FibroScan-AST (FAST) score for the non-invasive identification of patients with non-alcoholic steatohepatitis with significant activity and fibrosis: a prospective derivation and global validation study

Diagnostic Accuracy of Noninvasive Scores for Fibrotic MASH in a Cohort of Biopsy-proven MASLD Patients With Predominantly High BMI in the Primary Care Setting

Background

Currently, the Fibrosis-4 (FIB-4) and nonalcoholic fatty liver disease fibrosis score (NFS) are used to predict fibrosis and steatosis in patients with or at risk for metabolic dysfunction-associated steatotic liver disease (MASLD). More recently, the fibrotic nonalcoholic steatohepatitis (NASH) index (FNI) and steatosis-associated fibrosis estimator (SAFE) have been created. We have compared the accuracy of these noninvasive scoring systems in MASLD patients.

Methods

This is a retrospective analysis of 244 biopsy-proven MASLD patients from a tertiary health care system. Score performances were determined by calculating the area under the receiver operating characteristic (AUROC) curve with 95% confidence intervals, sensitivity, specificity, negative predictive value (NPV), and positive predictive value (PPV).

Results

About 25 (10.3%) patients had fibrotic metabolic dysfunction-associated steatohepatitis (MASH). The FNI score was best at predicting fibrotic MASH with an AUROC of 0.78, while NFS was the worst at predicting fibrotic NASH with an AUROC of 0.60. In the entire cohort, FNI of 0.33, FIB-4 of 2.67, SAFE >100, and NFS >0.675 had PPVs of 17%, 31%, 17%, and 16%, respectively, and NPVs of 97%, 92%, 96%, and 91%, respectively. Specificity was greatest for FIB4 at 92% and NFS at 86%, whereas the sensitivity was greatest for FNI and SAFE scores at 88% and 80%, respectively.

Conclusion

FNI and SAFE scores have superior diagnostic accuracy for fibrotic MASH compared to other scoring systems. While liver biopsy remains the gold standard diagnostic method, noninvasive scores like FNI, and SAFE scores can be used in everyday clinical practice to assess for fibrotic MASH.

Head-to-head comparison among FAST, MAST, and multiparametric MRI-based new score in diagnosing at-risk MASH

OBJECTIVES

New scores were developed to identify at-risk metabolic dysfunction-associated steatohepatitis (MASH) using multiparametric MRI (mpMRI).

MATERIALS AND METHODS

A prospective study was conducted on 176 patients with suspected or diagnosed metabolic dysfunction-associated steatotic liver disease (MASLD) paired with an MR scan, vibration-controlled transient elastography (VCTE), and liver biopsy. Liver stiffness measurement (LSM) using magnetic resonance elastography (MRE), proton density fat fraction (PDFF), and mpMRI-based corrected T1 (cT1) were combined to develop a one-step strategy, named MPcT (MRE + PDFF + cT1, combined score), and a two-step strategy-MRE-based LSM followed by PDFF with cT1 (M-PcT, paired score) for diagnosing at-risk MASH. Each model was categorized using rule-in and rule-out criteria (three categorized analyses). To avoid overfitting, the diagnostic accuracies were evaluated based on 5-fold cross-validation.

RESULTS

PDFF + cT1 (PcT) had the highest diagnostic performance for severe activity (hepatic inflammation plus ballooning grade ≥ 3) and for NAS ≥ 4 (active MASH). Areas under receiver operating characteristic curves (AUROCs) of M-PcT (0.832) for detecting at-risk MASH were significantly higher than those of Fibroscan-AST (FAST) (0.744, p = 0.017), MRI-AST (MAST) (0.710, p = 0.002), and MPcT (0.695, p < 0.001) in three categorized analysis. Following the rule-in criteria, positive predictive values of M-PcT (84.5%) were higher than those of FAST (73.5%), MAST (70.0%), and MPcT (66.7%). Following the rule-out criteria, negative predictive values of M-PcT (88.7%) were higher than those of FAST (84.0%), MAST (73.9%), and MPcT (84.9%).

CONCLUSIONS

The two-step strategy, M-PcT (paired score), showed the reliability of rule-in/-out for at-risk MASH, with better predictive performance compared with FAST and MAST (combined score).

CLINICAL TRIAL REGISTRATION

This study is registered with ClinicalTrials.gov (number, UMIN000012757).

KEY POINTS

Question There is no mpMRI-based method for detecting as-risk MASH (NAFLD activity score ≥ 4 with fibrosis stage ≥ 2) like FAST and MAST scores. Findings MRE-based LSMs followed by PDFF with cT1 (M-PcT) were more useful in detecting at-risk MASH than the combined score (FAST and MAST). Clinical relevance By combining MRE and PDFF with cT1, it becomes possible to evaluate the pathology of MASH without the need for a liver biopsy, assisting in prognosis prediction and decision-making for treatment options.

Uncovering hepatic transcriptomic and circulating proteomic signatures in MASH: A meta-analysis and machine learning-based biomarker discovery

BACKGROUND

Metabolic-associated steatohepatitis (MASH), the progressive form of metabolic-associated steatotic liver disease (MASLD), poses significant risks for liver fibrosis and cardiovascular complications. Despite extensive research, reliable biomarkers for MASH diagnosis and progression remain elusive. This study aimed to identify hepatic transcriptomic and circulating proteomic signatures specific to MASH, and to develop a machine learning-based biomarker discovery model.

METHODS

A systematic review of RNA-Seq and proteomic datasets was conducted, retrieving 7 hepatic transcriptomics and 3 circulating proteomics studies, encompassing 483 liver samples and 169 serum/plasma samples, respectively. Differential gene and protein expression analyses were performed, and pathways were enriched using gene set enrichment analysis. A machine learning (ML) model was developed to identify MASH-specific biomarkers, utilizing biologically significant protein ratios.

KEY FINDINGS

Hepatic transcriptomic analysis identified 5017 differentially expressed genes (DEGs), with significant enrichment of extracellular matrix (ECM) pathways. Serum proteomics revealed six differentially expressed proteins (DEPs), including complement-related proteins. Integration of transcriptomic and proteomic data highlighted the complement cascade as a key pathway in MASH, with discordant regulation between the liver and circulation. The ML-based biomarker discovery model, utilizing protein ratios, achieved an F1 scores of 0.83 and 0.64 in the training sets and 0.67 in an external validation set.

CONCLUSION

Our findings indicate ECM deregulation and complement system involvement in MASH progression. The novel ML model incorporating protein ratios offers a potential tool for MASH diagnosis. However, further refinement and validation across larger and more diverse cohorts is needed to generalize these results.

Intestinal bacteria-derived extracellular vesicles in metabolic dysfunction-associated steatotic liver disease: From mechanisms to therapeutics

Metabolic dysfunction-associated steatotic liver disease (MASLD) is a progressive disease that affects the health of approximately one-third of the world's population. It is the primary cause of end-stage liver disease, liver malignancy, and liver transplantation, resulting in a great medical burden. No medications have yet been approved by the US Food and Drug Administration for treating MASLD without liver inflammation or scarring. Therefore, the development of specific drugs to treat MASLD remains a key task in the ongoing research objective. Extracellular vesicles (EVs) play an important role in the communication between organs, tissues, and cells. Recent studies have found that intestinal microbiota are closely related to the pathogenesis and progression of MASLD. EVs produced by bacteria (BEVs) play an indispensable role in this process. Thus, this study provides a new direction for MASLD treatment. However, the mechanism by which BEVs affect MASLD remains unclear. Therefore, this study investigated the influence and function of intestinal microbiota in MASLD. Additionally, we focus on the research progress of BEVs in recent years and explain the relationship between BEVs and MASLD from the perspectives of glucose and lipid metabolism, immune responses, and intestinal homeostasis. Finally, we summarized the potential therapeutic value of BEVs and EVs from other sources, such as adipocytes, immunocytes, stem cells, and plants.

Disease classification, diagnostic challenges, and evolving clinical trial design in MASLD

Metabolic dysfunction-associated steatotic liver disease (MASLD) diagnosis and management have evolved rapidly alongside the increasing prevalence of obesity and related complications. Hepatology has expanded its focus beyond late-stage cirrhosis and portal hypertension to earlier, complex MASLD cases in younger patients, necessitating closer collaboration with endocrinology. The renaming of nonalcoholic fatty liver disease (NAFLD) to MASLD reflects its pathophysiology, reduces stigma, and has prompted new research directions. Noninvasive tests such as liver stiffness measurement now play a crucial role in diagnosis, reducing reliance on invasive liver biopsies. However, advanced omics technologies, despite their potential to enhance diagnostic precision and patient stratification, remain underutilized in routine clinical practice. Behavioral factors, including posttraumatic stress disorder (PTSD) and lifestyle choices, influence disease outcomes and must be integrated into patient management strategies. Primary care settings are critical for early screening to prevent progression to advanced disease, yet sizable challenges remain in implementing effective screening protocols. This Review explores these evolving aspects of MASLD diagnosis and management, emphasizing the need for improved diagnostic tools, multidisciplinary collaboration, and holistic care approaches to address existing gaps and ensure comprehensive patient care across all healthcare levels.

Evaluating Resmetirom Eligibility Among Patients with MASH: Insights from the German Steatotic Liver Disease-Registry

The THR-β agonist resmetirom is the first treatment approved for metabolic dysfunction-associated steatohepatitis (MASH) in the US so far. It can be prescribed given MASH and F2/F3-fibrosis ("at-risk MASH").We analyzed how many patients qualify for resmetirom in a recently recruited Steatotic Liver Disease-cohort involving both tertiary and secondary care centers, the German SLD-Registry.Indication for resmetirom was assessed by three different approaches: (i) biopsy-proven MASH with F2/3 fibrosis and NAS-score ≥ 4; (ii) FibroScan-AST (FAST) score ≥ 0.67 and vibration controlled transient elastography (VCTE) < 15 kPa; (iii) US expert recommendations with VCTE 10-15 kPa and platelets ≥ 140×109/L or VCTE 8-15 kPa.1113 patients were recruited across 8 tertiary and 12 secondary care centers. NAS grading and staging were available for 180 cases (16%) with 179/180 conducted at tertiary care level. Of these, 61 (34%) qualified for resmetirom. FAST score without histologic assessment was available for 638 cases (57.3%), of which 612 (87%) were from tertiary and 26 (11%) from secondary care centers. Based on approach (ii), 41 (6%) of these individuals qualified for resmetirom compared to 117 (18.3%) using approach (iii). Combining approach (iii) with FAST ≥ 0.67 leads to 191 (30.0%) eligible patients. Using VCTE 8-15 kPa results in 182 (28.5%) eligible patients.Eligibility for resmetirom treatment depends on the available method used to identify "at-risk MASH". Availability of VCTE was highest among different levels of care.

