Development of a Bile Acid-Related Gene Signature for Predicting Survival in Patients with Hepatocellular Carcinoma.

Background: Hepatocellular carcinoma (HCC) is one of the most common diseases that threaten millions of lives annually. Evidence supports that bile acid (BA) affects HCC through inflammation, DNA damage, or other mechanisms. Methods: A total of 127 BA-associated genes were analyzed in HCC tumor and nontumor samples using The Cancer Genome Atlas data. Genes correlated to the prognosis of patients with HCC were identified using univariate and multivariate Cox regression analyses. Furthermore, a prediction model with identified genes was constructed to evaluate the risk of patients with HCC for prognosis. Results: Out of 26 genes with differential expressions between the HCC and nontumor samples, 19 and 7 genes showed upregulated and downregulated expressions, respectively. Three genes, NPC1, ABCC1, and SLC51B, were extrapolated to construct a prediction model for the prognosis of patients with HCC. Conclusion: The three-gene prediction model was more reliable than the pathological staging characters of the tumor for the prognosis and survival of patients with HCC. In addition, the upregulated genes facilitating the transport of BAs are associated with poor prognosis of patients with HCC, and genes of de novo synthesis of BAs benefit patients with HCC.

Lactobacillus reuteri improves function of the intestinal barrier in rats with acute liver failure through Nrf-2/HO-1 pathway.

OBJECTIVES: We aimed to explore whether Lactobacillus reuteri could have a positive role in reducing inflammation and bacterial translocation in rats with acute liver failure. METHODS: Lactobacillus reuteri were gavaged to Sprague-Dawley (SD) rats at a dose of 1 × 109 CFU/mL once a day for 14 d. D-galactosamine was injected intraperitoneally to induce acute liver failure for 24 h on the 15th day. Liver function, liver and ileum histology, intestinal cytokines, intestinal tight junction proteins, lipopolysaccharide binding protein, apoptosis molecules, and nuclear factor erythroid-derived 2 (Nrf-2) / heme oxygenase (HO-1) molecules were assessed. RESULTS: The results showed that L. reuteri alleviated liver injury and intestinal inflammation induced by D-galactosamine. L. reuteri also improved the expression of intestinal tight junction proteins and maintained the integrity of the intestinal barrier by inhibiting apoptosis of intestinal epithelial cells. L reuteri induced an increase in Nrf-2 nuclear translocation and elevated induction of HO-1. L. reuteri treatment significantly enhanced the expression of phosphoinositide 3-kinase/protein kinase B (PI3 K/Akt), protein kinase C (PKC), and their phosphorylated forms but not mitogen-activated protein kinase. The nuclear factor kappa B (NF-κB) pathway was inhibited after L. reuteri treatment. Interleukin (IL)-17A produced by Th17 cells and γδT17 cells may not contribute to an improved function of the intestinal barrier in L. reuteri-treated SD rats. CONCLUSIONS: Overall, our study indicated that L. reuteri-induced expression of intestinal tight junction proteins is mediated by the PI3 K/Akt-Nrf-2/HO-1-NF-κB and PKC-Nrf-2/HO-1-NF-κB pathways, which leads to inhibition of the apoptosis of intestinal epithelial cells, thus maintaining the integrity of the damaged intestinal barrier.

Cryptococcosis in patients with liver cirrhosis: Death risk factors and predictive value of prognostic models.

