with the Chinese Guidelines of the Programme of Prevention and Cure for Viral Hepatitis[11]. According to the amount of fat accumulation in the hepatocyte, hepatic steatosis can be classified into four grades: S0 (< 5%), S1 (5%-33%), S2 (33%-66%), S3 (> 66%)[12].
The following variables were obtained from the clinical records: Sex, age, BMI, and history of hypertension and diabetes. BMI was calculated as weight divided by the square of the height.
Biochemical measurements included alanine transaminase, aspartate amino-transferase, γ-glutamyl transferase, FPG, apolipoprotein A, apolipoprotein B, low-density lipoprotein cholesterol, very low density lipoprotein cholesterol, high-density lipoprotein cholesterol, triglyceride, total cholesterol, free fatty acids, blood urea nitrogen, creatinine, and uric acid. Those assessments were detected by AU2700 automatic biochemical instrument of Olympus Company (Tokyo, Japan).
Categorical variables are expressed as percentages and continuous variables are expressed as means ± standard deviation. The Mann-Whitney U-test was used for variables that were non-normally distributed; the student t-test was used for the comparison of variables that were normally distributed; and the Chi-squared test was used for categorical variables. Propensity score matching (PSM) was used to balance the age and gender between the two groups with a ratio of 1:1 and a caliper value of 0.2. Logistic regression analysis was used to investigate odds ratio (OR) of HBV infection for liver inflammation, steatosis, and fibrosis. All tests were two-tailed, and results with P value less than 0.05 were considered statistically significant. All data were analyzed with SPSS software (version 24.0, Armonk, NY, United States).
This study was reviewed and approved by the Ethics Committee of the First Affiliated Hospital of Fujian Medical University in accordance with the Declaration of Helsinki.
This study included 417 patients with MAFLD, 354 (84.9%) of whom were male, and the average age of this study cohort was 40.5 ± 10.9-years-old. The majority of the cases were infected with HBV (359/417, 86.1%), among whom 184 (51.3%) were HBeAg positive. The average HBVDNA level was 5.69 ± 1.57 Lg IU/mL in the HBV-MAFLD group (Table 1).
Characteristics | Before propensity score matching | After propensity score matching | ||||||
MAFLD | HBV-MAFLD | t or χ 2 | P value | MAFLD | HBV-MAFLD | t or χ2 | P value | |
Number | 58 | 359 | 58 | 58 | ||||
Male, n (%) | 35 (60.3%) | 319 (88.9%) | 31.652 | < 0.001 | 35 (60.3%) | 36 (62.1%) | 0.036 | 0.849 |
Age in yr | 41.53 ± 15.41 | 40.39 ± 10.08 | 0.548 | 0.586 | 41.53 ± 15.41 | 40.90 ± 11.17 | 0.255 | 0.799 |
BMI in kg/m2 | 25.24 ± 3.36 | 25.50 ± 2.51 | -0.7 | 0.484 | 25.31 ± 3.40 | 24.97 ± 3.00 | 0.563 | 0.575 |
TC in mmoL/L | 4.84 ± 1.03 | 4.74 ± 1.14 | 0.621 | 0.535 | 4.84 ± 1.03 | 4.77 ± 1.25 | 0.363 | 0.717 |
TG in mmoL/L | 2.13 ± 2.32 | 1.59 ± 0.97 | 1.72 | 0.091 | 2.13 ± 2.32 | 1.62 ± 1.02 | 1.545 | 0.125 |
