Elsevier

Appetite

Volume 93, 1 October 2015, Pages 13-23
Appetite

Western-style diet impairs stimulus control by food deprivation state cues: Implications for obesogenic environments

https://doi.org/10.1016/j.appet.2015.05.018Get rights and content

Highlights

  • Energy state cues compete with external cues for control of appetitive behavior.

  • Rats that eat Western diet (WD) show weakened control by internal energy state cues.

  • Impaired control by internal, relative to external cues, may promote excess intake.

  • The learned control of intake by internal cues depends on the hippocampus.

  • WD may reduce sensitivity to satiety cues by interfering with hippocampal function.

Abstract

In western and westernized societies, large portions of the population live in what are considered to be “obesogenic” environments. Among other things, obesogenic environments are characterized by a high prevalence of external cues that are associated with highly palatable, energy-dense foods. One prominent hypothesis suggests that these external cues become such powerful conditioned elicitors of appetitive and eating behavior that they overwhelm the internal, physiological mechanisms that serve to maintain energy balance. The present research investigated a learning mechanism that may underlie this loss of internal relative to external control. In Experiment 1, rats were provided with both auditory cues (external stimuli) and varying levels of food deprivation (internal stimuli) that they could use to solve a simple discrimination task. Despite having access to clearly discriminable external cues, we found that the deprivation cues gained substantial discriminative control over conditioned responding. Experiment 2 found that, compared to standard chow, maintenance on a “western-style” diet high in saturated fat and sugar weakened discriminative control by food deprivation cues, but did not impair learning when external cues were also trained as relevant discriminative signals for sucrose. Thus, eating a western-style diet contributed to a loss of internal control over appetitive behavior relative to external cues. We discuss how this relative loss of control by food deprivation signals may result from interference with hippocampal-dependent learning and memory processes, forming the basis of a vicious-cycle of excessive intake, body weight gain, and progressive cognitive decline that may begin very early in life.

Introduction

The control of energy intake and body weight involves the interplay between food-related environmental cues and physiological signals arising from the internal milieu. For example, environmental food cues are often thought to evoke learned appetitive and eating behaviors whereas internal satiety signals suppress the evocation of those responses (Woods, 2004). Within this framework, excess energy intake and body weight gain result when the power of environmental cues to evoke feeding behavior exceeds the ability of internal signals to inhibit feeding.

This shift toward external relative to internal control of intake has been described as a consequence of living in what has been termed an “obesogenic” environment (e.g., Swinburn et al., 2011). Obesogenic environments are characterized by an abundance of low cost, energy-dense, highly palatable foods and beverages. It is thought that external cues associated with these foods and beverages can become strong elicitors of eating. Furthermore, sophisticated marketing and advertising practices maximize exposure to these cues and heighten their salience. It has been hypothesized that these external factors combine to overwhelm the capacity of internal physiological control mechanisms to prevent positive energy balance and avoid body weight gain (e.g., Corsica, Hood, 2011, King, 2013, Zheng et al, 2009). The result has been high and/or growing rates of obesity, especially in western or westernized societies where obesogenic environments are most prevalent (e.g., Malik et al, 2013, Sturm, Hattori, 2013).

Of particular relevance to this Special Issue of Appetite, obesogenic environments have also been linked to excessive weight gain in children and adolescents (Osei-Assibey et al, 2012, Saelens et al, 2012). For example, rates of childhood obesity are elevated in neighborhoods with higher compared to lower numbers of fast food outlets (Carroll-Scott et al., 2013). Obesity rates are also higher for children that attend schools in neighborhoods with relatively high numbers of convenience stores and fast food restaurants (Wasserman et al., 2014; but see Williams et al., 2014). In addition, the results of some studies show that exposure to TV advertising for energy-dense foods (Andreyeva et al, 2011, Boyland et al, 2011) and receptivity to this type of advertising are positively correlated with childhood BMI (McClure et al., 2013).

Similar to the population at large, the incidence of obesity has doubled in children ages 6–11 and tripled in adolescents ages 12–19 since 1980 (Ogden, Carroll, Kit, & Flegal, 2012). In addition, like their adult counterparts, children that are overweight or obese exhibit increased risk factors for Type II diabetes, hypertension, and other comorbidities (Daniels et al., 2005). Obese children are also likely to become obese adults – at which time the severity and range of threats to health and quality of life are magnified (Freedman et al, 2005, Guo, Chumlea, 1999).

