Liver Hepatocellular Carcinoma Research Articles

Micro RNA 155 and Its Target Gene CTLA4 As a New Biomarker for Lymphocyte ‎Activation in HCV-Induced Liver Fibrosis and Hepatocellular Carcinoma

Micro RNA 155 and Its Target Gene CTLA4 As a New Biomarker for Lymphocyte ‎Activation in HCV-Induced Liver Fibrosis and Hepatocellular Carcinoma

RNA-seq identifies Amd1 as a regulator of hepatocyte proliferation via Skp2 during liver development and hepatocellular carcinoma progression in zebrafish

RNA-seq identifies Amd1 as a regulator of hepatocyte proliferation via Skp2 during liver development and hepatocellular carcinoma progression in zebrafish

Ferroptosis and liver diseases

As the central organ of metabolism, the liver plays a pivotal role in the regulation of the synthesis and metabolism of various nutrients within the body. Ferroptosis, as a newly discovered type of programmed cell death caused by the accumulation of iron-dependent lipid peroxides, is involved in the physiological and pathological processes of a variety of acute and chronic liver diseases. Ferroptosis can accelerate the pathogenetic process of acute liver injury, metabolic associated fatty liver disease, alcoholic liver disease, viral hepatitis, and autoimmune hepatitis; while it can slower disease progression in advanced liver fibrosis and hepatocellular carcinoma. This suggests that targeted regulation of ferroptosis may impact the occurrence and development of various liver diseases. This article reviews the latest research progress of ferroptosis in various liver diseases, including acute liver injury, metabolic associated fatty liver disease, alcoholic liver disease, viral hepatitis, autoimmune hepatitis, liver fibrosis and hepatocellular carcinoma. It aims to provide insights for the prevention and treatment of acute and chronic liver diseases through targeting ferroptosis.

Gut Microbiota as Mediator and Moderator Between Hepatitis B Virus and Hepatocellular Carcinoma: A Prospective Study.

The impact of gut microbiome on hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC) is unclear. We aimed to evaluate the potential correlation between gut microbiome and HBV-related HCC and introduced novel machine learning (ML) signatures based on gut microbe to predict the risk of HCC. A total of 640 patients with chronic liver diseases or HCC were prospectively recruited between 2019 and 2022. Fecal samples were collected and subjected to 16S rRNA gene sequencing. Univariate and multivariate logistic regression was applied to identify risk characteristics. Several ML methods were employed to construct gut microbe-based models and the predictive performance was evaluated. A total of 571 patients were involved in the study, including 374 patients with HCC and 197 patients with chronic liver diseases. After the propensity score matching method, 147 pairs of participants were enrolled in the analysis. Bacteroidia and Bacteroidales were demonstrated to exert mediating effects between HBV and HCC, and the moderating effects varied across Bacilli, Lactobacillales, Erysipelotrichaceae, Actinomyces, and Roseburia. HBV, alpha-fetoprotein, alanine transaminase, triglyceride, and Child-Pugh were identified as independent risk factors for HCC occurrence. Seven ML-based HBV-gut microbe models were established to predict HCC, with AUCs ranging from 0.821 to 0.898 in the training set and 0.813-0.885 in the validation set. Furthermore, the merged clinical-HBV-gut microbe models exhibited a comparable performance to HBV-gut microbe models. Gut microbes are important factors between HBV and HCC through its potential mediating and moderating effects, which can be used as valuable biomarkers for the pathogenesis of HBV-related HCC.

Contradictory Role of Gadd45β in Liver Diseases.

There are three homologous proteins (α, β and γ) in the growth arrest and DNA damage 45 (Gadd45) family. These proteins act as cellular responders to physiological and environmental stimuli. Gadd45β plays a significant role in the pathogenesis of liver diseases. Liver injury and growth stimulation increase expression of Gadd45β, which promotes cell survival, growth and proliferation in normal liver cells. By contrast, Gadd45β plays a role in promoting apoptosis and inhibiting tumour function in hepatocellular carcinoma (HCC). Currently, it is believed that Gadd45β benefits the liver through two different pathways: binding to MAPK kinase 6 (MKK6) to increase PCD induced by p38 (inhibiting tumours) or binding to constitutive androstane receptor (CAR) to jointly activate transcription of liver synthesis metabolism (promoting liver regeneration). This article aims to systematically review the role of Gadd45β in liver diseases, including its regulatory mechanism on expression and involvement in liver cell damage, inflammation, fibrosis and HCC. In conclusion, we explore the potential of targeting Gadd45β as a therapeutic strategy for liver diseases.

