Symposium: Ghrelin: Its Role in Energy Balance Obesity and the Neuroendocrine Control of Energy Homeostasis: The Role of Spontaneous Locomotor Activity1 Tamara R. Castañeda,* Hella Jürgens,† Petra Wiedmer,† Paul Pfluger,* Sabrina Diano,** Tamas L. Horvath,** Mads Tang-Christensen,‡ and Matthias H. Tschöp*2 ABSTRACT Obesity represents one of the most urgent global health threats as well as one of the leading causes of death throughout industrialized nations. Efficacious and safe therapies remain at large. Attempts to decrease fat mass via pharmacological reduction of energy intake have had limited potency or intolerable side effects. Increasingly widespread sedentary lifestyle is often cited as a major contributor to the increasing prevalence of obesity. Moreover, low levels of spontaneous physical activity (SPA) are a major predictor of fat mass accumulation during overfeeding in humans, pointing to a substantial role for SPA in the control of energy balance. Despite this, very little is known about the molecular mechanisms by which SPA is regulated. The overview will attempt to summarize available information on neuroendocrine factors regulating SPA. J. Nutr. 135: 1314 –1319, 2005. KEY WORDS: ● ghrelin ● physical activity ● energy expenditure ● AGRP ● NPY ● CART ● leptin risk for cancer (8). As a result, the future of the health of the U.S. population depends critically on identifying and providing the best treatment and prevention strategies for obesity in the years ahead (9). To date, however, few treatments provide safe and efficacious weight loss that can be sustained over long periods of time (10). Obesity: a serious nationwide health problem The United States is the epicenter of an ongoing obesity pandemic (1,2). Rates of obesity and its associated comorbidities are rising steadily in both adults and children in the majority of the developed and developing world (3–5). This makes obesity an escalating public health crisis that requires scientific and public health attention (6). The obesity rates are rising despite increased public awareness and increasing attention from governments highlighting the need for effective therapeutic strategies. Currently, 61% of the U.S. population is overweight or obese and therefore at increased risk for a number of diseases that are associated with increased body fat (1,7). Indeed, the obesity epidemic has already resulted in dramatic increases in type-2 diabetes, particularly among younger populations (5). Increased body fat also increases the Low physical activity level as one cause for the increasing prevalence of obesity Body fat fluctuates with the difference between energy intake and energy expenditure over time (11,12). Thus, understanding the regulation of energy balance can be partitioned into understanding the factors that regulate both energy intake and energy expenditure (13–15). Whereas the neuroendocrine control of energy intake has received intense scrutiny over the past decade, much less attention has been paid to the control of energy expenditure. Nevertheless, a compelling case can be made that obesity is often associated with lowered rates of energy expenditure (16). A large body of published evidence has documented, for example, a strong link between time spent watching television or working at a computer with obesity in both children and adults (17–21). Unfortunately, despite the apparent importance of energy expenditure for body weight regulation, our understanding of the components that regulate energy expenditure is less developed (22) (Fig. 1). 1 Presented as part of the symposium “Ghrelin: Its Role in Energy Balance” given at the 2004 Experimental Biology meeting on April 19, 2004, Washington, DC. The symposium was sponsored by the American Society for Nutritional Sciences and in part by Abbott Laboratories, Linco Research, Inc., and Merck Research Laboratories. The proceedings are published as a supplement to The Journal of Nutrition. This supplement is the responsibility of the Guest Editors to whom the Editor of The Journal of Nutrition has delegated supervision of both technical conformity to the published regulations of The Journal of Nutrition and general oversight of the scientific merit of each article. The opinions expressed in this publication are those of the authors and are not attributable to the sponsors or the publisher, editor, or editorial board of The Journal of Nutrition. The views expressed herein are those of the authors and do not necessarily reflect those of Abbott Laboratories, Linco Research, Inc., and Merck Research Laboratories. The Guest Editors for the symposium publication are Gary E. Truett, Department of Nutrition, Knoxville, TN, and Elizabeth J. Parks, University of Minnesota, St. Paul, MN. 2 To whom correspondence should be addressed. E-mail: [email protected]. Spontaneous physical activity-induced energy expenditure as an individual determinant of body fat mass Humans show considerable interindividual variation in susceptibility to weight gain in response to overeating. The 0022-3166/05 $8.00 © 2005 American Society for Nutritional Sciences. 