Steatosis, HBV-related HCC, cirrhosis, and HBsAg seroclearance: A systematic review and meta-analysis

WFUMB Guidelines/Guidance on Liver Multiparametric Ultrasound. Part 2: Guidance on Liver Fat Quantification

The World Federation for Ultrasound in Medicine and Biology (WFUMB) has promoted the development of this document on multiparametric ultrasound. Part 2 is a guidance on the use of the available tools for the quantification of liver fat content with ultrasound. These are attenuation coefficient, backscatter coefficient, and speed of sound. All of them use the raw data of the ultrasound beam to estimate liver fat content. This guidance has the aim of helping the reader in understanding how they work and interpret the results. Confounding factors are discussed and a standardized protocol for measurement acquisition is suggested to mitigate them. The recommendations were based on published studies and experts' opinion but were not formally graded because the body of evidence remained low at the time of drafting this document.

Epidemiology, pathophysiology and clinical aspects of Hepatocellular Carcinoma in MAFLD patients

Hepatocellular carcinoma (HCC) is undergoing a transformative shift, with metabolic-associated fatty liver disease (MAFLD) emerging as a dominant etiology. Diagnostic criteria for MAFLD involve hepatic steatosis and metabolic dysregulation. Globally, MAFLD prevalence stands at 38.77%, significantly linked to the escalating rates of obesity. Epidemiological data indicate a dynamic shift in the major etiologies of hepatocellular carcinoma (HCC), transitioning from viral to metabolic liver diseases. Besides the degree of liver fibrosis, several modifiable lifestyle risk factors, such as type 2 diabetes, obesity, alcohol use, smoking, and HBV, HCV infection contribute to the pathogenesis of HCC. Moreover  gut microbiota and genetic variants may contribute to HCC development.The pathophysiological link between MAFLD and HCC involves metabolic dysregulation, impairing glucose and lipid metabolism, inflammation and oxidative stress. Silent presentation poses challenges in early MAFLD-HCC diagnosis. Imaging, biopsy, and AI-assisted techniques aid diagnosis, while HCC surveillance in non-cirrhotic MAFLD patients remains debated.ITA.LI.CA. group proposes a survival-based algorithm for treatment based on Barcelona clinic liver cancer (BCLC) algorithm. Liver resection, transplantation, ablation, and locoregional therapies are applied based on the disease stage. Systemic treatments is promising, with initial immunotherapy results indicating a less favorable response in MAFLD-related HCC.Adopting lifestyle interventions and chemopreventive measures with medications, including aspirin, metformin, and statins, constitute promising approaches for the primary prevention of HCC.Prognosis is influenced by multiple factors, with MAFLD-HCC associated with prolonged survival. Emerging diagnostic biomarkers and epigenomic markers, show promising results for early HCC detection in the MAFLD population.

Disease severity and antiviral response in patients with chronic hepatitis B with non-obese NAFLD

BACKGROUND

The burden of nonalcoholic fatty liver disease (NAFLD) is growing in patients with chronic hepatitis B (CHB). NAFLD is typically associated with obesity, however, it is increasingly being identified in non-obese patients. This study aimed to investigate disease severity and antiviral response in non-obese patients with CHB with NAFLD (CHB + NAFLD).

METHODS

A total of 809 patients with CHB + NAFLD were prospectively recruited and followed up for 3 years. NAFLD was diagnosed by transient elastography and defined as controlled attenuation parameter ≥248 dB/m, in the absence of excessive alcohol intake. Obesity status was defined by the Asian body mass index (BMI) cutoff of 25 kg/m2. Metabolic abnormality was defined by the presence of dyslipidemia, hypertension or diabetes. Fibrosis staging was defined according to the EASL-ALEH guidelines, with fibrosis progression defined as ≥1-stage increment.

RESULTS

In the total cohort (median age 40 years, 59.0% antiviral-treated), 33.3% were non-obese. Non-obese patients were less metabolically abnormal than obese patients (60.2% vs 72.0%, P = 0.003). After 3-year follow up, the rate of fibrosis progression was comparable between non-obese and obese patients (17.5% vs 21.9% in the total cohort, P = 0.145; 15.7% vs 14.6% in antiviral-treated cohort with persistent viral suppression, P = 0.795). No significant differences in virological and biochemical responses were observed between non-obese and obese patients (P >0.05 for all).

