| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
Department of Psychiatry, University of Cincinnati Medical Center, Cincinnati, Ohio 45267
| ABSTRACT |
|---|
|
|
|---|
| I. Overview |
|---|
|
|
|---|
Compelling evidence implicates at least two peripheral hormones as providing key afferent information to the CNS concerning the amount and distribution of body fat. Leptin, a recently described peptide hormone secreted from adipocytes in proportion to fat mass (and especially to subcutaneous fat mass) (Masuzaki et al., 1995; Dua et al., 1996; Montague et al., 1997) has received tremendous attention in recent years. Considerable evidence suggests that leptin acts as one of the bodys adiposity signals (Zhang et al., 1994; Matson et al., 1996; Friedman, 1997; Buchanan et al., 1998; Woods et al., 1998; Schwartz et al., 2000). Leptin levels in the blood are correlated with body fat. Administration of exogenous leptin reduces food intake and increases energy expenditure. Furthermore, when energy balance is suddenly changed (for example, if an individual is fasted for a day), plasma leptin levels decrease far more than body adiposity in the short term (Woods et al., 1997; Buchanan et al., 1998). Hence, although much has been written about leptin as an adiposity signal, it is not ideal in and of itself, suggesting that at least one additional signal must exist. The logical candidate is the pancreatic hormone, insulin.
Plasma insulin levels are directly correlated with adiposity (Woods et al., 1998). They correlate better with visceral than subcutaneous fat. Moreover, when energy balance changes, plasma insulin follows these changes faithfully. Hence, leptin and insulin together provide information to the brain not only about the size of the fat mass but also about its distribution and important recent changes of metabolic status. The effort of many laboratories, including part of our own, is concentrated on elucidating how insulin and leptin interact with central neural systems controlling energy homeostasis.
| II. Insulin as an Adiposity Signal |
|---|
|
|
|---|
The second line of evidence consistent with insulin being a prime candidate for an adiposity signal is the finding that insulin better maps acute changes of energy metabolism and adiposity than its adipocyte cousin leptin. Insulin secretion faithfully tracks changes of energy balance on the order of minutes to hours, as opposed to days, and these changes are always in direct proportion to the size of the adipose mass. Furthermore, insulin plays a key role in the regulation of glucose and lipid utilization and storage. Without sufficient insulin, most tissues cannot take up much glucose, so glucose accumulates in the blood. At the same time, adipocytes cannot take up and store fat. When insulin resistance occurs in obesity, and more insulin is secreted to regulate glucose, the excess insulin causes increased accumulation of fat in adipocytes. Hence, disruptions of insulin sensitivity are associated with both obesity and diabetes. Many reviews of these phenomena have been written (Schwartz et al., 1992; Porte et al., 1998; Woods et al., 1998,2003).
Additional support for the hypothesis that insulin acts as an adiposity signal includes the fact that insulin receptors and insulin receptor mRNA are found in CNS regions involved in the regulation of food intake and body weight (Schwartz et al., 1992; Campfield et al., 1996; Matson et al., 1996; Woods et al., 2003). In particular, insulin receptors in the arcuate nucleus of the hypothalamus (ARC) are prime candidates for translators of an adiposity signal. Third ventricular (i3vt) administration of insulin decreases expression of the anabolic effector peptide, neuropeptide Y (NPY) in the ARC (Schwartz et al., 1992; Sipols et al., 1995). ARC NPY fibers project to the paraventricular nucleus (PVN) of the hypothalamus. Administration of insulin into the i3vt of the brain also causes increased expression of corticotropin (ACTH)-releasing hormone mRNA in the PVN (Sipols et al., 1995; Schwartz et al., 1996b). These results demonstrate that the insulin signal is tied to changes in food intake associated with hypothalamic neuropeptides. The mediation of insulins catabolic effects is detailed below.
