Abstract
We developed an assay for quantifying the reward value of nutrient and used it to analyze the effects of metabolic state and leptin. In this assay, mice chose between two sippers, one of which dispensed water and was coupled to optogenetic activation of dopaminergic (DA) neurons and the other of which dispensed natural or artificial sweeteners. This assay measured the reward value of sweeteners relative to lick-induced optogenetic activation of DA neurons. Mice preferred optogenetic stimulation of DA neurons to sucralose, but not to sucrose. However, the mice preferred sucralose plus optogenetic stimulation versus sucrose. We found that food restriction increased the value of sucrose relative to sucralose plus optogenetic stimulation, and that leptin decreased it. Our data suggest that leptin suppresses the ability of sucrose to drive taste-independent DA neuronal activation and provide new insights into the mechanism of leptin's effects on food intake.
This is a preview of subscription content, access via your institution
Relevant articles
Open Access articles citing this article.
-
Cerebellar Prediction and Feeding Behaviour
The Cerebellum Open Access 19 September 2022
-
Brain circuits for promoting homeostatic and non-homeostatic appetites
Experimental & Molecular Medicine Open Access 26 April 2022
-
The preference for sugar over sweetener depends on a gut sensor cell
Nature Neuroscience Open Access 13 January 2022
Access options
Subscribe to this journal
Receive 12 print issues and online access
$189.00 per year
only $15.75 per issue
Rent or buy this article
Get just this article for as long as you need it
$39.95
Prices may be subject to local taxes which are calculated during checkout







References
Cameron, J.D. et al. The effects of prolonged caloric restriction leading to weight-loss on food hedonics and reinforcement. Physiol. Behav. 94, 474–480 (2008).
Epstein, L.H. et al. Effects of deprivation on hedonics and reinforcing value of food. Physiol. Behav. 78, 221–227 (2003).
Ren, X. et al. Nutrient selection in the absence of taste receptor signaling. J. Neurosci. 30, 8012–8023 (2010).
Rozin, P. Acquisition of food preferences and attitudes to food. Int. J. Obes. 4, 356–363 (1980).
Umabiki, M. et al. The improvement of sweet taste sensitivity with decrease in serum leptin levels during weight loss in obese females. Tohoku J. Exp. Med. 220, 267–271 (2010).
Berridge, K.C. Measuring hedonic impact in animals and infants: microstructure of affective taste reactivity patterns. Neurosci. Biobehav. Rev. 24, 173–198 (2000).
Glimcher, P.W. & Rustichini, A. Neuroeconomics: the consilience of brain and decision. Science 306, 447–452 (2004).
Padoa-Schioppa, C. & Assad, J.A. Neurons in the orbitofrontal cortex encode economic value. Nature 441, 223–226 (2006).
Padoa-Schioppa, C. & Assad, J.A. The representation of economic value in the orbitofrontal cortex is invariant for changes of menu. Nat. Neurosci. 11, 95–102 (2008).
Roesch, M.R., Calu, D.J. & Schoenbaum, G. Dopamine neurons encode the better option in rats deciding between differently delayed or sized rewards. Nat. Neurosci. 10, 1615–1624 (2007).
Friedman, J.M. Modern science versus the stigma of obesity. Nat. Med. 10, 563–569 (2004).
Farooqi, I.S. et al. Leptin regulates striatal regions and human eating behavior. Science 317, 1355 (2007).
Fulton, S. et al. Leptin regulation of the mesoaccumbens dopamine pathway. Neuron 51, 811–822 (2006).
Hommel, J.D. et al. Leptin receptor signaling in midbrain dopamine neurons regulates feeding. Neuron 51, 801–810 (2006).
Zhang, F. et al. Channelrhodopsin-2 and optical control of excitable cells. Nat. Methods 3, 785–792 (2006).
Tsai, H. et al. Phasic firing in dopaminergic neurons is sufficient for behavioral conditioning. Science 324, 1080–1084 (2009).
Lee, J.H. et al. Global and local fMRI signals driven by neurons defined optogenetically by type and wiring. Nature 465, 788–792 (2011).
de Araujo, I.E. et al. Food reward in the absence of taste receptor signaling. Neuron 57, 930–941 (2008).
Shigemura, N. et al. Expression of leptin receptor (Ob-R) isoforms and signal transducers and activators of transcription (STATs) mRNAs in the mouse taste buds. Arch. Histol. Cytol. 66, 253–260 (2003).
Sclafani, A. Post-ingestive positive controls of ingestive behavior. Appetite 36, 79–83 (2001).
Figlewicz, D.P. et al. Leptin reverses sucrose-conditioned place preference in food-restricted rats. Physiol. Behav. 73, 229–234 (2001).
Hodos, W. Progressive ratio as a measure of reward strength. Science 134, 943–944 (1961).
Berridge, K.C. 'Liking' and 'wanting' food rewards: brain substrates and roles in eating disorders. Physiol. Behav. 97, 537–550 (2009).
Finlayson, G., King, N. & Blundell, J.E. Liking vs. wanting food: importance for human appetite control and weight regulation. Neurosci. Biobehav. Rev. 31, 987–1002 (2007).
Berridge, K.C. The debate over dopamine's role in reward: the case for incentive salience. Psychopharmacology (Berl). 191, 391–431 (2007).
Wise, R.A. Dopamine and reward: the anhedonia hypothesis 30 years on. Neurotox. Res. 14, 169–183 (2008).