LDL in mmoL/L | 2.85 ± 1.00 | 2.88 ± 0.96 | -0.213 | 0.831 | 2.85 ± 1.00 | 2.81 ± 1.10 | 0.667 | 0.842 |
VLDL in mmoL/L | 0.65 ± 0.51 | 0.49 ± 0.35 | 2.978 | 0.003 | 0.65 ± 0.51 | 0.46 ± 0.33 | 2.484 | 0.014 |
HDL in mmoL/L | 1.13 ± 0.35 | 1.12 ± 0.31 | 0.127 | 0.899 | 1.13 ± 0.35 | 1.18 ± 0.29 | -0.878 | 0.382 |
APOA in g/L | 1.20 ± 0.30 | 1.18 ± 0.22 | 0.408 | 0.618 | 1.20 ± 0.30 | 1.18 ± 0.23 | 0.348 | 0.729 |
APOB in g/L | 0.99 ± 0.25 | 0.96 ± 0.28 | 0.969 | 0.333 | 0.99 ± 0.25 | 0.94 ± 0.29 | 1.098 | 0.274 |
FPG in mmoL/L | 5.44 ± 1.04 | 5.32 ± 1.53 | 0.543 | 0.588 | 5.44 ± 1.04 | 5.57 ± 1.94 | -0.441 | 0.660 |
FFA in mmoL/L | 468.21 ± 202.54 | 466.48 ± 200.66 | 0.052 | 0.959 | 468.21 ± 202.54 | 458.59 ± 177.92 | 0.295 | 0.769 |
CR in μmoL/L | 67.03 ± 13.99 | 74.51 ± 13.39 | -3.836 | < 0.001 | 67.03 ± 13.99 | 70.12 ± 14.05 | -1.197 | 0.234 |
BUN in mmoL/L | 4.63 ± 1.43 | 4.79 ± 1.18 | -0.885 | 0.377 | 4.63 ± 1.43 | 4.54 ± 0.95 | 0.407 | 0.685 |
UA in mmoL/L | 355.81 ± 74.56 | 370.64 ± 83.20 | -1.251 | 0.212 | 355.81 ± 74.56 | 367.00 ± 79.35 | -0.789 | 0.432 |
ALT in U/L | 119.76 ± 118.19 | 135.82 ± 210.31 | -0.567 | 0.571 | 119.76 ± 118.19 | 168.60 ± 208.80 | -1.55 | 0.125 |
AST in U/L | 65.55 ± 63.28 | 71.70 ± 88.63 | -0.507 | 0.612 | 65.55 ± 63.28 | 90.94 ± 99.46 | -1.64 | 0.104 |
GGT in U/L | 179.83 ± 189.39 | 75.13 ± 82.34 | 4.147 | < 0.001 | 179.83 ± 189.39 | 78.93 ± 70.11 | 3.805 | < 0.001 |
GFR in mL/min | 136.22 ± 37.84 | 117.36 ± 28.91 | 3.63 | 0.01 | 136.22 ± 37.84 | 127.95 ± 34.19 | 1.234 | 0.220 |
Hypertension, n (%) | 16 (27.6%) | 26 (7.2%) | 22.816 | 0.000 | 16 (27.6%) | 4 (6.9%) | 8.700 | 0.003 |
DM, n (%) | 17 (29.3%) | 65 (17.5%) | 3.968 | 0.046 | 17 (29.3%) | 17 (29.3%) | 0.000 | 1.000 |
Low HDL-C, n (%) | 28 (48.3%) | 165 (46.0%) | 0.108 | 0.743 | 28 (48.3%) | 30 (51.7%) | 0.138 | 0.710 |
Prediabetes, n (%) | 21 (36.2%) | 77 (21.4%) | 6.050 | 0.014 | 21 (36.2%) | 15 (25.9%) | 1.450 | 0.229 |
Obesity, n (%) | 50 (86.2%) | 328 (91.4%) | 1.567 | 0.211 | 50 (86.2%) | 51 (87.9%) | 0.077 | 0.782 |
Hypertriglyceridemia, n (%) | 26 (44.8%) | 109 (30.4%) | 4.772 | 0.029 | 26 (44.8%) | 16 (27.6%) | 3.732 | 0.053 |
There were more males in the HBV-MAFLD group than in the MAFLD group (88.9% vs 60.3%, P < 0.001). No significant difference was found in BMI, lipids, liver enzymes, and FPG levels between the MAFLD and HBV-MAFLD groups (P > 0.05). However, the proportions of hypertriglyceridemia, pre-diabetes, diabetes, and hypertension were higher in the MAFLD group than in the HBV-MAFLD group (P < 0.05).
After PSM, 58 pairs were successfully matched with no significant differences found in gender and age between the two groups (Table 1). The percentage of hypertension in the MAFLD group was still significantly higher than that in HBV-MAFLD group (27.6% vs 6.9%, P < 0.05). The BMI, lipid levels, liver enzymes, and the other metabolic associated comorbidities were comparable between two groups (P > 0.05).
