Impact of non-invasive biomarkers on hepatology practice: Past, present and future

Metabolic Dysfunction-Associated Steatotic Liver Disease in the MENA Region: Setting a Research and Action Priority Agenda

BACKGROUND & AIMS

Metabolic dysfunction-associated steatotic liver disease (MASLD) is a growing health challenge, particularly in Middle East and North Africa (MENA) countries. This study aimed to establish a consensus-driven research and action agenda to address MASLD within the MENA region.

METHODS

Following a global MASLD research and action agenda setting study, over two Delphi rounds (Rs), MENA region experts (R1 n = 112, R2 n = 104) indicated their level of agreement with and provided feedback on MASLD research and action priorities via Qualtrics XM. In R2, panellists also ranked the priorities, which were categorised across six domains: (1) the human and economic burden, (2) defining and implementing care models, (3) disease management, (4) education and awareness, (5) patient and community perspectives, and (6) leadership and policies for the MASLD public health agenda.

RESULTS

The consensus-built MASLD research and action priority agenda for the MENA region comprises 52 priorities. Combined agreement (i.e., 'agree' + 'somewhat agree') increased from 97.6% and 98.1% in R1 to 98.2% and 98.5% in R2 with the research (n = 30) and action (n = 22) priorities, respectively. The highest ranked research priorities included developing regional MASLD databases and validating non-invasive diagnostic tools. The highest ranked action priorities included taking steps to enhance the adoption of lifestyle interventions among people living with MASLD and improving disease knowledge among healthcare providers.

CONCLUSIONS

This region-specific agenda can help to guide research and optimise clinical practice, thereby improving the understanding, prevention, and management of MASLD, enhancing health outcomes and reducing its burden within the MENA region.

Hyperspectral Imaging Combined with Residual-Attention-Net for Spectral-Spatial Feature Fusion in Liver Disease Diagnosis

Distinguishing well-differentiated hepatocellular carcinoma (HCC) from cirrhosis is critical for effective treatment. However, while pathological morphology remains the gold standard, it has limitations in differentiating these two conditions. This study aims to propose a novel hyperspectral image (400-1000nm) processing method based on 3D-Residual-attention networks (3D Ra-Net) to improve the accuracy of differentiation between the two.The study employs a 3D Ra-Net model that integrates spectral features with spatial information to enhance classification accuracy. We incorporated band selection techniques, including the Norris derivative and the Successive Projections Algorithm (SPA), and optimized the data processing workflow. Experimental performance was evaluated using cross-validation, with the primary metrics of accuracy, sensitivity, and specificity for statistical analysis.The experimental results demonstrate that the 3D Ra-Net model achieved a classification accuracy of 92.11% in distinguishing well-differentiated HCC from cirrhosis. Additionally, the model achieved an accuracy of 84.67% in distinguishing well-differentiated HCC, poorly differentiated HCC, cirrhosis, and normal liver tissue. Sensitivity and specificity values also indicated strong diagnostic performance.The key innovation of this study lies in the development of the 3D Ra-Net model and the efficient extraction of joint spatial-spectral features. This method provides a novel, effective approach for the accurate diagnosis of HCC, offering reliable potential for clinical application in liver disease diagnosis.

Beyond obesity: lean metabolic dysfunction-associated steatohepatitis from unveiling molecular pathogenesis to therapeutic advancement

Nonalcoholic fatty liver disease (NAFLD), now known by the name of metabolic dysfunction-associated fatty liver disease (MAFLD), with increased global incidence, has been recognized as a significant metabolic disorder. NAFLD includes a spectrum liver disease from hepatocellular fat accumulation (isolated steatosis) to an advanced form of liver injury known as nonalcoholic steatohepatitis (NASH), which refers to distinct histologic features, including hepatocellular steatosis and injury, necroinflammation, and eventually fibrosis. Nonobese or lean individuals associated with metabolic dysregulation usually demonstrated diverse risk factors compared to obese MAFLD. The presence of normal range body mass index (BMI) and excess visceral adiposity with increased cardiometabolic and renal comorbidities, along with sarcopenia, has been evidenced to be associated with lean MASH. Genetic predispositions accompanying lifestyle and environmental factors contribute to disease initiation and progression. The genetic influence in pathophysiology indicated the significant contributions of the following genes: PNPLA3, TM6SF2, APOB, LIPA, MBOAT7, and HSD17B13, and the impact of their disease-specific variants in the development of obesity-independent MASH. The epigenetic modifications exhibited differential DNA methylation patterns in the genes involved in lipid metabolism, particularly hypomethylation of PEMT. Diet-induced and genetic animal models of lean MASH, including Slc: Wistar/ST rats, PPAR-α, PTEN, and MAT1A knockout mice models, are indicated to be pivotal in the exploration of disease progression and observing the effect of therapeutic interventions. This comprehensive review comprises the molecular and genetic pathophysiology, molecular diagnostics, and therapeutic aspects of lean MASH to enunciate a diagnostic approach that combines detailed clinical phenotyping regarding genomic analysis.

Innovative Strategies in the Diagnosis and Treatment of Liver Cirrhosis and Associated Syndromes

Liver cirrhosis continues to be a major global health issue, contributing to high morbidity and mortality due to its progressive nature and associated complications. This review explores recent advancements in the diagnosis and treatment of liver cirrhosis and its related syndromes. Non-invasive diagnostic tools, such as elastography and serum biomarkers, have significantly improved early detection, reducing the need for liver biopsies. Advanced imaging techniques, including MRI and CT, further enhance diagnostic accuracy. In parallel, molecular and genomic research is providing new insights into the pathogenesis of the disease, paving the way for precision medicine. On the treatment front, pharmacological innovations, such as antifibrotic agents and targeted therapies, show promise in slowing disease progression. Endoscopic interventions like variceal banding are improving the management of complications, while advancements in liver transplantation and artificial liver support systems offer life-saving alternatives. Regenerative medicine, particularly stem cell therapy and tissue engineering, is emerging as a promising strategy for liver repair. Managing cirrhosis-related syndromes, including portal hypertension, ascites, hepatic encephalopathy, and hepatorenal syndrome, now involves evolving therapeutic approaches such as transjugular intrahepatic portosystemic shunt (TIPS) and novel pharmacotherapies. Prognostic scoring systems like the MELD and Child-Pugh are being refined with new biomarkers for better risk stratification. The future of cirrhosis care will likely involve the integration of artificial intelligence and machine learning for early diagnosis and personalized treatments, alongside emerging therapies currently under investigation. Despite these advancements, challenges such as costs, accessibility, and healthcare disparities remain barriers to widespread adoption. This review highlights the importance of incorporating innovative diagnostic and therapeutic strategies into clinical practice to improve the outcomes for patients with liver cirrhosis and its complications.

Liver stiffness progression in biopsy-proven metabolic dysfunction-associated steatotic disease among people with diabetes versus people without diabetes: A prospective multicenter study

BACKGROUND AND AIMS

There are limited data on the progression of liver stiffness measurement (LSM) by vibration-controlled transient elastography (VCTE) in people with type 2 diabetes mellitus (T2DM) versus those without T2DM in biopsy-proven metabolic dysfunction-associated steatotic liver disease. We examined LSM progression in participants with T2DM versus those without T2DM in a large, prospective, multicenter cohort study.

