A High-Fat Diet Increases Anxiety-Related Behaviors in Rats by Altering Gut Microbiota-Brain Communication

  • A study on rats published in Biological Research found that a high-fat diet alters gut microbiota composition and makes them obese
  • This alteration changes specific aspects of communication between gut microbiota and the brain, increasing the expression of genes related to the neurotransmitter serotonin in a part of the brain that is involved in anxiety-related behaviors
  • These changes make rats show more anxiety-related behaviors

Most people understand that eating lots of high-calorie food will make us gain weight. That is rather straightforward. However, human bodies have an intricate food intake regulation mechanism that tells us when to eat and when we have had enough. That mechanism is crucial for our survival. Without it, we could starve to death without ever feeling a desire to eat. Or we could eat so much that we die from overeating without ever noticing that we have eaten too much. Luckily, this never happens as our food intake mechanism works and works well. So, if we have this mechanism that regulates our food intake, how does obesity develop?

The development of obesity


Many argue that the world has been undergoing an obesity epidemic in the past several decades. The share of overweight and obese people has been increasing worldwide (Wong et al., 2022). This coincided with the wider availability of highly processed, energy-dense industrial foods, many of which contain additives and combinations of high-calorie ingredients not found in nature (Gearhardt et al., 2023; Hedrih, 2023; Monteiro et al., 2019; Wilding, 2001).

 

The share of overweight and obese people has been increasing worldwide, coinciding with the wider availability of highly processed, energy-dense industrial foods

 

While obesity in humans is thought to be caused by an interplay of many different factors (Wilding, 2001), studies on rodents consistently indicate that feeding them high-fat diets will dysregulate their food intake mechanisms, making them obese (Ikemoto et al., 1996, Lippert et al., 2020). Unlike normal chow for laboratory rodents, which is rich in carbohydrates but contains little fat, this obesity-inducing high-fat diet for laboratory rodents is rich both in fats and carbohydrates. This is similar to highly processed, industrial energy-dense foods considered a key generator of obesity in humans by many (Wilding, 2001).

Obesity and anxiety


Various changes in brain activity accompany the development of obesity. Studies have reported low-grade inflammation of the hypothalamus in obese individuals, the part of the brain that plays a key role in food intake regulation (Thaler et al., 2013), and specific alterations of activity in various other parts of the brain (Bhatt et al., 2023).

 

Various changes in brain activity accompany the development of obesity

 

Studies have also linked obesity with anxiety disorders. Researchers believe that inflammation of specific areas of the brain, thought to play a role in the development of obesity, might also lead to increased anxiety (De Noronha et al., 2024) (see Figure 1).

 

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Figure 1. Impact of Obesity on brain activity and anxiety disorders

 

The current study


Study author Sylvana I. S. Rendeiro de Noronha and her colleagues note that previous studies indicate that feeding rats a high-fat diet leads to obesity and anxiety-like behaviors. However, the mechanism that produces this effect remains unknown, and these researchers wanted to explore it.

They hypothesized that eating a high-fat diet would alter the diversity and composition of the gut microbiome. This will, in turn, change the communication between the brain and gut microbiota (through the microbiota-gut-brain axis), leading to increased expression of serotonergic genes (genes involved in the synthesis, transport, reception, and breakdown of the neurotransmitter serotonin) in the caudal part of the dorsomedial dorsal raphe nucleus subregion of the brain (De Noronha et al., 2024). This subregion of the brain is associated with stress- and anxiety-related behavior. Therefore, these changes could lead to an increase in anxiety-like behaviors, explaining their association with the consumption of a high-fat diet (see Figure 2).

 

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Figure 2. Hypothesis (Rendeiro de Noronha et al., 2024)

 

The study was conducted on 5-6-week-old male Wistar rats (a strain often used in research). The rats weighed around 100 grams each, and researchers housed them in groups of 4 in acrylic cages. They had free access to food and water.

Rats were divided into two groups. One group of 12 rats ate normal rat food (11% fat), while researchers fed the other group a high-fat diet (45% fat) for nine weeks. When the experimental diet started, rats were in a period of life corresponding to middle adolescence (5 weeks). They reached what can be considered adulthood by the time treatment ended and testing began.