Pan-cancer analysis combined with experimental validation revealed that KTN1 is an immunological and prognostic biomarker.

Kinectin 1 (KTN1) is a membrane protein involved in intracellular organelle motility. However, the role of KTN1 in human pan-cancer lacks systematic analysis and evaluation. The aim of this study is to evaluate the expression profile and clinical value in human cancers by performing a pan-cancer analysis of KTN1. The expression of KTN1 and its correlation with cancer-associated fibroblasts (CAFs) infiltration were analyzed in TIMER2.0. The survival analysis, pathological stage correlation, and co-expression gene correlation analysis of KTN1 were performed on GEPIA2.0. We investigated the protein expression level of KTN1 in tumors through UALCAN. The cBioportal platform was used to analyze the variation frequency and type of KTN1. We used STRING database for protein-protein interaction (PPI) network analysis. Cell Counting Kit-8 (CCK8) and colony formation and transwell assay were performed to investigate the proliferation and migration abilities of head and neck squamous cell carcinoma (HNSC) cells with KTN1 knockdown. KTN1 was differentially expressed in 12 kinds of cancer tissues compared with correspondent normal tissues. Meanwhile, the high expression of KTN1 was negatively correlated with the prognosis of HNSC, adrenocortical carcinoma (ACC), and liver hepatocellular carcinoma (LIHC). Further analysis suggested that patients with KTN1 mutations had better overall survival (OS) and progression-free survival than those without mutations among several cancers. Moreover, the level of CAFs and KTN1 expression were significantly correlated in 12 types of cancer. Mechanically, co-expression analysis showed the positive association between KTN1 and KTN1 antisense RNA 1 (KTN1-AS1), MNAT1 component of CDK activating kinase (MNAT1), N-alpha-acetyltransferase 30 (NAA30), protein phosphatase 2 regulatory subunit B'epsilon (PPP2R5E), and proteasome 26S subunit (PSMC6), which are mainly involved in the protein kinase AMP-activated catalytic subunit alpha 1 (AMPK) signaling pathway that regulates the progression of tumors. The functional experiment revealed that KTN1 promotes the proliferation and metastasis of HNSC cells. The pan-cancer analysis of KTN1 revealed its significance in different cancers, which provides a new marker for the diagnosis and prognosis of cancers.

5-Hydroxytryptamine G-Protein-Coupled Receptor Family Genes: Key Players in Cancer Prognosis, Immune Regulation, and Therapeutic Response.

Firstly, 5-hydroxytryptamine G-protein-coupled receptors (HTGPCRs) are a family of 13 genes associated with cancer progression. Nevertheless, a comprehensive understanding of HTGPCRs in cancer remains largely lacking. We tested the gene expression levels and prognostic values for the HTGPCRs in relation to pan-cancer. A subsequent analysis examined the relationships among HTGPCR expression and clinical characteristics, immune subtypes, stemness scores, tumor microenvironments (TMEs), single-cell analyses, and drug sensitivity. A significant difference in HTGPCR expression was found between normal tissues and tumors. HTR1D/2C expressed higher levels in breast invasive carcinoma (BRCA), colon adenocarcinoma, and liver hepatocellular carcinoma. HTGPCR gene expression was correlated with prognosis in many cancers. HTR1D/2C were associated with poorer overall survival for head and neck squamous cell carcinoma. In addition, HTGPCR expression correlated significantly with the stemness scores of RNA and DNA, TMB, and MSI, as well as stromal and immune scores of pan-cancer patients. Additionally, the expression of HTR2A/2B/7 was correlated significantly with immune cells and immune checkpoint genes in a variety of cancers, such as BRCA, brain lower-grade glioma, and lung adenocarcinoma. Immune regulation and TME were both regulated by HTGPCRs. Using single-cell analysis, we found that the gene set of HTGPCRs correlated with many cancer-related functional states in retinoblastoma. Moreover, drug sensitivity and HTR4 were significantly correlated. Furthermore, we validated results in breast cancer and found knockdown of HTR1D inhibited breast cancer cell growth and metastasis. As prognostic indicators, HTGPCRs hold considerable promise and offer insights into the therapeutic targets for malignancy.