One requirement of a humoral adiposity signal is that it should gain access to the brain. Consistent with this, insulin has been found to enter the brain via a saturable transport process that moves it from plasma into brain interstitial fluid (Hachiya et al., 1988). The rate of entry of insulin to CNS is well mapped to normal fluctuations of plasma insulin levels, although higher levels exceed the saturation point (Baura et al., 1993; Woods et al., 2003). With very high plasma levels, the entry of insulin to brain remains relatively constant. This is important for regulation of body weight because some types of obesity are known to be associated with disruptions of the insulin transport system. A review of this is found in Woods et al. (2003).
Finally, and importantly, administration of exogenous insulin into the brain reduces food intake and increases energy expenditure, consistent with its being an adiposity signal. Repeated administration of insulin in small doses, or as a continuous infusion, elicits decreased food intake and increased energy expenditure after several hours and lasts for the duration of the treatment (Woods et al., 1974,1996; Air et al., 2002a). Administration of insulin into the brain also potentiates the anorexic effects of peripherally administered cholecystokinin (CCK) (Figlewicz et al., 1995; Riedy et al., 1995). This suggests that insulin modulates the bodys response to short-term signals that terminate meals. Importantly, administration of insulin peripherally, in amounts that do not cause hypoglycemia, decreases food intake (Nicolaidis and Rowland, 1976; Vanderweele et al., 1982; McGowan et al., 1990; Woods et al., 2003). In agreement with these data, administration of antibodies to insulin into the brain increases food intake and body weight (Strubbe and Mein, 1977; McGowan et al., 1992). It is important to note that there is no evidence that alterations in food intake after administration of insulin, either systemic or central, are secondary to aversive consequences (Chavez et al., 1995). That is, administration of exogenous insulin into the brain does not appear to make animals ill. Collectively, these data suggest that insulin provides a signal of adiposity to the CNS and that the signal is capable of altering food intake, based on the state of energy balance.
In summary, insulin, aside from its important peripheral action for the metabolism of fuels, satisfies all of the criteria for consideration as a general adiposity signal. Indeed, Woods and colleagues (Porte et al., 1998; Woods et al., 1998) have suggested that the administration of insulin does not simply act to change food intake per se but rather helps determine the level of fat that will be maintained and defended by the animal. That is, levels of circulating insulin help modulate the long-term level of fat stored in the body in any particular environment. It is unclear at present whether, in the obese insulin-resistant state, there are parallel changes of central insulin-sensitive systems. Niswender and Schwartz (2003) published an excellent recent review of insulin as an adiposity signal.
| III. Leptin as an Adiposity Signal |
|---|
|
|
|---|
The importance of leptin as an adiposity signal to the brain is supported further by the phenotype of animals that either do not synthesize it (ob/ob mice that have a mutation in the leptin gene) (Zhang et al., 1994) or that have genetic mutations that compromise functioning of the leptin receptor (db/db mice and fatty Zucker fa/fa rats) (Chua et al., 1996). These animals are characterized by hyperphagia and extreme obesity. Administering small amounts of leptin into the brains of ob/ob mice reverses this syndrome (see reviews in Tartaglia et al., 1995 and Woods et al., 1998).
The leptin receptor, a member of the cytokine receptor family, exists in many natural forms in the brain and rest of the body. The leptin receptor can be considered to have two functional parts. The extracellular domain recognizes and interacts with extracellular leptin and is identical for all known leptin receptors. When appropriately activated, the intracellular domain causes certain cellular events to be initiated. Variations in the length of the intracellular domain determine the type of action leptin exerts on a cell (Tartaglia et al., 1995). All intracellular forms of the leptin receptor activate the Janus kinases (JAK) (JAK-signal transducer and activator of transcription (STAT) pathway of tyrosine protein kinases). The form found in the hypothalamus, including the ARC, is the longest one, termed OB-Rb, and has the capacity to activate several intracellular signaling pathways besides JAK-STAT. This form also activates transcription factors (Niswender and Schwartz, 2003).
