Erin Keen-Rhinehart
Katelynn Ondek
Jill E. Schneider- 1Department of Biology, Susquehanna University, Selinsgrove, PA, USA
- 2Department of Biological Sciences, Lehigh University, Bethlehem, PA, USA
Food availability in nature is often irregular, and famine is commonplace. Increased motivation to engage in ingestive behaviors increases the chance of survival, providing additional potential opportunities for reproduction. Because of the advantages conferred by entraining ingestive behavior to environmental conditions, neuroendocrine mechanisms regulating the motivation to acquire and ingest food have evolved to be responsive to exogenous (i.e., food stored for future consumption) and endogenous (i.e., body fat stores) fuel availability. Motivated behaviors like eating occur in two phases. The appetitive phase brings animals into contact with food (e.g., foraging, food hoarding), and the more reflexive consummatory phase results in ingestion (e.g., chewing, swallowing). Quantifiable appetitive behaviors are part of the natural ingestive behavioral repertoire of species such as hamsters and humans. This review summarizes current knowledge about neuroendocrine regulators of ingestive behavior, with an emphasis appetitive behavior. We will discuss hormonal regulators of appetitive ingestive behaviors, including the orexigenic hormone ghrelin, which potently stimulates foraging and food hoarding in Siberian hamsters. This section includes a discussion of the hormone leptin, its relation to endogenous fat stores, and its role in food deprivation-induced increases in appetitive ingestive behaviors. Next, we discuss how hormonal regulators interact with neurotransmitters involved in the regulation of ingestive behaviors, such as neuropeptide Y (NPY), agouti-related protein (AgRP) and α-melanocyte stimulating hormone (α-MSH), to regulate ingestive behavior. Finally, we discuss the potential impact that perinatal nutrient availability can have on the neuroendocrine regulation of ingestive behavior. Understanding the hormonal mechanisms that connect metabolic fuel availability to central appetite regulatory circuits should provide a better understanding of the neuroendocrine regulation of the motivation to engage in ingestive behavior.
Introduction
Although obesity was rare in the human population for thousands of years (Haslam, 2007), it is now one of the leading health issues worldwide and has been declared a global epidemic by the World Health Organization (Caballero, 2007). Despite concerted efforts to solve this problem, obesity rates continue to rise worldwide. To understand human ingestive behavior and the origins of this epidemic, it is useful to consider an evolutionary perspective (Bronson, 1989; Neel, 1999; Prentice, 2005; Schneider, 2006). Fluctuating food supply and famine have been a consistent threat to survival for most animals, including humans (Prentice, 2005). Selection pressures resulting from these fluctuations favor the ability to store energy sources on the body as fat and/or the propensity to store food in the home. These abilities provide a buffer against a variable or unpredictable food supply, and thus allow animals to optimize reproductive success (Prentice, 2005; Schneider, 2006). These phenotypic properties are physiologic (turning off unnecessary functions), metabolic (slowing basal metabolic rate), behavioral (binge eating, food hoarding, decreased physical activity), and adipogenic (generation of internal fat stores, (Prentice, 2005). In western, industrialized societies, humans inhabit an environment with an overabundance of highly palatable, easily accessible food sources, transforming these once beneficial adaptations into health liabilities. Therefore, understanding the basic neuroendocrine regulation of food and body fat storage and the mechanisms underlying the adaptations to a food-insecure environment is a central issue to understanding and combating the obesity epidemic (Ulijaszek, 2002).
Human obesity studies typically focus on metabolism, adipogenesis, and meal patterns. Human foraging and hoarding behavior typically is dismissed as irrelevant to understanding the health issues surrounding overeating, obesity, and diabetes. Some data is available, however, on food purchasing behavior, and these studies indicated that 85% of the energy content of the human diet consists of food purchased for consumption at home (Ransley et al., 2003). These types of studies also confirm the well-known anecdote that purchasing food when food deprived or “hungry” increases food purchasing, (Dodd et al., 1977; Tom, 1983). In addition, obese individuals are likely to purchase more food per person and more calorically dense food (Ransley et al., 2003; Epstein et al., 2007). After foraging for food at the grocery store, humans then store the food at home for future consumption in freezers and pantries (a.k.a. hoarding). Efforts to understand the neuroendocrine differences responsible for these incongruities between the behaviors of lean and obese individuals have employed a variety of animal models.
Food intake is the most studied ingestive behavior, but other ingestive behaviors are likely to be important. In the long history of research in behavioral endocrinology, motivated behavior is thought to be comprised of two main phases: the appetitive and the consummatory phases (Craig, 1918). Appetitive behaviors are flexible, non-stereotyped responses that bring an animal into contact with a goal object, whereas consummatory behaviors are the final reflexive, stereotyped responses after decisions and efforts have been made to reach the goal object. Both appetitive and consummatory behaviors can increase with hunger and the desire immediately to consume food and to store energy. Eaten food can be stored on the body as adipose tissue depots, while hoarded food is stored in the home or burrow for later consumption during energetic deficits. The important distinction lies in the fact that consummatory behaviors also reflect the ability to perform motor actions. Therefore, measures of food intake can be confounded by limits on the ability of the animal to eat or digest food, or by many other postingestional cues. By contrast, appetitive behaviors are a more “pure” reflection of motivation for acquiring fuels either for eating or calorie storage. Some appetitive ingestive behaviors occur at different times than consummatory behaviors, and appetitive behaviors most useful for scientific study are those that can occur even in the absence of changes in food intake (Bartness and Clein, 1994; Bartness, 1997; Buckley and Schneider, 2003). For example, hungrier animals initiate meals sooner, avidly consume an unpalatable substance, make more effort to gain access to food, and hoard more food in their home or burrow (reviewed by Keen-Rhinehart et al., 2010; Bartness et al., 2011; Schneider et al., 2013). This review will focus on appetitive ingestive behaviors that: (1) are easily quantified, (2) occur separate in time and space from consummatory behaviors, (3) are controlled by different chemical messengers, neural substrates, and environmental stimuli than consummatory behaviors, and (4) are able to provide an indication of the animals' internal motivational state. The neuroendocrine mechanisms that control consummatory ingestive behavior (food consumption) are relatively well studied (for reviews see: Kalra et al., 1999; Abizaid and Horvath, 2012; Kageyama et al., 2012). After a brief review of the neuroendocrine regulation of consummatory ingestive behavior, this review will focus mostly on the neuroendocrine basis for appetitive behavior, with a major emphasis on food hoarding as a quintessential appetitive behavior.
Neuroendocrine Regulation of Consummatory Ingestive Behavior
Historically, the majority of ingestive behavior studies have used laboratory rats or mice as model systems, measuring the food consumption of animals housed in isolation. Therefore, it is useful to review these data as a starting point for understanding the neuroendocrine control of ingestive behavior. Many neuroendocrine factors affect food intake in laboratory animals (reviewed by Schneider and Watts, 2002; Schneider et al., 2012). Adrenal steroids (Stevenson and Franklin, 1970), and other proteins and peptides of the hypothalamic-pituitary-adrenal (HPA) axis significantly impact food intake (reviewed by Heinrichs and Richard, 1999; Bergonzelli et al., 2001). In addition, estradiol, testosterone, progesterone, and other neuroendocrine factors of the hypothalamic-pituitary-gonadal axis (HPG) axis affect food intake (reviewed by Wade, 1976; Schneider and Wade, 1999; Schneider et al., 2002). Finally, the metabolic hormones, leptin, insulin, glucagon, ghrelin, and glucagon-like peptide-I (GLP-I), as well as central factors, such as neuropeptide Y (NPY), agouti-related protein (AgRP), cocaine and amphetamine-regulated transcript (CART) and the melanocortins reliably affect consummatory ingestive behavior in laboratory animals (reviewed by Barsh and Schwartz, 2002; Zigman and Elmquist, 2003; Schwartz and Porte, 2005). Most recently, there has also been a push to understand the role of reward circuits and dopamine in the regulation of ingestive behavior (Abizaid et al., 2006b; Hommel et al., 2006; Abizaid, 2009). We shall attempt to review the contributions of each of these three systems to the neuroendocrine regulation of consummatory ingestive behavior.
The Arcuate Perspective on the Regulation of Consummatory Ingestive Behavior
The often co-localized orexigenic neuropeptides AgRP and NPY are the major products of the Arc that stimulate food intake (Kalra et al., 1999; Morton and Schwartz, 2001; Ellacott and Cone, 2004). The anorexigenic neuropeptide α-melanocyte stimulating hormone (α-MSH), a cleavage product of the proopiomelanocortin (POMC) gene, and CART are thought to oppose the effects of NPY and AgRP (reviewed by Zigman and Elmquist, 2003; Schwartz and Porte, 2005). According to the Arc perspective, anorexigenic and orexigenic neuron populations in the Arc respond to changes in the availability of oxidizable metabolic fuels, body fat stores, and/or peripheral hormones such as glucocorticoids, ghrelin, and leptin (Baskin et al., 1999; Cone et al., 2001). Peripheral hormones bind to receptors on Arc NPY/AgRP and POMC/CART neurons, affecting gene transcription (Coppari et al., 2005; Elmquist et al., 2005) and the synaptic inputs to the Arc neurons (reviewed by Zigman and Elmquist, 2003; Gao et al., 2007; Gyengesi et al., 2010; Briggs and Andrews, 2011; Eckel, 2011).