Recurrence and influencing factors of hepatitis B surface antigen seroclearance induced by peginterferon alpha-based regimens.

The long-term stability of hepatitis B surface antigen (HBsAg) seroclearance following peginterferon alpha (peg-IFN-α)-based therapy has not been extensively studied, leaving the full potential and limitations of this strategy unclear. To assess HBsAg recurrence after seroclearance achieved by peg-IFN-α regimens. This prospective, multicenter, observational study was conducted from November 2015 to June 2021 at three Chinese hospitals: The Second Affiliated Hospital of Xi'an Jiaotong University, Ankang Central Hospital, and The Affiliated Hospital of Yan'an University. Participants who achieved HBsAg seroclearance following peg-IFN-α-based treatments were monitored every 4-12 weeks post-treatment for hepatitis B virus (HBV) markers, HBV DNA, and liver function. The primary outcome was HBV recurrence, defined as the reemergence of HBsAg, HBV DNA, or both, at least twice within 4-8 weeks of follow-up. In total, 121 patients who achieved HBsAg seroclearance were enrolled. After a median follow-up of 84.0 (48.0, 132.0) weeks, four subjects were lost to follow-up. HBsAg recurrence was detected in 16 patients. The cumulative HBsAg recurrence rate in the intention-to-treat population was 15.2%. Multivariate logistic regression analysis demonstrated that consolidation time < 12 weeks [odds ratio (OR) = 28.044, 95%CI: 4.525-173.791] and hepatitis B surface antibody disappearance during follow-up (OR = 46.445, 95%CI: 2.571-838.957) were strong predictors of HBsAg recurrence. HBV DNA positivity and decompensation of liver cirrhosis and hepatocellular carcinoma were not observed. HBsAg seroclearance following peg-IFN-α treatment was durable over 84 weeks of follow-up with a cumulative recurrence rate of 15.2%.

Role of CALCR expression in liver cancer: Implications for the immunotherapy response.

Liver hepatocellular carcinoma (LIHC) is a prevalent and lethal malignancy with a complex molecular landscape. Fibrosis and ferroptosis are implicated in LIHC progression, yet their roles remain to be elucidated. The present study investigated the expression and prognostic significance of calcitonin receptor (CALCR), a gene that intersects the pathways of fibrosis and ferroptosis, across LIHC and other types of cancer. Data were obtained from The Cancer Genome Atlas and the Molecular Signatures Database. LIHC patients were classified into two clusters based on fibrosis‑related gene expression using ConsensusClusterPlus. Single‑sample gene set enrichment analysis was employed to quantify fibrosis and ferroptosis levels. Correlation, survival and nomogram analyses were performed to assess the prognostic value of CALCR. Additionally, single‑cell RNA sequencing data from the Tumor Immune Single Cell Hub 2 (TISCH2) and pan‑cancer analyses of genomic heterogeneity features were incorporated. The present study also identified a putative regulatory role for CALCR in LIHC cell migration, proliferation and apoptosis. CALCR was identified as a significant prognostic marker for LIHC. Patients with high CALCR expression exhibited shortened overall survival (OS) and disease‑specific survival (DSS). Specifically, the hazard ratios (HRs) for OS and DSS were 1.76 [95% confidence interval (CI): 1.23=2.49) and 1.77 (95% CI: 1.13=2.78], respectively, with corresponding P‑values of 0.002 for OS and 0.013 for DSS. Analyses of immune cell infiltration revealed a more complex immune environment in patients with low CALCR expression, suggesting differential responses to immunotherapy. Furthermore, in HepG‑2 and HuH‑7 cells, small interfering (si)‑CALCR increased apoptosis while reducing proliferation and migration compared with si‑negative control. CALCR serves as a significant prognostic biomarker for LIHC, influencing both molecular pathways and the immune landscape. Its expression is associated with improved survival outcomes and distinct genomic features, positioning it as a potential therapeutic target and predictor of immunotherapy efficacy.

