Study Identifies Neurons Controlling Food-Seeking Behaviors in Mice

  • A study of genetically engineered mice published in Nature Communications showed that a set of neurons in the midbrain called vesicular GABA transporter-expressing GABAergic neurons (or vgat l/vlPAG neurons for short) controls food-seeking and eating behaviors.
  • Activity of these neurons alone induced food-seeking behavior, including hunting and foraging for inanimate food items.
  • Their activation resulted in exploratory foraging and compulsive eating without altering other aspects of the studied mice’s behaviors.

Feeding is probably the most important activity for all living beings. In the wild, animals spend most of their awake time exploring their surroundings, searching for food. This typically includes studying new areas and new things in their surroundings and pursuing prey. Thanks to the easy availability of food in modern societies, most humans spend much less time searching for food. However, deciding what to eat, where to get the food from, and activities needed to obtain and eat food are an important part of human life as well.

 

Deciding what to eat, where to get the food from, and the activities needed to obtain and eat food are also important parts of human life

 

Foraging for food


At the turn of the century, scientific evidence pointed to the fact that living organisms have distinct “modes of operation” characterized by specific emotions, accompanying motives, and resulting behavior. The famous neuroscientist Jakk Panksepp proposed seven such biologically determined primary emotional systems (Panksepp, 2004, 2011). He named one of them Seeking.

Panksepp’s Seeking system drives the urge to explore, investigate, and make sense of the environment, motivating goal-directed behaviors. It is associated with the feeling of anticipation and excitement when pursuing desired outcomes, such as finding food, resources, or novel experiences. It is linked to the activity of the mesolimbic dopamine pathway in the brain, which plays a crucial role in reward and motivation.

Neurobiology of seeking food


Panksepp’s theory brought a very global understanding of how food-seeking behavior works. However, many details are still not well understood. A recent study demonstrated that activating a set of neurons located in the arcuate nucleus of the brain’s hypothalamus region initiates consumption of the available food (in rodents). These neurons are called Agouti-related peptide or AgRP neurons (Hedrih, 2024; Sternson & Atasoy, 2014), but they are also known as hunger neurons (see Figure 1).

 

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Figure 1. Neurons in the hypothalamus that initiate food consumption

 

However, food-seeking is a much broader set of behaviors than just food consumption. It can include a detailed exploration of the environment and hunting prey (Reis et al., 2024). Hunting behaviors in humans and animals can be very complex and involve even the most complex cognitive processes.

Older studies have already established that food-seeking is not solely triggered by a lack of nutrients in the body but that a wide array of factors and circumstances can trigger it. These include current mood, habits, available food cues, current environment, and many others (Hayashi et al., 2023; Hedrih, 2023a, 2023b; Thanarajah et al., 2023; Zhang et al., 2023).

The current study
Study author Fernando M. C. V. Reis and his colleagues wanted to examine the role of a group of neural cells found in the midbrain region of mice in food-seeking behaviorsexploration, foraging, and hunting. These cells are called vesicular GABA transporter-expressing GABAergic neurons or vgat l/vlPAG cells, for short. They are located in the midbrain’s lateral and ventrolateral periaqueductal gray subregions (see Figure 2).

 

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Figure 2. Neural cell group in the midbrain involved in food-seeking behaviors

 

These authors note that previous studies established that exploratory behaviors in mice can be reduced by inactivating zona incerta neurons, a group of heterogeneous neurons located in the zona incerta region of the subthalamus region of the brain. On the other hand, their activation causes mice to explore novelties, hunt prey (e.g., crickets), and eat non-pray food. There is another group of cells located in the medial preoptic area of the brain that also causes pursuit and following of both pray (crickets) and inedible objects (camk2a cells), and both of these groups of cells connect to the periaqaductal gray part of the midbrain. This brought the attention of study authors to the vgat l/vlPAG neurons.

The study was conducted on male and female Vgat-Cre mice aged between 2 and 6 months. Vgat-Cre mice are genetically engineered mice modified to allow researchers to target their GABAergic neurons. By activating and deactivating specific neurons in this way, researchers are able to observe the effects these neurons have on their behavior.

The study authors conducted a series of behavioral tests on these mice to examine the activity of vgat l/vlPAG neurons and study the behavior of mice when the activity of these neurons is inhibited or stimulated.

Vgat l/vlPAG neurons are more active prior to eating


Results showed that vgat l/vlPAG neurons are more active when mice engage in food-seeking behaviors (hunting, foraging, eating). This was the case both when mice hunted crickets and when they ate inanimate food. Further experiments showed that these cells are more active prior to eating than during eating.

Vgat l/vlPAG neuron activity is necessary and sufficient to activate food foraging and consumption behaviors


When the study authors used genetic manipulation to inhibit vgat l/vlPAG neurons, mice reduced their activities in hunting crickets (in one experiment), their consumption of inanimate food (walnuts in this case), and their time to start hunting crickets.