Although the plethora of evidence in support of the “arcuate perspective” seems to provide a simple, well-constructed model for the regulation of food intake at first glance, many other studies indicate that the Arc is neither necessary nor sufficient for the regulation of ingestive behavior (Grill, 2010). For example, neonatal Arc ablation does not disrupt food intake (Coppari et al., 2005), nor does adult Arc ablation have an effect if the animals are given GABA agonists in the parabrachial nucleus [PBN (Wu et al., 2009)]. In addition, food intake increases when the leptin receptor (LepR) is deleted outside the Arc and when orexigenic neuropeptides are injected in extra-arcuate regions of the brain (Faulconbridge et al., 2005; Dhillon et al., 2006; Musatov et al., 2007). The “arcuate perspective” also fails to incorporate extra-Arc populations of NPY, AgRP, and α-MSH neurons in areas such as the dorsomedial hypothalamus (DMH), ventromedial hypothalamus (VMH), paraventricular nucleus of the hypothalamus (PVN) and lateral hypothalamus (LHA), as well as how these cells are connected to the PBN, the dorsomotor nucleus of the vagus (DMV) and the nucleus of the solitary tract (NTS) in the hindbrain, that are responsible for the motor movements necessary for food intake (Zheng et al., 2010). It has also been demonstrated that peripheral sensory information reaches the diencephalon via the afferent visceral-central pathway and that vagal afferent NTS neurons connecting directly to pre-oral motor neurons of the reticular formation are both essential and sufficient for consummatory ingestive behavior (reviewed by Grill, 2010). Therefore, examining the role of these extra-Arc areas in the regulation of consummatory ingestive behavior in the future should provide a more complete understanding of the neural circuitry controlling food intake.
Role of the HPA Axis in the Regulation of Consummatory Ingestive Behavior
It has long been known that stress and adrenal steroids affect food consumption (Stevenson and Franklin, 1970). The HPA axis provides critical input to the neuroendocrine mechanisms that regulate energy intake, storage, and expenditure (reviewed by Heinrichs and Richard, 1999). Within the HPA axis, corticotropin-releasing hormone (CRH) regulates the secretion of adrenocorticotropic hormone (ACTH), which controls the secretion of adrenal steroids. Food deprivation decreases CRH expression in the PVN (Brady et al., 1990). CRH plays an anorexigenic role in the basal regulation of food intake (Karolyi et al., 1999). Although CRH is anorectic, glucocorticoids are orexigenic, and obesity does not occur in their absence. For example, lesion-, diet-, NPY-, and leptin gene mutation-induced obesity are reversed by adrenalectomy or by lack of glucocorticoids caused by shutting down the HPA axis (Bruce et al., 1982; Romsos et al., 1987; Stanley et al., 1989; Bray et al., 1992; Feldkircher et al., 1996).
HPA axis hormones and neuropeptides are highly conserved across a wide array of species, with regard to both chemical structure and the effects on the ingestive behavior (Landys et al., 2006). The CRH gene sequence is highly homologous in organisms from fish to mammals, and central CRH treatment decreases food intake in all classes of vertebrates tested to date (Carr, 2002) without increasing plasma glucocorticoids, unlike peripheral administration that increases both glucocorticoid levels and food consumption (Glowa et al., 1992). Although CRH is anorexigenic, glucocorticoids typically stimulate food consumption (Dallman et al., 1993, 2004) and provide negative feedback to inhibit CRH production and release. Thus, orexigenic effects of glucocorticoids could occur via direct effects on appetite regulatory mechanisms or via indirect effects by inhibiting the synthesis and release of CRH (reviewed by Heinrichs and Richard, 1999). The opposing effects of CRH and glucocorticoids are likely part of an adaptive response to stress (Sapolsky et al., 2000). Stress causes the release of adrenaline and CRH, which inhibit ingestive behaviors and trigger “fight-or-flight” behaviors, increasing the likelihood of survival. Increases in CRH directly stimulate sympathetic tone and the uptake of oxygen and metabolic fuel by the brain and muscles. The resulting rise in glucocorticoids inhibits CRH via action on central receptors to turn off the stress response, and then ingestive behavior resumes once the stressful situation has been resolved (Sapolsky et al., 2000). This sequence of events facilitates the reinstatement of energy balance by replacing the energy expended on the fight-or-flight response (Sapolsky et al., 2000). Stress responses are energetically expensive, and the ability to replenish lost energy is affected by fluctuating variables such as food availability, mate availability, and ambient temperature making the metabolic fuel availability a significant modulator of the effects of CRH and glucocorticoids on behavior.
Role of Reward Circuits in the Regulation of Consummatory Ingestive Behavior
Further complexity in the neuroendocrine regulation of consummatory ingestive behavior is afforded by the involvement of the mesolimbocortical dopaminergic (DA) system, which includes the nucleus accumbens, ventral tegmental area (VTA), and parts of the amygdala. This system is implicated in modulating behaviors such as learning, appetite, motivation and reward, as well as the willingness to work to access highly palatable foods (reviewed by Abizaid, 2009). Partly because of the overabundance of data supporting the hypothesis that obesity can be attributed to an addiction to food (Stice et al., 2012; Volkow et al., 2013), numerous studies have been conducted to investigate the connections between metabolic hormones and central reward circuits (for review see Hirasawa et al., 2007; Pandit et al., 2011; Schellekens et al., 2012; Volkow et al., 2013). For example, leptin is apparently able to reduce appetite by diminishing the rewarding value of food. Studies supporting this notion show that increased leptin signaling specifically in the VTA decreases food intake and firing rates of DA neurons while treatments that impair leptin signaling in the VTA increase DA neuronal firing rates, food intake and the proclivity to ingest highly palatable foods (Fulton et al., 2002, 2006; Hommel et al., 2006; Abizaid, 2009). Ghrelin also appears to modulate food intake via action in the VTA, and peripheral ghrelin treatment increases DA turnover, food intake and synapses connecting with DA cells in the VTA in mice (Abizaid et al., 2006a,b). Therefore, the midbrain has emerged as an important site for the integration of information about peripheral metabolic factors in the service of ingestive behavior regulation.
Appetitive Ingestive Behavior
It is typically assumed that if a substance applied to the brain affects food intake, it must function in the service of energy balance. One must also consider the possibility that these factors may have altogether different purposes for an animal in a naturalistic setting. It is unlikely that these other functions will be observed in laboratory experiments studying singly housed animals with unlimited food and few prospects for species-typical behaviors or opportunities for energy expenditure. For example, experimentally induced increases in food consumption in an individually housed animal may actually affect motivation that would stimulate foraging, hoarding, or hunting behavior in a more naturalistic setting. Experimentally induced decreases in hunger might increase mate searching, courtship, mating, nest building, incubation, migration, or hibernation. In nature, ingestive behavior must be balanced with other priorities such as predator avoidance, food availability, and copulation. Regardless of the animal model, experiments examining only consummatory ingestive behavior in isolated animals might support the idea that 40 or more redundant peptide systems regulate this one variable, food intake. Therefore, manipulations of environmentally relevant variables (e.g., nutrient availability) to determine how these affect the expression of appetitive behaviors (those other than food intake) are necessary to provide a more complete understanding about the neuroendocrine regulation of the motivation to eat.
Appetitive Behaviors: Indicators of Motivation
Ingestive behavior is multifaceted and cannot be accurately captured by measuring the amount of food consumed because swallowing is only one step in a long sequence of behaviors necessary for eating. Appetitive ingestive behaviors aim to ensure that sufficient energy will be available for future energetic needs (Craig, 1918; Everitt et al., 1984). Studying appetitive ingestive behaviors is the preeminent way to assess the internal motivation to consume food. Furthermore, the study of appetitive behaviors can provide information about how environmental factors such as nutrient availability impact behavioral priorities.
In certain well-designed experimental paradigms, appetitive behaviors are separable from consummatory behaviors, and the mechanisms underlying these two phases of ingestive behaviors can be studied separately. The significance of the separation of the appetitive and consummatory phases of ingestive behavior lies in the fact that the two phases are initiated by different environmental conditions via various neuroendocrine factors that act on separate neural substrates (reviewed by Ball and Balthazart, 2008). One of the clearest examples of the separate neuroendocrine regulation of these behavioral phases is the control of consummatory but not ingestive behaviors by the brain stem (Grill and Smith, 1988; Grill and Kaplan, 2001, 2002). This is skillfully illustrated in experiments showing that decerebrate rats have intact neuroendocrine regulation of intraoral food intake in the absence of the ability to express any appetitive behaviors (Grill and Kaplan, 1992, 2001, 2002; Grill and Hayes, 2009).
To understand the neuroendocrine mechanisms regulating appetitive ingestive behaviors and thus the motivation to eat, it is necessary to look beyond the commonly studied rats and mice to other animal models where appetitive behaviors such as food hoarding are separable from food consumption. While rats and mice typically increase food intake in response to fasting or food restriction (Ross and Smith, 1953; Hill et al., 1983, 1984), hamsters, like humans, reliably increase food hoarding instead of food intake in response to energetic challenges (Silverman and Zucker, 1976; Rowland, 1982; Billington et al., 1984; Bartness and Clein, 1994; Bartness et al., 1995). In fact, Homo sapiens, unlike rats and mice, do not typically overeat in response to food deprivation (reviewed by Bartness et al., 2011). People do, however, increase grocery shopping (foraging) and bring more food home (hoarding) in correlation with the length of time since their last meal (Dodd et al., 1977; Beneke and Davis, 1985; Mela et al., 1996). In addition, recent studies on overweight and obese children indicate that a significant proportion of them exhibit disturbances in eating behaviors that include sneaking, hiding and hoarding large quantities of food (Sonneville et al., 2013). Therefore, using a hamster model that responds to energetic challenges such as food deprivation with prolonged increases in food hoarding but not food intake permits the disentanglement of the mechanisms underlying appetitive and consummatory ingestive behaviors that are inextricably intertwined in other rodent models (for review see: Keen-Rhinehart et al., 2010; Bartness et al., 2011). Over the past two decades, studies using Siberian hamsters have thoroughly and systematically determined how appetitive ingestive behaviors are affected by fasting, diet dilution and lipectomy as well as treatment with orexigenic factors such as NPY, Y1R agonists, AgRP, and ghrelin and anorexigenic factors such as leptin, MT-II, CCK, and Y1R antagonists (Bartness and Clein, 1994; Bartness et al., 2011; Wood and Bartness, 1996a,b; Bartness, 1997; Day and Bartness, 2003, 2004; Day et al., 2005; Keen-Rhinehart and Bartness, 2005, 2007; Keen-Rhinehart et al., 2010; Teubner and Bartness, 2010; Teubner et al., 2012).