APPROACH AND RESULTS

This study included 1231 adult participants (62% female) with biopsy-proven metabolic dysfunction-associated steatotic liver disease who had VCTEs at least 1 year apart. LSM progression and regression were defined by a ≥20% increase and an upward or downward change, respectively, in the LSM category in the Baveno VII categories for compensated advanced chronic liver disease, compared between participants with T2DM (n = 680) versus no T2DM (n = 551) at baseline. The mean (±SD) age and body mass index were 51.8 (±12.0) years and 34.0 (±6.5) kg/m 2 , respectively. The median (IQR) time between the first and last VCTE measurements was 4.1 (2.5-6.5) years. Participants with T2DM had higher LSM progression at 4 years (12% vs. 10%), 6 years (23% vs. 16%), and 8 years (50% vs. 39%), p = 0.04. Using a multivariable Cox proportional hazards model adjusted for multiple confounders, the presence of T2DM remained an independent predictor of LSM progression (adjusted HR: 1.35, 95% CI: 1.01-1.81, p = 0.04). T2DM was not associated with LSM regression ( p = 0.71). Mean HbA1c was significantly associated with LSM progression ( p = 0.003) and regression ( p = 0.02).

CONCLUSIONS

Using serial VCTE data from a multicenter study of participants with biopsy-proven metabolic dysfunction-associated steatotic liver disease, we demonstrate that T2DM and HbA1c are associated with LSM progression.

Comparing ultrasound-derived fat fraction and MRI-PDFF for quantifying hepatic steatosis: a real-world prospective study

OBJECTIVE

To compare the agreement between ultrasound-derived fat fraction (UDFF) with magnetic resonance proton density fat fraction (MRI-PDFF) for quantification of hepatic steatosis and verify its reliability and diagnostic performance by comparing with MRI-PDFF as the reference standard.

METHODS

This prospective study included a primary analysis of 191 patients who underwent MRI-PDFF and UDFF from February 2023 to February 2024. MRI-PDFF were derived from three liver segment measurements with calculation of an overall median PDFF. UDFF was performed by two different sonographers for each of the six measurements, and the median was taken. Intraclass correlation coefficient (ICC) and Bland-Altman analysis were used to assess agreement. Receiver operating characteristics (ROC) curves were used to evaluate the diagnostic performance of UDFF in detecting different degrees of hepatic steatosis.

RESULTS

A total of 176 participants were enrolled in the final cohort of this study (median age, 36.0 years; 82 men, 94 women). The median MRI-PDFF value was 11.3% (interquartile range (IQR) 7.5-18.9); 84.7% patients had a median MRI-PDFF value ≥ 6.4%. The median UDFF measured by different sonographers were 9.5% (IQR: 5.0-18.0) and 9.0% (IQR: 5.0-18.0), respectively. The interobserver agreement of UDFF measurement was excellent agreement (ICC = 0.951 [95% CI: 0.934-0.964], p < 0.001). UDFF was positively strongly correlated with MRI-PDFF with ICC of 0.899 (95% CI: 0.852-0.930). The Bland-Altman analysis showed high agreement between UDFF and MRI-PDFF measurements, with a mean bias of 1.7% (95% LOA, -8.7 to 12.2%). The optimal UDFF cutoff values were 5.5%, 15.5% and 17.5% for detecting MRI-PDFF at historic thresholds of 6.4%, 17.4%, and 22.1%, with AUC of 0.851, 0.952, and 0.948, respectively. The sensitivity was 79.2%, 87.5%, 88.9%, and specificity was 81.5%, 90.6%, 90.0%, respectively.

CONCLUSIONS

UDFF is a reliable and accurate method for quantification and classification of hepatic steatosis, with strong agreement to MRI-PDFF. The UDFF cutoff values of 5.5%, 15.5%, and 17.5% provide high sensitivity and specificity for the detection of mild, moderate, and severe hepatic steatosis, respectively.

KEY POINTS

Question Is ultrasound-derived fat fraction (UDFF) reliable for the quantitative detection of hepatic steatosis compared to MRI proton density fat fraction (MRI-PDFF)? Findings UDFF cutoff values of 5.5%, 15.5%, and 17.5% provided high sensitivity and specificity for the detection of mild, moderate, and severe hepatic steatosis, respectively. Clinical relevance UDFF is a reliable and accurate method for quantification and classification of hepatic steatosis, with strong agreement to MRI-PDFF and high reproducibility of liver fat content by different sonographers.

Development and evaluation of percentile curves of serum alanine aminotransferase in older adults: A multi-cohort study

INTRODUCTION AND OBJECTIVES

Age independently impacts alanine aminotransferase (ALT) levels. This study was conducted to develop age- and sex-specific ALT percentile curves among older adults and evaluate their diagnostic performance across two external cohorts.

MATERIALS AND METHODS

We developed ALT percentile curves using data from a reference population aged 50-90 years (n = 20,039). We evaluated diagnostic performance of various ALT thresholds (40 U/L, American College of Gastroenterology [ACG]'s 33 U/L [men] and 25 U/L [women], and the new percentile curves) for infections of hepatitis B virus and hepatitis C virus, metabolic dysfunction associated steatotic liver disease, and excessive alcohol consumption in two external cohorts.

RESULTS

ALT percentile curves declined with age. In men, the 95th percentile decreased from 31.4 U/L at 50 years to 21.7 U/L at 90 years; in women, from 26.1 U/L to 17.8 U/L. The 95th percentile curves achieved the highest Youden's index and area under the receiver operating characteristic (AUROC) across the three thresholds in two external validation cohorts, with the Youden's index and AUROC of 0.141 and 0.571 (95% CI: 0.555-0.586) in external cohort 1, and 0.435 and 0.717 (95% CI: 0.680-0.754) in external cohort 2, respectively.

CONCLUSIONS

The newly proposed ALT percentile curves may serve as a valuable reference for screening liver diseases in older adults.

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.

Liver Cirrhosis: ancient disease, new challenge

Liver cirrhosis is a common cause of morbidity and mortality worldwide. Excessive alcohol consumption and metabolic associated steatotic liver disease are the most common etiological factors of cirrhosis in our region. Cirrhosis occurs in two well-differentiated phases, compensated and decompensated, depending on the absence or presence of complications, respectively. Current therapeutic strategies are aimed at controlling these complications (such as ascites, hepatic encephalopathy, bacterial infections, or digestive hemorrhage, among others) or performing a liver transplant if there are no contraindications. However, it is important to eliminate the etiological factor responsible for the disease, as this can lead to the disappearance of complications, a state known as recompensation. This article proposes an updated review of the epidemiology of cirrhosis and its main causes, and offers an overview of the clinical features and treatment of the disease's complications, in addition to outlining future lines of research in this field.

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.

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.

Development and evaluation of a predictive model of upper gastrointestinal bleeding in liver cirrhosis

BACKGROUND

Upper gastrointestinal bleeding (UGIB) is a prevalent and severe complication of cirrhosis, often resulting from esophagogastric variceal bleeding (EVB). This condition poses significant life-threatening risks. Once bleeding occurs, the risk of recurrent episodes substantially increases, further compromising liver function and worsening patient outcomes. This study aims to identify risk factors for UGIB in cirrhotic patients using clinical examination data and to develop a non-invasive predictive model to improve diagnostic precision and efficiency.

METHODS

Based on the inclusion and exclusion criteria, the study included 140 cirrhotic patients hospitalized at the First Affiliated Hospital of Nanjing Medical University between June 2022 and May 2023, who experienced UGIB within six months after discharge. These patients were compared with 151 cirrhotic patients hospitalized at the same hospital during the same period, who were discharged within six months without experiencing UGIB. General characteristics of the patients during hospitalisation, laboratory parameters on admission, and liver and spleen stiffness were retrospectively collected, and a retrospective case-control study was conducted. All patients were randomly assigned to the training and validation sets in a ratio of 7:3. Independent factors associated with UGIB were identified by univariate analysis, multivariate logistic regression analysis, and stepwise regression analysis, on the basis of which a predictive model was developed. The model's performance was assessed via receiver operating characteristic (ROC) curve and decision curve analysis (DCA) and was compared with established prognostic models, including the Child-Pugh and MELD scores.

