Genetic variation in interleukin 28B and correlation with chronic hepatitis B virus infection in Saudi Arabian patients.

BACKGROUND & AIMS: Several genome-wide association studies have shown that genetic variations in the chromosomal region containing interleukin-28B (IL28B) gene are associated with response to treatment in hepatitis C virus (HCV) infection. This study was conducted to examine the role of genetic variations in IL28B on disease progression in Saudi Arabian patients chronically infected with hepatitis B virus (HBV). METHODS: The study included 1128 subjects divided into four categories; 304 clearance subjects, 518 inactive carriers, 212 active carriers and 94 cirrhosis/HCC. RESULTS: Three single nucleotide polymorphisms (SNPs), rs12979860 (OR=1.307; 95% CI 1.046-1.634, χ2=5.57 and P=0.0183), rs12980275 (OR=0.642; CI 0.517-0.798, χ2=16.17 and P=0.0001) and rs8105790 (OR=0.746; CI 0.592-0.941, χ2=6.12 and P=0.0133), were found to be strongly associated with HBV clearance. The frequency of the G allele of rs12980275 and the C allele of rs8105790 were found to be more in clearance group than in patients and could contribute to protection against the disease. On the other hand, only rs12979860 showed significant difference in distribution when inactive group was compared to other groups (OR=1.285; CI 1.030-1.603, χ2=4.95, P=0.0261). No significant association was evident for any of the variants when active carriers were compared to cirrhosis/HCC patients. Haplotype analysis showed that a combination of A-T-T-G of rs12980275, rs8105790, rs8099917, and rs7248668, respectively, was associated with clearance of the virus (frequency=67.5% and P=0.015). CONCLUSION: genetic variations in IL28B gene region may influence the clearance of HBV infection.

Single nucleotide polymorphisms in CXCR1 gene and its association with hepatitis B infected patients in Saudi Arabia.

BACKGROUND/AIM: This study aims to investigate whether the SNPs of CXCR1 gene, could predict the likelihood of viral persistence and/or disease progression. MATERIAL AND METHODS: We investigated the association of two different SNPs (rs2234671, and rs142978743) in 598 normal healthy controls and 662 HBV patients from a Saudi ethnic population. The HBV patients were categorized into inactive carriers (n = 428), active carriers (n = 162), cirrhosis (n = 54) and Cirrhosis-HCC (n = 18) sub-groups. Genetic variants in CXCR1 were determined by polymerase chain reaction (PCR)-based DNA direct sequencing. RESULTS: The frequency of the risk allele 'C' for the SNP, rs2234671 was found to be insignificant when the patient group was compared to the uninfected control group, however, a significant distribution of the allele 'C' of rs2234671 was observed among active HBV carriers + cirrhosis + cirrhosis - HCC vs. inactive HBV carriers with an OR = 1.631 (95% C.I. 1.016-2.616) and p = 0.032. However, no significant association was observed for rs142978743 when the distribution of risk allele was analyzed among the different patient groups (i.e. inactive carriers, active carriers, cirrhosis and HCC). Furthermore, the most common haplotype, Haplo-1 (AG), was found to have an insignificant frequency distribution between HBV cases and controls, while the same haplotype was found to be significantly distributed when active carriers + cirrhosis + cirrhosis - HCC patients were compared to inactive HBV carriers with a frequency of 0.938 and p = 0.0315. Haplo-2 (AC) was also found to be significantly associated with a frequency of 0.058 and p = 0.0163. CONCLUSION: The CXCR1 polymorphism, rs2234671 was found to be associated with chronic HBV infection and may play a role in disease activity.

Toll-like receptor 3 polymorphism and its association with hepatitis B virus infection in Saudi Arabian patients.

Hepatitis B virus (HBV) is the major causative agent of chronic liver complications including cirrhosis and hepatocellular carcinoma (HCC). Individuals infected with HBV show a wide spectrum of disease manifestations ranging from asymptomatic carriers to HCC. TLR3 is part of the innate immune system that recognizes double-stranded RNA (dsRNA) and provides early immune response to exogenous antigens. The genetic polymorphisms such as single nucleotide polymorphisms (SNPs) in the TLR3 could be considered as factors for the susceptibility to viral pathogens including HBV. Due to lack of knowledge on the role of TLR3 polymorphisms in HBV infection, this study investigated the distribution of nine SNPs in the TLR3 gene and its association with Saudi Arabian patients infected with HBV. A total of 707 patients and 600 uninfected controls were examined for different parameters including the nine SNPs (rs5743311, rs5743312, rs1879026, rs5743313, rs5743314, rs5743315, rs111611328, rs78726532 and a newly identified SNP located at position 184322913 of chr4). The association analysis confirmed that only one SNP, rs1879026 (G/T), showed a significant difference (P = 0.0480; OR = 0.809, 95% CI = 0.655-0.999) in the distribution between HBV carriers and uninfected controls. While, the rest of the SNPs showed no significant association with regards to HBV infection or in the progression to cirrhosis of the liver and HCC. Furthermore, haplotype analysis revealed that one haplotype GCGA (rs1879026, rs5743313, rs5743314, and rs5743315, respectively), was associated significantly with HBV infection in this population. These findings indicate that genetic variations in the TLR3 gene could affect the outcome of HBV infection among Saudis.

