Review
Leptin and the systems neuroscience of meal size control

https://doi.org/10.1016/j.yfrne.2009.10.005Get rights and content

Abstract

The development of effective pharmacotherapy for obesity will benefit from a more complete understanding of the neural pathways and the neurochemical signals whose actions result in the reduction of the size of meals. This review examines the neural control of meal size and the integration of two principal sources of that control – satiation signals arising from the gastrointestinal tract and CNS leptin signaling. Four types of integrations that are central to the control of meal size are described and each involves the neurons of the nucleus tractus solitarius (NTS) in the dorsal hindbrain. Data discussed show that NTS neurons integrate information arising from: (1) ascending GI-derived vagal afferent projections, (2) descending neuropeptidergic projections from leptin-activated arcuate and paraventricular nucleus neurons, (3) leptin signaling in NTS neurons themselves and (4) melanocortinergic projections from NTS and hypothalamic POMC neurons to NTS neurons and melanocortinergic modulation of vagal afferent nerve terminals that are presynaptic to NTS neurons.

Introduction

The dramatic increase in the prevalence of obese and overweight individuals over the past two decades has intensified interest in obesity (and its co-morbidities – type II diabetes mellitus, cardiovascular disease, and certain cancers) and the need for additional research on its mediating mechanisms. The “obesity epidemic” is attributed to features of modern life – increased consumption of abundant and palatable energy-dense foods [119], [18] and reduced physical activity [58] – that interact with an energy balance regulatory system that evolved in response to food scarcity [87], [88], [135]. Despite the increased prevalence of obesity in adult and pediatric populations, and an appreciation of the enormous economic and personal costs of treating obesity and its co-morbidities, there are presently no pharmacological treatments that curtail excess feeding and yield meaningful sustained weight loss. The failure to identify effective drug treatments for obesity is, of course, unrelated to the significant scientific effort and economic investment by the government (see NIH Strategic Plan for Obesity Research) and by the pharmaceutical industry. In fact, by targeting the regulatory neural systems governing energy balance at a cellular level, basic science has succeeded in identifying critical roles for novel hormones (leptin, glucagon-like peptide-1, ghrelin), neuropeptides (melanocortin, melanin-concentrating hormone), and other neurochemicals (serotonin, dopamine, opioids and cannabinoids), as well as their respective receptors in energy balance regulation [10], [2], [69], [42], [109], [44], [144], [133], [141], [160].

A likely explanation for the absence of effective drug treatments can be found in the multi-determined nature of an energy balance control system that evolved under pressures of food scarcity. Physiologic systems are confronted with a difficult problem – how to maintain supplies of the energy-rich molecules that are in constant demand to power the myriad cellular processes necessary for survival and reproduction. It appears that our energy balance regulatory systems “solved” the problem of chronic energy demand by evolving multiple and, in some instances, redundant sub-systems. A neuroendocrine system that employs multiple signals, receptors, and brain circuits that operate with a degree of redundancy would appear to be better able to ensure that adequate energy is available to power the demands of survival and reproduction than a CNS control system centered in a single brain site using fewer feedback signals. As food scarcity was the prevailing condition during our ancestral development and food abundance occurred only periodically, the regulatory systems of our Paleolithic ancestors performed well [87], [88], [135] – matching energy intake (feeding behavior) with energy expenditure in most individuals [58]. Historically, obesity was uncommon under those conditions. But, in recent decades the food availability and energy expenditure demands of our environment have changed dramatically. The development of agribusiness with support from government provides abundant quantities of low-cost, energy-dense foods [110] that, given the bias of our regulatory system towards consumption during periods of food availability [126], appears to promote a state of chronic hyperphagia that drives positive energy balance, increased adiposity, and ultimately obesity in many individuals.