RESULTS

The study analyzed 291 patients with cirrhosis, of whom 208 were allocated to the training set and 83 to the validation set. Independent predictors were identified, and predictive models were constructed using multivariate logistic regression analysis, and stepwise regression analysis in the training set, followed by validation in the validation set. The stepwise regression analysis identified ascites, spleen stiffness, albumin, fibrinogen, total cholesterol, and total bilirubin as independent predictors of UGIB (P < 0.05). These variables were incorporated into the predictive model. The area under the curve (AUC) for UGIB prediction was 0.956 in the training set and 0.909 in the validation set, demonstrating strong predictive performance. Furthermore, comparative analysis using ROC and DCA demonstrated that the developed model outperformed established scoring systems, such as the Child-Pugh score and the MELD score.

CONCLUSION

Ascites, spleen stiffness, albumin, fibrinogen, total cholesterol and total bilirubin as independent predictors of UGIB in cirrhotic patients.

Cytokeratin 18 fragment in liver inflammation and fibrosis: Systematic review and meta-analysis

BACKGROUND

This meta-analysis aimed to summarize the diagnostic accuracy and cut-off values of cytokeratin (CK) 18 measurements, specifically M30 and M65, as candidate biomarkers for the pathological evaluation of biopsy specimens used to stage liver inflammation and fibrosis in patients with chronic liver diseases.

METHODS

Databases were searched for studies collected up to January 11th, 2025. Pooled sensitivity, specificity, area under the receiver-operating characteristic curves, and mean cut-off values were calculated using random-effects models regardless of heterogeneity. A meta-regression analysis and subgroup analysis were performed to explore heterogeneity.

RESULTS

Sixty-three studies comprising 9137 patients were included. The summarized AUROC curve of CK18 M30 for the diagnosis of significant liver inflammation, fibrosis ≥F1, ≥F2, ≥F3, and =F4 according to the METAVIR score system were 0.82, 0.75, 0.78, 0.78 and 0.76, with mean cut-off values of 264.3, 188.0, 276.9, 322.8 and 169.4 U/L. For M65, the summarized AUROC curve for detecting significant liver inflammation, fibrosis ≥F1, ≥F2, and =F4 were 0.79, 0.70, 0.76, 0.64 and 0.72, with mean cut-off values of 541.1, 417.6, 500.1, 424.6 and 674.0 U/L. The subgroup analyses implied that ethnicity may be the primary factor related to heterogeneity in CK18 M30 when applied to detect significant inflammation. Asian patients had values 79.7 U/L higher than those of non-Asian patients (p = 0.0157).

CONCLUSIONS

CK18 M30 and M65 have clinically meaningful accuracy as alternative diagnostic tools for determining liver inflammation and fibrosis using biopsy specimens of patients with steatotic liver disease or viral hepatitis.

REGISTRATION

PROSPERO registration number: CRD42022364598.

Noninvasive assessment of hepatic decompensation

Noninvasive tests (NITs) are used in all aspects of liver disease management. Their most prominent break-through since the millennium has been in advancing early detection of liver fibrosis, but their use is not limited to this. In contrast to the symptom-driven assessment of decompensation in patients with cirrhosis, NITs provide not only opportunities for earlier diagnoses but also accurate prognostication, targeted treatment decisions, and a means of monitoring disease. NITs can inform disease management and decision-making based on validated cutoffs and standardized interpretations as a valuable supplement to clinical acumen. The Baveno VI and VII consensus meetings resulted in tangible improvements to pathways of care for patients with compensated and decompensated advanced chronic liver disease, including the combination of platelet count and transient elastography to diagnose clinically significant portal hypertension. Furthermore, circulating NITs will play increasingly important roles in assessing the response to interventions against ascites, variceal bleeding, HE, acute kidney injury, and infections. However, due to NITs' wide availability, there is a risk of inaccurate use, leading to a waste of resources and flawed decisions. In this review, we describe the uses and pitfalls of NITs for hepatic decompensation, from risk stratification in primary care to treatment decisions in outpatient clinics, as well as for the in-hospital management of patients with acute-on-chronic liver failure. We summarize which NITs to use when, for what indications, and how to maximize the potential of NITs for improved patient management.

Natural History and Predictors of Clinical Outcomes in Autoimmune Liver Diseases: A Multicenter Study

BACKGROUND AND AIM

Prognosis in autoimmune hepatitis (AIH), primary biliary cholangitis (PBC), and primary sclerosing cholangitis (PSC) has historically been poor. This multicenter retrospective cohort study investigated the natural history and assessed the predictors of outcomes in patients with AIH, PBC, and PSC.

METHODS

AIH, PBC, and PSC patients were identified from the state-wide Hepascore and Clinical Outcome cohort. Overall death or transplant, liver-related mortality (liver-related death or transplant), and liver-related decompensation were determined using a population-based data linkage system. Baseline Liver Outcome Score (LOS), Hepascore, and MELD were examined for predicting outcomes.

RESULTS

Two-hundred thirty-seven AIH patients (24% male, median age 56.6 years [range, 14.3-94.0]), 157 PBC patients (8.3% male, median age 60.5 years [range, 25.6-87.1]), and 167 PSC patients (52.7% male, median age 55.6 years [range, 18.4-88.6]) were enrolled. Five-year transplant-free survival was 88% (95%CI: 81-92%) in AIH, 92% (95%CI: 85-96%) in PBC, and 61% (95%CI: 51-69%) in PSC. PSC had a significantly worse overall death or transplant, liver-related mortality, and liver-related decompensation when compared to AIH and PBC (p < 0.0001). LOS was a significant independent predictor of overall death or transplant, liver-related mortality, and liver-related decompensation among patients with AIH and PBC. LOS was a significant independent predictor of overall death or transplant in patients with PSC, and Hepascore was a significant independent predictor of liver-related mortality and liver-related decompensation.

CONCLUSIONS

Outcomes for AIH and PBC are excellent but remain poor in PSC. LOS is a predictor of outcomes in autoimmune liver disease.

Posttreatment FIB-4 score change predicts hepatocellular carcinoma in chronic hepatitis C patients: Findings from the Taiwan hepatitis C registry program

PURPOSE

This study investigated whether Fibrosis-4 (FIB-4) score and its change can serve as predictors of hepatocellular carcinoma (HCC) development in patients with chronic hepatitis C (CHC) infection receiving direct-acting antivirals (DAAs).

METHODS

This study identified 9679 patients who completed DAA treatment and achieved sustained virologic response (SVR) from the Taiwan Nationwide Real-World HCV Registry Program, and their risk of HCC was analyzed.

RESULTS

Multivariable Cox regression analyses identified diabetes mellitus (DM), alpha-fetoprotein (AFP) level, and FIB-4 score as independent predictors of HCC in both Model 1 (baseline) and Model 2 (SVR). Change in FIB-4 score (△FIB-4) of < -0.9086 from baseline to SVR achievement was a significant predictor of HCC only in Model 2 (SVR). In Model 2 (SVR), DM (hazard ratio [HR]: 1.53, 95% confidence interval [CI]: 1.04-2.26, p = 0.033), FIB-4 score (≥3.25 vs. <3.25; HR: 2.40, 95% CI: 1.63-3.53, p < 0.001), △FIB-4 (greater reduction: <-0.9086 vs. smaller reduction: ≥-0.9086; HR: 1.85, 95% CI: 1.25-2.74, p = 0.002), and AFP level (≥20 vs. <20 ng/mL; HR: 16.40, 95% CI: 9.16-29.36, p < 0.001) were significant predictors of HCC. At 3 years, the cumulative HCC incidence was 10.67% in patients with an FIB-4 score of ≥3.25 upon achieving SVR and △FIB-4 of < -0.9086 and 1.72% in those with an FIB-4 score of <3.25 upon achieving SVR and △FIB-4 of ≥ -0.9086.