1314 Downloaded from jn.nutrition.org at UNIVERSITY OF TOLEDO LIBRARIES on October 16, 2008 *Obesity Research Center, Department of Psychiatry, University of Cincinnati, Cincinnati, OH; †Department of Pharmacology, German Institute of Human Nutrition, Potsdam Rehbruecke, Germany; **Department of Neurobiology and Department of Ob/Gyn, Yale Medical School, New Haven, CT; and ‡Rheoscience, Copenhagen, Denmark NEUROENDOCRINE CONTROL OF SPONTANEOUS LOCOMOTOR ACTIVITY physiological basis of this variation was recently investigated (23) by measuring changes in energy storage and expenditure in nonobese volunteers who were fed in excess of weightmaintenance requirements. Not surprisingly, as energy intake exceeds energy expenditure and body fat accumulates, the system responds by increasing energy expenditure. That is, the system compensates through changes of energy expenditure when energy intake is no longer under voluntary control. Importantly, two-thirds of the increase in total daily energy expenditure in this situation was attributable to increased spontaneous physical activity (SPA).3 In fact, changes in SPA directly predicted resistance to fat gain with overfeeding on a hypercaloric diet. These results point to SPA as a labile component of total energy expenditure that is a key tool of the homeostatic system that maintains relatively constant body fat over time (23). Moreover, these results indicate that differences in the ability to recruit SPA in the face of positive energy balance are not only predictive but also critical to the large differences among individuals in their response to positive energy balance and the maintenance of body fat (24,25). Particularly relevant to human obesity is the phenomenon of nonconscious, nonexercise activity thermogenesis (NEAT), a variable that relates to SPA in rodents. NEAT is defined as the energy expended for everything we do that is not sleeping, eating, or sports-like exercise (22). It ranges from the energy expended walking to work, typing, performing yard work, undertaking agricultural tasks, and fidgeting. Even trivial phys3 Abbreviations used: AGRP, agouti related protein; ARC, arcuate nucleus; BMR, basal metabolic rate; CART, cocaine amphetamine regulated transcript; GHS-R1a, growth hormone secretagogue receptor 1a; MCH, melanin concentrating hormone; NEAT, non-exercise activity thermogenesis; NPY, neuropeptide Y; PVN, paraventricular nucleus of the hypothalamus; SPA, spontaneous physical activity; TEF, thermic effect of food; VMH, ventromedial hypothalamus. ical activities can increase metabolic rate substantially and it is the cumulative impact of a multitude of such exothermic actions that culminate in an individual’s daily NEAT (25). It is, therefore, not surprising that NEAT is used to explain the majority of an individual’s nonresting energy needs. Epidemiological studies highlight the importance of culture in promoting and/or quashing NEAT (26). Agricultural and manual workers have high NEAT, whereas wealth and industrialization appear to decrease NEAT (27,28). Physiological studies demonstrate that NEAT fluctuates with changes in energy balance; specifically, NEAT increases with overfeeding and decreases with underfeeding (29). Thus, NEAT could be a critical component in how we maintain our body weight and/or develop obesity or lose weight (24). When humans overeat, activation of SPA can dissipate excess energy and help preserve leanness, and failure to activate SPA may result in susceptibility to gain fat (22,24). Although the lack of sufficient physical activity has clearly been recognized as one of the major correlates for the rapidly increasing prevalence of obesity, countermeasures are mostly limited to educational recommendations. Although most obese individuals are well informed about such recommendations, the combination of genetic predispositions with the environmental challenges of abundant high-energy food, tempting sedentary lifestyles, and increasingly stressful and time-consuming professional occupation often conspire to make a sufficient and chronic increase in physical activity impossible (30 –32). Although physical activity is the most variable and easily altered component of total energy expenditure, conscious efforts to increase physical activity must be considered unsuccessful on an epidemic level, even given the strong desire to lose weight and the accompanying and consequent high level of suffering in most obese individuals (3,33). An efficient anti-obesity drug is needed, and a pharmacological increase of SPA may be one option that should be investigated as one component of a future drug treatment strategy for obesity. The WHO, NIH, and the Surgeon General of the United States have all stated that increasing physical activity is a priority for obesity prevention and treatment. The WHO specifically recommends strategies that augment nonexercise activity and thereby increase energy expenditure by 834 kJ/d (200 kcal/d). For the average obese subject, 834 kJ/d is the equivalent to fidgeting-like activity of 2.5 h/d or a strollingequivalent activity (1.6 –3.2 km/h) of 1 h/d (34). Mechanisms regulating SPA: lessons from rodent models Gaining a better understanding of the biological determinants involved in the regulation of SPA is essential because, as outlined above, reduced energy expenditure (NEAT) associated with decreased SPA is thought to be a major underlying factor in the increasing prevalence of obesity. To facilitate interpretation in humans, it is helpful to consider evidence from interventional and less descriptive studies in animal models. In rodent models, energy intake is frequently not the major determinant of body fat mass. A better understanding of the biological determinants involved in the regulation of SPA from experiments in animal models will have important and beneficial implications for