Fibrosis Progression in Patients With Chronic Hepatitis C Virus Infection

Association of serum lipid profile with liver fibrosis in HCV‑coinfected HIV patients on suppressive anti‑retroviral therapy

Hepatitis C virus (HCV) coinfection in individuals living with human immunodeficiency virus (HIV) (PLWH) may affect lipid metabolism and accelerate the progression of chronic hepatitis. Therefore, the identification of risk factors for progressive liver disease is needed. The present study aimed to examine the prevalence and clinical features associated with liver fibrosis in HCV-coinfected HIV patients, including metabolic markers. A total of 105 patients coinfected with HIV and HCV were recruited and liver fibrosis was assessed using the fibrosis-4 (FIB-4) score and aspartate aminotransferase-to-platelet ratio index (APRI). Logistic regression analyses indicated that patients aged >50 years and with a CD4+ cell count <350 cells/µl had an 11.4-times higher (P=0.001) and a 5.7-times higher (P=0.017) risk of liver fibrosis, as determined by FIB-4 score, compared to patients aged ≤40 years and a CD4+ cell count of ≥350 cells/µl, respectively. In addition, patients naïve to HCV treatment or receiving treatment had 5.4- and 12.7-times higher risks for liver fibrosis, as determined by APRI, than those with sustained virologic response (SVR) (P=0.003 and P=0.033, respectively). Univariate analysis indicated lower risks of liver fibrosis, as determined by APRI, in the patients with abnormally high levels of cholesterol, high-density lipoprotein (HDL) and low-density lipoprotein (LDL) than those with normal levels [odds ratio (OR) 0.3, 95% confidence interval (CI) 0.1-0.9, P=0.037; OR 0.4, 95% CI 0.2-0.9, P=0.041; OR 0.2, 95% CI 0.1-0.5, P=0.001] and multivariate analysis suggested only patients with high levels of LDL had a lower risk for liver fibrosis determined by APRI (OR 0.1, 95% CI 0.3-0.8, P=0.029). Consistently, serum levels of cholesterol, HDL and LDL were significantly lower in the patient groups with more advanced fibrosis, evaluated by FIB-4 score and APRI, than those without liver fibrosis and the levels of cholesterol and LDL in the patients achieving SVR were higher than those with no response or not receiving treatment (all P<0.05). In conclusion, the present study identified serum lipid levels as associated factors of hepatic fibrosis, together with age, CD4+ cell count and HCV treatment status, in HCV-coinfected PLWH on long-term suppressive anti-retroviral therapy.

Review article: Hepatic steatosis and its associations with acute and chronic liver diseases

BACKGROUND

Hepatic steatosis is a common finding in liver histopathology and the hallmark of metabolic dysfunction-associated steatotic liver disease (MASLD), formerly known as non-alcoholic fatty liver disease (NAFLD), whose global prevalence is rising.

AIMS

To review the histopathology of hepatic steatosis and its mechanisms of development and to identify common and rare disease associations.

METHODS

We reviewed literature on the basic science of lipid droplet (LD) biology and clinical research on acute and chronic liver diseases associated with hepatic steatosis using the PubMed database.

RESULTS

A variety of genetic and environmental factors contribute to the development of chronic hepatic steatosis or steatotic liver disease, which typically appears macrovesicular. Microvesicular steatosis is associated with acute mitochondrial dysfunction and liver failure. Fat metabolic processes in hepatocytes whose dysregulation leads to the development of steatosis include secretion of lipoprotein particles, uptake of remnant lipoprotein particles or free fatty acids from blood, de novo lipogenesis, oxidation of fatty acids, lipolysis and lipophagy. Hepatic insulin resistance is a key feature of MASLD. Seipin is a polyfunctional protein that facilitates LD biogenesis. Assembly of hepatitis C virus takes place on LD surfaces. LDs make important, functional contact with the endoplasmic reticulum and other organelles.

CONCLUSIONS

Diverse liver pathologies are associated with hepatic steatosis, with MASLD being the most important contributor. The biogenesis and dynamics of LDs in hepatocytes are complex and warrant further investigation. Organellar interfaces permit co-regulation of lipid metabolism to match generation of potentially toxic lipid species with their LD depot storage.