The role of mean platelet volume in metabolic dysfunction associated steatotic liver disease

BACKGROUND

Mean platelet volume (MPV) has been reported significantly higher in patients with metabolic dysfunction associated steatotic liver disease (MASLD), suggesting a thrombogenic effect with an inconclusive link to excess risk for cardiovascular disease (CVD). The aim of this cross-sectional study was to elucidate the role of MPV in MASLD and review the literature.

METHODS

A cohort of consecutive biopsy-proven MASLD patients was retrospectively investigated for possible associations of MPV with histological features of the disease and, separately, with patients' estimated risk for CVD. CVD Risk was assessed with three different scores: QRISK2, HellenicSCORE II and NAFLD CV Risk. Laboratory investigation included calculation of insulin resistance with the Homeostasis Model Assessment (HOMA) and measurement of serum adiponectin in a subgroup of patients.

RESULTS

In a total of 139 MASLD patients, 56 (40.3%) with advanced fibrosis (F3/F4) steatohepatitis were included. MPV exceeded the upper limit of normal (=10 fl) in a significant proportion of study participants (n = 28.1%), with an overall mean of 9.4 ± .9 fl. Statistically significant associations of MPV with platelet count (Pearson correlation, p < .001), with fibrosis stage (one-way ANOVA, p = .040), with adiponectin (Spearman's correlation, p = .033), and all three different CVD Risk scores were found. Finally, a strong negative correlation was detected between serum adiponectin and CVD Risk scores.

CONCLUSIONS

In this study's cohort of MASLD patients, high MPV was associated with higher fibrosis stages and with increased estimated risk for CVD. Correlations of serum adiponectin to MPV and CVD risk scores support its implication as a cytokine-mediator that has to be further studied.

A metabolome-derived score predicts metabolic dysfunction-associated steatohepatitis and mortality from liver disease

BACKGROUND & AIMS

Metabolic dysfunction-associated steatohepatitis (MASH) is associated with a >10-fold increase in liver-related mortality. However, biomarkers predicting both MASH and mortality in patients with metabolic dysfunction-associated steatotic liver disease (MASLD) are missing. We developed a metabolome-derived prediction score for MASH and examined whether it predicts mortality in Chinese and European cohorts.

METHODS

The MASH prediction score was developed using a multi-step machine learning strategy, based on 44 clinical parameters and 250 serum metabolites measured by proton nuclear magnetic resonance in 311 Chinese adults undergoing a liver biopsy. External validation was conducted in a Finnish liver biopsy cohort (n = 305). We investigated associations of the score with all-cause and cause-specific mortality in the population-based Shanghai Changfeng study (n = 5,893) and the UK biobank (n = 111,673).

RESULTS

A total of 24 clinical parameters and 194 serum metabolites were significantly associated with MASH in the Chinese liver biopsy cohort. The final MASH score included BMI, aspartate aminotransferase, tyrosine, and the phospholipid-to-total lipid ratio in VLDL. The score identified patients with MASH with AUROCs of 0.87 (95% CI 0.83-0.91) and 0.81 (95% CI 0.75-0.88) in the Chinese and Finnish cohorts, with high negative predictive values. Participants with a high or intermediate risk of MASH based on the score had a markedly higher risk of MASLD-related mortality than those with a low risk in Chinese (hazard ratio 23.19; 95% CI 4.80-111.97) and European (hazard ratio 20.15; 95% CI 10.95-37.11) individuals after 7.2 and 12.6 years of follow-up, respectively. The MASH prediction score was superior to the Fibrosis-4 index and the NAFLD fibrosis score in predicting MASLD-related mortality.

CONCLUSION

The metabolome-derived MASH prediction score accurately predicts risk of MASH and MASLD-related mortality in both Chinese and European individuals.

IMPACT AND IMPLICATIONS

Metabolic dysfunction-associated steatohepatitis (MASH) is associated with more than a 10-fold increase in liver-related death. However, biomarkers predicting not only MASH, but also death due to liver disease, are missing. We established a MASH prediction score based on 44 clinical parameters and 250 serum metabolites using a machine learning strategy. This metabolome-derived MASH prediction score could accurately identify patients with MASH among both Chinese and Finnish individuals, and it was superior to the Fibrosis-4 index and the NAFLD fibrosis score in predicting MASLD-related death in the general population. Thus, the new MASH prediction score is a useful tool for identifying individuals with a markedly increased risk of serious liver-related outcomes among at-risk and general populations.

A Comparative Study of N-Acetyl Cysteine, Rosuvastatin, and Vitamin E in the Management of Patients with Non-Alcoholic Steatohepatitis: A Randomized Controlled Trial

Background: Non-alcoholic steatohepatitis (NASH) is characterized by increased production of proinflammatory cytokines, fibrosis, and hepatocyte apoptosis. This study aimed to assess the efficacy of N-acetyl cysteine (NAC), rosuvastatin (RSV), and vitamin E (VE) in patients with NASH. Methods: A double-blinded, parallel, randomized, controlled study was conducted and registered on clinicaltrials.gov (Identifier: NCT06105060), involving 135 NASH participants, who were divided into three groups: the control group (group 1), consisting of patients receiving standard therapy VE at a dosage of 400 IU twice daily. In the treated group (group 2), patients were administered NAC at a dosage of 1200 mg twice daily, while treatment (group 3) received RSV at a dosage of 20 mg once daily. FibroScan® examination of liver tissue and fibrosis scores, along with tests for liver aminotransferases, lipid profile, glycemic parameters, and renal and hepatic functions, were assessed before and after six months of treatment. Results: The analyzed groups demonstrated a significant reduction in steatosis and lipid peroxidation (p < 0.05). The NAC group demonstrated greater anti-inflammatory and anti-apoptotic effects compared to the RSV group, although this difference was not significant in the control group. NAC is conceded as the only significant antifibrotic agent in liver stiffness measurement (LSM), biological marker findings, and non-invasive liver fibrosis scores (p < 0.05), in addition to its improvement of several metabolic parameters and health-related quality of life. Conclusions: Patients receiving NAC demonstrated safety and efficacy in enhancing steatosis, fibrosis, and metabolic parameters, representing a novel strategy in the management of NASH.

Machine Learning-Based Non-Invasive Prediction of Metabolic Dysfunction-Associated Steatohepatitis in Obese Patients: A Retrospective Study

Objectives: We aimed to develop and validate machine learning (ML) models that integrate clinical and laboratory data for the non-invasive prediction of metabolic dysfunction-associated steatohepatitis (MASH) in an obese population. Methods: In this retrospective study, clinical and laboratory data were collected from obese patients undergoing bariatric surgery. The cohort was divided using stratified random sampling, and optimal features were selected with SHapley Additive exPlanations (SHAP). Various ML models, including K-nearest neighbors, linear support vector machine, radial basis function support vector machine, Gaussian process, random forest, multilayer perceptron, adaptive boosting, and naïve Bayes, were developed through cross-validation and hyperparameter tuning. Diagnostic performance was assessed via the area under the curve (AUC) in both training and validation sets. Results: A total of 558 patients were analyzed, with 390 in the training set and 168 in the validation set. In the training cohort, the median age was 35 years, the median body mass index (BMI) was 39.8 kg/m2, 39.0% were male, 37.9% had diabetes mellitus, and 62.8% were diagnosed with MASH. The validation cohort had a median age of 34.1 years, a median BMI of 42.5 kg/m2, 41.7% male, 32.7% with diabetes, and 39.9% with MASH. Among the models, the random forest achieved the highest performance among the models with AUC values of 0.94 in the training set and 0.88 in the validation set. The Gaussian process model attained an AUC of 0.97 in the training cohort but 0.79 in the validation cohort, while the other models achieved AUC values ranging from 0.63 to 0.88 in the training cohort and 0.62 to 0.75 in the validation set. Conclusions: ML models, particularly the random forest, effectively predict MASH using readily available data, offering a promising non-invasive alternative to conventional serological scoring. Prospective studies and external validations are needed to further establish clinical utility.

Identification of a Risk-Prediction Model for Hypertension Patients Concomitant with Nonalcoholic Fatty Liver Disease

Objective: Our study aims to develop a personalized nomogram model for predicting the risk of nonalcoholic fatty liver disease (NAFLD) in hypertension (HTN) patients and further validate its effectiveness. Methods: A total of 1250 hypertensive (HTN) patients from Guangxi, China, were divided into a training group (875 patients, 70%) and a validation set (375 patients, 30%). LASSO regression, in combination with univariate and multivariate logistic regression analyses, was used to identify predictive factors associated with nonalcoholic fatty liver disease (NAFLD) in HTN patients within the training set. Subsequently, the performance of an NAFLD nomogram prediction model was evaluated in the separate validation group, including assessments of differentiation ability, calibration performance, and clinical applicability. This was carried out using receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA). Results: The risk-prediction model for the HTN patients concomitant with NAFLD included oral antidiabetic drugs (OADs) (OR = 2.553, 95% CI: 1.368-4.763), antihypertensives (AHs) (OR = 7.303, 95% CI: 4.168-12.794), body mass index (BMI) (OR = 1.145, 95% CI: 1.084-1.209), blood urea nitrogen (BUN) (OR = 0.924, 95% CI: 0.860-0.992), triglycerides (TGs) (OR = 1.474, 95% CI: 1.201-1.809), aspartate aminotransferase (AST) (OR = 1.061, 95% CI: 1.018-1.105), and AST/ALT ratio (AAR) (OR = 0.249, 95% CI: 0.121-0.514) as significant predictors. The AUC of the NAFLD risk-prediction model in the training set and the validation set were 0.816 (95% CI: 0.785-0.847) and 0.794 (95% CI: 0.746-0.842), respectively. The Hosmer-Lemeshow test showed that the model has a good goodness-of-fit (p-values were 0.612 and 0.221). DCA suggested the net benefit of using a nomogram to predict the risk of HTN patients concomitant with NAFLD is higher. These results suggested that the model showed moderate predictive ability and good calibration. Conclusions: BMI, OADs, AHs, BUN, TGs, AST, and AAR were independent influencing factors of HTN combined with NAFLD, and the risk prediction model constructed based on this could help to identify the high-risk group of HTN combined with NAFLD at an early stage and guide the development of interventions. Larger cohorts with multiethnic populations are essential to verify our findings.

