Biochemical markers of liver fibrosis in patients with hepatitis C virus infection: a prospective study

Autoantibodies to apolipoprotein A-I in hepatitis C virus infection: a role in disease progression?

Background

Chronic HCV (CHC) infection is associated with autoimmunity. IgG autoantibodies to apolipoprotein A-I (AAA-I) predict all-cause mortality. We evaluated AAA-I in CHC patients and in those who were not viraemic, either because of spontaneous resolution (SR) of infection or HCV clearance following sustained virological response (SVR) after interferon therapy. We limited the study to HCV genotypes 1 and 3, the dominant HCV genotypes circulating in the UK.

Methods

Serum samples from 126 CHC patients and 114 nonviraemic individuals (25 SR and 89 SVR) were assayed for AAA-I and lipoproteins. AUC was calculated for AAA-I and HDL-related parameters and used to predict cirrhosis. Fibronectin (FN) and FN-mRNA were measured in human hepatic stellate cells (LX-2) in the presence or absence of AAA-I.

Results

AAA-I was found in 47% of patients with CHC, 37% of SVR patients, and 16% of SR individuals (CHC vs. SR, p = 0.004). AAA-I levels in CHC patients were higher in those with cirrhosis (p = 0.0003). The AUC for AAA-I, apoA-I, and HDL-C in predicting cirrhosis was 0.72 (p < 0.001), 0.65 (p = 0.01), and 0.64 (p = 0.02). After 48 h in the presence of AAA-I, LX-2 cells showed an 80% increase in FN-mRNA compared to the LX-2/IgG control (p = 0.028) and higher levels of FN (p = 0.0016).

Conclusions

CHC is often associated with AAA-I, and these can persist after SVR. AAA-I is a robust predictor of cirrhosis in CHC infection. LX-2 cells exposed to AAA-I showed increased FN. Further studies are warranted to define the role of AAA-I in promoting not only viral persistence but also fibrosis.

The Value of Clinical Decision Support in Healthcare: A Focus on Screening and Early Detection

In a rapidly changing technology landscape, "Clinical Decision Support" (CDS) has become an important tool to improve patient management. CDS systems offer medical professionals new insights to improve diagnostic accuracy, therapy planning, and personalized treatment. In addition, CDS systems provide cost-effective options to augment conventional screening for secondary prevention. This review aims to (i) describe the purpose and mechanisms of CDS systems, (ii) discuss different entities of algorithms, (iii) highlight quality features, and (iv) discuss challenges and limitations of CDS in clinical practice. Furthermore, we (v) describe contemporary algorithms in oncology, acute care, cardiology, and nephrology. In particular, we consolidate research on algorithms across diseases that imply a significant disease and economic burden, such as lung cancer, colorectal cancer, hepatocellular cancer, coronary artery disease, traumatic brain injury, sepsis, and chronic kidney disease.

Accuracy of blood-based biomarkers for staging liver fibrosis in chronic liver disease: A systematic review supporting the AASLD Practice Guideline

BACKGROUND AND AIMS

Blood-based biomarkers have been proposed as an alternative to liver biopsy for noninvasive liver disease assessment in chronic liver disease. Our aims for this systematic review were to evaluate the diagnostic utility of selected blood-based tests either alone, or in combination, for identifying significant fibrosis (F2-4), advanced fibrosis (F3-4), and cirrhosis (F4), as compared to biopsy in chronic liver disease.

APPROACH AND RESULTS

We included a comprehensive search of databases including Ovid MEDLINE(R), EMBASE, Cochrane Database, and Scopus through to April 2022. Two independent reviewers selected 286 studies with 103,162 patients. The most frequently identified studies included the simple aspartate aminotransferase-to-platelet ratio index and fibrosis (FIB)-4 markers (with low-to-moderate risk of bias) in HBV and HCV, HIV-HCV/HBV coinfection, and NAFLD. Positive (LR+) and negative (LR-) likelihood ratios across direct and indirect biomarker tests for HCV and HBV for F2-4, F3-4, or F4 were 1.66-6.25 and 0.23-0.80, 1.89-5.24 and 0.12-0.64, and 1.32-7.15 and 0.15-0.86, respectively; LR+ and LR- for NAFLD F2-4, F3-4, and F4 were 2.65-3.37 and 0.37-0.39, 2.25-6.76 and 0.07-0.87, and 3.90 and 0.15, respectively. Overall, the proportional odds ratio indicated FIB-4 <1.45 was better than aspartate aminotransferase-to-platelet ratio index <0.5 for F2-4. FIB-4 >3.25 was also better than aspartate aminotransferase-to-platelet ratio index >1.5 for F3-4 and F4. There was limited data for combined tests.

CONCLUSIONS

Blood-based biomarkers are associated with small-to-moderate change in pretest probability for diagnosing F2-4, F3-4, and F4 in viral hepatitis, HIV-HCV coinfection, and NAFLD, with limited comparative or combination studies for other chronic liver diseases.

[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.

Implementation of Machine Learning Algorithms to Screen for Advanced Liver Fibrosis in Metabolic Dysfunction-Associated Steatotic Liver Disease: An In-Depth Explanatory Analysis

INTRODUCTION

This study aimed to train machine learning algorithms (MLAs) to detect advanced fibrosis (AF) in metabolic dysfunction-associated steatotic liver disease (MASLD) patients at the level of primary care setting and to explain the predictions to ensure responsible use by clinicians.

METHODS

Readily available features of 618 MASLD patients followed up at a tertiary center were used to train five MLAs. AF was defined as liver stiffness ≥9.3 kPa, measured via 2-dimension shear wave elastography (n = 495) or liver biopsy ≥F3 (n = 123). MLAs were compared to Fibrosis-4 index (FIB-4) and non-alcoholic fatty liver disease (NAFLD) fibrosis score (NFS) on 540 MASLD patients from the primary care setting as validation. Feature importance, partial dependence, and shapely additive explanations (SHAPs) were utilized for explanation.

RESULTS

Extreme gradient boosting (XGBoost) achieved an AUC = 0.91, outperforming FIB-4 (AUC = 0.78) and NFS (AUC = 0.81, both p < 0.05) with specificity = 76% versus 59% and 48% for FIB-4 ≥1.3 and NFS ≥-1.45, respectively (p < 0.05). Its sensitivity (91%) was superior to FIB-4 (79%). XGBoost confidently excluded AF (negative predictive value = 99%) with the highest positive predictive value (31%), superior to FIB-4 and NFS (all p < 0.05). The most important features were HbA1c and gamma glutamyl transpeptidase (GGT) with a steep increase in AF probability at HbA1c >6.5%. The strongest interaction was between AST and age. XGBoost, but not logistic regression, extracted informative patterns from ALT, low-density lipoprotein cholesterol, and alkaline phosphatase (p < 0.001). One-quarter of the false positives (FPs) were correctly reclassified with only one additional false negative based on the SHAP values of GGT, platelets, and ALT which were found to be associated with a FP classification.

CONCLUSIONS

An explainable XGBoost algorithm was demonstrated superior to FIB-4 and NFS for screening of AF in MASLD patients at the primary care setting. The algorithm also proved safe for use as clinicians can understand the predictions and flag FP classifications.

Liver Fibrosis Leading to Cirrhosis: Basic Mechanisms and Clinical Perspectives

Liver fibrosis is the pathological deposition of extracellular matrix rich in fibrillar collagen within the hepatocytes in response to chronic liver injury due to various causes. As the condition advances, it can progress to cirrhosis, the late stages of which are irreversible. Multiple pathophysiological mechanisms and cell types are responsible for the progression of liver fibrosis and cirrhosis. Hepatic stellate cells and myofibroblast activation represent a key event in fibrosis. Capillarization of liver sinusoidal endothelial cells further contributes to extracellular matrix deposition and an increase in portal pressure. Macrophages and neutrophils produce inflammatory cytokines and participate in activating hepatic stellate cells. Although initially believed to be irreversible, early stages of fibrosis are now found to be reversible. Furthermore, advances in noninvasive imaging and serum studies have changed and improved how cirrhosis can be evaluated and monitored. Although there are currently no specific approved therapies to reverse liver fibrosis, management of underlying diseases has been found to halt the progression, and to an extent, even reverse liver fibrosis, preventing further liver injury and cirrhosis-related complications.

