205 resultados para metabolic profiling


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Obesity and its sequelae may prove to be the greatest threat to human lifestyle and health in the developed world this century. The so called obesity epidemic has seen the incidence of obesity and overweight almost double in Western societies and the trend is mirrored in nations that are transitioning to first world economies. There is no doubt that much of the rise in obesity can be attributed to lifestyle factors such as the excess consumption of energy-dense foods and the decline in physical activity. However, the ‘fetal origins’hypothesis, first proposed by Barker and colleagues and elaborated by several groups over the past 15 years to be termed the ‘Developmental Origins of Adult Health and Disease’ (DOHaD), provides an alternative explanation for the rising rates of obesity. The DOHaD hypothesis states that exposure to an unfavourable environment during development (either in utero or in the early postnatal period) programmes changes in fetal or neonatal development such that the individual is then at greater risk of developing adulthood disease. This chapter discusses the effects of maternal obesity on fetal development and birth outcomes as well as the manner in which DOHaD may contribute to the obesity epidemic.

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This report examines how many businesses make significant investments to purchase and develop customer relationship management systems. Given such investments, information about these systems is not widely available, but some publicly available information gives indication of the extent, and purpose, of the use. Recognising that lenders use customer information and highly sophisticated systems to target their marketing strategies, is the first step towards ensuring that these practices are taken into account in the development of consumer policy and law reform. This research was funded by the consumer advisory panel of the Australian Securities and Investment Commission (ASIC).

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A nationwide survey of 2022 consumers was conducted in Australia in late 2011. A short list of questions about knowledge of the nutrient composition of common foods was administered along with questions about the respondents’ food attitudes, demographics, school education and dieting practices. Overall, the results showed that nutrition knowledge was relatively high. Latent class analysis showed two groups of consumers with ‘high’ and ‘low’ knowledge of nutrition. Higher knowledge was positively associated with age, female sex, university education, experience of home economics or health education at school, having a chronic disease, and attitudes to food issues, and negatively with type 1 diabetes or the use of diabetes-control diets. The implications of the findings for nutrition communication are discussed.

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Type 2 diabetes is one of the leading threats to human health. The research focused to identify new drugs that could partly mimic the positive effects of exercise and to test whether these drugs could have the potential to treat metabolic diseases such as obesity and type 2 diabetes

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 The major findings established a mouse brown adipose tissue (BAT)-enriched miRNA profile conserved in human BAT and predicted to target genes potentially involved in growth and development. The present results also identified a human skeletal muscle-derived CD34+ cell population with the capacity to differentiate into brown adipocytes in vitro. These CD34+ expressed common miRNAs to mouse and human BAT. Finally these findings show an up-regulation of 4 miRNAs in human adult skeletal muscle following cold exposure. These miRNAs were also present in mouse and human BAT as well as in CD34+ brown adipocytes.

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The mammalian target of rapamycin (mTOR) pathway is the primary regulator of muscle protein synthesis. Metabolic syndrome (MetS) is characterized by central obesity and insulin resistance; little is known about how MetS affects the sensitivity of the mTOR pathway to feeding.

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To investigate the effect of low glycemic index (LGI) carbohydrate meal on subjective, metabolic and physiological responses, and endurance performance in the Ramadan fasted state.

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Health literacy is a multi-dimensional concept comprising a range of cognitive, affective, social, and personal skills and attributes. This paper describes the research and development protocol for a large communities-based collaborative project in Victoria, Australia that aims to identify and respond to health literacy issues for people with chronic conditions. The project, called Ophelia (OPtimising HEalth LIterAcy) Victoria, is a partnership between two universities, eight service organisations and the Victorian Government. Based on the identified issues, it will develop and pilot health literacy interventions across eight disparate health services to inform the creation of a health literacy response framework to improve health outcomes and reduce health inequalities.