Contemporary Insights into Hepatitis C Virus: A Comprehensive Review

Hepatitis C virus (HCV) remains a significant global health challenge. Approximately 50 million people were living with chronic hepatitis C based on the World Health Organization as of 2024, contributing extensively to global morbidity and mortality. The advent and approval of several direct-acting antiviral (DAA) regimens significantly improved HCV treatment, offering potentially high rates of cure for chronic hepatitis C. However, the promising aim of eventual HCV eradication remains challenging. Key challenges include the variability in DAA access across different regions, slightly variable response rates to DAAs across diverse patient populations and HCV genotypes/subtypes, and the emergence of resistance-associated substitutions (RASs), potentially conferring resistance to DAAs. Therefore, periodic reassessment of current HCV knowledge is needed. An up-to-date review on HCV is also necessitated based on the observed shifts in HCV epidemiological trends, continuous development and approval of therapeutic strategies, and changes in public health policies. Thus, the current comprehensive review aimed to integrate the latest knowledge on the epidemiology, pathophysiology, diagnostic approaches, treatment options and preventive strategies for HCV, with a particular focus on the current challenges associated with RASs and ongoing efforts in vaccine development. This review sought to provide healthcare professionals, researchers, and policymakers with the necessary insights to address the HCV burden more effectively. We aimed to highlight the progress made in managing and preventing HCV infection and to highlight the persistent barriers challenging the prevention of HCV infection. The overarching goal was to align with global health objectives towards reducing the burden of chronic hepatitis, aiming for its eventual elimination as a public health threat by 2030.

A Markov model of fibrosis development in nonalcoholic fatty liver disease predicts fibrosis progression in clinical cohorts

Disease progression in nonalcoholic steatohepatitis (NASH) is highly heterogenous and remains poorly understood. Fibrosis stage is currently the best predictor for development of end-stage liver disease and mortality. Better understanding and quantifying the impact of factors affecting NASH and fibrosis is essential to inform a clinical study design. We developed a population Markov model to describe the transition probability between fibrosis stages and mortality using a unique clinical nonalcoholic fatty liver disease cohort with serial biopsies over 3 decades. We evaluated covariate effects on all model parameters and performed clinical trial simulations to predict the fibrosis progression rate for external clinical cohorts. All parameters were estimated with good precision. Age and diagnosis of type 2 diabetes (T2D) were found to be significant predictors in the model. Increase in hepatic steatosis between visits was the most important predictor for progression of fibrosis. Fibrosis progression rate (FPR) was twofold higher for fibrosis stages 0 and 1 (F0-1) compared to fibrosis stage 2 and 3 (F2-3). A twofold increase in FPR was observed for T2D. A two-point steatosis worsening increased the FPR 11-fold. Predicted fibrosis progression was in good agreement with data from external clinical cohorts. Our fibrosis progression model shows that patient selection, particularly initial fibrosis stage distribution, can significantly impact fibrosis progression and as such the window for assessing drug efficacy in clinical trials. Our work highlights the increase in hepatic steatosis as the most important factor in increasing FPR, emphasizing the importance of well-defined lifestyle advise for reducing variability in NASH progression during clinical trials.

Hepatitis C virus eradication decreases the risks of liver cirrhosis and cirrhosis-related complications (Taiwanese chronic hepatitis C cohort)

BACKGROUND AND AIM

It is currently unknown how hepatitis C virus (HCV) eradication with pegylated interferon and ribavirin (PR) therapy affects the incidence of new-onset liver cirrhosis (LC) in patients without cirrhosis and the incidence of decompensated liver disease (DLD) or hepatocellular carcinoma (HCC) in patients with cirrhosis.

METHODS

Taiwanese chronic hepatitis C cohort (T-COACH) is a nationwide HCV registry cohort from 23 hospitals in Taiwan recruited between 2003 and 2015. This study enrolled 10 693 patients with chronic hepatitis C (CHC), linked to the Taiwan National Health Insurance Research Database, receiving PR therapy for at least 4 weeks for new-onset LC and liver-related complications (DLD or HCC).

