Factors associated with significant liver necroinflammation in chronic hepatitis B patients with cirrhosis

Novel Allosteric Glutaminase 1 Inhibitors with Macrocyclic Structure Activity Relationship Analysis

Glutamine-addicted cancer metabolism is recently recognized as novel cancer target especially for KRAS and KEAP1 co-occurring mutations. Selective glutaminase1 (GLS1) inhibition was reported using BPTES which has novel mode of allosteric inhibition. However, BPTES is a highly hydrophobic and symmetric molecule with very poor solubility which results in suboptimal pharmacokinetic parameters and hinders its further development. As an ongoing effort to identify more drug-like GLS1 inhibitors via systematic structure-activity relationship (SAR) analysis of BPTES analogs, we disclose our novel macrocycles for GLS1 inhibition with conclusive SAR analysis on the core, core linker, and wing linker, respectively. Selected molecules resulted in reduction in intracellular glutamate levels in LR (LDK378-resistant) cells which is consistent to cell viability result. Finally, compounds 13 selectively reduced the growth of A549 and H460 cells which have co-occurring mutations including KRAS and KEAP1.

Lipid Profiles as Markers for the Severity of Liver Diseases in Cirrhotic Patients

Background

Liver cirrhosis is a diffuse process in which the anatomical structure and function of the liver are disturbed. Lipid metabolism occurs mainly in the hepatocytes. In liver cirrhosis, it is expected to detect abnormal lipid profile and abnormal neutrophil to lymphocyte ratio due to necro-inflammation and hepatocyte dysfunction. This study aimed to estimate the lipid profile in patients with liver cirrhosis and to assess its relation to the severity of the liver disease based on Child-Pugh Turcotte score and Neutrophil to Lymphocyte Ratio (NLR).

Methods:

This study included 500 cirrhotic patients. All patients are subjected to history taking, clinical examination, liver and renal function tests, lipid profile, and also abdomino-pelvic ultrasound. Child -Pugh score, fibrosis-4 score (FIB4), and neutrophil and platelet lymphocyte ratio were calculated.

Results:

A total of 500 patients were enrolled in this study; 12 patients were excluded (two patients were on the immunosuppressive drug, three patients had body mass index (BMI) >30, and seven patients took lipid-lowering drugs). Cholesterol level was significantly higher in patients with Child- Score A than B and C. Cholesterol, Low-Density Lipoprotein (LDL), and very-low-density lipoprotein (VLDL) cholesterol were significantly higher in Child B than C. A significant negative correlation was found between cholesterol level and each of FIB4 and NLR ratios.

Conclusion:

There was a significant negative correlation between the severity of liver cirrhosis and lipid profiles (except triglyceride), FIB4 and NLR ratio.

Distinct Bile Acid Profiles in Patients With Chronic Hepatitis B Virus Infection Reveal Metabolic Interplay Between Host, Virus and Gut Microbiome

Hepatitis B virus (HBV) can hijack the host bile acids (BAs) metabolic pathway during infection in cell and animal models. Additionally, microbiome was known to play critical role in the enterohepatic cycle of BAs. However, the impact of HBV infection and associated gut microbiota on the BA metabolism in chronic hepatitis B (CHB) patients is unknown. This study aimed to unveil the distinct BA profiles in chronic HBV infection (CHB) patients with no or mild hepatic injury, and to explore the relationship between HBV, microbiome and BA metabolism with clinical implications.

Methods: Serum BA profiles were compared between CHB patients with normal ALT (CHB-NALT, n = 92), with abnormal ALT (CHB-AALT, n = 34) and healthy controls (HCs, n = 28) using UPLC-MS measurement. Hepatic gene expression in CHB patients were explored using previously published transcriptomic data. Fecal microbiome was compared between 30 CHB-NALT and 30 HCs using 16S rRNA sequencing, and key microbial function was predicted by PICRUSt analysis.