the development of strategies for the prevention of weight gain leading to obesity and subsequent morbidity and mortality in the human population. In addition to its favorable effects on energy balance and fat mass, increased SPA might also have a direct positive influence on glucose metabolism (35,36). To understand the molecular mechanisms regulating SPA, Downloaded from jn.nutrition.org at UNIVERSITY OF TOLEDO LIBRARIES on October 16, 2008 FIGURE 1 Energy expenditure can be partitioned into 3 basic categories: BMR, the thermic effect of food, and SPA. These categories can be assessed with the help of, i.e., an indirect calorimeter. Because caged laboratory rodents do not exercise voluntarily in the way that humans do, SPA in rodents is typically defined as all physical activity occurring within a single-housed cage situation that is above BMR and the TEF. Defined this way, SPA is independent of its specific character (running, grooming, climbing, fidgeting, feeding, sniffing, rearing, drinking, etc.). A substantial change in ongoing SPA will therefore be reflected as a substantial change in energy expenditure as measured by indirect calorimetry (22,37,40). 1315 1316 SYMPOSIUM Neuroendocrine regulation of energy balance Energy balance is achieved when energy intake (ingestion and absorption of calories) equals energy output (energy expenditure, thermogenesis). Based on more than half a century of research on the regulation of food intake and energy expenditure in rodents and humans, but most importantly triggered by the discovery of leptin in 1994, the complex current model for the neuroendocrine regulation of energy balance has emerged. Based on this model, afferent signals continuously inform central nervous circuits about acute and chronic changes in energy homeostasis, which in turn integrate this information and respond with efferent signals to immediately initiate the respective adaptive changes and regain energy balance (11,13–15,47–57) (Fig. 2). Over the past 3 years, an important new aspect has been added to this view by the discovery of the peptide hormone, ghrelin, which is mainly derived from the stomach, but which is also expressed in the pancreas, duodenum, and hypothalamus (58). Ghrelin administration stimulates food intake and increases body fat mass (59). The only identified ghrelinresponsive receptor, the growth hormone secretagogue receptor (GHS-R1a) (60), is localized in specific neurons of the hypothalamic arcuate nucleus, neurons which coexpress the orexigenic neuropeptide Y (NPY) and agouti-related protein (AGRP) (61,62). Circulating plasma concentrations, as well as gastric mRNA levels of ghrelin, increase with energy restriction or fasting (59) and decrease immediately following food intake in both rodents and humans (59,63,64). Based on these findings, ghrelin has been proposed to represent the only peripheral orexigenic agent and to finally prove the disputed existence of a meal initiation factor (65). Although numerous reports have focused on the orexigenic effects of ghrelin (48,66 – 68), very few have investigated its effects on energy expenditure (59,69,70), and we believe that the latter can subtantially contribute to a ghrelin-induced increase in fat mass. Ghrelin and the neuroendocrine regulation of SPA We recently reported preliminary data (71), which reveal for the first time a suppressive effect of ghrelin on SPA. In several independent rodent experiments, there was a substantial decrease of SPA following ghrelin administration into the lateral-cerebral ventricle at the same dose that substantially increased food intake in these rats. Although this finding concurs with the conclusion that ghrelin is a hormone that communicates to central nervous system centers at times that energy should be saved (67), it may appear contradictory that a factor that triggers food intake (which in and of itself requires a certain amount of physical activity) also suppresses SPA. However, whereas a single central administration of ghrelin increases food intake in rats acutely, the decrease in SPA occurs after a delay. We propose that in accordance with the general aim to accrue and save energy in times of energy restriction, ghrelin might first trigger appetite and food intake and only later suppress nonessential energy expenditure such as SPA to protect the newly ingested and/or the limited remaining energy in store. Intrigued by these findings, we have started to investigate whether ghrelin-responsive neuropeptides, such as AGRP and NPY, which are thought to mediate ghrelin’s orexigenic effects (48,72), might have comparable effects on SPA. We therefore have generated further unpublished data (73) indicating that centrally administered AGRP suppresses SPA in a pattern and to an extent comparable with that triggered by ghrelin, whereas NPY, if anything, tends to increase SPA. Expanding the neuroendocrine regulation of energy balance to include SPA Intrigued by our observations that some neuropeptides suppress SPA in rats in addition to their potent orexigenic activity, we carefully revisited the literature on neuroendocrine Downloaded from jn.nutrition.org at UNIVERSITY OF TOLEDO LIBRARIES on October 16, 2008 it is mandatory to explicitly define and consequently dissect its physiological and behavioral components. As discussed above, total energy expenditure is composed of basal metabolic rate (BMR), the thermic effect of food (TEF), and physical activity (Fig. 1) (37). One model provides a