RESULTS

Of the 10 693 patients, 1372 (12.8%) patients had LC, and the mean age was 54.0 ± 11.4 years. The mean follow-up duration was 4.38 ± 2.79 years, with overall 46 798 person-years. The 10-year cumulative incidence rates of new-onset LC were 5.0% (95% confidence interval [CI]: 3.2-7.7) in patients without cirrhosis with a sustained virologic response (SVR) and 21.9% (95% CI: 13.4-32.4) in those without SVR (hazard ratio [HR]: 0.22, P < 0.001). The 10-year cumulative incidence rates of liver-related complications were 21.4% (95% CI: 11.1-37.2) in patients with cirrhosis with SVR and 47.0% (95% CI: 11.1-86.0) in those without SVR after adjustment for age, sex, and competing mortality (HR: 0.52, P < 0.001).

CONCLUSIONS

Hepatitis C virus eradication with PR therapy decreased the incidence of new-onset LC in noncirrhotic patients and the incidence of liver-related complications in cirrhotic patients with CHC.

A Tale of Two Viruses: Immunological Insights Into HCV/HIV Coinfection

Nearly 2.3 million individuals worldwide are coinfected with human immunodeficiency virus (HIV) and hepatitis C virus (HCV). Odds of HCV infection are six times higher in people living with HIV (PLWH) compared to their HIV-negative counterparts, with the highest prevalence among people who inject drugs (PWID) and men who have sex with men (MSM). HIV coinfection has a detrimental impact on the natural history of HCV, including higher rates of HCV persistence following acute infection, higher viral loads, and accelerated progression of liver fibrosis and development of end-stage liver disease compared to HCV monoinfection. Similarly, it has been reported that HCV coinfection impacts HIV disease progression in PLWH receiving anti-retroviral therapies (ART) where HCV coinfection negatively affects the homeostasis of CD4⁺ T cell counts and facilitates HIV replication and viral reservoir persistence. While ART does not cure HIV, direct acting antivirals (DAA) can now achieve HCV cure in nearly 95% of coinfected individuals. However, little is known about how HCV cure and the subsequent resolution of liver inflammation influence systemic immune activation, immune reconstitution and the latent HIV reservoir. In this review, we will summarize the current knowledge regarding the pathogenesis of HIV/HCV coinfection, the effects of HCV coinfection on HIV disease progression in the context of ART, the impact of HIV on HCV-associated liver morbidity, and the consequences of DAA-mediated HCV cure on immune reconstitution and HIV reservoir persistence in coinfected patients.

Artificial Intelligence in Imaging of Chronic Liver Diseases: Current Update and Future Perspectives

Here we review artificial intelligence (AI) models which aim to assess various aspects of chronic liver disease. Despite the clinical importance of hepatocellular carcinoma in the setting of chronic liver disease, we focus this review on AI models which are not lesion-specific and instead review models developed for liver parenchyma segmentation, evaluation of portal circulation, assessment of hepatic fibrosis, and identification of hepatic steatosis. Optimization of these models offers the opportunity to potentially reduce the need for invasive procedures such as catheterization to measure hepatic venous pressure gradient or biopsy to assess fibrosis and steatosis. We compare the performance of these AI models amongst themselves as well as to radiomics approaches and alternate modality assessments. We conclude that these models show promising performance and merit larger-scale evaluation. We review artificial intelligence models that aim to assess various aspects of chronic liver disease aside from hepatocellular carcinoma. We focus this review on models for liver parenchyma segmentation, evaluation of portal circulation, assessment of hepatic fibrosis, and identification of hepatic steatosis. We conclude that these models show promising performance and merit a larger scale evaluation.

Study of CXCL9-11 gene polymorphisms in liver fibrosis among patients with chronic hepatitis C

