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        <title>Nutrition &amp; Metabolism - Most accessed articles</title>
        <link>http://www.nutritionandmetabolism.com</link>
        <description>The most accessed research articles published by Nutrition &amp; Metabolism</description>
        <dc:date>2009-10-23T00:00:00Z</dc:date>
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                                <rdf:li rdf:resource="http://www.nutritionandmetabolism.com/content/2/1/5" />
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                    It is intended to be used with an RSS reader. For more information about RSS newsfeeds from BioMed Central, visit
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        <item rdf:about="http://www.nutritionandmetabolism.com/content/2/1/5">
        <title>Fructose, insulin resistance, and metabolic dyslipidemia</title>
        <description>Obesity and type 2 diabetes are occurring at epidemic rates in the United States and many parts of the world. The &quot;obesity epidemic&quot; appears to have emerged largely from changes in our diet and reduced physical activity. An important but not well-appreciated dietary change has been the substantial increase in the amount of dietary fructose consumption from high intake of sucrose and high fructose corn syrup, a common sweetener used in the food industry. A high flux of fructose to the liver, the main organ capable of metabolizing this simple carbohydrate, perturbs glucose metabolism and glucose uptake pathways, and leads to a significantly enhanced rate of de novo lipogenesis and triglyceride (TG) synthesis, driven by the high flux of glycerol and acyl portions of TG molecules from fructose catabolism. These metabolic disturbances appear to underlie the induction of insulin resistance commonly observed with high fructose feeding in both humans and animal models. Fructose-induced insulin resistant states are commonly characterized by a profound metabolic dyslipidemia, which appears to result from hepatic and intestinal overproduction of atherogenic lipoprotein particles. Thus, emerging evidence from recent epidemiological and biochemical studies clearly suggests that the high dietary intake of fructose has rapidly become an important causative factor in the development of the metabolic syndrome. There is an urgent need for increased public awareness of the risks associated with high fructose consumption and greater efforts should be made to curb the supplementation of packaged foods with high fructose additives. The present review will discuss the trends in fructose consumption, the metabolic consequences of increased fructose intake, and the molecular mechanisms leading to fructose-induced lipogenesis, insulin resistance and metabolic dyslipidemia.</description>
        <link>http://www.nutritionandmetabolism.com/content/2/1/5</link>
                <dc:creator>Heather Basciano</dc:creator>
                <dc:creator>Lisa Federico</dc:creator>
                <dc:creator>Khosrow Adeli</dc:creator>
                <dc:source>Nutrition &amp; Metabolism 2005, 2:5</dc:source>
        <dc:date>2005-02-21T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1743-7075-2-5</dc:identifier>
        <prism:publicationName>Nutrition &amp; Metabolism</prism:publicationName>
        <prism:issn>1743-7075</prism:issn>
        <prism:volume>2</prism:volume>
        <prism:startingPage>5</prism:startingPage>
        <prism:publicationDate>2005-02-21T00:00:00Z</prism:publicationDate>
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                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
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        <item rdf:about="http://www.nutritionandmetabolism.com/content/4/1/19">
        <title>Physiological models of body composition and human obesity</title>
        <description>Background:
The body mass index (BMI) is the standard parameter for predicting body fat fraction and for classifying degrees of obesity. Currently available regression equations between BMI and fat are based on 2 or 3 parameter empirical fits and have not been validated for highly obese subjects. We attempt to develop regression relations that are based on realistic models of body composition changes in obesity. These models, if valid, can then be extrapolated to the high fat fraction of the morbidly obese.
Methods:
The analysis was applied to 3 compartment (density and total body water) measurements of body fat. The data was collected at the New York Obesity Research Center, Body Composition Unit, as part of ongoing studies. A total of 1356 subjects were included, with a BMI range of 17 to 50 for males and 17 to 65 for females. The body composition model assumes that obese subjects can be represented by the sum of a standard lean reference subject plus an extra weight that has a constant adipose, bone and muscle fraction.
Results:
There is marked age and sex dependence in the relationship between BMI and fat fraction. There was no significant difference among Caucasians, Blacks and Hispanics while Asians had significantly greater fat fraction for the same BMI. A linear relationship between BMI and fat fraction provides a good description for men but overestimates the fat fraction in morbidly obese women for whom a non-linear regression should be used. New regression relations for predicting body fat just from experimental measurements of body density are described that are more accurate then those currently used. From the fits to the experimental BMI and density data, a quantitative description of the bone, adipose and muscle body composition of lean and obese subjects is derived.