One of the most pernicious of these threats is cognitive decline. Previous research has identified obesity and increased body adiposity in mid-life with the development of late-life cognitive dementias such as Alzheimer's disease (Gustafson, 2008, Whitmer, 2007). As several reports in the current issue confirm (e.g., Convit et al., Verdejo-Garcia et al., Nederkoorn et al., Kahn et al., Bruce et al.), evidence is also accumulating that obesity is associated with impaired cognitive functioning in children and adolescents (Kamijo et al, 2012, Liang et al, 2014, Schwartz et al, 2013). These links raise concerns that excessive weight gain and obesity in childhood increase the risk for more serious cognitive disorders that are usually diagnosed much later in life (Elias et al, 2012, Smith et al, 2011).

We think that an important first step toward addressing these concerns is to consider why so many people of all ages have such difficulty resisting the temptations of the obesogenic environment. To say that the physiological controls of intake are overwhelmed by an onslaught of environmental cues that goad us to eat provides only a partial answer. A more complete account must identify and explain the mechanisms that initiate and maintain this hypothetical change in the relationship between the physiological and environmental controls of intake.

Previously, we proposed a model that describes how both internal cues corresponding to hunger and satiety and external cues associated with foods and the postingestive consequences of eating participate in the learned control of energy intake and body weight (e.g., Davidson et al, 2014, Davidson et al, 2014). One purpose of the current research is to assess the extent to which these internal cues are able to compete with external cues for the control of conditioned appetitive behavior when both types of cues are valid signals of food reward. A second goal is to examine the hypothesis that dietary factors common to obesogenic environments can weaken the internal relative to external controls of intake. Based on the findings of the present experiments and the results of earlier work, we will also consider how the mechanisms that underlie such a diet-induced shift from internal toward external control of intake may be related to deficits in certain types of cognitive functions.

The rationale for our present studies is based largely on three sets of previous findings. First, research in our laboratory has shown that rats can use the interoceptive stimulus consequences of different levels of food deprivation as discriminative cues for the delivery of either mild shock (e.g., Davidson, 1987) or sucrose pellets (e.g., Davidson et al., 2005). Evidence for this learning has been obtained after as few as three reinforced trials (Davidson, Flynn, & Jarrard, 1992), and discriminative control generalizes from cues produced by food deprivation and satiation to hormonal manipulations that are known to promote or suppress feeding behavior (e.g., exogenous administration of ghrelin (Davidson et al., 2005) or CCK and leptin (Kanoski, Walls, & Davidson, 2007), respectively). These latter findings confirm that interoceptive cues arising from hunger and satiety, rather than exteroceptive stimuli produced by features of the deprivation regimen, were the basis of discriminative responding.

Second, other studies have shown that the ability of rats and humans to use their interoceptive energy or hydrational state cues as discriminative stimuli depends on the functional integrity of the hippocampus (e.g., Francis, Stevenson, 2011, Hebben et al, 1985, Hirsh et al, 1978). For example, hippocampal lesions have been shown to impair discriminative responding when cues produced either by different levels of food deprivation or by food versus water deprivation serve as discriminative stimuli (Davidson, Jarrard, 1993, Davidson et al, 2010, Kennedy, Dimitropoulos, 2014, Kennedy, Shapiro, 2009). In contrast, simple discrimination performance based on conventional auditory and visual cues is largely unaffected by hippocampal damage (e.g., Jarrard & Davidson, 1991).

Third, studies have shown that rats maintained on a western-style diet high in both saturated fat and sugar exhibit impairments on a variety of learning and memory problems that are known to depend on the hippocampus. These same rats are not impaired in learning simple discriminations and other learning and memory problems that are hippocampal-independent (Davidson et al., 2012; Hargrave et al., in this issue; Kanoski et al, 2010, Molteni et al, 2002). Rats maintained on these diets also exhibit signs of brain pathologies such as increased blood–brain barrier permeability, elevated markers of hippocampal inflammation, and reduced levels of brain neurotrophic factors (Grayson et al, 2013, Hsu, Kanoski, 2014, Kanoski et al, 2007, Miller, Spencer, 2014, Molteni et al, 2002, Sobesky et al, 2014). Moreover, pathological symptoms have been observed most prominently in rats that also showed both heightened sensitivity to the obesity-promoting effects of these diets and impaired hippocampal-dependent learning and memory performance (Davidson et al, 2012, Davidson et al, 2013). These findings establish a link between the ability of these diets to promote weight gain and their ability to disrupt hippocampal-dependent learning and memory functions.