A Validation Study of Non-invasive Scoring Systems for Assessing Severity of Hepatic Fibrosis in a Cohort of South Indian Patients With Non-alcoholic Fatty Liver Disease

Introduction

Liver biopsy is the gold standard for diagnosing and staging non-alcoholic fatty liver disease (NAFLD), but liver biopsy has its limitations. Non-invasive tests (NITs) eliminate many of the drawbacks of liver biopsy. We did a retrospective observational study to validate the NAFLD Fibrosis Score (NFS score) and Fibrosis Score 4 (FIB-4 index) against the gold standard liver biopsy in a cohort of South Indian patients with NAFLD.

Aims

The aim of this study was to validate the diagnostic accuracy of non-invasive fibrosis scoring systems (FIB-4 index and NFS), compared to that of liver histology, to predict AF in a cohort of south Indian patients with NAFLD.

Material and methods

A retrospective observational analytical study of patients who had a liver biopsy with a diagnosis of NAFLD and had all the data for aetiology assessment and NIT calculation within 4 weeks of biopsy were included in the study. On liver biopsy, NAFLD was scored as per NIH's NASH committee grading system. NFS and FIB-4 index were calculated, and scores more than 0.676 and 2.67, respectively, were taken as the cut-off to predict advanced fibrosis (AF). The sensitivity, specificity, positive predictive value, negative predictive value, and area under the receiver operating characteristic curve for NFS score and FIB-4 score to diagnose AF were calculated.

Results

A total of 147 patients were included in the study. Of these, 56 (38.1%) patients had AF (Stage 3, 4). Patients with AF were more likely to be older and have diabetes mellitus (DM). Patients with AF had lower platelet count, higher aspartate aminotransferase (AST), lower albumin, and higher AST/alanine aminotransferase ratio. An NFS of >0.676 had a sensitivity of 68% and specificity of 100%, and an FIB-4 index of >2.67 had a sensitivity of 67% and specificity of 95.6 % in diagnosing AF in our study.

Conclusion

The non-invasive scoring systems NFS and FIB-4 index can be used as a bedside tool for diagnosing liver fibrosis in NAFLD allowing liver biopsy to be used in a more targeted manner for patients diagnosed with AF on NITs.

Pediatric Perspectives on Liver Cirrhosis: Unravelling Clinical Patterns and Therapeutic Challenges

Background: Liver cirrhosis presents significant challenges in the pediatric population due to a complex interplay of etiological factors, clinical manifestations, and limited therapeutic options. The leading contributors to cirrhosis among pediatric patients are chronic cholestasis, metabolic disorders present from birth, and long-term hepatitis. Materials and method: Our narrative review aimed to synthesize literature data on the etiology, clinical picture, diagnostic techniques, optimal management of complications, and timely transplantation. Results: The epidemiology of liver cirrhosis in pediatric patients is evolving. The introduction of a universal vaccination and effective long-term viral suppression in viral hepatitis have significantly decreased complications rates. Liver transplantation programs worldwide have also improved the management of cirrhosis complications. Conclusions: Early diagnosis, comprehensive management strategies, and advancements in treatment modalities are critical for improving outcomes. Understanding these differences is crucial in providing age-appropriate care and support for those affected by cirrhosis.

The non-invasive serum biomarkers contributes to indicate liver fibrosis staging and evaluate the progress of chronic hepatitis B

BACKGROUND

This study aimed to evaluate the diagnostic abilities of the non-invasive serum biomarkers to predict liver fibrosis staging and evaluate the progress of hepatitis B.

METHODS

We enrolled 433 patients with chronic HBV infection had complete medical data available for the study, who underwent percutaneous liver biopsy. The extent of fibrosis was assessed using the modified METAVIR score. The predictive values of the non-invasive serum biomarkers were evaluated by the areas under the receiving operator characteristics curves (AUROCs) with 95% confidence intervals.

RESULTS

The proportion of males with progressive stages of liver fibrosis was relatively larger, and the average age of patients with cirrhosis stages is older than the non-cirrhotic stages. We found PLT, GGT, ALP, TB, FIB4 and GPR to be significantly associated with liver fibrosis in our cohort. GGT showed a sensitivity of 71.4% and specificity of 76.7% in distinguishing cirrhosis (F4) from non-cirrhotic stages (F1-3), with an AUROC of 0.775 (95%CI 0.711-0.840).The AUROCs of the GPR in distinguishing cirrhosis (F4) from non-cirrhotic stages (F1-3) was 0.794 (95%CI 0.734-0.853), but it had a lower sensitivity of 59.2%. Additionally, GGT, FIB4, and GPR could differentiate advanced fibrosis (F3-4) from non-advanced fibrosis (F1-2) among individuals with chronic hepatitis B, with AUROCs of 0.723 (95%CI 0.668-0.777), 0.729 (95%CI 0.675-0.782), and 0.760 (95%CI: 0.709-0.811) respectively.

CONCLUSIONS

GGT was a better biomarker to distinguish cirrhosis (F4) from non-cirrhotic stages (F1-3), while GPR was a better biomarker to identify advanced fibrosis (F3-4) and non-advanced fibrosis (F1-2) in patients with chronic hepatitis B.

Using the FIB-4, automatically calculated, followed by the ELF test in second line to screen primary care patients for liver disease

The objective of our work was to evaluate the screening of hepatic fibrosis in primary care using the FIB-4 score, automatically calculated. When the FIB-4 was ≥ 1.3, it was defined as positive, and ELF Test was performed. FIB-4 positivity was confirmed when ELF Test was ≥ 9.8 indicating an advanced fibrosis. Among the 3427 patients included, 869 (25%) had a positive FIB-4 score, 784 (22.5%) at intermediate (FIB-4: 1.3-2.67), and 85 (2.5%) at high risk of fibrosis (FIB-4 > 2.67). 509 (59%) of the FIB-4 positive were confirmed by the ELF Test. The percentage of confirmation was significantly higher in patients over 65 years (83 vs. 57%), with FIB-4 > 2.67 (80 vs. 56%), BMI > 25 (47 vs. 37%), and diabetes (24 vs. 14%), p = 0.001). In patients without known liver disease (92%), the practitioner identified a cause of disease in 27% of cases: mainly NAFLD and alcohol. Liver fibrosis was suspected on FIB-4 in 25% of patients in primary care. The ELF Test, performed as a second-line, improves the screening of liver fibrosis, particularly for FIB-4 intermediate results. A positive FIB-4 test allows physicians to recognize a liver disease, providing an opportunity for timely intervention.Clinical trial registration: Comité de protection des personnes du sud-ouest et outre-mer SI18.00832.201865-MS04-IDRCB 2018-A01571-54.

Biomarkers of Hepatic Toxicity: An Overview

Background

Hepatotoxicity is the foremost issue for clinicians and the primary reason for pharmaceutical product recalls. A biomarker is a measurable and quantifiable attribute used to evaluate the efficacy of a treatment or to diagnose a disease. There are various biomarkers which are used for the detection of liver disease and the intent of liver damage.

Objective

This review aims to investigate the current state of hepatotoxicity biomarkers and their utility in clinical settings. Using hepatic biomarkers, the presence of liver injury, its severity, prognosis, causative agent, and type of hepatotoxicity can all be determined.

Methods

Relevant published articles up to 2022 were systematically retrieved from MEDLINE/PubMed, SCOPUS, EMBASE, and WOS databases using keywords such as drug toxicity, hepatotoxicity biomarkers, biochemical parameters, and nonalcoholic fatty liver disease.

Results

In clinical trials and everyday practice, biomarkers of drug-induced liver injury are essential for spotting the most severe cases of hepatotoxicity. Hence, developing novel biomarker approaches to enhance hepatotoxicity diagnosis will increase specificity and/or identify the person at risk. Importantly, early clinical studies on patients with liver illness have proved that some biomarkers such as aminotransferase, bilirubin, albumin, and bile acids are even therapeutically beneficial.

Conclusions

By assessing the unique signs of liver injury, health care professionals can rapidly and accurately detect liver damage and evaluate its severity. These measures contribute to ensuring prompt and effective medical intervention, hence reducing the risk of long-term liver damage and other major health concerns.

