50 research outputs found

    The Induction of Adenomata in Mouse Lung Homografts by Chemical Carcinogens

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    Implants of lung from 18-day-old embryo BALB/c mice of an inbred strain were exposed to 3,4-benz(a)pyrene or 1,2,5,6-dibenzanthracene and introduced subcutaneously into 6-week-old mice of the same strain. Lung adenomata developed within 16 weeks

    Pulmonary Adenomata Induced by Carcinogen Treatment in Organ Culture. Influence of Increasing Amounts of Carcinogen

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    Explants of lung from 1 month old inbred BALB/c mice were cultured in vitro for 4 days with 3-methylcholanthrene added to the culture medium at various dose levels. They were subsequently implanted subcutaneously into 6-week-old mice of the same strain

    Outcomes from elective colorectal cancer surgery during the SARS-CoV-2 pandemic

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    This study aimed to describe the change in surgical practice and the impact of SARS-CoV-2 on mortality after surgical resection of colorectal cancer during the initial phases of the SARS-CoV-2 pandemic

    Data from: Body macronutrient composition is predicted by lipid and not protein content of the diet

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    Content in the Dryad Digital Repository is offered "as is." By downloading files, you agree to the Dryad Terms of Service.1. Diet is an important determinant of fitness related traits including growth, reproduction and survival. Recent work suggests that variation in protein : lipid ratio, particularly the amount of protein, in the diet is a key nutritional parameter. However, the traits that mediate the link between dietary macronutrient ratio and fitness related traits are less well understood. An obvious candidate is body composition, given its well-known link to health. 2. Here we investigate the relationship between dietary and body macronutrient composition using a freshwater fish, the three-spine stickleback (Gasterosteus aculeatus). Carbohydrate is relatively unimportant in the diet of predatory fish, facilitating the exploration of how dietary protein to lipid ratio affects their relative deposition in the body. 3. We find a significant effect of lipid intake, rather than protein, on body protein : lipid ratio. This was not a result of absorbing macronutrients in relation to their relative abundance in the diet, as the carcass protein : lipid ratios differed from those of the diets, with ratios usually lower in the body than in the diet. This indicates that individuals can moderate their utilisation, or uptake, of ingested macronutrients to reach a target balance within the body. 4. We found no effect of diet on swimming endurance, activity or testes size. However, there was an effect of weight on testes size, with larger males having larger testes. 5. Our results provide evidence for the adjustment of body protein : lipid ratio away from that of the diet. As lipid intake was the key determinant of body composition, we suggest this occurs via metabolism of excess protein, conflicting with the predictions of the protein leverage hypothesis. These results could imply that the conversion and excretion of protein is one of the causes of the survival costs associated with high protein diets.When using this data, please cite the original publication: Moatt JP, Hambly C, Heap E, Kramer A, Moon F, Speakman JR, Walling CA (2017) Body macronutrient composition is predicted by lipid and not protein content of the diet. Ecology and Evolution 7(23): 10056-10065. https://doi.org/10.1002/ece3.3529 Additionally, please cite the Dryad data package: Moatt JP, Hambly C, Heap E, Kramer A, Moon F, Speakman JR, Walling CA (2017) Data from: Body macronutrient composition is predicted by lipid and not protein content of the diet. Dryad Digital Repository. https://doi.org/10.5061/dryad.k3rv

    Additional file 17 of Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis

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    Additional file 17: Table S9. PheWAS UKB-MVP meta-analysis results for each index lipid variant at Bonferroni threshold for multiple testing

    Additional file 28 of Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis

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    Additional file 28: Table S18. Sex-participation association of the variants with significant sex-specific lipid results

    Additional file 33 of Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis

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    Additional file 33: Table S22. Mouse genes with lipid phenotypes (silver set)

    Additional file 27 of Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis

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    Additional file 27: Table S17. Sex-stratified effect sizes in UK Biobank considering all individuals or only those not on cholesterol lowering medications
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