The study authors used a series of behavioral tests to evaluate the presence of anxiety-like behaviors in these rats. They also collected rats’ feces to evaluate the composition of their gut microbiota. In the end, the rats were killed, and the study authors analyzed their brain tissue.

 

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Figure 3. Study Procedure (Rendeiro de Noronha et al., 2024)

 

High-fat diet-induced obesity, some anxiety-related behaviors, and altered rats’ gut microbiota composition


Rats fed the high-fat diet developed obesity. They also showed increased anxiety-related behaviors on one behavioral test (elevated plus-maze). Still, in two other tests (light/dark box test and open field test), there were no differences between the two groups of rats.

Feces analysis showed that high-fat diet rats had different gut microbiota composition compared to rats that ate normal food. High-fat diet rats tended to have more bacteria belonging to the Firmicutes phylum in their guts. They also had higher abundances of bacteria belonging to Allobaculum, Blautia, and Dorea genera. On the other hand, rats that ate a normal diet tended to have more bacteria belonging to the genera Lactobacillus and Prevotella.

A high-fat diet increases the expression of serotonergic genes


A high-fat diet increases the expression of specific genes involved in the brain’s serotonin system. Notably, the expression of tph2, htr1a, and slc6a4 mRNA was increased in subregions of the dorsal raphe nucleus region of the brain, just as the study authors hypothesized.

Study authors believe that this increased gene expression was what produced the increase in anxiety-like behaviors. (see Figure 4).

 

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Figure 4. Research findings (Rendeiro de Noronha et al., 2024)

 

Conclusions


The study demonstrated how a high-fat diet altered the gut microbiome in rats and led to obesity. This altered gut microbiome altered signaling to the brain through the microbiome-gut-brain axis, increasing the expression of specific genes involved in the serotonergic system in the part of the brain involved in anxiety-like behaviors. This increase, in turn, increased anxiety-like behaviors. 

This study was done on rats. Humans are a different species, but they share many physiological similarities. Because of this, it is likely that these mechanisms work in a similar way in humans as well and that the effects of a high-fat diet would not be too dissimilar.

The paper “High-fat diet, microbiome-gut-brain axis signaling, and anxiety-like behavior in male rats” was authored by Sylvana I. S. Rendeiro de Noronha, Lauro Angelo Gonçalves de Moraes, James E. Hassell Jr., Christopher E. Stamper, Mathew R. Arnold, Jared D. Heinze, Christine L. Foxx, Margaret M. Lieb, Kristin E. Cler, Bree L. Karns, Sophia Jaekel, Kelsey M. Loupy, Fernanda C. S. Silva, Deoclécio Alves Chianca-Jr. , Christopher A. Lowry, and Rodrigo Cunha de Menezes.

 

 

References

Bhatt, R. R., Todorov, S., Sood, R., Ravichandran, S., Kilpatrick, L. A., Peng, N., Liu, C., Vora, P. P., Jahanshad, N., Gupta, A., & Bhatt, R. R. (2023). Integrated multi-modal brain signatures predict sex-specific obesity status. Brain Communications, 5(2), 1–14. https://doi.org/10.1093/BRAINCOMMS/FCAD098

De Noronha, S. I. S. R., De Moraes, L. A. G., Hassell, J. E., Stamper, C. E., Arnold, M. R., Heinze, J. D., Foxx, C. L., Lieb, M. M., Cler, K. E., Karns, B. L., Jaekel, S., Loupy, K. M., Silva, F. C. S., Chianca-, D. A., Lowry, C. A., & De Menezes, R. C. (2024). High-fat diet, microbiome-gut-brain axis signaling, and anxiety-like behavior in male rats. Biological Research, 57(1), 23. https://doi.org/10.1186/s40659-024-00505-1

Gearhardt, A. N., Bueno, N. B., DiFeliceantonio, A. G., Roberto, C. A., Jiménez-Murcia, S., & Fernandez-Aranda, F. (2023). Social, clinical, and policy implications of ultra-processed food addiction. BMJ, e075354. https://doi.org/10.1136/bmj-2023-075354

