27 research outputs found

    Lack of association between serotonin transporter gene polymorphism 5-HTTLPR and smoking among Polish population: a case-control study

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    <p>Abstract</p> <p>Background</p> <p>A better understanding of the genetic determinants of tobacco smoking might help in developing more effective cessation therapies, tailored to smokers' genotype. Insertion/deletion polymorphism in the promoter region of the serotonin transporter gene (<it>5-HTTLPR</it>) has been linked to vulnerability to smoking and ability to quit. We aimed to determine whether <it>5-HTTLPR </it>genotype is associated with smoking behavior in Caucasians from Northern Poland and to investigate other risk factors for tobacco smoking.</p> <p>Methods</p> <p><it>5-HTTLPR </it>genotypes were determined in 149 ever smokers (66 females; mean age 53.0 years) and 158 gender and ethnicity matched never smoking controls (79 females; mean age 45.0 years) to evaluate the association of this polymorphism with ever smoking status. Analysis of smokers was performed to evaluate the role of <it>5-HTTLPR </it>in the age of starting regular smoking, the number of cigarettes smoked daily, pack-years, FTND score, duration of smoking, and the mean length of the longest abstinence on quitting. Genotype was classified according to the presence or absence of the short (<it>S</it>) allele vs. the long (<it>L</it>) allele of <it>5-HTTLPR </it>(i.e., <it>S/S </it>+ <it>S/L </it>vs. <it>L/L</it>). Logistic regression analysis was also used to evaluate correlation between ever smoking and several selected variables.</p> <p>Results</p> <p>We found no significant differences in the rates of <it>S </it>allele carriers in ever smokers and never smokers, and no relationship was observed between any quantitative measures of smoking and the polymorphism. Multivariate analysis demonstrated significant association between the older age (OR = 4.03; 95% CI: 2.33–6.99) and alcohol dependence (OR = 10.23; 95% CI: 2.09–50.18) and smoking.</p> <p>Conclusion</p> <p><it>5-HTTLPR </it>seems to be not a major factor determining cigarette smoking in Poles. Probably, the risk of smoking results from a large number of genes, each contributing a small part of the overall risk, while numerous non-genetic factors might strongly influence these genetic undergrounds of susceptibility to smoking.</p

    The arrangement of Brachypodium distachyon chromosomes in interphase nuclei

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    The spatial organization of chromatin within the interphase nucleus and the interactions between chromosome territories (CTs) are essential for various biological processes, such as DNA replication, transcription, and repair. However, detailed data about the CT arrangement in monocotyledonous plants are scarce. In this study, chromosome painting was used to analyse the distribution and associations of individual chromosomes in the 3-D preserved nuclei of Brachypodium distachyon root cells in order to determine the factors that may have an impact on the homologous CT arrangement. It was shown that the frequency of CT association is linked to the steric constraints imposed by the limited space within the nucleus and may depend on chromosome size and morphology as well as on the nuclear shape. Furthermore, in order to assess whether the distribution of interphase chromosomes is random or is subject to certain patterns, a comparison between the experimental data and the results of a computer simulation (ChroTeMo), which was based on a fully probabilistic distribution of the CTs, was performed. This comparison revealed that homologous chromosome arm CTs associate more often than if they were randomly arranged inside the interphase nucleus

    Novel visual analytics approach for chromosome territory analysis

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    This document presents a new and improved, more intuitive version of a novel method for visually representing the location of objects relative to each other in 3D. The motivation and inspiration for developing this new method came from the necessity for objective chromosome territory (CT) adjacency analysis. The earlier version, Distance Profile Chart (DPC), used octants for 3D orientation. This approach did not provide the best 3D space coverage since space was divided into just eight cones and was not intuitive with regard to orientation in 3D. However, the version presented in this article, called DPC12, allows users to achieve better space coverage during conification since space is now divided into twelve cones. DPC12 is faster than DPC and allows for a more precise determination of the location of objects in 3D. In this article a short introduction about the conification idea is presented. Then we explain how DPC12 is designed and created. After that, we show DPC12 on an instructional dataset to make it easier to understand and demonstrate how they appear and how to read them. Finally, using DPC12 we present an example of an adjacency analysis (AA) using the model of Chromosome Territories (CTs) distribution in the rice nucleus

    Influences of polymorphic variants of DRD2 and SLC6A3 genes, and their combinations on smoking in Polish population