PartIES: a disease subtyping framework with Partition-level Integration using diffusion-Enhanced Similarities from multi-omics Data.

Integrating multi-omics data helps identify disease subtypes. Many similarity-based methods were developed for disease subtyping using multi-omics data, with many of them focusing on extracting common clustering structures across multiple types of omics data, but not preserving data-type-specific clustering structures. Moreover, clustering performance of similarity-based methods is affected when similarity measures are noisy. Here we proposed PartIES, a Partition-level Integration using diffusion-Enhanced Similarities to perform disease subtyping using multi-omics data. PartIES uses diffusion to reduce noises in individual similarity/kernel matrices from individual omics data types first, and then extract partition information from diffusion-enhanced similarity matrices and integrate the partition-level similarity through a weighted average iteratively. Simulation studies showed that (1) the diffusion step enhances clustering accuracy, and (2) PartIES outperforms competing methods, particularly when omics data types provide different clustering structures. Using mRNA, long noncoding RNAs, microRNAs expression data, DNA methylation data, and somatic mutation data from The Cancer Genome Atlas project, PartIES identified subtypes in bladder urothelial carcinoma, liver hepatocellular carcinoma, and thyroid carcinoma that are most significantly associated with patient survival across all methods. Further investigations suggested that among subtype-associated genes, many of those that are highly interacting with other genes are known important cancer genes. The identified cancer subtypes also have different activity levels for some known cancer-related pathways. The R code can be accessed at https://github.com/yuqimiao/PartIES.git.

Integrated single-cell and bulk RNA sequencing reveals immune-related SPP1+ macrophages as a potential strategy for predicting the prognosis and treatment of liver fibrosis and hepatocellular carcinoma.

Liver fibrosis is a pathological response to liver damage induced by multiple etiologies including NASH and CCl4, which may further lead to cirrhosis and hepatocellular carcinoma (HCC). Despite the increasing understanding of liver fibrosis and HCC, clinical prognosis and targeted therapy remain challenging. This study integrated single-cell sequencing analysis, bulk sequencing analysis, and mouse models to identify highly expressed genes, cell subsets, and signaling pathways associated with liver fibrosis and HCC. Clinical prediction models and prognostic genes were established and verified through machine learning, survival analysis, as well as the utilization of clinical data and tissue samples from HCC patients. The expression heterogeneity of the core prognostic gene, along with its correlation with the tumor microenvironment and prognostic outcomes, was analyzed through single-cell analysis and immune infiltration analysis. In addition, the cAMP database and molecular docking techniques were employed to screen potential small molecule drugs for the treatment of liver fibrosis and HCC. We identified 40 pathogenic genes, 15 critical cell subsets (especially Macrophages), and regulatory signaling pathways related to cell adhesion and the actin cytoskeleton that promote the development of liver fibrosis and HCC. In addition, 7 specific prognostic genes (CCR7, COL3A1, FMNL2, HP, PFN1, SPP1 and TENM4) were identified and evaluated, and expression heterogeneity of core gene SPP1 and its positive correlation with immune infiltration and prognostic development were interpreted. Moreover, 6 potential small molecule drugs for the treatment of liver fibrosis and HCC were provided. The comprehensive investigation, based on a bioinformatics and mouse model strategy, may identify pathogenic genes, cell subsets, regulatory mechanisms, prognostic genes, and potential small molecule drugs, thereby providing valuable insights into the clinical prognosis and targeted treatment of liver fibrosis and HCC.

Response to Bridging Therapy as a Prognostic Indicator of Post-Transplantation Hepatocellular Carcinoma Recurrence and Survival: A Systematic Review.