new environment for rodents by placing them in an open field, thus eliciting increased exploratory activity (influenced by both motivational and behavioral components) (38). Another model allows the nonvolitional activity or SPA of an adapted rodent housed in a single cage and includes ambulatory and climbing movements as well as rearing and fidgeting and food intake–and drinking-associated activity (39). Scientific understanding of the regulation of SPA is severely incomplete. Some authors argue that the predominant direction of influence goes from body weight to compensatory activity (40), whereas others argue that changes in activity are responsible for changes in body weight (22). Several relatively extensive and detailed reports have documented an influence of diet, rodent strain, gender, age, or hypothalamic lesions on the level of SPA in rodents (40). Diet has been suggested as one determinant of SPA based on the observation of hyperactivity in food-deprived animals. However, no solid evidence could be found to generalize this hypothesis, particularly because diet does not explain reduced activity in DIO rodents (40). SPA does seem to be a function of the specific rodent strain examined because there are considerable differences in SPA among, for example, ob/ob mice, New Zealand obese mice, and Zucker fatty (fa/fa) rats and between C57B mice (average SPA) and BALB/c mice (rel. high SPA) or 129sv mice (40,41). An age-related decrease in SPA has been reported (42), as well as a higher average SPA level in female rats and mice relative to males (43). This difference varies with the estrus cycle and has been suggested to be partially due to changes in circulating concentrations of estrogen based on studies in ovariectomized rats (44). Lesions of the ventromedial hypothalamus (VMH) increase food intake and body weight, but also reduce SPA (45). Interestingly, rats with lesions of the paraventricular nucleus of the hypothalamus (PVN) develop an obese phenotype very similar to the one observed in VMH-lesioned animals, but they do not exhibit reduced SPA (46). Although these findings are collectively suggestive with respect to the lack of physical activity contributing to human obesity, not all findings in rodents will be relevant for the understanding of the causes, molecular mechanisms, and treatment modalities of human obesity (40). That said, SPA and its contribution to energy expenditure are difficult to measure in humans. Furthermore, the multiple environmental and voluntary influences on energy expenditure are difficult to control in humans. For one thing, humans are conscious of the benefits of physical activity, and this can bias the outcome of experiments. At another level, studies of hypothalamic neuropeptide action or expression cannot easily be performed in humans. Rodent models therefore provide several advantages for the investigation of the molecular mechanisms controlling the level of SPA. NEUROENDOCRINE CONTROL OF SPONTANEOUS LOCOMOTOR ACTIVITY 1317 factors regulating food intake, focusing on possible reports of effects on SPA. Leptin and ghrelin are currently considered endogenous opponents in the regulation of food intake and body weight (48,67). Interestingly, whereas ghrelin decreases SPA, leptin replacement therapy in ob/ob mice, which have a pathologically low level of locomotor activity, increases their SPA even before a substantial decrease in body weight occurs (74). Melanin concentrating hormone (MCH), a neuropeptide localized in the lateral hypothalamus that increases food intake in rodents, decreases locomotor activity (75). As a matter of fact, MCH may be a downstream mediator of leptin-induced changes in SPA (76). Cocaine amphetamine regulated transcript (CART) decreases food intake and body weight (77,78), but increases locomotor activity in rats after central administration (79). Genetic deletion of orexin A, a neuropeptide that is mainly associated with arousal, but that also increases food intake, causes narcolepsy (80). It therefore does not seem surprising that intracerebroventricular orexin A administration causes an increase of SPA in rats (22). Although AGRP, which is an inverse agonist at the melanocortin 3 and 4 receptors, has not been previously investigated with respect to the regulation of SPA per se, it has been reported that AGRP counteracts physical hyperactivity and self-starvation in rats presented with running wheels (81). MTII (agonist) and SHU9119 (antagonist), powerful exogenous melanocortin 3 and 4 receptor ligands, have been reported to increase and decrease SPA in rat, respectively (82,83). The novel neuropeptides W and B appear to modify body weight by influencing both food intake and locomotion activity via the recently characterized Gprotein coupled receptor GPR7 (84). Genetic ablation of brain-derived neurotrophic factor, which has recently been reported to influence food intake via the melanocortin receptor system, leads to increased SPA in mice (85). Neuromedin U is a gut hormone and neuropeptide, which has been characterized as a satiety factor with additional stimulating effect on SPA (86). Two neurotransmitters, ␥-amino-butyric acid and dopamine, have been implicated in the regulation of appetite and body weight (50) and are certainly both important for the central nervous control of motor activity (87). The dopaminergic system has, for example, been suggested to mediate orexin A–induced activity, and an involvement of the ventral tegmental area