The problem at hand then is the need to develop effective and safe pharmacological treatments for obesity (radical surgical treatment is effective but has associated risks). This task leads us to an in-depth consideration of the brain mechanisms responsible for the inhibition of food intake in the non-obese state. Humans and many other mammals (including common laboratory rodent models) consume food in discrete episodes or meals. Distinguishable behavioral responses are controlled by various brain regions and neurochemical systems that impact on various aspects of meal taking, including the initiation, size, and frequency of meals. Given the aforementioned abundant food environment, the initiation of meals, for most of us, is not associated with hunger (homeostatic need, negative energy balance or the absence of gastrointestinal satiation signals). Rather, meal initiation for many people is based on appetite – the time of day, the constraints of our schedules, social circumstances, the hedonic allure of foods (referred to as reward or food-reward), and learned associations [153], [138], [89], [154]. These contributory factors to meal initiation are considered non-homeostatic (not driven by energy deficit). While their contribution to the control of feeding and the obesity epidemic is clear, our current understanding of the neurons, signaling cascades, neural circuits and neurochemicals that mediate their biological influences on feeding is poorly developed. By contrast, the physiological underpinnings of the factors that control meal termination and thereby meal size (the amount of food consumed during a meal) has been more extensively studied.

G.P. Smith distinguishes between two categories of signals that contribute to the control of meal size [134]. He uses the term direct controls of meal size, to describe signals arising from the alimentary canal in response to contact with ingested food or to the products of its digestion. Direct controls, more commonly referred to as satiation signals, include sensory signals arising from the interaction of ingested food with the gastrointestinal (GI) tract and include mechanical distension of the stomach, nutrient stimulation of the intestine, and intestinal hormones released in response to calorie-bearing nutrients (e.g., cholecystokinin [CCK], glucagon-like peptide-1 [GLP-1], peptide YY 3-36 [PYY3-36]) [96]. It is well known that these satiation signals activate receptors on vagal afferent neurons whose cell bodies reside in the nodose ganglion and whose central processes terminate on neurons of specified subnuclear regions of the nucleus tractus solitarius (NTS) [111], [113], [14], [71]. NTS neurons project to many other neurons throughout the neuraxis including those in the pons (parabrachial nucleus, PBN), hypothalamus (lateral hypothalamus, LH; paraventricular nucleus, PVH), basal forebrain (bed nucleus of stria terminalis; central nucleus of the amygdala), thalamus, and agranular insular cortex. This projection system is referred to as the ascending central visceral afferent pathway [90], [121].

Smith [134] and others (e.g. Berthoud et al. [16]; Woods et al. [155]) agree that meal size is influenced by other types of signals including metabolic signals (fuel availability), such as circulating levels of nutrients (e.g. glucose, free fatty acids and amino acids). In addition, correlates of stored energy commonly referred to as adiposity signals (leptin, insulin), rhythmic signals (cyclic sex hormones such as estrogen, diurnal or circadian signals), and signals associated with conditioning, environmental temperature, or ecology contribute to meal size control. Smith parts company with others considering the control of meal size by his creation of a separate category for these signals and refers to them as indirect controls [116]. The “indirect” designation is employed to contrast with “direct” and to define a specific relationship between the mechanism of effect for these signals and the neural processing of the satiation signals arising from direct contact of ingested food within the GI tract. Smith describes the intake inhibitory impact of these signals as indirect because he views their action as modulating or amplifying the neural processing of direct (a.k.a. satiation) signals as opposed to their having an independent behavioral action of their own. This idea is empirically generative as it suggests experiments that may better define the neural pathways and signaling cascades that control the termination of feeding behavior and perhaps by so doing, these notions may inform the selection of new drugs to more effectively treat obesity. The balance of this article explores the neural pathways and the neurochemical signals that mediate the food intake inhibitory actions of satiation signals and the interaction between adiposity signals and satiation signals.

Section snippets

The neural circuits mediating the meal size effects of satiation signals

The idea that hypothalamic neurons play a critical role in the neural control of feeding and in meal size control specifically, is one that has been with us for quite some time having been established by pioneering work early in the 20th century. The analysis of the functional connection between human hyperphagia and obesity and the contribution of pituitary and/or hypothalamic tumors led a number of investigators to conclude that hypothalamic neurons contribute to the physiological control of

Caudal brainstem circuits are sufficient for meal size control

As stated earlier, vagal afferent signals are first processed centrally by the neurons of the NTS; these neurons project to and influence other neurons of the ascending visceral afferent pathway that include hypothalamic and other basal forebrain neurons. Despite the direct neural connection between the vagal afferent processing NTS neurons and the pre-oral motor neurons of the parvocellular and intermediate reticular formation (PCRt, IRt) that contribute to determining whether the oral motor

NTS neurons process satiation signals and project to oral motor control neurons in the parvocellular and intermediate reticular formation

