- Eating at odd times of day is associated with increased food intake and elevated risk of obesity.
- A new study in mice suggests that increased weight gain due to food consumption at inappropriate times may be attributed to impaired thermogenesis, the process of burning calories to release heat, by adipocytes or fat cells.
- The adipocytes showed rhythmic changes in the levels of thermogenesis that aligned with the light-dark cycles, and the mismatch between these adipocyte cycles with feeding times could lead to obesity.
- These results explain the metabolic benefits of time-restricted feeding, involving restricting the consumption of food to certain hours of the day.
Factors associated with modern life, such as shift work and late-night eating, have led to a misalignment between what time food is consumed and light-dark cycles. This disruption is associated with the overconsumption of food and an increased risk of obesity.
A new study using a mouse model published in Scienceexamined the mechanisms of weight gain associated with the timing of food consumption and light-dark cycles.
The study indicates that the process of heat generation from calories or thermogenesis in adipocytes also shows a rhythmic pattern that aligns with the daily light-dark cycle.
Findings suggest that eating late at night may disrupt this rhythm in adipocytes resulting in lower energy expenditure and weight gain.
Satchidananda Panda, Ph.D., a professor at the Salk Institute, not involved in the study, told Medical News Today:
“This exciting paper addresses one central question in time-restricted eating (TRF) [or] feeding (TRE) — why TRF [and] TRE helps reduce fat mass. Although many studies have shown that TRF reduces fat mass, understanding the molecular mechanism helps identify which cells and biochemical pathways are activated under TRF to reduce fat and identify potential genes or proteins that can be potentially targeted by drugs to mimic the benefits of TRF.”
For example, animals show such oscillations in body temperatures, hormone levels, food intake, and sleep and activity levels.
The brain region called the
The SCN receives light cues from the eyes and synchronizes the internal rhythms with daily light-dark cycles.
In addition to the SCN, almost all cells that are present in tissues and organs in the body contain their own biological clock. As the master clock, the SCN coordinates the activity of peripheral clocks.
The peripheral biological clocks influence the expression of a variety of genes in a cyclical manner, including those involved in metabolic processes, such as glucose and fat metabolism.
Besides light exposure, external cues such as the time of food intake also influence circadian rhythms but exert their effects mostly through the peripheral biological clocks.
In other words, the SCN generates rhythms in food intake and activity levels so that these activities coincide with the active period of the animal.
For instance, mice are nocturnal animals, and most of their food intake occurs during the dark or active period. The timing of their food intake influences the peripheral biological clocks.
In animals, the time of food intake and the light-dark cycles are aligned.
Modern lifestyles, including shift work and exposure to blue light, have increasingly led to a misalignment between food intake and the light-dark cycle.
Researchers have used mice maintained on a high fat diet as a model of obesity due to excessive intake of calories.
In addition, mice that are fed a high fat diet during the inactive period (light) show an even greater increase in weight than those maintained on the same diet during the active period, despite consuming the same amounts of calories.
Consistent with this, time-restricted feeding aims to align food intake with circadian rhythms observed in metabolic processes to optimize metabolic health.
However, the mechanisms underlying this association between food intake at the wrong time of the day and metabolic health are not fully understood.
In the present study, the researchers examined the mechanisms underlying the greater weight gain in mice fed a high fat diet during the inactive period than those fed the same diet during the active period.
Most experiments were conducted at 30°C when mice spend a minimal amount of energy to maintain a constant body temperature. The researchers found mice that were fed during the inactive period showed lower energy expenditure than the mice fed during the active period.
In their paper, the researchers cited other research that has suggested that a potential reason for the lower expenditure of energy in mice fed during the inactive period could be the dissipation of lower amounts of calories as heat after a meal.
The researchers note that excess calories consumed during the meal can be stored as fat or dissipated as heat in a process known as diet-induced thermogenesis.
Brown adipose tissue, one of the major types of fat tissue, is known to produce heat from some of the excess calories after food consumption. On the other hand, white adipose tissue, the other major type of fat tissue, is specialized for storing energy as fat.
Under certain circumstances, however, white adipose tissue can differentiate into beige adipocytes, which can also generate heat from calories.
