, Volume 199, Issue 3, pp 313–329 | Cite as

Relevance of animal models to human eating disorders and obesity

  • Regina C. Casper
  • Elinor L. Sullivan
  • Laurence Tecott


Background and rationale

This review addresses the role animal models play in contributing to our knowledge about the eating disorders anorexia nervosa (AN) and bulimia nervosa (BN) and obesity.


Explore the usefulness of animal models in complex biobehavioral familial conditions, such as AN, BN, and obesity, that involve interactions among genetic, physiologic, psychological, and cultural factors.

Results and conclusions

The most promising animal model to mimic AN is the activity-based anorexia rodent model leading to pathological weight loss. The paradigm incorporates reward elements of the drive for activity in the presence of an appetite and allows the use of genetically modified animals. For BN, the sham-feeding preparation in rodents equipped with a gastric fistula appears to be best suited to reproduce the postprandial emesis and the defects in satiety. Animal models that incorporate genes linked to behavior and mood may clarify biobehavioral processes underlying AN and BN. By contrast, a relative abundance of animal models has contributed to our understanding of human obesity. Both environmental and genetic determinants of obesity have been modeled in rodents. Here, we consider single gene mutant obesity models, along with models of obesigenic environmental conditions. The contributions of animal models to obesity research are illustrated by their utility for identifying genes linked to human obesity, for elucidating the pathways that regulate body weight and for the identification of potential therapeutic targets. The utility of these models may be further improved by exploring the impact of experimental manipulations on the behavioral determinants of energy balance.


Animal model Anorexia nervosa Obesity Gene regulation Eating Gender Bulimia nervosa 


The purpose of this paper is to explore how simulating human conditions, such as anorexia nervosa (AN), bulimia nervosa (BN), and obesity, in animals can contribute to identifying etiological and genetic factors and enhance our knowledge of the mechanisms underlying these disorders. We will start by discussing the utility of animal models for understanding AN and BN and will conclude with a discussion of the usefulness of animal models in studying the most common disorder related to eating: obesity. For each of the conditions, we will first describe their essential clinical features and consider which behavioral or physiologic signs lend themselves to meaningful testing in laboratory studies and which aspects of the disorders might be difficult to mimic in animals. This will be followed by a review of the utility and limitations of existing animal models relevant to each of the human conditions.

Anorxia nervosa and bulimia nervosa

Diagnostic criteria of AN and BN

The DSM IV (DSMI 1994) lists AN and BN as “eating disorders.” AN falls into experimentally well supported categories, the restricting and bulimic subtype (Casper et al. 1980; Strober 1980), while the distinction between the binge eating/purging subtype and the nonpurging subtype of BN remains largely descriptive. The current criteria for AN acknowledge the deliberate personal element in the “refusal to maintain a normal weight for age and height.” Unlike AN, with its long tradition and history, BN was not clinically described as a syndrome until 1979 (Casper 1983; Russell 1979). Both disorders are now subsumed under the umbrella term “eating disorders,” even though eating as a function is intact in AN.

Epidemiology of AN and BN

AN is a rare familial (Strober and Humphrey 1987) and predominantly female condition. About 4–6% of adolescent cases occur in males, while between 8% and 12% of BN cases occur in males. In contemporary Western Society, the wish for weight loss and efforts to reduce food intake remain the most powerful triggering and sustaining influences. Nonetheless, the teenage prevalence of at most 1% for AN and 3–4% for BN (Hudson et al. 2007) in view of the high (80%) frequency of dieting practices in teenage or young adult women (Nylander 1971) and the evidence for familial transmission in AN suggest that factors other than dieting must be involved in the pathophysiology. The incidence of AN has not risen significantly in the past 50 years, whereas BN has become more common.

Phenomenology of AN and BN

A necessary feature of eating disorders, with no clear equivalent in animal behavior, is the personal decision to curtail food intake or to eat little. Even if, in contemporary culture, dieting to improve body shape appears to be the most powerful trigger of eating disorders, historically, any kind of calorie-deficient food intake leading to a catabolic state and resulting in weight loss, for example, fasting for religious reasons or weight loss due to illness, have been associated with AN (Casper and Davis 1977). Eventually, the individual makes a deliberate decision to perpetuate the food restriction. This feature is without a parallel in animals.

Symptoms in AN

Hunger, appetite, and weight loss

The extent to which “eating” is impaired in AN or BN and the nature of the impairment are important questions to consider because their answers guide the methodologies used in animal models. The restricting form of AN is characterized by voluntary reduction in food intake with no significant disturbance in appetite (Garfinkel 1974); thus, the term “anorexia” or loss of appetite is a misnomer. The presence of hunger is reflected in thoughts and dreams of food and activities like baking and handling food, similar to experiences in starving individuals (Casper and Davis 1977). Persons with the binge eating or bulimic form of AN sometimes experience a voracious appetite and eat large amounts of food. In bulimic AN, compensatory behaviors, most commonly vomiting the ingested food or excessive exercise, are used to prevent weight gain. Despite intermittent food consumption, individuals with bulimic AN lose weight due to emesis, albeit not to the same low level as those with restricting AN. Significant loss of weight below 85% of normal weight for age and height or a body mass index (BMI) <18 are symptoms of AN (Hebebrand et al. 2004). The BMI expresses body weight in kilograms (kg) divided by height in meters (m) squared and, in adults, correlates strongly with total body fat content. In children and young adolescents who are still growing, the Iowa growth charts provide more accurate normative values. AN is the only condition known to lead to pathologically low weight without “physical illness.”