Ultrasound detection of nonalcoholic steatohepatitis using convolutional neural networks with dual-branch global-local feature fusion architecture

Nonalcoholic steatohepatitis (NASH) is a contributing factor to liver cancer, with ultrasound B-mode imaging as the first-line diagnostic tool. This study applied deep learning to ultrasound B-scan images for NASH detection and introduced an ultrasound-specific data augmentation (USDA) technique with a dual-branch global-local feature fusion architecture (DG-LFFA) to improve model performance and adaptability across imaging conditions. A total of 137 participants were included. Ultrasound images underwent data augmentation (rotation and USDA) for training and testing convolutional neural networks-AlexNet, Inception V3, VGG16, VGG19, ResNet50, and DenseNet201. Gradient-weighted class activation mapping (Grad-CAM) analyzed model attention patterns, guiding the selection of the optimal backbone for DG-LFFA implementation. The models achieved testing accuracies of 0.81-0.83 with rotation-based data augmentation. Grad-CAM analysis showed that ResNet50 and DenseNet201 exhibited stronger liver attention. When USDA simulated datasets from different imaging conditions, DG-LFFA (based on ResNet50 and DenseNet201) improved accuracy (0.79 to 0.84 and 0.78 to 0.83), recall (0.72 to 0.81 and 0.70 to 0.78), and F1 score (0.80 to 0.84 for both models). In conclusion, deep architectures (ResNet50 and DenseNet201) enable focused analysis of liver regions for NASH detection. Under USDA-simulated imaging variations, the proposed DG-LFFA framework further improves diagnostic performance.

Gene-based therapies for steatotic liver disease

Advances in nucleic acid delivery have positioned the liver as a key target for gene therapy, with adeno-associated virus vectors showing long-term effectiveness in treating hemophilia. Steatotic liver disease (SLD), the most common liver condition globally, primarily results from metabolic dysfunction-associated and alcohol-associated liver diseases. In some individuals, SLD progresses from simple steatosis to steatohepatitis, cirrhosis, and eventually hepatocellular carcinoma, driven by a complex interplay of genetic, metabolic, and environmental factors. Genetic variations in various lipid metabolism-related genes, such as patatin-like phospholipase domain-containing protein 3 (PNPLA3), 17β-hydroxysteroid dehydrogenase type 13 (HSD17B13), and mitochondrial amidoxime-reducing component 1 (MTARC1), impact the progression of SLD and offer promising therapeutic targets. This review largely focuses on genes identified through clinical association studies, as they are more likely to be effective and safe for therapeutic intervention. While preclinical research continues to deepen our understanding of genetic factors, early-stage clinical trials involving gene-based SLD therapies, including transient antisense and small-molecule approaches, are helping prioritize therapeutic targets. Meanwhile, hepatocyte gene editing technologies are advancing rapidly, offering alternatives to transient methods. As such, gene-based therapies show significant potential for preventing the progression of SLD and enhancing long-term liver health.

Metabolic Syndrome and Liver Disease: Re-Appraisal of Screening, Diagnosis, and Treatment Through the Paradigm Shift from NAFLD to MASLD

Metabolic dysfunction-associated steatotic liver disease (MASLD), previously known as non-alcoholic fatty liver disease (NAFLD), encompasses a spectrum of liver diseases characterized by hepatic steatosis, the presence of at least one cardiometabolic risk factor, and no other apparent cause. Metabolic syndrome (MetS) is a cluster of clinical conditions associated with increased risk of cardiovascular disease, type 2 diabetes, and overall morbidity and mortality. This narrative review summarizes the changes in the management of people with MetS and NAFLD/MASLD from screening to therapeutic strategies that have occurred in the last decades. Specifically, we underline the clinical importance of considering the different impacts of simple steatosis and advanced fibrosis and provide an up-to-date overview on non-invasive diagnostic tests (i.e., imaging and serum biomarkers), which now offer acceptable accuracy and are globally more accessible. Early detection of MetS and MASLD is a top priority as it allows for timely interventions, primarily through lifestyle modification. The liver and cardiovascular benefits of a global and multidimensional approach are not negligible. Therefore, a holistic approach to both conditions, MetS and related chronic liver disease, should be applied to improve overall health and longevity.

Effectiveness of a Model of Care Based on Fibrosis-4 and Liver Stiffness Measurement for the Screening of Patients With Type 2 Diabetes Mellitus at Risk of Advanced Liver Disease: Results From an Italian Prospective Multicenter Study

INTRODUCTION

Patients with type 2 diabetes mellitus (T2DM) are at increased risk of metabolic dysfunction-associated steatotic liver disease, advanced liver fibrosis, and metabolic dysfunction-associated steatohepatitis (MASH). We evaluated the prevalence and severity of metabolic dysfunction-associated steatotic liver disease among patients with T2DM at their first referral to diabetes clinics and assessed the effectiveness of the 2-tier screening approach by Fibrosis-4 (FIB-4) and vibration-controlled transient elastography (VCTE).

METHODS

Consecutive patients with T2DM from 6 different diabetes clinics were prospectively enrolled. Liver stiffness measurement (LSM) was assessed by VCTE, whereas liver steatosis by controlled attenuation parameter (Fibroscan, Echosens, France). "At-risk MASH" was assessed by FibroScan-aspartate aminotransferase score.

RESULTS

Eight hundred patients (median age: 59, 53-65 years; males: 485, 60.6%) met the inclusion criteria. Prevalence of liver steatosis (controlled attenuation parameter ≥ 248 db/m) was 73.6%. The proportion of patients at medium/high risk of advanced liver fibrosis (LSM ≥ 8.0 kPa) was 16.9%. Patients with "at-risk MASH" (FibroScan-aspartate aminotransferase > 0.67) were 12.0%. A 2-tier screening for advanced liver fibrosis by FIB-4 and VCTE would have led to 70 patients (8.8%) referred to liver clinics with a false-negative rate of 9.6% (n = 77; patients with FIB-4 < 1.3 and LSM ≥ 8.0 kPa). At multivariate analysis, overweight/obesity (odds ratio = 3.13, 95% confidence interval 1.23-7.97) and elevated alanine aminotransferase (odds ratio = 1.91, 95% confidence interval 1.17-3.10) were independently associated with LSM ≥ 8.0 kPa in patients with FIB-4 < 1.3.

DISCUSSION

In diabetes clinics, the 2-tier screening using FIB-4 and VCTE is effective for the identification of patients with T2DM to be referred to hepatologists. VCTE referral may be considered for patients with overweight/obesity and elevated alanine aminotransferase classified as at low risk of advanced liver fibrosis by FIB-4.

Predictive value of triglyceride glucose index in non-obese non-alcoholic fatty liver disease

OBJECTIVES

A large number of patients with non-obese non-alcoholic fatty liver disease (NAFLD) in China remain undiagnosed and untreated due to insufficient awareness and ineffective pharmacotherapy. Therefore, a convenient, predictive marker and diagnostic tools are imperative. This study aimed to investigate the ability of the triglyceride glucose index (TyG) in predicting non-obese NAFLD.

DESIGN

An observational cross-sectional study.

SETTING

Department of Health Management, large urban academic medical centre and DRYAD database data.

PARTICIPANTS

This study included 456 patients with non-obese NAFLD and matched 456 non-fatty liver controls according to age, sex and body mass index (BMI).

PRIMARY AND SECONDARY OUTCOME MEASURES

The receiver operating characteristic (ROC) curve was used to evaluate the predictive role of the TyG index in non-obese NAFLD. Based on the TyG index, a clinical prediction model for non-obese NAFLD was constructed, then the prediction model was verified by the DRYAD database (n=11 562).

RESULTS

TyG in non-obese NAFLD was higher than that in controls (9.00 (8.66-9.40) vs 8.46 (8.10-8.83), p<0.001). Logistic regression analysis showed that TyG was an independent risk factor for non-obese NAFLD (OR=9.03, 95% CI: 5.46 to 14.94, p<0.001). ROC analysis showed that the area under the curve (AUC) was 0.78, the sensitivity was 82.5%, the specificity was 60.5%. Based on the TyG index, sex, age and BMI, the AUC of the predictive model for non-obese NAFLD was 0.78 (95% CI: 0.75 to 0.81, p<0.001). Using the DRYAD database to verify the prediction model, the AUC of the verification group was 0.85 (95% CI: 0.84 to 0.86, p<0.001).

CONCLUSIONS

The high level of the TyG may be an independent risk factor for non-obese NAFLD. The prediction model for non-obese NAFLD based on the TyG index has good clinical prediction value.

Perioperative Changes in Serum Transaminases Levels Predicts Long-Term Survival Following Liver Resection of Hepatocellular Carcinoma

BACKGROUND

We sought to define whether and how hepatic ischemia/reperfusion (I/R) as manifested by perioperative aspartate aminotransferase (AST) and alanine aminotransaminase (ALT) levels impact long-term outcomes after curative-intent resection of hepatocellular carcinoma (HCC).

PATIENTS AND METHODS

Intrasplenic injection of HCC cells was used to establish a murine model of HCC recurrence with versus without I/R injury. Patients who underwent curative resection for HCC were identified from a multi-institutional derivative cohort (DC) and separate external validation (VC) cohort. Perioperative changes of transaminase levels were examined relative to the recurrence-free (RFS) and overall survival (OS) among patients following HCC resection.

RESULTS

Mice exposed to hepatic I/R injury were more likely to experience tumor recurrence, as well as higher luminescence signal intensity (all p < 0.05) versus mice with no I/R injury. Relative changes between AST and ALT (sum of AST/ALT ratios, SAAR) on postoperative day (POD) 1 and POD 3AST 1 ALT 1 and AST 3 ALT 3 were calculated using the formula: SAAR = 1 2 AST 1 ALT 1 + AST 3 ALT 3 via Fourier transform theory. Among 734 patients in DC, the median SAAR was 2.1. After adjusting for other competing risk factors, SAAR ≥ 2.0 remained strongly associated with risk of postoperative recurrence (ref. SAAR < 2.0, HR 1.32, p = 0.03), whereas SAAR ≥ 3.5 was associated with risk of postoperative mortality (ref. SAAR < 3.5, HR 1.86, p < 0.01). SAAR demonstrated good accuracy to predict postoperative recurrence (c-index 0.724, 0.731) and mortality (c-index 0.655, 0.765) in DC and VC, respectively.

CONCLUSIONS

Use of routine labs such as AST and ALT can help identify patients at high risk of recurrence and mortality following HCC resection.

acFibroMASH Index for the Diagnosis of Fibrotic MASH and Prediction of Liver-related Events: An International Multicenter Study

BACKGROUND & AIMS

Metabolic dysfunction-associated steatohepatitis (MASH) and fibrotic MASH are significant health challenges. This multi-national study aimed to validate the acMASH index (including serum creatinine and aspartate aminotransferase concentrations) for MASH diagnosis and develop a new index (acFibroMASH) for non-invasively identifying fibrotic MASH and exploring its predictive value for liver-related events (LREs).