The data from decerebrate experiments provide a rationale for focusing attention on the contribution of NTS neurons to a more anatomically distributed model of the neural control of meal size than that offered by the arcuate perspective. The NTS is a made up of a number of cytoarchitectonically defined subnuclei that are located in the dorsal medial medulla, ventral to the area postrema and the 4th ventricle and dorsal to the autonomic and somatic efferent systems of the dorsal motor nucleus of

Hindbrain AMPK signaling contributes to the intake-suppressive effect of leptin

Having identified a population of neurons that responds to both leptin and GI-triggered satiation signals and shown that leptin signaling in these neurons amplifies the intake inhibitory effects of gastric distention and of intestinal nutrient stimulation we are proceeding in several directions to further develop support for the hypothesis mNTS neurons contribute to the neural control of food intake.

The potentiation of the intake inhibitory effects of GI satiation signals by leptin is likely

Endogenous leptin signaling in the NTS contributes to the meal size effects of CCK and to the control of baseline food intake

The NTS leptin data reviewed thus far – that targeted exogenous delivery of leptin to a population of LepRb-expressing mNTS neurons reduces food intake, reduces pAMPK activity, and amplifies the meal size reducing effects of satiation signals – suggests that leptin signaling in this brain region is relevant to intake and meal size suppressive action(s) triggered by leptin. To probe the contribution of endogenous leptin signaling in neurons of the NTS and adjacent AP to the meal size effects of

ARC leptin signaling results in changes in satiation signal sensitivity that may also contribute to leptin’s effect on meal size

As mentioned above, other LepRb-bearing nuclei appear to also contribute to leptin’s effect on feeding. Rats with leptin receptor knockdown targeted to the VTA [70], and mice with leptin receptor knockout restricted to the steroidogenic factor-1-positive neurons of VMN [40] are hyperphagic under certain conditions. Thus far, however, there is no indication that an alteration in satiation signal processing contributes to the observed hyperphagia in the VTA and VMN models. By contrast, a case for

Caudal brainstem melanocortin receptors contribute to the meal size effect of CCK

The action of melanocortin ligands on their CNS receptors (MC3/4-Rs) provides another critical component of the CNS control of energy balance; effects on food intake as well as energy expenditure are observed with MC3/4R ligand treatments. Polymorphisms and mutations of the POMC gene, as well as mutations of MC4-R are associated with human obesity [32], [67], [68]. The induction of similar mutations in mice also results in hyperphagia, reduced energy expenditure, and an obese phenotype [72],

Caudal brainstem melanocortin receptors contribute to the intake inhibitory effect of hindbrain leptin signaling

Data reviewed here support the conclusion that meal size control arises from leptin receptor signaling in NTS and in ARC and from caudal brainstem MC4-R signaling. MC-Rs are hypothesized to be downstream mediators of the effects of hypothalamic leptin signaling [129], [132], [62], [122]. Support for this hypothesis comes from experiments that show that: leptin signaling in these neurons increases POMC gene expression [125], [43] and pretreatment with MC-R antagonist attenuates the anorexic

Oxytocinergic projections from hypothalamus to NTS may also contribute to the meal size effects of leptin treatment and vagal afferent signaling

The data just reviewed provide an anatomical link between hypothalamic leptin signaling and the activation of hindbrain MC-Rs via descending melanocortinergic projections. These data suggest a putative mechanism to account for the enhanced sensitivity to CCK observed in the experiments of Morton et al. [97]. The link between hypothalamic leptin signaling and hindbrain control of meal size and sensitivity to satiation signals is not restricted to a role for melanocortin signaling and has been

Vagal afferent neurons are responsive to leptin and provide another site of integration for leptin and GI satiation signaling

Data reviewed above focus on two anatomically distributed sites of leptin signaling that provide a substrate for the amplification of the neural processing of GI satiation signals and the resulting reduction of meal size driven by leptin. Recent discoveries of: (1) a GI source of leptin and (2) LepRb expression in vagal afferent neurons brings attention to a third site of leptin-GI signal integration of potential direct relevance to the neural control of meal size. Bado and colleagues [6]

Conclusions: integrations performed by NTS neurons are central to meal size control