BACKGROUND: Liver cirrhosis is associated with immune deficiency, which causes these patients to be susceptible to various infections, including cryptococcus infection. Mortality in cirrhotic patients with cryptococcosis has increased. The present study was to explore the risk factors of mortality and the predictive ability of different prognostic models. METHODS: Forty-seven cirrhotic patients with cryptococcosis at a tertiary care hospital were included in this retrospective study. Data on demographics, clinical parameters, laboratory exams, diagnostic methods, medication during hospitalization, severity scores and prognosis were collected and analyzed. Student's t test and Mann-Whitney test were used to compare characteristics of survivors and non-survivors at a 90-day follow-up and cerebrospinal fluid (CSF) manifestations of cryptococcal meningitis. Multivariate Cox regression analysis was used to identify the independent risk factors for mortality. Kaplan-Meier curves were used to analyze patient survival. Receiver operating characteristic (ROC) curves were used to evaluate the different prognostic factors. RESULTS: The 30- and 90-day survival rates were 93.6% and 80.9%, respectively, in cirrhotic patients with cryptococcosis. Cryptogenic liver diseases [hazard ratio (HR) = 7.567, 95% confidence interval (CI): 1.616-35.428, P = 0.010], activated partial thromboplastin time (APTT) (HR = 1.117, 95% CI: 1.016-1.229, P = 0.022) and Child-Pugh score (HR = 2.146, 95% CI: 1.314-3.504, P = 0.002) were risk factors for 90-day mortality in cirrhotic patients with cryptococcosis. Platelet count (HR = 0.965, 95% CI: 0.940-0.991, P = 0.008) was a protective factor. APTT (HR = 1.120, 95% CI: 1.044-1.202, P = 0.002) and Child-Pugh score (HR = 1.637, 95% CI: 1.086-2.469, P = 0.019) were risk factors for 90-day mortality in cirrhotic patients with cryptococcal meningitis. There was significant difference in the percentage of lymphocytes in CSF between survivors and non-survivors [60.0 (35.0-75.0) vs. 95.0 (83.8-97.2), P < 0.001]. The model of end-stage liver disease-sodium (MELD-Na) score was more accurate for predicting 30-day mortality both in patients with cryptococcosis [area under curve (AUC): 0.826, 95% CI: 0.618-1.000] and those with cryptococcal meningitis (AUC: 0.742, 95% CI: 0.560-0.924); Child-Pugh score was more useful for predicting 90-day mortality in patients with cryptococcosis (AUC: 0.823, 95% CI: 0.646-1.000) and those with cryptococcal meningitis (AUC: 0.815, 95% CI: 0.670-0.960). CONCLUSIONS: These results showed that cryptogenic liver diseases, APTT and Child-Pugh score were associated with mortality in cirrhotic patients with cryptococcosis and cryptococcal meningitis. MELD-Na score was important for predicting 30-day mortality, and Child-Pugh score was critical for predicting 90-day mortality.

A narrative review of the roles of indoleamine 2,3-dioxygenase and tryptophan-2,3-dioxygenase in liver diseases.

Indoleamine 2,3-dioxygenase (IDO) and tryptophan-2,3-dioxygenase (TDO) are induced by several immune factors, such as interferon-γ, and act as intracellular enzymes that catabolize essential amino acid tryptophan into kynurenine and other downstream metabolites, including kynurenic acid (KYNA), xanthurenic acid (XA) and so on. IDO and TDO work as a double-edge sword. On one hand, they exert the immunomodulatory effects, especially immunosuppressive effects on the microenvironment including infections, pregnancy, tumor cells escape and transplantation. TDO plays the major role under basal conditions, while IDO comes into play under different circumstances of immune activation, thus IDO has a wider spectrum of immune regulation. On the other hand, these enzymes also inhibit pathogens such as Chlamydia pneumoniae, Staphylococcus aureus, Toxoplasma gondii and so on. Moreover, IDO regulates metabolic health through shaping intestinal microbiota. Recently, these enzymes have attracted more and more attention in liver diseases. Several studies have indicated that IDO and TDO can modulate viral hepatitis, autoimmune liver diseases, non-alcoholic fatty liver disease (NAFLD), liver cirrhosis, liver cancer even liver transplantation. Targeting them or their antagonists may provide novel therapeutic treatments for liver diseases. In this review, we will discuss the exact roles that IDO and TDO play in diverse hepatic diseases.

A self-powered bidirectional partition microfluidic chip with embedded microwells for highly sensitive detection of EGFR mutations in plasma of non-small cell lung cancer patients.