Endocrine disturbances

Primary amenorrhea or, in postpubertal females, the absence of menstrual periods for a minimum duration of 3 months are clinical symptoms necessary for the diagnosis, indicating significant physiological adaptations, for example, AN is associated with hypoleptinemia (van Elburg et al. 2007), as a result of weight loss. In most individuals, the hypothalamic–gonadal adaptations that lead to amenorrhea can be related to weight loss and the catabolic state. In a minority of patients who become amenorrheic after moderate weight loss, additional factors, such as stress, seem to influence hypothalamic–gonadal function. Numerous endocrine changes that affect virtually every regulatory system in AN reflect the body’s adjustment to prolonged undernutrition and malnutrition. The more severe the weight loss, the more pronounced and widespread are the adaptations in physiological and endocrine systems. These physiological adaptations can become life threatening, especially in the binge-eating/purging subtype, but all are reversible and normalize with adequate nutrition, weight gain, and normalization of eating patterns (Casper et al. 1977).

Drive for activity, restlessness

Unlike the fatigue and motor slowing typically observed in semistarvation, individuals who are vulnerable to AN tend to become energized and display normal-to-high activity levels and mental alertness when they lose weight (Casper 1998b). The drive for activity allows some individuals with AN to engage in excessive exercise. Higher than normal activity levels in AN have been confirmed experimentally (Casper et al. 1991; Klein et al. 2007; Pirke et al. 1991). We have suggested that the drive for activity, restlessness, and the mental alertness during the starvation state represent core symptoms of AN and, therefore, ought to be included as diagnostic criteria (Casper 2006). The escalation in restlessness and the drive for activity are closely interrelated with the caloric deprivation and the catabolic state and decline with food intake in both subtypes (Hebebrand et al. 2003a). Individuals who reported excessive exercise reported lower minimum BMI, younger age at interview, higher scores on anxiety, perfectionism, and eating disorder symptom measures (Shroff et al. 2006).

Denial of illness, body image disturbances, and other psychological symptoms

The ideation typical for AN, the so-called anorectic attitude, consisting of denial of illness and fear of fatness, makes its appearance at a weight loss of about 15% of previous body weight based on reports from individuals with AN (Casper and Davis 1977). The experience of sustained physical and mental energy likely supports the common assertion that “nothing is wrong.” The so-called body image disturbance, in essence an overestimation of body size and depth despite body wasting, has been shown to be related to denial (Casper et al. 1979; Crisp and Kalucy 1974).

Psychiatric and personality disorders show significant variability and range from adjustment disorders to anxiety disorders, obsessive–compulsive disorders, and depressive disorders. Binge eating in AN has been shown to predict later substance use (Strober et al. 1996). Care must be taken during treatment to distinguish the psychological sequelae of malnutrition from a comorbid psychiatric disorder. The subtypes show different personality features. The restricting subtype is typically associated with emotional, cognitive, and social inhibitions, including perfectionist and obsessive traits, whereas the bulimic subtype tends to be extroverted but emotionally labile to the point of being impulsive (Casper et al. 1992). In the largest study to date, 15% of AN patients qualified for obsessive compulsive personality disorder, 15% for obsessive compulsive disorder, and 16% for both disorders; however, 54% reported neither (Halmi et al. 2005).

Animal models in eating disorders

The suitability and limitations of animal models for investigating eating disorders have been discussed previously in the literature. Smith (1989) in his excellent review conceptualizes several types of animal models: the etiologic, based on the same cause; the isomorphic, based on similar forms; the mechanistic; and the predictive model. Obesity research has made use of all models, including the etiologic, for example, through investigating genetic and dietary determinants of overweight. By contrast, isomorphic models, animal preparations that recreate conditions in which different etiologies produce similar symptoms such as the hyperphagia observed in BN, binge-eating syndrome and in obesity have been favored in eating disorders. For AN, characteristics such as female sex, puberty, decreased food intake associated with significant weight loss, and neuro-endocrine adaptations would seem fundamental to modeling the syndrome in animals. Another detailed and informative discussion of environmentally induced models, spontaneous mutations, and genetic knock-out mouse models of AN has been published by Siegfried et al. (2003). Central to their article was the notion of “anorexia,” i.e., reduced food intake as a defining symptom.

