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Previous studies indicate that the IL-33/ST2 pathway is involved in hepatitis B virus (HBV) -related liver diseases. This study aimed to determine the relationship between genetic variants in IL-33/ST2 pathway with susceptibility to liver cirrhosis. A total of 2632 Han Chinese samples met the inclusion and exclusion criteria, including 840 negative controls (NeC), 691 chronic hepatitis B (CHB), 680 HBV-related liver cirrhosis (LC) and 421 HBV-related hepatocellular carcinoma (HCC) (without LC) patients. Four polymorphisms (IL33 -rs4742170, rs1048274, rs10975519 and IL1RL1 -rs1041973) were selected and genotyping was performed. All statistical analyses were performed by SPSS21.0, mainly using the Hardy-Weinberg equilibrium test, Pearson chi-square, unconditional Logistic regression and haplotype analysis. After adjusting for age, sex, smoking and drinking, significant associations were observed between IL33 -rs4742170, rs1048274 and rs10975519 polymorphisms with LC risk. NeC with IL33 -rs4742170 CC genotype was 1.80 times more likely to develop LC compared with TT genotype, while NeC with rs10975519(TC + CC) genotype was 1.32 times more likely to develop LC when compared with the TT genotype. CHB cases with rs4742170(CC + TC) genotype had 1.30 times higher susceptibility to develop LC compared with the TT genotype. The IL33 -rs1048274G allele occurred more frequently in the LC group compared with the HCC group in codominant model (AG/AA: P = 0.001, OR = 1.66, 95%CI = 1.22–2.25; GG/AA: P = 0.018, OR = 1.54, 95%CI = 1.08–2.20). The IL33 haplotype CG conformed by rs10975519C and rs1048274G was more frequent in the LC group than in the NeC group and CHB group. Moreover, the IL33 haplotype CCG conformed by rs4742170C, rs10975519C and rs1048274G was found to be more frequent in the LC group than the HCC group. However, there was no association between IL1RL1 -rs1041973 and LC risk. Our findings demonstrate the association between genetic variants in IL33 with susceptibility to liver cirrhosis. IL33 -rs4742170C, rs1048274G and rs10975519C could serve as biomarkers of LC. [ABSTRACT FROM AUTHOR]

Hepatocellular carcinoma (HCC) is a malignant primary liver cancer with poor prognosis. Most previous studies on anti-HCC effects of traditional Chinese medicines (TCM) have focused on the mechanism of direct action and few researchers considered that TCM can inhibit tumor progression and improve prognosis of HCC patients through regulating tumor microenvironment (TME). In this study, network pharmacology combined bioinformatics methods were employed to analysis mechanism of Bombyx batryticatus (B. batryticatus , one of the most frequently used traditional Chinese animal medicines, has been used in some Asian countries for centuries as an anticancer agent, anti-inflammatory agent, and antioxidant.) in regulating TME of HCC. The results showed that 24 core targets and 2 compounds were identified from overlapping between differential expression genes related to HCC in the cancer genome atlas (TCGA) database and targets of B. batryticatus in TCMSP database. For further analyzing the role of TME heterogeneity of HCC on anti-HCC mechanism of B. batryticatus , the correlation of core targets related with overall survival of HCC with TME cells in hepatitis C or hepatitis B virus-associated hepatocellular carcinoma (VIR) and non-hepatitis C or hepatitis B virus-associated hepatocellular carcinoma (NVIR) were calculated, respectively. The results showed that AKR1C3, SPP1 were significantly related with macrophages in VIR and other targets including NR1I2, CYP1A2 and CYP3A4 were significantly associated with macrophages in NVIR; the target protein AKR1C3 was significantly negative correlated with macrophages M1 in VIR (cor=–0.35, P-value<0.001) and the correlation between AKR1C3 and macrophages M1 was poor in NVIR group (cor = 0.064, P-value = 0.36). Additionally, survival curve of AKR1C3 showed that poor prognosis in VIR group can be related to high level of AKR1C3 (HR = 2.32, 95 % CI: 1.18–4.56, P-value = 0.012), and no signified gene can be found in NVIR group (P-value>0.05). In conclusion, the molecular mechanism of anti-HCC of B. batryticatus can be related to the tumor microenvironment to some extent. B. batryticatus may exert its anti-cancer effects and improve prognosis of patients by regulating macrophages M1 in VIR and NVIR through acting on different targets. [ABSTRACT FROM AUTHOR]