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United States Department of Agriculture

Agricultural Research Service

Research Project: THE OBESITY AND ENERGY REGULATION PROGRAM
2013 Annual Report


1a.Objectives (from AD-416):
LAB: ENERGY METABOLISM 1. Test the feasibility and effectiveness of a long-term caloric restriction intervention program for decreasing body fatness, risk factors for chronic disease, and retarding biological aging. 2. Examine the causes of error in the accuracy of reporting eneergy, macronutrient, and fiber intake from foods. 3. Assess whether a worksite intervention will result in a significant and sustainable reduction in the prevalence of overweight and obese employees and disease risk factors compared to a control group receiving no intervention. 4. Examine the contributions of heritable and environmental factors to eating behaviors and dietary patterns associated with weight gain and body fatness. 5. Assess whether an intervention implemented during pregnancy will result in a significant and sustainable reduction in the prevalence of overweight and obese prior to and subsequent to delivery compared to a control group receiving no intervention.

LAB: OBESITY & METABOLISM 1. Define the role and mechanisms of adipocyte death in obesity-associated inflammation and metabolic disorders using genetic and nutritional models of adipocyte growth and death. 2. Determine the role of the macrophage in modulating adipocyte death and associated adipose tissue inflammation using genetically altered animal models. 3. Determine the mechanisms by which alterations in Lipid Droplet (LD) proteins modulate lipolysis and risk of developing metabolic disorders. 4. To determine the role of acyl CoA-synthetase 5 in systemic metabolism.

LAB: BODY COMPOSITION 1. Develop and validate mathematical models for carbon kinetics that simulate energy intake, energy regulation, and their relationship to body composition and fat stores. 2. Develop and validate practical field tools for the assessment and management of sarcopenia, dehydration, zinc status and frailty in institutionalized and community living elderly.


1b.Approach (from AD-416):
LAB: ENERGY METABOLISM The etiology and effective prevention of adult-onset weight gain remains poorly understood. In addition, there is little information on the effects of calorie restriction designed to reduce body weight on biological parameters related to aging. These questions will be addressed in a series of 4 studies designed to contribute to understanding the process of dietary change and effective methods for long-term weight control and their effects on long-term health. These will include a randomized controlled trial of human caloric restriction (CALERIE) examining the metabolic effects of a 25% reduction in energy intake for 2 years, a trial of low and high fat diets on weight change in relation to insulin secretion status, a genetic analysis of the heritability of body fat and related parameters in identical twins reared together or reared apart, and an intervention to examine the feasibility of changing dietary Disinhibition in free living individuals and the impact of such a change in body weight.

LAB: OBESITY AND METABOLISM The role of adipocyte death in obesity will be investigated using a combination of transgenic and knockout mouse models and bone-marrow transplantation in mice fed different diets to understand the influence of obesity. In vivo and in vitro studies will investigate glucose and insulin homeostasis complemented by histological, immunohistological, electron microscopic, gene expression, FACS analysis, adipocyte lipolysis and Akt signaling studies. For studies investigating lipid droplet proteins, we will use both adenovirus expression vectors and possibly transgenic animals to determine how alterations in expression and intracellular signaling regulate protein expression, metabolic pathways, and lipolysis in cultured cells and animals. Depending upon which tissue is studied, we will examine lipolysis and protein expression, alterations in cytokine, lipid accumulation, signal transduction pathways, and oxidative gene expression.

LAB: BODY COMPOSITION Simple monitoring of isotope clearance in breath CO2 can provide quantitative information on average energy intake. Our approach includes the use of a single stable isotope administration (C-13 palmitic acid) and monitoring its disappearance in breath CO2. We will use both mathematical modeling and clinical validation of this approach. The development and validation of new portable body composition tools will include the comparison of a hand-held caliper X-ray absorptiometer against tissue analysis by computerized tomography and the full evaluation of a non-destructive method for rapid analysis of extracellular water by X ray fluorescence analysis for stable bromine. For free-living elderly, we expect that portable body composition tools will provide an additional way to help monitor their medical, functional, and nutritional status so that they can extend safely their independent living.


3.Progress Report:
This progress report includes the work of three subbordinate projects at the HNRCA funded through a Specific Cooperative Agreement with TUFTS UNIVERSITY. For further information and progress reports, see 1950-51000-071-01S (Energy regulation during the adult lifespan)and 1950-51000-071-02S (Regulation of adipocyte and adipose tissue metabolism in obesity related inflammation and metabolic disorders) and 1950-51000-071-03S (Methodolgy development: energy intake and body composition assessment in the elderly).