Several factors are associated with the progression of chronic hepatitis C: comorbidities, lifestyle, and pathogenic factors, including immune response, apoptosis and heredity. Single nucleotide polymorphisms (SNPs) in the PNPLA3 and TM6SF2 genes are more widely studied genetic risk factors, while CXCL9-11 chemokines produced by hepatocytes in the process of infection are less well studied. Our aim was to evaluate the influence of CXCL9 rs10336, CXCL10 rs3921 and CXCL11 rs4619915 in liver fibrosis when analysed together with PNPLA3 rs738409 and TM6SF2 rs58542926. The study included 219 patients with chronic hepatitis C. SNP genotyping was performed by real-time PCR. Univariate and multivariate analyses were used to detect the association between SNPs and advanced fibrosis in a recessive genetic model. All SNPs had a minimum allele frequency >5%, and CXCL9 rs10336, CXCL10 rs3921 and CXCL11 rs4619915 were in high linkage disequilibrium (D' ≥ 0.84). In the multivariate analysis, we observed that male gender (P = 0.000), older age (P = 0.025), moderate to intense inflammatory activity (P = 0.002), moderate to accentuated hepatic steatosis (P = 0.026) and the CT genotype of the TM6SF2 rs58542926 SNP (P = 0.014) presented significant associations with advanced fibrosis. Overall, the CXCL9 rs10336, CXCL10 rs3921, CXCL11 rs4619915 and PNPLA3 rs738409 SNPs did not influence liver fibrosis among patients with chronic hepatitis C.

Machine learning models to predict disease progression among veterans with hepatitis C virus

Background

Machine learning (ML) algorithms provide effective ways to build prediction models using longitudinal information given their capacity to incorporate numerous predictor variables without compromising the accuracy of the risk prediction. Clinical risk prediction models in chronic hepatitis C virus (CHC) can be challenging due to non-linear nature of disease progression. We developed and compared two ML algorithms to predict cirrhosis development in a large CHC-infected cohort using longitudinal data.

Methods and findings

We used national Veterans Health Administration (VHA) data to identify CHC patients in care between 2000–2016. The primary outcome was cirrhosis development ascertained by two consecutive aspartate aminotransferase (AST)-to-platelet ratio indexes (APRIs) > 2 after time zero given the infrequency of liver biopsy in clinical practice and that APRI is a validated non-invasive biomarker of fibrosis in CHC. We excluded those with initial APRI > 2 or pre-existing diagnosis of cirrhosis, hepatocellular carcinoma or hepatic decompensation. Enrollment was defined as the date of the first APRI. Time zero was defined as 2 years after enrollment. Cross-sectional (CS) models used predictors at or closest before time zero as a comparison. Longitudinal models used CS predictors plus longitudinal summary variables (maximum, minimum, maximum of slope, minimum of slope and total variation) between enrollment and time zero. Covariates included demographics, labs, and body mass index. Model performance was evaluated using concordance and area under the receiver operating curve (AuROC). A total of 72,683 individuals with CHC were analyzed with the cohort having a mean age of 52.8, 96.8% male and 53% white. There are 11,616 individuals (16%) who met the primary outcome over a mean follow-up of 7 years. We found superior predictive performance for the longitudinal Cox model compared to the CS Cox model (concordance 0.764 vs 0.746), and for the longitudinal boosted-survival-tree model compared to the linear Cox model (concordance 0.774 vs 0.764). The accuracy of the longitudinal models at 1,3,5 years after time zero also showed superior performance compared to the CS model, based on AuROC.

Conclusions

Boosted-survival-tree based models using longitudinal information are statistically superior to cross-sectional or linear models for predicting development of cirrhosis in CHC, though all four models were highly accurate. Similar statistical methods could be applied to predict outcomes in other non-linear chronic disease states.

Integrated Hepatitis C Care for People Who Inject Drugs (Heplink): Protocol for a Feasibility Study in Primary Care

BACKGROUND

Hepatitis C virus (HCV) infection is a major cause of chronic liver disease and death. Drug use remains the significant cause of new infections in the European Union, with estimates of HCV antibody prevalence among people who inject drugs ranging from 5% to 90% in 29 European countries. In Ireland and the European Union, primary care is a key area to focus efforts to enhance HCV diagnosis and treatment among people who inject drugs.

OBJECTIVE

The Heplink study aims to improve HCV care outcomes among opiate substitution therapy (OST) patients in general practice by developing an integrated model of HCV care and evaluating its feasibility, acceptability, and likely efficacy.

METHODS

The integrated model of care comprises education of community practitioners, outreach of an HCV-trained nurse into general practitioner (GP) practices, and enhanced access of patients to community-based evaluation of their HCV disease (including a novel approach to diagnosis, that is, Echosens FibroScan Mini 430). A total of 24 OST-prescribing GP practices were recruited from the professional networks and databases of members of the research consortium. Patients were eligible if they are aged ≥18 years, on OST, and attend the practice for any reason during the recruitment period. Baseline data on HCV care processes and outcomes were extracted from the clinical records of participating patients.

