Coronary artery disease (CAD) is increasingly observed in patients with liver cirrhosis. However, data on the incidence and prevalence of CAD in cirrhotic patients are heterogeneous, and the association remains uncertain. In this study, we aimed to conduct a systematic review and meta-analysis to address these issues.

PubMed, EMBASE, and Cochrane Library databases were searched. Incidence, prevalence, and factors associated with CAD were pooled using a random-effects model. Risk ratio (RR) and odds ratio (OR), with their 95% confidence interval (CI), were calculated to evaluate differences in CAD incidence and prevalence between patients with and without liver cirrhosis.

Fifty-one studies were included. The pooled incidences of CAD, acute coronary syndromes, and myocardial infarction (MI) were 2.28%, 2.02%, and 1.80%, respectively. Liver cirrhosis was not significantly associated with CAD incidence (RR = 0.77; 95% CI = 0.46–1.28) or MI (RR = 0.87; 95% CI = 0.49–1.57). The pooled prevalence of CAD, acute coronary syndromes, and MI was 18.87%, 12.54%, and 6.12%, respectively. Liver cirrhosis was not significantly associated with CAD prevalence (OR = 1.29; 95% CI = 0.83–2.01) or MI (OR = 0.58; 95% CI = 0.28–1.22). Non-alcoholic steatohepatitis, hepatitis C virus, advanced age, male sex, diabetes mellitus, hypertension, hyperlipidemia, smoking history, and family history of CAD were significantly associated with CAD in cirrhotic patients.

CAD is common in cirrhotic patients, but cirrhosis itself may not be associated with an increased CAD risk. In addition to traditional risk factors, non-alcoholic steatohepatitis and hepatitis C virus infection are also associated with CAD presence in cirrhotic patients.

Alpha-1 antitrypsin deficiency (AATD) is a genetic disorder associated with liver disease, ranging from fibrosis to hepatocellular carcinoma. The disease remains asymptomatic until its final stages when liver transplantation is the only available therapy. Biomarkers offer an advantage for disease evaluation. The presence of microRNAs (miRNAs) in plasma extracellular vesicles (EVs) presents a noninvasive approach to assess the molecular signatures of the disease. In this study, we aimed to identify miRNA biomarkers to distinguish molecular signatures of the liver disease associated with AATD in AATD individuals.

Using small RNA sequencing and qPCR, we examined plasma EV miRNAs in healthy controls (n = 20) and AATD patients (n = 17). We compared the EV miRNAs of AATD individuals with and without liver disease, developing an approach for detecting liver disease. A set of miRNAs identified in the AATD testing cohort was validated in a separate cohort of AATD patients (n = 45).

We identified differential expression of 178 EV miRNAs in the plasma of the AATD testing cohort compared to controls. We categorized AATD individuals into those with and without liver disease, identifying 39 differentially expressed miRNAs. Six miRNAs were selected to test their ability to discriminate liver disease in AATD. These were validated for their specificity and sensitivity in an independent cohort of 45 AATD individuals. Our logistic model established composite scores with three- and four-miRNA combinations, achieving areas under the curve of 0.737 and 0.751, respectively, for predicting AATD liver disease.

We introduce plasma EV-derived miRNAs as potential biomarkers for evaluating AATD liver disease. Plasma EV-associated miRNAs may represent a molecular signature of AATD liver disease and could serve as valuable tools for its detection and monitoring.

Since its proposal, the Model for End-Stage Liver Disease (MELD) score has been employed to predict short-term mortality among patients with chronic liver disease and those awaiting liver transplantation, serving as the primary criterion for organ allocation. However, as the demographic and epidemiological characteristics of chronic liver disease and liver transplantation have evolved, a range of MELD-related scores has emerged, including MELD-Na, iMELD, delta MELD, MELD XI, MELD-LA, and pediatric end-stage liver disease, culminating in the recently proposed MELD 3.0, which builds upon MELD-Na. This study aimed to comprehensively review and summarize relevant studies on MELD 3.0 in various scenarios, assessing its effectiveness in organ allocation, post-transplantation outcomes, and mortality prediction for patients with end-stage liver disease. Our preliminary findings indicate superior predictive performance of MELD 3.0, warranting further in-depth investigations to broaden its clinical implications.