Biomarkers in Detection of Hepatitis C Virus Infection

The hepatitis C virus (HCV) infection affects 58 million people worldwide. In the United States, the incidence rate of acute hepatitis C has doubled since 2014; during 2021, this increased to 5% from 2020. Acute hepatitis C is defined by any symptom of acute viral hepatitis plus either jaundice or elevated serum alanine aminotransferase (ALT) activity with the detection of HCV RNA, the anti-HCV antibody, or hepatitis C virus antigen(s). However, most patients with acute infection are asymptomatic. In addition, ALT activity and HCV RNA levels can fluctuate, and a delayed detection of the anti-HCV antibody can occur among some immunocompromised persons with HCV infection. The detection of specific biomarkers can be of great value in the early detection of HCV infection at an asymptomatic stage. The high rate of HCV replication (which is approximately 1010 to 1012 virions per day) and the lack of proofreading by the viral RNA polymerase leads to enormous genetic diversity, creating a major challenge for the host immune response. This broad genetic diversity contributes to the likelihood of developing chronic infection, thus leading to the development of cirrhosis and liver cancer. Direct-acting antiviral (DAA) therapies for HCV infection are highly effective with a cure rate of up to 99%. At the same time, many patients with HCV infection are unaware of their infection status because of the mostly asymptomatic nature of hepatitis C, so they remain undiagnosed until the liver damage has advanced. Molecular mechanisms induced by HCV have been intensely investigated to find biomarkers for diagnosing the acute and chronic phases of the infection. However, there are no clinically verified biomarkers for patients with hepatitis C. In this review, we discuss the biomarkers that can differentiate acute from chronic hepatitis C, and we summarize the current state of the literature on the useful biomarkers that are detectable during acute and chronic HCV infection, liver fibrosis/cirrhosis, and hepatocellular carcinoma (HCC).

Noninvasive tests for liver fibrosis in 2024: are there different scales for different diseases?

Liver fibrosis is the common pathway from various chronic liver diseases and its progression leads to cirrhosis which carries a significant risk for the development of portal hypertension-related complications and hepatocellular carcinoma. It is crucial to identify and halt the worsening of liver fibrosis given its important prognostic implication. Liver biopsy is the gold standard for assessing the degree of liver fibrosis but is limited due to its invasiveness and impracticality for serial monitoring. Many noninvasive tests have been developed over the years trying to assess liver fibrosis in a practical and accurate way. The tests are mainly laboratory- or imaging-based, or in combination. Laboratory-based tests can be derived from simply routine blood tests to patented laboratory parameters. Imaging modalities include ultrasound and magnetic resonance elastography, in which vibration-controlled transient elastography is the most widely validated and adopted whereas magnetic resonance elastography has been proven the most accurate liver fibrosis assessment tool. Nonetheless, noninvasive tests do not always apply to all liver diseases, nor does a common cut-off value of a test mean the same degree of liver fibrosis in different scenarios. In this review, we discuss the diagnostic and prognostic performance, as well as the confounders and limitations, of different noninvasive tests on liver fibrosis assessment in various liver diseases.

Protein-S-100-beta is increased in patients with decompensated cirrhosis admitted to ICU

Background

Hepatic encephalopathy (HE) is highly prevalent in patients with liver diseases. The pathophysiology of HE is centered on the synergic role of hyperammonemia and systemic inflammation. However, some data suggest altered functioning of the blood-brain barrier (BBB). Assessing BBB function is challenging in clinical practice and at the bedside. Protein-S-100 Beta (PS100-Beta) could be a useful peripheral marker of BBB permeability in HE. This study aimed to assess plasmatic PS100-Beta levels in a prospective cohort of patients admitted to the intensive care unit (ICU) with decompensated cirrhosis with and without overt HE.

Methods

We retrospectively evaluated a prospective cohort of cirrhotic patients admitted to the ICU from October 2013 to September 2015 that had an available plasmatic PS100-Beta measurement. Patients with previous neurological impairment or limitation of intensive or resuscitative measures were excluded. Overt HE was defined as West-Haven grades 2 to 4. The patients were compared to a control cohort of outpatient clinic cirrhotic and non-cirrhotic patients explored for isolated elevation of liver enzymes. After ICU discharge, the patients were followed for at least 3 months for the occurrence of overt HE. Adverse outcomes (liver transplantation or death) were collected. The ability of PS100-Beta - in combination with other factors - to predict overt HE was evaluated in a multivariate analysis using logistic regression. Likelihood ratios were used to determine the effects and calculate odds ratios (OR). Survival analysis was performed by using the Kaplan-Meier method and survival between groups was compared using a Log-rank test.

Results

A total of 194 ICU patients and 207 outpatients were included in the study. Increased levels of plasmatic PS100-Beta were detected in the ICU decompensated cirrhotic patients compared with the outpatients ([0.15±0.01] mg/L vs. [0.08±0] mg/L, P <0.001). ICU patients with overt HE had higher levels of PS100-Beta ([0.19±0.03] mg/L) compared with the ICU patients without overt HE ([0.13±0.01] mg/L) (P=0.003). PS100-Beta levels did not differ in outpatients with F 0-3 compared to F 4 fibrosis (P=0.670). PS100-Beta values were correlated with Child-Pugh score (P <0.001), Model for End-Stage Liver Disease (MELD) score (P=0.004), C-reactive protein (P <0.001), ammonemia (P <0.001), and chronic liver failure consortium (CLIF-C) organ failure (P <0.001) and CLIF-C acute-on-chronic (P=0.038) scores, but not with leukocytes (P=0.053), procalcitonin (PCT) (P=0.107), or the lymphocyte-to-neutrophil ratio in ICU patients (P=0.522). In a multivariate model including age, ammonemia, PS100-Beta, PCT, MELD, presence of transjugular portosystemic shunt, and sodium level, the diagnostic performance was 0.765 for the diagnosis of overt HE. Patients with a PS100-Beta level <0.12 mg/L had a better overall survival (P=0.019) and a better survival without liver transplantation (P=0.013).

Conclusions

Serum levels of PS100-Beta are elevated in ICU patients with decompensated cirrhosis, and even more so in those displaying overt HE, and the levels are correlated with outcome. This suggests an increase in the permeability of the BBB in these patients.

Effects of HCV Clearance with Direct-Acting Antivirals (DAAs) on Liver Stiffness, Liver Fibrosis Stage and Metabolic/Cellular Parameters

INTRODUCTION

Chronic hepatitis C (CHC) is a clinical and pathological syndrome with various causes and is characterized by varying degrees of hepatocellular necrosis and inflammation. It is a significant cause of liver transplantation and liver-related death worldwide. The hepatic manifestations of CHC are typically characterized by slowly progressing liver fibrosis, which is a non-specific and often disproportionate response to tissue damage. A large majority of HCV patients have extrahepatic manifestations with varying degrees of severity. HCV infection is a risk factor for cardiovascular disease and diabetes mellitus, which increases insulin resistance, oxidative stress, and iron overload and causes chronic systemic inflammation. HCV infection is treated using direct-acting antivirals (DAAs) with cure rates of over 95 percent, minimal side effects, and shorter therapeutic courses. Despite the effective elimination of the virus, it seemed pertinent to understand to what extent HCV clearance eliminates or attenuates all the systemic alterations already induced by the virus during infection and chronicity.

OBJECTIVES

Our study aimed to determine whether eliminating HCV with DAAs alters the severity of liver disease (liver stiffness and liver fibrosis stage by TE) and the metabolic/cellular profile of patients with CHC.

MATERIALS AND METHODS

A group of 329 CHC patients from a Gastroenterology and Hepatology outpatient department were prospectively studied. Of these, 134 were also studied with DAAs. The liver fibrosis stage was evaluated by transient elastography (TE) using a FibroScan® device, and two groups were established for the analysis of liver stiffness (LS): mild and moderate stiffness (fibrosis F1 and F2; F1/2) and severe stiffness (fibrosis and cirrhosis F3 and F4; F3/4). Metabolic/cellular parameters were evaluated before and after antiviral treatment using standard methods: alkaline phosphatase (ALP), aspartate aminotransferase (AST), alanine aminotransferase (ALT), γ-glutamyl-transpeptidase (γ-GT), haptoglobin (Hp), total cholesterol (TC), high-density lipoprotein (HDL), low-density lipoprotein (LDL), triglycerides (TG), free iron (Fe), transferrin saturation (TS), total iron binding capacity (TIBC), ferritin (Ft), glycemia, insulin, Homeostatic Model Assessment for Insulin Resistance (HOMA-IR) and platelets count. The results were statistically analyzed using SPSS 24.0 for Windows.

RESULTS

Comparing the fibrosis stage before and after DAAs treatment, we verify a reduction in LS in 85.7% of patients and an improvement in liver fibrosis stage in 22.2% of them after DAAs treatment. Before DAAs treatment, patients showed a 2.410 risk for higher fibrosis stages (F3/4). Comparing metabolic/cellular parameters before and after DAAs treatment, patients showed lower ALP, AST, ALT, γGT, TG, Fe, TIBC, and Ft values and higher TC, LDL, and Hp values after treatment. As such, HCV elimination reduces iron overload and insulin resistance. On the other hand, it caused dyslipidemia, raising total cholesterol and LDL to levels outside the reference values. The improvement in the liver fibrosis stage by TE was mainly associated with higher baseline platelet count and HDL values and lower insulin resistance.