Hedrih, V. (2023). Scientists Propose that Ultra-Processed Foods be Classified as Addictive Substances. CNP Articles in Nutritional Psychology. https://www.nutritional-psychology.org/scientists-propose-that-ultra-processed-foods-be-classified-as-addictive-substances/

Ikemoto, S., Takahashi, M., Tsunoda, N., Maruyama, K., Itakura, H., & Ezaki, O. (1996). High-fat diet-induced hyperglycemia and obesity in mice: Differential effects of dietary oils. Metabolism, 45(12), 1539–1546. https://doi.org/10.1016/S0026-0495(96)90185-7

Lippert, R. N., Hess, S., Klemm, P., Burgeno, L. M., Jahans-Price T, Walton, M. E., Kloppenburg, P., & Brüning, J. C. (2020). Maternal high-fat diet during lactation reprograms the dopaminergic circuitry in mice. Journal of Clinical Investigation, 130(7), 3761–3776.

Monteiro, C. A., Cannon, G., Levy, R. B., Moubarac, J. C., Louzada, M. L. C., Rauber, F., Khandpur, N., Cediel, G., Neri, D., Martinez-Steele, E., Baraldi, L. G., & Jaime, P. C. (2019). Ultra-processed foods: What they are and how to identify them. Public Health Nutrition, 22(5), 936–941. https://doi.org/10.1017/S1368980018003762

Thaler, J. P., Guyenet, S. J., Dorfman, M. D., Wisse, B. E., & Schwartz, M. W. (2013). Hypothalamic Inflammation: Marker or Mechanism of Obesity Pathogenesis? Diabetes, 62(8), 2629–2634. https://doi.org/10.2337/DB12-1605

Wilding, J. P. H. (2001). Causes of obesity. Practical Diabetes International, 18(8), 288–292. https://doi.org/10.1002/PDI.277

Wong, M. C., Mccarthy, C., Fearnbach, N., Yang, S., Shepherd, J., & Heymsfield, S. B. (2022). Emergence of the obesity epidemic: 6-decade visualization with humanoid avatars. The American Journal of Clinical Nutrition, 115(4), 1189–1193. https://doi.org/10.1093/AJCN/NQAC005

 

 

How Nutritional and Social Pathways Influence The Relationship Between Food Insecurity and Mental Well-Being

Food insecurity is a widespread and growing issue in which individuals do not have access to adequate food and food sources that will help them achieve and experience a healthy lifestyle. Many studies are beginning to show that food insecurity impacts individuals’ physical and mental well-being. Researchers strive to better understand the relationship between food insecurity and mental health.

Researchers are striving better to understand the relationship between food insecurity and mental health

A study written by Weaver et al. (2021) investigated two possible explanations to explore the seemingly “black box” that links food insecurity and mental health. Researchers in this study aimed to investigate how food insecurity impacts depression and anxiety through two pathways: nutritional and social. The effect of nutritional pathways on the relationship between food insecurity and mental health was explored by measuring participants’ health markers (such as arm fat area, BMI, and hemoglobin levels). Researchers analyzed the effect of social pathways on food insecurity and mental health by testing social stressors such as not having desirable foods (e.g., meat) or not participating in socially ideal food practices (e.g., sharing foods with neighbors). 

This study took place in two distinct locations: a small rural area in Brazil and a medium-sized urban city in Ethiopia, which both reported high levels of food insecurity and depression. Researchers performed community surveys for households in Brazil and Ethiopia from 2015 to 2019, when the economy and food availability fluctuated.

The research was broken down into three phases. The first two phases involved preliminary procedures that established a mutual understanding of the social variables contributing to food insecurity. In the first research phase, researchers interviewed community members to create lists of socially food-related behaviors. The first variable that demonstrates socially food-related behaviors is defined as “CoC,” which represents normal food-related behaviors and food-related behaviors that reveal food insecurity. A second variable that demonstrated social food-related behaviors was food prestige, which measured how regularly individuals could purchase desired foods (e.g., meat, spices, butter, lasagna). 