Animal models of AN

Feeding restrictions: activity-based anorexia

One of the most suitable animal models has been the “activity/stress” or “activity-based anorexia” model in mice and rats (Routtenberg and Kuznesof 1967) originally developed to investigate the effects of stress in food intake. This model reproduces core behavioral correlates of AN, the restricted food intake in the presence of hunger, the weight loss, the drive for activity, and the physiologic consequences of undernutrition (Pirke and Ploog 1987). Briefly, rats or mice on a restricted feeding schedule, when given access to a running wheel, show excessive wheel running leading to a decline in body weight; amenorrhea; and, ultimately, death. Maximal wheel running occurs when animals are restricted to one time-limited period of food availability per day (Kanarek and Collier 1983). Initially, animals compensate by increasing the amount of food eaten during the period of restricted access; however, with increased activity, animals no longer increase the amount consumed. “Activity/stress” model animals develop starvation-induced immunodeficiency and atrophy of the spleen and thymus (Watanabe et al. 1992), as well as stress ulcers (Paré 1975), complications not observed in individuals with AN. In this model, administration of l-tryptophan and serotonin agonists and antagonists reduced physical activity (Pirke et al. 1993) and tyrosine supplementation improved appetite and cognitive function and delayed the onset of fatigue in mice (Avraham et al. 2001). Just as activity levels and restlessness in AN are sustained by a negative energy balance and low plasma leptin concentrations (van Elburg et al. 2007), hypoleptinemia (Hebebrand et al. 1997) and low glucose levels increase wheel running in rats (Takeda et al. 2003). Conversely, leptin administration decreases wheel running in rats (Hillebrand et al. 2005). Gelegen et al. (2007) compared the C57BL/6J and DBA/2J strains of inbred mice, which display low and high levels of anxiety and activity-related behaviors, respectively, in the activity/stress model. The trajectory of the decline of serum leptin levels was steeper than in the C57BL/6J strain and correlated with activity in the DBA/2J strain, suggesting that leptin dynamics may influence the development of activity anorexia and conceivably might be involved in generating the drive for activity in AN. Nergardh et al. (2007) reported elevated levels of neuropeptide Y (NPY) mRNA in the hypothalamic arcuate nucleus; intracerebroventricular NPY infusion paradoxically reduced food intake in activity-based anorexia rats.

Epling and Pierce (1988) have pointed to the survival value of the relationship between eating and running. During times of food scarcity, animals either hibernate and conserve energy or become mobile and migrate. Individuals with AN remain remarkably mentally alert and animated, suggesting regionally intact brain metabolism despite cachexia (Casper 2006). Van Kuyck et al. (2007) have monitored cerebral metabolic changes in a positron emission tomography study in the activity-based anorexia model. The investigators found a positive correlation between body weight loss and cerebral metabolism in the cingulate cortex and the adjacent motor and somato-sensory cortex, but hypometabolism in the insular cortex and ventral striatum, suggesting site-specific differences in brain metabolism.

Food restriction alone leading to a catabolic state has been modeled in animals and can serve to study the starvation-induced physiological and endocrine changes and their reversibility (Casper 1998a; Fetoui et al. 2006; Mahoney et al. 2006). The literature describing experimental undernutrition in animals is too vast to be covered here. Recent studies describing the involvement of several genes in regulating differences in the physiological adaptations to dietary restriction, however (Rikke and Johnson 2007), offer possibilities for investigating variations in the human response to fasting.

Stress-induced appetite loss

Animal models simulating loss of hunger are less well suited to reproduce AN, for the simple reason that they are based on an erroneous assumption of loss of appetite. The wasting pig syndrome has been proposed by Treasure and Owen (1997) as a model of AN and stress-induced appetite loss. Exposed to adverse conditions, pigs bred for extreme leanness after weaning may fail to feed normally and can develop the wasting pig syndrome. These pigs are more active than the other animals. The syndrome can be prevented and treated by administration of serotonin (5HT2) receptor antagonists (Kyriakis et al. 1990). Through breeding strategies, Andersson et al. (1994) have also shown that chromosome 4 in pigs, corresponding to chromosome 1 in humans, has a large effect on fat deposition. Another type of stress, restraint, can also reduce food intake in rodents (Wang 2002); “restraint,” however, is not a symptom of AN. The stress model might apply to risk factors for AN because stressful situations may set off dieting efforts leading to weight loss.

Separation models

Here, physical separation acts as a stressor to induce a depression-like condition with decreased feeding, weight loss, and cognitive changes. Mice are housed in one cage but separated by Plexiglass partitions, where they can see and smell each other, and are transferred to a common cage for feeding. Separation reduces food intake and causes severe weight loss and impaired learning in a T maze task. This condition was associated with depletion and increased turnover of hippocampal and hypothalamic catecholamines. Increasing tyrosine availability restored performance to control levels (Hao et al. 2001). Depressive disorders with loss of appetite are uncommon as direct precursors of AN. In AN, serotonin agonists or antagonists have been found to be minimally effective, and tyrosine administration has not undergone placebo-controlled trials for the treatment of AN. To date, no pharmacological agent has been approved by the FDA for the treatment of AN.

Genetic animal models

Despite a wealth of studies, no consistent associations between susceptibility genes and AN or BN have been reported (Klump and Gobrogge 2005). A review of genetic linkage and association studies in eating disorders is beyond the scope of the article. We will give here an example of how the behavior of genetically modified animals can inform the search for candidate genes. Observations of altered feeding behavior leading to increased body weight in brain-derived neurotrophic factor (BDNF) knockout mice and reports that intraventricular administration of BDNF in rats resulted in reduced feeding and weight loss prompted Ribases et al. (2003) to study the BDNF gene in AN. The investigators observed a strong association between restricting AN, as well as minimum body weight, and an amino acid substitution within the BDNF precursor protein (Val66Met); they replicated the findings in an independent sample (Ribases et al. 2005). Because the BNDF mutation would be expected to increase food intake, the finding appears counterintuitive. Recently, other researchers have failed to find evidence for a preferential transmission of the 66Met allele of BDNF in AN (Dardennes et al. 2007). With regard to appetite and energy regulatory peptides, no associations between AN or BN have been found with the ghrelin gene (Monteleone et al. 2006b) and for AN in single nucleotide polymorphisms (SNPs) in the leptin receptor (Quinton et al. 2004). For the bulimic subtype of AN, only, two polymorphisms have been reported, one in the Leu72Met SNP of the preproghrelin gene and another for the Ala67Thr of the Agouti-related protein (AGRP) gene (Dardennes et al. 2007).