Conclusion:
Physiologically realistic models of body composition provide both accurate regression relations and new insights about changes in body composition in obesity.</description>
        <link>http://www.nutritionandmetabolism.com/content/4/1/19</link>
                <dc:creator>David Levitt</dc:creator>
                <dc:creator>Steven Heymsfield</dc:creator>
                <dc:creator>Richard Pierson</dc:creator>
                <dc:creator>Sue Shapses</dc:creator>
                <dc:creator>John Kral</dc:creator>
                <dc:source>Nutrition &amp; Metabolism 2007, 4:19</dc:source>
        <dc:date>2007-09-20T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1743-7075-4-19</dc:identifier>
        <prism:publicationName>Nutrition &amp; Metabolism</prism:publicationName>
        <prism:issn>1743-7075</prism:issn>
        <prism:volume>4</prism:volume>
        <prism:startingPage>19</prism:startingPage>
        <prism:publicationDate>2007-09-20T00:00:00Z</prism:publicationDate>
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                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
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        <item rdf:about="http://www.nutritionandmetabolism.com/content/6/1/32">
        <title>Pre- and post- prandial appetite hormone levels in normal weight and severely obese women</title>
        <description>Background:
Appetite is affected by many factors including the hormones leptin, ghrelin and adiponectin. Ghrelin stimulates hunger, leptin promotes satiety, and adiponectin affects insulin response. This study was designed to test whether the pre- and postprandial response of key appetite hormones differs in normal weight (NW) and severely obese (SO) women.
Methods:
Twenty three women ages 25&#8211;50 were recruited for this study including 10 NW (BMI = 23.1 &#177; 1.3 kg/m2) and 13 SO (BMI = 44.5 &#177; 7.1 kg/m2). The study was conducted in a hospital-based clinical research centre. Following a 12-hour fast, participants had a baseline blood draw, consumed a moderately high carbohydrate meal (60% carbohydrate, 20% protein, 20% fat) based on body weight. Postprandially, participants had six blood samples drawn at 0, 15, 30, 60, 90, and 120 minutes. Primary measures included pre- and post-prandial total ghrelin, leptin, adiponectin and insulin. A repeated measures general linear model was used to evaluate the hormone changes by group and time (significance p &#8804; 0.05).
Results:
There were significant differences between the NW and the SO for all hormones in the preprandial fasting state. The postprandial responses between the SO versus NW revealed: higher leptin (p &lt; 0.0001), lower adiponectin (p = 0.04), trend for lower ghrelin (p = 0.06) and insulin was not different (p = 0.26). Postprandial responses over time between the SO versus NW: higher leptin (p &lt; 0.001), lower ghrelin and adiponectin (p = 0.004, p = 0.015, respectively), and trend for higher insulin (p = 0.06).
Conclusion:
This study indicates that significant differences in both pre- and selected post- prandial levels of leptin, ghrelin, adiponectin and insulin exist between NW and SO women. Improving our understanding of the biochemical mechanisms accounting for these differences in appetite hormones among individuals with varying body size and adiposity should aid in the development of future therapies to prevent and treat obesity.</description>
        <link>http://www.nutritionandmetabolism.com/content/6/1/32</link>
                <dc:creator>Joseph Carlson</dc:creator>
                <dc:creator>Amy Turpin</dc:creator>
                <dc:creator>Gail Wiebke</dc:creator>
                <dc:creator>Steven Hunt</dc:creator>
                <dc:creator>Ted Adams</dc:creator>
                <dc:source>Nutrition &amp; Metabolism 2009, 6:32</dc:source>
        <dc:date>2009-08-11T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1743-7075-6-32</dc:identifier>
        <prism:publicationName>Nutrition &amp; Metabolism</prism:publicationName>
        <prism:issn>1743-7075</prism:issn>
        <prism:volume>6</prism:volume>
        <prism:startingPage>32</prism:startingPage>
        <prism:publicationDate>2009-08-11T00:00:00Z</prism:publicationDate>
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        <item rdf:about="http://www.nutritionandmetabolism.com/content/1/1/2">
        <title>Ketogenic diets and physical performance</title>