METHODS

We analyzed data from 3004 individuals with biopsy-proven metabolic dysfunction-associated steatotic liver disease (MASLD) across 29 Chinese and 9 international cohorts to validate the acMASH index and develop the acFibroMASH index. Additionally, we utilized the independent external data from a multi-national cohort of 9034 patients with MASLD to examine associations between the acFibroMASH index and the risk of LREs.

RESULTS

In the pooled global cohort, the acMASH index identified MASH with an area under the receiver operating characteristic curve (AUROC) of 0.802 (95% confidence interval [CI], 0.786-0.818). The acFibroMASH index (including the acMASH index plus liver stiffness measurement) accurately identified fibrotic MASH with an AUROC of 0.808 in the derivation cohort and 0.800 in the validation cohort. Notably, the AUROC for the acFibroMASH index was 0.835 (95% CI, 0.786-0.882), superior to that of the FAST score at 0.750 (95% CI, 0.693-0.800; P < .01) in predicting the 5-year risk of LREs. Patients with acFibroMASH >0.39 had a higher risk of LREs than those with acFibroMASH <0.15 (adjusted hazard ratio, 11.23; 95% CI, 3.98-31.66).

CONCLUSIONS

This multi-ethnic study validates the acMASH index as a reliable, noninvasive test for identifying MASH. The newly proposed acFibroMASH index is a reliable test for identifying fibrotic MASH and predicting the risk of LREs.

FibroScan-AST Score vs Liver Stiffness for the Prediction of Liver Events After HCV Cure

Background

Liver stiffness (LS) predicts liver complication occurrence in patients with hepatitis C virus (HCV) infection after sustained virological response (SVR). The FibroScan-AST (FAST) score, which includes aspartate aminotransferase (AST) and controlled attenuation parameter (CAP; measured by FibroScan), may improve the prediction ability of isolated LS. Our aim was to compare the predictive capacity of LS vs FAST in this setting.

Methods

Multicenter cohort study including individuals with HIV/HCV coinfection or HCV monoinfection from Spain if they had (1) LS ≥9.5 kPa pretreatment, (2) SVR with a direct-acting antiviral (DAA)-based regimen, and (3) LS and CAP measurement at SVR. Fatty liver disease (FLD) was defined as CAP ≥248 dB/m. The primary outcome was the occurrence of a liver complication (decompensation or hepatocellular carcinoma [HCC]) after SVR.

Results

Three hundred patients were included; 213 (71%) had HIV. At SVR, 131 (44%) had FLD. The FAST score was <0.35 in 182 (61%), 0.35-0.67 in 79 (27%), and >0.67 in 34 (12%) patients. After a median (Q1-Q3) follow-up of 73 (53-83) months, 36 (12%) liver complications (15 [5%] HCC) occurred. LS was independently associated with an increased risk of developing liver complications (sub-hazard ratio [sHR], 1.06; 95% CI, 1.04-1.08; P < .001). In a separate model, FAST ≥0.35 was also independently associated with greater risk of liver complications (sHR, 8.12; 95% CI, 3.11-21.17; P < .001). The area under the receiver operating characteristics curve of the model based on LS was 0.83 (95% CI, 0.76-0.91), and that of the model based on FAST was 0.80 (95% CI, 0.72-0.88; P = .158).

Conclusions

The FAST score predicts the development of liver events after SVR but does not improve the predictive capacity of LS alone at this time point.

Exploring the potential of large language models in identifying metabolic dysfunction-associated steatotic liver disease: A comparative study of non-invasive tests and artificial intelligence-generated responses

BACKGROUND AND AIMS

This study sought to assess the capabilities of large language models (LLMs) in identifying clinically significant metabolic dysfunction-associated steatotic liver disease (MASLD).

METHODS

We included individuals from NHANES 2017-2018. The validity and reliability of MASLD diagnosis by GPT-3.5 and GPT-4 were quantitatively examined and compared with those of the Fatty Liver Index (FLI) and United States FLI (USFLI). A receiver operating characteristic curve was conducted to assess the accuracy of MASLD diagnosis via different scoring systems. Additionally, GPT-4V's potential in clinical diagnosis using ultrasound images from MASLD patients was evaluated to provide assessments of LLM capabilities in both textual and visual data interpretation.

RESULTS

GPT-4 demonstrated comparable performance in MASLD diagnosis to FLI and USFLI with the AUROC values of .831 (95% CI .796-.867), .817 (95% CI .797-.837) and .827 (95% CI .807-.848), respectively. GPT-4 exhibited a trend of enhanced accuracy, clinical relevance and efficiency compared to GPT-3.5 based on clinician evaluation. Additionally, Pearson's r values between GPT-4 and FLI, as well as USFLI, were .718 and .695, respectively, indicating robust and moderate correlations. Moreover, GPT-4V showed potential in understanding characteristics from hepatic ultrasound imaging but exhibited limited interpretive accuracy in diagnosing MASLD compared to skilled radiologists.

CONCLUSIONS

GPT-4 achieved performance comparable to traditional risk scores in diagnosing MASLD and exhibited improved convenience, versatility and the capacity to offer user-friendly outputs. The integration of GPT-4V highlights the capacities of LLMs in handling both textual and visual medical data, reinforcing their expansive utility in healthcare practice.

Design and rationale for a global novel non-invasive screening observational study using genetics and non-invasive methodologies to identify at-risk MASLD participants: The ALIGN study

Metabolic dysfunction-associated steatotic liver disease (MASLD) is a common chronic liver disease that is heterogenous in nature with various drivers and modifiers such as metabolic dysfunction and genetic factors. MASLD and the progressive subtype, metabolic dysfunction-associated steatohepatitis (MASH) represent the most rapidly increasing cause of liver-related mortality. There are limited treatment options for patients living with MASLD and MASH, various treatments with an array of different targets are under investigation and one therapeutic has been approved since the initiation of this study. Clinical trials investigating treatments for MASLD and MASH are associated with a high screen failure rate, driven largely by the regulatory required histological inclusion criteria for clinical trial eligibility. Other available clinically utilized biomarkers, typically referred to as non-invasive tests (NITs), can assess both the presence of steatosis and the severity of liver fibrosis in patients with MASLD and MASH in the clinic but are not yet approved over histological changes as endpoints for pivotal trials. However, the use of NITs have been demonstrated to increase the likelihood of meeting clinical trial entry criteria. All-Liver Interventional Global Network (ALIGN) is the first described multi-centre global observational screening study aimed at identifying individuals with a high likelihood of MASLD/MASH interested in participating in therapeutic clinical trials using non-invasive methodologies and genetic testing. This study represents a valuable prototype for industry and academic groups looking to evaluate large populations for MASH eligibility and interest in clinical trial participation.

Non-invasive tests for fibrotic MASH for reducing screen failure in therapeutic trials

BACKGROUND & AIMS

Therapeutic trials in metabolic dysfunction-associated steatohepatitis (MASH) are hampered by a high 70-80% screen failure rate mostly because of the absence of fibrotic MASH on baseline liver biopsies, underscoring the need for better selection of candidates. We compared the performance of eight non-invasive tests, designed or not for the diagnosis of fibrotic MASH.

METHODS

A total of 1,005 patients with histologically proven MASLD were included in five tertiary care centers. Three non-invasive tests developed for fibrotic MASH were evaluated: the simple blood test Fibrotic NASH Index (FNI), the specialized blood test MACK-3, and the elastography-based test FAST. Five non-invasive tests recommended for advanced fibrosis were evaluated as well: the simple blood test FIB-4, the specialized blood tests FibroTest and Enhanced Liver Fibrosis test (ELF™), and the elastography-based tests FibroScan and Agile3+. Fibrotic MASH was defined as MASH with MASLD activity score ≥4 and fibrosis score F ≥2.

RESULTS

Among simple blood tests (n = 1,005), FNI had a significantly higher area under the receiver operating characteristic (AUROC) for fibrotic MASH than FIB-4 (0.709 [0.677-0.741] vs. 0.662 [0.628-0.695], p = 0.019). Among elastography-based tests (n = 817), FAST had a significantly higher AUROC (0.774 [0.743-0.806]) than FibroScan (0.728 [0.694-0.763], p = 0.013) and Agile3+ (0.708 [0.672-0.744], p = 0.004). Among specialized blood tests (n = 545), MACK-3 had a significantly higher AUROC (0.772 [0.734-0.811]) than FibroTest (0.615 [0.568-0.663], p <0.001) and ELF (0.700 [0.656-0.744], p = 0.028). Sequential combination (FAST then Agile3+; MACK-3 then ELF) identified a subset including one-third of patients in whom the false-positive rate was only 30%.

CONCLUSIONS

Sequential combinations using first-line tests designed for fibrotic MASH improves the identification of candidates for MASH therapeutic trials.

IMPACT AND IMPLICATIONS

Drug development in metabolic dysfunction-associated steatohepatitis (MASH) is hampered by a high screen failure rate, one of the main reasons being the absence of MASH and significant fibrosis (fibrotic MASH) on the baseline liver biopsy, a key inclusion criterion in MASH therapeutic trials. Non-invasive tests represent an attractive opportunity to better select candidates for these trials, but most of them have been developed for advanced fibrosis and the new tests designed for the diagnosis of fibrotic MASH remain poorly validated. In this work, we demonstrate that the tests specifically designed for fibrotic MASH are more accurate for this diagnostic target than the tests currently recommended and initially developed for advanced fibrosis. We propose sequential combinations that will facilitate the identification of patients with fibrotic MASH in need of treatment, and their inclusion in MASH therapeutic trials.

MASLD, At-Risk MASH and Increased Liver Stiffness Are Associated With Young Adulthood Obesity Without Residual Risk After Losing Obesity

BACKGROUND

Obesity can result in persistent metabolic changes despite weight loss, which may affect liver health. We aimed to investigate associations between young adulthood obesity and metabolic dysfunction-associated steatotic liver disease (MASLD), at-risk steatohepatitis and increased liver stiffness measurement (LSM) in a general population setting.

METHODS

We studied NHANES 2017-2020 community-dwelling participants aged > 40 years with BMI ≥ 18.5 and no heart failure. Weight at age 25 was obtained through questionnaires and compared to current weight. Assessment included controlled attenuation parameter (CAP) and LSM. Associations between obesity status change with MASLD or at-risk metabolic dysfunction-associated steatohepatitis (MASH) and increased LSM were investigated and adjusted for demographics and metabolic health.

