Hepatology最新文献

Background and aims: Metabolic dysfunction-associated steatohepatitis (MASH) is a leading cause of liver disease. Dynamic changes in MRI proton-density-fat fraction (PDFF) are associated with MASH resolution. We aimed to determine the relative efficacy of therapeutic agents for reducing hepatic fat, assessed by MRI-PDFF.

Approach and results: In this systematic review and network meta-analysis, we searched MEDLINE and Embase from inception until December 26, 2023, for published randomized controlled trials comparing pharmacological interventions in patients with MASH that assessed changes in MRI-PDFF. The primary outcome was the absolute change in MRI-PDFF. The secondary outcome was a ≥30% decline in MRI-PDFF. A surface under-the-curve cumulative ranking probabilities (SUCRA) analysis was performed. Of 1550 records, a total of 39 randomized controlled trials (3311 participants) met the inclusion criteria. For MRI-PDFF decline at 24 weeks, aldafermin (SUCRA: 83.65), pegozafermin (SUCRA: 83.46), and pioglitazone (SUCRA: 71.67) were ranked the most effective interventions. At 24 weeks, efinopegdutide (SUCRA: 67.02), semaglutide + firsocostat (SUCRA: 62.43), and pegbelfermin (SUCRA: 61.68) were ranked the most effective interventions for achieving a ≥30% decline in MRI-PDFF.

Conclusions: This study provides an updated, relative rank-order efficacy of therapies for MASH in reducing hepatic fat. These data may help inform the design and sample size calculation of future clinical trials and assist in the selection of combination therapy.

Background and aims: Prior work has shown that MRI-derived proton density fat fraction (PDFF) can diagnose metabolic dysfunction-associated steatotic liver disease (MASLD) noninvasively, but there is a paucity of data on the performance of PDFF to classify more advanced forms of the MASLD spectrum. The purpose of this study was to assess the diagnostic performance of PDFF for the diagnoses of MASLD, metabolic dysfunction-associated steatohepatitis (MASH), and fibrotic MASH in adults with obesity undergoing bariatric surgery, using contemporaneous intraoperative liver biopsy as a reference.

Approach and results: PDFF was evaluated alone and with other potential classifiers (imaging, serum and anthropometric), using Bayesian Information Criterion-based stepwise logistic regression models. Areas under the receiver operating characteristic (ROC) curves (AUC) were computed for all models and single classifiers. Cross-validated sensitivity and specificity were calculated at Youden-based PDFF classification thresholds. Data analysis from 140 patients demonstrated that PDFF was the most accurate single classifier, with high AUC for MASLD (0.95), MASH (0.85), and fibrotic MASH (0.82) (all p <0.001). Multivariable models, including PDFF, outperformed those without PDFF. The Youden-based threshold for PDFF was 4.4% for MASLD (sensitivity: 87%, specificity: 86%), 6.9% for MASH (sensitivity: 77%, specificity: 66%), and 13.5% for fibrotic MASH (sensitivity: 67%, specificity: 85%).

Conclusions: PDFF was the most accurate single classifier for diagnosing MASLD, MASH, and fibrotic MASH. The most accurate multivariable classification models for MASLD, MASH, and fibrotic MASH included PDFF, demonstrating the central importance of PDFF for noninvasive assessment of the MASLD spectrum.

Metabolic dysfunction-associated steatotic liver disease is closely associated with other features of the metabolic syndrome such as type 2 diabetes. The progression of the disease may lead to liver fibrosis, which is the main predictor of major adverse liver outcomes. Insulin resistance plays a major role in the pathogenesis of the disease. A component of fasting hyperinsulinemia is a failure of the liver to adjust the peripheral level of insulin due to reduced clearance. The associated fasting hyperinsulinemia has been independently associated as a predictor of major adverse liver outcomes and major adverse cardiovascular events. In this review, we discuss the potential mechanism and entanglement between liver fibrosis and hyperinsulinemia, and we hypothesize that the measure of fasting insulin could become a hepatic functional test within the armamentarium of noninvasive tests for the assessment of Metabolic dysfunction-associated steatotic liver disease.