This review examines the neural control of meal size and the integration of two principal sources of that control – GI satiation signals and leptin signaling. Four types of integrations are considered and each involves NTS neurons. Data discussed show that NTS neurons integrate information arising from ascending GI-derived vagal afferent projections and descending neuropeptidergic projections from leptin-activated medial hypothalamic neurons. Two additional sources of information that are

Perspective

The history of research on the neural control of food intake reveals a strong tendency to emphasize the contribution of a single brain region, often a specific set of medial hypothalamic neurons, and to avoid simultaneous consideration of the contributions of other brain regions to the control of meal size specifically and food intake more generally. This tendency is, of course, not unique to this field and likely derives from the reductionist strategies scientists employ. Our methods, no

Acknowledgments

I sincerely thank Dr. Matthew Hayes for his critical reading of the manuscript and the useful suggestions he provided during its development. I am grateful to the colleagues and collaborators without whom the work discussed involving our laboratory would not have been possible – my sincere thanks to Karolina Skibicka, Matt Hayes, Kendra Bence, Christian Bjorbaek, Lihong Huo, Ralph DiLeone, Hans-Rudi Berthoud, Lisa Maeng, Amber Alhadeff, and Theresa Leichner. This work was supported by NIH-DK

References (164)

  • G. Burdyga et al.

    Expression of the leptin receptor in rat and human nodose ganglion neurones

    Neuroscience

    (2002)
  • N.Y. Calingasan et al.

    Hypothalamic paraventricular nucleus lesions do not abolish glucoprivic or lipoprivic feeding

    Brain Res.

    (1992)
  • O.B. Chaudhri et al.

    Differential hypothalamic neuronal activation following peripheral injection of GLP-1 and oxyntomodulin in mice detected by manganese-enhanced magnetic resonance imaging

    Biochem. Biophys. Res. Commun.

    (2006)
  • M. Chen et al.

    Central nervous system imprinting of the G protein G(s)alpha and its role in metabolic regulation

    Cell Metab.

    (2009)
  • H. Dhillon et al.

    Leptin directly activates SF1 neurons in the VMH, and this action by leptin is required for normal body-weight homeostasis

    Neuron

    (2006)
  • M.H. Emond et al.

    Fos-like immunoreactivity in vagal and hypoglossal nuclei in different feeding states: a quantitative study

    Physiol. Behav.

    (1995)
  • S. Fulton et al.

    Leptin regulation of the mesoaccumbens dopamine pathway

    Neuron

    (2006)
  • H.J. Grill et al.

    The neuroanatomical axis for control of energy balance

    Front. Neuroendocrinol.

    (2002)
  • H.J. Grill et al.

    The taste reactivity test. II. Mimetic responses to gustatory stimuli in chronic thalamic and chronic decerebrate rats

    Brain Res.

    (1978)
  • H.J. Grill et al.

    Imaging obesity: fMRI, food reward, and feeding

    Cell Metab.

    (2007)
  • L.K. Heisler et al.

    Serotonin reciprocally regulates melanocortin neurons to modulate food intake

    Neuron

    (2006)
  • G.E. Hermann et al.

    Convergence of vagal and gustatory afferent input within the parabrachial nucleus of the rat

    J. Auton. Nerv. Syst.

    (1985)
  • G.E. Hermann et al.

    Hepatic-vagal and gustatory afferent interactions in the brainstem of the rat

    J. Auton. Nerv. Syst.

    (1983)
  • J.D. Hommel et al.

    Leptin receptor signaling in midbrain dopamine neurons regulates feeding

    Neuron

    (2006)
  • D. Huszar et al.

    Targeted disruption of the melanocortin-4 receptor results in obesity in mice

    Cell

    (1997)
  • S.A. Joseph et al.

    Immunocytochemical localization of ACTH perikarya in nucleus tractus solitarius: evidence for a second opiocortin neuronal system

    Neurosci. Lett.

    (1983)
  • B.B. Kahn et al.

    AMP-activated protein kinase: ancient energy gauge provides clues to modern understanding of metabolism

    Cell Metab.

    (2005)
  • J.M. Kaplan et al.

    Swallowing during ongoing fluid ingestion in the rat

    Brain Res.

    (1989)
  • G.M. Leinninger et al.

    Leptin acts via leptin receptor-expressing lateral hypothalamic neurons to modulate the mesolimbic dopamine system and suppress feeding

    Cell Metab.