CONCLUSIONS

Posttreatment FIB-4 score and its change from baseline can be used to stratify HCC risk in patients with CHC receiving DAAs.

Non-Invasive Biomarkers in the Era of Big Data and Machine Learning

Invasive diagnostic techniques, while offering critical insights into disease pathophysiology, are often limited by high costs, procedural risks, and patient discomfort. Non-invasive biomarkers represent a transformative alternative, providing diagnostic precision through accessible biological samples or physiological data, including blood, saliva, breath, and wearable health metrics. They encompass molecular and imaging approaches, revealing genetic, epigenetic, and metabolic alterations associated with disease states. Furthermore, advances in breathomics and gut microbiome profiling further expand their diagnostic scope. Even with their strengths in terms of safety, cost-effectiveness, and accessibility, non-invasive biomarkers face challenges in achieving monitoring sensitivity and specificity comparable to traditional clinical approaches. Computational advancements, particularly in artificial intelligence and machine learning, are addressing these limitations by uncovering complex patterns in multi-modal datasets, enhancing diagnostic accuracy and facilitating personalized medicine. The present review integrates recent innovations, examines their clinical applications, highlights their limitations and provides a concise overview of the evolving role of non-invasive biomarkers in precision diagnostics, positioning them as a compelling choice for large-scale healthcare applications.

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.

Serum ECM1 is a promising biomarker for staging and monitoring fibrosis in patients with chronic hepatitis B

It is critical to assess the extent and progression of liver fibrosis for patients to receive suitable treatments, but its diagnostic methods remain unmet. Extracellular matrix protein 1 (ECM1) has previously been reported to be a key factor in the induction and progression of liver fibrosis. However, little is known about the use of ECM1 as a biomarker to evaluate fibrosis. In a CCl4-induced mouse model of liver fibrosis, the present study demonstrated that ECM1 decreased with gradually increasing fibrosis. Using biopsy as a reference, the serum ECM1 levels decreased with increasing fibrosis stage in 247 patients with liver fibrosis, but there were no significant changes between fibrosis stage 2 and stage 0-1. To improve the performance of ECM1, age, platelet count, and ECM1 concentration were combined to calculate an EPA (ECM1-platelet-age) score (ranging from 0 to 10). The areas under the receiver operating characteristic curve of the EPA scores for the detection of F⩾2, F⩾3, and F4 were 0.6801, 0.7377, and 0.8083, respectively, which showed a comparable or significantly greater diagnostic performance for assessing fibrosis than that of the AST/ALT ratio, APRI score, or FIB-4 score. In HBV patients following antiviral treatment, the dynamics of the EPA score depended on the status of liver fibrosis development. The accuracy of the EPA score in predicting fibrosis regression and progression was 66.00% and 71.43%, respectively, while that of the LSM, another useful method for monitoring hepatic fibrosis changes during treatment, was only 52.00% and 7.14%, respectively. Compared with healthy controls, there were lower levels of serum ECM1 in HBV patients and individuals with HCV infection, MAFLD, ALD, PBC, and DILI. These findings suggested that individuals with reduced ECM1 levels may have a risk of developing liver injury, and further examinations or medical care are needed. In conclusion, the ECM1-containing EPA score is a valuable noninvasive test for staging fibrosis and predicting the progression of liver fibrosis. Additionally, ECM1 alone is an indicator for distinguishing patients with liver injury from healthy controls.

Impact of Nonalcoholic Fatty Liver Disease on the Survival of People Living With HIV

BACKGROUND

Nonalcoholic fatty liver disease (NAFLD) is an increasing concern for people living with HIV (PLWH). However, information on the impact of NAFLD on the prognosis of PLWH is very scarce.

AIMS

To investigate the influence of NAFLD on the overall and liver-related mortality in PLWH.

METHODS

PLWH followed in three Spanish centres were included in a prospective cohort at the date of the first transient elastography evaluation. Survival data were recorded, and the causes of death were centrally monitored. The risk of all-cause death and liver-related death was evaluated by applying time-to-event analyses.

RESULTS

A total of 2151 PLWH were included in the cohort and followed for a median (Q1-Q3) of 7.3 (3.5-10.4) years. There were 174 (8.1%) deaths. The probability of overall death and liver-related death was associated with liver stiffness measurement (LSM) and with FibroScan-AST (FAST) score. Among 844 PLWH with potential for NALFD, LSM was independently associated with all-cause mortality (adjusted hazard ratio [AHR], by 1 kPa increase: 1.06; 95% confidence interval [95% CI]: 1.04-1.08; p < 0.001). In a separate model and after adjustment, FAST score ≥ 0.67 was related to survival (AHR: 1.87; 95% CI: 1.40-2.50; p < 0.001). The AUROC (95% CI) of the models were based on LSM, 0.812 (0.739-0.885); and FAST, 0.825 (0.753-0.897) (p = 0.386).

CONCLUSIONS

For PLWH, advanced liver fibrosis increases the risk of overall death and liver-related death. LSM and the FAST score are similar predictors of survival for PLWH with potential for NAFLD.

The role of noninvasive biomarkers for monitoring cell injury in advanced liver fibrosis

INTRODUCTION

Accurate and reliable diagnosis and monitoring of hepatic fibrosis is increasingly important given the variable natural history in chronic liver disease (CLD) and expanding antifibrotic therapeutic options targeting reversibility of early-stage cirrhosis. This highlights the need to develop more refined and effective noninvasive techniques for the dynamic assessment of fibrogenesis and fibrolysis.

AREAS COVERED

We conducted a literature review on PubMed, from 1 December 1970, to 1 November 2024, to evaluate and compare available blood-based and imaging-based noninvasive tools for hepatic fibrosis diagnosis and monitoring. Simple scores such as FIB-4 and NAFLD fibrosis score are suitable for excluding significant or advanced fibrosis, while tertiary centers should adopt complex scores and liver stiffness measurement as part of a secondary diagnostic and more comprehensive evaluation. Moreover, the advent of multiomics for high-resolution molecular profiling, and integration of artificial intelligence for noninvasive diagnostics holds promise for revolutionizing fibrosis monitoring and treatment through novel biomarker discovery and predictive omics-based algorithms.

EXPERT OPINION

The increased shift toward noninvasive diagnostics for liver fibrosis needs to align with personalized medicine, enabling more effective, tailored management strategies for patients with liver disease in the future.

Quantification of Vascular Remodeling and Sinusoidal Capillarization to Assess Liver Fibrosis with Photoacoustic Imaging

Background Photoacoustic microscopy (PAM) can be used to detect strong absorption from endogenous and exogenous contrast material, making it promising for detailed structural and functional imaging of hepatic sinusoids, including dynamic visualization of permeability. Purpose To evaluate whether PAM-based quantitative parameters of liver function and integrity (lacunarity, blood oxygen saturation [Sao2], and Evans blue [EB] permeability) are associated with histopathologic indexes of fibrosis in a mouse model. Materials and Methods Between October 2022 and July 2023, a total of 35 male C57BL/6 mice were included in this study and received intraperitoneal injection of carbon tetrachloride to establish mouse models of progressive liver fibrosis, with seven mice in each group. PAM was performed to visualize vascular structure, Sao2 distribution, and EB penetration within the hepatic lobule. Histologic findings were used as the reference standard. Associations between the PAM parameters and the pathologic results were evaluated with Spearman rank correlation. Results Mean lacunarity, a PAM parameter, gradually increased with liver fibrosis stage (control: 0.018 arbitrary units [au] ± 0.004 [SD]; fibrosis: 1 week, 0.024 au ± 0.002; 2 weeks, 0.028 au ± 0.003; 4 weeks, 0.034 au ± 0.002; 10 weeks, 0.040 au ± 0.005; P < .001) and was positively correlated with collagen-positive area (Spearman r = 0.88-0.90; P < .001). PAM revealed that Sao2 decreased with disease progression (control, 0.921 au ± 0.017; 1 week, 0.875 au ± 0.019; 2 weeks, 0.846 au ± 0.020; 4 weeks, 0.802 au ± 0.025; 10 weeks, 0.732 au ± 0.036; P < .001) and was inversely related to hypoxia-inducible factor 1α expression (Spearman r = -0.83; P < .001). EB permeability, indicative of hepatic sinusoid capillarization, was reduced at advanced stages of fibrosis (control: 11.6% [IQR, 11.2%-11.8%]; fibrosis: 1 week, 24.8% [IQR, 23.3%-25.8%]; 2 weeks, 18.4% [IQR, 18.4%-20.0%]; 4 weeks, 5.1% [IQR, 4.9%-6.2%]; 10 weeks, 3.7% [IQR, 3.4%-4.5%]; P < .001). Conclusion PAM-based structural and functional parameters were associated with liver fibrosis severity, and PAM imaging of EB dynamics helped detect sinusoidal capillarization. © RSNA, 2025 Supplemental material is available for this article. See also the editorial by Li and Yao in this issue.