        <description>Impaired physical performance is a common but not obligate result of a low carbohydrate diet. Lessons from traditional Inuit culture indicate that time for adaptation, optimized sodium and potassium nutriture, and constraint of protein to 15&#8211;25 % of daily energy expenditure allow unimpaired endurance performance despite nutritional ketosis.</description>
        <link>http://www.nutritionandmetabolism.com/content/1/1/2</link>
                <dc:creator>Stephen Phinney</dc:creator>
                <dc:source>Nutrition &amp; Metabolism 2004, 1:2</dc:source>
        <dc:date>2004-08-17T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1743-7075-1-2</dc:identifier>
        <prism:publicationName>Nutrition &amp; Metabolism</prism:publicationName>
        <prism:issn>1743-7075</prism:issn>
        <prism:volume>1</prism:volume>
        <prism:startingPage>2</prism:startingPage>
        <prism:publicationDate>2004-08-17T00:00:00Z</prism:publicationDate>
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        <item rdf:about="http://www.nutritionandmetabolism.com/content/2/1/25">
        <title>Dietary protein intake and renal function</title>
        <description>Recent trends in weight loss diets have led to a substantial increase in protein intake by individuals. As a result, the safety of habitually consuming dietary protein in excess of recommended intakes has been questioned. In particular, there is concern that high protein intake may promote renal damage by chronically increasing glomerular pressure and hyperfiltration. There is, however, a serious question as to whether there is significant evidence to support this relationship in healthy individuals. In fact, some studies suggest that hyperfiltration, the purported mechanism for renal damage, is a normal adaptative mechanism that occurs in response to several physiological conditions. This paper reviews the available evidence that increased dietary protein intake is a health concern in terms of the potential to initiate or promote renal disease. While protein restriction may be appropriate for treatment of existing kidney disease, we find no significant evidence for a detrimental effect of high protein intakes on kidney function in healthy persons after centuries of a high protein Western diet.</description>
        <link>http://www.nutritionandmetabolism.com/content/2/1/25</link>
                <dc:creator>William Martin</dc:creator>
                <dc:creator>Lawrence Armstrong</dc:creator>
                <dc:creator>Nancy Rodriguez</dc:creator>
                <dc:source>Nutrition &amp; Metabolism 2005, 2:25</dc:source>
        <dc:date>2005-09-20T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1743-7075-2-25</dc:identifier>
        <prism:publicationName>Nutrition &amp; Metabolism</prism:publicationName>
        <prism:issn>1743-7075</prism:issn>
        <prism:volume>2</prism:volume>
        <prism:startingPage>25</prism:startingPage>
        <prism:publicationDate>2005-09-20T00:00:00Z</prism:publicationDate>
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                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
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        <item rdf:about="http://www.nutritionandmetabolism.com/content/6/1/44">
        <title>Impact on allergic immune response after treatment with retinoic acid</title>
        <description>Background:
Vitamin A may have some influence on the immune system, but the role in allergy modulation is still unclear.ObjectiveTo clarify whether high levels of retinoic acid (RA) affects allergic response in vivo, we used a murine experimental model of airway allergic disease.
Methods:
Ovalbumin (OVA)-immunization/OVA-challenge (OVA/OVA) and house dust mite (HDM)-immunization/HDM-challenge (HDM/HDM) experimental murine models of allergic airway disease, using C57Bl.10/Q groups of mice (n = 10) treated subcutaneously with different concentrations of all-trans RA (0, 50, 500 and 2,500 ug) every 2-days were used to assess the allergic immune response.
Results:
Levels of total and specific-IgE in sera were increased in all groups of RA treated OVA/OVA and HDM/HDM mice. Percentage and total amount of recruited eosinophil in airways by bronchoalveolar lavage fluid (BALF) were significantly enhanced in groups treated with 50, 500 and 2,500 ug of RA compared to non-treated mice. However, the group of mice treated with 2,500 ug had less eosinophil recruitment than the other two groups (50 and 500 ug). In parallel, levels of IL-5 and total IgE in BALF were also significantly diminished in the group treated with 2,500 ug compared to the other 2 groups (50 and 500 ug). Finally, total lung resistance was decreased in group treated with 2,500 ug compared to non-treated mice.