RESULTS

The cohort comprised 4,580 participants (57% stable non-obesity, 33% gained obesity, 2% lost obesity and 8% stable obesity). Compared to stable no-obesity, stable obesity was strongly associated with MASLD (odds ratio [OR]: 5.47, 95% confidence interval [95%CI]: 3.97-7.66) as was gained obesity (OR: 4.68, 95% CI: 3.93-5.59), whereas no increased risk was demonstrated for lost obesity (OR: 1.26, 95% CI: 0.76-2.10). Similar associations for stable obesity and gained obesity with at-risk MASH and LSM ≥ 8 kPa were demonstrated. No residual risk was found for lost obesity (MASH-OR: 1.05 95% CI: 0.36-2.49; LSM ≥ 8 kPa-OR: 0.85, 95% CI: 0.29-1.97). Results were consistent in sensitivity analysis where obesity change was calculated over the past 10 years and weight change was stratified in normal weight/overweight/obesity.

CONCLUSION

Young adulthood obesity is an important risk factor for MASLD, at-risk MASH and increased LSM among the general population aged 40-80 years. Losing obesity resulted in normalisation of odds for MASLD, at-risk MASH and increased LSM. These findings underline the importance of preventing and treating young adulthood obesity to maintain liver health.

Molecular Landscape and Diagnostic Model of MASH: Transcriptomic, Proteomic, Metabolomic, and Lipidomic Perspectives

Metabolic dysfunction-associated steatohepatitis (MASH), a progressive form of fatty liver disease, presents a significant global health challenge. Despite extensive research, fully elucidating its complex pathogenesis and developing accurate non-invasive diagnostic tools remain key goals. Multi-omics approaches, integrating data from transcriptomics, proteomics, metabolomics, and lipidomics, offer a powerful strategy to achieve these aims. This review summarizes key findings from multi-omics studies in MASH, highlighting their contributions to our understanding of disease mechanisms and the development of improved diagnostic models. Transcriptomic studies have revealed widespread gene dysregulation affecting lipid metabolism, inflammation, and fibrosis, while proteomics has identified altered protein expression patterns and potential biomarkers. Metabolomic and lipidomic analyses have further uncovered significant changes in various metabolites and lipid species, including ceramides, sphingomyelins, phospholipids, and bile acids, underscoring the central role of lipid dysregulation in MASH. These multi-omics findings have been leveraged to develop novel diagnostic models, some incorporating machine learning algorithms, with improved accuracy compared to traditional methods. Further research is needed to validate these findings, explore the complex interplay between different omics layers, and translate these discoveries into clinically useful tools for improved MASH diagnosis and prognosis.

New insights on mesenchymal stem cells therapy from the perspective of the pathogenesis of nonalcoholic fatty liver disease

Nonalcoholic fatty liver disease (NAFLD) manifests as chronic hepatic steatosis, occurring variably across people due to racial and genetic diversity. It represents a stage in the development of chronic liver disease, marked by fat accumulation, inflammatory responses, oxidative stress in the endoplasmic reticulum, and fibrosis as primary concerns. Understanding its underlying mechanisms remains a challenging and pivotal area of study. In the past, acute liver injury-related diseases were commonly treated with methods such as liver transplantation. However, the emergence of artificial liver has shifted focus to stem cell therapies. Unlike conventional drugs, stem cell therapies are continuously evolving. Despite being classified as drugs, stem cells demonstrated significant efficacy after multiple injections. Mesenchymal stem cells, unlike other types of stem cells, do not have the risk of tumor formation and low immunogenicity, reducing the hypersensitivity reactions associated with liver transplantation. Increasingly, studies suggest that mesenchymal stem cells hold promise in the treatment of chronic liver injury diseases. This review focuses on investigating the role of mesenchymal stem cells in chronic metabolic liver diseases, such as non-alcoholic fatty liver disease, and delves into their specific functions.

ALADDIN: A Machine Learning Approach to Enhance the Prediction of Significant Fibrosis or Higher in Metabolic Dysfunction-Associated Steatotic Liver Disease

INTRODUCTION

The recent US Food and Drug Administration approval of resmetirom for treating metabolic dysfunction-associated steatohepatitis in patients necessitates patient selection for significant fibrosis or higher (≥F2). No existing vibration-controlled transient elastography (VCTE) algorithm targets ≥F2.

METHODS

The mAchine Learning ADvanceD fibrosis and rIsk metabolic dysfunction-associated steatohepatitis Novel predictor (ALADDIN) study addressed this gap by introducing a machine-learning-based web calculator that estimates the likelihood of significant fibrosis using routine laboratory parameters with and without VCTE. Our study included a training set of 827 patients, a testing set of 504 patients with biopsy-confirmed metabolic dysfunction-associated steatotic liver disease from 6 centers, and an external validation set of 1,299 patients from 9 centers. Five algorithms were compared using area under the curve (AUC) in the test set: ElasticNet, random forest, gradient boosting machines, XGBoost, and neural networks. The top 3 (random forest, gradient boosting machines, and XGBoost) formed an ensemble model.

RESULTS

In the external validation set, the ALADDIN-F2-VCTE model, using routine laboratory parameters with VCTE (AUC 0.791, 95% confidence interval [CI]: 0.764-0.819), outperformed VCTE alone (0.745, 95% CI 0.717-0.772, P < 0.0001), FibroScan-aspartate aminotransferase (0.710, 0.679-0.748, P < 0.0001), and Agile-3 model (0.740, 0.710-0.770, P < 0.0001) regarding the AUC, decision curve analysis, and calibration. The ALADDIN-F2-Lab model, using routine laboratory parameters without VCTE, achieved an AUC of 0.706 (95% CI: 0.668-0.749) and outperformed Fibrosis-4, steatosis-associated fibrosis estimator, and LiverRisk scores.

DISCUSSION

Along with the steatosis-associated fibrosis estimator model developed to target significant fibrosis or higher, ALADDIN-F2-VCTE ( https://aihepatology.shinyapps.io/ALADDIN1 ) uniquely supports a refined noninvasive approach to patient selection for resmetirom without the need for liver biopsy. In addition, ALADDIN-F2-Lab ( https://aihepatology.shinyapps.io/ALADDIN2 ) offers an effective alternative when VCTE is unavailable.

Body mass index and diabetes predict severity of liver fibrosis across the spectrum of steatotic liver disease

INTRODUCTION AND OBJECTIVES

Recent evidence indicates that metabolic dysfunction and alcohol-associated steatotic liver disease (MetALD), a newly defined subgroup of steatotic liver disease (SLD), may have a worse prognosis than metabolic dysfunction-associated steatotic liver disease (MASLD). This study examines the clinical factors influencing the severity of MetALD to inform and improve future management strategies.

PATIENTS AND METHODS

Data from the 2017-2020 National Health and Nutrition Examination Surveys (NHANES), involving 7745 adults with valid elastography measurements, were utilized to define and estimate the prevalence of MASLD, MetALD, and alcohol liver disease (ALD). Controlled attenuation parameter (CAP) ≥285 dB/m, liver stiffness measurement (LSM) ≥8 kPa, and ≥12 kPa indicated the presence of hepatic steatosis, clinically significant fibrosis, and advanced fibrosis, respectively.

RESULTS

The prevalence of MetALD was 4 % (N=287), compared to 24 % (N=2049) for MASLD and 7 % (N=486) for ALD. The prevalence of significant fibrosis and advanced fibrosis in MetALD was 10.8 % and 3.1 %, respectively, compared to 24.7 % and 9.8 % in MASLD, and 15 % and 8 % in ALD. Logistic regression analysis among MetALD patients showed that higher body mass index (BMI) (odds ratio [OR]: 1.15, 95 % CI: 1.08-1.23, P<0.01) and diabetes mellitus (DM) (OR: 3.0, 95 % CI: 1.06-6.2, P<0.01) were associated with an increased risk of fibrosis. These factors were also identified as independent risk factors for fibrosis in patients with MASLD and ALD.

CONCLUSIONS

MetALD had the lowest prevalence and fibrosis severity among the three groups of SLD. Elevated BMI and DM were associated with the severity of liver disease, and these findings provide a rationale for the use of obesity- and diabetes-targeted medications in these individuals.

Metabolic-Dysfunction-Associated Steatotic Liver Disease: Molecular Mechanisms, Clinical Implications, and Emerging Therapeutic Strategies

Metabolic-dysfunction-associated steatotic liver disease (MASLD), previously known as non-alcoholic fatty liver disease (NAFLD), is a highly prevalent metabolic disorder characterized by hepatic steatosis in conjunction with at least one cardiometabolic risk factor, such as obesity, type 2 diabetes, hypertension, or dyslipidemia. As global rates of obesity and metabolic syndrome continue to rise, MASLD is becoming a major public health concern, with projections indicating a substantial increase in prevalence over the coming decades. The disease spectrum ranges from simple steatosis to metabolic-dysfunction-associated steatohepatitis (MASH), fibrosis, cirrhosis, and hepatocellular carcinoma, contributing to significant morbidity and mortality worldwide. This review delves into the molecular mechanisms driving MASLD pathogenesis, including dysregulation of lipid metabolism, chronic inflammation, oxidative stress, mitochondrial dysfunction, and gut microbiota alterations. Recent advances in research have highlighted the role of genetic and epigenetic factors in disease progression, as well as novel therapeutic targets such as peroxisome proliferator-activated receptors (PPARs), fibroblast growth factors, and thyroid hormone receptor beta agonists. Given the multifaceted nature of MASLD, a multidisciplinary approach integrating early diagnosis, molecular insights, lifestyle interventions, and personalized therapies is critical. This review underscores the urgent need for continued research into innovative treatment strategies and precision medicine approaches to halt MASLD progression and improve patient outcomes.

Agile 3+ and 4 Scores Accurately Predict Major Adverse Liver Outcomes, Liver Transplant, Progression of MELD Score, the Development of Hepatocellular Carcinoma, and Death in NAFLD

BACKGROUND AND AIMS

Based on liver stiffness measurement by vibration controlled transient elastography (LSM by VCTE), the Agile 3+ and 4 are novel noninvasive scores that accurately identify advanced fibrosis (≥ F3) and cirrhosis (F4), respectively. We investigated and compared the Agile 3+ and 4 scores' performances in predicting adverse events to LSM alone, FIB-4 and Fibroscan-AST (FAST) score.

METHOD

This retrospective analysis included NAFLD patients with LSM by VCTE and laboratory testing from a tertiary care center from 2013 to 2022. Adverse events were defined as major adverse liver outcomes (MALO), hepatocellular carcinoma, liver transplant, and death. MALO was defined as ascites, hepatic encephalopathy, or esophageal variceal bleeding. We used the Cox proportional hazard rate model and the Harrell's concordance (C) statistic to compare predictive performances.