Metabolic dysfunction-associated fatty liver disease (MAFLD) is a new concept, proposed in 2020; however, its applicability in Asia populations has yet to be evaluated. Therefore, we aimed to compare the difference in epidemiological and clinical characteristics between MAFLD and non-alcoholic fatty liver disease (NAFLD) among Asian populations.

Based on the Jinchang cohort, 30,633 participants were collected. The prevalence and incidence of MAFLD and NAFLD were used to analyze the epidemic characteristics and its overlapping effects. In addition, the corresponding clinical characteristics of the two diagnostic criteria populations were compared.

The prevalence rates of MAFLD and NAFLD were 21.03% and 18.83%, respectively. After an average 2.28-year follow-up, the incidence densities of MAFLD and NAFLD were 41.58 per 1,000 person-years and 37.69 per 1,000 person-years, respectively. With the increase of baseline age, body mass index (BMI), and waist circumference (WC) levels, the prevalence and incidence of MAFLD and NAFLD were on the rise (all ptrend<0.05). Among the total patients diagnosed at baseline or follow-up, most patients had both MAFLD and NAFLD, accounting for 78.84% and 82.88%, respectively. Compared with NAFLD, MAFLD patients had greater proportions of males and metabolic diseases (diabetes, dyslipidemia), and had higher BMI, WC, liver enzymes, blood glucose, and lipid levels in the baseline diagnosis patients (p<0.05). Additionally, lean MAFLD patients had higher metabolic disorders than lean NAFLD patients (p<0.05).

Compared with NAFLD, the newly proposed definition of MAFLD is more practical and accurate, and it can help identify more fatty liver patients with high-risk diseases.

Change of gut microbiota composition is associated with the outcome of hepatitis B virus (HBV) infection, yet the related mechanisms are not fully characterized. The objective of this study was to investigate the immune mechanism associated with HBV persistence induced by gut microbiota dysbiosis.

C57BL/6 mice were sterilized for gut-microbiota by using an antibiotic (ABX) mixture protocol, and were monitored for their serum endotoxin (lipopolysaccharide [LPS]) levels. An HBV-replicating mouse model was established by performing HBV-expressing plasmid pAAV/HBV1.2 hydrodynamic injection (HDI) with or without LPS, and was monitored for serum hepatitis B surface antigen, hepatitis B e antigen, HBV DNA, and cytokine levels. Kupffer cells (KCs) were purified from antibiotic-treated mice and HBV-replicating mice and analyzed for IL-10 production and T cell suppression ability.

ABX treatment resulted in increased serum LPS levels in mice. The KCs separated from both ABX-treated and LPS-treated HBV-replicating mice showed significantly increased IL-10 production and enhanced ability to suppress IFN-γ production of TCR-activated T cells than the KCs separated from their counterpart controls. HDI of pAAV/HBV1.2 in combination with LPS in mice led to a delayed HBV clearance and early elevation of serum IL-10 levels compared to pAAV/HBV1.2 HDI alone. Moreover, IL-10 function blockade or KC depletion led to accelerated HBV clearance in LPS-treated HBV-replicating mice.

Our results suggest that dysbiosis of the gut microbiota in mice leads to endotoxemia, which induces KC IL-10 production and strengthens KC-mediated T cell suppression, and thus facilitates HBV persistence.

Timely and effective assessment scoring systems for predicting the mortality of patients with hepatitis E virus-related acute liver failure (HEV-ALF) are urgently needed. The present study aimed to establish an effective nomogram for predicting the mortality of HEV-ALF patients.

The nomogram was based on a cross-sectional set of 404 HEV-ALF patients who were identified and enrolled from a cohort of 650 patients with liver failure. To compare the performance with that of the model for end-stage liver disease (MELD) scoring and CLIF-Consortium-acute-on-chronic liver failure score (CLIF-C-ACLFs) models, we assessed the predictive accuracy of the nomogram using the concordance index (C-index), and its discriminative ability using time-dependent receiver operating characteristics (td-ROC) analysis, respectively.