CONCLUSION

Approximately one third of CHB + NAFLD patients were non-obese. Non-obese patients, while less metabolically abnormal, had a similar risk for fibrosis progression as obese patients. Obesity status did not impact the efficiency of antiviral therapy.

Antiviral therapy response in patients with chronic hepatitis B and fatty liver: A systematic review and meta-analysis

The impact of concurrent fatty liver (FL) on response to antiviral therapy in chronic hepatitis B (CHB) patients has not been well characterized. We aimed to systematically review and analyse antiviral treatment response in CHB patients with and without FL. We searched PubMed, Embase, Web of Science and the Cochrane Library databases from inception to 31 May 2023 for relevant studies. Biochemical response (BR), complete viral suppression (CVS) and hepatitis B e antigen (HBeAg) seroconversion in CHB patients with FL (CHB-FL) and without FL (non-FL CHB) were compared. In an initial pool of 2101 citations, a total of 10 studies involving 2108 patients were included. After 12 weeks of treatment, CHB-FL patients as compared with non-FL CHB patients had lower BR rate (48.37% [108/227] vs. 72.98% [126/174], p = .04) but similar trend for CVS (36.86% [80/227] vs. 68.81% [114/174], p = .05) and similar rates of HBeAg seroconversion (6.59% [7/103] vs. 7.40% [7/110], p = .89). However, at week 48, there were no statistically significant differences between CHB-FL and non-FL CHB patients in any of the outcomes, including BR (60.03% [213/471] vs. 69.37% [314/717], p = .67), CVS (65.63% [459/746] vs. 73.81% [743/1132], p = .27) and HBeAg seroconversion (10.01% [30/275] vs. 14.06% [65/453], p = .58) with similar findings for week 96. BR rate was lower in CHB-FL patients after 12 weeks of antiviral treatment. However, after a longer follow-up of either 48 or 96 weeks, no statistically significant differences were observed in BR, CVS or HBeAg seroconversion rates between CHB patients with and without FL.

Inpatient Cost Burdens of Treating Chronic Hepatitis B in US Hospitals: A Weighted Analysis of a National Database

BACKGROUND AND AIMS

This study evaluates the cost burdens of inpatient care for chronic hepatitis B (CHB). We aimed to stratify the patients based on the presence of cirrhosis and conduct subgroup analyses on patient demographics and medical characteristics.

METHODS

The 2016-2019 National Inpatient Sample was used to select individuals diagnosed with CHB. The weighted charge estimates were derived and converted to admission costs, adjusting for inflation to the year 2016, and presented in United States Dollars. These adjusted values were stratified using select patient variables. To assess the goodness-of-fit for each trend, we graphed the data across the respective years, expressed in a chronological sequence with format (R2, p-value). Analysis of CHB patients was carried out in three groups: the composite CHB population, the subset of patients with cirrhosis, and the subset of patients without cirrhosis.

RESULTS

From 2016 to 2019, the total costs of hospitalizations in CHB patients were $603.82, $737.92, $758.29, and $809.01 million dollars from 2016 to 2019, respectively. We did not observe significant cost trends in the composite CHB population or in the cirrhosis and non-cirrhosis cohorts. However, we did find rising costs associated with age older than 65 (0.97, 0.02), white race (0.98, 0.01), Hispanic ethnicity (1.00, 0.001), and Medicare coverage (0.95, 0.02), the significance of which persisted regardless of the presence of cirrhosis. Additionally, inpatients without cirrhosis who had comorbid metabolic dysfunction-associated steatotic liver disease (MASLD) were also observed to have rising costs (0.96, 0.02).

CONCLUSIONS

We did not find a significant increase in overall costs with CHB inpatients, regardless of the presence of cirrhosis. However, certain groups are more susceptible to escalating costs. Therefore, increased screening and nuanced vaccination planning must be optimized in order to prevent and mitigate these growing cost burdens on vulnerable populations.

Machine Learning-Based Models for Advanced Fibrosis and Cirrhosis Diagnosis in Chronic Hepatitis B Patients With Hepatic Steatosis

BACKGROUND AND AIMS

The global rise of chronic hepatitis B (CHB) superimposed on hepatic steatosis (HS) warrants noninvasive, precise tools for assessing fibrosis progression. This study leveraged machine learning (ML) to develop diagnostic models for advanced fibrosis and cirrhosis in this patient population.

