20 research outputs found

    Rodent carcinogenesis bioassay with oxisuran, a selective immunosuppressive agent

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    The carcinogenic potential of oxisuran, a synthetic immunosuppressive agent, was studied for 80 weeks and 104 weeks in mice and rats, respectively. Groups of 50 mice and 70 rats of each sex received oxisuran at doses of 600, 240, and 40 mg/kg/day as dietary admixtures over the entire experimental period. Adequate survival rates allowed accurate statistical analysis of diagnosed neoplasia. Increased susceptibility to tumor development was not clearly demonstrated. In mice the only statistically significant increase in the incidence of malignancy was lung carcinomas in high dose females (P P P P < 0.01) contributed to an overall decrease in both benign tumors and in the combined benign and malignant tumor rates.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/25114/1/0000547.pd

    Carcinogenicity studies in rodents with ripazepam, a minor tranquilizing agent

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    The carcinogenesis potential of ripazepam, a benzodiazepine derivative, was studied in mice and rats for 78 and 104 weeks, respectively. Groups of 50 male and 50 female CD1 mice and CD rats each were given doses of 15 and 150 mg/kg of ripazepam in the diet. Survival rates were adequate for statistical analysis. Significant suppression of body weight gains occurred in rats but not in mice given 150 mg/kg/day. The compound failed to increase tumor rates or alter the average latency of neoplasms in the rat. In mice, the number of male animals with tumors was increased at 150 mg/kg and this was related to a significant increase in the number of animals with hepatocellular tumors. Hepatocellular tumors were increased also in female mice but the increase was not statistically significant. All but one of these hepatic neoplasms were hepatocellular adenomas and the one carcinoma had not metastasized. Other tumor types were not increased.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/24852/1/0000279.pd

    Evaluation of chronic toxicity and carcinogenesis in rodents with the synthetic analgesic, tilidine fumarate

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    The carcinogenic potential of tilidine fumarate, a synthetic analgesic, was studied for 80 and 104 weeks in mice and rats, respectively. Groups of 50 albino CF1 mice and 65 albino Wistar rats of each sex received tilidine fumarate-lactose blend (1:1) at doses of 100, 40 and 16 mg/kg. The control groups consisted of 100 mice and 115 rats of each sex and received the lactose vehicle only. Treatment-related non-neoplastic changes consisted of reversible, increased cytoplasmic eosinophilia of hepatocytes in high and mid dose rats corresponding to areas of proliferating smooth endoplasmic reticulum; and an increased in high dose rats of proliferative or cystic lesions of the biliary epithelium. Adequate survival rates allowed stringent statistical analysis of neoplasia. Tilidine did not evoke increased tumor incidences or changes in teh average latency or onset of tumors in either species. The most frequent tumors represented spontaneous neoplasia characteristic of historical background incidence in these strains. In mice, the only statistically significant (P P < 0.01) decreased incidences of mammary fibroadenoma and pituitary adenoma. From these data, it was concluded that the synthetic analgesic tilidine does not possess tumorigenic potential in rodents.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/26174/1/0000253.pd

    The pathogenesis of trimethyltin chloride-induced nephrotoxicity

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    In exploratory studies aimed at elucidating CNS effects due to heavy metal toxicity, signs of compromised renal function were seen in rats. The studies reported here describe the sequential steps of the development of nephrotoxicity by trimethyltin chloride (TMT) in rats. Single doses of 12.25 mg/kg TMT administered orally to 150- to 175-g Long-Evans rats elicited overt signs of toxicity including behavioral abnormalities and marked weight loss. Concurrent with the development of these signs, nephrotoxicity was manifested as functional kidney compromise and associated histopathologic evidence of tubular damage. Pathological changes in the kidneys from treated rats were hyaline droplet inclusions, attenuated brush border, basolateral vacuolization, and eosinophilic granular casts in the proximal tubule cells. These lesions were detected as early as 2 days post-treatment and progressed with time in an orderly and sequential fashion. Renal lesions between 5 and 8 days were mild to severe cortical tubular dilatation, hydropic degeneration, and diffuse hyaline droplet deposition in the lower nephron tubules. Medullary edema and exfoliation of degenerated tubular epithelial cells with cast formation followed from 8 to 11 days. The morphological changes were accompanied by marked elevation of blood urea nitrogen, parallel with polyuria at Day 2 and oliguria by Day 14. Behavioral abnormalities as well as weight loss correlated well with the time course and severity of renal dysfunction and progression of morphological changes. A second experiment compared the effects of TMT in rats of different weights. Heavier rats were more sensitive than lighter rats to the nephrotoxic effects of TMT. These effects were independent of recognizable neurotoxic effects of TMT in the hippocampus.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/26824/1/0000383.pd