RESULTS

733 total subjects with median follow-up of 27.0 months were included. Average age was 58.1 years and 32.8% had type 2 diabetes. Average alanine aminotransferase was 46.6 IU/L, aspartate aminotransferase: 34.5 IU/L, albumin: 4.4 g/dL, and platelets: 241.1 × 109/L. Fourteen subjects had 21 adverse outcomes, including 10 MALO, 5 HCC, 4 liver transplants, 3 progression of MELD score, and 6 deaths. Agile 3+ and 4 respectively had the highest C stats of 0.911 (C stat SE 0.028) and 0.909 (C stat SE 0.029) compared to LSM (C stat 0.857, C stat SE 0.045), FIB-4 (C stat 0.843, C stat SE 0.037) or FAST (C stat 0.703, C stat SE 0.085).

CONCLUSION

The Agile 3+ and 4 scores had the highest likelihood of accurately predicting adverse outcomes including MALO and death compared to LSM alone, FIB-4 or FAST score.

Validation of the diagnostic accuracy of the acFibroMASH index for at-risk MASH in patients with metabolic dysfunction-associated steatotic liver disease

OBJECTIVE

The objective of this study was to validate the diagnostic accuracy of the acFibroMASH index in a population of metabolic dysfunction-associated steatotic liver disease (MASLD) patients with at-risk metabolic dysfunction-associated steatohepatitis (MASH) and to compare it with other scoring systems.

METHODS

394 patients with biopsy-proven MASLD were retrospectively enrolled. The patients were divided into the at-risk MASH (NAFLD activity score ≥ 4 and significant fibrosis) group (n = 103) and the non-at-risk MASH group (n = 291). The diagnostic performance of the acFibroMASH index was compared to that of fibroScan-aspartate aminotransferase (FAST) and other noninvasive fibrosis scores by plotting the receiver operating characteristic curve (ROC), including the area under the curve (AUC), sensitivity, and specificity. Cut-offs of the acFibroMASH index for sensitivity (≥ 0.90) and specificity (≥ 0.90) were obtained in our cohort.

RESULTS

The AUC of the acFibroMASH index in assessing at-risk MASH was 0.780, while the AUC of FAST was 0.770. The comparison of acFibroMASH with FAST showed no significant difference (P = 0.542). When the cut-off value for acFibroMASH was < 0.15, 95.5% of at-risk MASH patients could be excluded in 89 patients correctly. Conversely, when the cut-off value was set at > 0.39, 49.3% of at-risk MASH patients could be diagnosed in 140 patients correctly. When the NPV was set at 0.900, the critical value for exclusion was determined to be 0.23, with a sensitivity of 0.835 and a specificity of 0.526.

CONCLUSION

This study validated the efficacy of the acFibroMASH index in predicting at-risk MASH in a population of MASLD patients, demonstrating comparable performance to that of the FAST. The acFibroMASH index may provide a valuable clinical basis for screening and identifying at-risk MASH in primary care settings.

Hepatocellular Carcinoma After HCV Eradication with Direct-Acting Antivirals: A Reappraisal Based on New Parameters to Assess the Persistence of Risk

Approximately 95% of patients with chronic hepatitis C achieve viral eradication through direct-acting antiviral (DAA) treatment. Ensuing clinical benefits include halting liver fibrosis, thereby reducing the need for liver transplantation, and decreasing both liver-related and overall mortality. It is well established that, although ameliorated, the risk of developing hepatocellular carcinoma (HCC) persists, particularly among patients with pre-treatment advanced fibrosis/cirrhosis. Current guidelines recommend indefinite HCC surveillance in these patients. However, a recent Markov model evaluation shows that HCC surveillance is cost-effective only for patients with cirrhosis but not so for those with F3 fibrosis, a finding which points out the need to better define the risk of HCC in hepatitis C patients after cure and further characterize pre- and post-treatment factors that might affect the incidence of HCC in this setting. We reviewed the literature analyzing this aspect. Here we summarize the main findings: male gender and older age are independent predictors of increased risk of post-cure HCC development. Moreover, non-invasive tests for hepatic fibrosis, namely FIB4, APRI, and liver stiffness, measured before and after treatment and their post-therapy change, contribute to better stratifying the risk of HCC occurrence. Furthermore, low serum albumin, as well as an AFP above 7 ng/mL prior to and after DAA therapy, also constitute independent predictors of HCC development. Considering these findings, we propose to classify patients with HCV viral eradication and advanced fibrosis/cirrhosis into groups of low, medium, or high risk of HCC and to adopt adequate surveillance strategies for each group, including protocols for abbreviated magnetic resonance imaging (MRI) for those at the highest risk.

Updated recommendations for the management of metabolic dysfunction-associated steatotic liver disease (MASLD) by the Latin American working group

Metabolic dysfunction-associated steatotic liver disease (MASLD) is one of the leading causes of chronic liver disease globally. Based on the 2023 definition, MASLD is characterized by the presence of metabolic dysfunction and limited alcohol consumption (<140 grams/week for women, <210 grams/week for men). Given the significant burden of MASLD in Latin America, this guidance was developed by the Latin American Association for the Study of the Liver (ALEH) Working Group to address key aspects of its clinical assessment and therapeutic strategies. In Latin America, ultrasonography is recommended as the initial screening tool for hepatic steatosis due to its accessibility, while Fibrosis-4 (FIB-4) is preferred for fibrosis risk stratification, with further evaluation using more specific techniques (i.e., vibration-controlled transient elastography or Enhanced Liver Fibrosis [ELF] test). A Mediterranean diet is advised for all MASLD patients, with a target of 7-10% weight loss for those with excess weight. Complete alcohol abstinence is recommended for patients with significant fibrosis, and smoking cessation is encouraged regardless of fibrosis stage. Pharmacological options should be tailored based on the presence of steatohepatitis, liver fibrosis, excess weight, and diabetes, including resmetirom, incretin-based therapies, pioglitazone, and sodium-glucose cotransporter-2 inhibitors. Bariatric surgery may be considered for MASLD patients with obesity unresponsive to lifestyle and medical interventions. Hepatocellular carcinoma screening is advised for all cirrhotic patients, with consideration given to those with advanced fibrosis based on individual risk. Finally, routine cardiovascular risk assessment and proper diabetes prevention and management remain crucial for all patients with MASLD.

Estimated sdLDL-C as a biomarker of hepatic steatosis severity in MASLD: a retrospective study

BACKGROUND

Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most prevalent chronic liver disease worldwide. However, there is a lack of cost-effective and accurate biomarkers to assess the degree of hepatic steatosis. Estimated small dense low-density lipoprotein cholesterol (EsdLDL-C), a calculated value derived from triglyceride (TG) and low-density lipoprotein cholesterol (LDL-C) levels, has emerged as a potential indicator. This study aimed to explore the relationship between EsdLDL-C and the severity of hepatic steatosis.

METHODS

This single-center retrospective study estimated and directly measured small dense low-density lipoprotein cholesterol (sdLDL-C) in 1,969 patients who underwent serum lipid testing at Changzhou Third People's Hospital between January and July 2024. Among these, 461 patients diagnosed with MASLD were included in the study. These patients were further classified into mild (Mil) and moderate-to-severe (Mod-Sev) groups based on controlled attenuation parameter (CAP) values to explore the relationship between EsdLDL-C and the severity of hepatic steatosis.

RESULTS

The correlation coefficient (R) between EsdLDL-C and DsdLDL-C was 0.837, with a bias of 0.223. Both EsdLDL-C (OR 1.095, 95% CI 1.029-1.180) and visceral fat area (VFA) (OR 1.019, 95% CI 1.010-1.028) were identified as independent risk factors for Mod-Sev steatosis compared to the Mil group. After adjusting for all confounders, patients with MASLD had a 1.155-fold increased risk of developing Mod-Sev hepatic steatosis for each unit increase in EsdLDL-C. Furthermore, EsdLDL-C demonstrated good predictive value for Mod-Sev steatosis in MASLD patients, with an area under the curve (AUC) of 0.825 (95% CI 0.784-0.867).

CONCLUSIONS

EsdLDL-C may serve as a practical and cost-effective biomarker for identifying high-risk MASLD patients.

TRIAL REGISTRATION

The retrospective study was approved by the Ethics Committee of Changzhou Third People's Hospital (02 A-A20230015), and a waiver of informed consent was agreed to, as the data were obtained from medical records, and a waiver of informed consent would not have affected the participants.

Does the hepatologist still need to rely on aminotransferases in clinical practice? A reappraisal of the role of a classic biomarker in the diagnosis and clinical management of chronic liver diseases

Aminotransferases, particularly alanine aminotransferase (ALT), are commonly used in the detection, diagnosis, and management of chronic liver diseases. ALT, a sensitive and cost-effective marker of liver injury, remains pivotal in predicting clinical outcomes and guiding interventions in several chronic liver diseases including metabolic dysfunction-associated steatotic liver disease, and chronic viral hepatitis. This study aims to explore the evolving role of ALT as a biomarker. A comprehensive review of evidence was conducted, focusing on studies evaluating ALT thresholds, diagnostic accuracy, and integration with non-invasive liver assessment tools. Special emphasis was given to novel approaches, including artificial intelligence-driven algorithms. Expert opinions from hepatology care perspectives were considered to assess the practical implications of refining ALT-based diagnostic strategies. ALT levels are influenced by diverse factors such as age, gender, and metabolic risks, challenging the use of specific thresholds as biomarker of disease and prognosis. Emerging evidence suggests redefining ALT ranges to enhance sensitivity and accuracy in detecting liver abnormalities. The integration of ALT with advanced non-invasive diagnostic tools, artificial intelligence, and comprehensive patient assessments can optimize early detection of liver disease, thus reducing underdiagnosis, particularly in asymptomatic or vulnerable populations. This work highlights the urgency to tailor the diagnostic approaches in primary and specialised care, ensuring timely and targeted intervention to effectively address the global burden of liver diseases.