Leptin signaling (actually, reduced leptin signaling) has been hypothesized to regulate many vital systems when animals are severely hypocaloric and have low body fat. Leptin is secreted from adipocytes in direct proportion to the amount of stored fat, especially the amount of subcutaneous fat. Leptin secretion rate and leptin mRNA expression are two to three times higher in subcutaneous than visceral fat, in part due to the larger adipocytes relative to visceral fat (Dua et al., 1996; Montague et al., 1997; Bray and Popkin, 1998; Samaras et al., 1998). However, the actual stimulus is related more to the metabolic activity of the fat cell than to fat storage, such that dissociations can occur between stored fat and leptin release, particularly during a fast. Nonetheless, under normal conditions, plasma leptin levels are a reliable and rather stable indicator of body fat, since leptins half-life is about 45 minutes.
Soon after the discovery of leptin, it was reported that when mice are administered exogenous leptin into the brain, they reduce their food intake and body weight (Campfield et al., 1995). Our laboratory replicated this phenomenon in rats (Seeley et al., 1996) and found that leptin exerts this effect without causing signs of illness (Thiele et al., 1997). We also mapped the location of OB-Rb in the brain and determined where leptin administration elicits c-Fos expression (Thiele et al., 1997; van Dijk et al., 1999). We also found that leptin acts in the ARC to reduce NPY synthesis and to stimulate pro-opiomelanocortin (POMC) synthesis (Seeley et al., 1997; Hagan et al., 1999; van Dijk et al., 1999). We proposed a model based upon the opposing actions of anabolic neuropeptides such as NPY and agouti-related peptide (AgRP) and catabolic neuropeptides such as alpha-melanocyte stimulating hormone (
-MSH) (Schwartz et al., 1997). We also reported that the ability of leptin to reduce food intake critically depends upon "downstream" stimulation of activity at melanocortin-4 (MC-4) receptors, since the administration of mixed MC3/4 antagonists or specific MC-4 antagonists attenuates leptins ability to reduce food intake and induce fos activity in the PVN (Seeley et al., 1997). Like others, we found that the administration of MC-4 agonists reduces food intake and body weight (Thiele et al., 1998; Benoit et al., 2000; McMinn et al., 2000).
| IV. Similarities and Differences Among Adiposity Signals |
|---|
|
|
|---|
There are other fundamental differences. For one, the secretion of insulin is adjusted in response to every acute change of metabolism. Its levels increase during meals or when glucose is elevated for some other reason and decrease during stress and exercise. The half-life of insulin in the blood (23 minutes) is consistent with its role as a minute-to-minute indicator of ongoing metabolism; all of its fluctuations are directly proportional to total body fat. Leptin is secreted from adipocytes in direct proportion to ongoing metabolic activity of the fat cell. Plasma leptin levels are, therefore, a reliable and rather stable indicator of body fat. Hence, insulin levels reflect the interaction of ongoing metabolic processes and body adiposity, whereas leptin levels reflect the activity of adipose cells more directly.
Another difference is that insulin secretion reflects the amount of visceral white adipose tissue, whereas leptin secretion reflects total fat mass, especially subcutaneous fat (Masuzaki et al., 1995; Dua et al., 1996; Montague et al., 1997). This is potentially quite important with regard to the message conveyed to the brain, since visceral fat carries a greater risk for the metabolic complications associated with obesity than does subcutaneous fat. Elevated visceral fat is associated with an increased incidence of insulin resistance, type 2 diabetes mellitus, hypertension, cardiovascular disease, and certain cancers. Hence, while circulating levels of leptin and insulin each convey specific information as to the distribution of fat, the combination of the two conveys information about the total fat mass of the body.
Regardless of the differences, leptin and insulin both provide important afferent information to the brain. Even though they are not made in the brain, the brain nonetheless contains specific receptors for both. Each is transported from the blood, through the blood-brain barrier, by a receptor-mediated mechanism (Porte et al., 1998; Woods et al., 1998,2003). Therefore, biologically active leptin and insulin are delivered into the brain interstitial fluid, where they can interact with receptors on neurons. The ARC contains receptors for each in particularly high concentrations (Banks et al., 1996; Schwartz et al., 1996b; Woods et al., 2003) and each signal has important shared mediators in the hypothalamus. We have found that when insulin and leptin are administered into the brain in combination, they initially interfere with each others action such that the net catabolic effect is less than the sum of the individual effects. However, after 4 hours, the two peptides are simply additive (Air et al., 2002b). There are several reviews of this literature (Porte et al., 1998; Woods et al., 1998). A diagram of stimulation of the ARC by leptin and insulin is depicted in Figure 1.
