| 1 | Genetic variants of interferon regulatory factor 5 associated with chronic hepatitis B infection显示文摘AIM To investigate possible effects of IRF5 polymorphisms in the 3' UTR region of the IFR5 locus on susceptibilityto hepatitis B virus(HBV) infection and progression of liver diseases among clinically classified Vietnamese patients.METHODS Four IFR5 SNPs(rs13242262 A/T, rs77416878 C/T, rs10488630 A/G, and rs2280714 T/C) were genotyped in clinically classified HBV patients [chronic hepatitis B(CHB). n = 99; liver cirrhosis(LC), n = 131; hepatocellular carcinoma(HCC), n = 149] and in 242 healthy controls by direct sequencing and Taq Man realtime PCR assays. RESULTS Comparing patients and controls, no significant association was observed for the four IFR5 variants. However, the alleles rs13242262 T and rs10488630 G contributed to an increased risk of liver cirrhosis(LC vs CHB: OR = 1.5, 95%CI: 1.1-2.3, adjusted P = 0.04; LC vs CHB: OR = 1.7, 95%CI: 1.1-2.6, adjusted P = 0.019). Haplotype IRF5*TCGT constructed from 4 SNPs was observed frequently in LC compared to CHB patients(OR = 2.1, 95%CI: 1.2-3.3, adjusted P = 0.008). Haplotype IRF5*TCAT occurred rather among CHB patients than in the other HBV patient groups(LC vs CHB: OR = 0.4, 95%CI: 0.2-0.8, adjusted P = 0.03; HCC vs CHB: OR = 0.3, 95%CI: 0.15-0.7, adjusted P = 0.003). The IRF5*TCAT haplotype was also associated with increased levels of ALT, AST and bilirubin. CONCLUSION Our study shows that IFR5 variants may contribute as a host factor in determining the pathogenesis in chronic HBV infections. | Bui Tien Sy Nghiem Xuan Hoan Hoang Van Tong Christian G Meyer Nguyen Linh Toan Le Huu Song Claus-Thomas Bock Thirumalaisamy P Velavan | 2018 | World Journal of Gastroenterology2018，24，2： | 9 |
| 7 | Liquidity connectedness in cryptocurrency market显示文摘We examine the dynamics of liquidity connectedness in the cryptocurrency market.We use the connectedness models of Diebold and Yilmaz(Int J Forecast 28(1):57–66,2012)and Baruník and Křehlík(J Financ Econom 16(2):271–296,2018)on a sample of six major cryptocurrencies,namely,Bitcoin(BTC),Litecoin(LTC),Ethereum(ETH),Ripple(XRP),Monero(XMR),and Dash.Our static analysis reveals a moderate liquidity connectedness among our sample cryptocurrencies,whereas BTC and LTC play a significant role in connectedness magnitude.A distinct liquidity cluster is observed for BTC,LTC,and XRP,and ETH,XMR,and Dash also form another distinct liquidity cluster.The frequency domain analysis reveals that liquidity connectedness is more pronounced in the short-run time horizon than the medium-and long-run time horizons.In the short run,BTC,LTC,and XRP are the leading contributor to liquidity shocks,whereas,in the long run,ETH assumes this role.Compared with the medium term,a tight liquidity clustering is found in the short and long terms.The time-varying analysis indicates that liquidity connectedness in the cryptocurrency market increases over time,pointing to the possible effect of rising demand and higher acceptability for this unique asset.Furthermore,more pronounced liquidity connectedness patterns are observed over the short and long run,reinforcing that liquidity connectedness in the cryptocurrency market is a phenomenon dependent on the time–frequency connectedness. | Mudassar Hasan Muhammad Abubakr Naeem Muhammad Arif Syed Jawad Hussain Shahzad Xuan Vinh Vo | 2022 | Financial Innovation2022，8，1： | 1 |
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