CONCLUSIONS

With this study, we were able to contribute to the knowledge of the effects of HCV elimination with DAAs on liver disease and metabolic profile to improve the quality of treatment and follow-up of these patients after HCV elimination.

Application of artificial intelligence techniques for non-alcoholic fatty liver disease diagnosis: A systematic review (2005-2023)

BACKGROUND AND OBJECTIVES

Non-alcoholic fatty liver disease (NAFLD) is a common liver disease with a rapidly growing incidence worldwide. For prognostication and therapeutic decisions, it is important to distinguish the pathological stages of NAFLD: steatosis, steatohepatitis, and liver fibrosis, which are definitively diagnosed on invasive biopsy. Non-invasive ultrasound (US) imaging, including US elastography technique, and clinical parameters can be used to diagnose and grade NAFLD and its complications. Artificial intelligence (AI) is increasingly being harnessed for developing NAFLD diagnostic models based on clinical, biomarker, or imaging data. In this work, we systemically reviewed the literature for AI-enabled NAFLD diagnostic models based on US (including elastography) and clinical (including serological) data.

METHODS

We performed a comprehensive search on Google Scholar, Scopus, and PubMed search engines for articles published between January 2005 and June 2023 related to AI models for NAFLD diagnosis based on US and/or clinical parameters using the following search terms: "non-alcoholic fatty liver disease", "non-alcoholic steatohepatitis", "deep learning", "machine learning", "artificial intelligence", "ultrasound imaging", "sonography", "clinical information".

RESULTS

We reviewed 64 published models that used either US (including elastography) or clinical data input to detect the presence of NAFLD, non-alcoholic steatohepatitis, and/or fibrosis, and in some cases, the severity of steatosis, inflammation, and/or fibrosis as well. The performances of the published models were summarized, and stratified by data input and algorithms used, which could be broadly divided into machine and deep learning approaches.

CONCLUSION

AI models based on US imaging and clinical data can reliably detect NAFLD and its complications, thereby reducing diagnostic costs and the need for invasive liver biopsy. The models offer advantages of efficiency, accuracy, and accessibility, and serve as virtual assistants for specialists to accelerate disease diagnosis and reduce treatment costs for patients and healthcare systems.

Serum infrared spectral profile is predictive of the degree of hepatic fibrosis in chronic hepatitis C patients

Assessment of liver fibrosis is crucial to guide the therapeutic strategy in patients with chronic liver disease. We investigated the potential of serum Fourier transform infrared (FTIR) spectroscopy for assessing the degree of hepatic fibrosis in patients with chronic hepatitis C (CHC). The study was conducted on dried serum samples from 94 CHC patients at different histological stages of hepatic fibrosis: METAVIR F0 (n = 20), F1 (n = 17), F2 (n = 20), F3 (n = 20) and F4 (n = 17). Transmission FTIR spectra were acquired in the 4000-400 cm-1 range. Wavenumbers were selected by genetic algorithm (GA) according to their diagnostic performance as assessed by a partial least squares discriminant analysis (PLS-DA) model using a training and a validation set to differentiate severe stages of fibrosis from mild or moderate ones. The GA procedure was applied 50 times on randomly selected sets. Furthermore, the best set of wavenumbers was re-tested in 1000 randomly selected validation sets. Wavenumbers selected by GA corresponded to functional groups present in lipids, proteins, and carbohydrates. This model allowed to identify patients with cirrhosis (METAVIR F4), patients with advanced fibrosis (METAVIR F3 and F4), and patients with significant fibrosis (METAVIR F2, F3 and F4), with AUROC (Area Under the Receiver Operating Characteristic) of 0.88, 0.85 and 0.85, respectively. Thus, serum FTIR spectroscopy appears to have a strong potential as a new diagnostic tool for assessing the degree of fibrosis in patients with chronic liver disease.

Noninvasive Tests to Assess Liver Stiffness in Patients with Chronic Hepatitis B: APRI, FIB‐4, and FIB‐5 Scores

Background. Invasive percutaneous liver parenchymal biopsy is the best test used to evaluate liver stiffness and fibrosis in the follow‐up and treatment of chronic hepatitis B (CHB) patients. In this study, we aimed to indirectly evaluate the severity of liver parenchymal fibrosis with tests used in the laboratory. Methods. This retrospective study was conducted with 201 patients diagnosed with CHB who underwent liver biopsy between 2021 and 2022. Preprocedural examination information, laboratory tests, and histopathological data of the patients were taken from the hospital database and examined. “Aspartate aminotransferase (AST)‐platelet ratio index” (APRI), “4 factor‐based fibrosis index” (FIB‐4) score, and “5 factor‐based fibrosis index” (FIB‐5) score were calculated and compared with liver histopathological features. Results. Of the 201 CHB patients, 76 were females and 125 were males. The average age of the patients was 38.05 ± 12.63 years. A weak, statistically significant correlation was observed between FIB‐4 and APRI scores. The patients’ significant fibrosis scores were 31.3% and 33.8%, respectively (r = 0.313; r = 0.338; p = 0.001; p < 0.01). The very weak negative correlation of 17.4% between the patients’ FIB‐5 score and fibrosis score was statistically significant (r = −0.174; p = 0.014; p < 0.05). Conclusions. According to the data we obtained in our study, while the APRI score and FIB‐4 score can be used safely, more comprehensive studies are needed for the reliability of the FIB‐5 score.

Clinical prediction of HBV-associated cirrhosis using machine learning based on platelet and bile acids

OBJECTIVES

The present study was conducted to evaluate the performance of serum bile acids in the prediction of cirrhosis in chronic hepatitis B (CHB) population.

METHODS

Dysregulated metabolites were explored using untargeted and targeted metabolomic analyses. A machine learning model based on platelet (PLT) and several bile acids was constructed using light gradient boosting machine (LightGBM), to differentiate HBV-associated cirrhosis (BAC) from CHB patients.

RESULTS

Serum bile acids were dysregulated in BAC compared to CHB patients. The LightGBM model consisted of PLT, TUDCA, UDCA, TLCA, LCA and CA. The model demonstrated a strong discrimination ability in the internal test subset of the training cohort to diagnose BAC from CHB patients (AUC = 0.97). The high diagnostic accuracy of the model was further validated in an independent validation cohort. In addition, the model had high predictive efficacy in discriminating compensated BAC from CHB patients (AUC = 0.89). The performance of the model was better than AST/ALT ratio and the gradient boosting (GB)-based model reported in previous studies.

CONCLUSIONS

Our study showed that this LightGBM model based on PLT and 5 bile acids has potential in clinical assessments of CHB progression and will be useful for early detection of cirrhosis in CHB patients.

Impact of obesity on liver function tests: is nonalcoholic fatty liver disease the only player? A review article

Objectives

Obesity and nonalcoholic fatty liver disease (NAFLD) are common worldwide health problems with a strong relationship in between. NAFLD is currently the most common cause of abnormal liver function tests (LFT) because of obesity pandemic. The question is NAFLD the only player of abnormal LFT in obesity?

Methodology

This article reviews the most important topics regarding the derangements of LFT in obesity through a PubMed search strategy for all English-language literature.

Results

The reported abnormal LFT in obesity were increased serum levels of transaminases (alanine aminotransaminase, aspartate aminotransaminase), gamma glutamyl transferase, and alkaline phosphatase and decreased serum levels of bilirubin and albumin. Besides novel potential hepatic markers of NAFLD/NASH such as triglycerides/high-density lipoprotein cholesterol ratio, sex hormone-binding globulin, fibroblast growth factor 21, and markers of hepatocyte apoptosis i.e. cytokeratin 18 and microribonucleic acids (miRNAs). Beyond NAFLD, there are other underlying players for the abnormal LFT in obesity such as oxidative stress, inflammation, and insulin resistance.

Conclusion

Derangements of LFT in obesity are attributed to NAFLD but also to obesity itself and its related oxidative stress, insulin resistance, and chronic inflammatory state. Abnormal LFT predict more than just liver disease.

Steatotic Liver Disease: Metabolic Dysfunction, Alcohol, or Both?

