Leptin is associated with exaggerated brain reward and emotion responses to food images in adolescent obesity

Ania M Jastreboff, Cheryl Lacadie, Dongju Seo, Jessica Kubat, Michelle A Van Name, Cosimo Giannini, Mary Savoye, R Todd Constable, Robert S Sherwin, Sonia Caprio, Rajita Sinha, Ania M Jastreboff, Cheryl Lacadie, Dongju Seo, Jessica Kubat, Michelle A Van Name, Cosimo Giannini, Mary Savoye, R Todd Constable, Robert S Sherwin, Sonia Caprio, Rajita Sinha

Abstract

Objective: In the U.S., an astonishing 12.5 million children and adolescents are now obese, predisposing 17% of our nation's youth to metabolic complications of obesity, such as type 2 diabetes (T2D). Adolescent obesity has tripled over the last three decades in the setting of food advertising directed at children. Obese adults exhibit increased brain responses to food images in motivation-reward pathways. These neural alterations may be attributed to obesity-related metabolic changes, which promote food craving and high-calorie food (HCF) consumption. It is not known whether these metabolic changes affect neural responses in the adolescent brain during a crucial period for establishing healthy eating behaviors.

Research design and methods: Twenty-five obese (BMI 34.4 kg/m2, age 15.7 years) and fifteen lean (BMI 20.96 kg/m2, age 15.5 years) adolescents underwent functional MRI during exposure to HCF, low-calorie food (LCF), and nonfood (NF) visual stimuli 2 h after isocaloric meal consumption.

Results: Brain responses to HCF relative to NF cues increased in obese versus lean adolescents in striatal-limbic regions (i.e., putamen/caudate, insula, amygdala) (P < 0.05, family-wise error [FWE]), involved in motivation-reward and emotion processing. Higher endogenous leptin levels correlated with increased neural activation to HCF images in all subjects (P < 0.05, FWE).

Conclusions: This significant association between higher circulating leptin and hyperresponsiveness of brain motivation-reward regions to HCF images suggests that dysfunctional leptin signaling may contribute to the risk of overconsumption of these foods, thus further predisposing adolescents to the development of obesity and T2D.

Trial registration: ClinicalTrials.gov NCT01808846.

© 2014 by the American Diabetes Association. Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered.

Figures

Figure 1
Figure 1
Visual food (picture) task procedure during fMRI. A series of 126 pictures (42 HCF, e.g., ice cream, pizza; 42 LCF, e.g., salads, fruits; and 42 NF, e.g., book, bicycle) was presented in random trials across six runs during the fMRI session, with each run consisting of 21 trials (7 trials per each condition).
Figure 2
Figure 2
Neural response differences in cue condition contrasts. Axial brain slices of neural activation differences in HCF versus NF in obese (A), lean (B), and obese compared with lean (C) adolescents (threshold of P < 0.05, FWE corrected). Obese versus lean individuals show increased activation in the amygdala, ventral striatum, hypothalamus, thalamus, caudate, putamen, and insula. The color scale provides t values of the functional activity. Talairach z levels indicated. IFG, inferior frontal gyrus; IPL, inferior parietal lobe; L, left; R, right.
Figure 3
Figure 3
Whole-brain, voxel-based correlation analyses with leptin. Scatterplot shows the correlation between neural activation (β-weights) (HCF vs. NF) and fasting leptin in all subjects in ROIs and brain maps of correlation regions: amygdala (A), hypothalamus (B), hippocampus/parahippocampus (C), posterior insula (D), striatum (E), and angular gyrus (F) (P < 0.05, FWE corrected). β-Weight values are depicted on the x-axis.

