Nutritional factors regulating behavior and biological clocks

Velloso, Licio A.

doi:10.20945/2359-3997000000410

I was recently invited to write an editorial (¹) about an excellent review (²) that put together a large amount of data showing the impact of nutrients on the regulation of gene expression and systemic inflammation. Over the last 50 years, changes in nutritional standards taking place in most regions of the world have reshaped human health parameters promoting an unprecedent increase in the prevalence of obesity and its comorbidities (³). As shown by Correa and cols. (²), components of the diet can regulate systemic metabolism by different means, such as activating cell receptors, modulating inflammation, promoting epigenetic modifications, and acting through microRNAs. Over the years, researchers have engaged most of their efforts to characterize the harmful and beneficial effects of nutrients on the most prevalent conditions associated with obesity, such as diabetes and cardiovascular diseases. However, there are several other health conditions that can be deteriorated in obesity. In this issue of the Archives of Endocrinology and Metabolism, two experimental studies provide advance in the mechanistic understanding of how dietary factors impact on anxiety-like behavior (⁴) and circadian clocks (⁵).

In humans, there is evidence supporting the association between obesity and anxiety/depression. A meta-analysis evaluating 16 studies reported an odds ratio of 1.4, indicating a moderate level of positive association between both conditions (⁶). Inflammation is believed to play an important mechanistic role in this scenario as in both obesity (⁷) and anxiety/depression (⁸) there is inflammation in distinct areas of the brain. Currently, pediatric obesity is one of the most serious health problems in the world. A child that develops obesity early in life can present cardiovascular disease up to a decade earlier than baseline population (⁹). However, it is uncertain how the early development of obesity could affect behavior. With this question in mind, Lorena and cols. (⁴) evaluated an animal model fed on a high-fat diet from early life. They showed that markers of inflammation were significantly increased in the prefrontal cortex of obese rats and this was accompanied by behavioral changes compatible with the anxiety/depression phenotype. Because of the existence of confounding factors, the determination of behavioral phenotypes in animal models is complex (¹⁰). To avoid biases, experimental approaches are optimized by the execution of several tests. In their model, Lorena and cols. (⁴) performed seven distinct tests to explore depression, anxiety and memory. In two tests, forced swimming test and novelty-suppressed feeding test, obese rats presented abnormalities, suggesting they have developed an anxiety/depression-like behavior. The study provides an elegant experimental evidence to support the association between obesity at an early age with anxiety and depression (¹¹), showing that diet-induced inflammation in the prefrontal cortex could provide a mechanistic link between both conditions.

Key components of the body energy homeostasis apparatus are under the control of circadian clocks that synchronize caloric intake and energy expenditure with environmental cues (¹²). Clock genes expressed in neurons of the suprachiasmatic nucleus orchestrate daily cycles that impact on whole body homeostasis (¹²), and mutations of genes that play central roles in this system promote changes in feeding rhythms leading to obesity (¹²). Studies have shown that the suprachiasmatic clock connects with other organs of the body providing a tissue specific network that warrant whole body synchronization with the surrounding environment (¹³). Rodrigues and cols. (⁵) have evaluated the impact of restricted feeding on the expression of clock genes in three tissues that play important roles in whole body energy homeostasis: the liver, the brown adipose tissue, and the perigonadal adipose tissue. They showed that restricting feeding to daytime (which is non-physiological to rodents) promoted a shift in the expression of Clock and Bmal1 in the liver, and to a lesser magnitude in the adipose tissue depots. This was accompanied by a shift in the pattern of expression of genes related to nutrient sensing, such as Sirt1, Pgc1a, Pparg and Ucp2. The study provides an interesting experimental proof-of-concept that changing feeding time, without restricting the amount of food is sufficient to modify clock genes in tissues involved in the regulation of systemic metabolism.

Taken together, the two studies add important experimental evidence to support a broad and complex interaction between nutritional factors and metabolic diseases. It has become clear that, not only the amount and quality of food, but also the time of the day food is consumed may impact on health. These concepts should provide the basis for a healthy nutritional education of the population.