Conclusion:
Our results suggest that retinoic acid directly enhances allergic response in vivo, but in higher doses may produce of immune suppression.</description>
        <link>http://www.nutritionandmetabolism.com/content/6/1/44</link>
                <dc:creator>Victor Matheu</dc:creator>
                <dc:creator>Karin Berggard</dc:creator>
                <dc:creator>Yvelise Barrios</dc:creator>
                <dc:creator>Ysamar Barrios</dc:creator>
                <dc:creator>Maria Rosa Arnau</dc:creator>
                <dc:creator>Jose Zubeldia</dc:creator>
                <dc:creator>Maria Baeza</dc:creator>
                <dc:creator>Ove Back</dc:creator>
                <dc:creator>Shohreh Issazadeh-Navikas</dc:creator>
                <dc:source>Nutrition &amp; Metabolism 2009, 6:44</dc:source>
        <dc:date>2009-10-23T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1743-7075-6-44</dc:identifier>
        <prism:publicationName>Nutrition &amp; Metabolism</prism:publicationName>
        <prism:issn>1743-7075</prism:issn>
        <prism:volume>6</prism:volume>
        <prism:startingPage>44</prism:startingPage>
        <prism:publicationDate>2009-10-23T00:00:00Z</prism:publicationDate>
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        <item rdf:about="http://www.nutritionandmetabolism.com/content/1/1/5">
        <title>Diet induced thermogenesis</title>
        <description>ObjectiveDaily energy expenditure consists of three components: basal metabolic rate, diet-induced thermogenesis and the energy cost of physical activity. Here, data on diet-induced thermogenesis are reviewed in relation to measuring conditions and characteristics of the diet.
Methods:
Measuring conditions include nutritional status of the subject, physical activity and duration of the observation. Diet characteristics are energy content and macronutrient composition.
Results:
Most studies measure diet-induced thermogenesis as the increase in energy expenditure above basal metabolic rate. Generally, the hierarchy in macronutrient oxidation in the postprandial state is reflected similarly in diet-induced thermogenesis, with the sequence alcohol, protein, carbohydrate, and fat. A mixed diet consumed at energy balance results in a diet induced energy expenditure of 5 to 15 % of daily energy expenditure. Values are higher at a relatively high protein and alcohol consumption and lower at a high fat consumption. Protein induced thermogenesis has an important effect on satiety.In conclusion, the main determinants of diet-induced thermogenesis are the energy content and the protein- and alcohol fraction of the diet. Protein plays a key role in body weight regulation through satiety related to diet-induced thermogenesis.</description>
        <link>http://www.nutritionandmetabolism.com/content/1/1/5</link>
                <dc:creator>Klaas Westerterp</dc:creator>
                <dc:source>Nutrition &amp; Metabolism 2004, 1:5</dc:source>
        <dc:date>2004-08-18T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1743-7075-1-5</dc:identifier>
        <prism:publicationName>Nutrition &amp; Metabolism</prism:publicationName>
        <prism:issn>1743-7075</prism:issn>
        <prism:volume>1</prism:volume>
        <prism:startingPage>5</prism:startingPage>
        <prism:publicationDate>2004-08-18T00:00:00Z</prism:publicationDate>
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        <item rdf:about="http://www.nutritionandmetabolism.com/content/6/1/38">
        <title>Protein hydrolysates in sports nutrition
</title>
        <description>It has been suggested that protein hydrolysates providing mainly di- and tripeptides are superior to intact (whole) proteins and free amino acids in terms of skeletal muscle protein anabolism. This review provides a critical examination of protein hydrolysate studies conducted in healthy humans with special reference to sports nutrition. The effects of protein hydrolysate ingestion on blood amino acid levels, muscle protein anabolism, body composition, exercise performance and muscle glycogen resynthesis are discussed.</description>
        <link>http://www.nutritionandmetabolism.com/content/6/1/38</link>
                <dc:creator>Anssi Manninen</dc:creator>
                <dc:source>Nutrition &amp; Metabolism 2009, 6:38</dc:source>
        <dc:date>2009-09-28T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1743-7075-6-38</dc:identifier>
        <prism:publicationName>Nutrition &amp; Metabolism</prism:publicationName>
        <prism:issn>1743-7075</prism:issn>
        <prism:volume>6</prism:volume>
        <prism:startingPage>38</prism:startingPage>
        <prism:publicationDate>2009-09-28T00:00:00Z</prism:publicationDate>
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        <item rdf:about="http://www.nutritionandmetabolism.com/content/5/1/9">
        <title>Dietary carbohydrate restriction in type 2 diabetes mellitus and metabolic syndrome: time for a critical appraisal</title>
