Literature DB >> 34480567

Eating for hunger or pleasure: a Serotonin Model.

Zili Yan1, Yanlin He2, Xing Cai3, Gang Shu4, Yong Xu1,5.   

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Year:  2021        PMID: 34480567      PMCID: PMC8648382          DOI: 10.1093/jmcb/mjab055

Source DB:  PubMed          Journal:  J Mol Cell Biol        ISSN: 1759-4685            Impact factor:   6.216


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Obesity, resulting from an imbalance between energy intake and expenditure, represents a major health crisis to our society, due to its alarmingly high prevalence and comorbidities, including diabetes, cardiovascular diseases, cancer, and COVID-19. Better understanding the neurobiological mechanisms for feeding behavior is essential for developing rational strategies to combat obesity and related comorbidities. Agouti-related peptide (AgRP) neurons located in the arcuate nucleus of the hypothalamus (ARH) have received perhaps the most attention as a master regulator of feeding behavior. It is well known that AgRP neurons are regulated by multiple hormones that reflect the body’s energy storage or nutritional state, e.g., leptin, insulin, ghrelin, and asprosin (Yang and Xu, 2020). AgRP neurons are activated in a calorie-deficient state (Takahashi and Cone, 2005; Yang et al., 2011; Liu et al., 2012), and activations of AgRP neurons can drive eating (Aponte et al., 2011; Krashes et al., 2011). Together, these findings support a physiological feedback pathway that regulates feeding: a calorie-deficient state (e.g. hunger) activates AgRP neurons, which in turn drive eating. However, this ‘AgRP model’ faces a challenge, as recent in vivo recordings revealed that AgRP neurons decrease their activities dramatically within a few seconds after feeding starts, or even without the food actually being consumed (Betley et al., 2015; Chen et al., 2015; Mandelblat-Cerf et al., 2015). This rapid diminishment of AgRP neuron activity (Figure 1A) raises a question regarding how feeding behavior, which usually lasts for minutes to hours, is sustained. Based on our observations reported in a recent Molecular Psychiatry article (He et al., 2021), we propose an alternative ‘Serotonin Model’, which provides physiological feedback signals for feeding control. The brain serotonin, a neurotransmitter also known as 5-hydroxytryptamine (5-HT), is mainly synthesized by neurons in the midbrain dorsal Raphe nucleus (DRN). We demonstrated that the activation of these 5-HTDRN neurons can inhibit eating (He et al., 2021). Importantly, using the in vivo recordings, we found that 5-HTDRN neurons gradually increase their activities during the 2-h feeding period (Figure 1A). In sharp contrast to the rapid and sustained inhibition of AgRP neurons, the activation of 5-HTDRN neurons occurs in a gradual and slow fashion (He et al., 2021). Importantly, the level of 5-HTDRN neuron activity is correlated to the quantity of food intake (He et al., 2021). Thus, we suggest that 5-HTDRN neurons function as a key component of a negative feedback loop. Low 5-HTDRN neuron activity permits animals to eat; as animals continue eating, 5-HTDRN neurons slowly elevate their activities to eventually terminate the meal.
Figure 1

The ‘Serotonin Model’ illustrates physiological feedback signals to regulate both hunger-driven feeding and non-hunger-driven feeding. (A) A schematic illustration of changes in activities of AgRP neurons or 5-HTDRN neurons during feeding. (B) A subgroup of 5-HTDRN neurons project to the ARH, inhibiting AgRP neurons via the 5-HT1BR and activating POMC neurons via the 5-HT2CR, to suppress hunger-driven feeding; another subgroup of 5-HTDRN neurons project to and inhibit DAVTA neurons via the 5-HT2CR to suppress non-hunger-driven feeding. The GABAA receptor and the SK3 potassium channel mediate changes in activities of the ARH-projecting and VTA-projecting 5-HTDRN neurons, respectively, during feeding. 5-HT1BR, 5-HT 1B receptor; 5-HT2CR, 5-HT 2C receptor; DA, dopamine; DRN, dorsal Raphe nucleus; GABA, γ-aminobutyric acid; POMC, proopiomelanocortin; SK3, small conductance calcium-activated potassium channel 3.