Considered together, these three sets of findings indicate that (a) interoceptive stimuli arising from different levels of food deprivation can gain associative control over behavior; (b) the hippocampus is a neural substrate for this type of associative control, but for not simple associative learning about external stimuli; and (c) consuming a high-saturated fat, high-sugar diet characteristic of obesogenic environments is associated not only with obesity but also with the development of hippocampal pathologies and impairments in hippocampal-dependent learning and memory processes. Against this backdrop, this paper evaluates the possibility that diets high in saturated fat and sugar interfere with hippocampal functioning and thereby reduce the control of energy intake by internal relative to external cues.

Section snippets

Experiment 1

Our theoretical framework suggests that appetitive behavior is normally under the joint control of external food-related cues and interoceptive cues related to hunger and satiety. Experiment 1 assessed this hypothesis by training rats with both food deprivation cues and external cues as compound discriminative cues for sucrose pellets. After asymptotic discrimination performance was achieved, the external cues were removed to assess discriminative control by deprivation cues alone. Then,

Subjects

Subjects were 32 male Sprague-Dawley rats (Harlan, Indianapolis) weighing 328-365 g at the start of testing. Animals were housed individually in tub cages with pellet laboratory chow (Lab Diets 5001) and water was available ad libitum except as described below. The colony room was maintained on a 12:12 h light–dark cycle with lights on at 0700 h. Temperature in the colony room was maintained at 21–23 °C. The Purdue Animal Care and Use Committee approved all procedures for the care and treatment

Training

Groups 0+ and 24+ each showed that they solved the food deprivation intensity discrimination by learning to respond more on their rewarded (+) compared to their nonrewarded (−) sessions (see Fig. 1). Repeated measures analysis of variance (ANOVA) yielded a significant (F (1, 28) = 50.24, p <0.01) main effect of +/− as well as a significant +/− × Session interaction (F(25, 700) = 12.62, p <0.01). In addition, there was a main effect of Group (F(1, 28) = 4.51, p <0.05), indicating that Group

Discussion

The results of Experiment 1 show that rats can learn to use interoceptive cues arising from 0 and 24 h food deprivation as discriminative stimuli even when those cues are trained in compound with highly relevant external cues. This was shown by findings that, following training with deprivation and auditory cues as compound discriminative stimuli, discriminative responding to deprivation cues was observed (a) when external cues were removed and (b) when the rats were tested with compound

Experiment 2

Experiment 1 showed that rats are able to learn about interoceptive food deprivation stimuli even when salient external cues also served as valid predictors of food reward. The purpose of Experiment 2 was to assess whether stimulus control by food deprivation cues would be diminished by chronic exposure to a diet high in saturated fat and processed sugars. This diet was selected because it is similar in macronutrient content to the human “western diet” so named because of its widespread

Subjects

Subjects were 32 naïve male Sprague-Dawley rats, weighing approximately 250–300 g upon arrival from Harlan. Rats were individually housed in plastic tubs and maintained on a 14:10 h light:dark cycle with lights on at 0900 h. Temperature in the colony room was maintained at 21–23 °C. All procedures for the care and treatment of the rats in this experiment were approved by the American University Institutional Animal Care and Use Committee.

Diets

The WD was a lard-based diet high in saturated fat and

Training

Both Groups 0+ and 24+ learned to solve the discrimination. As seen in Fig. 3, by the end of training both Groups 0+ and 24+ exhibited more responding on rewarded compared to nonrewarded sessions, although the magnitude of this difference was somewhat smaller for Group 0+. An overall ANOVA yielded a significant Group × + /− × Session (F (15, 450) = 3.10, p < .01) interaction. To further evaluate this interaction, the data for Groups 0+ and 24+ were analyzed separately. For Group 0+, ANOVA

Discussion

The results of Experiment 2 showed that, compared to rats maintained on standard chow, rats maintained on WD were impaired in using deprivation cues as discriminative signals for the delivery of sucrose pellets. With the exception of the first test, rats fed WD showed weaker discrimination performance based on deprivation cues than did the rats fed chow. In contrast, discriminative responding for both diet conditions was comparable at the end of training after external cues had been added to

General discussion

The results of Experiment 1 showed that rats can use interoceptive stimuli arising from food deprivation and satiation as discriminative stimuli to predict the delivery of sucrose, even when those cues are trained in compound with external cues that are equally valid, if not better, predictors of sucrose. Thus, interoceptive food deprivation cues can compete with exteroceptive cues for control of appetitive behavior when both are trained as valid signals for a sucrose US. Experiment 2 provided

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    Acknowledgement: This research was supported by Grant R01HD028792 from the Eunice Kennedy Shriver National Institute of Child Health & Human Development. We thank Ms. Jennie Mak for assistance with data collection for Experiment 2.

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