METHODS

Treatment-naive CHB patients with concurrent HS who underwent liver biopsy in 10 medical centers were enrolled as a training cohort and an independent external validation cohort (NCT05766449). Six ML models were implemented to predict advanced fibrosis and cirrhosis. The final models, derived from SHAP (Shapley Additive exPlanations), were compared with Fibrosis-4 Index, nonalcoholic fatty liver disease Fibrosis Score, and aspartate aminotransferase-to-platelet ratio index using the area under receiver-operating characteristic curve (AUROC) and decision curve analysis (DCA).

RESULTS

Of 1,198 eligible patients, the random forest model achieved AUROCs of 0.778 (95% confidence interval [CI], 0.749-0.807) for diagnosing advanced fibrosis (random forest advanced fibrosis model) and 0.777 (95% CI, 0.748-0.806) for diagnosing cirrhosis (random forest cirrhosis model) in the training cohort, and maintained high AUROCs in the validation cohort. In the training cohort, the random forest advanced fibrosis model obtained an AUROC of 0.825 (95% CI, 0.787-0.862) in patients with hepatitis B virus DNA ≥105 IU/mL, and the random forest cirrhosis model had an AUROC of 0.828 (95% CI, 0.774-0.883) in female patients. The 2 models outperformed Fibrosis-4 Index, nonalcoholic fatty liver disease Fibrosis Score, and aspartate aminotransferase-to-platelet ratio index in the training cohort, and also performed well in the validation cohort.

CONCLUSIONS

The random forest models provide reliable, noninvasive tools for identifying advanced fibrosis and cirrhosis in CHB patients with concurrent HS, offering a significant advancement in the comanagement of the 2 diseases.

CLINICALTRIALS

gov, Number: NCT05766449.

Prevalence, distribution, and hepatic fibrosis burden of the different subtypes of steatotic liver disease in primary care settings

BACKGROUND AND AIM

In relation to the new umbrella terminology for steatotic liver disease (SLD), we aimed to elucidate the prevalence, distribution, and clinical characteristics of the SLD subgroups in the primary care setting.

APPROACH AND RESULTS

We retrospectively collected data from 2535 individuals who underwent magnetic resonance elastography and MRI proton density fat fraction during health checkups in 5 primary care health promotion clinics. We evaluated the presence of cardiometabolic risk factors according to predefined criteria and divided all the participants according to the new SLD classification. The prevalence of SLD was 39.13% in the total cohort, and 95.77% of the SLD cases had metabolic dysfunction (one or more cardiometabolic risk factors). The prevalence of metabolic dysfunction-associated steatotic liver disease (MASLD) was 29.51%, with those of metabolic dysfunction and alcohol associated steatotic liver disease (MetALD) and alcohol-associated liver disease (ALD) at 7.89% and 0.39%, respectively. According to the old criteria, the prevalence of NAFLD was 29.11%, and 95.80% of the NAFLD cases fulfilled the new criteria for MASLD. The distribution of SLD subtypes was highest for MASLD, at 75.40%, followed by MetALD at 20.06%, cryptogenic SLD at 3.33%, and ALD at 1.01%. The MetALD group had a significantly higher mean magnetic resonance elastography than the MASLD or ALD group.

CONCLUSION

Almost all the patients with NAFLD met the new criteria for MASLD. The fibrosis burden of the MetALD group was higher than those of the MASLD and ALD groups.

Mortality in patients with chronic hepatitis B treated with tenofovir or entecavir: A multinational study

BACKGROUND AND AIM

The benefits of entecavir (ETV) versus tenofovir disoproxil fumarate (TDF) in reducing the development of chronic hepatitis B (CHB)-related hepatocellular carcinoma remain controversial. Whether mortality rates differ between patients with CHB treated with ETV and those treated with TDF is unclear.

METHODS

A total of 2542 patients with CHB treated with either ETV or TDF were recruited from a multinational cohort. A 1:1 propensity score matching was performed to balance the differences in baseline characteristics between the two patient groups. We aimed to compare the all-cause, liver-related, and non-liver-related mortality between patients receiving ETV and those receiving TDF.