Non-alcoholic fatty liver disease (NAFLD) and alcohol-related liver disease (ALD), both of them accounting for fatty liver disease (FLD), are among the most common chronic liver diseases globally, contributing to substantial public health burden. Both NAFLD and ALD share a similar picture of clinical presentation yet may have differences in prognosis and treatment, which renders early and accurate diagnosis difficult but necessary. While NAFLD is the fastest increasing chronic liver disease, the prevalence of ALD has seemingly remained stable in recent years. Lately, the term steatotic liver disease (SLD) has been introduced, replacing FLD to reduce stigma. SLD represents an overarching term to primarily comprise metabolic dysfunction-associated steatotic liver disease (MASLD), formerly known as non-alcoholic fatty liver disease (NAFLD), as well as alcohol-related liver disease (ALD), and MetALD, defined as a continuum across which the contribution of MASLD and ALD varies. The present review discusses current knowledge on common denominators of NAFLD/MASLD and ALD in order to highlight clinical and research needs to improve our understanding of SLD.

Noninvasive Fibrosis Testing in Chronic Liver Disease Including Caveats

Assessment of liver fibrosis is important as the range of liver disease management has expanded, rendering biopsy both imperfect and impractical in many situations. Noninvasive tests of fibrosis leverage laboratory, imaging and elastography techniques to estimate disease extent, often with the goal of identifying advanced fibrosis. This review attempts to summarize their utility across a broad range of possible clinical scenarios while considering the central tenets of health care quality: access, quality, and cost. For each test, it also discusses the caveats whereby each test may have reduced effectiveness and how to consider each in a typical clinical setting.

The Past, Present, and Future of Noninvasive Test in Chronic Liver Diseases

Chronic liver disease is a major global health threat and is the 11th leading cause of death globally. A liver biopsy is frequently required in assessing the degree of steatosis and fibrosis, information that is important in diagnosis, management, and prognostication. However, liver biopsies have limitations and carry a considerable risk, leading to the development of various modalities of noninvasive testing tools. These tools have been developed in recent years and have improved markedly in diagnostic accuracy. Moving forward, they may change the practice of hepatology.

Screening strategy for non-alcoholic fatty liver disease

Non-alcoholic fatty liver disease (NAFLD) is the most common chronic liver disease, affecting approximately 25% of the general population worldwide, and is forecasted to increase global health burden in the 21st century. With the advancement of non-invasive tests for assessing and monitoring of steatosis and fibrosis, NAFLD screening is now feasible, and is increasingly highlighted in international guidelines related to hepatology, endocrinology, and pediatrics. Identifying high-risk populations (e.g., diabetes mellitus, obesity, metabolic syndrome) based on risk factors and metabolic characteristics for non-invasive screening is crucial and may aid in designing screening strategies to be more precise and effective. Many screening modalities are currently available, from serum-based methods to ultrasonography, transient elastography, and magnetic resonance imaging, although the diagnostic performance, cost, and accessibility of different methods may impact the actual implementation. A two-step assessment with serum-based fibrosis-4 index followed by imaging test vibration-controlled transient elastography can be an option to stratify the risk of liverrelated complications in NAFLD. There is a need for fibrosis surveillance, as well as investigating the cost-effectiveness of different screening algorithms and engaging primary care for first-stage triage screening.

Spectrum, Screening, and Diagnosis of Alcohol-related Liver Disease

Alcohol-related liver disease (ALD) represents one of the leading causes of chronic liver disease and is a major cause of liver-related deaths worldwide. ALD encompasses a range of disorders including simple steatosis, alcoholic steatohepatitis, fibrosis, cirrhosis, and hepatocellular carcinoma. Patients with underlying ALD and continued heavy alcohol consumption can also develop an episode of acute-on-chronic liver injury called alcohol-associated hepatitis, the most severe form of the disease, which portends a poor prognosis. The most important risk factor for the development of ALD is the amount of alcohol consumed. Individual susceptibility to progression to advanced fibrosis among heavy drinkers is likely determined by a combination of behavioral, environmental, genetic, and epigenetic factors, but the mechanisms are largely unknown. The only effective therapy for ALD is prolonged alcohol abstinence. Diagnosis of ALD involves assessing patients for alcohol use disorder and signs of advanced liver disease. In clinical practice, the histological assessment for ALD diagnosis is uncommon, and it is usually based on the medical history, clinical manifestations, and laboratory and imaging tests. Several promising biomarkers that can have both diagnostic and prognostic value in patients with ALD have been identified in recent years. This review provides an overview of the clinical spectrum of ALD, the diagnostic approach of the disease from different perspectives as well as current diagnostic and prognostic biomarkers.

Discovery of Hepatotoxic Equivalent Markers and Mechanism of Polygonum multiflorum Thunb. by Metabolomics Coupled with Molecular Docking

Polygonum multiflorum Thunb. (PMT), a commonly used Chinese herbal medicine for treating diseases such as poisoning and white hair, has attracted constant attention due to the frequent occurrence of liver injury incidents. To date, its hepatotoxic equivalent markers (HEMs) and potential hepatotoxic mechanisms are still unclear. In order to clarify the HEMs of PMT and further explore the potential mechanisms of hepatotoxicity, firstly, the chemical constituents in PMT extract were globally characterized, and the fingerprints of PMT extracts were established along with the detection of their hepatotoxicity in vivo. Then, the correlations between hepatotoxic features and component contents were modeled by chemometrics to screen HEMs of PMT, which were then further evaluated. Finally, the hepatotoxic mechanisms of PMT were investigated using liver metabolomics and molecular docking. The results show that the chemical combination of 2,3,5,4-tetrahydroxystilbene-2-O-β-D-glucoside (TSG) and emodin-8-O-glucoside (EG) was discovered as the HEMs of PMT through pre-screening and verifying process. Liver metabolomics revealed that PMT caused liver injury by interfering with purine metabolism, which might be related to mitochondrial function disorder and oxidative injury via the up-regulations of xanthosine and xanthine, and the down-regulation of 5' nucleotidase (NT5E) and adenylate kinase 2 (AK2). This study not only found that the HEMs of PMT were TSG and EG, but also clarified that PMT might affect purine metabolism to induce liver injury, which contributed to our understanding of the underlying mechanisms of PMT hepatotoxicity.

Serum keratin-18 detects hepatic inflammation and predicts progression in compensated alcohol-associated liver disease

Alcohol-associated liver fibrosis accumulates over decades, driven by hepatic inflammation and cell death. We investigated the diagnostic accuracy of keratin-18 degradation, measured using serum M30 and M65 levels, and the ActiTest for hepatic inflammatory activity in patients with compensated alcohol-associated liver disease (ALD). Furthermore, we evaluated the prognostic accuracy of markers for liver-related events and all-cause mortality. All findings were compared with routine liver function tests: Aspartate aminotransferase (AST), alanine aminotransferase (ALT), and gamma-glutamyltransferase. Our prospective, biopsy-controlled, single-center study included 265 patients with ongoing or prior excessive alcohol intake, representing the full spectrum of compensated ALD. We defined hepatic inflammatory activity as a combined score of lobular inflammation and ballooning. For severe hepatic inflammatory activity (n = 40), we found excellent diagnostic accuracy for M30 (area under the receiver operating characteristics curve [AUROC] = 0.90), M65 (AUROC = 0.86), and AST (AUROC = 0.86). Elevated M30 (M30 > 240 U/L) had the highest positive predictive value (PPV) and specificity, significantly higher than M65, ActiTest and ALT, but not AST (M30: sensitivity = 83%, specificity = 82%, positive predictive value = 45%, negative predictive value = 95%). Patients were followed up for 1445 patient-years. All markers, except for ALT, significantly predicted liver-related events and all-cause mortality. After adjusting for advanced fibrosis, drinking behavior and body mass index, M30 and M65 remained significant predictors of liver-related events, whereas M30 and AST were significant predictors of all-cause mortality. Conclusion: M30 and AST accurately detect severe hepatic inflammatory activity in patients with compensated ALD. M30 was the only significant predictor of both liver-related events and all-cause mortality after adjusting for advanced fibrosis, body mass index, and drinking behavior at inclusion.

Serum biomarkers for liver fibrosis

Liver fibrosis is a common pathway in most chronic liver diseases, characterized by excessive extracellular matrix accumulation. Without treatment, fibrosis will ultimately result in cirrhosis, portal hypertension, and even liver failure. It is considered that liver fibrosis is reversible while cirrhosis is not, making it significant to diagnose and evaluate liver fibrogenesis timely. As the gold standard, liver biopsy is imperfect due to its invasiveness and sampling error. Therefore, attempts at uncovering noninvasive tests have become a hot topic in liver fibrosis. Nowadays, as an important category of noninvasive tests, serum biomarkers, which are safer, convenient, repeatable, and more acceptable, are widely discussed and commonly used in clinical practice. Serum biomarkers of liver fibrosis can be divided into class I (direct) and classⅡ (indirect) markers. However, the diagnostic efficiency still varies among studies. This article summarizes the most established and newly discovered serum biomarkers for hepatic fibrogenesis.