dopaminergic system in orexin-induced activity has already been demonstrated (88). The important point is that there is a wealth of scattered information indicating that the same neural signals that control food intake also may have a profound effect on physical activity. SUMMARY During the preparation of this article, two other important findings were reported. One of them provides strong evidence for a causal role of posture allocation and specific patterns of non-exercise activity for human obesity. Specifically, Levine and colleagues (89) report that obese individuals are on average seated 2 h longer per d than lean individuals. This differ- Downloaded from jn.nutrition.org at UNIVERSITY OF TOLEDO LIBRARIES on October 16, 2008 FIGURE 2 Myriad peripheral signals (including many hormones) are continuously providing central circuits with information about ongoing energy balance and metabolic homeostasis. Specific areas of the brain that have been identified as important for processing this afferent information as well as for the continuous adjustment of an appropriate efferent response are depicted in this figure and discussed in this review article. These areas include the nucleus of the solitary tract (NTS), the lateral parabrachial nucleus (LPB), and other areas in the brainstem region, as well as the arcuate nucleus (ARC), the VMH, the dorsomedial hypothalamus (DMH), the PVN, and the lateral hypothalamus (LH). Communication among these neuronal circuits relies on the generation and release of specific neurotransmitters and neuropeptides. Although expression of the potently orexigenic AGRP is strictly limited to the ARC, the similarly strong appetite-promoting NPY is expressed in numerous regions of the brain including areas involved in the regulation of body weight. The exact anatomical and functional blueprint of the projections among these other neuropeptides and neurotransmitters regulating energy homeostasis [such as CART, MCH, thyrotropin releasing hormone (TRH), corticotropin releasing hormone (CRH), oxytocin (OXY), and vasopressin (AVP)] is unknown. Even less known are the influences of visual, olfactory, and circadian inputs, which might in part be mediated through specific neuronal circuits in brain areas such as the suprachiasmatic nucleus (SCN) or the supraventicular zone (SPZ). Based on our preliminary data and scattered published evidence, we propose that specific parts of these neuroendocrine circuits are controlling SPA in addition to regulating food intake. This schematic figure is based on data from Elmquist, Physiol. Behav. 74 (2001) 703–708; Barsh & Schwartz, Nat. Rev. Genet. 3 (2002) 589 – 600; Ahima & Osei, Trends Mol. Med. 7 (2001) 205–213; Berthoud, Neurosci. Biobehav. Rev. 26 (2002) 393– 428; Kalra et al., Endocr. Rev. 20 (1999) 68 –100; Saper et al., Neuron 36 (2002) 199 –211; Flier, Cell 116 (2004) 337–350. SYMPOSIUM 1318 ACKNOWLEDGMENTS The authors are grateful to Steve Woods and Randy Seeley for very helpful discussions and comments on the manuscript. LITERATURE CITED 1. Wyatt, H. R. (2003) The prevalence of obesity. Prim. Care 30: 267–279. 2. Haffner, S. & Taegtmeyer, H. (2003) Epidemic obesity and the metabolic syndrome. Circulation 108: 1541–1545. 3. Kimm, S. Y. & Obarzanek, E. (2002) Childhood obesity: A new pandemic of the new millennium. Pediatrics 110: 1003–1007. 4. Manson, J. E. & Bassuk, S. S. (2003) Obesity in the United States: A fresh look at its high toll. J. Am. Med. Assoc. 289: 229 –230. 5. Mokdad, A. H., Ford, E. S., Bowman, B. A., Dietz, W. H., Vinicor, F., Bales, V. S. & Marks, J. S. (2003) Prevalence of obesity, diabetes, and obesity-related health risk factors, 2001. J. Am. Med. Assoc. 289: 76 –79. 6. Fontaine, K. R., Redden, D. T., Wang, C., Westfall, A. O. & Allison, D. B. (2003) Years of life lost due to obesity. J. Am. Med. Assoc. 289: 187–193. 7. Sheehan, M. T. & Jensen, M. D. (2000) Metabolic complications of obesity. Pathophysiologic considerations. Med. Clin. North Am. 84: 363–385. 8. Calle, E. E., Rodriguez, C., Walker-Thurmond, K. & Thun, M. J. (2003) Overweight, obesity, and mortality from cancer in a prospectively studied cohort of U.S. adults. N. Engl. J. Med. 348: 1625–1638. 9. Klein, S. (2004) The national obesity crisis: A call for action. Gastroenterology 126: 6. 10. Gura, T. (2003) Obesity drug pipeline not so fat. Science 299: 849 – 852. 11. York, D. & Bouchard, C. (2000) How obesity develops: Insights from the new biology. Endocrine 13: 143–154. 12. Ravussin, E. & Bogardus, C. (2000) Energy balance and weight regulation: Genetics versus environment. Br. J. Nutr. 83: S17–S20. 13. Seeley, R. J. & Woods, S. C. (2003) Monitoring of stored and available fuel by the CNS: Implications for obesity. Nat. Rev. Neurosci. 4: 901–909. 14. Schwartz, M. W., Woods, S. C., Seeley, R. J., Barsh, G. S., Baskin, D. G. & Leibel, R. L. (2003) Is the energy homeostasis system inherently biased toward weight gain? Diabetes 52: 232–238. 15. Flier, J. S. (2004) Obesity wars. Molecular progress confronts an expanding epidemic. Cell 116: 337–350. 16. Ravussin, E. & Swinburn, B. A. (1992) Pathophysiology of obesity. Lancet 340: 404 – 408. 17. Hu, F. B., Li, T. Y., Colditz, G. A., Willett, W. C. & Manson, J. E. (2003) Television watching and other sedentary behaviors in relation to risk of obesity and type 2 diabetes mellitus in women. J. Am. Med. Assoc. 289: 785–1791. 18. Livingstone, M. B., Robson, P. J., Wallace, J. M. & McKinley, M. C. (2003) How active are we? Levels of routine physical activity in children and adults. Proc. Nutr. Soc. 62: 681–701. 