RESULTS

This study is ongoing and has the potential to make an important impact on patient care and provide high-quality evidence to help GPs make important decisions on HCV testing and onward referral.

CONCLUSIONS

A substantial proportion of HCV-positive patients on OST in general practice are not engaged with specialist hospital services but qualify for direct-acting antiviral drugs treatment. The Heplink model has the potential to reduce HCV-related morbidity and mortality.

REGISTERED REPORT IDENTIFIER

RR1-10.2196/9043.

Genotype-related variations in proinflammatory and regulatory cytokine levels in treated and treatment-naive HCV-infected patients

Hepatitis C virus (HCV) modulates immune-related inflammatory responses to induce milder reactions leading to virus persistence. In this regard, the present study aimed to investigate the link between the HCV genotypes and the proinflammatory and regulatory cytokine levels. Ninety patients with hepatitis C infection (68 treatment-naive and 22 treated patients) and 76 healthy blood donors were studied. The serum levels of IFN-γ, IL-10, IL-17A, and IL-21 were measured by ELISA in the patients and healthy controls. IL-10, IL-17A, and IL-21 levels were significantly higher in HCV patients than in the healthy controls. The same cytokines were also higher in genotype 3a-infected patients compared with genotype 1a-infected patients. Interestingly, in treated patients, lower serum levels of IL-17A and IL-21 were detected in G3a-infected individuals, but not in those infected with G1a. G3a viral load displayed a significant correlation with IL-21 and IL-17A levels. In addition, G1a viral load correlated with IL-10 levels. In G3a-infected patients, a significant association was found between IL-17A serum levels and ALT. We found differences in IL-21 and IL-17A serum levels among HCV-infected patients which were genotype dependent. Since Th17-associated cytokines are associated with the progression of liver disease in HCV patients, IL-17A and IL-21 can be used as important biological markers for evaluating the immunopathogenesis of chronic hepatitis. Our results suggest that HCV G3a along with immune responses such as cytokines in HCV patients should be taken into account when interpreting clinical data and IFN-based therapeutic response.

Medical and Behavioral Approaches to Engage People Who Inject Drugs Into Care for Hepatitis C Virus Infection

Direct-acting antivirals for hepatitis C virus infection may revolutionize treatment among persons with substance use disorders. Despite persons with substance use disorders having the highest hepatitis C virus prevalence and incidence, the vast majority have not engaged into care for the infection. Previously, interferon-based treatments, with substantial side effects and the propensity to exacerbate mental health conditions, were major disincentives to pursuit of care for the infection. Direct-acting antivirals with viral eradication rates of >90%, significantly improved side effect profiles, and shorter treatment duration are dramatic improvements over prior treatment regimens that should promote widespread hepatitis C virus care among persons with substance use disorders. The major unmet need is strategies to promote persons with substance use disorders engagement into care for hepatitis C virus. Although physical integration of treatment for substance use and co-occurring conditions has been widely advocated, it has been difficult to achieve. Telemedicine offers an opportunity for virtual integration of behavioral and medical treatments that could be supplemented by conventional interventions such as hepatitis C virus education, case management, and peer navigation. Furthermore, harm reduction and strategies to reduce viral transmission are important to cease reinfection among persons with substance use disorders. Widespread prescription of therapy for hepatitis C virus infection to substance users will be required to achieve the ultimate goal of global virus elimination. Combinations of medical and behavioral interventions should be used to promote persons with substance use disorders engagement into and adherence with direct-acting antiviral-based treatment approaches. Ultimately, either physical or virtual colocation of hepatitis C virus and substance use treatment has the potential to improve adherence and consequently treatment efficacy.

Update in HIV-hepatitis C virus coinfection in the direct acting antiviral era

PURPOSE OF REVIEW

Availability of direct acting antivirals (DAAs) that demonstrate remarkable clinical efficacy and safety has revolutionized the ability to treat chronic infection with hepatitis C virus (HCV). An equal measure of clinical success has now been achieved in persons coinfected with HCV and the HIV, a historically harder to cure cohort with interferon-based therapy. Global goals include identifying all HIV-HCV-infected persons, gaining access to DAA therapy, preventing de novo and reinfection, and managing the sequelae of chronic infection. This review will discuss advances in the field of HIV-HCV coinfection reported during the last 18 months, and will suggest areas for future investigation.