References

    1. Ogden CL, Carroll MD, Curtin LR, Lamb MM, Flegal KM. Prevalence of high body mass index in US children and adolescents, 2007-2008. JAMA 2010;303:242–249
    1. Weiss R, Dziura J, Burgert TS, et al. . Obesity and the metabolic syndrome in children and adolescents. N Engl J Med 2004;350:2362–2374
    1. Williams DE, Cadwell BL, Cheng YJ, et al. . Prevalence of impaired fasting glucose and its relationship with cardiovascular disease risk factors in US adolescents, 1999-2000. Pediatrics 2005;116:1122–1126
    1. May AL, Kuklina EV, Yoon PW. Prevalence of cardiovascular disease risk factors among US adolescents, 1999-2008. Pediatrics 2012;129:1035–1041
    1. D’Adamo E, Caprio S. Type 2 diabetes in youth: epidemiology and pathophysiology. Diabetes Care 2011;34(Suppl. 2):S161–S165
    1. Zeitler P, Hirst K, Pyle L, et al. TODAY Study Group . A clinical trial to maintain glycemic control in youth with type 2 diabetes. N Engl J Med 2012;366:2247–2256
    1. Schwartz MW, Woods SC, Porte D, Jr, Seeley RJ, Baskin DG. Central nervous system control of food intake. Nature 2000;404:661–671
    1. Figlewicz DP, Woods SC. Adiposity signals and brain reward mechanisms. Trends Pharmacol Sci 2000;21:235–236
    1. Carnell S, Gibson C, Benson L, Ochner CN, Geliebter A. Neuroimaging and obesity: current knowledge and future directions. Obes Rev 2012;13:43–56
    1. Wang GJ, Volkow ND, Logan J, et al. . Brain dopamine and obesity. Lancet 2001;357:354–357
    1. Martin LE, Holsen LM, Chambers RJ, et al. . Neural mechanisms associated with food motivation in obese and healthy weight adults. Obesity (Silver Spring) 2010;18:254–260
    1. Simmons WK, Martin A, Barsalou LW. Pictures of appetizing foods activate gustatory cortices for taste and reward. Cereb Cortex 2005;15:1602–1608
    1. Brownell KD, Horgen KB. Food Fight: The Inside Story of the Food Industry, America's Obesity Crisis, and What We Can Do About It. Chicago, Contemporary Books, 2004
    1. Halford JC, Boyland EJ, Hughes G, Oliveira LP, Dovey TM. Beyond-brand effect of television (TV) food advertisements/commercials on caloric intake and food choice of 5-7-year-old children. Appetite 2007;49:263–267
    1. Halford JC, Gillespie J, Brown V, Pontin EE, Dovey TM. Effect of television advertisements for foods on food consumption in children. Appetite 2004;42:221–225
    1. Lobstein T, Dibb S. Evidence of a possible link between obesogenic food advertising and child overweight. Obes Rev 2005;6:203–208
    1. Jastreboff AM, Sinha R, Lacadie C, Small DM, Sherwin RS, Potenza MN. Neural correlates of stress- and food cue-induced food craving in obesity: association with insulin levels. Diabetes Care 2013;36:394–402
    1. Bruce AS, Lepping RJ, Bruce JM, et al. Brain responses to food logos in obese and healthy weight children. J Pediatr 2013;162:759–764.e2
    1. Gautron L, Elmquist JK. Sixteen years and counting: an update on leptin in energy balance. J Clin Invest 2011;121:2087–2093
    1. Farooqi IS, Bullmore E, Keogh J, Gillard J, O’Rahilly S, Fletcher PC. Leptin regulates striatal regions and human eating behavior. Science 2007;317:1355.
    1. Plum L, Belgardt BF, Brüning JC. Central insulin action in energy and glucose homeostasis. J Clin Invest 2006;116:1761–1766
    1. Jauch-Chara K, Friedrich A, Rezmer M, et al. . Intranasal insulin suppresses food intake via enhancement of brain energy levels in humans. Diabetes 2012;61:2261–2268
    1. Hallschmid M, Benedict C, Schultes B, Fehm HL, Born J, Kern W. Intranasal insulin reduces body fat in men but not in women. Diabetes 2004;53:3024–3029
    1. Schwartz MW. Biomedicine. Staying slim with insulin in mind. Science 2000;289:2066–2067
    1. Friedman JM, Halaas JL. Leptin and the regulation of body weight in mammals. Nature 1998;395:763–770
    1. Elmquist JK, Bjørbaek C, Ahima RS, Flier JS, Saper CB. Distributions of leptin receptor mRNA isoforms in the rat brain. J Comp Neurol 1998;395:535–547
    1. Figlewicz DP, Evans SB, Murphy J, Hoen M, Baskin DG. Expression of receptors for insulin and leptin in the ventral tegmental area/substantia nigra (VTA/SN) of the rat. Brain Res 2003;964:107–115