4.Accomplishments
1. ENERGY METABOLISM LAB: Restaurants that do not provide calorie listings are an important contributor to obesity epidemic. Restaurant foods now provide 33% of daily energy intake of typical Americans, but most restaurants do not yet provide information on the energy content of their products. ARS funded researchers at JMUSDA-HNRCA at Tufts University at Boston, Massachusetts completed a study that was published in JAMA Internal Medicine on the energy content of foods from restaurants that do not provide calorie listings. The study found that restaurants that do not list nutrition information provide amounts of energy that are far in excess of human dietary energy requirements, and also more than the most popular foods purchased in fast food restaurants. These results suggest that restaurants not providing nutrition information are an important contributor to the obesity epidemic and more widespread reporting of portion sizes and nutritional information is needed to help individuals self-monitor their food intake to lose weight or prevent weight gain.

2. ENERGY METABOLISM LAB: Successful weight loss in a worksite intervention. Worksite weight loss interventions have generally been ineffective. ARS funded researchers at JMUSDA-HNRCA at Tufts University at Boston, Massachusetts completed a highly successful weight loss intervention in worksites that resulted in weight loss three times greater than typical in previous worksite studies. The intervention is unique in implementing a lifestyle intervention program with specific recommendations for a healthy low glycemic load diet. The results were sustained over 1 year of testing and a low rate of drop out was observed. These findings suggest that worksites may be very suitable locations for weight management programs to help reduce the national obesity epidemic.

3. ENERGY METABOLISM LAB: Pregnancy: an important time for dietary interventions for lifelong health. Identifying periods in the lifecycle that are particularly important transitions in nutritional health may help identify intervention points to reduce aging-related chronic disease. A review of the effects of excess weight gain in pregnancy was conducted by ARS funded researchers at JMUSDA-HNRCA at Tufts University at Boston, Massachusetts, examining the effects on maternal health during pregnancy, long-term maternal health and infant factors that may predict lifelong health of the offspring. The review found that excess weight gain during pregnancy is associated with numerous adverse long-term factors and is thus a key intervention point.

4. OBESITY METABOLISM LAB: Loss of expression of the protein, perilipin 2 protects against diet-induced obesity. At the present time we do not fully understand the roles of various proteins in regulating obesity that occurs with high caloric diets. ARS funded researchers at JMUSDA-HNRCA at Tufts University at Boston, Massachusetts and colleagues in Denver, Colorado demonstrated that mice in which the protein, perilipin 2, is no longer expressed when provided with a high caloric diet eat significantly less food and are protected against the development of diet-induced obesity. These studies point to the expression of perilipin 2 as an important protein involved in the regulation of food intake that promotes obesity. By defining the actions of perilipin 2 on food intake we will be able to develop new dietary and therapeutic strategies to protect against diet-induced obesity and its complications.

5. BODY COMPOSITION LAB: Composition monitoring in the field. NaBr dilution is an established method for measuring extracellular water, the fluid that is not contained in cells. Expansion of this water compartment indicates loss of muscle, frailty or acute disease. The current established analytical method is complicated, expensive and requires extensive sample preparation. ARS-funded researchers at JMUSDA-HNRCA at Tufts University, at Boston, Massachusetts developed a new, simple and safe method for rapid analysis of bromide in any body fluid, including blood plasma, serum, urine, or saliva which requires that the subject drinks a small amount of NaBr solution followed (3 hours later) by the collection and analysis of a blood or urine specimen for the presence and amount of bromide. A small specimen is analyzed in its original plastic vial by X-ray irradiation emitted by a microscopic radioactive source using X-ray fluorescence (XRF) and modern photon detection techniques. The device is inexpensive, portable, requires minimal power and is capable of high precision measurements (1%). None of the liquid specimen is consumed or altered during this analysis which allows the vial that contains the sample to remain sealed for the whole process. With the advent of this methodology, it is possible to easily monitor nutrition status of the elderly and help identify nutritional and health deficiencies before they develop into serious conditions.


Review Publications
Carpenter, A., Hochstadt, J., Huddleston, J.Y., Kustanovich, V., Reynolds, A.A., Roberts, S.B., Sen, S. 2012. Nutrition, weight gain, and eating behavior in pregnancy: a review of experimental evidence for long-term effects on the risk of obesity in offspring. Physiology and Behavior. 107(1):138-145.

Elder, S.J., Neale, M.C., Fuss, P.J., Lichtenstein, A.H., Greenberg, A.S., Mccrory, M.A., Bouchard, T.J., Saltzman, E., Susan, R.B. 2012. Genetic and environmental influences on eating behavior - a study of twin pairs reared apart or reared together. Open Nutrition Journal. 6: 59-70.

Ueno, M., Shen, W., Patel, S., Greenberg, A.S., Azhar, S., Kraemer, F.B. 2013. Fat-specific protein 27 modulates nuclear factor of activated T cells 5 and the cellular response to stress. Journal of Lipid Research. 54(3):734-743.