 

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Figure 3. Vgat l/vlPAG neurons activity and food-seeking behaviors

 

On the other hand, when study authors used the same technique to stimulate the activity of these neurons, mice increased both their hunting activities and consumption of inanimate food. While these genetic manipulations affected hunting, foraging, and eating behaviors, the mice’s general activity level (how much they move) was not affected.

Further investigations showed that these cells are bidirectionally connected to several other groups of cells involved in feeding, exploration, and investigation, including the already mentioned group of cells in zona incerta.

Conclusion


Overall, the study used a series of experiments on mice to demonstrate that vgat l/vlPAG neurons are crucial in initiating and controlling hunting, foraging, and eating behaviors in mice. While humans and mice are very different species, they share many physiological similarities. Discoveries like this bring science closer to fully understanding the workings of neural circuits controlling food-seeking behaviors and likely the Seeking system in humans.

The paper “Control of feeding by a bottom-up midbrainsubthalamic pathway” was authored by Fernando M. C. V. Reis, Sandra Maesta-Pereira, Matthias Ollivier, Peter J. Schuette, Ekayana Sethi, Blake A. Miranda, Emily Iniguez, Meghmik Chakerian, Eric Vaughn, Megha Sehgal, Darren C. T. Nguyen, Faith T. H. Yuan, Anita Torossian, Juliane M. Ikebara, Alexandre H. Kihara, Alcino J. Silva, Jonathan C. Kao, Baljit S. Khakh, and Avishek Adhikari.

 

References

 

Hayashi, D., Edwards, C., Emond, J. A., Gilbert-Diamond, D., Butt, M., Rigby, A., & Masterson, T. D. (2023). What Is Food Noise? A Conceptual Model of Food Cue Reactivity. Nutrients, 15(22), Article 22. https://doi.org/10.3390/nu15224809

Hedrih, V. (2023a). Are Hunger Cues Learned in Childhood? CNP Articles. https://www.nutritional-psychology.org/are-hunger-cues-learned-in-childhood/

Hedrih, V. (2023b). Food and Mood: Is the Concept of ‘Hangry’ Real? CNP Articles in Nutritional Psychology. https://www.nutritional-psychology.org/food-and-mood-is-the-concept-of-hangry-real/

Hedrih, V. (2024, March 4). Researchers Identify Neural Pathways Transmitting Anti-Inflammatory Effects of Hunger. CNP Articles in Nutritional Psychology. https://www.nutritional-psychology.org/researchers-identify-neural-pathways-transmitting-anti-inflammatory-effects-of-hunger/

Panksepp, J. (2004). Affective Neuroscience: The Foundations of Human and Animal Emotions (1st edition). Oxford University Press.

Panksepp, J. (2011). The basic emotional circuits of mammalian brains: Do animals have affective lives? Neuroscience & Biobehavioral Reviews, 35(9), 1791–1804. https://doi.org/10.1016/j.neubiorev.2011.08.003

Reis, F. M. C. V., Maesta-Pereira, S., Ollivier, M., Schuette, P. J., Sethi, E., Miranda, B. A., Iniguez, E., Chakerian, M., Vaughn, E., Sehgal, M., Nguyen, D. C. T., Yuan, F. T. H., Torossian, A., Ikebara, J. M., Kihara, A. H., Silva, A. J., Kao, J. C., Khakh, B. S., & Adhikari, A. (2024). Control of feeding by a bottom-up midbrain-subthalamic pathway. Nature Communications, 15(1), Article 1. https://doi.org/10.1038/s41467-024-46430-5

Sternson, S. M., & Atasoy, D. (2014). Agouti-related protein neuron circuits that regulate appetite. Neuroendocrinology, 100, 95–102. https://doi.org/10.1159/000369072

Thanarajah, S. E., Difeliceantonio, A. G., Albus, K., Br, J. C., Tittgemeyer, M., Small, D. M., Thanarajah, S. E., Difeliceantonio, A. G., Albus, K., Kuzmanovic, B., & Rigoux, L. (2023). Habitual daily intake of a sweet and fatty snack modulates reward processing in humans. Cell Metabolism, 35, 1–14. https://doi.org/10.1016/j.cmet.2023.02.015

Zhang, X., Wang, H., Kilpatrick, L. A., Dong, T. S., Gee, G. C., Labus, J. S., Osadchiy, V., Beltran-Sanchez, H., Wang, M. C., Vaughan, A., & Gupta, A. (2023). Discrimination exposure impacts unhealthy processing of food cues: Crosstalk between the brain and gut. Nature Mental Health, 1(11), Article 11. https://doi.org/10.1038/s44220-023-00134-9

A Vicious Cycle Between Memory and Food Intake Regulation Likely Maintains Obesity

  • A paper published in Neuroscience and Biobehavioral Reviews shows that humans have a bidirectional relationship between memory and eating
  • Memory of recent meals limits subsequent food intake, and this memory is impaired in obese individuals
  • Excessive food intake likely disrupts the functioning of the part of the hippocampus that plays a role in food-related memory, forming a vicious cycle that promotes further increased food intake

Many factors influence our decisions about when and what to eat. To a degree, these decisions depend on our subjective feelings of hunger and fullness. Still, they also depend on whether food is available and what kind, our eating habits, desires and plans, food cues, and many other things.