Effect of high-intensity interval training on clinical parameters in patients with metabolic dysfunction-associated steatotic liver disease: a systematic review and meta-analysis of randomized controlled trials

High-intensity interval training (HIIT) has potential health benefits in the treatment of many chronic diseases. However, the efficacy of HIIT in patients with metabolic dysfunction-associated steatotic liver disease (MASLD) remains unclear. This systematic review and meta-analysis aimed to assess the impact of HIIT on intrahepatic lipids (IHLs) , liver enzymes, and metabolic profiles in individuals with MASLD. All randomized-controlled trials (RCT) that evaluated and compared the effects of HIIT on clinical parameters in patients with MASLD were searched using the PubMed, EMBASE, WOS, and Cochrane databases. Data analysis and integration were performed using RevMan 5.3 (Cochrane Collaboration, Copenhagen, Denmark) and Stata version 18 software (StataCorp LLC, College Station, Texas, USA), and outcomes were assessed using the standardized mean difference (SMD). Our results showed that compared with other types of exercise or no exercise, HIIT could reduce the levels of IHL [SMD: -0.56%, 95% confidence interval (CI): -0.99 to -0.13, P = 0.01], BMI (SMD: -0.31, 95% CI: -0.62 to -0.01, P = 0.04), alanine aminotransferase (ALT) (SMD: -0.61, 95% CI: -0.95 to -0.26, P = 0.0006), and aspartate aminotransaminase (AST) (SMD: -0.43, 95% CI: -0.81 to -0.05, P = 0.03) in patients with MASLD. In addition, subgroup analyses showed that HIIT had a positive impact on clinical indicators in patients with MASLD with an intervention duration of less than equal to 8 weeks. This study supports the idea that HIIT can significantly reduce IHL, BMI, ALT, and AST levels, and further studies are needed to assess the long-term adherence and treatment effects of HIIT.

Metabolic dysfunction-associated steatotic liver disease in adults

Metabolic dysfunction-associated steatotic liver disease (MASLD) is the umbrella term that comprises metabolic dysfunction-associated steatotic liver, or isolated hepatic steatosis, through to metabolic dysfunction-associated steatohepatitis, the progressive necroinflammatory disease form that can progress to fibrosis, cirrhosis and hepatocellular carcinoma. MASLD is estimated to affect more than one-third of adults worldwide. MASLD is closely associated with insulin resistance, obesity, gut microbial dysbiosis and genetic risk factors. The obesity epidemic and the growing prevalence of type 2 diabetes mellitus greatly contribute to the increasing burden of MASLD. The treatment and prevention of major metabolic comorbidities such as type 2 diabetes mellitus and obesity will probably slow the growth of MASLD. In 2023, the field decided on a new nomenclature and agreed on a set of research and action priorities, and in 2024, the US FDA approved the first drug, resmetirom, for the treatment of non-cirrhotic metabolic dysfunction-associated steatohepatitis with moderate to advanced fibrosis. Reliable, validated biomarkers that can replace histology for patient selection and primary end points in MASH trials will greatly accelerate the drug development process. Additionally, noninvasive tests that can reliably determine treatment response or predict response to therapy are warranted. Sustained efforts are required to combat the burden of MASLD by tackling metabolic risk factors, improving risk stratification and linkage to care, and increasing access to therapeutic agents and non-pharmaceutical interventions.

Head-to-Head Comparison Between Phosphatidylethanol Versus Indirect Alcohol Biomarkers for Diagnosis of MetALD Versus MASLD: A Prospective Study

BACKGROUND

The current subclassification of steatotic liver disease (SLD) relies on validated questionnaires, such as Alcohol Use Disorders Identification Test (AUDIT) and Lifetime Drinking History (LDH), which, while useful, are impractical and lack precision for their use in routine clinical practice. Phosphatidylethanol (PEth) is a quantitative, objective alcohol biomarker with high sensitivity and specificity.

AIMS

To assess the diagnostic accuracy of PEth for differentiating metabolic dysfunction and alcohol-associated liver disease (MetALD) from metabolic dysfunction-associated steatotic liver disease (MASLD) in a large, population-based, prospective, multiethnic cohort of individuals with overweight or obesity.

METHODS

This is a cross-sectional analysis of a prospective study including 374 adults with overweight or obesity residing in Southern California who had SLD as defined by MRI-PDFF ≥ 5%. The clinical research visit included medical history, biochemical and PEth testing, standardised validated questionnaires (including AUDIT and LDH), physical examination, and advanced imaging using MRI-PDFF and MRE.

RESULTS

Among 374 adults with SLD, the prevalence of MASLD, MetALD, and ALD was 90.1%, 6.4%, and 3.5%, respectively. PEth had a robust diagnostic accuracy in the detection of MetALD (AUROC 0.81, 95%CI 0.73-0.89) and the Youden cut-off was 25 ng/mL. In head-to-head comparative efficacy analysis, PEth was both statistically and clinically superior to all previously used indirect alcohol biomarkers for diagnosing MetALD, including aspartate aminotransferase/alanine aminotransferase ratio, mean corpuscular volume, gamma glutamyltransferase, and ALD/NAFLD index (p < 0.05).

CONCLUSIONS

PEth outperforms previously used non-invasive tests in differentiating MetALD from MASLD and has the potential to change clinical practice by enhancing the subclassification of SLD.

The Impact of Steatotic Liver Disease on Cytokine and Chemokine Kinetics During Sepsis

Metabolic dysfunction-associated steatotic liver disease (MASLD) has recently been linked with sepsis outcomes. However, the immune mechanisms by which MASLD aggravates sepsis severity are unknown. This prospective cohort study aimed to analyze serum cytokine and chemokine kinetics in patients with MASLD and community-acquired sepsis. Out of the 124 patients, 68 (55%) were diagnosed with MASLD. There were no differences in age, sex, comorbidities, baseline sepsis severity, or etiology between the groups. Serum concentrations of 27 cytokines and chemokines on admission and day 5 of hospitalization were analyzed using a multiplex bead-based assay. Patients with MASLD had significantly higher serum concentrations of IL17A, IL-23, IL-33, CXCL10 and TGF-β1. Different cytokine kinetics were observed; patients with MASLD had a decrease in IL-10, IL-23, CXCL10 and TGF-β1, and an increase in IL-33, CXCL5 and CXCL1 on day 5. In the non-MASLD group, there was a decrease in IFN-γ, IL-6, IL-23 and CCL20, and an increase in CCL11 and CXCL5. While TGF-β1 significantly increased in non-MASLD, in MASLD, it decreased on day 5. Kinetics of TGF- β1 and CCL11 were associated with mortality in patients with MASLD. In conclusion, MASLD is linked with distinct cytokine and chemokine profiles during sepsis.

The Management of Cardiometabolic Risk in MAFLD: Therapeutic Strategies to Modulate Deranged Metabolism and Cholesterol Levels

Background and Objectives: Fatty Liver Disease is a major health problem worldwide. We can distinguish liver steatosis as non-associated or associated with chronic/acute alcohol consumption. These two entities share similar stages ranging from hepatic fat storage (namely, steatosis) to inflammation, necrosis, and fibrosis until hepatocellular carcinoma (HCC). Over time, "Metabolic Associated Fatty Liver Disease" (MAFLD) has replaced nonalcoholic fatty liver disease (NAFLD) nomenclature and has included cardiometabolic criteria in these patients definition. Thus, obesity, type 2 diabetes mellitus (T2DM), hypertension, and dyslipidemia are MAFLD features and are of the metabolic syndrome. Importantly, there is not a specific treatment for MAFLD, but there are therapeutic strategies that act on metabolic dysfunction related to MAFLD. They can reduce the progression of liver fibrosis and its complications. Materials and Methods: For all these reasons, we conducted a narrative review of the literature, and we focused on metabolic dysfunction related to MAFLD, with a special regard for cholesterol metabolism. Results: MAFLD is a recently redefined condition that better describes the metabolism derangement responsible for fatty liver disease. This distinguishes MAFLD from NAFLD. In fact, the diagnostic criteria for MAFLD require the presence of liver steatosis together with at least one of the following: obesity, T2DM, or evidence of metabolic disorder such as hypertriglyceridemia, low high-density lipoprotein cholesterol, or hypertension. As a result, MAFLD is closely linked to an increased cardiometabolic risk. Current therapeutic approaches can be used to reduce this risk, focusing on lifestyle interventions and pharmacological strategies. Several treatments in patients diagnosed with MAFLD are mainly cholesterol-lowering remedies. Among these, Pro-protein Convertase Subtilisin/Kexin type 9 inhibitors (PCSK9i) show the most promising efficacy profile but data on liver fibrosis are lacking. Agonists of GLP-1 receptor, Sodium-glucose cotransporter-2 inhibitors (SGLT2i) and Dipeptidyl Peptidase-4 inhibitors (DPP-4i) have a " multi-hit " action allowing their use also in diabetic patients with MAFLD. Conclusions: Lifestyle modifications, some nutraceuticals, statins, incretins, and PCSK9i have changed the natural course and significantly improved the cardiometabolic outcomes of MAFLD. Emerging cholesterol-lowering drugs, such as Bempedoic acid, can overcome low compliance to statins' use and their controversial effect on liver fibrosis. Finally, medications targeting insulin resistance allow for strategic interventions of the convoluted pathophysiology of MAFLD in multiple steps, with the potential to reduce liver steatosis, inflammation, and necrosis and, sometimes even to reverse liver fibrosis.

Association between TyG related parameters and metabolic dysfunction associated fatty liver disease among nondiabetic individuals

Metabolic dysfunction associated fatty liver disease (MAFLD) is a prevalent liver condition and presents a major clinical and public health problem worldwide. TyG index and its related parameters TyG-WHtR, TyG-WC and TyG-BMI have been proven to label insulin resistance reliably, which makes it an important parameter to reflect the composition and health status of human body. Recent studies in the general population have demonstrated that there exists a correlation between elevated TyG index and the development of MAFLD, but in the nondiabetic US population, this correlation remains unclear. We included 945 nondiabetic adult participants from NHANES 2017-2020 cycle in this cross-sectional study. To find the relationship that exists between TyG, TyG-WHtR, TyG-WC, TyG-BMI, HOMA-IR, QUICKI and the risk of MAFLD, we used four conventional multivariate adjusted logistic regression models, plotted the RCSs to conduct this study, analyzed the thresholds using a two-stage logistic model. We performed stratified and interaction analyses to identify whether the relationships were stable in different subgroups. Moreover, we assessed the predictive ability of these parameters for MAFLD by plotting ROCs. We found that there was a positive correlation between TyG index and the incidence of MAFLD as well as its related parameters in the nondiabetic population.

Ultrasound radiomics-based logistic regression model for fibrotic NASH

BACKGROUND

Those who have severe fibrosis (F2 ≥ 2 stage) are at the greatest risk for the advancement of the illness among non-alcoholic fatty liver patients. To forecast the non-alcoholic steatohepatitis (NASH) probability accompanied by significant fibrosis, we propose to develop and validate a nomogram liver imaging reporting and data system, providing robust evidence for preventing and treating clinical liver diseases.