Johansen et al. (2003) have suggested that the anorexic (anx/anx) mouse, a spontaneous mouse mutation, can be used for studying food intake and energy expenditure as a model of AN. “Anorexia” (anx) is a recessive mutation that causes decreased food intake leading to death 20–30 days after birth in homozygous mice. The mice have reduced serum leptin levels and show abnormalities in the orexigenic (NPY/AGRP neurons) and the anorexigenic [pro-opiomelanocortin (POMC)/cocaine- and amphetamine-related transcript (CART) neurons] pathways. Besides their cachectic appearance, these mice show body tremors, ataxia, head weaving, and hyperactivity. The investigators (Fetissov et al. 2005) have also studied contactin knock-out mice, which resemble in phenotype the “anorexia” mouse and show similar changes in central pathways. In view of the normal motility, the preserved appetite and normal regulation of plasma leptin levels (Eckert et al. 1998) in individuals with AN, the neurological deficit/starvation syndrome in these mutant lines bear little resemblance to the human condition.

To study hedonic and motivational responses to food intake, Papaleo et al. (2007) created a mu-opioid receptor (MOR) -deficient mouse. MOR-deficient mice showed lower levels of food-driven nose-poking but no cognitive abnormalities. Polymorphisms have not been reported for the mu receptor but have been found for the delta-1 opioid receptor gene (Brown et al. 2007), pointing to the potential usefulness of opioid receptor-deficient mice for studying changes in appetitive behavior in AN. In summary, the symptoms of AN are most closely reproduced by the activity stress rodent model. In the future, this model might yield valuable information through the inclusion of genetically modified animals. Models employing food restriction with stress-induced appetite loss leading to weight loss provide a poor fit for the human syndrome. To date, experimental manipulation of animals has not significantly contributed to our knowledge about the etiology AN. In the future, genetic models might prove more useful.

Bulimia nervosa

BN is characterized by recurrent episodes of binge eating with a sense of lack of control over eating and associated with recurrent compensatory behaviors such as vomiting, excessive exercise, and laxative or diuretic misuse. Self-evaluation is unduly influenced by body shape and weight. In the nonpurging subtype of BN, the person uses fasting or excessive exercise to counteract the surplus intake of food.

Hunger, appetite, and weight loss in BN

As a result of chronic dieting, individuals with BN continuously contend with hunger sensations and thoughts of seeking food or strategies to avoid food to the point of not being able to attend to other matters. Eating large amounts of food on a daily basis and the loss of food through postprandial vomiting interfere with satiety signals (Zimmerli et al. 2006). Instead of regular meals during daytime, efforts at avoiding food at all costs, punctuated by nocturnal eating binges followed by vomiting, produce an unpredictable and chaotic eating pattern. The persistent wish to eat reinforces the sense of lack of control over food described by individuals with BN as “addiction to food.” The ability to regurgitate and to vomit food, in part self-taught and habituated, is a characteristic of BN and may be familial because habitual regurgitation or rumination has been described in relatives (Parry-Jones 1994). Body weight tends to remain within the normal to high normal range (BMI between 18–30).

Psychological disturbances

Both subtypes of BN have a high comorbidity with mood disturbances, ranging from minor to marked psychopathology. In outpatient populations, about two thirds of individuals with BN qualified for an affective disorder (Brewerton et al. 1995). Substance use disorders are associated with BN, albeit less frequently than affective disorders (Hatsukami et al. 1984). Individuals with BN are more stress-sensitive than individuals with AN; minor stressful experiences can trigger eating binges.

Genetic studies in BN

Genetic association and linkage studies in BN have examined the relationship between trait-based variations in phenotypes such as affective instability or anxiety as a source of negative emotions, as well as eating pattern phenotypes to variability in candidate genes. Specifically, the contribution of the serotoninergic system to anxious and depressive traits, which may be partially responsible for the variability in the psychopathology of BN, has been explored (Frieling et al. 2006; Monteleone et al. 2006a). With respect to other regulators (Ribases et al. 2004), the Met66 allele of the Val66Met of the BDNF variant was found to be associated with AN and BN. To our knowledge, a model of BN based on single gene mutations or quantitative trait loci in animals has not been developed.

Animal models of BN

Nearly all models focus on identifying potential environmental determinants of binge eating behavior. The relationship between prolonged food restriction and overeating or binge eating once food becomes available in a normal population is well documented from the Minnesota Starvation experiments (Keys et al. 1950). Stress and negative emotions have been found to contribute to binge eating in BN.

Stress-induced hyperphagia

Periods of restricted feeding in rats followed by free access to food mimic to some extent the intermittent self-imposed fasting and the yielding to food. When this protocol was combined with acute stress in the form of a foot shock, animals became hyperphagic once they had access to highly palatable food; if only chow was available, overeating did not occur. Recurrent cycles of restriction followed by stress regularly increased food intake (Hagan et al. 2002). Inoue et al. (2006) have proposed that the hyperphagia induced by space restriction of rats following time-restricted feeding could serve as a model of stress-induced eating in normal subjects and the disorganized eating of individuals with BN, nonpurging type. This paradigm may identify pathways through which negative emotions trigger abnormal eating responses.