The evolving role of liver biopsy: Current applications and future prospects

Histopathologic evaluation of liver biopsy has played a longstanding role in the diagnosis and management of liver disease. However, the utility of liver biopsy has been questioned by some, given the improved imaging modalities, increased availability of noninvasive serologic tests, and development of artificial intelligence over the past several years. In this review, we discuss the current and future role of liver biopsy in both non-neoplastic and neoplastic liver diseases in the era of improved noninvasive laboratory, radiologic, and digital technologies.

Comparison of models to predict incident chronic liver disease: a systematic review and external validation in Chinese adults

BACKGROUND

Risk prediction models can identify individuals at high risk of chronic liver disease (CLD), but there is limited evidence on the performance of various models in diverse populations. We aimed to systematically review CLD prediction models, meta-analyze their performance, and externally validate them in 0.5 million Chinese adults in the China Kadoorie Biobank (CKB).

METHODS

Models were identified through a systematic review and categorized by the target population and outcomes (hepatocellular carcinoma [HCC] and CLD). The performance of models to predict 10-year risk of CLD was assessed by discrimination (C-index) and calibration (observed vs predicted probabilies).

RESULTS

The systematic review identified 57 articles and 114 models (28.4% undergone external validation), including 13 eligible for validation in CKB. Models with high discrimination (C-index ≥ 0.70) in CKB were as follows: (1) general population: Li-2018 and Wen 1-2012 for HCC, CLivD score (non-lab and lab) and dAAR for CLD; (2) hepatitis B virus (HBV) infected individuals: Cao-2021 for HCC and CAP-B for CLD. In CKB, all models tended to overestimate the risk (O:E ratio 0.55-0.94). In meta-analysis, we further identified models with high discrimination: (1) general population (C-index ≥ 0.70): Sinn-2020, Wen 2-2012, and Wen 3-2012 for HCC, and FIB-4 and Forns for CLD; (2) HBV infected individuals (C-index ≥ 0.80): RWS-HCC and REACH-B IIa for HCC and GAG-HCC for HCC and CLD.

CONCLUSIONS

Several models showed good discrimination and calibration in external validation, indicating their potential feasibility for risk stratification in population-based screening programs for CLD in Chinese adults.

Low-to-moderate alcohol consumption is associated with increased fibrosis in individuals with metabolic dysfunction-associated steatotic liver disease

BACKGROUND & AIMS

Both metabolic dysfunction and alcohol consumption cause steatotic liver disease (SLD). The distinction between metabolic dysfunction-associated SLD (MASLD) and MetALD categories is based on arbitrary thresholds of alcohol intake. Thus, we assessed the impact of different levels of alcohol consumption on SLD severity and their interaction with metabolic comorbidities.

METHODS

We performed a population-based study with transient elastography (FibroScan®) data from participants in Spain (derivation cohort) and the US (validation cohort). A controlled attenuation parameter ≥275 dB/m was used to define SLD. At least one cardiometabolic risk factor was required to define MASLD. Among patients with MASLD, low alcohol consumption was defined as an average of 5-9 drinks/week, moderate consumption as 10-13 drinks/week for females and 10-20 drinks/week for males, and increased alcohol intake (MetALD) as 14-35 drinks/week for females and 21-42 drinks/week for males. Significant fibrosis was defined as a liver stiffness measurement ≥8 kPa and at-risk metabolic dysfunction-associated steatohepatitis (MASH) as a FAST score ≥0.35.

RESULTS

The derivation cohort included 2,227 individuals with MASLD (9% reported low, 14% moderate alcohol consumption) and 76 cases with MetALD. Overall prevalences of significant fibrosis and at-risk MASH were 7.6% and 14.8%, respectively. In the multivariable analysis, alcohol consumption was independently associated with significant fibrosis and at-risk MASH. A dose-dependent increase in the prevalence of significant fibrosis and at-risk MASH was observed between the number of drinks/week and the number of cardiometabolic factors. The validation cohort included 1,732 participants with MASLD, of whom 17% had significant fibrosis and 13% at-risk MASH. This cohort validated the association between moderate intake and MASLD at risk of progression (odds ratio 1.69, 95% CI 1.06-2.71).

CONCLUSIONS

Moderate alcohol intake is commonly seen in MASLD and increases the risk of advanced disease to a level similar to that observed in MetALD.

IMPACT AND IMPLICATIONS

Metabolic risk factors such as overweight, diabetes or dyslipidemia, and alcohol consumption can cause liver disease. These factors frequently coexist, but their joint effects on liver fibrosis remain uncertain. In this study, we have analyzed individuals from the general population with MASLD (metabolic dysfunction-associated steatotic liver disease) enrolled in Spain and the US. We show that moderate alcohol consumption has a supra-additive effect with metabolic risk factors, exponentially increasing the risk of liver fibrosis. These results suggest that there are no safe limits of daily alcohol intake in patients with unhealthy metabolic status and MASLD.

Comparison of different noninvasive scores for assessing hepatic fibrosis in a cohort of chronic hepatitis C patients

The continuous search for simple, noninvasive methods for assessing liver fibrosis remains very important to help risk-stratify and follow-up patients with chronic hepatitis C virus (HCV). This study aimed to evaluate the diagnostic performance and accuracy of six serological noninvasive scores for the assessment of liver fibrosis in comparison to liver histopathology. This retrospective cohort study included data from 19501 patients with chronic HCV infection who had liver biopsies as an HCV treatment prerequisite within the Egyptian national HCV treatment program. Six noninvasive scores (FIB-4, APRI, King's score, Fibro-Q, fibrosis index, Fibro-α score) were evaluated and compared to liver histopathology data in assessing different stages of liver fibrosis. The diagnostic performance for each score was assessed using the area under the receiver-operating characteristic curve (AUROC). All six noninvasive scores were statistically significant for predicting different stages of liver fibrosis. Four scores (FIB-4, King's score, APRI, and Fibro Q) had a better diagnostic performance for predicting different fibrosis stages. FIB-4, followed by the King's score, performs better in identifying patients with advanced fibrosis at cutoffs of 2.01 and 16.7, respectively, with AUROC of 0.71 for both, and in predicting cirrhosis at cutoffs of 2.21 and 17.4, respectively with AUROC 0.82 for both. Using noninvasive scores for fibrosis assessment is very important, especially in limited resource settings, to rapidly stratify patients who need more specialized care.