|
| V. Central Effector Systems |
|---|
|
|
|---|
The catabolic and anabolic effector systems are in actuality a series of discrete neurotransmitter systems and axonal pathways in the brain. Many of the key details of this overall schema have emerged in the last few years. Although receptors for leptin and insulin are located throughout the CNS, both are concentrated in the ARC in the ventral hypothalamus. Hence, ARC neurons are sensitive to these hormones and consequently to the amount of adipose tissue in the body.
A. ANABOLIC EFFECTOR SYSTEMS
The best-described anabolic effector peptide in the brain is NPY. Although NPY mRNA and peptide are distributed widely throughout the CNS, NPY-containing cell bodies in the ARC are especially important in the control of energy homeostasis (Schwartz et al., 1992). Although these ARC NPYergic neurons directly influence several areas of the brain, major projections are to the nearby PVN and the lateral hypothalamic area (LHA). ARC NPYergic neurons respond to negative energy balance (e.g., food deprivation) by synthesizing more NPY mRNA and consequently release more NPY in the PVN (Kalra et al., 1991; Schwartz et al., 1992) and presumably the LHA as well. Importantly, animals in negative energy balance have low levels of adiposity hormones, resulting in elevated NPY mRNA in the ARC. Local replacement of either insulin or leptin in the vicinity of the ARC normalizes the elevated NPY mRNA in the ARC of fasted animals (Schwartz et al., 1992; Sipols et al., 1992). Hence, the activity of these ARC NPY neurons is under the direct influence of at least two adiposity signals.
Consistent with its being an anabolic effector peptide, administration of exogenous NPY into the PVN or into the adjacent i3vt elicits a rapid and robust increase in food intake (Clark et al., 1984; Sahu and Kalra, 1993; Stanley et al., 1993; Seeley et al., 1995) and decrease in energy expenditure (Billington et al., 1994). Repeated administration of NPY produces uncompensated increases in food intake, body weight, and adiposity. Local administration into the ARC of compounds that result in less NPY being synthesized result in reduced food intake and body weight (Akabayashi et al., 1994). Hence, NPY meets all of the criteria of an anabolic effector peptide.
B. CATABOLIC EFFECTOR SYSTEMS
The catabolic counterpart of the ARC NPY system also appears to reside within the ARC. Considerable evidence implicates the ARC melanocortin system as an important catabolic effector system. Melanocortins are a family of peptides that include ACTH and
-MSH. The precursor molecule for ARC melanocortins is POMC. In addition to several other important neuropeptides, POMC encodes
-MSH, a transmitter that functions as an agonist at several classes of melanocortin receptors within the hypothalamus (especially within the PVN and LHA) (Cone, 1999,2000). When administered into the i3vt,
-MSH and other melanocortin receptor agonists (including the synthetic drug MTII) reduce food intake and body weight, whereas administration of synthetic melanocortin receptor antagonists (e.g., SHU-9119) increases food intake and body weight (Tsujii and Bray, 1989; Fan et al., 1997; Seeley et al., 1997; Thiele et al., 1998). POMC gene expression is reduced in negative energy balance (Schwartz et al., 1997) and increased in positive energy balance (Hagan et al., 1999).
Consistent with the hypothesis that the melanocortin system is important in mediating the effects of leptin, leptin receptors are found on POMC neurons, leptin stimulates POMC mRNA, and a melanocortin receptor antagonist blocks the effect of leptin to reduce food intake (Seeley et al., 1997). Analogously, insulin receptors are found on POMC neurons, insulin stimulates POMC mRNA, and SHU 9119 attenuates insulins anorexic action (Benoit et al., 2002). All of this evidence points to the endogenous POMC/
-MSH/melanocortin receptor hypothalamic system as being a key catabolic effector pathway capable of eliciting robust effects on food intake and body weight that mediates the effect of adiposity signals in the CNS.