Circulating tumor DNA (ctDNA) is a promising biomarker for tumor genotyping and therapy monitoring. Herein, we developed a digital PCR chip with embedded microwell and bidirectional partition network for highly sensitive ctDNA analysis. The embedded microwell contributes to increasing microreaction density (up to 7000 microwells/cm2) and reducing evaporation during amplification. The bidirectional partition network can achieve fast and random distribution of targets, ensuring the precise quantification of nucleic acid. We used plasmids, artificial samples and 32 clinical blood samples from non-small cell lung cancer patients to test the performance of this platform. The results demonstrated that our chip has not only comparable quantification performance to commercial counterpart but also the ability to detect EGFR mutations with as low as 0.01% mutation rate and 20 alter molecules in 27 ng genomic DNA. The identification of EGFR mutations in plasma using developed chip exhibited 85.71% sensitivity and 94.44% specificity for L858R mutation and 100% sensitivity and 86.96% specificity for T790 M mutation. Moreover, the monitoring of mutant allele in plasma was accomplished in this work. In conclusion, the developed chip has a potential in lung tumor genotyping and therapy monitoring for precision medicine, even other tumors.

Construction of a convolutional neural network classifier developed by computed tomography images for pancreatic cancer diagnosis.

BACKGROUND: Efforts should be made to develop a deep-learning diagnosis system to distinguish pancreatic cancer from benign tissue due to the high morbidity of pancreatic cancer. AIM: To identify pancreatic cancer in computed tomography (CT) images automatically by constructing a convolutional neural network (CNN) classifier. METHODS: A CNN model was constructed using a dataset of 3494 CT images obtained from 222 patients with pathologically confirmed pancreatic cancer and 3751 CT images from 190 patients with normal pancreas from June 2017 to June 2018. We established three datasets from these images according to the image phases, evaluated the approach in terms of binary classification (i.e., cancer or not) and ternary classification (i.e., no cancer, cancer at tail/body, cancer at head/neck of the pancreas) using 10-fold cross validation, and measured the effectiveness of the model with regard to the accuracy, sensitivity, and specificity. RESULTS: The overall diagnostic accuracy of the trained binary classifier was 95.47%, 95.76%, 95.15% on the plain scan, arterial phase, and venous phase, respectively. The sensitivity was 91.58%, 94.08%, 92.28% on three phases, with no significant differences (χ 2 = 0.914, P = 0.633). Considering that the plain phase had same sensitivity, easier access, and lower radiation compared with arterial phase and venous phase , it is more sufficient for the binary classifier. Its accuracy on plain scans was 95.47%, sensitivity was 91.58%, and specificity was 98.27%. The CNN and board-certified gastroenterologists achieved higher accuracies than trainees on plain scan diagnosis (χ 2 = 21.534, P < 0.001; χ 2 = 9.524, P < 0.05; respectively). However, the difference between CNN and gastroenterologists was not significant (χ 2 = 0.759, P = 0.384). In the trained ternary classifier, the overall diagnostic accuracy of the ternary classifier CNN was 82.06%, 79.06%, and 78.80% on plain phase, arterial phase, and venous phase, respectively. The sensitivity scores for detecting cancers in the tail were 52.51%, 41.10% and, 36.03%, while sensitivity for cancers in the head was 46.21%, 85.24% and 72.87% on three phases, respectively. Difference in sensitivity for cancers in the head among the three phases was significant (χ 2 = 16.651, P < 0.001), with arterial phase having the highest sensitivity. CONCLUSION: We proposed a deep learning-based pancreatic cancer classifier trained on medium-sized datasets of CT images. It was suitable for screening purposes in pancreatic cancer detection.

Immune checkpoint targeting TIGIT in hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) has an extremely poor prognosis and is one of the most common malignancies worldwide. Immune checkpoint suppression has become the most effective treatment option for liver cancer. The strategies used for immune checkpoint inhibitor targeting cancer therapies have been affected by some significant successes, including blocking the advanced-stage malignant tumor by death protein 1 (PD-1)/programmed cell death ligand (PDL-1), and cytotoxic T-lymphocyte antigen-4 (CTLA4) pathways. T cell immunoreceptor with immunoglobulin and ITIM domains (TIGIT) is an immune checkpoint that participates in tumor immune surveillance. Mainly expressed on T cells, natural killer (NK) cells, and other antigen-presenting cells (APCs), it diminishes cytokine production and exhibits strong suppressive properties. TIGIT achieves a more active antitumor immune response and highlights a pivotal role for cancer immunotherapy. Preclinical studies have found inhibitory effects using a targeted approach. Monotherapy targeting TIGIT or in combination with anti-PD-1/PD-L1 monoclonal antibodies for the treatment of patients with advanced solid malignancies have demonstrated improved antitumor immune responses. Due to the high tumor heterogeneity of liver cancer, immune checkpoint suppression therapy still needs further exploration. Therefore, we provide insights into the characteristics of TIGIT and the immune system in HCC.

