Distribution of cytochrome P450 2C, 2E1, 3A4, and 3A5 in human colon mucosa

BACKGROUND: Despite the fact that the alimentary tract is part of the body's first line of defense against orally ingested xenobiotica, little is known about the distribution and expression of cytochrome P450 (CYP) enzymes in human colon. Therefore, expression and protein levels of four representative CYPs (CYP2C(8), CYP2E1, CYP3A4, and CYP3A5) were determined in human colon mucosa biopsies obtained from ascending, descending and sigmoid colon. METHODS: Expression of CYP2C, CYP2E1, CYP3A4, and CYP3A5 mRNA in colon mucosa was determined by RT-PCR. Protein concentration of CYPs was determined using Western blot methods. RESULTS: Extensive interindividual variability was found for the expression of most of the genes. However, expression of CYP2C mRNA levels were significantly higher in the ascending colon than in the sigmoid colon. In contrast, mRNA levels of CYP2E1 and CYP3A5 were significantly lower in the ascending colon in comparison to the descending and sigmoid colon. In sigmoid colon protein levels of CYP2C8 were significantly higher by ~73% than in the descending colon. In contrast, protein concentration of CYP2E1 was significantly lower by ~81% in the sigmoid colon in comparison to the descending colon. CONCLUSION: The current data suggest that the expression of CYP2C, CYP2E1, and CYP3A5 varies in different parts of the colon

Reduced cytochrome P4501A activity and recovery from oxidative stress during subchronic benzo[a]pyrene and benzo[e]pyrene treatment of rainbow trout

Author Posting. © The Author(s), 2011. This is the author's version of the work. It is posted here by permission of Elsevier B.V. for personal use, not for redistribution. The definitive version was published in Toxicology and Applied Pharmacology 254 (2011): 1-7, doi:10.1016/j.taap.2011.04.015.This study assessed the role of aryl hydrocarbon receptor (AHR) affinity, and cytochrome P4501A (CYP1A) protein and activity in polyaromatic hydrocarbon (PAH)-­‐induced oxidative stress. In the 1-­‐100 nM concentration range benzo[a]pyrene (BaP) but not benzo[e]pyrene (BeP) competitively displaced 2 nM [3H]2, 3, 7, 8-­‐tetrachloro-­‐dibenzo-­‐p-­‐dioxin from rainbow trout AHR2α. Based on appearance of fluorescent aromatic compounds in bile over 3, 7, 14, 28 or 50 days of feeding 3 μg of BaP or BeP/g fish/day, rainbow trout liver readily excreted these polyaromatic hydrocarbons (PAHs) and their metabolites at near steady state rates. CYP1A proteins catalyzed more than 98% of ethoxyresorufin-­‐O-­‐deethylase (EROD) activity in rainbow trout hepatic microsomes. EROD activity of hepatic microsomes initially increased and then decreased to control activities after 50 days of feeding both PAHs. Immunohistochemistry of liver confirmed CYP1A protein increased in fish fed both PAHs after 3 days and remained elevated for up to 28 days. Neither BaP nor BeP increased hepatic DNA adduct concentrations at any time up to 50 days of feeding these PAHs. Comet assays of blood cells demonstrated marked DNA damage after 14 days of feeding both PAHs that was not significant after 50 days. There was a strong positive correlation between hepatic EROD activity and DNA damage in blood cells over time for both PAHs. Neither CYP1A protein nor 3-­‐ nitrotyrosine (a biomarker for oxidative stress) immunostaining in trunk kidney were significantly altered by BaP or BeP after 3, 7, 14, or 28 days. There was no clear association between AHR2α affinity and BaP and BeP-­‐induced oxidative stress.The Oregon Agricultural Experiment Station, Northwest Fisheries Science Center, and RO1ES006272 from the National Institute of Health supported this work

Parameter estimate of signal transduction pathways

BACKGROUND: The "inverse" problem is related to the determination of unknown causes on the bases of the observation of their effects. This is the opposite of the corresponding "direct" problem, which relates to the prediction of the effects generated by a complete description of some agencies. The solution of an inverse problem entails the construction of a mathematical model and takes the moves from a number of experimental data. In this respect, inverse problems are often ill-conditioned as the amount of experimental conditions available are often insufficient to unambiguously solve the mathematical model. Several approaches to solving inverse problems are possible, both computational and experimental, some of which are mentioned in this article. In this work, we will describe in details the attempt to solve an inverse problem which arose in the study of an intracellular signaling pathway. RESULTS: Using the Genetic Algorithm to find the sub-optimal solution to the optimization problem, we have estimated a set of unknown parameters describing a kinetic model of a signaling pathway in the neuronal cell. The model is composed of mass action ordinary differential equations, where the kinetic parameters describe protein-protein interactions, protein synthesis and degradation. The algorithm has been implemented on a parallel platform. Several potential solutions of the problem have been computed, each solution being a set of model parameters. A sub-set of parameters has been selected on the basis on their small coefficient of variation across the ensemble of solutions. CONCLUSION: Despite the lack of sufficiently reliable and homogeneous experimental data, the genetic algorithm approach has allowed to estimate the approximate value of a number of model parameters in a kinetic model of a signaling pathway: these parameters have been assessed to be relevant for the reproduction of the available experimental data

No strings attached: adult attachment styles in friends with benefits relationship

Friends with benefits (FWB), is defined as a relationship between friends in which the friends engage in sexual activity, but do not define their relationship as romantic or committed (Bisson & Levine, 2009; Epstein, Calzo, Smiler, & Ward, 2009; Lehmiller, VanderDrift, & Kelly, 2011 ; Puentes, Knox, & Zusman, 2008). When examining intimate and interpersonal relationships, attachment theory is considered a key component in shaping the quality and type of relationship a person becomes involved in (Cassidy, & Shaver, 1999). Past research has found relational and sexual differences among secure, avoidant, and anxiously attached individuals. In the current study, attachment styles were examined in three different relationship types; romantic relationships (exclusive partner, fiance, or spouse), friends with benefits (a friend whom you have sex with on an ongoing basis but do not feel a sense of commitment or romance), and casual encounters (casual acquaintance or stranger whom you have a sexual encounter only once). It was predicted that due to the differences between each of these relational styles, specific patterns would emerge in the attachment styles of those involved. Specifically, individuals in a romantic relationship would be more likely to be securely attached, individuals in friends with benefits would be more likely to be anxiously attached, and individuals in casual encounters would be more likely to be avoidantly attached. A sample of 213 college participants completed a questionnaire about their current relationship and attachment style. Findings indicated that individuals in romantic/committed relationships were more secure and had significantly lower scores of both anxious and avoidant attachment compared to FWB relationships, casual encounters, and single individuals. No differences were found between FWB and casual encounter attachment scores. This is consistent with past research that has shown that individuals in committed relationships tend to have secure attachments (Kirkpatrick & Davis, 1994), and that individuals with insecure attachment, both anxious and avoidant, are more likely to engage in short-term mating and are more accepting of casual sex (Gentzler & Kerns, 2004; Schmitt, 2005) --Document

ELISA-BASE: an integrated bioinformatics tool for analyzing and tracking ELISA microarray data

Summary:ELISA-BASE is an open source database for capturing, organizing and analyzing enzyme-linked immunosorbent assay (ELISA) microarray data. ELISA-BASE is an extension of the BioArray Software Environment (BASE) database system