        <description>Current nutritional approaches to metabolic syndrome and type 2 diabetes generally rely on reductions in dietary fat. The success of such approaches has been limited and therapy more generally relies on pharmacology. The argument is made that a re-evaluation of the role of carbohydrate restriction, the historical and intuitive approach to the problem, may provide an alternative and possibly superior dietary strategy. The rationale is that carbohydrate restriction improves glycemic control and reduces insulin fluctuations which are primary targets. Experiments are summarized showing that carbohydrate-restricted diets are at least as effective for weight loss as low-fat diets and that substitution of fat for carbohydrate is generally beneficial for risk of cardiovascular disease. These beneficial effects of carbohydrate restriction do not require weight loss. Finally, the point is reiterated that carbohydrate restriction improves all of the features of metabolic syndrome.</description>
        <link>http://www.nutritionandmetabolism.com/content/5/1/9</link>
                <dc:creator>Anthony Accurso</dc:creator>
                <dc:creator>Richard Bernstein</dc:creator>
                <dc:creator>Annika Dahlqvist</dc:creator>
                <dc:creator>Boris Draznin</dc:creator>
                <dc:creator>Richard Feinman</dc:creator>
                <dc:creator>Eugene Fine</dc:creator>
                <dc:creator>Amy Gleed</dc:creator>
                <dc:creator>David Jacobs</dc:creator>
                <dc:creator>Gabriel Larson</dc:creator>
                <dc:creator>Robert Lustig</dc:creator>
                <dc:creator>Anssi Manninen</dc:creator>
                <dc:creator>Samy McFarlane</dc:creator>
                <dc:creator>Katharine Morrison</dc:creator>
                <dc:creator>Jorgen Nielsen</dc:creator>
                <dc:creator>Uffe Ravnskov</dc:creator>
                <dc:creator>Karl Roth</dc:creator>
                <dc:creator>Ricardo Silvestre</dc:creator>
                <dc:creator>James Sowers</dc:creator>
                <dc:creator>Ralph Sundberg</dc:creator>
                <dc:creator>Jeff Volek</dc:creator>
                <dc:creator>Eric Westman</dc:creator>
                <dc:creator>Richard Wood</dc:creator>
                <dc:creator>Jay Wortman</dc:creator>
                <dc:creator>Mary Vernon</dc:creator>
                <dc:source>Nutrition &amp; Metabolism 2008, 5:9</dc:source>
        <dc:date>2008-04-08T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1743-7075-5-9</dc:identifier>
        <prism:publicationName>Nutrition &amp; Metabolism</prism:publicationName>
        <prism:issn>1743-7075</prism:issn>
        <prism:volume>5</prism:volume>
        <prism:startingPage>9</prism:startingPage>
        <prism:publicationDate>2008-04-08T00:00:00Z</prism:publicationDate>
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        <item rdf:about="http://www.nutritionandmetabolism.com/content/5/1/1">
        <title>Effects of beta-hydroxy-beta-methylbutyrate (HMB) on exercise performance and body composition across varying levels of age, sex, and training experience: A review</title>
        <description>The leucine metabolite beta-hydroxy-beta-methylbutyrate (HMB) has been extensively used as an ergogenic aid; particularly among bodybuilders and strength/power athletes, who use it to promote exercise performance and skeletal muscle hypertrophy. While numerous studies have supported the efficacy of HMB in exercise and clinical conditions, there have been a number of conflicting results. Therefore, the first purpose of this paper will be to provide an in depth and objective analysis of HMB research. Special care is taken to present critical details of each study in an attempt to both examine the effectiveness of HMB as well as explain possible reasons for conflicting results seen in the literature. Within this analysis, moderator variables such as age, training experience, various states of muscle catabolism, and optimal dosages of HMB are discussed. The validity of dependent measurements, clustering of data, and a conflict of interest bias will also be analyzed. A second purpose of this paper is to provide a comprehensive discussion on possible mechanisms, which HMB may operate through. Currently, the most readily discussed mechanism has been attributed to HMB as a precursor to the rate limiting enzyme to cholesterol synthesis HMG-coenzyme A reductase. However, an increase in research has been directed towards possible proteolytic pathways HMB may operate through. Evidence from cachectic cancer studies suggests that HMB may inhibit the ubiquitin-proteasome proteolytic pathway responsible for the specific degradation of intracellular proteins. HMB may also directly stimulate protein synthesis, through an mTOR dependent mechanism. Finally, special care has been taken to provide future research implications.</description>
        <link>http://www.nutritionandmetabolism.com/content/5/1/1</link>
                <dc:creator>Gabriel Wilson</dc:creator>
                <dc:creator>Jacob Wilson</dc:creator>
                <dc:creator>Anssi Manninen</dc:creator>
                <dc:source>Nutrition &amp; Metabolism 2008, 5:1</dc:source>
        <dc:date>2008-01-03T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1743-7075-5-1</dc:identifier>
        <prism:publicationName>Nutrition &amp; Metabolism</prism:publicationName>
        <prism:issn>1743-7075</prism:issn>
        <prism:volume>5</prism:volume>
        <prism:startingPage>1</prism:startingPage>
        <prism:publicationDate>2008-01-03T00:00:00Z</prism:publicationDate>
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