One often overlooked but also important factor is the memory of recent meals. In the most basic scenario, if we remember that we just had lunch, we will not have it again. However, these decisions are part of a complex behavioral pattern regulating our food intake behaviors.

How do we regulate food intake?


Scientists believe that our food intake behaviors are primarily regulated by the activities of neurons located in the hypothalamus region of the brain. For example, studies on rodents identified a set of neurons called agouti-related protein neurons that, when artificially triggered, make a rodent start eating (Hedrih, 2024; Sternson & Atasoy, 2014). These neurons are part of a complex system that involves hormones like leptin and ghrelin and various neural pathways that react to the presence or absence of nutrients in our body.

Our food intake decisions do not depend solely on the presence or absence of specific nutrients. Most individuals living in organized societies with sufficient food availability have established habits of having meals at specific times of day. Studies indicate that our bodies anticipate those times and prepare for food intake, e.g., by modifying glucose levels in the blood (Isherwood et al., 2023). We also tend to feel hungry when our usual meal time arrives (see Figure 1). For example, food anticipation can trigger a preparatory response in the body, leading to a mild increase in glucose levels as the brain signals the pancreas to release insulin. This response helps the body manage the expected influx of nutrients from the upcoming meal (Teff, 2011).

 

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Figure 1. Body changes in anticipation and preparation of food intake 

 

Often, we can develop a desire to eat if we see, smell, or taste delicious food. Sometimes, even thinking about food can make us want to eat it. In scientific terms – food cues can motivate us to eat (Hedrih, 2023). People also tend to eat when they feel bad. This is called emotional eating (Dakanalis et al., 2023; Ljubičić et al., 2023).

 

We can develop a desire to eat if we see, smell, or taste delicious food

 

Memory and food intake regulation


One of the factors important for regulating food intake is memory. Classic studies of patients with amnesia revealed that their memory dysfunction also affects appetite (Parent et al., 2022). In simple words, individuals who are unable to remember whether they had their regular meal or not might decide to have it again.

More recent studies indicate that impaired memory might play a role in the development of obesity and that specific diets known to lead to obesity also tend to produce memory impairments (Hayes et al., 2024; Hsu et al., 2015).

 

One of the most important factors for regulating food intake is memory

The current review


Marise B. Parent and her colleagues reviewed a series of studies on humans and rodents examining the links between memory and eating behaviors (Parent et al., 2022). They aimed to demonstrate a bidirectional relationship between memory functions and eating behaviors. Bidirectional, in this case, means that memory affects eating behaviors and that eating habits affect memory.

Disrupted memory and food intake


They start by reiterating the findings of classic case studies of patients with amnesia. For example, in the 1980s, a group of researchers conducted an experiment on a patient, H.M., who suffered from memory loss after undergoing brain surgery to treat epilepsy. This patient hardly ever mentioned being hungry or thirsty, even after not eating or drinking anything for quite some time. At one point, researchers offered him a meal 1 minute after he had just eaten and forgotten the previous meal. He readily accepted it and ate it. Twenty minutes after this, he could not remember having eaten anything.

However, this one patient might have been specific. His hunger ratings did not seem to depend on whether he had just eaten. In studies by these same researchers, 3 out of 4 patients with similar amnesia would report lower hunger levels after a meal. On the other hand, a different experiment a decade later reported about a patient with amnesia who would refuse an additional meal only after eating two 3-course meals one after another. Other researchers reported similar findings in later years, indicating that this link between memory of the previous meal and eating might be a somewhat general occurrence.

Studies in the 21st century tested the link between memory and food intake by diverting participants’ attention from the meal with a secondary activity while eating (e.g., playing games or watching TV) in the hope that this will prevent them from memorizing the food eaten. Results showed that after eating while being distracted, participants tended to take more snacks in a later test. On the other hand, studies that had participants focus on the food they eat showed that they take less food later (see Figure 2).

 

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Figure 2. Distracted eating vs. focused eating

 

Studies on rodents showed that a group of neurons in the brain’s hippocampus region (dorsal hippocampal glutamatergic neurons) likely mediates the ability of memories about previous meals to stop later intake. Their activity immediately after a meal seems to be critical for this.