Appetitive Behavior Regulation: Beyond the Arcuate Perspective
As mentioned earlier, many investigators in the field of ingestive behavior consider the Arc to be the hub for the regulation of food intake. Therefore, initial experiments regarding the neuroendocrine mechanisms that regulate appetitive ingestive behaviors focused on this area as a starting point. As mentioned previously, food deprivation in Siberian hamsters causes large increases in food hoarding with little to no effects on food intake (Bartness and Clein, 1994; Bartness, 1997). The orexigenic hormone ghrelin is increased in response to food deprivation in hamsters, similarly to other animals (Ariyasu et al., 2001; Asakawa et al., 2001; Keen-Rhinehart and Bartness, 2005). When hamsters are treated with ghrelin at doses that produce circulating ghrelin concentrations similar to a 48 h fast, there is an initial, small increase in food intake followed by a massive, long-term increase in food hoarding behavior (Keen-Rhinehart and Bartness, 2005). We now know that both food deprivation and ghrelin stimulate Arc NPY and AgRP neurons (Hahn et al., 1998; Mercer et al., 2000), triggering the release of these orexigenic neuropeptides (Chen et al., 2004). As one would expect, central treatment with either of these orexigenic factors trigger marked increases in food hoarding with minimal increases in food intake [i.e., NPY (Day et al., 2005; Keen-Rhinehart and Bartness, 2005) and AgRP (Day and Bartness, 2004)]. Conversely, the anorexigenic hormone leptin is postulated to act on LepR-expressing hypothalamic neurons (Baskin et al., 1999; Elmquist, 2001) to reduce appetite by reducing expression of NPY and AgRP, and by increasing expression of anorexigenic neuropeptides like α-MSH (Baskin et al., 2001; Elmquist et al., 2005). In hamsters, central or peripheral treatment with leptin reduces fasting- and ghrelin-induced increases in food hoarding behavior (Keen-Rhinehart and Bartness, 2008).
Because the expression of appetitive and consummatory ingestive behaviors are separable in hamsters, the neural substrates controlling food hoarding should be at least partially distinct from those that govern food intake. Several studies provide data in support of that hypothesis. For example, in Siberian hamsters, Arc lesions diminish NPY-induced increases in food intake but not food hoarding (Dailey and Bartness, 2010), and studies using Y1R- and Y5R-specific agonists indicate that NPY increases food intake via action at the Y5 receptor but affects food hoarding by acting on the Y1 receptor (Keen-Rhinehart and Bartness, 2007). In addition, recent studies show that the pharmacological blockade of ghrelin activity attenuates, but cannot completely block, food deprivation-induced increases in food hoarding (Teubner and Bartness, 2013; Teubner et al., 2013).
While Siberian hamsters typically exhibit increases in food hoarding rather than food intake in response to energetic challenges, there is initially a small increase in food intake before the large increase in food hoarding behavior. Exploiting the fact that increases in food intake appear more rapidly than increases in food hoarding, Teubner et al., differentiated the brain areas activated concurrently with short-term increases in consummatory behavior from those activated later in conjunction with long-term increases in appetitive behavior (Teubner et al., 2012). Combined central NPY + AgRP injection was associated with increased food intake and neuronal activation of the PVN and perifornical area (pFA) within 1 h post-injection, but increased food hoarding and neuronal activation in the PVN, pFA, central nucleus of the amygdala (CeA) and the subzona incerta (SZI) were not detectible until 4–14 h post-injection. These data pinpoint two novel regulatory brain areas (CeA and SZI) that affect ingestive behavior. Despite the prevailing view that neurons in the Arc are critical for ingestive behavior, NPY + AgRP co-injection did not activate Arc neurons at any time when increased food hoarding was observed.
This study also demonstrated that co-injection of sub-threshold doses of NPY and AgRP increases food hoarding in Siberian hamsters, suggesting that there is a significant intercellular interaction between these two neuropeptides occurring as part of the regulation of food hoarding. Because AgRP is known to cause long-term increases in food hoarding, AgRP may be providing synergistic effects on NPY-induced food hoarding in the CeA and SZI (Teubner et al., 2012), brain areas with Y1 as well as MC4 receptors (Lyons and Thiele, 2010).
Role of the HPA Axis in the Regulation of Appetitive Ingestive Behaviors
A great deal of research has been conducted on the effects of CRH on consummatory ingestive behavior, all suggesting that CRH is anorexigenic. Comparatively little has been done to determine how CRH or other HPA axis factors affect appetitive ingestive behaviors. Food deprivation decreases hypothalamic CRH mRNA expression in several animal species (Brady et al., 1990; Glowa et al., 1992). In studies in which hunger motivation is taken as the body weight loss that produces significant increases in food hoarding, hunger motivation is decreased by adrenalectomy and CRH treatment and increased by low doses of glucocorticoids, fasting, and low temperatures (Fantino and Cabanac, 1984; Cabanac and Richard, 1995; Cabanac et al., 1997; Gosselin and Cabanac, 1997; Michel and Cabanac, 1999). Studies in rats and primates seem to indicate that CRH mediates a shift away from ingestive behaviors, affecting appetitive behaviors at lower doses than those at which food intake is impacted. In addition, studies in anuran amphibians (toads) show that CRH treatment inhibits the appetitive behavior of foraging by impairing the efficiency of visual stimuli to stimulate prey-catching behavior (Carr et al., 2002). This might be adaptive if, in the presence of a predator, the hypothalamic stress response prevents the toads from engaging in appetitive ingestive behaviors that would make them an easy target. There is also some indication that the ability of leptin to prevent fasting-induced increases in ingestive behavior is due in part to activation of central CRH circuits (van Dijk et al., 1997). Although the connection between the HPA axis and appetitive ingestive behaviors has not been studied extensively in the hamster model of food hoarding, such studies are likely to yield a great deal of useful information on the nexus between stress and ingestive behavior.
Reward Circuits and the Regulation of Appetitive Ingestive Behavior
Food intake is a motivated behavior, and animals find food, especially highly palatable, calorically dense food, rewarding. Therefore, when examining the motivation to engage in ingestive behaviors, it is necessary to consider how reward circuits influence the expression of appetitive ingestive behaviors. Studies in Mongolian gerbils (Meriones unguiculatus) show that the act of hoarding food increases the activation of tyrosine hydroxylase (TH)-containing cells in the nucleus accumbens, VTA, and LHA (Yang et al., 2011). TH is the rate-limiting enzyme in the chemical process of dopamine synthesis. In addition, both Mongolian gerbils and Brandt's voles (Lasiopodomys brandtii) that are consistent food hoarders exhibit food deprivation-induced increases in food hoarding along with cellular activation in the VTA (Yang et al., 2011; Zhang et al., 2011). The association between the activation of DA neurons in the VTA with food hoarding suggests that animals with the propensity to hoard food or with previous food hoarding experience are likely to find food hoarding especially rewarding or reinforcing. Obviously, this, like the connection between the HPA axis and ingestive behavior regulation, is greatly in need of further investigation.
Gestational Programming of Ingestive Behavior
The relatively recent, rapid increase in the prevalence of obesity has been attributed by some to environmental factors, including the availability of highly palatable foods and “modern” lifestyles involving less physical work, all of which have created an “obesogenic” environment. It is also possible that characteristics of the prenatal environment initiate organizational effects of hormones that modulate neuroendocrine development to produce optimal adaptation of energy balance and ingestive behavior to the anticipated postnatal environment. Several different synonyms are used to describe the process by which changes in the mother's environment lead to changes in fetal development that have permanent effects in the offspring: gestational, fetal, or maternal programming, or metabolic imprinting. Examples of factors in the mother that influence metabolism in offspring include maternal food restriction, caloric, fat, carbohydrate or protein content of food, non-nutritional stress, and nutritional status of the mother (reviewed by Armitage et al., 2004). In Homo sapiens, prenatal undernutrition leads to low birth weight (LBW) babies who are prone to develop metabolic syndrome, insulin resistance, and obesity as adults (Hales and Barker, 2001; Cripps et al., 2005). This relationship between LBW and later development of obesity and metabolic syndrome has been replicated in many diverse populations around the world (Hales and Barker, 2001; Gluckman et al., 2005). In addition, rapid neonatal catch-up growth caused by excessive appetite during the neonatal period acts as an additional risk factor that further increases the risk of obesity (Hales and Barker, 2001; Gluckman et al., 2005; Vickers, 2007; Vickers et al., 2007). Because formula-fed infants typically have an accelerated initial growth rate, formula feeding also increases the risk for becoming obese or overweight (Baird et al., 2005; Harder et al., 2005; Vickers, 2007; Vickers et al., 2007). The relationship between LBW and the later development of obesity and metabolic syndrome has been replicated animal models such as the rat, mouse, pig, sheep and guinea pig (for review see Hales and Barker, 2001; Cripps et al., 2005; Gluckman et al., 2005). Interestingly, maternal obesity during pregnancy and gestational diabetes can also lead to offspring obesity (Muhlhausler, 2007; Shankar et al., 2008).
