The value of platelet count in evaluating the degree of liver fibrosis in patients with chronic hepatitis B.

OBJECTIVE: To investigate the value of platelet count in evaluating the degree of liver fibrosis in patients with chronic hepatitis B (CHB). METHODS: A total of 158 CHB patients who underwent liver biopsy in our hospital were included, and the clinical characteristics of these patients were retrospectively analyzed. The diagnostic values of platelet count, aspartate aminotransferase-to-platelet ratio index (APRI), and the fibrosis index based on four factors (FIB-4) for significant fibrosis (F ≥ 2) and early cirrhosis (F = 4) stages in CHB patients were assessed by the use of receiver operating characteristic (ROC) analysis. RESULTS: The median (F0: 221.0; F1: 210.0; F2: 188.0; F3: 171.0; and F4: 155.5) and mean rank (F0: 120.4; F1: 100.1; F2: 82.2; F3: 67.9; and F4: 49.5) of platelet count decreased along the aggravation of fibrosis (F0-F4). The areas under the ROC curve for the platelet count in diagnosis of significant fibrosis stage was 0.70, which had no significant difference with FIB-4 (0.73) and APRI (0.68) in diagnostic efficacy (P = .428). The areas under the ROC curve of platelet count in diagnosis of early cirrhosis were 0.72, which had no significant difference with FIB-4 (0.76) and APRI (0.68) (P = .094). CONCLUSION: The platelet count, as a simple and non-invasive index, could evaluate the degree of liver fibrosis in CHB individuals. At the same time, the diagnostic efficiency of platelet count to evaluate the significant liver fibrosis and early cirrhosis is comparable to FIB-4 and APRI.

Comparative proteomic profiles indicating genetic factors may involve in hepatocellular carcinoma familial aggregation.

Familial aggregation of hepatocellular carcinoma (HCC), the third leading cause of cancer death worldwide, has shown to be a common phenomenon. We investigated the association between the genetic background and HCC familial aggregation. Serum samples were collected from HCC family members and normal control family members for screening the differentially expressed protein peaks with the approach of surface-enhanced laser desorption ionization time-of-flight mass spectrometry. Potential genetically associated protein peaks were selected and further identified by matrix assisted laser desorption ionization-time of flight mass spectrometry. A panel of six protein peaks (m/z 6432.94, 8478.35, 9381.91, 17284.67, 17418.34, and 18111.04) were speculated to reflect the genetic susceptibility of HCC familial aggregation. Three of them (m/z 6432.94, 8478.35, and 9381.91) were selected to identify as the candidate proteins. Nine identified proteins, including mostly apolipoprotein family (ApoA1, ApoA2, ApoC3, ApoE) and serum amyloid A protein (SAA), were found overexpressed in the multiple HCC cases family members. The comparative proteomic profiles have suggested that genetic factors ought to be taken into account for familial aggregation of HCC.

Total glucosides of paeony induces regulatory CD4(+)CD25(+) T cells by increasing Foxp3 demethylation in lupus CD4(+) T cells.

Total glucosides of paeony (TGP), an active compound extracted from Paeony root, has been used in therapy for autoimmune diseases. However the molecular mechanism of TGP in the prevention of autoimmune response remains unclear. In this study, we found that TGP treatment significantly increased the percentage and number of Treg cells in lupus CD4(+) T cells. Further investigation revealed that treatment with TGP increased the expression of Foxp3 in lupus CD4(+) T cells by down-regulating Foxp3 promoter methylation levels. However, we couldn't observe similar results in healthy control CD4(+) T cells treated by TGP. Moreover, our results also showed that IFN-γ and IL-2 expression was enhanced in TGP-treated lupus CD4(+) T cells. These findings indicate that TGP inhibits autoimmunity in SLE patients possibly by inducing Treg cell differentiation, which may in turn be due to its ability to regulate the methylation status of the Foxp3 promoter and activate IFN-γ and IL-2 signaling.