RESULTS

The annual incidence of all-cause mortality in the entire cohort was 1.0/100 person-years (follow-up, 15 757.5 person-years). Patients who received TDF were younger and had a higher body mass index, platelet count, hepatitis B virus deoxyribonucleic acid levels, and proportion of hepatitis B e-antigen seropositivity than those who received ETV. The factors associated with all-cause mortality were fibrosis-4 index > 6.5 (hazard ratio [HR]/confidence interval [CI]: 3.13/2.15-4.54, P < 0.001), age per year increase (HR/CI: 1.05/1.04-1.07, P < 0.001), alanine aminotransferase level per U/L increase (HR/CI: 0.997/0.996-0.999, P = 0.003), and γ-glutamyl transferase level per U/L increase (HR/CI: 1.002/1.001-1.003, P < 0.001). No significant difference in all-cause mortality was observed between the ETV and TDF groups (log-rank test, P = 0.69). After propensity score matching, no significant differences in all-cause, liver-related, or non-liver-related mortality were observed between the two groups.

CONCLUSIONS

Long-term outcomes of all-cause mortality and liver-related and non-liver-related mortality did not differ between patients treated with ETV and those receiving TDF.

Multidimensional Interactive Cascading Nanochips for Detection of Multiple Liver Diseases via Precise Metabolite Profiling

It is challenging to detect and differentiate multiple diseases with high complexity/similarity from the same organ. Metabolic analysis based on nanomatrix-assisted laser desorption/ionization mass spectrometry (NMALDI-MS) is a promising platform for disease diagnosis, while the enhanced property of its core nanomatrix materials has plenty of room for improvement. Herein, a multidimensional interactive cascade nanochip composed of iron oxide nanoparticles (FeNPs)/MXene/gold nanoparticles (AuNPs), IMG, is reported for serum metabolic profiling to achieve high-throughput detection of multiple liver diseases. MXene serves as a multi-binding site and an electron-hole source for ionization during NMALDI-MS analysis. Introduction of AuNPs with surface plasmon resonance (SPR) properties facilitates surface charge accumulation and rapid energy conversion. FeNPs are integrated into the MXene/Au nanocomposite to sharply reduce the thermal conductivity of the nanochip with negligible heat loss for strong thermally-driven desorption, and construct a multi-interaction proton transport pathway with MXene and AuNPs for strong ionization. Analysis of these enhanced serum fingerprint signals detected from the IMG nanochip through a neural network model results in differentiation of multiple liver diseases via a single pass and revelation of potential metabolic biomarkers. The promising method can rapidly and accurately screen various liver diseases, thus allowing timely treatment of liver diseases.

Recent progress on the application of compound formulas of traditional Chinese medicine in clinical trials and basic research in vivo for chronic liver disease

ETHNOPHARMACOLOGICAL RELEVANCE

Chronic liver diseases mainly include chronic viral liver disease, metabolic liver disease, cholestatic liver disease (CLD), autoimmune liver disease, and liver fibrosis or cirrhosis. Notably, the compound formulas of traditional Chinese medicine (TCM) is effective for chronic liver diseases in clinical trials and basic research in vivo, which provide evidence of chronic liver disease treatment with integrated TCM and traditional Western medicine.

AIM OF THE REVIEW

This paper aims to provide a comprehensive review of the compound formulas of TCM for treating different chronic liver diseases to elucidate the composition, main curative effects, and mechanisms of these formulas and research methods.

MATERIALS AND METHODS

Different keywords related to chronic liver diseases and keywords related to the compound formulas of TCM were used to search the literature. PubMed, Scopus, Web of Science, and CNKI were searched to screen out original articles about the compound formulas of TCM related to the treatment of chronic liver diseases, mainly including clinical trials and basic in vivo research related to Chinese patent drugs, classic prescriptions, proven prescriptions, and hospital preparations. We excluded review articles, meta-analysis articles, in vitro experiments, articles about TCM monomers, articles about single-medicine extracts, and articles with incomplete or uncertain description of prescription composition. Plant names were checked with MPNS (http://mpns.kew.org).