Guideline for the Prevention and Treatment of Metabolic Dysfunction-associated Fatty Liver Disease (Version 2024)

With the rising epidemic of obesity, metabolic syndrome, and type 2 diabetes mellitus in China, metabolic dysfunction-associated non-alcoholic fatty liver disease has become the most prevalent chronic liver disease. This condition frequently occurs in Chinese patients with alcoholic liver disease and chronic hepatitis B. To address the impending public health crisis of non-alcoholic fatty liver disease and its underlying metabolic issues, the Chinese Society of Hepatology and the Chinese Medical Association convened a panel of clinical experts to revise and update the "Guideline of prevention and treatment of non-alcoholic fatty liver disease (2018, China)". The new edition, titled "Guideline for the prevention and treatment of metabolic dysfunction-associated fatty liver disease (Version 2024)", offers comprehensive recommendations on key clinical issues, including screening and monitoring, diagnosis and evaluation, treatment, and follow-up for metabolic dysfunction-associated fatty liver disease and metabolic dysfunction-associated steatotic liver disease. Metabolic dysfunction-associated fatty liver disease is now the preferred English term and is used interchangeably with metabolic dysfunction-associated steatotic liver disease. Additionally, the guideline emphasizes the importance of multidisciplinary collaboration among hepatologists and other specialists to manage cardiometabolic disorders and liver disease effectively.

[Serological Markers to Assess Liver Fibrosis and Their Roles]

Chronic liver disease is a significant public health issue worldwide, with the degree of liver fibrosis and its progression significantly influencing the treatment and prognosis. A liver biopsy is the standard diagnostic method, but it is invasive and presents various issues. Therefore, numerous non-invasive diagnostic methods have been developed. Serum markers are categorized into indirect markers, which reflect liver damage, inflammation, or functional changes, and direct markers, which measure the components released into the bloodstream during fibrosis. In addition, various kinds of formulas that combined direct/indirect markers and demographic variables were developed and validated with encouraging outcomes. Nevertheless, despite their convenience, serum indicators require cautious interpretation because they are affected by a number of factors. More research will be needed to determine if the clinical course of chronic liver disease under a disease-specific treatment could be monitored appropriately using serological markers.

Noninvasive Tests in Assessment of Patients with Alcohol-Associated Liver Disease

Alcohol-associated liver disease (ALD) remains a significant public health concern, accounting for at least half of cirrhosis cases in Europe. Historically, liver biopsy has been considered the gold standard method for both diagnosing and staging ALD. However, in the past 3 decades, there has been a growing interest in developing noninvasive biomarkers for identifying high-risk patients prone to develop liver-related complications, including elastography methods or blood-based biomarkers. This review aims to summarize currently available noninvasive testing methods that are clinically available for assessing patients with ALD, including notably steatosis and fibrosis.

Clinical care guidance in patients with diabetes and metabolic dysfunction-associated steatotic liver disease: A joint consensus

Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most prevalent chronic liver disease worldwide, affecting >30% of the global population. Metabolic dysregulation, particularly insulin resistance and its subsequent manifestation as type 2 diabetes mellitus, serves as the fundamental pathogenesis of metabolic liver disease. Clinical evidence of the recent nomenclature evolution is accumulating. The interaction and impacts are bidirectional between MASLD and diabetes in terms of disease course, risk, and prognosis. Therefore, there is an urgent need to highlight the multifaceted links between MASLD and diabetes for both hepatologists and diabetologists. The surveillance strategy, risk stratification of management, and current therapeutic achievements of metabolic liver disease remain the major pillars in a clinical care setting. Therefore, the Taiwan Association for the Study of the Liver (TASL), Taiwanese Association of Diabetes Educators, and Diabetes Association of the Republic of China (Taiwan) collaboratively completed the first guidance in patients with diabetes and MASLD, which provides practical recommendations for patient care.

Pregnancy cholestasis typically occurs in the third trimester of pregnancy and is a significant clinical condition

AIM

The aim of this study is to determine the albumin/bilirubin ratio index and the aspartate aminotransferase (AST)/alanine aminotransferase ratio (ALT) index in patients diagnosed with cholestasis during pregnancy, and to demonstrate their correlation with liver damage. Additionally, potential strategies to prevent liver damage will be elucidated.

MATERIALS AND METHOD

Our study is a retrospective study. A total of 4019 pregnant women aged between 18 and 40 years, presenting with itching complaints at 32-36 weeks of gestation, were screened at the Department of Obstetrics and Gynecology, Istanbul Training and Research Hospital of Health Sciences University between January 1, 2018, and December 31, 2023. Among them, 104 pregnant women without any other accompanying diseases were diagnosed with Gestational Cholestasis. Among the 104 diagnosed women, 78 met the inclusion criteria and were included in the study. Twenty-six women were excluded from the study due to missing albumin and total bilirubin values or due to blood samples being taken at different times. The serum albumin/bilirubin ratio index and the alanine aminotransferase/aspartate aminotransferase ratio index were calculated and statistically compared between pregnant women diagnosed with cholestasis and healthy pregnant women at the same gestational week.

FINDINGS

We found that AST, ALT, albumin, and total bilirubin levels were significantly higher in pregnant women diagnosed with cholestasis compared to the control group (p < 0.05). The AST/ALT index in the case group was significantly lower compared to the control group. However, there were no significant differences found between the case and control groups regarding the albumin/total bilirubin index and ALBI grade. When comparing ALBI grades in cases, no significant differences were found in terms of patients' age, gestational week, AST, ALT, and AST/ALT index. When compared according to ALBI grades, the albumin level was higher in patients with ALBI grade I compared to grade II, and in patients with grade II compared to grade III. The total bilirubin level was significantly higher in patients with ALBI grade III compared to grades I and II, but there was no significant difference between grades I and II. No significant differences were found among the groups separated according to ALBI grades when FBA values were compared.

CONCLUSION

In this study, the negative correlation between lower AST/ALT ratio and FBA values in patients with severe cholestasis suggests the need for careful consideration regarding future liver damage. The lack of difference in ALBI score between the case and control groups, as well as the absence of correlation with FBA values, indicates the necessity to evaluate ALBI score based on patients' long-term prognosis.

Novel Biomarkers for Early Detection of Hepatocellular Carcinoma

Hepatocellular carcinoma (HCC) is a leading cause of cancer mortality globally. Most patients present with late diagnosis, leading to poor prognosis. This narrative review explores novel biomarkers for early HCC detection. We conducted a comprehensive literature review analyzing protein, circulating nucleic acid, metabolite, and quantitative proteomics-based biomarkers, evaluating the advantages and limitations of each approach. While established markers like alpha-fetoprotein (AFP), des-gamma-carboxy prothrombin, and AFP-L3 remain relevant, promising candidates include circulating tumor DNA, microRNAs, long noncoding RNAs, extracellular vesicle, and metabolomic biomarkers. Multi-biomarker panels like the GALAD score, Oncoguard, and Helio liver test show promise for improved diagnostic accuracy. Non-invasive approaches like urine and gut microbiome analysis are also emerging possibilities. Integrating these novel biomarkers with current screening protocols holds significant potential for earlier HCC detection and improved patient outcomes. Future research should explore multi-biomarker panels, omics technologies, and artificial intelligence to further enhance early HCC diagnosis and management.

Investigating the correlation between polyunsaturated fatty acids intake and non-invasive biomarkers of liver fibrosis

BACKGROUND

Polyunsaturated fatty acids (PUFAs) have potentially beneficial effects on the liver tissue. Noninvasive biomarkers, including imaging techniques and blood-based biomarkers, are important tools for assessing liver fibrosis. This study aims to investigate the relationship between dietary intake of PUFAs and noninvasive biomarkers for liver fibrosis in the general population.

METHODS

The National Health and Nutrition Examination Survey 2017-2018 (NHANES 2017-2018) datasets were used. Fibrosis-4 index (FIB-4), FIB-8, and Fatty Liver Index (FLI) were calculated for each subject. The fibrosis groups were compared based on their intake of PUFA. The correlation between each score and PUFA intake was calculated. Correlation analysis was performed.