A compelling body of evidence implicates the hypothalamic melanocortin system as one of the central effectors controlling food intake and energy balance. The evidence for this is multifold. First, consider the phenotype of the agouti mouse. This yellow mouse has an autosomally transmitted trait resulting from a mutation of the agouti gene that results in ectopic expression of the agouti protein (Bultman et al., 1992). In melanocytes, this inappropriate expression results in continuous antagonism of
-MSH signaling. The resulting phenotype is a yellow coat. However, the agouti mouse is obese as well as yellow. This observation led to the hypothesis that ectopic agouti protein antagonizes central melanocortin receptors involved in food intake. Indeed, though melanocortins have been known to influence food intake since the 1980s, it was only during the last decade that their receptors were cloned and localized to the hypothalamus. As predicted, agouti is an antagonist of these receptors (Lu et al., 1994). Importantly, an endogenous AgRP subsequently was found to be produced almost exclusively in the ARC and to project to the PVN and LHA (Schwartz et al., 1997).
Consistent with the hypothesis that the melanocortin system mediates the effects of adipose hormones is the finding that expression of melanocortin gene products is regulated by energy balance. During periods of negative energy balance (and, consequently, low adipose hormones), expression of AgRP mRNA is increased, while expression of POMC is decreased (Mizuno et al., 1999). During positive energy balance (and high levels of adipose hormones), on the other hand, expression of POMC mRNA is increased and AgRP is decreased. Furthermore, as previously discussed, POMC-containing neurons also have receptors for leptin (Cheung et al., 1997; Mountjoy and Wong, 1997; Seeley et al., 1997). All these findings suggest that the hypothalamic melanocortin system is a likely central target of adipose signals and a mediator of their effects on food intake.
The brain expresses two types of melanocortin receptors, MC3R and MC4R (Cone, 1999,2000). Distribution of MC3R is limited to areas of the hypothalamus, while MC4R are located throughout the brain. Most data suggest that MC4R are most critical for melanocortin involvement in food intake. Indeed, an important piece of evidence linking melanocortins to food intake also supports the hypothesis that MC4R is the critical receptor. Mice with targeted deletion of the MC4R gene are phenotypically similar to the yellow (agouti) mouse (Huszar et al., 1997). While not yellow, they exhibit profound obesity as well as hyperinsulinemia. As predicted, nonselective MC3/4R agonists (e.g., MTII) do not reduce food intake in MC4R-/- mice (Marsh et al., 1999). While the issue is complicated by findings that MC3R-/- mice have increased body fat but not increased food intake (Chen and Marsh, 2000), such findings nonetheless support the hypothesis that the melanocortin system plays an important role in the control of energy balance.
Additional evidence supporting a role for melanocortins in the control of food intake comes from experimental administrations of both naturally occurring and synthetic peptides. i3vt administration of
-MSH decreases food intake (Tsujii and Bray, 1989; McMinn et al., 2000), as does i3vt administration of synthetic agonists, including MTII and Ro273225 (Fan et al., 1997; Thiele et al., 1998; Benoit et al., 2000). Conversely, administration of melanocortin receptor antagonists, such as AgRP or the synthetic agonist SHU-9119, elicits long-lasting increase in food intake (Fan et al., 1997; Ollmann et al., 1997; Rossi et al., 1998; Hagan et al., 1999,2000). While these data are consistent with the hypothesized role of the melanocortin system in the control of food intake, the presence of both an endogenous agonist and antagonist of the same receptor makes this system a prime candidate for the translation of negative-feedback signals from adipose tissue.
Figure 1 depicts a neuroanatomical schematic of the hypothalamic melanocortin system control of food intake. POMC neurons in the ARC express receptors for adiposity signals (e.g., leptin). These hormones convey an adiposity signal to the brain, which is in part received by ARC POMC neurons. To mediate the anorexic effects of leptin and insulin, these neurons, in turn, release
-MSH. Leptin and insulin also function to reduce NPY and AgRP expression. Figure 1 also depicts the most-characterized projection sites of these ARC POMC neurons, the PVN and the LHA, where the MC3/4R thought to be most important in the control of food intake and body weight are localized. However, relatively little experimental attention has been given to either 1) the downstream projections of these PVN neurons or 2) MC3/4R in other areas of the brain that might play important roles in the control of ingestion.