RESULTS

In this review, the clinical efficacy and mechanism of compound formulas of TCM were summarized for the treatment of chronic viral hepatitis, nonalcoholic fatty liver disease, CLD, and liver fibrosis or cirrhosis developed from these diseases and other chronic liver diseases. For each clinical trial and basic research in vivo, this review provides a detailed record of the specific composition of the compound formulas of TCM, type of clinical research, modeling method of animal experiments, grouping methods, medication administration, main efficacy, and mechanisms.

CONCLUSION

The general development process of chronic liver disease can be summarized as chronic hepatitis, liver fibrosis or cirrhosis, and hepatocellular carcinoma. The compound formulas of TCM have some applications in these stages of chronic liver diseases. Owing to the continuous progress of medical technology, the benefits of the compound formulas of TCM in the treatment of chronic liver diseases are constantly changing and developing.

Exploring the Multifaceted Landscape of MASLD: A Comprehensive Synthesis of Recent Studies, from Pathophysiology to Organoids and Beyond

Non-alcoholic fatty liver disease (NAFLD) is a widespread contributor to chronic liver disease globally. A recent consensus on renaming liver disease was established, and metabolic dysfunction-associated steatotic liver disease, MASLD, was chosen as the replacement for NAFLD. The disease's range extends from the less severe MASLD, previously known as non-alcoholic fatty liver (NAFL), to the more intense metabolic dysfunction-associated steatohepatitis (MASH), previously known as non-alcoholic steatohepatitis (NASH), characterized by inflammation and apoptosis. This research project endeavors to comprehensively synthesize the most recent studies on MASLD, encompassing a wide spectrum of topics such as pathophysiology, risk factors, dietary influences, lifestyle management, genetics, epigenetics, therapeutic approaches, and the prospective trajectory of MASLD, particularly exploring its connection with organoids.

Usefulness of the Fibrosis-4 index and alanine aminotransferase at 1 year of nucleos(t)ide analog treatment for prediction of hepatocellular carcinoma in chronic hepatitis B patients

AIM

Nucleos(t)ide analogs do not completely prevent hepatocellular carcinoma (HCC) in chronic hepatitis B virus infection. This study aimed to evaluate the dynamics of a non-invasive liver fibrosis marker, the Fibrosis-4 (FIB-4) index, for predicting HCC development.

METHODS

Among a total of 882 chronically hepatitis B virus infection-infected patients who were treated with nucleos(t)ide analogs, 472 patients without HCC history whose FIB-4 at baseline and 1 year of treatment was obtained were evaluated for the incidence of HCC.

RESULTS

The median FIB-4 was 2.00 at baseline and was significantly reduced to 1.58 at 1 year (P < 0.001), but the reduction was small at 2 years or later. When a receiver operating characteristic analysis of FIB-4 was performed to predict HCC within 5 years, the area under the curve of FIB-4 at 1 year was higher than that at baseline (0.676 vs. 0.599). The HCC incidence was significantly higher in patients with FIB-4 ≥1.58 than in those with FIB-4 <1.58 (14.8% vs. 3.6% at 10 years, P < 0.001). Additionally, an abnormal alanine aminotransferase (≥31 U/L) at 1 year was an independent risk for HCC. When a fibrosis and alanine aminotransferase-1 (FAL-1) score was evaluated as an applicable number of FIB-4 ≥1.58, and alanine aminotransferase ≥31 as 0, 1, and 2, the HCC risk in patients with score 2 was significantly higher than in those with score 1 or score 0 (24.1% vs. 9.8% vs. 0.7% at 10 years, P < 0.001).

CONCLUSIONS

FIB-4 ≥1.58 and alanine aminotransferase ≥31 at 1 year of nucleos(t)ide analog was an independent risk factor for HCC development, and a score using these factors stratified the risk of HCC.

Development of a machine learning-based model to predict hepatic inflammation in chronic hepatitis B patients with concurrent hepatic steatosis: a cohort study

Background

With increasingly prevalent coexistence of chronic hepatitis B (CHB) and hepatic steatosis (HS), simple, non-invasive diagnostic methods to accurately assess the severity of hepatic inflammation are needed. We aimed to build a machine learning (ML) based model to detect hepatic inflammation in patients with CHB and concurrent HS.