Hyperphagia due to impaired satiety

The defect in satiety mechanisms in BN, aggravated by postprandial vomiting or purging, can be modeled in the sham-feeding rat (Davis and Campbell 1973; Mook 1963). A gastric fistula is placed to have the ingested liquid food drain from the stomach, thereby minimizing contact of food with the gastric and intestinal mucosa, producing a reversible, acquired defect in satiation. As expected, these rats eat abnormally large meals. With repetition, the interval time shortens and the size and length of the sham-fed meals increase, suggesting that the rat is learning to eat more under conditions of defective satiation. Such binge meals were also affected by the palatability of the diet, suggesting that, in the rat, oral sensory stimulation influenced sham feeding, given the lack of caloric absorption. In these experiments, rats maintained weight by being fed outside the sham-feeding tests.

Estradiol and satiation

Bulimic AN is associated with amenorrhea, raising the possibility that low estrogen levels may contribute to periodic bouts of overeating. Asarian and Geary (2007) have in fact shown in ovariectomized rats that estradiol acting on estrogen receptor (ERalpha) signaling markedly increased the satiating potency of intraduodenal lipid infusions via a cholecystokinin-dependent mechanism.

Meal patterning and binge eating

The psychopharmacological and neural circuit influences on meal patterns in rodents have been reviewed by Clifton (2000). Meal patterning appears to be regulated through a multitude of redundant mechanisms. It is therefore not surprising that drugs are only partially effective for controlling eating binges and that fluoxetine, only, has been approved for the treatment of BN. To replicate meal patterning of food binges in rodent models, the precise consumption pattern in BN needs to be known. Intake patterns in BN are still being studied by Kissileff et al. (2007), who confirmed recently that “rapid food consumption” during a binge occurs even at different rates of food presentation. Patients with BN ate equally large amounts at a slow rate of food presentation as at a fast rate, as opposed to control subjects who ate less when food was presented at a slow rate.

Other environmental models of bingeing use various combinations of restriction/refeeding cycles and/or stress, limited access to optional foods, and eating induced by schedules of reinforcement maintaining operant behavior (Corwin 2006). For example, limited access to highly palatable shortening established similar consumption of shortening during the limited time period (2 h) and the 24-h ab libitum period in rats. These models address the consumptive side of BN, and they are suitable for testing drug effects on food intake behavior. Nevertheless, mindful of the differences in the pharmacologic responses between humans and rodents, new drug development for the treatment of BN concentrates on drug testing in human subjects (Naessen et al. 2007).

In summary, as far as we know, no models of overeating have reproduced the voluntary elements in the periodic daytime food restriction; the sense of lack of self-control; or, except for the sham-feeding model, the emesis following the binge-eating bouts of BN. The regurgitation model in gorillas proposed by Gould and Bres (1986) appears to be a better model for childhood rumination disorder than for BN. Food availability and palatability play a significant role in the disordered eating of BN patients. For instance, imposing external controls through hospitalization with regular meals of hospital food effectively eliminates binge eating in individuals with BN.

In conclusion, the symptom constellation of overeating, postprandial vomiting, and impaired satiety can be modeled best in the sham-feeding animal. Rodent models of stress-induced hyperphagia, the contribution of estradiol, meal patterning, operant schedules of food access, and food palatability may be useful for drug development. For BN, specifically, laboratory experiments in humans continue to yield significant new information (Kissileff et al. 2007).


Clinical features of obesity

Obesity is defined as a state of excess body fat. Because accurate body fat measurements require specialized procedures, obesity is commonly defined in terms of body weight (Ogden et al. 2007). The National Institutes of Health classifies an adult as obese if their BMI is 30 or greater and overweight if their BMIs are between 25.0 and 29.9 (NIH 1998; Ogden et al. 2006). Children and adolescents (age 2–19) are considered overweight if their BMIs are in the 95th percentile for their age and gender based on growth charts from the Center for Disease Control and Prevention (Kuczmarski et al. 2002).

Epidemiology of obesity

The increasing prevalence of overweight and obese individuals is a global problem that affects over a billion adults and 17.6 million children under the age of 5 (Flegal et al. 2002; Strychar 2006; Waxman 2004). Weight gain has escalated over the past two decades, such that only a minority (<34%) of adult Americans are currently considered to have a healthy BMI (Ogden et al. 2006). Moreover, 17% of children and adolescents in the USA are currently overweight (Ogden et al. 2006). Obesity varies by age group, gender, and race–ethnic group, with elevated rates observed in individuals that are older (up to age 80), female, or African American (Ogden et al. 2006).

The increasing prevalence of obesity has large implications for the health of the human population. Obesity is associated with overall increases in morbidity and mortality (Paffenbarger et al. 1993), resulting from an increased risk of diabetes mellitus (Colditz et al. 1990; Folsom et al. 1996; Kujala et al. 1994; World Health Organization 2000), heart disease (World Health Organization 2000; Hamm et al. 1989; Klein et al. 2004; Kujala et al. 1994; Manson et al. 1990; Rimm et al. 1995; Willett et al. 1995), hypertension (World Health Organization 2000; Kujala et al. 1994), stroke (World Health Organization 2000), dyslipidemia (World Health Organization 2000), pulmonary diseases (World Health Organization 2000), colon cancer (Giovannucci et al. 1995), and breast cancer (Ziegler et al. 1996). If obesity rates rise at the current pace, obesity will exceed smoking as the leading preventable cause of death in the USA within the next few years (Mokdad et al. 2004).