Importantly, the melanocortin system projects to multiple areas in the brain. Because food intake and body weight regulation are likely controlled by several CNS processes, the possibility remains that melanocortin peptides might alter food intake and body weight in multiple ways. For example, POMC-expressing neurons and the densest expression of MC4R actually are found in the caudal brainstem (Kishi et al., 2003). Additionally, MC4R are expressed in the infralimbic and insular cortices, LHA, bed nucleus of the stria terminalis, lateral parabrachial nucleus, nucleus of the solitary tract, hippocampus, amygdala, and the dorsal motor nucleus of the vagus (Lindblom et al., 2002; Zhou et al., 2002; Alvaro et al., 2003; Kishi et al., 2003). Thus, the melanocortin system may play important roles in the detection of interoceptive state signals (e.g., hunger and satiety), taste processing, or even reward or learning about ingested foods (Saper et al., 2002).
| VI. Synergy and Interactions of the Systems |
|---|
|
|
|---|
The potential for redundancy between leptin and insulin has been highlighted by several recent studies in which leptin and insulin have been found to share intracellular and neuronal signaling pathways. While the melanocortin system has long been thought to mediate the central actions of leptin, recent studies in which insulin significantly stimulated POMC expression in fasted rats and insulin-induced hypophagia was blocked by a nonspecific melanocortin receptor antagonist (Fan et al., 1997; Ollmann et al., 1997; Seeley et al., 1997; Rossi et al., 1998; Hagan et al., 1999,2000) strongly support a role for the melanocortin system in the regulation of energy balance by insulin as well. Furthermore, phosphatidylinositol-3-OH kinase (PI3-K), an enzyme that is an intracellular mediator of insulin signaling, appears to play a crucial role in the leptin-induced anorexia signal transduction pathway (Niswender and Schwartz, 2003). While these data are consistent with the concept that leptin and insulin share such pathways, they also suggest that, over time, this redundancy dissipates and their pathways diverge.
| VII. Additional Complexity of the Leptin/Insulin-Melanocortin System |
|---|
|
|
|---|
During the course of studies on the function of syndecan-1, Reizes and colleagues (2001) discovered that the syndecans play an important role in the regulation of food intake and body weight. In those studies, they induced overexpression of syndecan-1 in mice. For reasons that still are not clear, this did not result in ubiquitous expression but rather yielded high levels of syndecan-1 expression in specific areas of the brain where it would normally not be found. In particular, the syndecan-1 transgene was highly expressed in hypothalamus. Syndecan-1 transgenic mice have severe maturity-onset obesity and type II diabetes. The phenotype of this obesity closely resembles that of previously characterized mice with disruptions of the melanocortin signaling pathway, including the agouti yellow, AgRP overexpressers, and MC4R knockout mice (Huszar et al., 1997; Ollmann et al., 1997). Additionally, syndecan-1 was found to potentiate the obesity of the yellow (Ay/a) mice and to potentiate the activity of AgRP and agouti signaling protein in cell-culture preparations. Finally, it was discovered that syndecan-1 promoted obesity only when it was expressed at the cell surface. Mice that constitutively shed syndecan-1 because the membrane-binding region of the gene had been deleted had a complete reversal of the obese phenotype (Reizes et al., 2001). These findings are consistent with the hypothesis that the syndecan-1 transgene acts as a coreceptor for AgRP on MC3R- and MC4R-containing neurons. This, in turn, led to the hypothesis that syndecan-3, normally expressed in hypothalamic tissues, is a coreceptor for endogenous AgRP antagonism.
