Metabolic and cardiovascular complications after virological cure in hepatitis C: What awaits beyond

Risk of Incident Type 2 Diabetes and Prediabetes in Patients With Direct Acting Antiviral-Induced Cure of Hepatitis C Virus Infection

BACKGROUND

Data regarding the risk of incident type 2 diabetes (T2D) and prediabetes among patients with hepatitis C virus (HCV) achieving direct-acting antivirals (DAAs)-induced sustained virologic response (SVR12) remains limited.

METHODS

A total of 1079 patients, including 589 with normoglycemia and 490 with prediabetes, who underwent biannual fasting glucose and glycosylated haemoglobin (HbA1c) assessment for a median post-SVR12 follow-up of 5.5 years, were enrolled. We reported the crude (cIRs) and age-standardised incidence rates (ASIRs) of T2D and prediabetes. Factors associated with incident T2D and prediabetes were assessed using the Cox proportional hazards models.

RESULTS

The cIRs of T2D and prediabetes were 1.18 and 8.99 per 100 person-years of follow-up (PYFU), respectively. Additionally, the ASIRs of T2D and prediabetes were 1.09 (95% CI: 0.76-1.53) and 8.47 (95% CI: 7.23-9.90) per 100 PYFU. Prediabetes (adjusted hazard ratio [aHR]: 4.71; 95% confidence interval (CI): 2.55-8.70, p < 0.001), body mass index (BMI) per kg/m2 increase (aHR: 1.17; 95% CI: 1.09-1.26, p < 0.001) and liver stiffness measurement (LSM) per kPa increase (aHR: 1.05; 95% CI: 1.02-1.09, p = 0.001) were associated with a higher risk of incident T2D. Age per year increase (aHR: 1.02; 95% CI: 1.01-1.03, p < 0.001) was associated with a higher risk of incident prediabetes.

CONCLUSION

The incidence rates of T2D and prediabetes remain substantial among patients after HCV eradication. Lifestyle modification, drug therapy and regular monitoring of glycemic status are crucial for patients at risk of developing T2D and prediabetes following HCV clearance.

Consensus on the key characteristics of metabolism disruptors

Metabolism-disrupting agents (MDAs) are chemical, infectious or physical agents that increase the risk of metabolic disorders. Examples include pharmaceuticals, such as antidepressants, and environmental agents, such as bisphenol A. Various types of studies can provide evidence to identify MDAs, yet a systematic method is needed to integrate these data to help to identify such hazards. Inspired by work to improve hazard identification of carcinogens using key characteristics (KCs), we developed 12 KCs of MDAs based on our knowledge of processes underlying metabolic diseases and the effects of their causal agents: (1) alters function of the endocrine pancreas; (2) impairs function of adipose tissue; (3) alters nervous system control of metabolic function; (4) promotes insulin resistance; (5) disrupts metabolic signalling pathways; (6) alters development and fate of metabolic cell types; (7) alters energy homeostasis; (8) causes inappropriate nutrient handling and partitioning; (9) promotes chronic inflammation and immune dysregulation in metabolic tissues; (10) disrupts gastrointestinal tract function; (11) induces cellular stress pathways; and (12) disrupts circadian rhythms. In this Consensus Statement, we present the logic that revealed the KCs of MDAs and highlight evidence that supports the identification of KCs. We use chemical, infectious and physical agents as examples to illustrate how the KCs can be used to organize and use mechanistic data to help to identify MDAs.

Proprotein convertase subtisilin/kexin 9 levels decline with hepatitis C virus therapy in people with HIV/hepatitis C virus and correlate with inflammation

BACKGROUND

Proprotein convertase subtisilin/kexin 9 (PCSK9) raises low-density lipoprotein cholesterol (LDL-C) levels and is associated with inflammation, which is elevated in HIV and hepatitis C virus (HCV) infection. We compared PCSK9 levels in people with co-occurring HIV and HCV (HIV/HCV) vs. HIV alone, and evaluated the impact of HCV direct-acting antiviral (DAA) therapy on PCSK9.

DESIGN

A prospective, observational cohort study.

METHODS

Thirty-five adults with HIV/HCV and 37 with HIV alone were evaluated, all with HIV virologic suppression and without documented cardiovascular disease. Circulating PCSK9 and inflammatory biomarkers were measured at baseline and following HCV treatment or at week 52 (for HIV alone) and compared using Wilcoxon tests and Spearman correlations.