Methods

We conducted a multicenter, retrospective cohort study in China. Treatment-naive CHB patients with biopsy-proven HS between April 2004 and September 2022 were included. The optimal features for model development were selected by SHapley Additive explanations, and an ML algorithm with the best accuracy to diagnose moderate to severe hepatic inflammation (Scheuer's system ≥ G3) was determined and assessed by decision curve analysis (DCA) and calibration curve. This study is registered with ClinicalTrials.gov (NCT05766449).

Findings

From a pool of 1,787 treatment-naive patients with CHB and HS across eleven hospitals, 689 patients from nine of these hospitals were chosen for the development of the diagnostic model. The remaining two hospitals contributed to two independent external validation cohorts, comprising 509 patients in validation cohort 1 and 589 in validation cohort 2. Eleven features regarding inflammation, hepatic and metabolic functions were identified. The gradient boosting classifier (GBC) model showed the best performance in predicting moderate to severe hepatic inflammation, with an area under the receiver operating characteristic curve (AUROC) of 0.86 (95% CI 0.83-0.88) in the training cohort, and 0.89 (95% CI 0.86-0.92), 0.76 (95% CI 0.73-0.80) in the first and second external validation cohorts, respectively. A publicly accessible web tool was generated for the model.

Interpretation

Using simple parameters, the GBC model predicted hepatic inflammation in CHB patients with concurrent HS. It holds promise for guiding clinical management and improving patient outcomes.

Funding

This research was supported by the National Natural Science Foundation of China (No. 82170609, 81970545), Natural Science Foundation of Shandong Province (Major Project) (No. ZR2020KH006), Natural Science Foundation of Jiangsu Province (No.BK20231118), Tianjin Key Medical Discipline (Specialty), Construction Project, TJYXZDXK-059B, Tianjin Health Science and Technology Project key discipline special, TJWJ2022XK034, and Research project of Chinese traditional medicine and Chinese traditional medicine combined with Western medicine of Tianjin municipal health and Family Planning Commission (2021022).

The interplay of metabolic dysfunction-associated fatty liver disease and viral hepatitis on liver disease severity: A large community-based study in a viral endemic area

BACKGROUND AND AIM

The prevalence of metabolic dysfunction-associated fatty liver disease (MAFLD) and its interplay with hepatitis B virus (HBV) and hepatitis C virus (HCV) in terms of liver disease severity is elusive.

METHODS

A mass surveillance program was conducted in a viral hepatitis endemic area. The objective was to identify MAFLD/non-MAFLD subjects with advanced liver disease.

RESULTS

Two thousand two hundred and forty-two (41.7%) of the 5378 subjects were identified as having MAFLD, and 375 (7.0%) had advanced liver disease. The proportions of anti-HCV and HBsAg seropositivity were 19.3% and 9.7%, respectively. The proportions of advanced fibrosis in subjects with non-viral hepatitis (NBNC), HBV and HCV infection were 2.8%, 5.7% and 23.4%, respectively. Subjects with MAFLD had a significantly higher proportion of advanced fibrosis (8.7% vs 5.7%, P < 0.001). Factors associated with advanced fibrosis included age (odds ratio [OR]/95% confidence interval [CI]: 4.8/3.7-6.0, P < 0.001), male sex (OR/CI: 1.3/1.0-1.7, P = 0.019), anti-HCV seropositivity (OR/CI: 5.9/4.6-7.5, P = 0.019), MAFLD-lean metabolic dysregulation (MS) (OR/CI: 2.6/1.3-5.2, P = 0.005; compared with the non-MAFLD group) and MAFLD-diabetes (OR/CI: 1.5/1.1-2.1, P = 0.008; compared with the non-MAFLD group). MAFLD did not aggravate liver disease severity in patients with viral hepatitis. However, among NBNC subjects, factors associated with advanced liver disease included MAFLD-lean MS group (OR/CI: 9.1/2.4-34.6, P = 0.001; compared with non-MAFLD group) and MAFLD-DM group (OR/CI: 2.0/1.2-3.2, P = 0.004; compared with non-MAFLD group).

CONCLUSIONS

MAFLD patients with diabetes and metabolic dysregulation had a higher risk of advanced liver disease. The effect was more significant in non-viral hepatitis subjects in a community level.

Global epidemiology of early-onset liver cancer attributable to specific aetiologies and risk factors from 2010 to 2019

Background

Considering its emergence as a public health concern worldwide, with potential spatial-temporal heterogeneities, we aimed to determine the global burden of early-onset liver cancer attributable to aetiologies and concomitant risk factors.