| VIII. Dysregulation of Energy Homeostasis |
|---|
|
|
|---|
Experiments in which animals were rendered obese, then placed on a low(er)-fat diet, have been somewhat equivocal, with some reporting loss of body weight (Hill et al., 1992) and others no weight reduction (Faust et al., 1978; Rolls et al., 1980; Harris et al., 1986; Uhley and Jen, 1989; Hill et al., 1992). One important parameter is evidently the age at which the obesity is initially induced. Younger rats (as well as older rats made obese by maintenance on a HF diet for longer intervals) may increase their number of adipocytes (Lemonnier, 1972; Faust et al., 1978; Hill et al., 1992). When subsequently placed on a low-fat (LF) diet, such animals tend not to lose weight (or body fat). However, if the number of adipocytes does not increase, obese animals placed on a LF diet lose weight to the level of rats never made obese at all (Hill et al., 1992). Without assessing fat cell number, we have observed that adult rats given a HF diet and held at an obese weight for a prolonged interval lose weight to control levels when returned to a LF diet. One conclusion that has been reached from this literature is that it is easier to induce obesity in a lean individual with a HF diet than it is to induce leanness in an obese individual with a LF diet (Hill et al., 1992; Bray and Popkin, 1998).
Importantly, the consequences of obesity, including dietary-induced obesity, are well documented and include type II diabetes and insulin insensitivity. Furthermore, some detrimental effects of dietary fat are not limited to obese individuals. For example, we recently demonstrated that while dietary-induced obesity decreases central sensitivity to the anorexic effects of central insulin administration, increased dietary fat, in the absence of frank obesity, attenuates the potency of central insulin to reduce food intake and body weight.
| ACKNOWLEDGEMENTS |
|---|
|
|
|---|
| REFERENCES |
|---|
|
|
|---|
This article has been cited by other articles:
![]() |
P. S. MacLean, A. Bergouignan, M.-A. Cornier, and M. R. Jackman Biology's response to dieting: the impetus for weight regain Am J Physiol Regulatory Integrative Comp Physiol, September 1, 2011; 301(3): R581 - R600. [Abstract] [Full Text] [PDF] |
||||
![]() |
F. Remmers and H. A. Delemarre-van de Waal Developmental Programming of Energy Balance and Its Hypothalamic Regulation Endocr. Rev., April 1, 2011; 32(2): 272 - 311. [Abstract] [Full Text] [PDF] |
||||
![]() |
N. W. Garcia, T. J. Greives, D. A. Zysling, S. S. French, E. M. Chester, and G. E. Demas Exogenous insulin enhances humoural immune responses in short-day, but not long-day, Siberian hamsters (Phodopus sungorus) Proc R Soc B, July 22, 2010; 277(1691): 2211 - 2218. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. Boghossian, K. Lemmon, M. Park, and D. A. York High-fat diets induce a rapid loss of the insulin anorectic response in the amygdala Am J Physiol Regulatory Integrative Comp Physiol, November 1, 2009; 297(5): R1302 - R1311. [Abstract] [Full Text] [PDF] |
||||
![]() |
J. Xu, M. A. Kirigiti, K. L. Grove, and M. S. Smith Regulation of Food Intake and Gonadotropin-Releasing Hormone/Luteinizing Hormone during Lactation: Role of Insulin and Leptin Endocrinology, September 1, 2009; 150(9): 4231 - 4240. [Abstract] [Full Text] [PDF] |
||||
![]() |
G. Paz-Filho, K. Esposito, B. Hurwitz, A. Sharma, C. Dong, V. Andreev, T. Delibasi, H. Erol, A. Ayala, M.-L. Wong, et al. Leptin and insulin sensitivity: reply to Oral and Burant Am J Physiol Endocrinol Metab, February 1, 2009; 296(2): E396 - E396. [Full Text] [PDF] |