RESULTS

At baseline, PCSK9 trended higher in HIV/HCV vs. HIV alone (307 vs. 284 ng/ml, P  = 0.06). Twenty-nine participants with HIV/HCV completed DAA therapy with sustained virologic response. PCSK9 declined from baseline to posttreatment 1 (median 7.3 weeks after end of therapy [EOT]) and posttreatment 2 (median 43.5 weeks after EOT), reaching levels similar to HIV alone; median within-person reduction was -60.5 ng/ml ( P  = 0.003) and -55.6 ng/ml ( P  = 0.02), respectively. Decline in PCSK9 correlated with decline in soluble (s)E-selectin and sCD163 ( r  = 0.64, P  = 0.002; r  = 0.58, P  = 0.008, respectively), but not with changes in LDL-C or other biomarkers. No significant change in PCSK9 occurred in the HIV alone group over 52 weeks.

CONCLUSION

PCSK9 declined with DAA therapy in participants with HIV/HCV, correlating with declines in several inflammatory biomarkers but not LDL-C. Elevated PCSK9 with HCV may be linked to particular HCV-associated inflammatory pathways more so than cholesterol homeostasis.

Hepatitis C Virus-Lipid Interplay: Pathogenesis and Clinical Impact

Hepatitis C virus (HCV) infection represents the major cause of chronic liver disease, leading to a wide range of hepatic diseases, including cirrhosis and hepatocellular carcinoma. It is the leading indication for liver transplantation worldwide. In addition, there is a growing body of evidence concerning the role of HCV in extrahepatic manifestations, including immune-related disorders and metabolic abnormalities, such as insulin resistance and steatosis. HCV depends on its host cells to propagate successfully, and every aspect of the HCV life cycle is closely related to human lipid metabolism. The virus circulates as a lipid-rich particle, entering the hepatocyte via lipoprotein cell receptors. It has also been shown to upregulate lipid biosynthesis and impair lipid degradation, resulting in significant intracellular lipid accumulation (steatosis) and circulating hypocholesterolemia. Patients with chronic HCV are at increased risk for hepatic steatosis, dyslipidemia, and cardiovascular disease, including accelerated atherosclerosis. This review aims to describe different aspects of the HCV viral life cycle as it impacts host lipoproteins and lipid metabolism. It then discusses the mechanisms of HCV-related hepatic steatosis, hypocholesterolemia, and accelerated atherosclerosis.

Extrahepatic manifestations of chronic viral hepatitis C

Chronic viral diseases of the liver are frequently characterized by clinical signs of intrahepatic complications. Infection caused by the hepatitis C virus should be considered as a systemic disorder associated with the frequent development of various extrahepatic complications, such as cryoglobulinemia, glomerulopathy, lymphoproliferative diseases, seronegative arthritis, type 2 diabetes mellitus, lichen planus, and late cutaneous porphyria. Often, extrahepatic complications become the main features of the clinical disease picture, forcing patients to seek medical help from various specialists and delaying diagnosis. In some cases, the treatment of extrahepatic manifestations becomes an independent, complex task, surpassing the actual treatment of chronic hepatitis C. The relationship between hepatic and extrahepatic complications of viral hepatitis C is not linear; rather, extrahepatic manifestations often outstrip the development of liver damage. The effects of hepatitis C virus on the organs and systems of the body are caused by the direct action of the virus, pathogenetically induced by the development of steatosis/steatohepatitis, and by the disruption of system regulation of hepatokines and cytokines. Treatment of chronic hepatitis C virus infection should be comprehensive and should include antiviral therapy, treatment of metabolic-associated fatty liver disease and treatment of hepatic-related disorders. Antiviral therapy with preparations of direct antiviral action allows the prevention of not only liver complications but also of many extrahepatic complications of hepatitis C virus. Comorbid states significantly increase the natural progression of chronic hepatitis C infection and vice versa: the hepatitis C virus increases the clinical manifestations of co-pathology. In the age of direct antiviral drugs, it is possible to eliminate the hepatitis C virus, but in some cases, elimination alone does not arrest the progression of liver disease.

Two differentially methylated region networks in nonalcoholic fatty liver disease, viral hepatitis, and hepatocellular carcinoma

Background

We previously reported that two differentially methylated region (DMR) networks identified by DMR and co-methylation analyses are strongly correlated with the fibrosis stages of nonalcoholic fatty liver disease (NAFLD). In the current study, we examined these DMR networks in viral hepatitis and hepatocellular carcinoma (HCC).

Methods

We performed co-methylation analysis of DMRs using a normal dataset (GSE48325), two NAFLD datasets (JGAS000059 and GSE31803), and two HCC datasets (GSE89852 and GSE56588). The dataset GSE60753 was used for validation.