Methods

We used data from the Global Burden of Diseases Study 2019 to determine age-standardised disability-adjusted life-year (DALY) rates for early-onset liver cancer by aetiologies and the population DALYs attributable to concomitant risk factors between 2010 and 2019. We also calculated estimated annual percentage changes (EAPCs) to measure temporal trends.

Results

There were 2.9 million DALYs related to early-onset liver cancer globally in 2019. East Asia contributed over half of DALYs, which increased annually by 1.23% (95% confidence interval (CI) = 0.71, 1.76) between 2010 and 2019. Non-alcoholic steatohepatitis was the only growing aetiology. The proportion of DALYs attributed to metabolic risks increased by 22.50% (95% CI = 14.33, 38.13), while behavioral risks remained stable. Obesity surpassed smoking as the most prevalent nondeterministic aetiological risk factor from 2010 to 2019, while the population DALY attributable to hepatitis B combined with obesity increased by 29.93% (95% CI = 8.49, 60.77) in the same period, making it the principal joint contributor.

Conclusions

Early-onset liver cancer poses considerable disability and continues to increase in many regions, especially in East Asia. Metabolic risk factors, particularly when hepatitis B and obesity coexist, are the fastest-growing contributors to this type of cancer. More targeted interventions are imperative to curb the growing burden of early-onset liver cancer due to metabolic risks.

Persistent steatosis correlates with decreased fibrosis regression during anti-HBV treatment in patients with chronic HBV infection

Despite the increasing prevalence of steatosis in patients with chronic hepatitis B (CHB), whether the changes in steatosis impact fibrosis regression during antiviral therapy remain unclear. We aimed to identify the association between histological changes of steatosis and fibrosis in patients undergone antiviral treatment. Patients with paired liver biopsies before and after 78 weeks of antiviral therapy were enrolled in this study. Liver fibrosis was assessed by the Ishak score combined with Beijing Classification predominantly progressive, indeterminate, and predominately regressive score. Steatosis was evaluated by the nonalcoholic fatty liver disease activity score. Collagen in each site was quantitated by second harmonic generation/two photon excitation fluorescence technology. Serum proteomic changes after treatment were characterized by mass-based spectrometry. A total of 239 CHB patients were included and divided into four groups according to the changes in steatosis: 162 (67.8%) had no steatosis throughout, 24 (10.0%) developed new-onset steatosis, 21 (8.8%) had initial steatosis which disappeared, and 32 (13.4%) had persistent steatosis. The persistent steatosis group showed the lowest rate of fibrosis regression (14/32, 43.8%). Persistent steatosis correlated with decreased fibrosis regression significantly after adjusting for age, sex, fibrosis stage, and metabolic factors at baseline, as well as the viral response (adjusted odds ratio = 0.380, 95% confidence interval 0.145-0.996, p = 0.049). This decreased fibrosis regression was associated with accumulated collagen in the perisinusoidal area. Patients with persistent steatosis showed unique changes in glycolipid metabolism according to the serum proteomic atlas. Persistent steatosis correlated with decreased fibrosis regression during antiviral therapy in patients with CHB.

The relationship between the serum lipid profile and hepatocellular carcinoma in east Asian population: A mendelian randomization study

Background

Although several studies have found that the serum lipid profile may be correlated with hepatocellular carcinoma (HCC), the causal relationships between the serum lipid profile and HCC have not been determined due to potential confounder. Here, Mendelian randomization (MR) analysis was performed to identify the relationship between the serum lipid profile and HCC in the East Asian population.

Method

Our study made a MR analysis with the validation of two data sets. We obtained genome-wide association study (GWAS) data related to the serum lipid profile from Asian Genetic Epidemiology Network (AGEN). Then, the data from a recent large GWAS of the East Asian ancestry in Japan (BioBank Japan, BBJ) were extracted. Summary-level statistical data for HCC were obtained from a large GWAS of the East Asian ancestry in Japan. Univariable MR analysis were performed to identify whether the genetic evidence of serum lipid profile was significantly associated with HCC risk. Multivariable MR analysis was conducted to estimate the independent effects of exposures on HCC.