    (2009)
  • M.G. Myers et al.

    The geometry of leptin action in the brain: more complicated than a simple ARC

    Cell Metab.

    (2009)
  • B.K. Anand et al.

    Hypothalamic control of food intake in rats and cats

    Yale J. Biol. Med.

    (1951)
  • S.M. Appleyard et al.

    Proopiomelanocortin neurons in nucleus tractus solitarius are activated by visceral afferents: regulation by cholecystokinin and opioids

    J. Neurosci.

    (2005)
  • T. Babic et al.

    Phenotype of neurons in the nucleus of the solitary tract that express CCK-induced activation of the ERK signaling pathway

    Am. J. Physiol. Regul. Integr. Comp. Physiol.

    (2009)
  • A. Bado et al.

    The stomach is a source of leptin

    Nature

    (1998)
  • M.D. Barrachina et al.

    Synergistic interaction between leptin and cholecystokinin to reduce short-term food intake in lean mice

    Proc. Natl. Acad. Sci. USA

    (1997)
  • J.M. Barragan et al.

    Neural contribution to the effect of glucagon-like peptide-1-(7–36) amide on arterial blood pressure in rats

    Am. J. Physiol.

    (1999)
  • G.S. Barsh et al.

    Genetic approaches to studying energy balance: perception and integration

    Nat. Rev. Genet.

    (2002)
  • R.L. Batterham et al.

    PYY modulation of cortical and hypothalamic brain areas predicts feeding behaviour in humans

    Nature

    (2007)
  • H.R. Berthoud

    The Caudal Brainstem and the Control of Food Intake and Energy Balance

    (2004)
  • H.R. Berthoud et al.

    The brain, appetite, and obesity

    Annu. Rev. Psychol.

    (2008)
  • J.E. Blevins et al.

    Evidence that paraventricular nucleus oxytocin neurons link hypothalamic leptin action to caudal brain stem nuclei controlling meal size

    Am. J. Physiol. Regul. Integr. Comp. Physiol.

    (2004)
  • G.A. Bray et al.

    Manifestations of hypothalamic obesity in man: a comprehensive investigation of eight patients and a reveiw of the literature

    Medicine (Baltimore)

    (1975)
  • A.A. Butler et al.

    Melanocortin-4 receptor is required for acute homeostatic responses to increased dietary fat

    Nat. Neurosci.

    (2001)
  • M. Buyse et al.

    Expression and regulation of leptin receptor proteins in afferent and efferent neurons of the vagus nerve

    Eur. J. Neurosci.

    (2001)
  • Z. Chen et al.

    Inactivation of amino acid receptors in medullary reticular formation modulates and suppresses ingestion and rejection responses in the awake rat

    Am. J. Physiol. Regul. Integr. Comp. Physiol.

    (2003)
  • Z. Chen et al.

    Muscimol infusions in the brain stem reticular formation reversibly block ingestion in the awake rat

    Am. J. Physiol. Regul. Integr. Comp. Physiol.

    (2001)
  • P. Cohen et al.

    Selective deletion of leptin receptor in neurons leads to obesity

    J. Clin. Invest.

    (2001)
  • A.G. Comuzzie et al.

    A major quantitative trait locus determining serum leptin levels and fat mass is located on human chromosome 2

    Nat. Genet.

    (1997)
  • R.D. Cone

    Studies on the physiological functions of the melanocortin system

    Endocr. Rev.

    (2006)
  • E.E. Coons et al.

    Lateral hypothalamus: learning of food-seeking response motivated by electrical stimulation

    Science

    (1965)
  • Cited by (111)

    • O-GlcNAc cycling mediates energy balance by regulating caloric memory

      2021, Appetite
      Citation Excerpt :

      Most caloric regulation instead results from how much food is ingested per meal (Moran, 2009; Woods, Seeley, Porte, & Schwartz, 1998). The timing of satiation depends on a cascade of neuroendocrine signals from the gut, adipose tissue and other organs that carry information about dietary calories and body energy stores (Fig. 1A) (Chaudhri, Salem, Murphy, & Bloom, 2008; Grill, 2010). Specialized neurocircuitry in the brain processes the information and then stops the eating (Abizaid & Horvath, 2008; Sohn, Elmquist, & Williams, 2013).

    View all citing articles on Scopus
    View full text