19. Reilly, J. J. & McDowell, Z. C. (2003) Physical activity interventions in the prevention and treatment of paediatric obesity: Systematic review and critical appraisal. Proc. Nutr. Soc. 62: 611– 619. 20. Giammattei, J., Blix, G., Marshak, H. H., Wollitzer, A. O. & Pettitt, D. J. (2003) Television watching and soft drink consumption: Associations with obesity in 11- to 13-year-old schoolchildren. Arch. Pediatr. Adolesc. Med. 157: 882– 886. 21. Arluk, S. L., Branch, J. D., Swain, D. P. & Dowling, E. A. (2003) Childhood obesity’s relationship to time spent in sedentary behavior. Mil. Med. 168: 583–586. 22. Levine, J. A. (2003) Non-exercise activity thermogenesis. Proc. Nutr. Soc. 62: 667– 679. 23. Levine, J. A., Eberhardt, N. L. & Jensen, M. D. (1999) Role of nonexercise activity thermogenesis in resistance to fat gain in humans. Science 283: 212–214. 24. Ravussin, E. & Danforth, E., Jr. (1999) Beyond sloth—Physical activity and weight gain. Science 283: 184 –185. 25. Snitker, S., Tataranni, P. A. & Ravussin, E. (2001) Spontaneous physical activity in a respiratory chamber is correlated to habitual physical activity. Int. J. Obes. Relat. Metab. Disord. 25: 1481–1486. 26. Vanltallie, T. B. (2001) Resistance to weight gain during overfeeding: a NEAT explanation. Nutr. Rev. 59: 48 –51. 27. Jensen, M. D. (2000) Genetic and environmental contributions. Nutr. Rev. 58: S22–S24. 28. Levine, J. A., Schleusner, S. J. & Jensen, M. D. (2000) Energy expenditure of nonexercise activity. Am. J. Clin. Nutr. 72: 1451–1454. 29. Levine, J. A. (2002) Non-exercise activity thermogenesis (NEAT). Best Pract. Res. Clin. Endocrinol. Metab. 16: 679 –702. 30. Weinsier, R. L., Hunter, G. R., Heini, A. F., Goran, M. I. & Sell, S. M. (1998) The etiology of obesity: Relative contribution of metabolic factors, diet, and physical activity. Am. J. Med. 105: 145–150. 31. Goran, M. I., Reynolds, K. D. & Lindquist, C. H. (1999) Role of physical activity in the prevention of obesity in children. Int. J. Obes. Relat. Metab. Disord. 23: S18 –S33. 32. Goran, M. I. (2000) Energy metabolism and obesity. Med. Clin. North. Am. 84: 347–362. 33. McInnis, K. J., Franklin, B. A. & Rippe, J. M. (2003) Counseling for physical activity in overweight and obese patients. Am. Fam. Phys. 67: 1249 – 1256. 34. World Health Organization (1997) Obesity: Preventing and managing the global epidemic. Geneva: WHO. 35. Christ, C. Y., Hunt, D., Hancock, J., Garcia-Macedo, R., Mandarino, L. J. & Ivy, J. L. (2002) Exercise training improves muscle insulin resistance but not insulin receptor signaling in obese Zucker rats. J. Appl. Physiol. 92: 736 –744. 36. Christ-Roberts, C. Y., Pratipanawatr, T., Pratipanawatr, W., Berria, R., Belfort, R. & Mandarino, L. J. (2003) Increased insulin receptor signaling and glycogen synthase activity contribute to the synergistic effect of exercise on insulin action. J. Appl. Physiol. 95: 2519 –2529. 37. Dulloo, A. G., Jacquet, J. & Montani, J. P. (2002) Pathways from weight fluctuations to metabolic diseases: focus on maladaptive thermogenesis during catch-up fat. Int. J. Obes. Relat. Metab. Disord. 26: S46 –S57. 38. Harrington, M. E. & Coscina, D. V. (1983) Early weight gain and behavioral responsivity as predictors of dietary obesity in rats. Physiol. Behav. 30: 763–770. 39. Kiwaki, K., Kotz, C. M., Wang, C., Lanningham-Foster, L. & Levine, J. A. (2004) Orexin A (hypocretin 1) injected into hypothalamic paraventricular nucleus and spontaneous physical activity in rats. Am. J. Physiol. Endocrinol. Metab. 286: 551–559. 40. Tou, J. C. & Wade, C. E. (2002) Determinants affecting physical activity levels in animal models. Exp. Biol. Med. 227: 587– 600. 41. Kelly, M. A., Low, M. J., Phillips, T. J., Wakeland, E. K. & Yanagisawa, M. (2003) The mapping of quantitative trait loci underlying strain differences in locomotor activity between 129S6 and C57BL/6J mice. Mamm. Genome 14: 692–702. 42. Ingram, D. K. (2000) Age-related decline in physical activity: generalization to nonhumans. Med. Sci. Sports Exerc. 32: 1623–1629. 43. Tropp, J. & Markus, E. J. (2001) Sex differences in the dynamics of cue utilization and exploratory behavior. Behav. Brain Res. 119: 143–154. 44. Colvin, G. B. & Sawyer, C. H. (1969) Induction of running activity by intracerebral implants of estrogen in overiectomized rats. Neuroendocrinology 4: 309 –320. 45. Tokunaga, K., Matsuzawa, Y., Fujioka, S., Kobatake, T., Keno, Y., Odaka, H., Matsuo, T. & Tarui, S. (1991) PVN-lesioned obese rats maintain ambulatory activity and its circadian rhythm. Brain Res. Bull. 26: 393–396. 46. Cox, J. E. & Powley, T. L. (1981) Intragastric pair feeding fails to prevent VMH obesity or hyperinsulinemia. Am. J. Physiol. 240: E566 –E572. 