Hence, the researchers examined whether the lower energy expenditure in mice fed during the inactive period could be explained by differences in levels of thermogenesis in adipocytes or fat cells in the adipose tissue.
To examine the role of adipocyte-mediated thermogenesis, the researchers used a genetically engineered mouse model that showed enhanced thermogenesis in adipocytes. Enhancing thermogenesis in adipocytes of mice prevented weight gain due to being fed a high fat diet during the inactive period.
The genetically engineered mice also showed higher levels of beige adipocytes in white adipose tissue.
In addition, adipocytes from the genetically engineered mice that were cultured in the laboratory showed increased levels of metabolites associated with the futile creatine cycle. The futile creatine cycle is one of the multiple different pathways through which cells burn off excess energy in the form of heat.
During the futile creatine cycle, ATP, the cell’s energy currency, is utilized by creatine to produce phosphocreatine, which is then converted back to creatine. This results in the dissipation of energy stored in ATP as heat.
The results of these experiments suggest that lower levels of thermogenesis in adipocytes may have contributed to the increased weight gain in mice fed during the inactive period. Moreover, lower levels of futile creatine cycling may explain these results.
To further examine the involvement of the creatine cycle, the researchers used a different genetically engineered mouse model that did not express one of the key enzymes involved in the futile creatine cycle in adipocytes.
The lack of the enzyme involved in the creatine cycle in adipocytes resulted in weight gain both during the active and inactive periods.
This suggests that the futile creatine cycle in adipocytes contributes to the lower weight gain observed in mice fed during the active period.
In subsequent experiments, the researchers found that creatine levels and the genes involved in creatine metabolism oscillated over a 24-hour period (i.e., showed rhythmicity in adipocytes).
Creatine levels peaked during the active period in the adipocytes of mice fed a high fat diet during the active period. In contrast, mice fed a high fat diet during the inactive phase showed reduced creatine cycling during the active phase.
Given the rhythmicity of creatine cycling, the researchers examined the role of the peripheral adipocyte biological clock in regulating the creatine pathway.
Mice lacking the master clock protein called BMAL1 in adipocytes that were fed a high fat diet during the active or inactive period showed similar levels of weight gain as control mice fed a high fat diet during the inactive phase.
Moreover, the mice that did not express BMAL1 also showed reduced creatine cycling in the adipocytes. In a separate experiment, the researchers found that supplementation with creatinine helped attenuate the effects of the absence of BMAL1 expression on weight gain.
These experiments suggest that an intact adipocyte circadian clock may be essential for the enhanced thermogenesis and weight loss observed when feeding times aligned with the light-dark cycle.
Moreover, this increase in thermogenesis was at least partly due to the increase in creatine cycling.
In the present study, the researchers found that enhancing the expression of the BMAL1 gene in adipocytes reduced weight gain in mice fed a high fat diet and improved metabolic health.
Moreover, mice expressing higher levels of BMAL1 also showed greater creatine cycling and an increase in the expression of genes involved in creatine metabolism. These results suggest that enhanced activity of the adipocyte circadian clock was sufficient to induce weight loss, likely by increasing creatine cycle-mediated thermogenesis.
Overall, the current study suggests that misalignment of feeding time with the rhythm of creatine cycle-mediated thermogenesis in adipocytes could result in lower energy expenditure and weight gain.
Despite the implications of the present study, more research is needed to determine whether time-restricted eating produces the same effects on energy expenditure in humans.
Roberto Refinetti, Ph.D., a professor at the University of New Orleans, noted, “the study was conducted in mice, so it must be repeated in other animals and in people before the findings can be generalized.”
“It would be worth exploring whether creatine becomes limiting in the setting of nutritional overload where dietary creatine supplementation could promote adipocyte energy dissipation. If TRF regulates the abundance of creatine and the effectors of thermogenesis by the futile creatine cycle, perhaps this link is bidirectional, such that adipocyte-selective loss of the components that mediate the futile creatine cycle alter the time of eating when food is freely available. Understanding this relationship could help elucidate the link between adipose tissue metabolism and energy intake.”