663 research outputs found

    Addiction-related genes in gambling disorders:new insights from parallel human and pre-clinical models

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    Neurobiological research supports the characterization of disordered gambling (DG) as a behavioral addiction. Recently, an animal model of gambling behavior was developed (rat gambling task, rGT), expanding the available tools to investigate DG neurobiology. We investigated whether rGT performance and associated risk gene expression in the rat's brain could provide cross-translational understanding of the neuromolecular mechanisms of addiction in DG. We genotyped tagSNPs (single-nucleotide polymorphisms) in 38 addiction-related genes in 400 DG and 345 non-DG subjects. Genes with P<0.1 in the human association analyses were selected to be investigated in the animal arm to determine whether their mRNA expression in rats was associated with the rat's performance on the rGT. In humans, DG was significantly associated with tagSNPs in DRD3 (rs167771) and CAMK2D (rs3815072). Our results suggest that age and gender might moderate the association between CAMK2D and DG. Moderation effects could not be investigated due to sample power. In the animal arm, only the association between rGT performance and Drd3 expression remained significant after Bonferroni correction for 59 brain regions. As male rats were used, gender effects could not be investigated. Our results corroborate previous findings reporting the involvement of DRD3 receptor in addictions. To our knowledge, the use of human genetics, pre-clinical models and gene expression as a cross-translation paradigm has not previously been attempted in the field of addictions. The cross-validation of human findings in animal models is crucial for improving the translation of basic research into clinical treatments, which could accelerate neurobiological and pharmacological investigations in addictions

    Efeitos da adubação, configuração de plantio e cultivares na cultura do gergelim no nordeste do Brasil.

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    bitstream/item/33349/1/EFEITOS-DA-ADUBACAO.pd

    Influência do espaçamento e da densidade de plantio no rendimento da cultivar CNPA Precoce 1.

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    bitstream/item/33356/1/INFLUENCIA-DO-ESPACAMENTO.pd

    Controle integrado de plantas daninhas em agroecossistemas cotonicolas.

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    bitstream/item/33329/1/CONTOLE-INTEGRADO.pd

    Study of the electron trigger efficiency of the CMS Experiment using test beam data

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    A study of the electron identification and selection efficiency of the L1 Trigger algorithm has been performed using the combined ECAL/HCAL test beam data. A detailed discussion of the electron isolation and its impact on the selection efficiency is presented. The L1 electron algorithm is studied for different beam energies and the results indicate that efficiencies of 98% or more can be achieved for electrons with energies between 15 and 100 GeV. The fraction of charged hadrons with energies from 3 up to 100 GeV rejected by the L1 electron trigger algorithm is estimated to be larger than 93%.Comment: 22 pages, 14 figure

    Dosagens de Diuron e Trifluoralina em algodoeiro herbaceo municipio de Iguatu, Ceara.

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    bitstream/item/33347/1/DOSAGEM.pd
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