47. Heisler, L. K., Cowley, M. A., Kishi, T., Tecott, L. H., Fan, W., Low, M. J., Smart, J. L., Rubinstein, M., Tatro, J. B., Zigman, J. M., Cone, R. D. & Elmquist, Downloaded from jn.nutrition.org at UNIVERSITY OF TOLEDO LIBRARIES on October 16, 2008 ence seems to be biologically determined rather than a consequence of obesity because posture allocation did not change when the obese individuals lost weight or when lean individuals gained weight. The authors calculate that adaptation of the posture allocation patterns of lean individuals by obese individuals would trigger the expenditure of an additional 350 kcal per day. The authors suggest that there are likely to be central and humoral mediators, which drive or slow down non-exercise activity resulting in protection against or susceptibility for obesity. Another very recent breakthrough provides compelling evidence for exactly such a pathway controlling non-exercise activity. Coppari and colleagues (90) report that leptin regulates spontaneous physical activity via a specific subset of hypothalamic neurons of the arcuate nucleus. Obesity is one of the most urgent health problems, and all strategies for its prevention or treatment have failed. Increased sedentary behavior represents one reason for the increasing prevalence of obesity and its devastating consequences. Low physical activity levels are also a major determinant of body fat gain during overfeeding. The putative regulation of SPA by leptin, ghrelin, AGRP, NPY, MCH, and several other players in the same or comparable neuroendocrine networks, all of which are known to regulate food intake, has not previously been investigated in a systematic manner. It seems therefore worth investigating whether the current model of food intake control can be expanded to include mechanisms regulating physical activity. Such studies might promote our understanding of one of the major etiological factors causing obesity. It may be equally important however to uncover intersections of the specific pathways regulating food intake, resting thermogenesis, and spontaneous physical activity in order to generate pharmacological agents that more potently create a negative energy balance. NEUROENDOCRINE CONTROL OF SPONTANEOUS LOCOMOTOR ACTIVITY & Tschoep, M. (2003) Ghrelin induces long lasting changes in food intake and locomotor behaviour. Proceedings of the 85th Annual Meeting of the Endocrine Society, Philadelphia. P3–94: 497 (abs). 72. Cowley, M. A., Smith, R. G., Diano, S., Tschöp, M., Pronchuk, N., Grove, K. L., Strasburger, C. J., Bidlingmaier, M., Esterman, M., Heiman, M. L., GarciaSegura, L. M., Nillni, E. A., Mendez, P., Low, M. J., Sotonyi, P., Friedman, J. M., Liu, H. Pinto, S., Colmers, W. F., Cone, R. D. & Horvath, T. L. (2003) The distribution and mechanism of action of ghrelin in the CNS demonstrates a novel hypothalamic circuit regulating energy homeostasis. Neuron 37: 649 – 661. 73. Tang-Christensen, M., Vrang, N., Ortmann, S., Bidlingmaier, M., Horvath, T. L. & Tschöp, M. (2004) Ghrelin increases food intake and decreases spontaneous locomotor activity in rats. Endocrinology 145: 4645– 4652. 74. Ahima, R. S., Bjorbaek, C., Osei, S. & Flier, J. S. (1999) Regulation of neuronal and glial proteins by leptin: Implications for brain development. Endocrinology 140: 2755–2762. 75. Ludwig, D. S., Tritos, N. A., Mastaitis, J. W., Kulkarni, R., Kokkotou, E., Elmquist, J., Lowell, B., Flier, J. S. & Maratos-Flier, E. (2001) Melanin-concentrating hormone overexpression in transgenic mice leads to obesity and insulin resistance. J. Clin. Invest. 107: 379 –386. 76. Segal-Lieberman, G., Bradley, R. L., Kokkotou, E., Carlson, M., Trombly, D. J., Wang, X., Bates, S., Myers, M. G., Jr. & Flier, J. S., Maratos-Flier, E. (2003) Melanin-concentrating hormone is a critical mediator of the leptin-deficient phenotype. Proc. Natl. Acad. Sci. U.S.A. 100: 10085–10090. 77. Wortley, K. E., Chang, G. Q., Davydova, Z., Fried, S. K. & Leibowitz, S. F. (2004) Cocaine- and amphetamine-regulated transcript in the arcuate nucleus stimulates lipid metabolism to control body fat accrual on a high-fat diet. Regul. Pept. 117: 89 –99. 78. Kristensen, P., Judge, M. E., Thim, L., Ribel, U., Christjansen, K. N., Wulff, B. S., Clausen, J. T., Jensen, P. B., Madsen, O. D., Vrang, N., Larsen, P. J. & Hastrup, S. (1998) Hypothalamic CART is a new anorectic peptide regulated by leptin. Nature 393: 72–76. 79. Kimmel, H. L., Thim, L. & Kuhar, M. J. (2002) Activity of various CART peptides in changing locomotor activity in the rat. Neuropeptides 36: 9 –12. 80. Chemelli, R. M., Willie, J. T., Sinton, C. M., Elmquist, J. K., Scammell, T., Lee, C., Richardson, J. A., Williams, S. C., Xiong, Y., Kisanuki, Y., Fitch, T. E., Nakazato, M., Hammer, R. E., Saper, C. B. & Yanagisawa, M. (1999) Narcolepsy in orexin knockout mice: Molecular genetics of sleep regulation. Cell. 98: 437– 451. 81. Kas, M. J., van Dijk, G., Scheurink, A. J. & Adan, R. A. (2003) Agoutirelated protein prevents self-starvation. Mol. Psychiatry 8: 235–240. 82. Adage, T., Scheurink, A. J., de Boer, S. F., de Vries, K., Konsman, J. P., Kuipers, F., Adan, R. A., Baskin, D. G., Schwartz, M. W. & van Dijk, G. (2001) Hypothalamic, metabolic, and behavioral responses to pharmacological inhibition of CNS melanocortin signaling in rats. J. Neurosci. 21: 3639 –3645. 83. Murphy, B., Nunes, C. N., Ronan, J. J., Hanaway, M., Fairhurst, A. M. & Mellin, T. N. (2000) Centrally administered MTII affects feeding, drinking, temperature, and activity in the Sprague-Dawley rat. J. Appl. Physiol. 89: 273– 282. 84. Ishii, M., Fei, H. & Friedman, J. M. (2003) Targeted disruption of GPR7, the endogenous receptor for neuropeptides B and W, leads to metabolic defects and adult-onset obesity. Proc. Natl. Acad. Sci. U.S.A. 100: 10540 –10545. 85. Kernie, S. G., Liebl, D. J. & Parada, L. F. (2000) BDNF regulates eating behavior and locomotor activity in mice. EMBO J. 19: 1290 –1300. 86. Nakazato, M., Hanada, R., Murakami, N., Date, Y., Mondal, M. S., Kojima, M., Yoshimatsu, H., Kangawa, K. & Matsukura, S. (2000) Central effects of neuromedin U in the regulation of energy homeostasis. Biochem. Biophys. Res. Commun. 