    Peroxisome population parameters in rats fed a high-fat diet

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    Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/24122/1/0000379.pd

    Guidelines for Genome-Scale Analysis of Biological Rhythms

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    Genome biology approaches have made enormous contributions to our understanding of biological rhythms, particularly in identifying outputs of the clock, including RNAs, proteins, and metabolites, whose abundance oscillates throughout the day. These methods hold significant promise for future discovery, particularly when combined with computational modeling. However, genome-scale experiments are costly and laborious, yielding “big data” that are conceptually and statistically difficult to analyze. There is no obvious consensus regarding design or analysis. Here we discuss the relevant technical considerations to generate reproducible, statistically sound, and broadly useful genome-scale data. Rather than suggest a set of rigid rules, we aim to codify principles by which investigators, reviewers, and readers of the primary literature can evaluate the suitability of different experimental designs for measuring different aspects of biological rhythms. We introduce CircaInSilico, a web-based application for generating synthetic genome biology data to benchmark statistical methods for studying biological rhythms. Finally, we discuss several unmet analytical needs, including applications to clinical medicine, and suggest productive avenues to address them

    Repositioning of the global epicentre of non-optimal cholesterol

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    High blood cholesterol is typically considered a feature of wealthy western countries1,2. However, dietary and behavioural determinants of blood cholesterol are changing rapidly throughout the world3 and countries are using lipid-lowering medications at varying rates. These changes can have distinct effects on the levels of high-density lipoprotein (HDL) cholesterol and non-HDL cholesterol, which have different effects on human health4,5. However, the trends of HDL and non-HDL cholesterol levels over time have not been previously reported in a global analysis. Here we pooled 1,127 population-based studies that measured blood lipids in 102.6 million individuals aged 18 years and older to estimate trends from 1980 to 2018 in mean total, non-HDL and HDL cholesterol levels for 200 countries. Globally, there was little change in total or non-HDL cholesterol from 1980 to 2018. This was a net effect of increases in low- and middle-income countries, especially in east and southeast Asia, and decreases in high-income western countries, especially those in northwestern Europe, and in central and eastern Europe. As a result, countries with the highest level of non-HDL cholesterol—which is a marker of cardiovascular risk—changed from those in western Europe such as Belgium, Finland, Greenland, Iceland, Norway, Sweden, Switzerland and Malta in 1980 to those in Asia and the Pacific, such as Tokelau, Malaysia, The Philippines and Thailand. In 2017, high non-HDL cholesterol was responsible for an estimated 3.9 million (95% credible interval 3.7 million–4.2 million) worldwide deaths, half of which occurred in east, southeast and south Asia. The global repositioning of lipid-related risk, with non-optimal cholesterol shifting from a distinct feature of high-income countries in northwestern Europe, north America and Australasia to one that affects countries in east and southeast Asia and Oceania should motivate the use of population-based policies and personal interventions to improve nutrition and enhance access to treatment throughout the world