From an ecological point of view, these maternal programming effects might be adaptive (that is, they might improve offspring survival and reproductive success) or maladaptive. One hypothesis is that changes in maternal energy status generate signals in utero to communicate reduced energy availability. These signals purportedly prepare the offspring for a postnatal environment with a low or unpredictable food supply. According to this idea, the maternal environment organizes energy balance and the central appetite regulatory circuits so that the offspring will develop traits that will allow them to cope with that particular environment (Gonzalez-Bulnes and Ovilo, 2012). A commonly reported phenomenon in mice, rats, sheep and primates is that LBW offspring have a propensity toward hyperphagia, efficient metabolism, and an increased inclination to store energy on the body as body fat (Cripps et al., 2005). These same animals might be better adapted to survive in an environment where food supply is low or unpredictable. In an environment of energy abundance, however, they are likely to develop metabolic syndrome and obesity.
Gestational Programming of Consummatory Ingestive Behavior
As mentioned previously, impaired prenatal nutrition causes offspring hyperphagia and obesity. Given the pervasive nature of the “Arcuate perspective” on the control of ingestive behavior, most studies on the gestational programming of appetite have focused on the effects of prenatal nutrient availability on orexigenic (i.e., ghrelin, NPY, and AgRP) and anorexigenic (leptin and α-MSH) neuroendocrine factors. For instance, the stomach-derived orexigenic hormone ghrelin is elevated at birth in LBW offspring (Wang et al., 2007; Sahin et al., 2012) and continues to be elevated into adulthood (Sahin et al., 2012). LBW offspring typically exhibit rapid catch-up growth facilitated by enhanced appetite shortly after birth (Coupe et al., 2010; Breton, 2013). Therefore, increased postnatal ghrelin likely plays a role in the rapid catch-up growth observed in most models of gestational programming. In rodents, 50% maternal food restriction during the second half of gestation results in LBW pups that, like human LBW infants, have significantly increased ghrelin expression (Cortelazzi et al., 2003; Nagata et al., 2011). These animals develop hyperphagia and obesity and demonstrate that catch-up growth among LBW offspring results in programmed elevation of plasma ghrelin levels (reviewed by Breton, 2013). Arc NPY and AgRP neurons in hypothalamic slices from adult nutrient-restricted offspring are more sensitive to the stimulatory effects of ghrelin, which could indicate how LBW offspring maintain elevated expression of ingestive behavior throughout their lifespan (Yousheng et al., 2008). Together, these results suggest that appetite regulatory circuits can be gestationally programmed to favor hyperphagia and storage of energy as fat by developmental conditions that produce LBW offspring.
One of the hypothesized mechanisms for long-term changes in the neuroendocrine regulation of ingestive behavior is an alteration in hormonal milieu at critical periods of development. As mentioned above, circulating ghrelin concentrations are elevated in LBW offspring. In addition, leptin functions perinatally as a neurotrophic factor to facilitate the development of the neural circuits that govern metabolism, adipose tissue distribution and ingestive behavior (reviewed by Cottrell and Ozanne, 2007, 2008; Breton, 2013). In rats and mice, there is a surge in plasma leptin concentration during postnatal days (PND) 4–12 (Ahima et al., 1998; Delahaye et al., 2008; Cottrell et al., 2009), the time when connections between hypothalamic neurons are developing and leptin has no effect on appetite (Ahima and Flier, 2000). Rodents exposed to reduced nutrient availability have reduced circulating leptin concentrations and increased hypothalamic LepR protein expression at birth (Cottrell et al., 2010; Coupe et al., 2010), as well as a delayed and/or reduced leptin surge, which results in permanent changes in hypothalamic ingestive behavior regulatory circuits (Gluckman et al., 2005; Bautista et al., 2008). Recent studies provide further convincing evidence that leptin specifically promotes the development of Arc neuronal projections, consistent with a role in brain development. Arc projections in mice are formed primarily during the second week of postnatal life (reviewed by Ahima and Flier, 2000), developmentally similar to human third trimester of pregnancy. In leptin deficient (ob/ob) mice, these projection pathways regulating appetite are permanently disrupted, causing Arc axonal densities one third to one fourth that of controls (reviewed by Ahima and Flier, 2000). Reduced gestational nutrient availability permanently impairs the development and connectivity of hypothalamic neurons that produce anorectic neuropeptides such as α-MSH and orexigenic neuropeptides such as NPY and AgRP from weaning through adulthood (Muhlhausler et al., 2006; Delahaye et al., 2008; Coupe et al., 2010). Gestationally-restricted offspring also display resistance to the anorectic effects of peripheral leptin treatment in adulthood (reviewed by Breton, 2013). Therefore, leptin appears to be a critical factor for the gestational programming of appetite regulatory circuits as well.
Alterations in the Arc appetite regulatory network that increase production of and sensitivity to orexigenic agents such as NPY are clearly important for the programmed hyperphagia that occurs in response to perinatal nutritional perturbations. As mentioned above, the complex nature of ingestive behavior regulation makes is highly unlikely that just focusing on the Arc will be sufficient to explain all the effects of gestational nutrient restriction on appetite regulation. Alterations in dopamine expression in the VTA may also be critically important because the reward system is likely also to have gestationally programmed changes that may influence ingestive behavior regulation. For example, female LBW rats are more likely than non-restricted offspring to binge on sucrose when it is presented intermittently for limited amounts of time (unpublished observation). Therefore, further research into the contribution of reward circuitry to the mechanisms of gestational programming of appetite is clearly warranted.
A plethora of data supports the hypothesis that perinatal nutritional disturbances majorly contribute to the development of adult obesity by altering appetite regulation to favor hyperphagia. This complex system of neuroendocrine factors undergoes a short period of plasticity during development when the nutritional environment programs this system to maximize an organism's chances for survival in its anticipated postnatal environment. Several rodent models have been used to study the mechanisms responsible for perinatal appetite programming, including the maternal food restriction, low protein, lactational overnutrition, gestational diabetes, and high fat diet during pregnancy. Currently, there is not a validated model for the study of gestational programming on appetitive ingestive behaviors.
Appetitive Ingestive Behaviors
Hamsters have several unique characteristics that make them ideal for studying the gestational programming of the regulation of appetitive ingestive behaviors, including the fact that hamsters utilize food hoarding as a significant part of their natural ingestive behavioral repertoire, and, unlike rats, hamsters do not overeat after energetic challenges such as food deprivation and pregnancy (Silverman and Zucker, 1976; Rowland, 1982; Billington et al., 1984; Bartness and Clein, 1994; Bartness et al., 1995). As mentioned above, the effects of gestational nutrient availability on appetitive ingestive behaviors have yet to be studied. Therefore, we recently endeavored to create a model of gestational programming in the hamster. In this model, pregnant hamsters are provided with daily food rations equal to pre-pregnancy intake, preventing maternal food hoarding, a behavior naturally enhanced during the last half of pregnancy. Interestingly, male offspring of restricted mothers exhibit hyperphagia and increased Arc NPY as well as decreased hoarding behavior (unpublished observations). Further characterization of this exciting new model of gestational programming should provide additional insights into the effects of prenatal environment on the neuroendocrine regulation of appetitive ingestive behaviors.
Summary and Conclusions
Obesity rates are on the rise worldwide, and research into the neuroendocrine regulation of appetitive ingestive behavior is likely to provide new information about how animals maintain energy balance in their native settings and how to combat the obesity epidemic. Fluctuating food supply has been a threat to survival and a determinant of reproductive success for most animals, including humans (Prentice, 2005; Schneider, 2006). Selection pressures resulting from frequent bouts of famine in the evolutionary history of most organisms favors a “thrifty,” a.k.a., metabolically efficient phenotype to increase the likelihood of reproductive success in an environment with a variable food supply (Prentice, 2005; Schneider, 2006). The overabundance of highly palatable, easily accessible food sources present in the human environment in developed countries has turned these adaptations into health liabilities. Unfortunately, the list of neuropeptides that “regulate” appetite is now overwhelming, and most ingestive behavior research continues to focus on the hypothalamic Arc nucleus as the command center for appetite regulation (reviewed by Barsh and Schwartz, 2002; Zigman and Elmquist, 2003; Schwartz and Porte, 2005).
Ingestive behavior regulation is far more complex than can be explained by studies conducted solely on the Arc nucleus. In addition, the study of the neuroendocrine regulation of appetitive behaviors provides clues to the mechanisms responsible for the motivation to eat. This review seeks to demonstrate that while hypothalamic appetite regulatory circuits are important for the control of both appetitive and consummatory ingestive behaviors, it is necessary to think more broadly than the “Arc perspective” by including systems such as the caudal hindbrain, the HPA axis and central reward circuitry to provide a more complete picture of neuroendocrine regulation of ingestive behavior.
Since the creation of the thrifty phenotype hypothesis by Neel in (1962), the maternal programming hypothesis of Jones et al. in (1984), and it's reiteration by Barker in (1994), understanding how nutrient availability during critical periods of development affects offspring appetite and energy balance has been a major focus of obesity research (Jones et al., 1984; Barker, 1994; Neel, 1999). A great deal of research has been done to characterize the effects of reduced perinatal nutrient availability on offspring consummatory ingestive behavior. Although research has not previously been conducted to determine how appetitive ingestive behaviors are impacted by maternal nutrient availability, future studies using hamsters as an animal model may provide critical information on the gestational programming of neuroendocrine systems that regulate feeding motivation.