Grahn, T., Zhang, Y., Lee, M., Sommer, A.G., Mostoslavsky, G., Fried, S.K., Greenberg, A.S., Puri, V. 2013. FSP27 and PLIN1 interaction promotes the formation of large lipid droplets in human adipocytes. Biochemical and Biophysical Research Communications. 432(2):296-301.

Vieira-Potter, V.J., Strissel, K.J., Xie, C., Chang, E., Bennett, G., Defuria, J., Obin, M.S., Greenberg, A.S. 2012. Adipose tissue inflammation and reduced insulin sensitivity in ovariectomized mice occurs in the absence of increased adiposity. Endocrinology. 153(9):4266-4277.

Shen, J., Obin, M.S., Zhao, L. 2013. The gut microbiota, obesity and insulin resistance. Molecular Aspects of Medicine. 34(1):39-58.

Ribeiro, S.M., Kehayias, J., Silva, R., Tirapegui, J. 2012. Body composition of active persons with spinal cord injury and with poliomyelitis. Revista Acta Fisiátrica. 18(4):206-210.

Prelack, K., Dwyer, J., Zeigler, P., Kehayias, J. 2012. Bone Mineral Density in Elite Adolescent female figure skaters. Journal of the International Society of Sports Nutrition 2012 (JISSN). DOI: 10.1186/1550-2783-9-57.

Bosy-Westphal, A., Schautz, B., Later, W., Kehayias, J.J., Gallagher, D., Muller, M.J. 2013. What makes a BIA equation unique? Validity of 8-electrode multifrequency-BIA to estimate body compostion in a healthy adult population. European Journal of Clinical Nutrition. 67(S1):S14-S21.

Vernier, S., Chiu, A., Schober, J., Weber, T., Nguyen, P., Luer, M., Mcpherson, T., Wanda, P.E., Marshall, C.A., Rohatgi, N., Mcdaniel, M., Greenberg, A., Kwon, G. 2012. Beta-cell metabolic alterations under chronic nutrient overload in rat and human islets. Islets. 4(6):379-392.

Karl, J.P., Saltzman, E. 2013. The role of whole grains in body weight regulation. Advances in Nutrition. 3(5):697-707.

Mccrory, M., Burke, A., Roberts, S. 2012. Dietary(sensory)variety and energy balance. Physiology and Behavior. 107(4):576-583.

Salinardi, T.C., Batra, P., Roberts, S.B., Urban, L.E., Robinson, L.M., Pittas, A.G., Lichtenstein, A.H., Deckersbach, T., Saltzman, E., Das, S. 2013. A lifestyle intervention reduces body weight and improves cardiometabolic risk factors in worksites. American Journal of Clinical Nutrition. DOI: 10.3945/ajcn.112.046995.

Batra, P., Das, S., Salinardi, T.C., Robinson, L.M., Dallal, G.E., Saltzman, E., Scott, T., Pittas, A.G., Roberts, S.B. 2013. Relationship of cravings with weight loss and hunger: results from a 6 month worksite weight loss intervention. Appetite. 69:1-7.

Stewart, T.M., Bhapkar, M., Das, S., Galan, K., Martin, C.K., Mcadams, L., Pieper, C., Redman, L.M., Roberts, S.B., Stein, R.I. 2013. Comprehensive assessment of long-term effects of reducing intake of energy phase 2 (CALERIE Phase 2) screening and recruitment: Methods and results. Contemporary Clinical Trials. 34(1):10-20.

Denis, G.V., Obin, M.S. 2013. Metabolically healthy obesity: origins and implications. Molecular Aspects of Medicine . 34(1):59-70.

Urban, L.E., Lichtenstein, A.H., Gary, C.E., Fierstein, J.L., Equi, A., Kussmaul, C., Dallal, G.E., Roberts, S.B. 2013. The energy content of restaurant foods without stated calorie information. Archives of Internal Medicine. 173(14):1292-1299.

Batra, P., Das, S., Salinardi, T.C., Robinson, L.M., Dallal, G.E., Saltzman, E., Scott, T., Pittas, A.G., Roberts, S.B. 2013. Eating behaviors as predictors of weight loss in a 6 month worksite weight loss intervention. Obesity. DOI: 10.1002/oby.20404.

Mcmanaman, J.L., Bales, E.S., Orlicky, D.J., Jackman, M., Maclean, P.S., Cain, S., Crunk, A.E., Mansur, A., Graham, C.E., Bowman, T.A., Greenberg, A.S. 2013. Perilipin-2 null mice are protected against diet-induced obesity, adipose inflammation, and fatty liver disease. Journal of Lipid Research. 54(5):1346-1359.

Grove, K.L., Fried, S.K., Greenberg, A.S., Xiao, X.Q., Clegg, D.J. 2010. A mirccroarray analysis of sexual dimorphism of adipose tissues in high-fat-diet-induced obese mice. International Journal of Obesity. 34(6):989-1000.

Last Modified: 10/22/2014
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