Results

One DMR network was clearly observed in viral hepatitis and two HCC populations. Methylation levels of genes in this network were higher in viral hepatitis and cirrhosis, and lower in HCC. Fatty acid binding protein 1 (FABP1), serum/glucocorticoid regulated kinase 2 (SGK2), and hepatocyte nuclear factor 4 α (HNF4A) were potential hub genes in this network. Increased methylation levels of the FABP1 gene may be correlated with reduced protection of hepatocytes from oxidative metabolites in NAFLD and viral hepatitis. The decreased methylation levels of SGK2 may facilitate the growth and proliferation of HCC cells. Decreased methylation levels of HNF4A in HCC may be associated with tumorigenesis. The other DMR network was observed in NAFLD, but not in viral hepatitis or HCC. This second network included genes involved in transcriptional regulation, cytoskeleton organization, and cellular proliferation, which are specifically related to fibrosis and/or tumorigenesis in NAFLD.

Conclusions

Our results suggest that one DMR network was associated with fibrosis and tumorigenesis in both NAFLD and viral hepatitis, while the other network was specifically associated with NAFLD progression. Furthermore, FABP1, SGK2, and HNF4A are potential candidate targets for the prevention and treatment of HCC.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12876-022-02360-4.

Efficacy and safety of sequential therapy with sorafenib and regorafenib for advanced hepatocellular carcinoma: a two-center study in China

BACKGROUND

Regorafenib is a standard 2nd-line treatment for patients with advanced hepatocellular carcinoma (HCC), but the efficacy and safety of sequential therapy with sorafenib and regorafenib among advanced HCC patients in China is not clear.

METHODS

This was a retrospective, two-center, cohort study of advanced HCC patients who received sequential therapy of sorafenib and regorafenib from October 2018 to April 2020 at 2 Chinese institutions. The patients were converted directly to regorafenib after failing to respond to sorafenib monotherapy. The patients underwent evaluations every 4-6 weeks to determine the efficacy and safety of the treatment according to physiological, laboratory, and radiological results. A radiological evaluation using computed tomography or magnetic resonance imaging scans was conducted. The outcomes included overall survival (OS) and progression-free survival (PFS).

RESULTS

A total of 43 patients received regorafenib as a 2nd-line treatment after sorafenib progression. Of these patients, 26 (60.5%) and 17 (39.5%) were diagnosed with Barcelona Clinic Liver Cancer (BCLC) stages B and C, respectively. The median PFS was 11.0 [95% confidence interval (CI): 5.8-16.2] months, and the median OS was 17.0 (95% CI: 12.8-21.2) months. Conversely, the most common toxicities were hand-foot skin reaction (48.8%), diarrhea (32.6%), and hypertension (14%). The most common grade 3-4 toxicities were hypoalbuminemia (4.7%), anemia (4.7%), and thrombocytopenia (4.7%). Alpha-fetoprotein (AFP) ≥400, alanine transaminase (ALT) ≥60 IU/L, and aspartate aminotransferase (AST) ≥60 IU/L before 2nd-line treatment were associated with PFS in the univariable analyses. The Cox proportional-hazards regression analysis showed that AFP [hazard ratio (HR) =0.225; 95% CI: 0.073-0.688; P=0.009], ALT (HR =0.195; 95% CI: 0.051-0.741; P=0.016), AST (HR =0.209; 95% CI: 0.063-0.697; P=0.011), and presence of extrahepatic metastasis (HR =0.074; 95% CI: 0.009-0.608; P=0.015) before 2nd-line treatment were independently associated with PFS.

CONCLUSIONS

The sequential therapy of sorafenib and regorafenib is well-tolerated and effective in advanced HCC patients after sorafenib progression based on our two-center real-world data. Patients with good liver function reserve and a high level of AFP before 2nd-line treatment may benefit from sequential treatment. These results still need further validation.

Predictive Factors for Hepatocellular Carcinoma Development after Direct-Acting Antiviral Treatment of HCV

Chronic hepatitis C virus infection is still one of the major risk factors for the development of hepatocellular carcinoma (HCC), the most frequent type of primary liver cancer. Direct-acting antivirals have substantially improved the cure rate of the virus, but the risk of hepatitis C virus-related HCC remains high, mainly in patients with advanced liver fibrosis and cirrhosis. HCC is often asymptomatic and, therefore, remains undetected until the late tumor stage, which is associated with poor survival rates. Therefore, to improve the surveillance programs following HCV eradication, there is a need to summarize predictive factors or potential biomarkers, to specifically identify patients likely to develop HCC after direct-acting antiviral treatment. This review outlines the most recent data about different predictive factors for HCC development after direct-acting antiviral treatment of hepatitis C virus-infected patients, to improve the clinical management of patients with chronic hepatitis C virus.