A second variable that demonstrated social food-related behaviors was “food prestige,” which measured how regularly individuals could purchase desired foods (e.g., meats, spices, butter, lasagna)

The second phase of this research consisted of a confirmatory rating exercise. Participants rated food items written on cards on a scale of 1–4, indicating the strength of food insecurity and poverty. This phase confirmed a firm agreement with participants regarding which “CoC” food items demonstrated food insecurity and what foods were prestigious. 

The third phase of the research study involved examining the relationship between food insecurity and mental well-being within nutritional and social pathways. Researchers explored the relationship between the social variables (CoC and food prestige scores) and mental well-being variables through Common Mental Disorder Symptoms Scores (CMD). The nutritional variables were explored by testing the relationship between an individual’s arm fat area, body mass index, and hemoglobin level with their CMD scores. Other measured variables were participants’ wealth, household food insecurity, and household demographic data. 

As expected, this study reported that food insecurity scores were positively correlated with CMD symptoms. However, when analyzing the effect of the nutritional and social pathways on CMD symptoms, results varied depending on the location. Researchers found that socially food-related behaviors in this study were significant in Ethiopia. In Ethiopia, both “CoC” and “food prestige” scores were correlated with CMD symptoms. However, in Brazil, “CoC” and “Food Prestige” scores were not correlated with CMD symptoms. 

This study found nutritional deficiencies within both populations; however, the nutritional measures were not correlated with food insecurity in Brazil and Ethiopia. Although no correlations between food insecurity and mental health were explored in the nutritional pathway, researchers state their nutritional assessment was limited to arm fat area, BMI, and hemoglobin. This information allows future researchers to test for other possible nutritional measures that could reveal a relationship between food insecurity and CMD symptoms through other health markers, such as essential nutrients that promote healthy brain function.

Micronutrients that might substantially impact an individual’s mental well-being are B vitamins, folate, and vitamin D

 

Measuring arm fat area, BMI, and hemoglobin levels may play a significant role in revealing how ‘healthy’ we are. However, these three health markers may not be as directly evident of mental well-being as other nutritional factors. Many vitamins and minerals have been researched to reveal a significant relationship with mental health (see Micronutrients and Mental Health in the CNP Research Libraries). Examples of micronutrients that might substantially impact an individual’s mental well-being are B vitamins (Sánchez-Villegas et al., 2009), folate (Bender et al., 2017), and vitamin D ( Högberg et al., 2012). Folate is found in many vegetables and has been previously discovered to be associated with depression significantly. The micronutrients vitamin B-12 and vitamin D are highly available in animal-based foods, and animal-based foods such as meat were labeled as “prestigious” in this study. Those who are “food insecure” were less likely to consume “prestigious” foods. Therefore, exploring vital micronutrients that are more prevalent in “prestigious foods” is an alternative way to assess how food insecurity impacts mental health through nutritional pathways. Analyzing alternative nutritional variables may help reveal significant evidence of how nutrition plays a role in food insecurity and well-being in future studies.

References

Bender, A., Hagan, K. E., & Kingston, N. (2017). The association of folate and depression: A meta-analysis. Journal of Psychiatric Research, 95, 9–18. https://doi.org/10.1016/j.jpsychires.2017.07.019

Högberg, G., Gustafsson, S. A., Hällström, T., Gustafsson, T., Klawitter, B., & Petersson, M. (2012). Depressed adolescents in a case-series were low in vitamin D and depression was ameliorated by vitamin D supplementation. Acta Paediatrica, 101(7), 779–783. https://doi.org/10.1111/j.1651-2227.2012.02655.x

Sánchez-Villegas, A., Doreste, J., Schlatter, J., Pla, J., Bes-Rastrollo, M., & Martínez-González, M. A. (2009). Association between folate, vitamin B6 and vitamin B12 intake and depression in the SUN cohort study. Journal of Human Nutrition and Dietetics, 22(2), 122–133. https://doi.org/10.1111/j.1365-277X.2008.00931.x

Weaver, L. J., Owens, C., Tessema, F., Kebede, A., & Hadley, C. (2021). Unpacking the “black box” of global food insecurity and mental health. Social Science & Medicine (1982), 282, 114042–114042. https://doi.org/10.1016/j.socscimed.2021.114042

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