Etiology of obesity

Obesity occurs when individuals consume more calories than they expend over a prolonged period of time, resulting in storage of excess calories in body fat. Obesity is a multifactorial disease caused by environmental and genetic factors and the complex interactions among them. The recent surge in the prevalence of obesity is unlikely to have resulted solely from genetic factors, as the genetic composition of the human population has not changed substantially during this brief time period. Environmental factors and lifestyle trends toward decreased physical activity and increased caloric intake contribute substantially to the increasing prevalence of obesity. Factors such as the availability of diverse, highly palatable, energy-dense foods; large portion sizes; and increased snacking are likely to contribute to increased calorie consumption. As there is no indication that basal metabolic rates have declined over the last two decades (De Lorenzo et al. 2001; Frankenfield et al. 1998), this is unlikely to account for the escalating prevalence of obesity. However, there is ample evidence that decreased physical activity contributes significantly to the obesity epidemic (Levine 2004; Speakman and Selman 2003). The modern “obesigenic environment” has minimized the need for physical activity and enabled ready access to energy-dense food in quantities that exceed individual needs.

Although genetic factors are unlikely to account for the increased prevalence of obesity, they play a large role in determining who becomes obese. Some groups of individuals, such as Pima Indians and Pacific Islanders, are particularly prone to weight gain (Friedman 2003; Ravussin and Gautier 1999). Up to 70% of the variability in human adiposity results from genetic endowment, as estimated in twin, adoption, and family studies (Bell et al. 2005; Farooqi and O’Rahilly 2005b; Hebebrand et al. 2003b). Linkage studies suggest that many distinct genetic loci contribute to the heritability of obesity. Currently, over 250 genes, markers, or chromosomal regions have been shown to be associated with human obesity, including mutations of genes encoding leptin, the leptin receptor, and the melanocortin 4 receptor (MC4R) (Rankinen et al. 2002).

Obesity is associated with disordered eating

Obesity is associated with two eating disorders: binge-eating disorder (BED) (Corwin and Buda-Levin 2004) and night-eating syndrome (NES) (Stunkard and Allison 2003b). Binge eating is defined as “eating during a discrete period of time (e.g. within any 2 hour period), an amount of food that is definitely larger than most people would eat during a similar period of time under similar circumstances” (DSM 2000). Binge eating is a complex behavior associated with feelings of loss of control, disgust, guilt, depression, and embarrassment (Corwin and Buda-Levin 2004). Both BED and BN are characterized by binge eating. However unlike BN, binge eating in BED is not accompanied by compensatory behaviors such as purging, fasting, or excessive exercise (Marcus et al. 1985). BED is further defined as binge eating that occurs twice per week for at least 6 months (Stunkard and Allison 2003a). BED is associated with early onset of obesity, increased frequency of weight cycling, greater susceptibility to weight regain, and psychiatric disturbances such as anxiety disorders, depression, and substance abuse (Striegel-Moore and Franko 2003). The most common current treatments, which include antidepressants and cognitive behavioral psychotherapy, are only modestly successful for the long-term reduction of binge eating (Stunkard and Allison 2003a; Yanovski 1993). Interestingly, mutations in the MC4R are associated with an increased incidence of BED (Branson et al. 2003).

As BED has been recently introduced into psychiatric nomenclature, epidemiologic research on the disorder is limited. Preliminary studies indicate that BED occurs more frequently than either AN or BN (McElroy et al. 2007). In the general population, BED prevalence estimates range from 1.5% to 5% in women and 1% to 3% in men (Striegel-Moore and Franko 2003; Yanovski 1993). The prevalence of BED is higher in obese individuals, with 20–30% of obese individuals seeking treatment displaying BED (Jarosz and Metzger 2002; Striegel-Moore and Franko 2003; Yanovski 1993). Thus, binge eating may be an important contributor to the development and maintenance of obesity in a subgroup of obese individuals.

NES was first described by Stunkard et al. in 1955 (1955) and is defined as consumption of more than 50% of ones’ daily caloric intake at night. NES is also characterized by morning anorexia and insomnia (Stunkard and Allison 2003b) and with alterations in circadian regulation, characterized by a delay in phase onset. Individuals with NES have difficultly falling asleep and difficulty maintaining sleep with awakenings associated with food intake (Stunkard and Allison 2003b). The amount of food consumed by individuals during each night-feeding episode was found to be approximately the same size as a moderate snack (approximately 270 calories), smaller than the amount of food consumed by individuals with BED and BN during an eating binge (Birketvedt et al. 1999). NES is comorbid with depression (Gluck et al. 2001) and is associated with increased weight gain and obesity (Grilo and Masheb 2004). Individuals with NES have been reported to show attenuated hypothalamic–pituitary–adrenal axis responses to corticotropin-releasing hormone (Birketvedt et al. 2002). They have also been reported to have elevated circulating levels of cortisol (Birketvedt et al. 1999) and ghrelin (Rosenhagen et al. 2005) and a reduced nocturnal rise in levels of melatonin and leptin (Birketvedt et al. 1999).

NES is estimated to occur in 1.5% of the general population and is reported to be higher in obese individuals (Rand et al. 1997). Prevalence of NES in obesity clinics and in obese individuals seeking surgical treatment is estimated to range from 9% and 43% (Rand et al. 1997; Stunkard and Allison 2003b). In contrast to the limited evidence for a familial tendency in BED, there is evidence for a strong aggregation of NES in families. (Lundgren et al. 2006; Stunkard and Allison 2003b). Recent evidence suggests that treatment with the selective serotonin reuptake inhibitor, sertraline, is effective in reducing nighttime eating and promoting weight loss in obese individuals with NES (O’Reardon et al. 2006; Stunkard et al. 2006).