The ‘Serotonin Model’ illustrates physiological feedback signals to regulate both hunger-driven feeding and non-hunger-driven feeding. (A) A schematic illustration of changes in activities of AgRP neurons or 5-HTDRN neurons during feeding. (B) A subgroup of 5-HTDRN neurons project to the ARH, inhibiting AgRP neurons via the 5-HT1BR and activating POMC neurons via the 5-HT2CR, to suppress hunger-driven feeding; another subgroup of 5-HTDRN neurons project to and inhibit DAVTA neurons via the 5-HT2CR to suppress non-hunger-driven feeding. The GABAA receptor and the SK3 potassium channel mediate changes in activities of the ARH-projecting and VTA-projecting 5-HTDRN neurons, respectively, during feeding. 5-HT1BR, 5-HT 1B receptor; 5-HT2CR, 5-HT 2C receptor; DA, dopamine; DRN, dorsal Raphe nucleus; GABA, γ-aminobutyric acid; POMC, proopiomelanocortin; SK3, small conductance calcium-activated potassium channel 3. Feeding can be driven by hunger (a state of nutritional deficit) to ensure survival. Feeding can also be triggered by the hedonic properties of certain foods in the absence of nutritional deficit. Dysregulations of hunger-driven feeding and hedonic feeding both contribute to the development of obesity (Kenny, 2011; Alonso-Alonso et al., 2015). It has been suggested that neurocircuits controlling these two types of feeding behaviors are not completely dissociable (Rossi and Stuber, 2018). Consistent with this notion, we found that 5-HTDRN neurons can regulate a hunger-driven feeding and a non-hunger-driven feeding in animals (He et al., 2021). However, our study further illustrated two largely segregated subgroups of 5-HTDRN neurons: one subgroup send projections to the ARH and specifically inhibit feeding behavior driven by hunger, while the other subgroup of 5-HTDRN neurons project to the ventral tegmental area and reduce the intake of a high palatable diet in the non-hungry state (Figure 1B). Interestingly, these two subgroups of 5-HTDRN neurons both display slow activation during the course of hunger-driven feeding and non-hunger-driven feeding, respectively; however, they use distinct ion channels to achieve these changes (Figure 1B). In summary, our findings support a ‘Serotonin Model’ that provides physiological feedback signals to regulate both hunger-driven feeding and non-hunger-driven feeding. We further identified distinct 5-HTDRN-originated neurocircuits and disparate ion channels that can regulate these two types of feeding behaviors. These results provide a necessary framework for the development of a precision medication approach to treat obesity resulting from overeating for hunger or for pleasure. [We acknowledge Dr Wei Wang (Zhongkai University of Agriculture and Engineering) for the illustration in
  13 in total

1.  Fasting induces a large, leptin-dependent increase in the intrinsic action potential frequency of orexigenic arcuate nucleus neuropeptide Y/Agouti-related protein neurons.

Authors:  Kanji A Takahashi; Roger D Cone
Journal:  Endocrinology       Date:  2004-12-09       Impact factor: 4.736

2.  Rapid, reversible activation of AgRP neurons drives feeding behavior in mice.

Authors:  Michael J Krashes; Shuichi Koda; ChianPing Ye; Sarah C Rogan; Andrew C Adams; Daniel S Cusher; Eleftheria Maratos-Flier; Bryan L Roth; Bradford B Lowell
Journal:  J Clin Invest       Date:  2011-04       Impact factor: 14.808

3.  Fasting activation of AgRP neurons requires NMDA receptors and involves spinogenesis and increased excitatory tone.

Authors:  Tiemin Liu; Dong Kong; Bhavik P Shah; Chianping Ye; Shuichi Koda; Arpiar Saunders; Jun B Ding; Zongfang Yang; Bernardo L Sabatini; Bradford B Lowell
Journal:  Neuron       Date:  2012-02-09       Impact factor: 17.173

4.  Hunger states switch a flip-flop memory circuit via a synaptic AMPK-dependent positive feedback loop.

Authors:  Yunlei Yang; Deniz Atasoy; Helen H Su; Scott M Sternson
Journal:  Cell       Date:  2011-09-16       Impact factor: 41.582

Review 5.  Overlapping Brain Circuits for Homeostatic and Hedonic Feeding.

Authors:  Mark A Rossi; Garret D Stuber
Journal:  Cell Metab       Date:  2017-11-05       Impact factor: 27.287

6.  AGRP neurons are sufficient to orchestrate feeding behavior rapidly and without training.

Authors:  Yexica Aponte; Deniz Atasoy; Scott M Sternson
Journal:  Nat Neurosci       Date:  2010-01-05       Impact factor: 24.884

7.  Arcuate hypothalamic AgRP and putative POMC neurons show opposite changes in spiking across multiple timescales.

Authors:  Yael Mandelblat-Cerf; Rohan N Ramesh; Christian R Burgess; Paola Patella; Zongfang Yang; Bradford B Lowell; Mark L Andermann
Journal:  Elife       Date:  2015-07-10       Impact factor: 8.140

Review 8.  Food reward system: current perspectives and future research needs.

Authors:  Miguel Alonso-Alonso; Stephen C Woods; Marcia Pelchat; Patricia Sue Grigson; Eric Stice; Sadaf Farooqi; Chor San Khoo; Richard D Mattes; Gary K Beauchamp
Journal:  Nutr Rev       Date:  2015-04-09       Impact factor: 7.110

9.  Neurons for hunger and thirst transmit a negative-valence teaching signal.

Authors:  J Nicholas Betley; Shengjin Xu; Zhen Fang Huang Cao; Rong Gong; Christopher J Magnus; Yang Yu; Scott M Sternson
Journal:  Nature       Date:  2015-04-27       Impact factor: 49.962

10.  The central melanocortin system and human obesity.

Authors:  Yongjie Yang; Yong Xu
Journal:  J Mol Cell Biol       Date:  2020-10-01       Impact factor: 6.216

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