After PSM, there were 10 (17.2%) cases with severe steatosis (S3) in the HBV-MAFLD group and 32 (55.2%) cases in the MAFLD group. The average rank of liver steatosis in the HBV-MAFLD group was 43.76, while that in MAFLD group was 73.24 (P < 0.05), suggesting that liver steatosis in the HBV-MAFLD group was less severe than that in MAFLD group (Figure 1 and Table 2).
Inflammatory stage | Fibrosis stage | Steatosis stage | |||||||||||
0 | 1 | 2 | 3 | 4 | 0 | 1 | 2 | 3 | 4 | 1 | 2 | 3 | |
MAFLD; n (%) | 2 (3.4) | 36 (62.2) | 9 (15.5) | 9 (15.5) | 2 (3.4) | 15 (25.9) | 23 (39.7) | 11 (19.0) | 7 (12.0) | 2 (3.4) | 11 (18.9) | 15 (25.9) | 32 (55.2) |
HBV-MAFLD; n (%) | 0 (0) | 16 (27.6) | 15 (25.9) | 18 (31.0) | 9 (15.5) | 3 (5.2) | 15 (25.9) | 17 (29.3) | 14 (24.1) | 9 (15.5) | 37 (63.8) | 11 (19.0) | 10 (17.2) |
Z | -4.193 | -4.131 | -5.060 | ||||||||||
P value | < 0.001 | < 0.001 | < 0.001 |
There were 27 (46.6%) cases with severe inflammation (G3-4) in the HBV-MAFLD group and 11 (19.0%) cases in the MAFLD group. The average rank of liver inflammation degree in HBV-MAFLD group was 70.84, while that in MAFLD group was 46.16 (P < 0.05). This suggested that the liver inflammation in HBV-MAFLD group was more severe than that in MAFLD group (Figure 2 and Table 2).
Advanced fibrosis (F3-4) was observed in 23 (39.7%) cases in the HBV-MAFLD group and nine (15.5%) cases in the MAFLD group. The fibrosis was more severe in HBV-MAFLD group than that in MAFLD group (average ranks: 71.01 vs 45.99, P < 0.05) (Table 2).
The Spearman analysis showed in the MAFLD group that the fibrosis and inflammation were positively correlated (r = 0.757, P < 0.001), while the correlation between fibrosis and steatosis was not statistically significant (r = 0.209, P = 0.115). Same results were found in the HBV-MAFLD group (r = 0.696 for fibrosis and inflammation, P < 0.001, and r = -0.002 for fibrosis and steatosis, P = 0.990).
Multivariate analysis was used to explore the impact of HBV infection for the severity of steatosis, inflammation, and fibrosis. Two different models were utilized to estimate the OR for different outcomes. Model 1 adjusted for the age and gender, while model 2 additionally adjusted for metabolic parameters including BMI, hypertension, diabetes mellitus, lipid levels, glucose level, and free fatty acids. The results showed that, HBV infection was associated with lower grade of hepatic steatosis (OR 0.088-0.157, P < 0.001) but higher grade of inflammation (OR 4.087-4.059, P < 0.01) and fibrosis (OR 3.016-3.659, P < 0.05) in every model (Table 3).
Steatosis stage | Inflammatory stage | Fibrosis stage | |||||||
OR | P value | 95%CI | OR | P value | 95%CI | OR | P value | 95%CI | |
Crude OR | 0.169 | < 0.001 | 0.072-0.398 | 3.721 | 0.002 | 1.615-8.577 | 3.578 | 0.005 | 1.478-8.663 |
Adjusted OR 1 | 0.157 | < 0.001 | 0.065-0.378 | 4.087 | 0.001 | 1.720-9.713 | 3.659 | 0.004 | 1.501-8.919 |
Adjusted OR 2 | 0.088 | < 0.001 | 0.027-0.291 | 4.059 | 0.010 | 1.403-11.742 | 3.016 | 0.034 | 1.087-8.370 |
MAFLD with HBV infection is a special subtype of MAFLD in Asian countries. This study found that the metabolic components are not different between MAFLD cases with or without HBV infection. However, the presence of HBV is associated with lower steatosis grade and higher fibrosis and inflammation grade.