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Background The metabolic syndrome (MetS) is a complex of multiple risk factors that contribute to the onset of cardiovascular disorder, including lowered levels of high-density lipoprotein (HDL) and abdominal obesity. Smoking, mood disorders, and oxidative stress are associated with the MetS. Paraoxonase (PON)1 is an antioxidant bound to HDL, that is under genetic control by functional polymorphisms in the PON1 Q192R coding sequence. Aims and methods This study aimed to delineate the associations of the MetS with plasma PON1 activity, PON1 Q192R genotypes, smoking, and mood disorders (major depression and bipolar disorder), while adjusting for HDL cholesterol, body mass index, age, gender, and sociodemographic data. We measured plasma PON1 activity and serum HDL cholesterol and determined PON1 Q192R genotypes through functional analysis in 335 subjects, consisting of 97 with and 238 without MetS. The severity of nicotine dependence was measured using the Fagerström Nicotine Dependence Scale. Results PON1 Q192R functional genotypes and PON1 Q192R genotypes by smoking interactions were associated with the MetS. The QQ and QR genotypes were protective against MetS while smoking increased metabolic risk in QQ carriers only. There were no significant associations between PON1 Q192R genotypes and smoking by genotype interactions and obesity or overweight, while body mass index significantly increased MetS risk. Smoking and especially severe nicotine dependence are significantly associated with the MetS although these effects were no longer significant after considering the effects of the smoking by PON1 Q192R genotype interaction. The MetS was not associated with mood disorders, major depression or bipolar disorder. Discussion PON1 Q192R genotypes and genotypes by smoking interactions are risk factors for the MetS that together with lowered HDL and increased body mass and age contribute to the MetS.

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Altered metabolism in tissues such as the liver, skeletal muscle and adipose tissue is observed in metabolic diseases characterized by nutrient excess and energy imbalance, such as obesity and type 2 diabetes. These alterations in metabolism can include resistance to the hormone insulin, lipid accumulation, mitochondrial dysfunction and transcriptional remodelling of major metabolic pathways. The underlying assumption has been that these same alterations in metabolism are fundamental to the pathogenesis of metabolic diseases. An alternative view is that these alterations in metabolism occur to protect cell and tissue viability in the face of constant positive energy balance. This speculative review presents evidence that many of the metabolic adaptations that occur in metabolic diseases characterized by nutrient excess can be viewed as protective in nature, rather than pathogenic per se for disease progression. Finally, we also briefly discuss the usefulness and potential pitfalls of therapeutic approaches that attempt to correct these same metabolic defects when energy balance is not altered, and the potential links between metabolic survival responses and other chronic diseases such as cancer.

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Individuals born after intrauterine growth restriction (IUGR) are at an increased risk of developing diabetes in their adult life. IUGR impairs β-cell function and reduces β-cell mass, thereby diminishing insulin secretion. IUGR also induces insulin resistance, with impaired insulin signaling in muscle in adult humans who were small for gestational age (SGA) and in rodent models of IUGR. There is epidemiological evidence in humans that exercise in adults can reduce the risk of metabolic disease following IUGR. However, it is not clear whether adult IUGR individuals benefit to the same extent from exercise as do normal-birth-weight individuals, as our rat studies suggest less of a benefit in those born IUGR. Importantly, however, there is some evidence from studies in rats that exercise in early life might be able to reverse or reprogram the long-term metabolic effects of IUGR. Studies are needed to address gaps in current knowledge, including determining the mechanisms involved in the reprogramming effects of early exercise in rats, whether exercise early in life or in adulthood has similar beneficial metabolic effects in larger animal models in which insulin resistance develops after IUGR. Human studies are also needed to determine whether exercise training improves insulin secretion and insulin sensitivity to the same extent in IUGR adults as in control populations. Such investigations will have implications for customizing the recommended level and timing of exercise to improve metabolic health after IUGR.

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Phishing attacks continue unabated to plague Internet users and trick them into providing personal and confidential information to phishers. In this paper, an approach for email-born phishing detection based on profiling and clustering techniques is proposed. We formulate the profiling problem as a clustering problem using various features present in the phishing emails as feature vectors and generate profiles based on clustering predictions. These predictions are further utilized to generate complete profiles of the emails. We carried out extensive experimental analysis of the proposed approach in order to evaluate its effectiveness to various factors such as sensitivity to the type of data, number of data sizes and cluster sizes. We compared the performance of the proposed approach against the Modified Global Kmeans (MGKmeans) approach. The results show that the proposed approach is efficient as compared to the baseline approach. © 2014 Elsevier Ltd. All rights reserved.