Conflict of Interest Statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
References
Abizaid, A. (2009). Ghrelin and dopamine: new insights on the peripheral regulation of appetite. J. Neuroendocrinol. 21, 787–793. doi: 10.1111/j.1365-2826.2009.01896.x
Abizaid, A., Gao, Q., and Horvath, T. L. (2006a). Thoughts for food: brain mechanisms and peripheral energy balance. Neuron 51, 691–702. doi: 10.1016/j.neuron.2006.08.025
Abizaid, A., Liu, Z. W., Andrews, Z. B., Shanabrough, M., Borok, E., Elsworth, J. D., et al. (2006b). Ghrelin modulates the activity and synaptic input organization of midbrain dopamine neurons while promoting appetite. J. Clin. Invest. 116, 3229–3239. doi: 10.1172/JCI29867
Abizaid, A., and Horvath, T. L. (2012). Ghrelin and the central regulation of feeding and energy balance. Indian J. Endocrinol. Metab. 16, S617–S626. doi: 10.4103/2230-8210.105580
Ahima, R. S., and Flier, J. S. (2000). Adipose tissue as an endocrine organ. Trends Endocrinol. Metab. 11, 327–332. doi: 10.1016/S1043-2760(00)00301-5
Ahima, R. S., Prabakaran, D., and Flier, J. S. (1998). Postnatal leptin surge and regulation of circadian rhythm of leptin by feeding. Implications for energy homeostasis and neuroendocrine function. J. Clin. Invest. 101, 1020–1027. doi: 10.1172/JCI1176
Ariyasu, H., Takaya, K., Tagami, T., Ogawa, Y., Hosoda, K., Akamizu, T., et al. (2001). Stomach is a major source of circulating ghrelin, and feeding state determines plasma ghrelin-like immunoreactivity levels in humans. J. Clin. Endocrinol. Metab. 86, 4753–4758. doi: 10.1210/jc.86.10.4753
Armitage, J. A., Khan, I. Y., Taylor, P. D., Nathanielsz, P. W., and Poston, L. (2004). Developmental programming of the metabolic syndrome by maternal nutritional imbalance: how strong is the evidence from experimental models in mammals? J. Physiol. 561, 355–377. doi: 10.1113/jphysiol.2004.072009
Asakawa, A., Inui, A., Kaga, T., Yuzuriha, H., Nagata, T., Ueno, N., et al. (2001). Ghrelin is an appetite-stimulatory signal from stomach with structural resemblance to motilin. Gastroenterology 120, 337–345. doi: 10.1053/gast.2001.22158
Baird, J., Fisher, D., Lucas, P., Kleijnen, J., Roberts, H., and Law, C. (2005). Being big or growing fast: systematic review of size and growth in infancy and later obesity. BMJ 331, 929. doi: 10.1136/bmj.38586.411273.E0
Ball, G. F., and Balthazart, J. (2008). How useful is the appetitive and consummatory distinction for our understanding of the neuroendocrine control of sexual behavior? Horm. Behav. 53, 307–311. doi: 10.1016/j.yhbeh.2007.09.023
Barsh, G. S., and Schwartz, M. W. (2002). Genetic approaches to studying energy balance: perception and integration. Nat. Rev. Genet. 3, 589–600. doi: 10.1038/nrg862
Bartness, T. J. (1997). Food hoarding is increased by pregnancy, lactation and food deprivation in Siberian hamsters. Am. J. Physiol. 272, R118–R125.
Bartness, T. J., and Clein, M. R. (1994). Effects of food deprivation and restriction, and metabolic blockers on food hoarding in Siberian hamsters. Am. J. Physiol. 266, R1111–R1117.
Bartness, T. J., Keen-Rhinehart, E., Dailey, M. J., and Teubner, B. J. (2011). Neural and hormonal control of food hoarding. Am. J. Physiol. Regul. Integr. Comp. Physiol. 301, R641–R655. doi: 10.1152/ajpregu.00137.2011
Bartness, T. J., Morley, J. E., and Levine, A. S. (1995). Effects of food deprivation and metabolic fuel utilization on the photoperiodic control of food intake in Siberian hamsters. Physiol. Behav. 57, 61–68. doi: 10.1016/0031-9384(94)00203-H
Baskin, D. G., Blevins, J. E., and Schwartz, M. W. (2001). How the brain regulates food intake and body weight: the role of leptin. J Pediatr. Endocrinol. Metab. 14(Suppl. 6), 1417–1429.
Baskin, D. G., Hahn, T. M., and Schwartz, M. W. (1999). Leptin sensitive neurons in the hypothalamus. Horm. Metab. Res. 31, 345–350. doi: 10.1055/s-2007-978751
Bautista, C. J., Boeck, L., Larrea, F., Nathanielsz, P. W., and Zambrano, E. (2008). Effects of a maternal low protein isocaloric diet on milk leptin and progeny serum leptin concentration and appetitive behavior in the first 21 days of neonatal life in the rat. Pediatr. Res. 63, 358–363. doi: 10.1203/01.pdr.0000304938.78998.21
Beneke, W. M., and Davis, C. H. (1985). Relationship of hunger, use of a shopping list and obesity to food purchases. Int. J. Obes. 9, 391–399.
Bergonzelli, G. E., Pralong, F. P., Glauser, M., Cavadas, C., Grouzmann, E., and Gaillard, R. C. (2001). Interplay between galanin and leptin in the hypothalamic control of feeding via corticotropin-releasing hormone and neuropeptide Y. Diabetes 50, 2666–2672. doi: 10.2337/diabetes.50.12.2666
Billington, C. J., Morley, J. E., Levine, A. S., and Gerritsen, G. C. (1984). Feeding systems in Chinese hamsters. Am. J. Physiol. 247, R405–R411.
Brady, L. S., Smith, M. A., Gold, P. W., and Herkenham, M. (1990). Altered expression of hypothalamic neuropeptide mRNAs in food-restricted and food-deprived rats. Neuroendocrinology 52, 441–447. doi: 10.1159/000125626
Bray, G. A., Stern, J. S., and Castonguay, T. W. (1992). Effect of adrenalectomy and high-fat diet on the fatty Zucker rat. Am. J. Physiol. 262, E32–E39.
Breton, C. (2013). The hypothalamus-adipose axis is a key target of developmental programming by maternal nutritional manipulation. J. Endocrinol. 216, R19–R31. doi: 10.1530/JOE-12-0157
Briggs, D. I., and Andrews, Z. B. (2011). Metabolic status regulates ghrelin function on energy homeostasis. Neuroendocrinology 93, 48–57. doi: 10.1159/000322589
Bruce, B. K., King, B. M., Phelps, G. R., and Veitia, M. C. (1982). Effects of adrenalectomy and corticosterone administration on hypothalamic obesity in rats. Am. J. Physiol. 243, E152–E157.
Buckley, C. A., and Schneider, J. E. (2003). Food hoarding is increased by food deprivation and decreased by leptin treatment in Syrian hamsters. Am. J. Physiol. Regul. Integr. Comp. Physiol. 285, R1021–R1029. doi: 10.1152/ajpregu.00488.2002
Caballero, B. (2007). The global epidemic of obesity: an overview. Epidemiol. Rev. 29, 1–5. doi: 10.1093/epirev/mxm012
Cabanac, M., Dagnault, A., and Richard, D. (1997). The food-hoarding threshold is not raised by acute intraventricular NPY in male rats. Physiol. Behav. 61, 131–135. doi: 10.1016/S0031-9384(97)00349-1
Cabanac, M., and Richard, D. (1995). Acute intraventricular CRF lowers the hoarding threshold in male rats. Physiol. Behav. 57, 705–710. doi: 10.1016/0031-9384(94)00322-X
Carr, J. A. (2002). Stress, neuropeptides, and feeding behavior: a comparative perspective. Integr. Comp. Biol. 42, 582–590. doi: 10.1093/icb/42.3.582
Carr, J. A., Brown, C. L., Mansouri, R., and Venkatesan, S. (2002). Neuropeptides and amphibian prey-catching behavior. Comp. Biochem. Physiol. B Biochem. Mol. Biol. 132, 151–162. doi: 10.1016/S1096-4959(01)00545-0
Chen, H. Y., Trumbauer, M. E., Chen, A. S., Weingarth, D. T., Adams, J. R., Frazier, E. G., et al. (2004). Orexigenic action of peripheral ghrelin is mediated by neuropeptide Y and agouti-related protein. Endocrinology 145, 2607–2612. doi: 10.1210/en.2003-1596
Cone, R. D., Cowley, M. A., Butler, A. A., Fan, W., Marks, D. L., and Low, M. J. (2001). The arcuate nucleus as a conduit for diverse signals relevant to energy homeostasis. Int. J. Obes. Relat. Metab. Disord. 25(Suppl. 5), S63–S67. doi: 10.1038/sj.ijo.0801913
Coppari, R., Ichinose, M., Lee, C. E., Pullen, A. E., Kenny, C. D., McGovern, R. A., et al. (2005). The hypothalamic arcuate nucleus: a key site for mediating leptin's effects on glucose homeostasis and locomotor activity. Cell Metab. 1, 63–72. doi: 10.1016/j.cmet.2004.12.004
Cortelazzi, D., Cappiello, V., Morpurgo, P. S., Ronzoni, S., Nobile De Santis, M. S., Cetin, I., et al. (2003). Circulating levels of ghrelin in human fetuses. Eur. J. Endocrinol. 149, 111–116. doi: 10.1530/eje.0.1490111