277: 191–194. 87. Rizzolatti, G. & Luppino, G. (2001) The cortical motor system. Neuron 31: 889 –901. 88. Nakamura, T., Uramura, K., Nambu, T., Yada, T., Goto, K., Yanagisawa, M. & Sakurai, T. (2000) Orexin-induced hyperlocomotion and stereotypy are mediated by the dopaminergic system. Brain. Res. 873: 181–187. 89. Levine, J. A., Lanningham-Foster, L. M., McCrady, S. K., Krizan, A. C., Olson, L. R., Kane, P. H., Jensen, M. D. & Clark, M. M. (2005) Interindividual variation in posture allocation: possible role in human obesity. Science 307: 584 –586. 90. Coppari, R., Ichinose, M., Lee, C. E., Pullen, A. E., Kenny, C. D., McGovern, R. A., Tang, V., Liu, S. M., Ludwig, T., Chua, S. C., Lowell, B. B. & Elmquist, J. K. (2005) The hypothalamic arcuate nucleus: a key site for mediating leptin’s effects on glucose homeostasis and locomotor activity. Cell Metab. 1: 63–72. Downloaded from jn.nutrition.org at UNIVERSITY OF TOLEDO LIBRARIES on October 16, 2008 J. K. (2003) Central serotonin and melanocortin pathways regulating energy homeostasis. Ann. N.Y. Acad. Sci. 994: 169 –174. 48. Zigman, J. M. & Elmquist, J. K. (2003) Minireview: From anorexia to obesity—The yin and yang of body weight control. Endocrinology 144: 3749 – 3756. 49. Berthoud, H. R. (2003) Neural systems controlling food intake and energy balance in the modern world. Curr. Opin. Clin. Nutr. Metab. Care 6: 615– 620. 50. Barsh, G. S. & Schwartz, M. W. (2002) Genetic approaches to studying energy balance: perception and integration. Nat. Rev. Genet. 3: 589 – 600. 51. Saper, C. B., Chou, T. C. & Elmquist, J. K. (2002) The need to feed: homeostatic and hedonic control of eating. Neuron 36: 199 –211. 52. Grill, H. J. & Kaplan, J. M. (2002) The neuroanatomical axis for control of energy balance. Front. Neuroendocrinol. 23: 2– 40. 53. Elmquist, J. K. (2001) Hypothalamic pathways underlying the endocrine, autonomic, and behavioral effects of leptin. Int. J. Obes. Relat. Metab. Disord. 25: S78 –S82. 54. Wardlaw, S. L. (2001) Clinical review 127: Obesity as a neuroendocrine disease: lessons to be learned from proopiomelanocortin and melanocortin receptor mutations in mice and men. J. Clin. Endocrinol. Metab. 86: 1442–1446. 55. Schwartz, M. W., Woods, S. C., Porte, D., Jr., Seeley, R. J. & Baskin, D. G. (2000) Central nervous system control of food intake. Nature 404: 661– 671. 56. Friedman, J. M. & Halaas, J. L. (1998) Leptin and the regulation of body weight in mammals. Nature 395: 763–770. 57. Kalra, S. P., Dube, M. G., Pu, S., Xu, B., Horvath, T. L. & Kalra, P. S. (1999) Interacting appetite-regulating pathways in the hypothalamic regulation of body weight. Endocr. Rev. 20: 68 –100. 58. Kojima, M., Hosoda, H., Date, Y., Nakazato, M., Matsuo, H. & Kangawa, K. (1999) Ghrelin is a growth-hormone-releasing acylated peptide from stomach. Nature 402: 656 – 660. 59. Tschöp, M., Smiley, D. & Heiman, M. L. (2000) Ghrelin induces adiposity in rodents. Nature 407: 908 –913. 60. Howard, A. D., Feighner, S. D., Cully, D. F., Arena, J. P., Liberator, P. A., Rosenblum, C. I., Hamelin, M., Hreniuk, D. L., Palyha, O. C., Anderson, J., Paress, P. S., Diaz, C., Chou, M., Liu, K. K., McKee, K. K., Pong, S. S., Chaung, L. Y., Elbrecht, A., Dashkevicz, M., Heavens, R., Rigby, M., Sirinathsinghji, D. J., Dean, D. C., Melillo, D. G., & Van der Ploeg, L.H., et al. (1996) A receptor in pituitary and hypothalamus that functions in growth hormone release. Science 273: 974 – 977. 61. Willesen, M. G., Kristensen, P. & Romer, J. (1999) Co-localization of growth hormone secretagogue receptor and NPY mRNA in the arcuate nucleus of the rat. Neuroendocrinology 70: 306 –316. 62. Hahn, T. M., Breininger, J. F., Baskin, D. G. & Schwartz, M. W. (1998) Coexpression of Agrp and NPY in fasting-activated hypothalamic neurons. Nat. Neurosci. 1: 271–272. 63. Tschöp, M., Wawarta, R., Riepl, R. L., Friedrich, S., Bidlingmaier, M., Landgraf, R. & Folwaczny, C. (2001) Post-prandial decrease of circulating human ghrelin levels. J. Endocrinol. Invest. 24: 19 –21. 64. Tschöp, M., Weyer, C., Tataranni, P. A., Devanarayan, V., Ravussin, E. & Heiman, M. L. (2001) Circulating ghrelin levels are decreased in human obesity. Diabetes 50: 707–709. 65. Cummings, D. E., Purnell, J. Q., Frayo, R. S., Schmidova, K., Wisse, B. E. & Weigle, D. S. (2001) A preprandial rise in plasma ghrelin levels suggests a role in meal initiation in humans. Diabetes 50: 1714 –1719. 66. Cummings, D. E. & Shannon, M. H. (2003) Roles for ghrelin in the regulation of appetite and body weight. Arch. Surg. 138: 389 –396. 67. Horvath, T. L., Diano, S., Heiman, M. L. & Tschöp, M. (2001) Ghrelin and the regulation of energy balance: A hypothalamic perspective. Endocrinology 142: 4163– 4169. 68. Inui, A. (2001) Ghrelin: An orexigenic and somatotrophic signal from the stomach. Nat. Rev. Neurosci. 2: 551–560. 69. Tschöp, M., Statnick, M., Suter, T. & Heiman, M. L. (2002) Growth hormone-releasing peptide-2 (GHRP-2) increases fat mass in mice lacking neuropeptide Y (NPY): Indication for a crucial mediating role of hypothalamic Agoutirelated protein (AGRP). Endocrinology 143: 558 –568. 70. Asakawa, A., Inui, A., Kaga, T., Yuzuriha, H., Nagata, T., Ueno, N., Makino, S., Fujimiya, M., Niijima, A., Fujino, M. A. & Kasuga, M. (2001) Ghrelin is an appetite-stimulatory signal from stomach with structural resemblance to motilin. Gastroenterology 120: 337–345. 71. Tang-Christensen, M., Vrang, N., Ohrtmann, S., Larsen, P. J., Horvath, T. 1319
© Copyright 2026 Paperzz