Liver transplantation (LT) is one of the most effective treatments for hepatocellular carcinoma (HCC) in cirrhotic livers. Neoadjuvant bridging treatment in patients qualifying and listed for LT is advised but is still debatable owing to the low level of evidence. The aim of this study was to perform a systematic review to assess the prognostic value of bridging therapy, in terms of radiological and histopathological examination outcomes, for survival after LT. The systematic review was performed according to the PRISMA 2020 guidelines. The MEDLINE and Web of Science databases were searched. In total, five studies were included. An evaluation with the ROBINS-I resulted in studies classified as the following: moderate risk of bias (n = 1) and serious risk of bias (n = 4). The results of the analysis indicated that favorable LT outcomes were most common with complete response or partial radiological response. Poor radiological response or progressive disease during bridging treatment was generally associated with worse overall LT survival. There were not enough data to support the use of this approach to achieve a complete pathologic response. Radiological, pathological, histological, cellular, and molecular tumor features should be included in future LT qualification models.

Comparison of anti-HCV combined with HCVcAg (Elecsys HCV Duo immunoassay) and anti-HCV rapid test followed by HCV RNA analysis using qRT-PCR to identify active infection for treatment.

Hepatitis C virus (HCV) infection can cause acute and chronic hepatitis, leading to liver cirrhosis and hepatocellular carcinoma. The World Health Organization aims to eliminate viral hepatitis by 2030 through extensive screening and treatment. To achieve this goal, comprehensive and widespread screening is essential for diagnosis and treatment. This study aims to evaluate the diagnostic sensitivity and specificity of the Elecsys® HCV Duo immunoassay (Duo-assay), which simultaneously detects anti-HCV antibodies (Duo/anti-HCV) and HCV core antigen (Duo/HCVcAg) in a single sample, compared with initially antibody testing followed by quantitative real-time polymerase chain reaction (qRT-PCR). Additionally, this study aimed to evaluate a relationship between Duo/HCVcAg and qRT-PCR assay in different genotypes. A total of 769 plasma samples were tested using the Duo-assay to further evaluate the test's performance and conduct Duo/HCVcAg correlation analysis using qRT-PCR for each genotype. Among the active infection group (anti-HCV+/RNA+; n = 473), the Duo-assay showed 100% sensitivity for detecting Duo/anti-HCV and 70.6% for Duo/HCVcAg. In the resolved infection group (anti-HCV+/RNA-; n = 176), the assay showed 100% sensitivity for Duo/anti-HCV and 100% specificity for Duo/HCVcAg. In the non-infected group (anti-HCV-/RNA-; n = 120), the assay showed 100% specificity for both Duo/anti-HCV and Duo/HCVcAg. Moreover, no correlation was observed between the Duo/HCVcAg and HCV RNA tests, irrespective of genotype. These findings indicate that the Duo-assay is highly sensitive for detecting anti-HCV and specifically identifies patients with active infection. Nevertheless, cases with anti-HCV+/HCVcAg-results should undergo additional confirmation with western blot/immunoblot and qRT-PCR to ensure diagnostic accuracy, especially in Blood donation facilities.

Dynamic Profiles of Internal m7G Methylation on mRNAs in the Progression from HBV Infection to Hepatocellular Carcinoma.

Emerging evidence indicates a robust association between internal RNA N7-methylguanosine (m7G) modification and hepatocarcinogenesis. However, the precise implications of altered internal m7G modifications within mRNA on the progression of Hepatitis B Virus (HBV)-induced Hepatocellular Carcinoma (HCC) remain inadequately elucidated. This study utilized a previously published dataset from the Gene Expression Omnibus (GEO) that includes samples of normal liver tissue, HBV positive (HP) liver tissue, and HP HCC tissue to investigate the profiling of mRNA internal m7G methylation. The STRING database and in vitro experiments were employed for the screening and validation of key m7G-related genes. The Cancer Genome Atlas cohorts were utilized to analyze the association of these key genes with the prognosis of HCC patients. Comparative analyses revealed internal m7G modification alterations in 1546 mRNAs between HP liver and normal liver tissues, and in 3424 mRNAs between HP HCC and HP liver tissues. Following Protein-Protein Interaction (PPI) network analyses, validation experiments confirmed sustained high levels of internal m7G methylation modifications in EZH2, SMARCA4, and YY1. Furthermore, these genes were found to exhibit m7G modification-dependent expression changes during the transition from HBV infection to HCC, and were closely associated with the prognosis of HCC patients. This study provides validation of substantial dynamic alternations in mRNA internal methylation profiles during the HBV infection to HCC. EZH2, SMARCA4, and YY1 emerge as promising molecular targets within this intricate regulatory landscape, offering avenues for further research and potential therapeutic exploration.