Obesity is associated with impaired memory


The authors of this review note that many studies in both rodents and humans report specific aspects of cognition to be impaired in obese individuals. This is particularly the case with certain memory functions. This association is present even in young, otherwise healthy adults. The authors also cite research findings that link obesity with changes in areas of the brain known to play a role in memory processes. There is also a finding that obese individuals tend to have lower global brain volume.

Looking at possible mechanisms through which obesity might lead to changes in the brain and memory impairments, the authors of this review propose that these might be inflammation of the brain and insulin resistance.

Conclusion – the vicious cycle


Based on all the findings, the authors of this review propose that there is a vicious cycle between memory and obesity. Obesity likely leads to memory and other cognitive impairments by stimulating inflammatory processes in the brain and insulin resistance. On the other hand, impaired memory disrupts the food intake regulation mechanism, leading to increased food intake, maintaining or even exacerbating obesity (see Figure 3).

 

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Figure 3. Memory-obesity vicious cycle

 

Because of this, future research and obesity prevention programs need to be aware of this bidirectional relationship and devise ways to break the vicious cycle if they are to prevent or treat obesity successfully.

The paper “Memory and eating: A bidirectional relationship implicated in obesity” was authored by Marise B. Parent, Suzanne Higgs, Lucy G. Cheke, and Scott E. Kanoski.

 

References

Dakanalis, A., Mentzelou, M., Papadopoulou, S. K., Papandreou, D., Spanoudaki, M., Vasios, G. K., Pavlidou, E., Mantzorou, M., & Giaginis, C. (2023). The Association of Emotional Eating with Overweight/Obesity, Depression, Anxiety/Stress, and Dietary Patterns: A Review of the Current Clinical Evidence. Nutrients, 15(5), Article 5. https://doi.org/10.3390/nu15051173

Hayes, A. M. R., Lauer, L. T., Kao, A. E., Sun, S., Klug, M. E., Tsan, L., Rea, J. J., Subramanian, K. S., Gu, C., Tanios, N., Ahuja, A., Donohue, K. N., Décarie-Spain, L., Fodor, A. A., & Kanoski, S. E. (2024). Western diet consumption impairs memory function via dysregulated hippocampus acetylcholine signaling. Brain, Behavior, and Immunity, 118, 408–422. https://doi.org/10.1016/j.bbi.2024.03.015

Hedrih, V. (2023). Are Hunger Cues Learned in Childhood? CNP Articles. https://www.nutritional-psychology.org/are-hunger-cues-learned-in-childhood/

Hedrih, V. (2024, March 4). Researchers Identify Neural Pathways Transmitting Anti-Inflammatory Effects of Hunger. CNP Articles in Nutritional Psychology. https://www.nutritional-psychology.org/researchers-identify-neural-pathways-transmitting-anti-inflammatory-effects-of-hunger/

Hsu, T. M., Konanur, V. R., Taing, L., Usui, R., Kayser, B. D., Goran, M. I., & Kanoski, S. E. (2015). Effects of sucrose and high fructose corn syrup consumption on spatial memory function and hippocampal neuroinflammation in adolescent rats. Hippocampus, 25(2), Article 2. https://doi.org/10.1002/hipo.22368

Isherwood, C. M., van der Veen, D. R., Hassanin, H., Skene, D. J., & Johnston, J. D. (2023). Human glucose rhythms and subjective hunger anticipate meal timing. Current Biology, 33(7), Article 7. https://doi.org/10.1016/j.cub.2023.02.005

Ljubičić, M., Matek Sarić, M., Klarin, I., Rumbak, I., Colić Barić, I., Ranilović, J., Dželalija, B., Sarić, A., Nakić, D., Djekic, I., Korzeniowska, M., Bartkiene, E., Papageorgiou, M., Tarcea, M., Černelič-Bizjak, M., Klava, D., Szűcs, V., Vittadini, E., Bolhuis, D., & Guiné, R. P. F. (2023). Emotions and Food Consumption: Emotional Eating Behavior in a European Population. Foods, 12(4), Article 4. https://doi.org/10.3390/foods12040872

Parent, M. B., Higgs, S., Cheke, L. G., & Kanoski, S. E. (2022). Memory and eating: A bidirectional relationship implicated in obesity. Neuroscience & Biobehavioral Reviews, 132, 110–129. https://doi.org/10.1016/j.neubiorev.2021.10.051

Sternson, S. M., & Atasoy, D. (2014). Agouti-related protein neuron circuits that regulate appetite. Neuroendocrinology, 100, 95–102. https://doi.org/10.1159/000369072

Teff, K. L. (2011). How neural mediation of anticipatory and compensatory insulin release helps us tolerate food. Physiology & Behavior, 103(1), 44. https://doi.org/10.1016/j.physbeh.2011.01.012

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