Animal models of obesity

Though further study of the human population is critical to understanding obesity and assessing potential therapeutic interventions, many mechanistic questions require the use of animal models. Animal models have contributed substantially to current knowledge of body weight regulation and obesity. Studies in animals have provided key insights into the central and peripheral biological pathways regulating body weight and energy balance. Furthermore, animal models have been effectively used to explore environmental influences on body weight and energy balance and have also been critical for the identification of therapeutic targets and for evaluating novel obesity treatments.

The characterization of rodent obesity syndromes arising spontaneously from single gene mutations has played an important role in obesity research. Currently, 10 spontaneous single-gene mutations that confer an obesity phenotype have been characterized (Speakman et al. 2007). The prototypical example is the obese (ob/ob) mouse. These mice are profoundly obese, hyperphagic, and diabetic and have reduced locomotor activity and metabolic rates (Garthwaite et al. 1980; Mayer et al. 1953; Pelleymounter et al. 1995). Initial parabiosis experiments revealed that ob/ob mice lack a circulating factor produced by their wild-type litter mates (Coleman 1973, 1978). Friedman and colleagues used positional cloning to identify this factor as the adipocyte hormone leptin (Friedman et al. 1991; Zhang et al. 1994). Additional studies revealed that leptin treatment reverses obesity in ob/ob mice by normalizing food intake, locomotor activity, and metabolic rate (Halaas et al. 1995; Pelleymounter et al. 1995). The diabetic (db/db) mice and Zucker fatty (fa/fa) rats display similar obesity phenotypes, but instead of lacking leptin, these animals bear loss-of-function mutations of leptin receptor genes (Elmquist et al. 1999). These studies provide solid evidence that leptin signaling is critical for body weight regulation, a conclusion highlighted by the morbid obesity seen in rare individuals with leptin null mutations (Farooqi and O’Rahilly 2005a).

In addition to the insights gained from analysis of obesity syndromes arising from spontaneous mutations, planned genetic manipulations generated by transgenic and gene targeting technologies have contributed substantially to obesity research. These technologies enable the selective manipulation of the expression levels of particular genes. Most commonly, investigators have sought to either overexpress or to eliminate the expression of a particular gene. Overexpression has been typically achieved by the introduction of a transgene consisting of promoter sequences for the gene of interest upstream from the coding sequence of the gene (Speakman et al. 2007). Conversely, “knockout mice” bearing null mutations that completely eliminate expression of the gene of interest have been generated using gene-targeting methodologies.

The utility of gene knockout mice in obesity research is illustrated by studies of the central melanocortin system, which plays a prominent role in regulating energy homeostasis (Coll 2007). The central melanocortin system is a collection of neural circuits including arcuate nucleus hypothalamic neurons containing POMC and CART, which act to inhibit food intake. A cleavage product of the POMC precursor, α-MSH acts as an agonist at melanocortin-3 receptor (MC3R) and MC4R to inhibit food intake and weight gain (Cone 2005). Within the arcuate nucleus, another pathway exists with opposing effects on feeding. Neurons of this pathway express NPY and AGRP, which act to increase food intake. AGRP suppresses activation of the melanocortin pathway by acting as an endogenous antagonist at MC3Rs and MC4Rs (Cone 2005; Ellacott and Cone 2006).

The melanocortin system was implicated in body weight regulation by studies of obese agouti mice (Ay/a) that bear a spontaneous mutation leading to ectopic overexpression of the agouti protein (Miltenberger et al. 1997; Salton et al. 2000), which exerts an antagonist action at melanocortin receptors (Lu et al. 1994). However, as there are five melanocortin receptor subtypes; it remained unclear which were involved in body weight regulation. A prominent role for the MC4R was highlighted by MC4R knockout mice, which exhibited maturity-onset obesity, overeating, hyperinsulinemia, and increased linear growth (Huszar et al. 1997). The role of the MC4R in body weight regulation was further confirmed by pharmacologic studies showing that MC4R agonists suppress food intake and antagonists increase food intake (Kask et al. 1998a; Murphy et al. 1998; Skuladottir et al. 1999). These studies led ultimately to the discovery of mutations in the melanocortin system in obese humans (Krude et al. 1998). In contrast to the rarity of human leptin deficiency, mutations of the gene encoding MC4R are the most common known form of human monogenic obesity estimated to occur in 4–6% of morbidly obese individuals (Farooqi et al. 2003; Lubrano-Berthelier et al. 2003; Vaisse et al. 2000).

MC4R knockout mice have also implicated the MC4R in the obesigenic effects of high-fat diets (Butler et al. 2001). MC4R knockout mice display accelerated weight gain when placed on a diet with increased fat content, due to enhanced hyperphagia and loss of the compensatory increase in metabolic rate and activity in response to high-fat diet consumption (Butler et al. 2001). Thus, the MC4R knockout mouse is important, as it led to further elucidation of the regulation of body weight by the melanocortin system, identified a potential target for obesity treatment (Butler 2006), and models a relatively common type of human obesity.