Extracellular Vesicles in Viral Liver Diseases.

Extracellular vesicles (EVs) are bilayer vesicles released by cells in the microenvironment of the liver including parenchymal and non-parenchymal cells. They are the third important mechanism in the communications between cells, besides the secretion of cytokines and chemokines and the direct cell-to-cell contact. The aim of this review is to discuss the important role of EVs in viral liver disease, as there is increasing evidence that the transportation of viral proteins, all types of RNA, and viral particles including complete virions is implicated in the pathogenesis of both viral cirrhosis and viral-related hepatocellular carcinoma. The biogenesis of EVs is discussed and their role in the pathogenesis of viral liver diseases is presented. Their use as diagnostic and prognostic biomarkers is also analyzed. Most importantly, the significance of possible novel treatment strategies for liver fibrosis and hepatocellular carcinoma is presented, although available data are based on experimental evidence and clinical trials have not been reported.

Gut Microbiota and Metabolic Dysfunction-Associated Steatotic Liver Disease.

Background: The gut microbiota constitutes a complex microorganism community that harbors bacteria, viruses, fungi, protozoa, and archaea. The human gut bacterial microbiota has been extensively proven to participate in human metabolism, immunity, and nutrient absorption. Its imbalance, namely "dysbiosis", has been linked to disordered metabolism. Metabolic dysfunction-associated steatotic liver disease (MASLD) is one of the features of deranged human metabolism and is the leading cause of liver cirrhosis and hepatocellular carcinoma. Thus, there is a pathophysiological link between gut dysbiosis and MASLD. Aims and Methods: We aimed to review the literature data on the composition of the human bacterial gut microbiota and its dysbiosis in MASLD and describe the concept of the "gut-liver axis". Moreover, we reviewed the approaches for gut microbiota modulation in MASLD treatment. Results: There is consolidated evidence of particular gut dysbiosis associated with MASLD and its stages. The model explaining the relationship between gut microbiota and the liver has a bidirectional organization, explaining the physiopathology of MASLD. Oxidative stress is one of the keystones in the pathophysiology of MASLD and fibrosis generation. There is promising and consolidated evidence for the efficacy of pre- and probiotics in reversing gut dysbiosis in MASLD patients, with therapeutic effects. Few yet encouraging data on fecal microbiota transplantation (FMT) in MASLD are available in the literature. Conclusions: The gut dysbiosis characteristic of MASLD is a key target in its reversal and treatment via diet, pre/probiotics, and FMT treatment. Oxidative stress modulation remains a promising target for MASLD treatment, prevention, and reversal.

Exploring the Updated Roles of Ferroptosis in Liver Diseases: Mechanisms, Regulators, and Therapeutic Implications.

Ferroptosis, a newly discovered mode of cell death, is a type of iron-dependent regulated cell death characterized by intracellular excessive lipid peroxidation and imbalanced redox. As the liver is susceptible to oxidative damage and the abnormal iron accumulation is a major feature of most liver diseases, studies on ferroptosis in the field of liver diseases are of great interest. Studies show that targeting the key regulators of ferroptosis can effectively alleviate or even reverse the deterioration process of liver diseases. System Xc- and glutathione peroxidase 4 are the main defense regulators of ferroptosis, while acyl-CoA synthetase long chain family member 4 is a key enzyme causing peroxidation in ferroptosis. Generally speaking, ferroptosis should be suppressed in alcoholic liver disease, non-alcoholic fatty liver disease, and drug-induced liver injury, while it should be induced in liver fibrosis and hepatocellular carcinoma. In this review, we summarize the main regulators involved in ferroptosis and then the mechanisms of ferroptosis in different liver diseases. Treatment options of drugs targeting ferroptosis are further concluded. Determining different triggers of ferroptosis can clarify the mechanism of ferroptosis occurs at both physiological and pathological levels.