FindSim: A Framework for Integrating Neuronal Data and Signaling Models.

Current experiments touch only small but overlapping parts of very complex subcellular signaling networks in neurons. Even with modern optical reporters and pharmacological manipulations, a given experiment can only monitor and control a very small subset of the diverse, multiscale processes of neuronal signaling. We have developed FindSim (Framework for Integrating Neuronal Data and SIgnaling Models) to anchor models to structured experimental datasets. FindSim is a framework for integrating many individual electrophysiological and biochemical experiments with large, multiscale models so as to systematically refine and validate the model. We use a structured format for encoding the conditions of many standard physiological and pharmacological experiments, specifying which parts of the model are involved, and comparing experiment outcomes with model output. A database of such experiments is run against successive generations of composite cellular models to iteratively improve the model against each experiment, while retaining global model validity. We suggest that this toolchain provides a principled and scalable way to tackle model complexity and diversity of data sources.

Association between HLA variations and chronic hepatitis B virus infection in Saudi Arabian patients.

Hepatitis B virus (HBV) infection is a leading cause of liver diseases including cirrhosis and hepatocellular carcinoma. Human leukocyte antigens (HLAs) play an important role in the regulation of immune response against infectious organisms, including HBV. Recently, several genome-wide association (GWAS) studies have shown that genetic variations in HLA genes influence disease progression in HBV infection. The aim of this study was to investigate the role of HLA genetic polymorphisms and their possible role in HBV infection in Saudi Arabian patients. Variations in HLA genes were screened in 1672 subjects who were divided according to their clinical status into six categories as follows; clearance group, inactive carriers, active carriers, cirrhosis, hepatocellular carcinoma (HCC) patients and uninfected healthy controls. Three single nucleotide polymorphisms (SNPs) belonged to HLA-DQ region (rs2856718, rs7453920 and rs9275572) and two SNPs belonged to HLA-DP (rs3077 and rs9277535) were studied. The SNPs were genotyped by PCR-based DNA sequencing (rs2856718) and allele specific TaqMan genotyping assays (rs3077, rs7453920, rs9277535 and rs9275572). The results showed that rs2856718, rs3077, rs9277535 and rs9275572 were associated with HBV infection (p = 0.0003, OR = 1.351, CI = 1.147-1.591; p = 0.041, OR = 1.20, CI = 1.007-1.43; p = 0.045, OR = 1.198, CI = 1.004-1.43 and p = 0.0018, OR = 0.776, CI = 0.662-0.910, respectively). However, allele frequency of rs2856718, rs7453920 and rs9275572 were found more in chronically infected patients when compared to clearance group infection (p = 0.0001, OR = 1.462, CI = 1.204-1.776; p = 0.0178, OR = 1.267, CI = 1.042-1.540 and p = 0.010, OR = 0.776, CI = 0.639-0.942, respectively). No association was found when polymorphisms in HLA genes were compared in active carriers versus cirrhosis/HCC patients. In conclusion, these results suggest that variations in HLA genes could affect susceptibility to and clearance of HBV infection in Saudi Arabian patients.

Role of single nucleotide polymorphisms of KIF1B gene in HBV-associated viral hepatitis.

BACKGROUND/AIM: Kinesin family member 1B (KIF1B) gene resides in the chromosomal region 1p36.22 and has been reported to have frequent deletions in a variety of human cancers. A recent genome wide association study (GWAS) study conducted on a Chinese population has reported the involvement of a KIF1B genetic variant in Hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC). This study aims to investigate the significance of KIF1B genetic variations in HBV-associated hepatitis in patients of Saudi Arabian ethnicity. METHODS: TaqMan genotyping assay was used to investigate the association of three SNPs (rs17401966, rs12734551, and rs3748578) in 584 normal healthy controls and 660 HBV-infected patients. The patients were categorized into inactive carriers (Case I), active carriers (Case II), Cirrhosis (Case III) and Cirrhosis-HCC (Case IV) sub-groups. RESULTS: Since SNPs rs12734551 and rs3748578 are in strong linkage disequilibrium (LD) with rs17401966, only results for the latter SNP are reported. Therefore, the allele frequency of rs17401966 among HBV-infected patients and healthy controls were comparable and therefore, no significant association was observed (P=0.2811, Odds Ratio (OR) 0.897). A similar analysis was performed among the different sub-groups in order to determine whether KIF1B SNPs were associated with the advancement of the disease. No significant differences were observed in any of the comparisons performed. CONCLUSION: Polymorphisms at KIF1B gene locus investigated in this study showed no significant association with HBV infection or with HBV-associated diseases such as liver cirrhosis or HCC.