41 research outputs found

    A Model of Oxidative Stress Management: Moderation of Carbohydrate Metabolizing Enzymes in SOD1-Null Drosophila melanogaster

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    The response to oxidative stress involves numerous genes and mutations in these genes often manifest in pleiotropic ways that presumably reflect perturbations in ROS-mediated physiology. The Drosophila melanogaster SOD1-null allele (cSODn108) is proposed to result in oxidative stress by preventing superoxide breakdown. In SOD1-null flies, oxidative stress management is thought to be reliant on the glutathione-dependent antioxidants that utilize NADPH to cycle between reduced and oxidized form. Previous studies suggest that SOD1-null Drosophila rely on lipid catabolism for energy rather than carbohydrate metabolism. We tested these connections by comparing the activity of carbohydrate metabolizing enzymes, lipid and triglyceride concentration, and steady state NADPH:NADP+ in SOD1-null and control transgenic rescue flies. We find a negative shift in the activity of carbohydrate metabolizing enzymes in SOD1-nulls and the NADP+-reducing enzymes were found to have significantly lower activity than the other enzymes assayed. Little evidence for the catabolism of lipids as preferential energy source was found, as the concentration of lipids and triglycerides were not significantly lower in SOD1-nulls compared with controls. Using a starvation assay to impact lipids and triglycerides, we found that lipids were indeed depleted in both genotypes when under starvation stress, suggesting that oxidative damage was not preventing the catabolism of lipids in SOD1-null flies. Remarkably, SOD1-nulls were also found to be relatively resistant to starvation. Age profiles of enzyme activity, triglyceride and lipid concentration indicates that the trends observed are consistent over the average lifespan of the SOD1-nulls. Based on our results, we propose a model of physiological response in which organisms under oxidative stress limit the production of ROS through the down-regulation of carbohydrate metabolism in order to moderate the products exiting the electron transport chain

    HLA-DQA1*05 carriage associated with development of anti-drug antibodies to infliximab and adalimumab in patients with Crohn's Disease

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    Anti-tumor necrosis factor (anti-TNF) therapies are the most widely used biologic drugs for treating immune-mediated diseases, but repeated administration can induce the formation of anti-drug antibodies. The ability to identify patients at increased risk for development of anti-drug antibodies would facilitate selection of therapy and use of preventative strategies.This article is freely available via Open Access. Click on Publisher URL to access the full-text

    Children must be protected from the tobacco industry's marketing tactics.

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    Sex and Genetic Background Influence Superoxide Dismutase (cSOD)-Related Phenotypic Variation in Drosophila melanogaster

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    Mutations often have drastically different effects in different genetic backgrounds; understanding a gene’s biological function then requires an understanding of its interaction with genetic diversity. The antioxidant enzyme cytosolic copper/zinc superoxide dismutase (cSOD) catalyzes the dismutation of the superoxide radical, a molecule that can induce oxidative stress if its concentration exceeds cellular control. Accordingly, Drosophila melanogaster lacking functional cSOD exhibit a suite of phenotypes including decreased longevity, hypersensitivity to oxidative stress, impaired locomotion, and reduced NADP(H) enzyme activity in males. To date, cSOD-null phenotypes have primarily been characterized using males carrying one allele, cSodn108red, in a single genetic background. We used ANOVA, and the effect size partial eta squared, to partition the amount of variation attributable to cSOD activity, sex, and genetic background across a series of life history, locomotor, and biochemical phenotypes associated with the cSOD-null condition. Overall, the results demonstrate that the cSOD-null syndrome is largely consistent across sex and genetic background, but also significantly influenced by both. The sex-specific effects are particularly striking and our results support the idea that phenotypes cannot be considered to be fully defined if they are examined in limited genetic contexts

    Percent difference of enzyme activities of SOD1-nulls compared to SOD<sup>+</sup> controls under benign conditions.

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    <p>See <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0024518#pone-0024518-t001" target="_blank">Table 1</a> for mean ± SEM and statistics. Bars not connected by the same letter code are statistically different, as determined by one-way ANOVA Contrast, F1,81 = 26.36, p<0.0001.</p

    Enzyme activities, triglyceride and lipid concentrations of SOD1-nulls and SOD<sup>+</sup> controls before (blue bars) and after 24 hours starvation (green bars).

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    <p>Activity data (A–F) are presented as mean activity ± SEM. (A) G6PD, F<sub>3,36</sub> = 61.630, p<0.0001, (B) MEN, F<sub>3,36</sub> = 31.615, p<0.0001, (C) HEX, F<sub>3,36</sub> = 20.634, p<0.0001, (D) IDH, F<sub>3,36</sub> = 45.405, p<0.0001, (E) PGI, F<sub>3,36</sub> = 27.415, p<0.0001, (F) ADH, F<sub>3,36</sub> = 33.825, p<0.0001, (G) GLYP, F<sub>3,36</sub> = 16.595, p<0.0001, (H) Triglyceride concentration is expressed as the mean triglyceride concentration (mmol/L) ± SEM, F<sub>3,36</sub> = 1.023, p = 0.3939, (I) Lipid concentration is expressed as mean mg lipid ± SEM, F<sub>3,36</sub> = 32.237, p<0.0001. Significant differences denoted as: ‘*’ indicates p<0.05, and ‘***’ indicates p<0.0001, as determined by one-way ANOVA and Tukey's HSD; black stars indicate differences between genotypes (SOD1-null versus SOD<sup>+</sup> control), red stars indicate differences between experimental conditions within a genotype (e.g. fed and starved SOD<sup>+</sup> control flies).</p

    Enzyme activities, lipids and triglycerides were assayed every 24 hours for 6 days in SOD1-nulls (red line) and SOD<sup>+</sup> controls (grey line).

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    <p>(A) G6PD, F<sub>3,56</sub> = 99.18, p<0.0001 (B) MEN, F<sub>3,56</sub> = 15.60, p<0.0001 (C) HEX, F<sub>3,56</sub> = 32.56, p<0.0001 (D) IDH, F<sub>3,56</sub> = 65.62, p<0.0001 (E) GLYP, F<sub>3,56</sub> = 12.77, p<0.0001 (F) PGI, F<sub>3,56</sub> = 23.0, p<0.0001 (G) ADH, F<sub>3,56</sub> = 22.80, p<0.0001. Each point in the line represents mean activity (OD units) for 5 samples at that time point ± SEM. (H) Triglyceride concentration, each point in the line represents mean triglyceride concentration (mmol/L standardized per mg wet weight) for 5 samples at that time point ± SEM, F<sub>3,56</sub> = 0.3857, p = 0.9854 (I) Lipid concentration, each point in the line represents mean lipid concentration for 10 samples at that time point ± SEM, F<sub>3,117</sub> = 428.90, p<0.0001. Significant differences denoted as: ‘*’ indicates p<0.05, and ‘***’ indicates p<0.0001, as determined by ANCOVA.</p
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