The relationship between liver steatosis and HBV infection is not yet clear. Laboratory data showed HBV X protein induces liver fat deposition by activating peroxisome proliferator-activated receptor γ, sterol regulatory element binding protein 1, and liver fatty acid binding protein 1[13,14], suggesting the HBV virus itself may lead to liver steatosis. However, a cross-sectional study showed current HBV infection may reduce the risk of NAFLD, but this effect became no longer significant after spontaneous HBsAg seroclearance[15]. Several large sample-sized studies showed a negative correlation between HBsAg and the risk of NAFLD in the future[16,17]. In addition, higher BMI also helps the seroclearance of HBsAg[18]. Consistent with previous studies[19], our results showed that concomitant HBV infection led to a lower degree of steatosis. This suggests the novel definition of MAFLD does not greatly influence the correlation between HBV infection and fatty liver disease; HBV infection is associated with lower degree of steatosis in MAFLD.
Although HBV was associated with lower degree of steatosis in MAFLD patients, unsurprisingly, HBV infection independently increased the risk of inflammation and fibrosis. HBV-infection in MAFLD increased the odds of advanced fibrosis by at least 3-fold and inflammation by 4-fold. This result was in line with a previous report that HBV infection is an independent risk factor for fibrosis in NAFLD[20]. Therefore, for patients with MAFLD combined with HBV infection, closer monitoring and intervention of both factors are required, as the presence of two pathogenic risks might accelerate disease progression.
The strength of this study is that, to our knowledge, it is the first to focus on the relationship between MAFLD and HBV infection. As MAFLD is a novel, recently proposed concept and its prevalence will keep increasing in future decades[21], the clarification of the association between MAFLD and HBV is of clinical importance. However, there are some limitations that compromise this study. First, this is a single center study. The lack of waist circumference, homeostatic model assessment of insulin resistance, and C-reactive protein will lead to some missing cases of MAFLD. Second, this cross-sectional study was unable to determine the causal relationship between HBV infection and MAFLD. Lastly, the study population was relatively lean and had less metabolic syndrome. The conclusions should be validated in other populations with higher prevalence of obesity and metabolic syndromes.
In summary, cases with HBV-MAFLD have similar metabolic risks compared to pure MAFLD but are associated with lower steatosis grade and higher inflammation and fibrosis grade in histopathology. More attention should be paid to the monitoring and management of MAFLD with HBV infection.
Metabolic associated fatty liver disease (MAFLD) is a novel concept proposed in 2020.
MAFLD does not require the exclusion of hepatitis B virus (HBV) infection, thus the combination of HBV and MAFLD (HBV-MAFLD) would become an important subtype of MAFLD. The clinicopathological characteristics of this subtype are unclear.
This retrospective study aimed to compare the characteristics between MAFLD and HBV-MAFLD.
Patients with histopathologically proven MAFLD from a single medical center were included. Patients were divided into MAFLD group (without HBV infection) and HBV-MAFLD group (with HBV infection). Propensity score matching was utilized to balance the baseline characteristics between two groups.
A total of 417 cases with MAFLD were included, 359 (86.1%) of whom were infected with HBV. There were significantly more males in the HBV-MAFLD group than in MAFLD group (P < 0.05). After propensity score matching, 58 pairs were successfully matched with no significant differences found in gender, age, body mass index, lipid levels, liver enzymes, and the other metabolic associated comorbidities between two groups (P > 0.05). The rank sum test results showed that the degree of liver steatosis in the MAFLD group was more severe than that in HBV-MAFLD group, while the degree of inflammation and fibrosis in liver was less severe (P < 0.05). In multivariate analysis, HBV infection was associated with lower grade of hepatic steatosis [odds ratio (OR) = 0.088, 95% confidence interval (CI): 0.027-0.291] but higher inflammation (OR = 4.059, 95%CI: 1.403-11.742) and fibrosis grades (OR = 3.016, 95%CI: 1.087-8.370) after adjusting for age, gender, and other metabolic parameters.
HBV infection is associated with similar metabolic risks, lower steatosis grade, and higher inflammation and fibrosis grade in MAFLD patients.
The overall body mass index and the prevalence of metabolic disorder were relatively low in this study cohort. The conclusion should be validated in other populations with more metabolic dysfunctions.