Fulton, S., Woodside, B. & Shizgal, P. Modulation of brain reward circuitry by leptin. Science 287, 125–128 (2000).
Fulton, S. et al. Food restriction and leptin impact brain reward circuitry in lean and obese Zucker rats. Behav Brain Res. 155, 319–329 (2004).
Figlewicz, D.P. et al. Intraventricular insulin and leptin decrease sucrose self-administration in rats. Physiol. Behav. 89, 611–616 (2006).
Lydall, E.S., Gilmour, G. & Dwyer, D.M. Analysis of licking microstructure provides no evidence for a reduction in reward value following acute or sub-chronic phencyclidine administration. Psychopharmacology (Berl). 209, 153–162 (2010).
Glimcher, P.W. & Rustichini, A. Neuroeconomics: the consilience of brain and decision. Science 306, 447–452 (2004).
Sugrue, L.P., Corrado, G.S. & Newsome, W.T. Choosing the greater of two goods: neural currencies for valuation and decision making. Nat. Rev. Neurosci. 6, 363–375 (2005).
Ventura, E.E., Davis, J.N. & Goran, M.I. Sugar content of popular sweetened beverages based on objective laboratory analysis: focus on fructose content. Obesity (Silver Spring) 19, 687 (2010).
Eric Walters, D. et al. Sweeteners: Discovery, Molecular Design, and Chemoreception (Oxford University Press, 1991).
Bukowiecki, L.J. et al. Effects of sucrose, caffeine, and cola beverages on obesity, cold resistance, and adipose tissue cellularity. Am. J. Physiol. 244, R500–R507 (1983).
Glencoe, C. Glencoe Chemistry: Matter and Change (McGraw Hill, New York, 2002).
Servant, G. et al. Positive allosteric modulators of the human sweet taste receptor enhance sweet taste. Proc. Natl. Acad. Sci. USA 107, 4746–4751 (2010).
Nie, Y. et al. Distinct contributions of T1R2 and T1R3 taste receptor subunits to the detection of sweet stimuli. Curr. Biol. 15, 1948–1952 (2005).
Nelson, G. et al. Mammalian sweet taste receptors. Cell 106, 381–390 (2001).
Weijnen, J.A. Lick sensors as tools in behavioral and neuroscience research. Physiol. Behav. 46, 923–928 (1989).
Bartoshuk, L.M. Bitter taste of saccharin related to the genetic ability to taste the bitter substance 6-n-propylthiouracil. Science 205, 934–935 (1979).
Li, X. et al. Human receptors for sweet and umami taste. Proc. Natl. Acad. Sci. USA 99, 4692–4696 (2002).
Bellisle, F. & Drewnowski, A. Intense sweeteners, energy intake and the control of body weight. Eur. J. Clin. Nutr. 61, 691–700 (2007).
Haley, S. Sweetener Consumption in the United States (Electronic Outlook Report from the Economic Research Service) 1–19 (USDA, 2005).
Lewis, S.R. et al. Genetic variance contributes to ingestive processes: a survey of 2-deoxy-D-glucose-induced feeding in eleven inbred mouse strains. Physiol. Behav. 87, 595–601 (2006).
Abizaid, A. et al. Ghrelin modulates the activity and synaptic input organization of midbrain dopamine neurons while promoting appetite. J. Clin. Invest. 116, 3229–3239 (2006).
Acknowledgements
We thank F. Pestilli for helping with the bootstrap analysis. We thank the Klarman Family Foundation for Eating Disorders (KFFfED) for supporting this work. A.I.D. was supported by Fundação para a Ciência e Tecnologia (Portugal) and KFFfED. J.V. was supported by KFFfED. X.R. and I.E.d.A. were supported by US National Institutes of Health grant DC009997 to I.E.d.A. F.Z., V.G. and K.D. were supported by the US National Institutes of Health (grant MH075957), the Gatsby Foundation and Defense Advanced Research Projects Agency. H.U.V. was partially supported by the Nancy M. and Samuel C. Fleming Research Scholar Award in Intercampus Collaborations.
Author information
Authors and Affiliations
Contributions
A.I.D. contributed to all data. J.V. collected behavioral data. H.U.V. collected and analyzed the ofMRI data and generated the graphs and statistical parametric maps in Figure 1c,d. F.Z., V.G. and K.D. provided viral vectors. X.R. and I.E.d.A. contributed to Figure 2a. A.D., I.E.d.A. and J.F. wrote the manuscript.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing financial interests.
Supplementary information
Supplementary Text and Figures
Supplementary Figures 1–14 (PDF 5462 kb)
Rights and permissions
About this article
Cite this article
Domingos, A., Vaynshteyn, J., Voss, H. et al. Leptin regulates the reward value of nutrient. Nat Neurosci 14, 1562–1568 (2011). https://doi.org/10.1038/nn.2977
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1038/nn.2977
This article is cited by
-
The preference for sugar over sweetener depends on a gut sensor cell
Nature Neuroscience (2022)
-
The neural basis of sugar preference
Nature Reviews Neuroscience (2022)
-
Brain circuits for promoting homeostatic and non-homeostatic appetites
Experimental & Molecular Medicine (2022)
-
Food craving-like episodes during pregnancy are mediated by accumbal dopaminergic circuits
Nature Metabolism (2022)
-
Cerebellar Prediction and Feeding Behaviour
The Cerebellum (2022)