RESULTS

A total of 5087 subjects (50.36% female) with a mean age of 49.37 ± 12.14 were evaluated. The mean of median liver stiffness measurement (LSM) was 5.92 ± 5.20 kPa (kPa). The mean PUFA intake was reported as 20.2 ± 13.9 gm. Fibrosis (F) grouping revealed that 190 subjects had F3, and 154 F4. HDL had a significant correlation with Docosapentaenoic acid (DPA) intake (r = -0.038, p = 0.007). Moreover, AST and ALT had a significant correlation with Docosahexaenoic acid (DHA) intake (r = 0.033 and 0.059, p = 0.019 and < 0.001, respectively). FIB-4 and FIB-8 had no correlation with PUFA intake. FLI had a significant correlation with DPA acid (r = 0.062, p < 0.001).

CONCLUSION

A significant correlation between FLI, and PUFA intake suggests that increasing PUFA consumption could have a positive impact on liver health.

Multi-dimensional microfluidic paper-based analytical devices (μPADs) for noninvasive testing: A review of structural design and applications

The rapid emergence of microfluidic paper-based devices as point-of-care testing (POCT) tools for early disease diagnosis and health monitoring, particularly in resource-limited areas, holds immense potential for enhancing healthcare accessibility. Leveraging the numerous advantages of paper, such as capillary-driven flow, porous structure, hydrophilic functional groups, biodegradability, cost-effectiveness, and flexibility, it has become a pivotal choice for microfluidic substrates. The repertoire of microfluidic paper-based devices includes one-dimensional lateral flow assays (1D LFAs), two-dimensional microfluidic paper-based analytical devices (2D μPADs), and three-dimensional (3D) μPADs. In this comprehensive review, we provide and examine crucial information related to paper substrates, design strategies, and detection methods in multi-dimensional microfluidic paper-based devices. We also investigate potential applications of microfluidic paper-based devices for detecting viruses, metabolites and hormones in non-invasive samples such as human saliva, sweat and urine. Additionally, we delve into capillary-driven flow alternative theoretical models of fluids within the paper to provide guidance. Finally, we critically examine the potential for future developments and address challenges for multi-dimensional microfluidic paper-based devices in advancing noninvasive early diagnosis and health monitoring. This article showcases their transformative impact on healthcare, paving the way for enhanced medical services worldwide.

Heterogeneous Pathological Changes in Liver Lobes During Liver Disease: A Perspective Review

Liver diseases have a global prevalence of 25%, accounting for 4% of all deaths worldwide, and are associated with a 36% increased risk of fatal and nonfatal cardiovascular events. Metabolic dysfunction-associated steatotic liver disease constitutes the liver expression of metabolic syndrome and represents the primary type of liver disease. Microscopical analysis of biopsies, which allows the evaluation of a small portion of tissue with inferences made to the entire organ, is considered the gold standard for determining the presence of liver diseases. However, potential sampling errors in liver biopsies are conceivable because the obtained tissue represents only a tiny fraction of the entire liver mass and may not accurately reflect the true pathological state. Studies have demonstrated the existence of sampling errors in liver biopsies, particularly concerning the severity of inflammation, degree of fibrosis, and the presence of cirrhosis. Also, clinical studies have shown that histopathological abnormalities are better detected in humans when liver samples are collected from both the right and the left lobes. However, a gap exists in clinical investigation to clarify the role of differences between these lobes in improving the diagnostic and prognostic for liver diseases. Building upon the heterogeneous nature of pathological alterations observed in liver lobes, this perspective review provided recommendations to enhance the precision of diagnosis and prognostic accuracy of liver diseases.

Early detection of hepatobiliary involvement in cystic fibrosis: Biomarkers, radiologic methods, and genetic influences

Cystic fibrosis-related hepatobiliary involvement (CFHBI) is a term used to describe a spectrum of hepatobiliary involvement ranging from a transient elevation of transaminase levels to advanced cystic fibrosis-associated liver disease (aCFLD). While CFHBI is common among people with cystic fibrosis (PwCF), aCFLD is rare impacting only approximately 5%-10% of the CF population. After respiratory/cardiorespiratory issues and transplant-related complications, aCFLD is now the 4th leading cause of mortality among PwCF. Additionally, aCFLD is an independent predictor of all-cause mortality and is associated with significant morbidity. Despite this recognition, our ability to predict those patients at greatest risk for aCFLD, identify early aCFLD, and monitor the incremental progression of CFHBI is lacking. Here, we review the strengths and weaknesses of the common biomarkers and imaging modalities used in the evaluation and monitoring of CFHBI, as well as the current understanding of genetic modifiers related to aCFLD.

Exploring hepatic fibrosis screening via deep learning analysis of tongue images

Background

Tongue inspection, an essential diagnostic method in Traditional Chinese Medicine (TCM), has the potential for early-stage disease screening. This study aimed to evaluate the effectiveness of deep learning-based analysis of tongue images for hepatic fibrosis screening.

Methods

A total of 1083 tongue images were collected from 741 patients and divided into training, validation, and test sets. DenseNet-201, a convolutional neural network, was employed to train the AI model using these tongue images. The predictive performance of AI was assessed and compared with that of FIB-4, using real-time two-dimensional shear wave elastography as the reference standard.

Results

The proposed AI model achieved an accuracy of 0.845 (95% CI: 0.79-0.90) and 0.814 (95% CI: 0.76-0.87) in the validation and test sets, respectively, with negative predictive values (NPVs) exceeding 90% in both sets. The AI model outperformed FIB-4 in all aspects, and when combined with FIB-4, the NPV reached 94.4%.

Conclusion

Tongue inspection, with the assistance of AI, could serve as a first-line screening method for hepatic fibrosis.

Prevalence of clinically significant liver fibrosis in the general population: A systematic review and meta-analysis

BACKGROUND/AIMS

Although important, clinically significant liver fibrosis is often overlooked in the general population. We aimed to examine the prevalence of clinically significant liver fibrosis using noninvasive tests (NITs) in the general population.

METHODS

We collected data from four databases (MEDLINE, Embase, Cochrane Library, and KoreaMed) from inception to June 13, 2023. Original articles reporting the prevalence of clinically significant liver fibrosis in the general population were included. The Stata metaprop function was used to obtain the pooled prevalence of liver fibrosis with NITs in the general population.

RESULTS

We screened 6,429 articles and included 45 eligible studies that reported the prevalence of clinically significant liver fibrosis in the general population. The prevalence of advanced liver fibrosis, using the high probability cutoff of the fibrosis-4 (FIB-4) index, was 2.3% (95% confidence interval [CI], 1.2-3.7%). The prevalence of significant liver fibrosis, advanced liver fibrosis, and liver cirrhosis, assessed using vibration-controlled transient elastography (VCTE) among the general population, was 7.3% (95% CI, 5.9-8.8%), 3.5% (95% CI, 2.7-4.5), and 1.2% (95% CI, 0.8-1.8%), respectively. Region-based subgroup analysis revealed that the highest prevalence of advanced fibrosis using the high probability cutoff of the FIB-4 index was observed in the American region. Furthermore, the American region exhibited the highest prevalence of significant liver fibrosis, advanced liver fibrosis, and liver cirrhosis, using VCTE.

CONCLUSION

Previously undiagnosed clinically significant liver fibrosis is found in the general population through NITs. Future research is necessary to stratify the risk in the general population.