||||
![]() |
K. Proulx, D. Cota, S. C. Woods, and R. J. Seeley Fatty Acid Synthase Inhibitors Modulate Energy Balance via Mammalian Target of Rapamycin Complex 1 Signaling in the Central Nervous System Diabetes, December 1, 2008; 57(12): 3231 - 3238. [Abstract] [Full Text] [PDF] |
||||
![]() |
A. D. Laposky, M. A. Bradley, D. L. Williams, J. Bass, and F. W. Turek Sleep-wake regulation is altered in leptin-resistant (db/db) genetically obese and diabetic mice Am J Physiol Regulatory Integrative Comp Physiol, December 1, 2008; 295(6): R2059 - R2066. [Abstract] [Full Text] [PDF] |
||||
![]() |
J. Ye, L. Ozturk, L. Xi, R. C. Kukreja, A. C. de Leon, C. O'Donnell, P. Vats, M. Guerre-Millo, and X. Bigard Commentaries on viewpoint: effect of altitude on leptin, does it go up or down? J Appl Physiol, November 1, 2008; 105(5): 1687 - 1687. [Full Text] [PDF] |
||||
![]() |
S. C. Woods and D. A. D'Alessio Central Control of Body Weight and Appetite J. Clin. Endocrinol. Metab., November 1, 2008; 93(11_Supplement_1): s37 - s50. [Abstract] [Full Text] [PDF] |
||||
![]() |
R. Pattaranit and H. A. van den Berg Mathematical models of energy homeostasis J R Soc Interface, October 6, 2008; 5(27): 1119 - 1135. [Abstract] [Full Text] [PDF] |
||||
![]() |
K. Pierre, A. Parent, P.-Y. Jayet, A. P. Halestrap, U. Scherrer, and L. Pellerin Enhanced expression of three monocarboxylate transporter isoforms in the brain of obese mice J. Physiol., September 1, 2007; 583(2): 469 - 486. [Abstract] [Full Text] [PDF] |
||||
![]() |
J. P. Warne, M. T. Foster, H. F. Horneman, N. C. Pecoraro, A. B. Ginsberg, S. F. Akana, and M. F. Dallman Hepatic Branch Vagotomy, Like Insulin Replacement, Promotes Voluntary Lard Intake in Streptozotocin-Diabetic Rats Endocrinology, July 1, 2007; 148(7): 3288 - 3298. [Abstract] [Full Text] [PDF] |
||||
![]() |
K. M. Pelz and J. Dark ICV NPY Y1 receptor agonist but not Y5 agonist induces torpor-like hypothermia in cold-acclimated Siberian hamsters Am J Physiol Regulatory Integrative Comp Physiol, June 1, 2007; 292(6): R2299 - R2311. [Abstract] [Full Text] [PDF] |
||||
![]() |
P. S. Singru, E. Sanchez, C. Fekete, and R. M. Lechan Importance of Melanocortin Signaling in Refeeding-Induced Neuronal Activation and Satiety Endocrinology, February 1, 2007; 148(2): 638 - 646. [Abstract] [Full Text] [PDF] |
||||
![]() |
R. K. Srivastava and A. Krishna Adiposity associated rise in leptin impairs ovarian activity during winter dormancy in Vespertilionid bat, Scotophilus heathi Reproduction, January 1, 2007; 133(1): 165 - 176. [Abstract] [Full Text] [PDF] |
||||
![]() |
L. Asarian and N. Geary Modulation of appetite by gonadal steroid hormones Phil Trans R Soc B, July 29, 2006; 361(1471): 1251 - 1263. [Abstract] [Full Text] [PDF] |
||||
![]() |
P. S. MacLean, J. A. Higgins, M. R. Jackman, G. C. Johnson, B. K. Fleming-Elder, H. R. Wyatt, E. L. Melanson, and J. O. Hill Peripheral metabolic responses to prolonged weight reduction that promote rapid, efficient regain in obesity-prone rats Am J Physiol Regulatory Integrative Comp Physiol, June 1, 2006; 290(6): R1577 - R1588. [Abstract] [Full Text] [PDF] |
||||
![]() |
A. D. Laposky, J. Shelton, J. Bass, C. Dugovic, N. Perrino, and F. W. Turek Altered sleep regulation in leptin-deficient mice Am J Physiol Regulatory Integrative Comp Physiol, April 1, 2006; 290(4): R894 - R903. [Abstract] [Full Text] [PDF] |
||||
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
| Endocrinology | Endocrine Reviews | J. Clin. End. & Metab. |
| Molecular Endocrinology | Recent Prog. Horm. Res. | All Endocrine Journals |