The Relationships between Polymorphisms in Genes Encoding the Growth Factors TGF-β1, PDGFB,EGF, bFGF and VEGF-A and the Restenosis Process in Patients with Stable Coronary Artery Disease Treated with Bare Metal Stent

Background

Neointima forming after stent implantation consists of vascular smooth muscle cells (VSMCs) in 90%. Growth factors TGF-β1, PDGFB, EGF, bFGF and VEGF-A play an important role in VSMC proliferation and migration to the tunica intima after arterial wall injury. The aim of this paper was an analysis of functional polymorphisms in genes encoding TGF-β1, PDGFB, EGF, bFGF and VEGF-A in relation to in-stent restenosis (ISR).

Materials and Methods

265 patients with a stable coronary artery disease (SCAD) hospitalized in our center in the years 2007–2011 were included in the study. All patients underwent stent implantation at admission to the hospital and had another coronary angiography performed due to recurrence of the ailments or a positive result of the test assessing the coronary flow reserve. Angiographically significant ISR was defined as stenosis >50% in the stented coronary artery segment. The patients were divided into two groups–with angiographically significant ISR (n = 53) and without significant ISR (n = 212). Additionally, the assessment of late lumen loss (LLL) in vessel was performed. EGF rs4444903 polymorphism was genotyped using the PCR-RFLP method whilst rs1800470 (TGFB1), rs2285094 (PDGFB) rs308395 (bFGF) and rs699947 (VEGF-A) were determined using the TaqMan method.

Results

Angiographically significant ISR was significantly less frequently observed in the group of patients with the A/A genotype of rs1800470 polymorphism (TGFB1) versus patients with A/G and G/G genotypes. In the multivariable analysis, LLL was significantly lower in patients with the A/A genotype of rs1800470 (TGFB1) versus those with the A/G and G/G genotypes and higher in patients with the A/A genotype of the VEGF-A polymorphism versus the A/C and C/C genotypes. The C/C genotype of rs2285094 (PDGFB) was associated with greater LLL compared to C/T heterozygotes and T/T homozygotes.

Conclusions

The polymorphisms rs1800470, rs2285094 and rs6999447 of the TGFB1, PDGFB and VEGF-A genes, respectively, are associated with LLL in patients with SCAD treated by PCI with a metal stent implantation.     

Strong dominance of functional alleles over gene deletions in both intensely growing and deeply starved yeast cells

Previous studies with diploid yeast have shown that the deletion of one allele at a single locus typically has little impact on fitness under conditions promoting fast growth. Here, we confirm and quantify this finding. The strong dominance of functional over nonfunctional alleles is predicted by the metabolic control theory which assumes that the cell is a system of metabolic fluxes and that the total metabolic rate is equivalent to fitness. To test whether these requirements are critical, we tested dominance under conditions of long‐term starvation when metabolism is low and thus the metabolic activities of proteins are likely inadequate or imbalanced. More fundamentally, the central assumption of the model, that high metabolic rate translates into high fitness, appears implausible. Contrary to these conjectures, we found that the mean rate of survival of starving heterozygotes was affected only slightly more than was the mean rate of growth under good conditions. Under none of the two treatments the central prediction of the model, that fitness of heterozygous strains is higher for the enzymatic proteins than for nonenzymatic ones, was confirmed. Our data add to growing uncertainty whether the metabolic control theory is sufficient to explain the remarkable ubiquity of strong genetic dominance.     

Anti-cancer activities of cytokinin ribosides

Phytochemistry Reviews - Cytokinins are plant hormones and play essential roles in regulating plant growth and development. They also have diverse pharmacological effects in animals and humans....     

Null model analyses of temporal patterns of bird assemblages and their foraging guilds revealed the predominance of positive and random associations

Patterns of species associations have been commonly used to infer interactions among species. If species positively co‐occur, they may form predominantly neutral assemblages, and such patterns suggest a relatively weak role for compensatory dynamics. The main objective of this study was to test this prediction on temporal samples of bird assemblages (n = 19, 10–57 years) by the presence/absence and quantitative null models on assemblage and guild levels. These null model outcomes were further analyzed to evaluate the effects of various data set characteristics on the outcomes of the null models. The analysis of two binary null models in combination with three association indices revealed 20% with significant aggregations, 61% with random associations, and only 19% with significant segregations (n = 95 simulations). The results of the quantitative null model simulations detected more none‐random associations: 61% aggregations, 6% random associations, and 33% segregations (n = 114 simulations). Similarly, quantitative analyses on guild levels showed 58% aggregations, 20% segregations, and 22% random associations (n = 450 simulations). Bayesian GLMs detected that the outcomes of the binary and quantitative null models applied to the assemblage analyses were significantly related to census plot size, whereas the outcomes of the quantitative analyses were also related to the mean population densities of species in the data matrices. In guild‐level analyses, only 9% of the GLMs showed a significant influence of matrix properties (plot size, matrix size, species richness, and mean species population densities) on the null model outcomes. The results did not show the prevalence of negative associations that would have supported compensatory dynamics. Instead, we assume that a similar response of the majority of species to climate‐driven and stochastic factors may be responsible for the revealed predominance of positive associations.     

Comparison of element levels in minimal and complex yeast media

The cellular functions are strongly influenced by the composition of the environment. In particular, phenotypes of microbial strains are modulated by concentrations of ions in the culture medium, and differences in element levels may be responsible for a phenotypic variability observed when microbial strains are grown on synthetic versus complex media. In this report, we analyzed the levels of nine elements (magnesium, potassium, sodium, calcium, iron, copper, manganese, zinc, and phosphorus) and sulphate ions in commercially available peptone and yeast extract and compared them with those in yeast nitrogen base routinely used for preparation of synthetic minimal media. We observed that whereas some elements are present at similar levels, the levels of others differ by a factor as high as 20. The observed differences should be taken into account when interpreting different phenotypes observed for microbial strains grown on synthetic versus complex media.