Noninvasive Diagnosis of Hepatic Fibrosis in Hemodialysis Patients with Hepatitis C Virus Infection

Hepatitis C virus (HCV) is a major health problem in hemodialysis patients, which leads to significant morbidity and mortality through progressive hepatic fibrosis or cirrhosis. Percutaneous liver biopsy is the gold standard to stage hepatic fibrosis. However, it is an invasive procedure with postbiopsy complications. Because uremia may significantly increase the risk of fatal and nonfatal bleeding events, the use of noninvasive means to assess the severity of hepatic fibrosis is particularly appealing to hemodialysis patients. To date, researchers have evaluated the performance of various biochemical, serological, and radiological indices for hepatic fibrosis in hemodialysis patients with HCV infection. In this review, we will summarize the progress of noninvasive indices for assessing hepatic fibrosis and propose a pragmatic recommendation to diagnose the stage of hepatic fibrosis with a noninvasive index, in hemodialysis patients with HCV infection.

E, Dooley S, Seki E, Liu P, Liu C. Serum Glial Cell Line-Derived Neurotrophic Factor (sGDNF) Is a Novel Biomarker in Predicting Cirrhosis in Patients with Chronic Hepatitis B

OBJECTIVES

We assessed the potential of glial cell line-derived neurotrophic factor (GDNF) as a useful biomarker to predict cirrhosis in chronic hepatitis B (CHB) patients.

METHODS

A total of 735 patients from two medical centers (385 CHB patients and 350 healthy controls) were included to determine the association of serum and tissue GDNF levels with biopsy-proven cirrhosis. The diagnostic accuracy of serum GDNF (sGDNF) was estimated and compared with other indices of cirrhosis.

RESULTS

We showed significantly higher levels of sGDNF in CHB patients with fibrosis (28.4 pg/ml vs. 11.6 pg/ml in patients without) and patients with cirrhosis (33.8 pg/ml vs. 23.5 pg/ml in patients without). The areas under receiver operating curve (AUROCs) of sGDNF were 0.83 (95% confidence interval (CI): 0.80-0.87) for predicting liver fibrosis and 0.84 (95% CI: 0.79-0.89) for cirrhosis. Findings from the serum protein level and hepatic mRNA expression were consistent. Using the best cutoff to predict cirrhosis, we categorized the patients into sGDNF-high and sGDNF-low groups. The sGDNF-high group had significantly larger Masson's trichrome and reticulin staining-positive area, higher Scheuer score, and METAVIR fibrosis stage (all p < 0.001) but not steatosis. On multivariable regression, sGDNF was independently associated with cirrhosis with an odds ratio of 6.98 (95% CI: 1.10-17.94). Finally, we demonstrated that sGDNF outperformed AST to platelet ratio index, FIB-4, fibroscore, forn index, and fibrometer in differentiating F4 vs. F3.

CONCLUSION

Using serum, tissue mRNA, and biopsy data, our study revealed a significant potential of sGDNF as a novel noninvasive biomarker for cirrhosis in CHB patients.

Noninvasive proteomic biomarkers for alcohol-related liver disease

Alcohol-related liver disease (ALD) is a major cause of liver-related death worldwide, yet understanding of the three key pathological features of the disease-fibrosis, inflammation and steatosis-remains incomplete. Here, we present a paired liver-plasma proteomics approach to infer molecular pathophysiology and to explore the diagnostic and prognostic capability of plasma proteomics in 596 individuals (137 controls and 459 individuals with ALD), 360 of whom had biopsy-based histological assessment. We analyzed all plasma samples and 79 liver biopsies using a mass spectrometry (MS)-based proteomics workflow with short gradient times and an enhanced, data-independent acquisition scheme in only 3 weeks of measurement time. In plasma and liver biopsy tissues, metabolic functions were downregulated whereas fibrosis-associated signaling and immune responses were upregulated. Machine learning models identified proteomics biomarker panels that detected significant fibrosis (receiver operating characteristic-area under the curve (ROC-AUC), 0.92, accuracy, 0.82) and mild inflammation (ROC-AUC, 0.87, accuracy, 0.79) more accurately than existing clinical assays (DeLong's test, P < 0.05). These biomarker panels were found to be accurate in prediction of future liver-related events and all-cause mortality, with a Harrell's C-index of 0.90 and 0.79, respectively. An independent validation cohort reproduced the diagnostic model performance, laying the foundation for routine MS-based liver disease testing.

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

Over the last two decades, there have been tremendous advances in the non-invasive diagnosis and risk stratification of chronic liver diseases (CLDs). Non-invasive approaches are based on the quantification of biomarkers in serum samples or on the measurement of liver stiffness, using either ultrasound- or magnetic resonance-based elastography techniques. The fibrosis-4 index (non-patented) and enhanced liver fibrosis test (patented) are the most widely adopted serum markers, whereas vibration-controlled transient elastography is the most widely adopted elastography technique. In this review, we discuss the role of non-invasive tests in the current era, as well as their accuracy and how their use in clinical practice has changed the practice of hepatology, including identification of early cirrhosis in patients with risk factors for CLD, diagnosis of portal hypertension, establishing prognosis in compensated cirrhosis, guiding antiviral treatment, and screening for fibrosis and cirrhosis in primary care.

External Validation of LCR1-LCR2, a Multivariable Hepatocellular Carcinoma Risk Calculator, in a Multiethnic Cohort of Patients With Chronic Hepatitis B

Background and Aims

The liver cancer risk test (LCR1-LCR2) is a multianalyte blood test combining proteins involved in liver cell repair (apolipoprotein A1, haptoglobin), hepatocellular carcinoma (HCC) risk factors (gender, age, gamma glutamyl transpeptidase), a marker of fibrosis (alpha2-macroglobulin), and alpha-fetoprotein, a specific marker of HCC. The aim was to externally validate LCR1-LCR2 in hepatitis B.

Methods

Preincluded patients were from the Hepather cohort, a multicenter, multiethnic prospective study in 6071 patients. The coprimary study outcome was the negative predictive value of LCR1-LCR2 at 5 years for the occurrence of HCC and survival without HCC according to the predetermined LCR1-LCR2 cutoffs, adjusted for risk covariables and for chronic hepatitis B treatment and quantified using time-dependent Cox proportional hazards models. A post hoc analysis compared the number of patients needed to screen one cancer by LCR1-LCR2 and PAGE-B.

Results

A total of 3520 patients, 191 (5.4%) with cirrhosis, with at least 1 year of follow-up were included. A total of 76 HCCs occurred over a median (interquartile range) of 6.0 years (4.8-7.3) of follow-up. Among the 3367 patients with low-risk LCR1-LCR2, the 5-year negative predictive value was 99.3% (95% confidence interval = 99.0-99.6), with a significant Cox hazard ratio (6.4, 3.1-13.0; P < .001) obtained after adjustment for exposure to antivirals, age, gender, geographical origin, HBe-Ag status, alcohol consumption, and type-2 diabetes. LCR1-LCR2 outperformed PAGE-B for number of patients needed to screen mean (95% CI), 8.5 (3.2-8.1) vs 26.3 (17.5-38.5; P < .0001), respectively.

Conclusion

The performance of LCR1-LCR2 to identify patients with chronic hepatitis B at very low risk of HCC at 5 years was externally validated. ClinicalTrials.gov: NCT01953458.

Gamma-glutamyl Transpeptidase to Platelet Ratio Predicts Liver Injury in Hepatitis B e Antigen-negative Chronic Hepatitis B Patients With Normal Alanine Aminotransferase

BACKGROUND AND AIMS

Chronic hepatitis B virus (HBV) infection is a serious health problem worldwide. Evaluating liver injury in patients with hepatitis B e antigen (HBeAg)-negative chronic hepatitis B (CHB) with detectable HBV DNA and normal alanine aminotransferase (ALT) is crucial to guide their clinical management. We aimed to investigate the stages of liver inflammation and fibrosis as well as the predictive accuracy of gamma-glutamyl transpeptidase-to-platelet ratio (GPR) in these patients.