    1. Hommel JD, Trinko R, Sears RM, et al. . Leptin receptor signaling in midbrain dopamine neurons regulates feeding. Neuron 2006;51:801–810
    1. Redgrave P, Coizet V. Brainstem interactions with the basal ganglia. Parkinsonism Relat Disord 2007;13(Suppl. 3):S301–S305
    1. Malik S, McGlone F, Bedrossian D, Dagher A. Ghrelin modulates brain activity in areas that control appetitive behavior. Cell Metab 2008;7:400–409
    1. Batterham RL, ffytche DH, Rosenthal JM, et al. . PYY modulation of cortical and hypothalamic brain areas predicts feeding behaviour in humans. Nature 2007;450:106–109
    1. Breda E, Cavaghan MK, Toffolo G, Polonsky KS, Cobelli C. Oral glucose tolerance test minimal model indexes of beta-cell function and insulin sensitivity. Diabetes 2001;50:150–158
    1. Fisher JO, Johnson RK, Lindquist C, Birch LL, Goran MI. Influence of body composition on the accuracy of reported energy intake in children. Obes Res 2000;8:597–603
    1. Matsuda M, DeFronzo RA. Insulin sensitivity indices obtained from oral glucose tolerance testing: comparison with the euglycemic insulin clamp. Diabetes Care 1999;22:1462–1470
    1. Page KA, Seo D, Belfort-DeAguiar R, et al. . Circulating glucose levels modulate neural control of desire for high-calorie foods in humans. J Clin Invest 2011;121:4161–4169
    1. Hommer RE, Seo D, Lacadie CM, et al. . Neural correlates of stress and favorite-food cue exposure in adolescents: a functional magnetic resonance imaging study. Hum Brain Mapp 2013;34:2561–2573
    1. Lubsen J, Vohr B, Myers E, et al. . Microstructural and functional connectivity in the developing preterm brain. Semin Perinatol 2011;35:34–43
    1. Myers EH, Hampson M, Vohr B, et al. . Functional connectivity to a right hemisphere language center in prematurely born adolescents. Neuroimage 2010;51:1445–1452
    1. Cox RW. AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. Comput Biomed Res 1996;29:162–173
    1. Giannini C, Weiss R, Cali A, et al. . Evidence for early defects in insulin sensitivity and secretion before the onset of glucose dysregulation in obese youths: a longitudinal study. Diabetes 2012;61:606–614
    1. Ahima RS. Revisiting leptin’s role in obesity and weight loss. J Clin Invest 2008;118:2380–2383
    1. Simon SA, de Araujo IE, Gutierrez R, Nicolelis MA. The neural mechanisms of gustation: a distributed processing code. Nat Rev Neurosci 2006;7:890–901
    1. Sherman SM. The thalamus is more than just a relay. Curr Opin Neurobiol 2007;17:417–422
    1. Seghier ML. The angular gyrus: multiple functions and multiple subdivisions. Neuroscientist 2013;19:43–61
    1. Gautier JF, Del Parigi A, Chen K, et al. . Effect of satiation on brain activity in obese and lean women. Obes Res 2001;9:676–684
    1. Tataranni PA, Gautier JF, Chen K, et al. . Neuroanatomical correlates of hunger and satiation in humans using positron emission tomography. Proc Natl Acad Sci USA 1999;96:4569–4574
    1. Burgess N, Maguire EA, O’Keefe J. The human hippocampus and spatial and episodic memory. Neuron 2002;35:625–641
    1. Havrankova J, Roth J, Brownstein M. Insulin receptors are widely distributed in the central nervous system of the rat. Nature 1978;272:827–829
    1. Anthony K, Reed LJ, Dunn JT, et al. . Attenuation of insulin-evoked responses in brain networks controlling appetite and reward in insulin resistance: the cerebral basis for impaired control of food intake in metabolic syndrome? Diabetes 2006;55:2986–2992
    1. Pagotto U. Where does insulin resistance start? The brain. Diabetes Care 2009;32(Suppl. 2):S174–S177
    1. Woods SC, Seeley RJ, Baskin DG, Schwartz MW. Insulin and the blood-brain barrier. Curr Pharm Des 2003;9:795–800
    1. Casey BJ, Jones RM. Neurobiology of the adolescent brain and behavior: implications for substance use disorders. J Am Acad Child Adolesc Psychiatry 2010;49:1189–1201; quiz 1285
    1. Apolzan JW, Harris RB. Rapid onset and reversal of peripheral and central leptin resistance in rats offered chow, sucrose solution, and lard. Appetite 2013;60:65–73

Source: PubMed

3
Abonneren