Background aims: Collagen is the main cargo of the secretory pathway, contributing to hepatic fibrogenesis due to extensive accumulation of extracellular matrix. An excess of collagen deposition is a characteristic feature of several chronic liver diseases. Collagen overproduction imposes pressure on the secretory pathway, altering endoplasmic reticulum (ER) proteostasis. Here, we investigated the possible contribution of the unfolded protein response, the main adaptive pathway that monitors and adjusts protein production capacity at the ER, to collagen biogenesis and liver disease.

Approach results: We used multi-mice models combined with multi-omics approaches followed by cell culture studies. In addition, we validated results using human metabolic dysfunction-associated steatohepatitis (MASH) samples. Genetic ablation of the ER stress sensor IRE1 in the liver using conditional knockout mice reduced liver damage and collagen deposition in models of fibrosis, steatosis, and acute hepatotoxicity. Proteomic profiling identified the prolyl 4-hydroxylase (P4HB, also known as PDIA1) as a major IRE1-regulated gene, a critical factor involved in collagen maturation. Cell culture studies demonstrated that IRE1 deficiency results in collagen retention at the ER, reducing its secretion, and this phenotype is rescued by P4HB/PDIA1 overexpression. Analyses of human MASH samples revealed a positive correlation between IRE1 signaling and P4HB/PDIA1 expression as well as the severity of the disease.

Conclusions: Altogether, our results establish a role of the IRE1/P4HB axis in the regulation of collagen production and support its implication in the pathogenesis of liver fibrosis.

Background and aims: HCC poses a significant global health burden, with HBV being the predominant etiology in China. However, current diagnostic markers lack the requisite sensitivity and specificity. This study aims to develop and validate serum N-glycomics-based models for the diagnosis and prognosis of HCC in patients with chronic hepatitis B-related cirrhosis.

Approach and results: This study enrolled a total of 397 patients with chronic hepatitis B-related cirrhosis and HCC for clinical management. N-glycomics profiling was conducted on all participants, and clinical data were collected. First, machine learning-based models, Hepatocellular Carcinoma Glycomics Random Forest model and Hepatocellular Carcinoma Glycomics Support Vector Machine model, were established for early screening and diagnosis of HCC using N-glycomics. The AUC values in the validation set were 0.967 (95% CI: 0.930-1.000) and 0.908 (0.840-0.976) for Hepatocellular Carcinoma Glycomics Random Forest model and Hepatocellular Carcinoma Glycomics Support Vector Machine model, respectively, outperforming AFP (0.687 [0.575-0.765]) and Protein Induced by Vitamin K Absence or Antagonist-II (PIVKA-II) (0.665 [0.507-0.823]). It also showed superiority in subgroup analysis and external validation. Calibration and decision curve analysis also showed good predictive performance. Additionally, we developed a prognostic model, the prog-G model, based on N-glycans to monitor recurrence in patients with HCC after curative treatment. During the follow-up period, it was observed that this model correlated with the clinical condition of the patients and could identify all recurrent HCC cases (n=12) prior to imaging findings, outperforming AFP (n=7) and PIVKA-II (n=9), while also detecting recurrent lesions earlier than imaging.

Conclusions: N-glycomics models can effectively predict the occurrence and recurrence of HCC to improving the efficiency of clinical decision-making and promoting the precision treatment of HCC.

Over the last 20 years, there has been an alarming increase in alcohol use and AUD prevalence among women, narrowing the historical gender gap. Concurrently, there has also been a significant rise in alcohol-associated liver disease (ALD) prevalence, severity, and mortality among women. Despite this, there are no recent reviews that have sought to evaluate both sex and gender differences at the intersection of AUD and ALD. In this narrative review, we address the escalating rates of ALD and AUD in the United States, with a specific focus on the disproportionate impact on women. Sex and gender play an important and well-known role in the pathogenesis and epidemiology of ALD. However, sex and gender are also implicated in the development and prevalence of AUD, as well as in the treatment of AUD, all of which have important consequences on the approach to the treatment of patients with ALD and AUD. A better understanding of sex and gender differences in AUD, ALD, and the intersection of the 2 is essential to enhance prevention, diagnosis, and management strategies. These data underscore the urgent need for awareness and preventive efforts to mitigate the potential long-term health consequences.