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    <p>Abstract</p> <p>Background</p> <p>Polymorphisms in dopaminergic genes may influence cigarette smoking by their potential impact on dopamine reward pathway function. <it>A1 </it>allele of <it>DRD2 </it>gene is associated with a reduced dopamine D2 receptor density, and it has been hypothesised that <it>A1 </it>carriers are more vulnerable to smoking. In turn, the 9-repeat allele of dopamine transporter gene (<it>SLC6A3</it>) has been associated with a substantial reduction in dopamine transporter, what might result in the higher level of dopamine in the synaptic cleft, and thereby protective role of this allele from smoking. In the present study we investigated whether polymorphic variants of <it>DRD2 </it>and <it>SLC6A3 </it>genes and their combinations are associated with the smoking habit in the Polish population.</p> <p>Methods</p> <p>Genotyping for <it>Taq</it>I<it>A </it>polymorphism of <it>DRD2 </it>and <it>SLC6A3 </it>VNTR polymorphism was performed in 150 ever-smokers and 158 never-smokers. The association between the smoking status and smoking phenotypes (related to the number of cigarettes smoked daily and age of starting regular smoking), and genotype/genotype combinations was expressed by ORs together with 95% CI. Alpha level of 0.05, with Bonferroni correction whenever appropriate, was used for statistical significance.</p> <p>Results</p> <p>At the used alpha levels no association between <it>DRD2 </it>and <it>SLC6A</it>3 genotypes and smoking status was found. However, <it>A1 </it>allele carriers reported longer abstinence periods on quitting attempts than non-carriers (p = 0.049). The ORs for heavier smoking were 0.38 (0.17-0.88), p = 0.023, and 0.39 (0.17-0.88), p = 0.021 in carriers compared to non-carriers of <it>A1 </it>or <it>*9 </it>allele, respectively, and the OR for this smoking phenotype was 8.68 (2.47-30.46), p = 0.0005 for the <it>A1</it>-/<it>9</it>- genotype combination, relatively to the <it>A1</it>+/<it>9</it>+. Carriers of <it>*9 </it>allele of <it>SLC6A3 </it>had over twice a lower risk to start smoking before the age of 20 years compared to non-carriers (sex-adjusted OR = 0.44; 95% CI: 0.22-0.89; p = 0.0017), and subjects with <it>A1-/9- </it>genotype combination had a higher risk for staring regular smoking before the age of 20 years in comparison to subjects with <it>A1+/9+ </it>genotype combination (sex-adjusted OR = 3.79; 95% CI:1.03-13.90; p = 0.003).</p> <p>Conclusion</p> <p>Polymorphic variants of <it>DRD2 </it>and <it>SLC6A3 </it>genes may influence some aspects of the smoking behavior, including age of starting regular smoking, the level of cigarette consumption, and periods of abstinence. Further large sample studies are needed to verify this hypothesis.</p

    Innovations in biomedical engineering

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    Innovations in Biomedical Engineering 2016

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    This book presents the proceedings of the “Innovations in Biomedical Engineering IBE’2016” Conference held on October 16–18, 2016 in Poland, discussing recent research on innovations in biomedical engineering. The past decade has seen the dynamic development of more and more sophisticated technologies, including biotechnologies, and more general technologies applied in the area of life sciences. As such the book covers the broadest possible spectrum of subjects related to biomedical engineering innovations. Divided into four parts, it presents state-of-the-art achievements in: • engineering of biomaterials, • modelling and simulations in biomechanics, • informatics in medicine • signal analysis The book helps bridge the gap between technological and methodological engineering achievements on the one hand and clinical requirements in the three major areas diagnosis, therapy and rehabilitation on the other

    Phosphorylation of histone H3 serine 10 in early mouse embryos: active phosphorylation at late S phase and differential effects of ZM447439 on first two embryonic mitoses.

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    International audienceCell division in mammalian cells is regulated by Aurora kinases. The activity of Aurora A is indispensable for correct function of centrosomes and proper spindle formation, while Aurora B for chromosome biorientation and separation. Aurora B is also responsible for the phosphorylation of histone H3 serine 10 (H3S10Ph) from G2 to metaphase. Data concerning the Aurora B activity and H3S10Ph in embryonic cells are limited to primordial and maturing oocytes and advanced pronuclei in zygotes. In the present study we have analyzed H3S10Ph in 1- and 2-cell mouse embryos. We show that H3S10 remains phosphorylated at anaphase and telophase of the second meiotic division, as well as during the anaphase and telophase of the first and second embryonic mitoses. At late G1 H3S10 is dephosphorylated and subsequently phosphorylated de novo at late S phase of the first and second cell cycle. These results show that the H3S10 phosphorylation/dephosphorylation cycle in embryonic cells is different than in somatic cells. The behaviour of thymocyte G0 nuclei introduced into ovulated oocytes and early 1-cell parthenogenotes confirms that kinases responsible for de novo H3S10 phosphorylation, most probably Aurora B,  are active until G1 of the first cell cycle of mouse embryo. The inhibition of Aurora kinases by ZM447439 caused abnormalities both in the first and second mitoses. However, the disturbances in each division differed, suggesting important differences in the control of these mitoses. In ZM447439-treated mitotic zygotes Mad2 protein remained continuously present on kinetochores, what confirmed that spindle checkpoint remained active
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