Cottrell, E. C., Cripps, R. L., Duncan, J. S., Barrett, P., Mercer, J. G., Herwig, A., et al. (2009). Developmental changes in hypothalamic leptin receptor: relationship with the postnatal leptin surge and energy balance neuropeptides in the postnatal rat. Am. J. Physiol. Regul. Integr. Comp. Physiol. 296, R631–R639. doi: 10.1152/ajpregu.90690.2008
Cottrell, E. C., Mercer, J. G., and Ozanne, S. E. (2010). Postnatal development of hypothalamic leptin receptors. Vitam. Horm. 82, 201–217. doi: 10.1016/S0083-6729(10)82011-4
Cottrell, E. C., and Ozanne, S. E. (2007). Developmental programming of energy balance and the metabolic syndrome. Proc. Nutr. Soc. 66, 198–206. doi: 10.1017/S0029665107005447
Cottrell, E. C., and Ozanne, S. E. (2008). Early life programming of obesity and metabolic disease. Physiol. Behav. 94, 17–28. doi: 10.1016/j.physbeh.2007.11.017
Coupe, B., Amarger, V., Grit, I., Benani, A., and Parnet, P. (2010). Nutritional programming affects hypothalamic organization and early response to leptin. Endocrinology 151, 702–713. doi: 10.1210/en.2009-0893
Craig, W. (1918). Appetites and aversions as constituents of instincts. Biol. Bull. 34, 91–107. doi: 10.2307/1536346
Cripps, R. L., Martin-Gronert, M. S., and Ozanne, S. E. (2005). Fetal and perinatal programming of appetite. Clin. Sci. (Lond) 109, 1–11. doi: 10.1042/CS20040367
Dailey, M. J., and Bartness, T. J. (2010). Arcuate nucleus destruction does not block food deprivation-induced increases in food foraging and hoarding. Brain Res. 1323, 94–108. doi: 10.1016/j.brainres.2010.01.078
Dallman, M. F., la Fleur, S. E., Pecoraro, N. C., Gomez, F., Houshyar, H., and Akana, S. F. (2004). Minireivew: glucocorticoids – food intake, abdominal obesity and wealthy nations in 2004. Endocrinology 145, 2633–2638. doi: 10.1210/en.2004-0037
Dallman, M. F., Strack, A. M., Akana, S. F., Bradbury, M. J., Hanson, E. S., Scribner, K. A., et al. (1993). Feast and famine: critical role of glucocorticoids with insulin in daily energy flow. Front. Neuroendocinol. 14, 303–347. doi: 10.1006/frne.1993.1010
Day, D. E., and Bartness, T. J. (2003). Fasting-induced increases in hoarding are dependent on the foraging effort level. Physiol. Behav. 78, 655–668. doi: 10.1016/S0031-9384(03)00052-0
Day, D. E., and Bartness, T. J. (2004). Agouti-related protein increases food hoarding, but not food intake by Siberian hamsters. Am. J. Physiol. 286, R38–R45. doi: 10.1152/ajpregu.00284.2003
Day, D. E., Keen-Rhinehart, E., and Bartness, T. J. (2005). Role of NPY and its receptor subtypes in foraging, food hoarding and food intake by Siberian hamsters. Am. J. Physiol. 289, R29–R36. doi: 10.1152/ajpregu.00853.2004
Delahaye, F., Breton, C., Risold, P. Y., Enache, M., Dutriez-Casteloot, I., Laborie, C., et al. (2008). Maternal perinatal undernutrition drastically reduces postnatal leptin surge and affects the development of arcuate nucleus proopiomelanocortin neurons in neonatal male rat pups. Endocrinology 149, 470–475. doi: 10.1210/en.2007-1263
Dhillon, H., Zigman, J. M., Ye, C., Lee, C. E., McGovern, R. A., Tang, V., et al. (2006). Leptin directly activates SF1 neurons in the VMH, and this action by leptin is required for normal body-weight homeostasis. Neuron 49, 191–203. doi: 10.1016/j.neuron.2005.12.021
Dodd, D. K., Stalling, R. B., and Bedell, J. (1977). Grocery purchases as a function of obesity and assumed food deprivation. Int. J. Obes. 1, 43–47.
Eckel, L. A. (2011). The ovarian hormone estradiol plays a crucial role in the control of food intake in females. Physiol. Behav. 104, 517–524. doi: 10.1016/j.physbeh.2011.04.014
Ellacott, K. L., and Cone, R. D. (2004). The central melanocortin system and the integration of short- and long-term regulators of energy homeostasis. Recent Prog. Horm. Res. 59, 395–408. doi: 10.1210/rp.59.1.395
Elmquist, J. K. (2001). Hypothalamic pathways underlying the endocrine, autonomic, and behavioral effects of leptin. Int. J. Obes. Relat. Metab. Disord. 25(Suppl. 5), S78–S82. doi: 10.1038/sj.ijo.0801918
Elmquist, J. K., Coppari, R., Balthasar, N., Ichinose, M., and Lowell, B. B. (2005). Identifying hypothalamic pathways controlling food intake, body weight, and glucose homeostasis. J. Comp. Neurol. 493, 63–71. doi: 10.1002/cne.20786
Epstein, L. H., Dearing, K. K., Paluch, R. A., Roemmich, J. N., and Cho, D. (2007). Price and maternal obesity influence purchasing of low- and high-energy-dense foods. Am. J. Clin. Nutr. 86, 914–922.
Everitt, B. J., Hokfelt, T., Terenius, L., Tatemoto, K., Mutt, V., and Goldstein, M. (1984). Differential co-existence of neuropeptide Y (NPY)-like immunoreactivity with catecholamines in the central nervous system of the rat. Neuroscience 11, 443–462. doi: 10.1016/0306-4522(84)90036-8
Fantino, M., and Cabanac, M. (1984). Effect of a cold ambient temperature on the rat's food hoarding behavior. Physiol. Behav. 32, 183–190. doi: 10.1016/0031-9384(84)90127-6
Faulconbridge, L. F., Grill, H. J., and Kaplan, J. M. (2005). Distinct forebrain and caudal brainstem contributions to the neuropeptide Y mediation of ghrelin hyperphagia. Diabetes 54, 1985–1993. doi: 10.2337/diabetes.54.7.1985
Feldkircher, K. M., Mistry, A. M., and Romsos, D. R. (1996). Adrenalectomy reverses pre-existing obesity in adult genetically obese (ob/ob) mice. Int. J. Obes. Relat. Metab. Disord. 20, 232–235.
Fulton, S., Pissios, P., Manchon, R. P., Stiles, L., Frank, L., Pothos, E. N., et al. (2006). Leptin regulation of the mesoaccumbens dopamine pathway. Neuron 51, 811–822. doi: 10.1016/j.neuron.2006.09.006
Fulton, S., Richard, D., Woodside, B., and Shizgal, P. (2002). Interaction of CRH and energy balance in the modulation of brain stimulation reward. Behav. Neurosci. 116, 651–659. doi: 10.1037/0735-7044.116.4.651
Gao, Q., Mezei, G., Nie, Y., Choi, C. S., Bechmann, I., Leranth, C., et al. (2007). Anorectic estrogen mimics leptin's effect on the rewiring of melanocortins cells and Stat3 signaling in obese animals. Nat. Med. 13, 89–94. doi: 10.1038/nm1525
Glowa, J. R., Barrett, J. E., Russell, J., and Gold, P. W. (1992). Effects of corticotropin releasing hormone on appetitive behaviors. Peptides 13, 609–621. doi: 10.1016/0196-9781(92)90097-M
Gluckman, P. D., Hanson, M. A., and Pinal, C. (2005). The developmental origins of adult disease. Matern. Child Nutr. 1, 130–141. doi: 10.1111/j.1740-8709.2005.00020.x
Gonzalez-Bulnes, A., and Ovilo, C. (2012). Genetic basis, nutritional challenges and adaptive responses in the prenatal origin of obesity and type-2 diabetes. Curr. Diabetes Rev. 8, 144–154. doi: 10.2174/157339912799424537
Gosselin, C., and Cabanac, M. (1997). Adrenalectomy lowers the body weight set-point in rats. Physiol. Behav. 62, 519–523. doi: 10.1016/S0031-9384(97)00010-3
Grill, H. J. (2010). Leptin and the systems neuroscience of meal size control. Front. Neuroendocrinol. 31, 61–78. doi: 10.1016/j.yfrne.2009.10.005
Grill, H. J., and Hayes, M. R. (2009). The nucleus tractus solitarius: a portal for visceral afferent signal processing, energy status assessment and integration of their combined effects on food intake. Int. J. Obes. (Lond) 33, S11–S15. doi: 10.1038/ijo.2009.10
Grill, H. J., and Kaplan, J. M. (1992). Sham feeding in intact and chronic decerebrate rats. Am. J. Physiol. 262, R1070–R1074.
Grill, H. J., and Kaplan, J. M. (2001). Interoceptive and integrative contributions of forebrain and brainstem to energy balance control. Int. J. Obes. Relat. Metab. Disord. 25(Suppl. 5), S73–S77. doi: 10.1038/sj.ijo.0801917
Grill, H. J., and Kaplan, J. M. (2002). The neuroanatomical axis for control of energy balance. Front. Neuroendocrinol. 23, 2–40. doi: 10.1006/frne.2001.0224
Grill, H. J., and Smith, G. P. (1988). Cholecystokinin decreases sucrose intake in chronic decerebrate rats. Am. J. Physiol. 254, R853–R856.