Multivariate logistic regression analysis of the development set carried out to predict mortality revealed that γ-glutamyl transpeptidase, albumin, total bilirubin, urea nitrogen, creatinine, international normalized ratio, and neutrophil-to-lymphocyte ratio were independent factors, all of which were incorporated into the new nomogram to predict the mortality of HEV-ALF patients. The area under the curve of this nomogram for mortality prediction was 0.671 (95% confidence interval: 0.602–0.740), which was higher than that of the MELD and CLIF-C-ACLFs models. Moreover, the td-ROC and decision curves analysis showed that both discriminative ability and threshold probabilities of the nomogram were superior to those of the MELD and CLIF-C-ACLFs models. A similar trend was observed in the validation set.

The novel nomogram is an accurate and efficient mortality prediction method for HEV-ALF patients.

Hepatic injury and subsequent hepatic failure due to both intentional and non-intentional overdose of acetaminophen (APAP) has affected patients for decades, and involves the cornerstone metabolic pathways which take place in the microsomes within hepatocytes. APAP hepatotoxicity remains a global issue; in the United States, in particular, it accounts for more than 50% of overdose-related acute liver failure and approximately 20% of the liver transplant cases. The pathophysiology, disease course and management of acute liver failure secondary to APAP toxicity remain to be precisely elucidated, and adverse patient outcomes with increased morbidity and mortality continue to occur. Although APAP hepatotoxicity follows a predictable timeline of hepatic failure, its clinical presentation might vary. N-acetylcysteine (NAC) therapy is considered as the mainstay therapy, but liver transplantation might represent a life-saving procedure for selected patients. Future research focus in this field may benefit from shifting towards obtaining antidotal knowledge at the molecular level, with focus on the underlying molecular signaling pathways.

Metabolic-associated fatty liver disease (MAFLD) is a new disease definition, and is proposed to replace the previous name, nonalcoholic fatty liver disease (NAFLD). Globally, MAFLD/NAFLD is the most common liver disease, with an incidence rate ranging from 6% to 35% in adult populations. The pathogenesis of MAFLD/NAFLD is closely related to insulin resistance (IR), and the genetic susceptibility to acquired metabolic stress-associated liver injury. Similarly, the gut microbiota in MAFLD/NAFLD is being revaluated by scientists, as the gut and liver influence each other via the gut-liver axis. Ferroptosis is a novel form of programmed cell death caused by iron-dependent lipid peroxidation. Emerging evidence suggests that ferroptosis has a key role in the pathological progression of MAFLD/NAFLD, and inhibition of ferroptosis may become a novel therapeutic strategy for the treatment of NAFLD. This review focuses on the main mechanisms behind the promotion of MAFLD/NAFLD occurrence and development by the intestinal microbiota and ferroptosis. It outlines new strategies to target the intestinal microbiota and ferroptosis to facilitate future MAFLD/NAFLD therapies.

Hepatic cysts (HCs) are frequently discovered incidentally on abdominal imaging. The prevalence of HCs has been reported as high as 15–18% in the United States. Although most cysts are benign, some are malignant or premalignant. It is important to diagnose cystic lesions in order to properly manage them. Imaging with conventional ultrasound, computed tomography, magnetic resonance imaging, or contrast-enhanced ultrasound can be used to further characterize and diagnose HCs. Ultrasound is typically the first-line imaging modality, whereas more advanced imaging can help narrow down the specific lesion. Contrast-enhanced ultrasound is a newer modality, recently approved in the United States, which offers non-invasive evaluation in real-time. The first step in diagnosis is stratifying risk by differentiating simple and complex cysts. There are several features that can help identify HCs, including septae, mural consistency, calcifications, and quality of cystic fluid. Simple cysts are mainly congenital cysts, but also occur in polycystic liver disease. Complex cysts include mucinous neoplasms, echinococcal cysts, hemorrhagic cysts, cystic hepatocellular carcinoma and other rare lesions. Treatment is indicated in symptomatic cysts or those suspicious for malignant or premalignant features. Treatment modalities include fenestration, aspiration sclerotherapy, or surgical resection.