Manuscript source: Unsolicited manuscript
Specialty type: Gastroenterology and hepatology
Country/Territory of origin: China
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P-Reviewer: Exbrayat JM, Fallatah H S-Editor: Fan JR L-Editor: Filipodia P-Editor: Ma YJ
1. | Younossi ZM, Koenig AB, Abdelatif D, Fazel Y, Henry L, Wymer M. Global epidemiology of nonalcoholic fatty liver disease-Meta-analytic assessment of prevalence, incidence, and outcomes. Hepatology. 2016;64:73-84. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 5322] [Cited by in F6Publishing: 6824] [Article Influence: 853.0] [Reference Citation Analysis (0)] |
2. | Eslam M, Sanyal AJ, George J; International Consensus Panel. MAFLD: A Consensus-Driven Proposed Nomenclature for Metabolic Associated Fatty Liver Disease. Gastroenterology 2020; 158: 1999-2014. e1. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 1188] [Cited by in F6Publishing: 1838] [Article Influence: 459.5] [Reference Citation Analysis (1)] |
3. | Fouad Y, Waked I, Bollipo S, Gomaa A, Ajlouni Y, Attia D. What's in a name? Liver Int. 2020;40:1254-1261. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 153] [Cited by in F6Publishing: 193] [Article Influence: 48.3] [Reference Citation Analysis (0)] |
4. | European Association for the Study of the Liver (EASL). EASL-EASD-EASO Clinical Practice Guidelines for the management of non-alcoholic fatty liver disease. Diabetologia. 2016;59:1121-1140. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 348] [Cited by in F6Publishing: 447] [Article Influence: 55.9] [Reference Citation Analysis (2)] |
5. | Eslam M, Newsome PN, Sarin SK, Anstee QM, Targher G, Romero-Gomez M, Zelber-Sagi S, Wai-Sun Wong V, Dufour JF, Schattenberg JM, Kawaguchi T, Arrese M, Valenti L, Shiha G, Tiribelli C, Yki-Järvinen H, Fan JG, Grønbæk H, Yilmaz Y, Cortez-Pinto H, Oliveira CP, Bedossa P, Adams LA, Zheng MH, Fouad Y, Chan WK, Mendez-Sanchez N, Ahn SH, Castera L, Bugianesi E, Ratziu V, George J. A new definition for metabolic dysfunction-associated fatty liver disease: An international expert consensus statement. J Hepatol. 2020;73:202-209. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 1239] [Cited by in F6Publishing: 2273] [Article Influence: 568.3] [Reference Citation Analysis (0)] |
6. | Lin S, Huang J, Wang M, Kumar R, Liu Y, Liu S, Wu Y, Wang X, Zhu Y. Comparison of MAFLD and NAFLD diagnostic criteria in real world. Liver Int. 2020;40:2082-2089. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 232] [Cited by in F6Publishing: 360] [Article Influence: 90.0] [Reference Citation Analysis (0)] |
7. | Yamamura S, Eslam M, Kawaguchi T, Tsutsumi T, Nakano D, Yoshinaga S, Takahashi H, Anzai K, George J, Torimura T. MAFLD identifies patients with significant hepatic fibrosis better than NAFLD. Liver Int. 2020;. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 165] [Cited by in F6Publishing: 273] [Article Influence: 68.3] [Reference Citation Analysis (0)] |
8. | Jia JD, Hou JL, Wei L, Zhuang H. [Highlights of the guidelines of prevention and treatment for chronic hepatitis B (2019 version)]. Zhonghua Gan Zang Bing Za Zhi. 2020;28:21-23. [PubMed] [DOI] [Cited in This Article: ] [Cited by in F6Publishing: 6] [Reference Citation Analysis (0)] |
9. | Haga Y, Kanda T, Sasaki R, Nakamura M, Nakamoto S, Yokosuka O. Nonalcoholic fatty liver disease and hepatic cirrhosis: Comparison with viral hepatitis-associated steatosis. World J Gastroenterol. 2015;21:12989-12995. [PubMed] [DOI] [Cited in This Article: ] [Cited by in CrossRef: 52] [Cited by in F6Publishing: 53] [Article Influence: 5.9] [Reference Citation Analysis (0)] |
10. | Li YM, Fan JG, Wang BY, Lu LG, Shi JP, Niu JQ, Shen W; Chinese Association for the Study of Liver Disease. Guidelines for the diagnosis and management of alcoholic liver disease: update 2010: (published in Chinese on Chinese Journal of Hepatology 2010; 18: 167-170). J Dig Dis. 2011;12:45-50. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 37] [Cited by in F6Publishing: 39] [Article Influence: 3.0] [Reference Citation Analysis (0)] |