METHODS

A total of 184 treatment-naïve HBeAg-negative CHB patients with detectable HBV DNA and normal ALT were enrolled. The Scheuer scoring system was used to classify liver inflammation and fibrosis.

RESULTS

The distribution of patients with different liver inflammation grades were as follows: G0, 0 (0%); G1, 97 (52.7%); G2, 68 (37.0%); G3, 12 (6.5%); and G4, 7 (3.8%). The distribution of patients with different liver fibrosis stages were as follows: S0, 22 (12.0%); S1, 72 (39.1%); S2, 42 (22.8%); S3, 19 (10.3%); and S4, 29 (15.8%). The areas under the receiver operating characteristic (AUROC) curves of GPR in predicting significant inflammation, severe inflammation, and advanced inflammation were 0.723, 0.895, and 0.952, respectively. The accuracy of GPR was significantly superior to that of ALT in predicting liver inflammation. The AUROCs of GPR in predicting significant fibrosis, severe fibrosis, and cirrhosis were 0.691, 0.780, and 0.803, respectively. The predictive accuracy of GPR was significantly higher than that of aminotransferase-to-platelet ratio index (APRI) and fibrosis index based on four factors (FIB-4) in identifying advanced fibrosis and cirrhosis, and it was superior to FIB-4 but comparable to APRI in identifying significant fibrosis.

CONCLUSIONS

Nearly half of the HBeAg-negative CHB patients with detectable HBV DNA and normal ALT levels had significant liver inflammation or fibrosis. GPR can serve as an accurate predictor of liver inflammation and fibrosis in these patients.

Awareness of chronic liver diseases, a comparison between diabetologists and general practitioners

BACKGROUNDS AND AIMS

Because of the high prevalence of chronic liver disease (CLD), it is crucial that general practitioners (GPs, in contact with the general population) and diabetologists (in contact with the most at-risk non-alcoholic fatty liver disease population) identify patients with advanced CLD requiring specialized management. The aim of this study was to evaluate CLD and CLD management awareness among diabetologists and GPs.

MATERIAL AND METHODS

A questionnaire was sent to diabetologists within the Francophone Diabetes Society and to GPs in southern and western France. The questionnaire sounded participant characteristics and knowledge of CLD and its management.

RESULTS

678 questionnaires were completed by 500 GPs and 178 diabetologists. CLD prevalence was underestimated by 90% of GPs and 59% of diabetologists (p<0.001). For biological CLD follow-up, liver injury explorations (transaminases) were systematically included whereas severity explorations (prothrombin time, bilirubin) were prescribed for less than 50% of blood samples; GPs were more likely to prescribe severity explorations than diabetologists were (p<0.001). 74% of GPs and 97% of diabetologists (p<0.001) were familiar with non-invasive tests, Fibroscan and Fibrotest being the two most-frequently mentioned of them. In contrast, the simple blood test Fibrosis-4 was cited by less than 15% of GPs and 30% of diabetologists (p<0.001).

CONCLUSION

GPs and diabetologists have limited knowledge of CLD, despite its high prevalence. Continuing medical education among GPs and diabetologists is therefore necessary to enable the discovery of patients with advanced fibrosis and early management for them so as to avoid liver-related complications.

Comparison of Transient Elastography, ShearWave Elastography, Magnetic Resonance Elastography and FibroTest as routine diagnostic markers for assessing liver fibrosis in children with Cystic Fibrosis

BACKGROUND AND OBJECTIVE

Reliable markers are needed for early diagnosis and follow-up of liver disease in Cystic Fibrosis (CF). The objective was to evaluate the diagnostic performance of Transient Elastography (TE), Real-Time ShearWave Ultrasound Elastography (SWE), Magnetic Resonance Elastography (MRE) and the FibroTest as markers of Cystic Fibrosis Liver Disease (CFLD).

METHODS

A monocentric prospective cross-modality comparison study was proposed to all children (6 to 18 years of age) attending the CF center. Based on liver ultrasound findings, participants were classified into 3 groups: multinodular liver or portal hypertension (Nodular US/PH, advanced CFLD), heterogeneous increased echogenicity (Heterogeneous US, CFLD) or neither (Normal/Homogeneous US, no CFLD). The 4 tests were performed on the same day. The primary outcome was the FibroTest value and liver stiffness measurements (LSM).

RESULTS

55 participants (mean age 12.6 ± 3.3 years; 25 girls) were included between 2015 and 2018: 23 in group Nodular US/PH, 8 in group Heterogeneous US and 24 in group Normal/Homogeneous US (including 4 with steatosis). LSM on TE, SWE and MRE were higher in participants with CFLD (groups Nodular US/PH and Heterogeneous US) compared to others (group Normal/Homogeneous US) (p<0.01), while FibroTest values did not differ (p = 0.09). The optimal cut-off values for predicting CFLD on TE, SWE and MRE were 8.7 (AUC=0.83, Se=0.71, Sp=0.96), 7.8 (AUC=0.85, Se=0.73, Sp=0.96) and 4.15 kPa (AUC=0.68, Se=0.73, Sp=0.64), respectively. LSM predicted the occurrence of major liver-related events at 3 years. TE and SWE were highly correlated (Spearman's ρ=0.9) and concordant in identifying advanced CFLD (Cohen's κ=0.84) while MRE was moderately correlated and concordant with TE (ρ=0.41; κ=36) and SWE (ρ=0.5; κ=0.50).

CONCLUSION

This study demonstrated excellent diagnostic performance of TE, SWE and MRE for the diagnosis of CFLD.

Diagnostic Modalities of Non-Alcoholic Fatty Liver Disease: From Biochemical Biomarkers to Multi-Omics Non-Invasive Approaches

Non-Alcoholic Fatty Liver Disease (NAFLD) is currently the most common cause of chronic liver disease worldwide, and its prevalence is increasing globally. NAFLD is a multifaceted disorder, and its spectrum includes steatosis to steatohepatitis, which may evolve to advanced fibrosis and cirrhosis. In addition, the presence of NAFLD is independently associated with a higher cardiometabolic risk and increased mortality rates. Considering that the vast majority of individuals with NAFLD are mainly asymptomatic, early diagnosis of non-alcoholic steatohepatitis (NASH) and accurate staging of fibrosis risk is crucial for better stratification, monitoring and targeted management of patients at risk. To date, liver biopsy remains the gold standard procedure for the diagnosis of NASH and staging of NAFLD. However, due to its invasive nature, research on non-invasive tests is rapidly increasing with significant advances having been achieved during the last decades in the diagnostic field. New promising non-invasive biomarkers and techniques have been developed, evaluated and assessed, including biochemical markers, imaging modalities and the most recent multi-omics approaches. Our article provides a comprehensive review of the currently available and emerging non-invasive diagnostic tools used in assessing NAFLD, also highlighting the importance of accurate and validated diagnostic tools.

Insights Into the Coinfections of Human Immunodeficiency Virus-Hepatitis B Virus, Human Immunodeficiency Virus-Hepatitis C Virus, and Hepatitis B Virus-Hepatitis C Virus: Prevalence, Risk Factors, Pathogenesis, Diagnosis, and Treatment

Human immunodeficiency virus, hepatitis B virus, and hepatitis C virus are three blood-borne viruses that can cause major global health issues by increasing severe morbidity. There is a high risk of coinfection with these viruses in individuals because of their same transmission routes through blood using shared needles, syringes, other injection equipment, sexual transmission, or even vertical transmission. Coinfection can cause various liver-related illnesses, non-hepatic organ dysfunction, followed by death compared to any of these single infections. The treatment of coinfected patients is complicated due to the side effects of antiviral medication, resulting in drug resistance, hepatotoxicity, and a lack of required responses. On the other hand, coinfected individuals must be treated with multiple drugs simultaneously, such as for HIV either along with HBV or HCV and HBV and HCV. Therefore, diagnosing, treating, and controlling dual infections with HIV, HBV, or HCV is complicated and needs further investigation. This review focuses on the current prevalence, risk factors, and pathogenesis of dual infections with HIV, HBV, and HCV. We also briefly overviewed the diagnosis and treatment of coinfections of these three blood-borne viruses.