Results: Significant higher percentage of conjugated BAs and primary BAs was found in CHB patients even without apparent liver injury. Combinatory BA features can discriminate CHB patients and HCs with high accuracy (AUC = 0.838). Up-regulation of BA importer Na+ taurocholate co-transporting peptide (NTCP) and down-regulation of bile salt export pump (BSEP) was found in CHB-NALT patients. The microbial diversity and abundance of Lactobacillus, Clostridium, Bifidobacterium were lower in CHB-NALT patients compared to healthy controls. Suppressed microbial bile salt hydrolases (BSH), 7-alpha-hydroxysteroid dehydrogenase (hdhA) and 3-dehydro-bile acid Delta 4, 6-reductase (BaiN) activity were found in CHB-NALT patients.

Conclusion: This study provides new insight into the BA metabolism influenced both by HBV infection and associated gut microbiome modulations, and may lead to novel strategy for clinical management for chronic HBV infection.

AST and HBeAg Level Can Help to Distinguish Non-Minimal Liver Inflammation in Persistently Normal Alanine Aminotransferase of Chronic HBV Infection

Objectives: The current study aimed to investigate the characteristics of HBV serum markers (HBsAg, HBeAg), biochemical indicators, HBV DNA, and the age to distinguish minimal from non-minimal liver histological inflammation group in HBeAg-positive chronic HBV-infected patients with ALT≤ 1ULN (40U/L). Methods: The HBeAg-positive patients with treatment-naïve hospitalized at Ditan hospital from January 2008 to January 2017 are investigated. Patients were separated into two groups of minimal and non-minimal (mild and moderate) histological inflammation group by liver biopsy specimens. Data were analyzed using the SPSS package. Results: There were both positive (age, ALT, and AST) and negative correlation factors (serum HBsAg, HBeAg, or HBV DNA quantitation) to the liver inflammation grades. Multivariate regression analysis indicated that HBeAg (P < 0.001, b = -0.554, Exp (B) = 0.575) and AST (P = 0.003, b = 0.074, Exp (B) = 1.077) were independent influential factors. The cutoff values of HBeAg and AST were separately 2.85 Log10S/CO (AUC0.724, Sensitivity64%, Specificity79%), 28U/L (AUC0.726, Sensitivity68%, Specificity 78%) to distinguish Minimal from Non-minimal liver histological inflammation in chronic HBV-infected patients with ALT ≤ 1 ULN (40U/L). Conclusions: In total, 31.34% (115/367) of patients with chronic HBV infection who had non-minimal (mild and moderate) liver histological inflammation reached the required inflammation levels for antiviral treatment in HBeAg-positive patients with persistently normal ALT. HBeAg (cutoff < 2.85 Log10S/CO) and AST (cutoff > 28 U/L) were the independent influential factors of predicting non-minimal liver inflammation with ALT ≤ 1 ULN (40U/L).

Prediction of hepatic necroinflammatory activity in patients with chronic hepatitis B by a simple noninvasive model

Background

A model was constructed using clinical and serum variables to discriminate between chronic hepatitis B (CHB) patients with and without significant necroinflammatory activity (score 4–18 vs. score 0–3).

Methods

Consecutive CHB patients who underwent liver biopsy were divided into two sequential groups: a training group (n = 401) and a validation group (n = 401). Multivariate analysis identified alanine aminotransferase, γ-glutamyltransferase, prothrombin time and albumin as independent predictors of necroinflammatory activity.

Results

The area under the receiver operating characteristic curve was 0.826 for the training group and 0.847 for the validation group. Using a cut-off score of H ≤ 0.375, significant necroinflammatory activity (score 4–18) was excluded with high accuracy [78.2% negative predictive value (NPV), 72% positive predictive value (PPV), and 90.8% sensitivity] in 238 (59.4%) of 401 patients in the training group and with the same certainty (88.1% NPV, 61.2% PPV, and 95.1% sensitivity) among 204 (50.9%) of 401 patients in the validation group. Similarly, applying a cut-off score of H > 0.720, significant necroinflammatory activity was correctly identified with high accuracy (90.8% PPV, 57.7% NPV, and 92.0% specificity) in 150 (37.4%) of 401 patients in the training group and with the same certainty (91.8% PPV, 64.6% NPV, and 95.4% specificity) in 188 (46.9%) of 401 patients in the validation group.

Conclusions

A predictive model based on easily accessible variables identified CHB patients with and without significant necroinflammatory activity with a high degree of accuracy. This model may decrease the need for liver biopsy for necroinflammatory activity grading in 72.1% of CHB patients.