Thymidine Phosphorylase Imaging Probe for Differential Diagnosis of Metabolic dysfunction-associated Steatohepatitis.

Metabolic dysfunction-associated steatotic liver disease (MASLD) comprises simple steatosis (SS), which has a low risk of mortality, and metabolic dysfunction-associated steatohepatitis (MASH), which can progress to liver cirrhosis and hepatocellular carcinoma. Because differentiation between MASH and SS is the most important issue in the diagnosis of MASLD, the establishment of noninvasive diagnostic methods is urgently needed. In this study, we evaluated the potential of [123I]IIMU, a thymidine phosphorylase (TYMP) targeted SPECT imaging probe, for differential diagnosis of MASLD in a preclinical animal model. SS and MASH mice were prepared by feeding db/db mice with a standard diet and a methionine/choline-deficient diet, respectively. Control mice were prepared by feeding m/m mice with a standard diet. TYMP expression in the liver was evaluated by RT-PCR, western blotting, and immunohistochemistry. The biodistribution of [125I]IIMU in the three model mice was evaluated at 30min post-injection. SPECT/CT imaging studies of the three model mice were performed 30min after injection of [123I]IIMU. Hepatic TYMP expression level was the highest in the SS mice and the lowest in the MASH mice at both mRNA and protein levels. The immunohistochemistry experiment showed a patchy distribution of TYMP only in the liver of MASH mice. In the biodistribution study, the hepatic accumulation of [125I]IIMU was the highest in the SS mice and the lowest in the MASH mice. The SPECT/CT imaging study showed similar results to the biodistribution experiment. Hepatic TYMP expression level may serve as a promising imaging biomarker for differential diagnosis of SS and MASH. SPECT imaging using [123I]IIMU potentially provides a novel noninvasive diagnostic method to differentiate MASH and SS.

Molecular Insights into The Replication and Pathogenesis of Hepatitis C Virus

Hepatitis C virus (HCV) is a major infectious disease problem worldwide, resulting in serious liver disease, including cirrhosis and hepatocellular carcinoma. This review article acts as a general overview of molecular aspects of HCV replication and pathogenesis emphasizing the virus structure and genome, entry mechanisms, the replication cycle, and HCV interactions with the host immune system. It also examines the progression of disease causing HCV infections and the clinical symptoms. Antiviral treatments have improved patient outcomes, but they remain far from an effective vaccine, because viral diversity, lack of access to health care, remain. Research in the future should look to increase healthcare accessibility, to understand long term outcomes after treatment, and to develop the vaccine. Solution to these challenges will enable us to diminish the worldwide burden of HCV and better patient health results.

Acid Sphingomyelinase Activation and ROS Generation Potentiate Antiproliferative Effects of Mitomycin in HCC.

Sphingolipids play a major role in the regulation of hepatocellular apoptosis and proliferation. We have previously identified sphingolipid metabolites as biomarkers of chronic liver disease and hepatocellular carcinoma. Human hepatocellular carcinoma cell lines were transfected with a plasmid vector encoding for acid sphingomyelinase. Overexpressing cells were subsequently treated with mitomycin and cell proliferation, acid sphingomyelinase activity, sphingolipid concentrations, and generation of reactive oxygen species were assessed. The stimulation of acid sphingomyelinase-overexpressing cell lines with mitomycin showed a significant activation of the enzyme (p < 0.001) followed by an accumulation of various ceramide species (p < 0.001) and reactive oxygen radicals (p < 0.001) as compared to control transfected cells. Consequently, a significant reduction in cell proliferation was observed in acid sphingomyelinase-overexpressing cells (p < 0.05) which could be diminished by the simultaneous application of antioxidant agents. Moreover, the application of mitomycin induced significant alterations in mRNA expression levels of ceramidases and sphingosine kinases (p < 0.05). Our data suggest that the overexpression of the acid sphingomyelinase in human hepatoma cell lines enhances the in vitro antiproliferative potential of mitomycin via accumulation of ceramide and reactive oxygen species. The selective activation of acid sphingomyelinase might offer a novel therapeutic approach in the treatment of hepatocellular carcinoma.