METHODS

The study used SD rats to create a model of hepatic steatosis and fibrosis by feeding them a high-fat diet and injecting Ccl4 subcutaneously. Radiomics characteristics were derived from two-dimensional liver ultrasound images of the rats, and a radiomics model was constructed, with rad-scores calculated accordingly. Univariate and multivariate logistic regression was employed to ascertain the clinical characteristics of rats and liver elasticity values, aiming to establish a clinical model. Ultimately, a clinical radiomics model was created by integrating the rad-score from the radiomics model with independent clinical characteristics from the clinical model. A forest plot was generated to depict this integration. The forest plot's performance was assessed by the use of the area under the receiver operating characteristic (ROC) curve (AUC), decision curve analysis, and calibration curve.

RESULTS

The areas under the receiver operating characteristic curve (AUC) for the training set and validation set of the clinical radiomics model were 0.986 and 0.971, respectively. Decision curve analysis showed that the clinical radiomics model had the highest net benefit across most threshold probability ranges.

CONCLUSION

The nomogram and clinical radiomics model, which consists of clinical characteristics, real-time shear wave elastography, and radiomics, provide excellent predictive capability in assessing the likelihood of fibrotic NASH.

Liver diseases: epidemiology, causes, trends and predictions

As a highly complex organ with digestive, endocrine, and immune-regulatory functions, the liver is pivotal in maintaining physiological homeostasis through its roles in metabolism, detoxification, and immune response. Various factors including viruses, alcohol, metabolites, toxins, and other pathogenic agents can compromise liver function, leading to acute or chronic injury that may progress to end-stage liver diseases. While sharing common features, liver diseases exhibit distinct pathophysiological, clinical, and therapeutic profiles. Currently, liver diseases contribute to approximately 2 million deaths globally each year, imposing significant economic and social burdens worldwide. However, there is no cure for many kinds of liver diseases, partly due to a lack of thorough understanding of the development of these liver diseases. Therefore, this review provides a comprehensive examination of the epidemiology and characteristics of liver diseases, covering a spectrum from acute and chronic conditions to end-stage manifestations. We also highlight the multifaceted mechanisms underlying the initiation and progression of liver diseases, spanning molecular and cellular levels to organ networks. Additionally, this review offers updates on innovative diagnostic techniques, current treatments, and potential therapeutic targets presently under clinical evaluation. Recent advances in understanding the pathogenesis of liver diseases hold critical implications and translational value for the development of novel therapeutic strategies.

Non-invasive markers of hepatic steatosis and fibrosis following INSTI initiation in women with HIV

BACKGROUND

The impact of integrase strand-transfer inhibitors (INSTIs) on steatotic liver disease in women with HIV (WWH) is unknown.

METHODS

Using data collected in the Women's Interagency HIV Study from 2007-2020, change in Fibrosis-4 index (FIB4), aspartate aminotransferase to platelet ratio index (APRI), and non-alcoholic fatty liver disease fibrosis score (NFS) over 5 years was compared between virologically-suppressed WWH who switched to or added an INSTI to their antiretroviral therapy (ART) and WWH remaining on non-INSTI ART. In participants with transient elastography (TE) measures, estimates of hepatic steatosis (controlled attenuation parameter, CAP), fibrosis (liver stiffness, LS), and steatohepatitis (FibroScan-aspartate aminotransferase scores, FAST) were compared by group.

RESULTS

A total of 872 WWH (323 INSTI, 549 non-INSTI) were included, and 280 (146 INSTI, 134 non-INSTI) had TE. Of these, 61% were Non-Hispanic Black; mean age was 47 years and body mass index was 31.4 kg/m2. Among non-obese women, those in the INSTI compared to the non-INSTI group had a greater increase in NFS (but not FIB4 or APRI) over time (study group*time, p=0.015). Those in the INSTI compared to non-INSTI group also had greater CAP (+25, 95%CI:0.28-49, p=0.048), LS (+1.23, 1.01-1.49, p=0.038), and FAST scores (+1.97, 1.17-3.31, p=0.011) and a 3.7 (1.2-11.4, p=0.021) greater odds of having hepatic steatosis (CAP≥248 dB/m) within 1 year of starting an INSTI.

CONCLUSIONS

Hepatic steatosis risk was increased only within the first year following INSTI initiation among WWH. Longitudinal hepatic assessments are warranted to evaluate whether these changes are associated with clinically significant liver disease.

Advances in research on metabolic dysfunction-associated steatotic liver disease

The global increase in obesity-related metabolic disorders has led to metabolic dysfunction-associated steatotic liver disease (MASLD) emerging as one of the most prevalent chronic liver disease worldwide. Despite growing concerns, the exact pathogenesis of MASLD remains unclear and no definitive treatments have been made available. Consequently, the need for comprehensive research on MASLD is more critical than ever. Gaining insight into the mechanisms of the disease can lay the groundwork for identifying new therapeutic targets and can facilitate the development of diagnostic tools that enable the early detection and intervention of MASLD. Research has discovered a multifactorial etiology for MASLD, suggesting that potential therapeutic strategies should be considered from a variety of perspectives. This review delves into the pathogenesis of MASLD, current diagnostic approaches, potential therapeutic targets, the status of clinical trials for emerging drugs, and the most promising treatment methods available today. With a focus on therapeutic targets, the aim is to offer fresh insights and guide for future research in the treatment of MASLD.

Role of noninvasive tests in the prognostication of metabolic dysfunction-associated steatotic liver disease

In managing metabolic dysfunction-associated steatotic liver disease, which affects over 30% of the general population, effective noninvasive biomarkers for assessing disease severity, monitoring disease progression, predicting the development of liver-related complications, and assessing treatment response are crucial. The advantage of simple fibrosis scores lies in their widespread accessibility through routinely performed blood tests and extensive validation in different clinical settings. They have shown reasonable accuracy in diagnosing advanced fibrosis and good performance in excluding the majority of patients with a low risk of liver-related complications. Among patients with elevated serum fibrosis scores, a more specific fibrosis and imaging biomarker has proved useful to accurately identify patients at risk of liver-related complications. Among specific fibrosis blood biomarkers, enhanced liver fibrosis is the most widely utilized and has been approved in the United States as a prognostic biomarker. For imaging biomarkers, the availability of vibration-controlled transient elastography has been largely improved over the past years, enabling the use of liver stiffness measurement (LSM) for accurate assessment of significant and advanced fibrosis, and cirrhosis. Combining LSM with other routinely available blood tests enhances the ability to diagnose at-risk metabolic dysfunction-associated steatohepatitis and predict liver-related complications, some reaching an accuracy comparable to that of liver biopsy. Magnetic resonance imaging-based modalities provide the most accurate quantification of liver fibrosis, though the current utilization is limited to research settings. Expanding their future use in clinical practice depends on factors such as cost and facility availability.

Fast score is associated with patient-reported outcomes in patients with metabolic dysfunction-associated steatotic liver disease

BACKGROUNDS

People with metabolic dysfunction-associated steatotic liver disease (MASLD) frequently report fatigue. This symptom is associated with hepatic inflammation and fibrosis. FibroScan-aspartate aminotransferase (FAST) score is a noninvasive measurement tool that can be used to assess the severity of MASLD. We aimed to investigate the independent factors associated with patient-reported outcomes (PROs) including fatigue, and their FAST scores.

METHODS

We enrolled 116 patients with MASLD. PROs were assessed by the Chronic Liver Disease Questionnaire for nonalcoholic fatty liver disease (CLDQ-NAFLD), which consists of six domains including fatigue. Each domain score that was less than 6 was classified into the impairment group. A cutoff value of 0.67 in the FAST score was used to categorize a high or low FAST score. Independent factors associated with impaired PROs and fatigue were analyzed using logistic regression analysis and a graphical model.

RESULTS

For factor total, in the logistic regression analysis, the high FAST score was only identified as a negative independent factor for impaired total CLDQ-NAFLD (odds ratio: 5.9, 95% confidence interval: 1.11-31.20, P  = 0.034). The graphical model revealed that FAST score, BMI, and age directly interact with impaired total CLDQ-NAFLD. For fatigue, there was no statistically significant factor in the logistic regression analysis. The graphical model revealed that the FAST score, BMI, estimated glomerular filtration rate, and age directly interact with fatigue.

CONCLUSION

We found that the FAST score directly interacted with total CLDQ-NAFLD and the domain of fatigue. The FAST score may be a useful tool to assess impaired CLDQ-NAFLD.

Accurate non-invasive detection of MASH with fibrosis F2-F3 using a lightweight machine learning model with minimal clinical and metabolomic variables

BACKGROUND

There are no known non-invasive tests (NITs) designed for accurately detecting metabolic dysfunction-associated steatohepatitis (MASH) with liver fibrosis stages F2-F3, excluding cirrhosis-the FDA-defined range for prescribing Resmetirom and other drugs in clinical trials. We aimed to validate and re-optimize known NITs, and most importantly to develop new machine learning (ML)-based NITs to accurately detect MASH F2-F3.

METHODS

Clinical and metabolomic data were collected from 443 patients across three countries and two clinic types (metabolic surgery, gastroenterology/hepatology) covering the entire spectrum of biopsy-proven MASH, including cirrhosis and healthy controls. Three novel types of ML models were developed using a categorical gradient boosting machine pipeline under a classic 4:1 split and a secondary independent validation analysis. These were compared with twenty-three biomarker, imaging, and algorithm-based NITs with both known and re-optimized cutoffs for MASH F2-F3.

RESULTS

The NAFLD (Non-Alcoholic Fatty Liver Disease) Fibrosis Score (NFS) at a - 1.455 cutoff attained an area under the receiver operating characteristic curve (AUC) of 0.59, the highest sensitivity (90.9 %), and a negative predictive value (NPV) of 87.2 %. FIB-4 risk stratification followed by elastography (8 kPa) had the best specificity (86.9 %) and positive predictive value (PPV) (63.3 %), with an AUC of 0.57. NFS followed by elastography improved the PPV to 65.3 % and AUC to 0.62. Re-optimized FibroScan-AST (FAST) at a 0.22 cutoff had the highest PPV (69.1 %). ML models using aminotransferases, metabolic syndrome components, BMI, and 3-ureidopropionate achieved an AUC of 0.89, which further increased to 0.91 following hyperparameter optimization and the addition of alpha-ketoglutarate. These new ML models outperformed all other NITs and displayed accuracy, sensitivity, specificity, PPV, and NPV up to 91.2 %, 85.3 %, 97.0 %, 92.4 %, and 90.7 % respectively. The models were reproduced and validated in a secondary sensitivity analysis, that used one of the cohorts as feature selection/training, and the rest as independent validation, likewise outperforming all other applicable NITs.

CONCLUSIONS

We report for the first time the diagnostic characteristics of non-invasive, metabolomics-based biomarker models to detect MASH with fibrosis F2-F3 required for Resmetirom treatment and inclusion in ongoing phase-III trials. These models may be used alone or in combination with other NITs to accurately determine treatment eligibility.