11. | Desmet VJ, Gerber M, Hoofnagle JH, Manns M, Scheuer PJ. Classification of chronic hepatitis: diagnosis, grading and staging. Hepatology. 1994;19:1513-1520. [PubMed] [Cited in This Article: ] |
12. | Kleiner DE, Brunt EM, Van Natta M, Behling C, Contos MJ, Cummings OW, Ferrell LD, Liu YC, Torbenson MS, Unalp-Arida A, Yeh M, McCullough AJ, Sanyal AJ; Nonalcoholic Steatohepatitis Clinical Research Network. Design and validation of a histological scoring system for nonalcoholic fatty liver disease. Hepatology. 2005;41:1313-1321. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 6807] [Cited by in F6Publishing: 7752] [Article Influence: 408.0] [Reference Citation Analysis (5)] |
13. | Kim KH, Shin HJ, Kim K, Choi HM, Rhee SH, Moon HB, Kim HH, Yang US, Yu DY, Cheong J. Hepatitis B virus X protein induces hepatic steatosis via transcriptional activation of SREBP1 and PPARgamma. Gastroenterology. 2007;132:1955-1967. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 209] [Cited by in F6Publishing: 219] [Article Influence: 12.9] [Reference Citation Analysis (0)] |
14. | Wu YL, Peng XE, Zhu YB, Yan XL, Chen WN, Lin X. Hepatitis B Virus X Protein Induces Hepatic Steatosis by Enhancing the Expression of Liver Fatty Acid Binding Protein. J Virol. 2016;90:1729-1740. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 51] [Cited by in F6Publishing: 71] [Article Influence: 7.9] [Reference Citation Analysis (0)] |
15. | Huang J, Jing M, Wang C, Wang M, You S, Lin S, Zhu Y. The impact of hepatitis B virus infection status on the prevalence of nonalcoholic fatty liver disease: A population-based study. J Med Virol. 2020;92:1191-1197. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 1.8] [Reference Citation Analysis (0)] |
16. | Joo EJ, Chang Y, Yeom JS, Ryu S. Hepatitis B virus infection and decreased risk of nonalcoholic fatty liver disease: A cohort study. Hepatology. 2017;65:828-835. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 84] [Cited by in F6Publishing: 96] [Article Influence: 13.7] [Reference Citation Analysis (0)] |
17. | Zhu L, Jiang J, Zhai X, Baecker A, Peng H, Qian J, Zhou M, Song C, Zhou Y, Xu J, Liu H, Hang D, Hu Z, Shen H, Zhang ZF, Zhu F. Hepatitis B virus infection and risk of non-alcoholic fatty liver disease: A population-based cohort study. Liver Int. 2019;39:70-80. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 37] [Cited by in F6Publishing: 37] [Article Influence: 7.4] [Reference Citation Analysis (1)] |
18. | Cao J, Gong J, Tsia Hin Fong CJ, Xiao C, Lin G, Li X, Jie Y, Chong Y. Prediction Model of HBsAg Seroclearance in Patients with Chronic HBV Infection. Biomed Res Int. 2020;2020:6820179. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis (0)] |
19. | Worland T, Apostolov R, Asadi K, Leung C. Hepatitis B virus activity is not associated with degree of liver steatosis in patients with hepatitis B-related chronic liver disease. Liver Int. 2020;40:1500-1502. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.3] [Reference Citation Analysis (0)] |
20. | Su HJ, Kao JH, Tseng TC, Yang HC, Su TH, Chen PJ, Liu CJ. Pathologic findings of patients with nonalcoholic fatty liver disease and the impact of concurrent hepatitis B virus infection in Taiwan. J Formos Med Assoc. 2020;119:1476-1482. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 5] [Cited by in F6Publishing: 10] [Article Influence: 2.5] [Reference Citation Analysis (0)] |
21. | Younossi Z, Tacke F, Arrese M, Chander Sharma B, Mostafa I, Bugianesi E, Wai-Sun Wong V, Yilmaz Y, George J, Fan J, Vos MB. Global Perspectives on Nonalcoholic Fatty Liver Disease and Nonalcoholic Steatohepatitis. Hepatology. 2019;69:2672-2682. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 815] [Cited by in F6Publishing: 1170] [Article Influence: 234.0] [Reference Citation Analysis (0)] |