Gyengesi, E., Liu, W., D'Agostino, G., Gan, G., Horvath, T. L., Gao, X. B., et al. (2010). Corticosterone regulates synaptic input organization of POMC and NPY/AgRP neurons in adult mice. Endocrinology 151, 5395–5402. doi: 10.1210/en.2010-0681
Hahn, T. M., Breininger, J. F., Baskin, D. G., and Schwartz, M. W. (1998). Coexpression of Agrp and NPY in fasting-activated hypothalamic neurons. Nat. Neurosci. 1, 271–272. doi: 10.1038/1082
Hales, C. N., and Barker, D. J. (2001). The thrifty phenotype hypothesis. Br. Med. Bull. 60, 5–20. doi: 10.1093/bmb/60.1.5
Harder, T., Bergmann, R., Kallischnigg, G., and Plagemann, A. (2005). Duration of breastfeeding and risk of overweight: a meta-analysis. Am. J. Epidemiol. 162, 397–403. doi: 10.1093/aje/kwi222
Haslam, D. (2007). Obesity: a medical history. Obes. Rev. 8(Suppl. 1), 31–36. doi: 10.1111/j.1467-789X.2007.00314.x
Heinrichs, S. C., and Richard, D. (1999). The role of corticotropin-releasing factor and urocortin in the modulation of ingestive behavior. Neuropeptides 33, 350–359. doi: 10.1054/npep.1999.0047
Hill, J. O., Fried, S. K., and DiGirolamo, M. (1983). Effects of a high-fat diet on energy intake and expenditure in rats. Life Sci. 33, 141–149. doi: 10.1016/0024-3205(83)90406-X
Hill, J. O., Fried, S. K., and DiGirolamo, M. (1984). Effects of fasting and restricted refeeding on utilization of ingested energy in rats. Am. J. Physiol. 247, R318–R327.
Hirasawa, M., Parsons, M. P., and Alberto, C. O. (2007). Interaction between orexins and the mesolimbic system for overriding satiety. Rev. Neurosci. 18, 383–393. doi: 10.1515/REVNEURO.2007.18.5.383
Hommel, J. D., Trinko, R., Sears, R. M., Georgescu, D., Liu, Z. W., Gao, X. B., et al. (2006). Leptin receptor signaling in midbrain dopamine neurons regulates feeding. Neuron 51, 801–810. doi: 10.1016/j.neuron.2006.08.023
Jones, A. P., Simson, E. L., and Friedman, M. I. (1984). Gestational undernutrition and the development of obesity in rats. J. Nutr. 114, 1484–1492.
Kageyama, H., Takenoya, F., Hirako, S., Wada, N., Kintaka, Y., Inoue, S., et al. (2012). Neuronal circuits involving neuropeptide Y in hypothalamic arcuate nucleus-mediated feeding regulation. Neuropeptides 46, 285–289. doi: 10.1016/j.npep.2012.09.007
Kalra, S. P., Dube, M. G., Shuye, P., Bin, X., Horvath, T. L., and Kalra, P. S. (1999). Interacting appetite-regulating pathways in the hypothalamic regulation of body weight. Endocrine Rev. 20, 68–100. doi: 10.1210/er.20.1.68
Karolyi, I. J., Burrows, H. L., Ramesh, T. M., Nakajima, M., Lesh, J. S., Seong, E., et al. (1999). Altered anxiety and weight gain in corticotropin-releasing hormone-binding protein-deficient mice. Proc. Natl. Acad. Sci. U.S.A. 96, 11595–11600. doi: 10.1073/pnas.96.20.11595
Keen-Rhinehart, E., and Bartness, T. J. (2005). Peripheral ghrelin injections stimulate food intake, foraging and food hoarding in Siberian hamsters. Am. J. Physiol. 288, R716–R722. doi: 10.1152/ajpregu.00705.2004
Keen-Rhinehart, E., and Bartness, T. J. (2007). NPY Y1 receptor is involved in ghrelin- and fasting-induced increases in foraging, food hoarding, and food intake. Am. J. Physiol. Regul. Integr. Comp. Physiol. 292, R1728–R1737. doi: 10.1152/ajpregu.00597.2006
Keen-Rhinehart, E., and Bartness, T. J. (2008). Leptin inhibits food-deprivation-induced increases in food intake and food hoarding. Am. J. Physiol. Regul. Integr. Comp. Physiol. 295, R1737–R1746. doi: 10.1152/ajpregu.90512.2008
Keen-Rhinehart, E., Dailey, M. J., and Bartness, T. (2010). Physiological mechanisms for food-hoarding motivation in animals. Philos. Trans. R. Soc. Lond. B Biol. Sci. 365, 961–975. doi: 10.1098/rstb.2009.0225
Landys, M. M., Ramenofsky, M., and Wingfield, J. C. (2006). Actions of glucocorticoids at a seasonal baseline as compared to stress-related levels in the regulation of periodic life processes. Gen. Comp. Endocrinol. 148, 132–149. doi: 10.1016/j.ygcen.2006.02.013
Lyons, A. M., and Thiele, T. E. (2010). Neuropeptide Y conjugated to saporin alters anxiety-like behavior when injected into the central nucleus of the amygdala or basomedial hypothalamus in BALB/cJ mice. Peptides 31, 2193–2199. doi: 10.1016/j.peptides.2010.09.009
Mela, D. J., Aaron, J. I., and Gatenby, S. J. (1996). Relationships of consumer characteristics and food deprivation to food purchasing behavior. Physiol. Behav. 60, 1331–1335. doi: 10.1016/S0031-9384(96)00241-7
Mercer, J. G., Moar, K. M., Ross, A. W., Hoggard, N., and Morgan, P. J. (2000). Photoperiod regulates arcuate nucleus POMC, AGRP, and leptin receptor mRNA in Siberian hamster hypothalamus. Am. J. Physiol. 278, R271–R281. doi: 10.1006/appe.1999.0301
Michel, C., and Cabanac, M. (1999). Lipectomy, body weight, and body weight set point in rats. Physiol. Behav. 66, 473–479. doi: 10.1016/S0031-9384(98)00317-5
Morton, G. J., and Schwartz, M. W. (2001). The NPY/AgRP neuron and energy homeostasis. Int. J. Obes. Relat. Metab. Disord. 25(Suppl. 5), S56–S62. doi: 10.1038/sj.ijo.0801915
Muhlhausler, B. S. (2007). Programming of the appetite-regulating neural network: a link between maternal overnutrition and the programming of obesity? J. Neuroendocrinol. 19, 67–72. doi: 10.1111/j.1365-2826.2006.01505.x
Muhlhausler, B. S., Adam, C. L., Findlay, P. A., Duffield, J. A., and McMillen, I. C. (2006). Increased maternal nutrition alters development of the appetite-regulating network in the brain. FASEB J. 20, 1257–1259. doi: 10.1096/fj.05-5241fje
Musatov, S., Chen, W., Pfaff, D. W., Mobbs, C. V., Yang, X. J., Clegg, D. J., et al. (2007). Silencing of estrogen receptor alpha in the ventromedial nucleus of hypothalamus leads to metabolic syndrome. Proc. Natl. Acad. Sci. U.S.A. 104, 2501–2506. doi: 10.1073/pnas.0610787104
Nagata, E., Nakagawa, Y., Yamaguchi, R., Fujisawa, Y., Sano, S., Satake, E., et al. (2011). Altered gene expressions of ghrelin, PYY, and CCK in the gastrointestinal tract of the hyperphagic intrauterine growth restriction rat offspring. Horm. Metab. Res. 43, 178–182. doi: 10.1055/s-0030-1270528
Neel, J. V. (1962). Diabetes mellitus: a “thrifty” genotype rendered detrimental by “progress”? Am. J. Hum. Genet. 14, 353–362.
Neel, J. V. (1999). Diabetes mellitus: a “thrifty” genotype rendered detrimental by “progress”? 1962. Bull. World Health Organ. 77, 694–703.
Pandit, R., de Jong, J. W., Vanderschuren, L. J., and Adan, R. A. (2011). Neurobiology of overeating and obesity: the role of melanocortins and beyond. Eur. J. Pharmacol. 660, 28–42. doi: 10.1016/j.ejphar.2011.01.034
Prentice, A. M. (2005). Early influences on human energy regulation: thrifty genotypes and thrifty phenotypes. Physiol. Behav. 86, 640–645. doi: 10.1016/j.physbeh.2005.08.055
Ransley, J. K., Donnelly, J. K., Botham, H., Khara, T. N., Greenwood, D. C., and Cade, J. E. (2003). Use of supermarket receipts to estimate energy and fat content of food purchased by lean and overweight families. Appetite 41, 141–148. doi: 10.1016/S0195-6663(03)00051-5
Romsos, D. R., Vander Tuig, J. G., Kerner, J., and Grogan, C. K. (1987). Energy balance in rats with obesity-producing hypothalamic knife cuts: effects of adrenalectomy. J. Nutr. 117, 1121–1128.
Ross, I., and Smith, W. I. (1953). The hoarding behavior of the mouse II. The role of deprivation, satiation and stress. J. Gen. Psychol. 82, 279–297.