In vitro inhibition effects of hepatitis B virus by dandelion and taraxasterol.

Hepatitis B virus (HBV) causes hepatitis, which progresses to fatal liver diseases and remains a global health problem. Current treatments for chronic hepatitis B are unable to cure hepatitis. Thus, new antiviral drugs must be developed. In this study, the viral inhibition effects of dandelion and taraxasterol were assessed in HepG2.2.15 cell line. Taraxacum officinale F.H.Wigg. (compositae) with English name dandelion is used as a traditional herb for liver disorders and as a common antiviral agent. Taraxasterol is one of the active compounds of dandelion. The secretion of HBV DNA and HBV surface antigen (HBsAg) and HBeAg was detected using fluorescence quantitative PCR (qPCR) and ELISA, respectively. Intracellular HBsAg was detected by immunofluorescence. In order to demonstrate the potential mechanism of anti-viral activity, the expression levels of host factors polypyrimidine tract binding protein 1 (PTBP1) and sirtuin 1 (SIRT1) were detected with Western blotting and qPCR. Dandelion and taraxasterol effectively reduced the secretion of HBsAg, HBeAg and the HBV DNA in cell supernatants, and significantly reduced the intracellular HBsAg as indicated by immunofluorescence results. Taraxasterol may be one of the main effective components of dandelion. It significantly decreased the protein expression levels of PTBP1 and SIRT1. The present study revealed that dandelion and its component taraxasterol could inhibit HBV and may be a potential anti-HBV drug, whose potential targets were the host factors PTBP1 and SIRT1.

Role of γδT cells in liver diseases and its relationship with intestinal microbiota.

γδT cells are unconventional T lymphocytes that bridge innate and adaptive immunity. Based on the composition of T cell receptor and the cytokines produced, γδT cells can be divided into diverse subsets that may be present at different locations, including the liver, epithelial layer of the gut, the dermis and so on. Many of these cells perform specific functions in liver diseases, such as viral hepatitis, autoimmune liver diseases, non-alcoholic fatty liver disease, liver cirrhosis and liver cancers. In this review, we discuss the distribution, subsets, functions of γδT cells and the relationship between the microbiota and γδT cells in common hepatic diseases. As γδT cells have been used to cure hematological and solid tumors, we are interested in γδT cell-based immunotherapies to treat liver diseases.

Epstein-Barr virus associated hepatic smooth muscle tumor in a patient with acquired immunodeficiency syndrome: A case report.

INTRODUCTION: Epstein-Barr virus (EBV) associated smooth muscle tumors (SMTs) usually present under the condition of immunosuppression, including congenital immunodeficiency syndrome-SMT, post-transplantation-SMT and HIV-SMT. HIV-SMTs are most likely to invade the central nervous system, followed by the liver, lungs, and other locations. Many laboratory techniques, including serological techniques, polymerase chain reaction and immunohistochemistry (IHC), are employed to determine the aetiologies of these tumours. With respect to therapy, surgical resection is the main treatment. In patients with immunodeficiency, improving immune status is significant for defending against other viruses. We describe a case of the primary focus of SMT in the liver of HIV-positive patient without any metastasis. PATIENT CONCERNS: A young male HIV-positive patient complained of fever and abdominal pain for 2 months. DIAGNOSIS: IHC of liver tissue confirmed the finding: EBV-related smooth muscle tumor. INTERVENTIONS: Given the patient's general condition, he was not a suitable candidate for surgical resection. He was given antibiotics, antifungal agents and EBV-directed agents to control infection as well as highly active antiretroviral therapy to enhance the immunity. OUTCOMES: The patient's symptoms improved. He was discharged. CONCLUSIONS: In conclusion, EBV-related HIV-SMTs is a rare neoplasm found in the liver among immunodeficient patients. This case highlights that a variety of examinations such as IHC for smooth muscle markers (smooth muscle actin and desmin) and EBER, as well as polymerase chain reaction for EBV DNA should be done when diagnoses are ambiguous.