Fibrogenic Polymorphisms (TGF-β, PAI-1, AT) in Mexican Patients with Established Liver Fibrosis. Potential Correlation with Pirfenidone Treatment

Abstract

Our data suggested that a combination of inherited polymorphisms increased the risk of advanced fibrosis in ELF patients. Pure HCV and pure alcohol consumption patients which were homozygous G/G carriers had 19.5- and 10.8-fold higher risk to develop advanced fibrosis respectively.

Association between TGFB1 915G/C polymorphism and susceptibility to chronic hepatitis C virus infection: A meta-analysis

“…The G→C transition at position 915 of the TGF-β1 signal sequence causes the amino acid sequence to change from arginine to proline in codon 25. A number of previous studies reported the association between this SNP and susceptibility to chronic HCV infection (14)(15)(16)(17)(18)(19)(20)(21). However, the currently available results are controversial.…”

“…Stimulating the leucocytes of patients with the GG genotype in vitro was shown to produce significantly more TGF-β1 compared to individuals with the GC genotype (39). Therefore, the association between the SNP in TGFB1 and susceptibility to chronic HCV infection was investigated by several researchers, yielding, however, inconsistent conclusions (14)(15)(16)(17)(18)(19)(20)(21). To the best of our knowledge, this is the first meta-analysis performed to assess the association between TGFB1 915G/C polymorphism and susceptibility to chronic HCV infection.…”

“…1. Finally, 8 eligible studies including a total of 1,542 participants (910 cases and 632 controls) were identified (14)(15)(16)(17)(18)(19)(20)(21). A summary of the characteristics of each study, including first author, year of publication, ethnicity of cases and controls, genotyping methods, number of cases and Table I.…”

“…The Galbraith plot and subgroup analyses based on ethnicity, genotyping method, sample size and fibrosis were performed to identify the possible sources of heterogeneity. As a result, the studies of Armendariz-Borunda et al (18) and Pereira et al (16) were considered to cause heterogeneity that may be attributed to genotyping methods and sample size. After excluding these two studies, the pooled ORs with 95% CIs did not change distinctly without the heterogeneity.…”

“…However, two studies were outside the expected 95% CI of Begg's funnel plot in the C vs. G, GC vs. GG and CC+GC vs. GG models. After excluding these two studies contributing to heterogeneity (16,18), there was no obvious asymmetry of Begg's funnel plot in the C vs. G, GC vs. GG and CC+GC vs. GG models, with Egger's test P=0.110, 0.147 and 0.204, respectively.…”