RECENT FINDINGS

An expanding body of literature has enhanced our understanding of the clinical and epidemiologic issues surrounding HIV-HCV coinfection. DAA therapy for HCV is highly efficacious in HIV-HCV-coinfected persons if drug-drug interactions are appropriately considered.

SUMMARY

Eradicating HCV infection in persons with HIV coinfection can be achieved safely and effectively with available DAAs. Economic and social approaches to enable access and delivery of curative HCV therapy to HIV-infected persons require continued research and resource allocation.

Direct-acting antiviral agents in the therapy of hepatitis C virus-related mixed cryoglobulinaemia: a single-centre experience

BACKGROUND

The efficacy and safety of direct-acting antiviral agents (DAAs) were evaluated in a cohort of prospectively enrolled patients with hepatitis C virus (HCV)-related mixed cryoglobulinaemia (MC), an immune complex-mediated vasculitis of small and medium vessels in which the pathogenetic role of HCV has been clearly established.

METHODS

Twenty-two patients received DAAs. Clinical and laboratory features were recorded at baseline, every 4 weeks until the end of treatment (EoT), and 12 weeks afterwards. Primary efficacy endpoints were (a) sustained virological response 12 weeks after therapy completion (SVR12), (b) regression of symptomatology (clinical response) and (c) cryoglobulin disappearance or cryocrit reduction ≥50% (immunological response). Complete response (CR) was defined as the occurrence of all three primary endpoints; partial response (PR) was defined as the occurrence of SVR12, with or without either immunological or clinical response; and no response was defined as missing the achievement of all three endpoints.

RESULTS

All patients reached SVR12. Compared with basal values, mean cryocrit values were significantly decreased at EoT and SVR12. A significant reduction of alanine transaminase and a parallel increase of complement component C4 levels were also detected. Rheumatoid factor activity was significantly reduced at EoT but not at SVR12. At SVR12, a CR was established in 14 patients (63.7%) and a PR in 8 patients (36.3%). In one patient with small lymphocytic lymphoma, the tumour progressed despite viral clearance. Mild adverse events were recorded in nine patients (40.9%).

CONCLUSIONS

The response rates induced by the use of DAAs in patients with MC were remarkably higher than those previously achieved with pegylated interferon-α/ribavirin, with or without rituximab. A much longer follow-up is desirable to achieve useful information in terms of persistent viral clearance and clinical response.

Cost Effectiveness and Cost Containment in the Era of Interferon-Free Therapies to Treat Hepatitis C Virus Genotype 1

Background

Interferon-free regimens to treat hepatitis C virus (HCV) genotype 1 are effective but costly. At this time, payers in the United States use strategies to control costs including (1) limiting treatment to those with advanced disease and (2) negotiating price discounts in exchange for exclusivity.

Methods

We used Monte Carlo simulation to investigate budgetary impact and cost effectiveness of these treatment policies and to identify strategies that balance access with cost control. Outcomes included nondiscounted 5-year payer cost per 10000 HCV-infected patients and incremental cost-effectiveness ratios.

Results

We found that the budgetary impact of HCV treatment is high, with 5-year undiscounted costs of $1.0 billion to 2.3 billion per 10000 HCV-infected patients depending on regimen choices. Among noncirrhotic patients, using the least costly interferon-free regimen leads to the lowest payer costs with negligible difference in clinical outcomes, even when the lower cost regimen is less convenient and/or effective. Among cirrhotic patients, more effective but costly regimens remain cost effective. Controlling costs by restricting treatment to those with fibrosis stage 2 or greater disease was cost ineffective for any patient type compared with treating all patients.

Conclusions

Treatment strategies using interferon-free therapies to treat all HCV-infected persons are cost effective, but short-term cost is high. Among noncirrhotic patients, using the least costly interferon-free regimen, even if it is not single tablet or once daily, is the cost-control strategy that results in best outcomes. Restricting treatment to patients with more advanced disease often results in worse outcomes than treating all patients, and it is not preferred.