Potential role of noninvasive biomarkers during liver fibrosis

Various types of liver disease exist, such as hepatitis and alcoholic liver disease. These liver diseases can result in scarring of liver tissue, cirrhosis, and finally liver failure. During liver fibrosis, there is an excess and disorganized accumulation of extracellular matrix (ECM) components which cause the loss of normal liver cell functions. For patients with chronic liver disease, fibrosis prediction is an essential part of the assessment and management. To diagnose liver fibrosis, several invasive and noninvasive markers have been proposed. However, the adoption of invasive markers remains limited due to their inherent characteristics and poor patient acceptance rate. In contrast, noninvasive markers can expedite the clinical decision through informed judgment about disease stage and prognosis. These noninvasive markers are classified into two types: Imaging techniques and serum biomarkers. However, the diagnostic values of biomarkers associated with liver fibrosis have also been analyzed. For example, the serum levels of ECM proteins can react to either matrix accumulation or degradation. During virus-host interactions, several regulatory steps take place to control gene expression, such as the change in cellular microRNA expression profiles. MicroRNAs are a class of non-coding RNAs (18-20 long nucleotides) that function by post-transcriptional regulation of gene expression. Although various noninvasive markers have been suggested in recent years, certain limitations have restricted their clinical applications. Understanding the potential of non-invasive biomarkers as a therapeutic option to treat liver fibrosis is still in progress.

Nonalcoholic Fatty Liver Disease (NAFLD): Pathogenesis and Noninvasive Diagnosis

The global prevalence of nonalcoholic fatty liver disease (NAFLD) or metabolic associated fatty liver disease (MAFLD), as it is now known, has gradually increased. NAFLD is a disease with a spectrum of stages ranging from simple fatty liver (steatosis) to a severe form of steatosis, nonalcoholic steatohepatitis (NASH), which could progress to irreversible liver injury (fibrosis) and organ failure, and in some cases hepatocellular carcinoma (HCC). Although a liver biopsy remains the gold standard for accurate detection of this condition, it is unsuitable for clinical screening due to a higher risk of death. There is thus an increased need to find alternative techniques or tools for accurate diagnosis. Early detection for NASH matters for patients because NASH is the marker for severe disease progression. This review summarizes the current noninvasive tools for NAFLD diagnosis and their performance. We also discussed potential and newer alternative tools for diagnosing NAFLD.

Prospective screening for significant liver fibrosis by fibrosis-4 in primary care patients without known liver disease

BACKGROUND

Fibrosis-4 test (FIB-4) is one of the simplest, free of charge, noninvasive scoring tests. We aimed to prospectively measure the prevalence of liver fibrosis in adults with no previously known liver disease and who consulted a general practitioner by FIB-4 score; compare this test to an NAFLD Fibrosis Score (NFS) and Fibrometer (FM); explore the prevalence of risk factors (obesity, diabetes, alcohol, and hypertension) and reconsider a possible cause of liver disease in patients recognized as FIB-4-positive.

METHODS

Over a 6-month period, 40 general practitioners (GPs) offered all their consecutive adult primary care patients with no previously known liver pathology and a liver fibrosis screening via a blood test of three scores.

RESULTS

Among the consecutive 2121 patients included in the study, 39% had a BMI greater than 25 kg/m2, 13% had an alcohol consumption greater than 100 g/week, 10% had type 2 diabetes, and 29% had hypertension. The prevalence of significant liver fibrosis by FIB-4, according to age was 19.1% (95% confidence interval: 17.5-20.9%). By comparison, prevalence was 16.8% (15.0-18.5%) by the NFS and 8.2% (6.9-9.6%) by the FM. A significant relationship was observed between FIB-4 fibrosis risk stages and NFS and FM scores. GPs identified the cause of disease in 2/3 of FIB-4-positive cases, mainly nonalcoholic steatohepatitis.

CONCLUSION

Liver fibrosis was suspected by FIB-4 score in 19.1% of patients with no previously known liver disease. The detection of significant fibrosis by the FIB-4 allowed the GP to suspect liver disease. The FIB-4 score that can be automatically generated should allow earlier recognition of liver disease in the general population.

Long-term environmental cadmium exposure induced serum metabolic changes related to renal and liver dysfunctions in a female cohort from Southwest China

Cadmium (Cd), a toxic heavy mental, has been reported to be correlated with increased incidences of multiple diseases. Only a few studies have paid attention to screen the urine metabolites related to long-term environmental Cd exposure in humans. Research on the Cd exposure-related serum metabolic alternations and biological mechanisms linking Cd exposure to adverse health risks in humans is scanty. In this study, we investigated the serum Cd exposure-related metabolic alternations in a cohort of 101 non-smoking females (two polluted groups and one control group) and 18 Cd exposure-related metabolites were identified. A total of 16 clinical indicators of renal and hepatic functions and bone health were measured. Five health effect biomarkers including serum creatinine, alkaline phosphatase, total bilirubin, direct bilirubin and albumin to globulin ratio that are related to impaired renal and hepatic functions showed significant differences among the three groups and had close correlations with Cd levels. We identified intermediate metabolites that were associated with both Cd exposure and health effect biomarkers using a "meet-in-the-middle" approach. Fourteen Cd exposure-related metabolites in the metabolism of glycerophospholipids, sphingolipids, arachidic acid, linoleic acid and amino acids, were identified to be the intermediates of Cd exposure and the health effect biomarkers. Our findings provided evidence for the linkage of long-term environmental Cd exposure and the renal and hepatic insufficiency.

Uncertainty of Liver Cirrhosis Diagnosis and Use of Elastography

A case of severe jaundice in a patient with a long history of alcohol abuse led to a questionable diagnosis of liver cirrhosis. To determine its diagnostic utility in the setting of liver disease, elastography was utilized on our patient to confirm the clinically suspected diagnosis of cirrhosis.

A 59-year-old male presented to our emergency department (ED) with two days of progressive jaundice and right upper quadrant (RUQ) pain. The patient admitted to drinking > 500 mL of vodka daily for the last seven years, with his last drink on the morning of admission. Physical exam revealed a man in mild acute distress with severe jaundice and an abdomen diffusely tender to palpation. Two spider angiomas were present on the torso along with caput medusae and mild asterixis. Labs revealed aspartate aminotransferase (AST) 408, alanine aminotransferase (ALT) 69, prothrombin time (PT) 16.3, partial thromboplastin time (PTT) 36, total bilirubin 22.6, and direct bilirubin 19.9 mg/dL. While admitted, total bilirubin rose as high as 31.5 mg/dL. Examination showed a Model for End-Stage Liver Disease (MELD) score of 22 and a Maddrey score of 37. Ultrasound revealed moderate hepatosplenomegaly with no signs of pancreatitis.

Based on the patient’s history of alcohol abuse paired with physical exam findings and elevated laboratory markers, we were able to diagnose with a high level of suspicion that this patient was suffering from chronic alcoholic liver disease, exacerbated by an acute episode of alcoholic hepatitis, which led to hepatic encephalopathy. Based on these findings, a diagnosis of liver cirrhosis was suspected; however, this diagnosis required further confirmation. We utilized ultrasound elastography to measure the velocity of shear wave transmission in the liver of our patient. A literature review was conducted on the use of elastography for the diagnosis of liver disease, and a significant correlation between the velocity of shear wave transmission and hepatic histological findings was identified. Elastography revealed a mean velocity of shear wave transmission of 1.77 m/s in our patient. This finding is consistent with a Meta-analysis of Histological Data in Viral Hepatitis (METAVIR) score of F = 4, indicating significant fibrosis and confirming the suspected diagnosis of alcohol-induced liver cirrhosis.

As a non-invasive and inexpensive diagnostic tool, elastography demonstrates significant potential for clinical utility in patients with liver disease. Clinicians may benefit from the use of elastography in diagnosis, while patients may receive both therapeutic and prognostic benefits secondary to its use. In similar cases with clinical uncertainty, elastography can reliably identify the presence of fibrous tissue in the liver without tissue biopsy, thus aiding in clinical diagnoses and enabling the use of optimal therapeutic regimens for future patients.

Diabetes and metabolic dysfunction-associated fatty liver disease

Metabolic dysfunction-associated fatty liver disease (MAFLD) is a relatively novel classification which downplays the importance of alcohol in the definition of non-alcoholic fatty liver disease (NAFLD) and emphasizes the metabolic risk factors that underlie progression of NAFLD-associated pathology. All people with type 2 diabetes (T2D) and hepatic fat content >5% by biomarkers, imaging or biopsy are considered to have MAFLD. Since there have been very few published studies of MAFLD in diabetes, the present review assesses contemporary methods for quantifying liver fat and fibrosis (including those based on magnetic resonance imaging) with special reference to T2D, their prognostic implications for people with T2D and MAFLD, and the factors and interventions that modify disease progression and outcomes. The changing epidemiology of obesity and cardiovascular disease and new therapies for MAFLD on the horizon with potential implications for T2D are discussed.