Caspase-cleaved fragments of cytokeratin-18 as a marker of inflammatory activity in chronic hepatitis B virus infection

BACKGROUND

The differential diagnosis between inactive carrier and active hepatitis is important in patients with chronic hepatitis B (CHB) virus infection. Serum cytokeratin (CK)-18 fragments (M30-antigen) are proposed as biomarkers of apoptosis.

OBJECTIVES

We investigated whether serum M30-antigen levels might help to characterize the various phases of CHB and predict the state of significant inflammation in patients with CHB.

STUDY DESIGN

A total of 339 CHB patients who underwent liver biopsy, were included. Serum M30-antigen levels were compared between inactive carriers (n=21), patients with HBeAg-negative hepatitis (n=95), HBeAg-positive hepatitis (n=141) and liver cirrhosis (n=82).

RESULTS

Serum M30-antigen levels were correlated significantly not only with AST (r=0.544, p<0.001) and ALT (r=0.315, p<0.001) and but also inflammatory grading score on liver biopsy (r=0.240, p<0.001). Serum M30-antigen level in HBeAg-negative CHB was significantly higher than that of inactive HBV carrier (399.78 U/L vs 148.90 U/L, p<0.001). Multivariate analysis showed that AST (p<0.001), albumin (p=0.009) and M30-antigen (p=0.020) were the independent predictors of significant inflammation. Combined serum M30-antigen level (>344 U/L) and AST (>78 IU/L) measurement provided the most accurate identification of significant inflammation, showing 38.2% sensitivity, 96.1% specificity, 91.0% positive predictive value and 56.1% negative predictive value.

CONCLUSIONS

Serum M30-antigen can be a predictive marker for distinguishing between inactive carrier and HBeAg-negative CHB. Serum M30 levels are associated with the presence of significant inflammation, especially in patients with normal or minimally elevated ALT in CHB patients.

Association between apolipoprotein E genotype, chronic liver disease, and hepatitis B virus

BACKGROUND/AIMS

Apolipoprotein E (ApoE) plays an important role in regulating lipid and lipoprotein metabolism, and ApoE genotypes are known to affect plasma lipoprotein concentrations. We investigated whether ApoE genotype determines the disease outcome in hepatitis B virus (HBV)-infected individuals, and verified the association between ApoE genotype and the occurrence of hepatocellular carcinoma (HCC) in patients with chronic liver diseases of various etiologies.

METHODS

This hospital-based, case-controlled study enrolled 156 subjects (47 healthy controls, 50 HBV-related liver cirrhosis patients, and 59 HCC patients). ApoE genotypes were determined using PCR-based ApoE genotyping kits. The biological significance of ApoE genotype was verified by measuring serum ApoE levels using an ELISA kits.

RESULTS

The ε3 allele was the most common allele, with allele frequencies among the entire cohort of 5.8%, 84.3%, and 9.9% for the ε2, ε3, and ε4 alleles, respectively. Significantly more of those patients carrying the ε3/3 genotype had developed liver cirrhosis compared to the control subjects. Being an ApoE4 carrier was associated with a lower probability of developing liver cirrhosis. The allele frequencies and genotype distribution of ApoE did not differ significantly between the liver cirrhosis and HCC patients. The serum level of ApoE was significantly higher in patients with liver cirrhosis than in the healthy controls, but did not differ significantly with the ApoE genotype.

CONCLUSIONS

The ApoE ε3/3 genotype frequency was higher in patients with HBV-associated liver cirrhosis than in the controls.

Serum markers for predicting significant necroinflammatory activity in patients with chronic hepatitis B

OBJECTIVES

The aim of this study was to determine the serum markers that predict significant inflammation in patients with chronic hepatitis B (CHB).

DESIGN AND METHODS

Between October 2005 and June 2009, 384 subjects with CHB were enrolled.

RESULTS

Multiple logistic regression analysis identified the ALT, hyaluronic acid (HA) and procollagen III N-terminal peptide (PIIINP) as independent predictors of significant inflammation (grade≥3). We constructed a formula for predicting significant inflammation. A significant inflammation (SI) score=1.773×ALT score+1.599×PIIINP score+0.677×HA score-1.962. The area under receiver operating characteristic curve of the SI score was 0.831. The sensitivity, specificity, positive predictive value and negative predictive value of the SI score were 79.5%, 70.8%, 76.8% and 74.3%, respectively.

CONCLUSIONS

A simple scoring system including ALT, PIIINP and HA is an accurate non-invasive predictor of significant inflammatory activities in patients with CHB.