EASL-EASD-EASO Clinical Practice Guidelines on the management of metabolic dysfunction-associated steatotic liver disease (MASLD)

Metabolic dysfunction-associated steatotic liver disease (MASLD), previously termed non-alcoholic fatty liver disease (NAFLD), is defined as steatotic liver disease (SLD) in the presence of one or more cardiometabolic risk factor(s) and the absence of harmful alcohol intake. The spectrum of MASLD includes steatosis, metabolic dysfunction-associated steatohepatitis (MASH, previously NASH), fibrosis, cirrhosis and MASH-related hepatocellular carcinoma (HCC). This joint EASL-EASD-EASO guideline provides an update on definitions, prevention, screening, diagnosis and treatment for MASLD. Case-finding strategies for MASLD with liver fibrosis, using non-invasive tests, should be applied in individuals with cardiometabolic risk factors, abnormal liver enzymes, and/or radiological signs of hepatic steatosis, particularly in the presence of type 2 diabetes (T2D) or obesity with additional metabolic risk factor(s). A stepwise approach using blood-based scores (such as FIB-4) and, sequentially, imaging techniques (such as transient elastography) is suitable to rule-out/in advanced fibrosis, which is predictive of liver-related outcomes. In adults with MASLD, lifestyle modification - including weight loss, dietary changes, physical exercise and discouraging alcohol consumption - as well as optimal management of comorbidities - including use of incretin-based therapies (e.g. semaglutide, tirzepatide) for T2D or obesity, if indicated - is advised. Bariatric surgery is also an option in individuals with MASLD and obesity. If locally approved and dependent on the label, adults with non-cirrhotic MASH and significant liver fibrosis (stage ≥2) should be considered for a MASH-targeted treatment with resmetirom, which demonstrated histological effectiveness on steatohepatitis and fibrosis with an acceptable safety and tolerability profile. No MASH-targeted pharmacotherapy can currently be recommended for the cirrhotic stage. Management of MASH-related cirrhosis includes adaptations of metabolic drugs, nutritional counselling, surveillance for portal hypertension and HCC, as well as liver transplantation in decompensated cirrhosis.

AI Digital Pathology Using qFibrosis Shows Heterogeneity of Fibrosis Regression in Patients with Chronic Hepatitis B and C with Viral Response

This study aimed to understand the dynamic changes in fibrosis and its relationship with the evaluation of post-treatment viral hepatitis using qFibrosis. A total of 158 paired pre- and post-treatment liver samples from patients with chronic hepatitis B (CHB; n = 100) and C (CHC; n = 58) were examined. qFibrosis was employed with artificial intelligence (AI) to analyze the fibrosis dynamics in the portal tract (PT), periportal (PP), midzonal, pericentral, and central vein (CV) regions. All patients with CHB achieved a virological response after 78 weeks of treatment, whereas patients with CHC achieved a sustained viral response after 24 weeks. For patients initially staged as F5/6 (Ishak system) at baseline, the post-treatment cases exhibited a significant reduction in the collagen proportionate area (CPA) (25-69%) and number of collagen strings (#string) (9-72%) across all regions. In contrast, those initially staged as F3/4 at baseline showed a similar CPA and #string trend at 24 weeks. For regression patients, 27 parameters (25 in the CV region) in patients staged as F3/4 and 15 parameters (three in the PT and 12 in the PP regions) in those staged as F5/6 showed significant differences between the CHB and CHC groups at baseline. Following successful antiviral treatment, the pre- and post-treatment liver samples provided quantitative evidence of the heterogeneity of fibrotic features. qFibrosis has the potential to provide new insights into the characteristics of fibrosis regression in both patients with CHB and CHC as early as 24 weeks after antiviral therapy.

Noninvasive Assessment of Portal Hypertension

The progressive use of noninvasive tests (NITs) has changed the way hepatologists diagnose and manage patients with chronic liver disease, mainly because of their easiness to use and the ability to be repeated during follow-up. Liver stiffness measurement is the NIT with more scientific evidence. NITs have demonstrated to be useful to detect not only liver fibrosis but also the presence of clinically significant portal hypertension. Moreover, current evidence supports they can also be useful to evaluate the prognosis of patients with chronic liver disease.

Advancements of non‐invasive imaging technologies for the diagnosis and staging of liver fibrosis: Present and future

Liver fibrosis is a reparative response triggered by liver injury. Non‐invasive assessment and staging of liver fibrosis in patients with chronic liver disease are of paramount importance, as treatment strategies and prognoses depend significantly on the degree of fibrosis. Although liver fibrosis has traditionally been staged through invasive liver biopsy, this method is prone to sampling errors, particularly when biopsy sizes are inadequate. Consequently, there is an urgent clinical need for an alternative to biopsy, one that ensures precise, sensitive, and non‐invasive diagnosis and staging of liver fibrosis. Non‐invasive imaging assessments have assumed a pivotal role in clinical practice, enjoying growing popularity and acceptance due to their potential for diagnosing, staging, and monitoring liver fibrosis. In this comprehensive review, we first delved into the current landscape of non‐invasive imaging technologies, assessing their accuracy and the transformative impact they have had on the diagnosis and management of liver fibrosis in both clinical practice and animal models. Additionally, we provided an in‐depth exploration of recent advancements in ultrasound imaging, computed tomography imaging, magnetic resonance imaging, nuclear medicine imaging, radiomics, and artificial intelligence within the field of liver fibrosis research. We summarized the key concepts, advantages, limitations, and diagnostic performance of each technique. Finally, we discussed the challenges associated with clinical implementation and offer our perspective on advancing the field, hoping to provide alternative directions for the future research.

Opportunities and barriers in omics-based biomarker discovery for steatotic liver diseases

The rising prevalence of liver diseases related to obesity and excessive use of alcohol is fuelling an increasing demand for accurate biomarkers aimed at community screening, diagnosis of steatohepatitis and significant fibrosis, monitoring, prognostication and prediction of treatment efficacy. Breakthroughs in omics methodologies and the power of bioinformatics have created an excellent opportunity to apply technological advances to clinical needs, for instance in the development of precision biomarkers for personalised medicine. Via omics technologies, biological processes from the genes to circulating protein, as well as the microbiome - including bacteria, viruses and fungi, can be investigated on an axis. However, there are important barriers to omics-based biomarker discovery and validation, including the use of semi-quantitative measurements from untargeted platforms, which may exhibit high analytical, inter- and intra-individual variance. Standardising methods and the need to validate them across diverse populations presents a challenge, partly due to disease complexity and the dynamic nature of biomarker expression at different disease stages. Lack of validity causes lost opportunities when studies fail to provide the knowledge needed for regulatory approvals, all of which contributes to a delayed translation of these discoveries into clinical practice. While no omics-based biomarkers have matured to clinical implementation, the extent of data generated has enabled the hypothesis-free discovery of a plethora of candidate biomarkers that warrant further validation. To explore the many opportunities of omics technologies, hepatologists need detailed knowledge of commonalities and differences between the various omics layers, and both the barriers to and advantages of these approaches.

Metabolic dysfunction-associated steatotic liver disease and diabetes: the cross-talk between hepatologist and diabetologist

INTRODUCTION

Metabolic dysfunction-associated steatotic liver disease (MASLD) and type 2 diabetes mellitus (DM) are the most prevalent metabolic disorders globally. The numbers affected in both disorders are also rapidly increasing with alarming trends in children and young adults.

AREAS COVERED

Insulin resistance (IR) and the subsequent metabolic dysregulation are the fundamental pathogenesis pathways of the prevalent metabolic disorders. The interaction and impacts are bidirectional between MASLD and DM in terms of disease mechanisms, disease course, risks, and prognosis. There's a pressing issue for highlighting the links between MASLD and DM for both care specialists and primary care providers. The review collected the scientific evidence addressing the mutual interactions between the two disorders. The strategies for surveillance, risk stratification, and management are discussed in a practical manner. It also provides individualized viewpoints of patient care in hepatology and diabetology.

EXPERT OPINION

Both MASLD and DM shared similar disease mechanisms, and affected the disease development and progression in a bidirectional manner. The high prevalence and the cross-link between the two disorders raise clinical issues from awareness, screening, risk stratification, optimal referral, to appropriate management for primary care providers.