    Repositioning of the global epicentre of non-optimal cholesterol

    Get PDF
    High blood cholesterol is typically considered a feature of wealthy western countries(1,2). However, dietary and behavioural determinants of blood cholesterol are changing rapidly throughout the world(3) and countries are using lipid-lowering medications at varying rates. These changes can have distinct effects on the levels of high-density lipoprotein (HDL) cholesterol and non-HDL cholesterol, which have different effects on human health(4,5). However, the trends of HDL and non-HDL cholesterol levels over time have not been previously reported in a global analysis. Here we pooled 1,127 population-based studies that measured blood lipids in 102.6 million individuals aged 18 years and older to estimate trends from 1980 to 2018 in mean total, non-HDL and HDL cholesterol levels for 200 countries. Globally, there was little change in total or non-HDL cholesterol from 1980 to 2018. This was a net effect of increases in low- and middle-income countries, especially in east and southeast Asia, and decreases in high-income western countries, especially those in northwestern Europe, and in central and eastern Europe. As a result, countries with the highest level of non-HDL cholesterol-which is a marker of cardiovascular riskchanged from those in western Europe such as Belgium, Finland, Greenland, Iceland, Norway, Sweden, Switzerland and Malta in 1980 to those in Asia and the Pacific, such as Tokelau, Malaysia, The Philippines and Thailand. In 2017, high non-HDL cholesterol was responsible for an estimated 3.9 million (95% credible interval 3.7 million-4.2 million) worldwide deaths, half of which occurred in east, southeast and south Asia. The global repositioning of lipid-related risk, with non-optimal cholesterol shifting from a distinct feature of high-income countries in northwestern Europe, north America and Australasia to one that affects countries in east and southeast Asia and Oceania should motivate the use of population-based policies and personal interventions to improve nutrition and enhance access to treatment throughout the world.Peer reviewe

    Guidelines for Genome-Scale Analysis of Biological Rhythms

    Get PDF
    Genome biology approaches have made enormous contributions to our understanding of biological rhythms, particularly in identifying outputs of the clock, including RNAs, proteins, and metabolites, whose abundance oscillates throughout the day. These methods hold significant promise for future discovery, particularly when combined with computational modeling. However, genome-scale experiments are costly and laborious, yielding ‘big data’ that is conceptually and statistically difficult to analyze. There is no obvious consensus regarding design or analysis. Here we discuss the relevant technical considerations to generate reproducible, statistically sound, and broadly useful genome scale data. Rather than suggest a set of rigid rules, we aim to codify principles by which investigators, reviewers, and readers of the primary literature can evaluate the suitability of different experimental designs for measuring different aspects of biological rhythms. We introduce CircaInSilico, a web-based application for generating synthetic genome biology data to benchmark statistical methods for studying biological rhythms. Finally, we discuss several unmet analytical needs, including applications to clinical medicine, and suggest productive avenues to address them

    Repositioning of the global epicentre of non-optimal cholesterol

    Get PDF
    High blood cholesterol is typically considered a feature of wealthy western countries1,2. However, dietary and behavioural determinants of blood cholesterol are changing rapidly throughout the world3 and countries are using lipid-lowering medications at varying rates. These changes can have distinct effects on the levels of high-density lipoprotein (HDL) cholesterol and non-HDL cholesterol, which have different effects on human health4,5. However, the trends of HDL and non-HDL cholesterol levels over time have not been previously reported in a global analysis. Here we pooled 1,127 population-based studies that measured blood lipids in 102.6 million individuals aged 18 years and older to estimate trends from 1980 to 2018 in mean total, non-HDL and HDL cholesterol levels for 200 countries. Globally, there was little change in total or non-HDL cholesterol from 1980 to 2018. This was a net effect of increases in low- and middle-income countries, especially in east and southeast Asia, and decreases in high-income western countries, especially those in northwestern Europe, and in central and eastern Europe. As a result, countries with the highest level of non-HDL cholesterol—which is a marker of cardiovascular risk—changed from those in western Europe such as Belgium, Finland, Greenland, Iceland, Norway, Sweden, Switzerland and Malta in 1980 to those in Asia and the Pacific, such as Tokelau, Malaysia, The Philippines and Thailand. In 2017, high non-HDL cholesterol was responsible for an estimated 3.9 million (95% credible interval 3.7 million–4.2 million) worldwide deaths, half of which occurred in east, southeast and south Asia. The global repositioning of lipid-related risk, with non-optimal cholesterol shifting from a distinct feature of high-income countries in northwestern Europe, north America and Australasia to one that affects countries in east and southeast Asia and Oceania should motivate the use of population-based policies and personal interventions to improve nutrition and enhance access to treatment throughout the world.</p
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