Rowland, N. E. (1982). Failure by deprived hamsters to increase food intake: some behavioral and physiological determinants. J. Comp. Physiol. Psychol. 96, 591–603. doi: 10.1037/h0077905
Sahin, H., Erener, T., Erginoz, E., Vural, M., Ilikkan, B., Kavuncuoglu, S., et al. (2012). The relationship of active ghrelin levels and intrauterine growth in preterm infants. Eur. J. Endocrinol. 166, 399–405. doi: 10.1530/EJE-11-0607
Sapolsky, R. M., Romero, L. M., and Munck, A. U. (2000). How do glucocorticoids influence stress responses? Integrating permissive, suppressive, stimulatory, and preparative actions. Endocr. Rev. 21, 55–89. doi: 10.1210/er.21.1.55
Schellekens, H., Finger, B. C., Dinan, T. G., and Cryan, J. F. (2012). Ghrelin signalling and obesity: at the interface of stress, mood and food reward. Pharmacol. Ther. 135, 316–326. doi: 10.1016/j.pharmthera.2012.06.004
Schneider, J. E. (2006). Metabolic and hormonal control of the desire for food and sex: implications for obesity and eating disorders. Horm. Behav. 50, 562–571. doi: 10.1016/j.yhbeh.2006.06.023
Schneider, J. E., Klingerman, C. M., and Abdulhay, A. (2012). Sense and nonsense in metabolic control of reproduction. Front. Endocrinol. (Lausanne) 3:26. doi: 10.3389/fendo.2012.00026
Schneider, J. E., and Wade, G. N. (1999). “Inhibition of reproduction in service of energy balance,” in Reproduction in Context: Environmental and Social Influences on Reproductive Physiology and Behavior, eds K. Wallen and J. E. Schneider (Cambridge, MIT Press), 35–82.
Schneider, J. E., and Watts, A. G. (2002). “Energy balance, ingestive behavior and reproductive success,” in Hormones Brain and Behavior, ed D. Pfaff (San Diego, CA: Academic Press), 435–523. doi: 10.1016/B978-012532104-4/50009-3
Schneider, J. E., Buckley, C. A., Blum, R. M., Zhou, D., Szymanski, L., Day, D. E., et al. (2002). Metabolic signals, hormones and neuropeptides involved in control of energy balance and reproductive success in hamsters. Eur. J. Neurosci. 16, 377–379. doi: 10.1046/j.1460-9568.2002.02118.x
Schneider, J. E., Wise, J. D., Benton, N. A., Brozek, J. M., and Keen-Rhinehart, E. (2013). When do we eat? Ingestive behavior, survival, and reproductive success. Horm. Behav. 64, 702–728. doi: 10.1016/j.yhbeh.2013.07.005
Schwartz, M. W., and Porte, D. Jr. (2005). Diabetes, obesity, and the brain. Science 307, 375–379. doi: 10.1126/science.1104344
Shankar, K., Harrell, A., Liu, X., Gilchrist, J. M., Ronis, M. J., and Badger, T. M. (2008). Maternal obesity at conception programs obesity in the offspring. Am. J. Physiol. Regul. Integr. Comp. Physiol. 294, R528–R538. doi: 10.1152/ajpregu.00316.2007
Silverman, H. J., and Zucker, I. (1976). Absence of post-fast food compensation in the golden hamster (Mesocricetus auratus). Physiol. Behav. 17, 271–285. doi: 10.1016/0031-9384(76)90076-7
Sonneville, K. R., Rifas-Shiman, S. L., Haines, J., Gortmaker, S., Mitchell, K. F., Gillman, M. W., et al. (2013). Associations of parental control of feeding with eating in the absence of hunger and food sneaking, hiding, and hoarding. Child Obes. 9, 346–349. doi: 10.1089/chi.2012.0149
Stanley, B. G., Lanthier, D., Chin, A. S., and Leibowitz, S. F. (1989). Suppression of neuropeptide Y-elicited eating by adrenalectomy or hypophysectomy: reversal with corticosterone. Brain Res. 501, 32–36. doi: 10.1016/0006-8993(89)91023-8
Stevenson, J. A., and Franklin, C. (1970). Effects of ACTH and corticosteroids in the regulation of food and water intake. Prog. Brain Res. 32, 141–152. doi: 10.1016/S0079-6123(08)61529-0
Stice, E., Figlewicz, D. P., Gosnell, B. A., Levine, A. S., and Pratt, W. E. (2012). The contribution of brain reward circuits to the obesity epidemic. Neurosci. Biobehav. Rev. doi: 10.1016/j.neubiorev.2012.12.001. [Epub ahead of print].
Teubner, B. J., and Bartness, T. J. (2010). Cholecystokinin-33 acutely attenuates food foraging, hoarding and intake in Siberian hamsters. Peptides 31, 618–624. doi: 10.1016/j.peptides.2009.12.010
Teubner, B. J., and Bartness, T. J. (2013). Anti-ghrelin spiegelmer inhibits exogenous ghrelin-induced increases in food intake, hoarding and neural activation, but not food deprivation-induced increases. Am. J. Physiol. Regul. Integr. Comp. Physiol. 305, R323–R333. doi: 10.1152/ajpregu.00097.2013
Teubner, B. J., Garretson, J. T., Hwang, Y., Cole, P. A., and Bartness, T. J. (2013). Inhibition of ghrelin O-acyltransferase attenuates food deprivation-induced increases in ingestive behavior. Horm. Behav. 63, 667–673. doi: 10.1016/j.yhbeh.2013.02.001
Teubner, B. J., Keen-Rhinehart, E., and Bartness, T. J. (2012). Third ventricular coinjection of subthreshold doses of NPY and AgRP stimulate food hoarding and intake and neural activation. Am. J. Physiol. Regul. Integr. Comp. Physiol. 302, R37–R48. doi: 10.1152/ajpregu.00475.2011
Tom, G. (1983). Effect of deprivation on the grocery shopping behavior of obese and nonobese consumers. Int. J. Obes. 7, 307–311.
Ulijaszek, S. J. (2002). Human eating behaviour in an evolutionary ecological context. Proc. Nutr. Soc. 61, 517–526. doi: 10.1079/PNS2002180
van Dijk, G., Donahey, J. C. K., Thiele, T. E., Scheurink, A. J. W., Steffens, A. B., Wilkinson, C. W., et al. (1997). Central leptin stimulates corticosterone secretion at the onset of the dark phase. Diabetes 46, 1911–1914. doi: 10.2337/diab.46.11.1911
Vickers, M. H. (2007). Developmental programming and adult obesity: the role of leptin. Curr. Opin. Endocrinol. Diabetes Obes. 14, 17–22. doi: 10.1097/MED.0b013e328013da48
Vickers, M. H., Krechowec, S. O., and Breier, B. H. (2007). Is later obesity programmed in utero? Curr. Drug Targets 8, 923–934. doi: 10.2174/138945007781386857
Volkow, N. D., Wang, G. J., Tomasi, D., and Baler, R. D. (2013). Obesity and addiction: neurobiological overlaps. Obes. Rev. 14, 2–18. doi: 10.1111/j.1467-789X.2012.01031.x
Wade, G. N. (1976). “Sex hormones, regulatory behaviors, and body weight,” in Advances in the Study of Behavior, Vol. 6, eds J. S. Rosenblatt, R. A. Hinde, E. Shaw, and C. G. Beer (New York, NY: Academic Press), 201–279.
Wang, X., Liang, L., and Du, L. (2007). The effects of intrauterine undernutrition on pancreas ghrelin and insulin expression in neonate rats. J. Endocrinol. 194, 121–129. doi: 10.1677/JOE-07-0057
Wood, A. D., and Bartness, T. J. (1996a). Caloric density affects food hoarding and intake by Siberian hamsters. Physiol. Behav. 59, 897–903. doi: 10.1016/0031-9384(95)02167-1
Wood, A. D., and Bartness, T. J. (1996b). Food deprivation-induced increases in hoarding by Siberian hamsters are not photoperiod-dependent. Physiol. Behav. 60, 1137–1145. doi: 10.1016/0031-9384(96)00173-4
Wu, Q., Boyle, M. P., and Palmiter, R. D. (2009). Loss of GABAergic signaling by AgRP neurons to the parabrachial nucleus leads to starvation. Cell 137, 1225–1234. doi: 10.1016/j.cell.2009.04.022
Yang, H. D., Wang, Q., Wang, Z., and Wang, D. H. (2011). Food hoarding and associated neuronal activation in brain reward circuitry in Mongolian gerbils. Physiol. Behav. 104, 429–436. doi: 10.1016/j.physbeh.2011.04.062
Yousheng, J., Nguyen, T., Desai, M., and Ross, M. G. (2008). Programmed alterations in hypothalamic neuronal orexigenic responses to ghrelin following gestational nutrient restriction. Reprod. Sci. 15, 702–709. doi: 10.1177/1933719108316982
Zhang, X. Y., Yang, H. D., Zhang, Q., Wang, Z., and Wang, D. H. (2011). Increased feeding and food hoarding following food deprivation are associated with activation of dopamine and orexin neurons in male Brandt's voles. PLoS ONE 6:e26408. doi: 10.1371/journal.pone.0026408
Zheng, H., Patterson, L. M., Rhodes, C. J., Louis, G. W., Skibicka, K. P., Grill, H. J., et al. (2010). A potential role for hypothalamomedullary POMC projections in leptin-induced suppression of food intake. Am. J. Physiol. Regul. Integr. Comp. Physiol. 298, R720–R728. doi: 10.1152/ajpregu.00619.2009
Keywords: food hoarding, leptin, ghrelin, neuropeptide Y, maternal effects, gestational programming, hypothalamus, obesity
Citation: Keen-Rhinehart E, Ondek K and Schneider JE (2013) Neuroendocrine regulation of appetitive ingestive behavior. Front. Neurosci. 7:213. doi: 10.3389/fnins.2013.00213
Received: 07 August 2013; Accepted: 25 October 2013;
Published online: 15 November 2013.
Edited by:
Alfonso Abizaid, Carleton University, CanadaReviewed by:
Hélène Volkoff, Memorial University of Newfoundland, CanadaTatsushi Onaka, Jichi Medical University, Japan
Copyright © 2013 Keen-Rhinehart, Ondek and Schneider. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Erin Keen-Rhinehart, Department of Biology, Susquehanna University, 514 University Ave., Selinsgrove, PA 17870, USA e-mail: keen-rhinehart@susqu.edu