Results

Univariable and multivariable MR analyses indicated that the serum lipid profile was not a risk factor for HCC incidence in either data set based on the East Asian population. Multivariable MR analysis revealed that the hazard ratios of the probability of HCC in AGEN were 1.134 (95% confidence interval (CI), 0.903-1.424) for TG, 1.010 (95% CI: 0.824-1.237) for HDL-C, 0.974 (95% CI: 0.746-1.271) for TC, 0.918 (95% CI: 0.734-1.147) for LDL-C, while the results in BBJ were also non-significant: 1.111 (95% CI: 0.869-1.419) for TG, 0.957 (95% CI: 0.790-1.158) for HDL-C, 0.917 (95% CI: 0.643-1.308) for TC, 0.932 (95% CI: 0.699-1.243) for LDL-C.

Conclusion

Our MR study with the validation of two data sets found no strong evidence to support causal associations between the serum lipid profile and HCC risk.

Identification of acetyl-CoA carboxylase alpha as a prognostic and targeted candidate for hepatocellular carcinoma

PURPOSE

The de novo lipogenesis has been a longstanding observation in hepatocellular carcinoma (HCC). However, the prognostic value and carcinogenic roles of the enzyme Acetyl-CoA carboxylase alpha (ACACA) in HCC remains unknown.

METHODS

The proteins with remarkable prognostic significance were screened out from The Cancer Proteome Atlas Portal (TCPA) database. Furthermore, the expression characteristics and prognostic value of ACACA were evaluated in multiple databases and the local HCC cohort. The loss-of-function assays were performed to uncover the potential roles of ACACA in steering malignant behaviors of HCC cells. The underlying mechanisms were conjectured by bioinformatics and validated in HCC cell lines.

RESULTS

ACACA was identified as a crucial factor of HCC prognosis. Bioinformatics analyses showed that HCC patients with higher expression of ACACA protein or mRNA levels had poor prognosis. Knockdown of ACACA remarkably crippled the proliferation, colony formation, migration, invasion, epithelial-mesenchymal transition (EMT) process of HCC cells and induced the cell cycle arrest. Mechanistically, ACACA might facilitate the malignant phenotypes of HCC through aberrant activation of Wnt/β-catenin signaling pathway. In addition, ACACA expression was associated with the dilute infiltration of immune cells including plasmacytoid DC (pDC) and cytotoxic cells by utilization of relevant database analysis.

CONCLUSION

ACACA could be a potential biomarker and molecular target for HCC.

Perspectives on the Underlying Etiology of HCC and Its Effects on Treatment Outcomes

Hepatocellular carcinoma (HCC) continues to be a serious medical problem with poor prognosis worldwide. The distribution of the major etiologies of HCC is changing due to the progress of anti-viral treatments, including hepatitis B virus (HBV) suppression by nucleoside/nucleotide analogues (NAs) and increased sustained virologic response (SVR) rates by direct-acting antivirals (DAAs) for hepatitis C virus (HCV), as well as the rising trend of nonviral liver disease. Although viral hepatitis remains the most common cause of HCC, non-alcoholic liver disease (NAFLD) with metabolic syndrome and alcohol-associated liver disease (ALD) are increasing. Effective and well-tolerated NAs treatment can slow the disease progression of chronic HBV infection to cirrhosis, end-stage liver disease, and reduce HCC risk. Treatment with NAs is also associated with significant improvement in the long-term survival of patients with HBV infection who already have HCC. DAAs have achieved viral elimination in almost all patients with HCV without significant adverse events, even in patients with decompensated liver cirrhosis and HCC. Similarly, DAA therapy can reduce disease progression, liver and non-liver complications, and improve the long-term survival of patients with chronic HCV infection with or without HCC. Meanwhile, NAFLD is a rapidly increasing cause of HCC along with the epidemics of obesity and type 2 diabetes globally. NAFLD-related HCC can occur in patients without cirrhosis and is known to have a lower survival rate than viral hepatitis-related HCC. Since there is currently no specific pharmacotherapy effective for NAFLD, lifestyle modification and prevention of complications are important to improve prognosis. Additionally, ALD is the second fastest-growing cause of HCC-related deaths, especially with an accelerated trend since the COVID-19 pandemic. This review provides an overview of the epidemiologic trends in the etiologies of HCC, and the progress of treatments for each etiology and the impact on outcome in the patients with HCC.