REFERENCES

¹ Velloso LA. We could be better if we ate better. Arch Endocrinol Metab 2020;64:197-8.
² Corrêa TAF, Quintanilha BJ, Norde MM, Pinhel MAS, Nonino CB, Rogero MM. Nutritional genomics, inflammation and obesity. Arch Endocrinol Metab. 2020 May-Jun;64(3):205-22.
³ Collaborators GBDO, Afshin A, Forouzanfar MH, Reitsma MB, Sur P, Estep K, Lee A, et al. Health Effects of Overweight and Obesity in 195 Countries over 25 Years. N Engl J Med 2017;377(1):13-27.
⁴ Lorena FB, do Nascimento BPP, Camargo ELRA, Bernardi MM, Fukushima AR, Panizza JN, et al. Long-term obesity is associated with depression and neuroinflammation. Arch Endocrinol Metab. 2021;65(5):537-48.
⁵ Rodrigues LGF, de Araujo LD, Roa SLR, Bueno AC, Uchoa ET, Antunes-Rodrigues J, et al. Restricted feeding modulates peripheral clocks and nutrient sensing pathways in rats. Arch Endocrinol Metab. 2021;65(5):549-61.
⁶ Gariepy G, Nitka D, Schmitz N. The association between obesity and anxiety disorders in the population: a systematic review and meta-analysis. Int J Obes (Lond). 2010;34(3):407-19.
⁷ Cavadas C, Aveleira CA, Souza GF, Velloso LA. The pathophysiology of defective proteostasis in the hypothalamus - from obesity to ageing. Nat Rev Endocrinol. 2016;12(12):723-33.
⁸ Guillemot-Legris O, Muccioli GG. Obesity-Induced Neuroinflammation: Beyond the Hypothalamus. Trends Neurosci. 2017;40(4):237-53.
⁹ Ohlsson C, Bygdell M, Sondén A, Rosengren A, Kindblom JM. Association between excessive BMI increase during puberty and risk of cardiovascular mortality in adult men: a population-based cohort study. Lancet Diabetes Endocrinol. 2016 Dec;4(12):1017-24.
¹⁰ Walsh RN, Cummins RA. The Open-Field Test: a critical review. Psychol Bull. 1976;83(3):482-504.
¹¹ Lindberg L, Hagman E, Danielsson P, Marcus C, Persson M. Anxiety and depression in children and adolescents with obesity: a nationwide study in Sweden. BMC Med. 2020;18(1):30.
¹² Reppert SM, Weaver DR. Coordination of circadian timing in mammals. Nature 2002;418:935-41.
¹³ Stokkan KA, Yamazaki S, Tei H, Sakaki Y, Menaker M. Entrainment of the circadian clock in the liver by feeding. Science. 2001;291(5503):490-3.

Publication Dates

Publication in this collection
12 Nov 2021
Date of issue
2021

History

Received
01 Oct 2021
Accepted
08 Oct 2021

This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

[1] ¹ Velloso LA. We could be better if we ate better. Arch Endocrinol Metab 2020;64:197-8.

[2] ² Corrêa TAF, Quintanilha BJ, Norde MM, Pinhel MAS, Nonino CB, Rogero MM. Nutritional genomics, inflammation and obesity. Arch Endocrinol Metab. 2020 May-Jun;64(3):205-22.

[3] ³ Collaborators GBDO, Afshin A, Forouzanfar MH, Reitsma MB, Sur P, Estep K, Lee A, et al. Health Effects of Overweight and Obesity in 195 Countries over 25 Years. N Engl J Med 2017;377(1):13-27.

[4] ⁴ Lorena FB, do Nascimento BPP, Camargo ELRA, Bernardi MM, Fukushima AR, Panizza JN, et al. Long-term obesity is associated with depression and neuroinflammation. Arch Endocrinol Metab. 2021;65(5):537-48.

[5] ⁵ Rodrigues LGF, de Araujo LD, Roa SLR, Bueno AC, Uchoa ET, Antunes-Rodrigues J, et al. Restricted feeding modulates peripheral clocks and nutrient sensing pathways in rats. Arch Endocrinol Metab. 2021;65(5):549-61.

[6] ⁶ Gariepy G, Nitka D, Schmitz N. The association between obesity and anxiety disorders in the population: a systematic review and meta-analysis. Int J Obes (Lond). 2010;34(3):407-19.

[7] ⁷ Cavadas C, Aveleira CA, Souza GF, Velloso LA. The pathophysiology of defective proteostasis in the hypothalamus - from obesity to ageing. Nat Rev Endocrinol. 2016;12(12):723-33.

[8] ⁸ Guillemot-Legris O, Muccioli GG. Obesity-Induced Neuroinflammation: Beyond the Hypothalamus. Trends Neurosci. 2017;40(4):237-53.

[9] ⁹ Ohlsson C, Bygdell M, Sondén A, Rosengren A, Kindblom JM. Association between excessive BMI increase during puberty and risk of cardiovascular mortality in adult men: a population-based cohort study. Lancet Diabetes Endocrinol. 2016 Dec;4(12):1017-24.

[10] ¹⁰ Walsh RN, Cummins RA. The Open-Field Test: a critical review. Psychol Bull. 1976;83(3):482-504.

[11] ¹¹ Lindberg L, Hagman E, Danielsson P, Marcus C, Persson M. Anxiety and depression in children and adolescents with obesity: a nationwide study in Sweden. BMC Med. 2020;18(1):30.

[12] ¹² Reppert SM, Weaver DR. Coordination of circadian timing in mammals. Nature 2002;418:935-41.

[13] ¹³ Stokkan KA, Yamazaki S, Tei H, Sakaki Y, Menaker M. Entrainment of the circadian clock in the liver by feeding. Science. 2001;291(5503):490-3.