The serotonin (5-HT) system has also been strongly implicated in body weight regulation, as illustrated by the use of the serotonergic agent fenfluramine as an appetite suppressant (Blundell and Leshem 1975; Foltin and Moran 1989; Grinker et al. 1980; McGuirk et al. 1991; Rogers and Blundell 1979). Due to the limited availability of selective pharmacological agents, the relative contributions of the 14 subtypes of serotonin receptors to feeding regulation were difficult to determine. To study the contributions of the 5-HT2CR to the actions of serotonin, mice lacking 5-HT2CRs were generated (Tecott et al. 1995). These animals exhibited an obesity syndrome characterized by reduced sensitivity to fenfluramine, hyperphagia, and maturity-onset obesity and enhanced susceptibility to the adipogenic and diabetogenic effects of dietary fat (Nonogaki et al. 1998; Tecott et al. 1995). These findings indicated that the 5-HT2CR subtype plays a substantial role in the serotonergic regulation of body weight. Although there is no definitive evidence that variants of the 5-HT2CR gene play a significant role in human obesity, the knockout studies fueled attempts to develop 5HT2CR agonist appetite suppressants, one of which is currently advancing through clinical trials (Miller 2005; Smith et al. 2006).

It is important to consider several caveats when interpreting the phenotypes of mutant mice; they include the potential for developmental compensations (Crawley 1996; Lathe 1996; Wilson and Tonegawa 1997), the influence of background genotype (Crawley 1996; Gerlai 1996; Sibilia and Wagner 1995; Simpson et al. 1997; Threadgill et al. 1995), and environmental factors such as diet and stress (Crabbe et al. 1999). Such factors can result in unanticipated phenotypes, as exemplified by the NPY knockout mouse. Even though NPY is one of the most potent orexigenic peptides (Salton et al. 2000), NPY knockout mice have normal levels of food intake and body weight (Erickson et al. 1996). Furthermore, deletion of either the NPY Y1 (Pedrazzini et al. 1998) or the Y5 (Marsh et al. 1998) receptor resulted in the paradoxical induction of obesity. Thus, the genetic studies exploring the role of NPY in body weight regulation were inconsistent with the pharmacologic studies. Because conventional gene knockout techniques result in constitutive gene deletion throughout the entire organism and throughout development, the interpretation of mutant phenotypes may be complicated by potential compensatory effects that do not reflect the normal adult role of the gene product.

Recent progress in mouse molecular genetic methods enables the circumvention of such problems by enabling the restriction of gene expression to particular cell types or to discrete anatomical regions. Furthermore, it is possible to manipulate the gene of interest during a specific period of the animals’ life, eliminating the confounds of development compensations (Davey and MacLean 2006). One of the most common genetic strategies used today employs the Cre/loxP recombination system. This involves crossing two separate mutant mouse lines, one which expresses Cre recombinase under the control of a cell type and/or -temporally regulatable promoter, and a second in which a critical region of the target gene is flanked by Cre recombinase recognition (loxP) sites. In mice bearing both the Cre transgene and the floxed target gene, Cre recombinase catalyzes recombination between the loxP sites, resulting in the deletion of the intervening target sequence (Davey and MacLean 2006; Ghosh and Van Duyne 2002). The target gene is deleted only in those cells expressing Cre and functions normally in all other cells of the body. Lines of mice in which Cre is under the control of an inducible promoter are used to temporally regulate when the target gene is deleted, allowing investigation of target gene function during different stages of development.

These techniques provide powerful tools for unraveling the pathways that regulate body weight. For example, Jeffrey Friedman and colleagues have used the Cre/loxP system to delete the leptin receptor from particular cell and tissue types (Cohen et al. 2001). Mice were created in which leptin receptors were removed specifically from neurons, and a correlation was found between the number of hypothalamic leptin receptors and obesity, such that mice with the lowest levels of hypothalamic leptin receptors were the most obese (Cohen et al. 2001), indicating that central leptin receptors are a direct target for leptin’s anorexigenic action. A discrete central locus of leptin action on the melanocortin system was further suggested by neuroanatomical (Cheung et al. 1997) and pharmacological evidence (Kask et al. 1998b; Seeley et al. 1997). To directly test the physiologic relevance of leptin receptors expressed by POMC neurons, the cre/loxP system was again employed (Balthasar et al. 2004). Deletion of leptin receptors from POMC neurons resulted in mice that were mildly obese (Balthasar et al. 2004), indicating that leptin receptors expressed on POMC neurons are important but not solely responsible for leptin’s regulation of body weight.

Animal models are also important for exploring the effects of environmental factors on body weight and obesity. One of the most studied environmental factors is diet. Understanding the effects of dietary composition on body weight regulation is critical. However, manipulating the diet of humans is very challenging. Indeed, self-reported food intake data are notoriously inaccurate (Champagne et al. 1998; DeLany et al. 2002). Studies in mice show that certain strains of mice such as C57BL/6J (Surwit et al. 1995) and DBA/2J (Alexander et al. 2006; Funkat et al. 2004) have increased susceptibility to weight gain on a high-fat diet, whereas others, such as A/J, are resistant to diet-induced obesity (Surwit et al. 1995). When outbred Sprague–Dawley rats are placed on a high-fat diet, about half become obese, while the other half are resistant to weight gain (Levin 1990; Levin and Dunn-Meynell 1997; Levin et al. 1997; Levin and Keesey 1998). The characterization and selective breeding of these two groups of rats has lead to the identification of differences in food intake, feed efficiency, and the expression level of hypothalamic food intake regulatory peptides (Levin and Dunn-Meynell 1997; Levin et al. 1997). Nonhuman primate studies indicate that there are large differences between individuals in high-fat-diet-induced weight gain and that the individuals with the highest levels of physical activity are the least likely to gain weight (Sullivan et al. 2005; Sullivan et al. 2006). Many investigators are currently using animal models to identify physiological, genetic, and neural circuit influences on susceptibility to diet-induced obesity.

In addition to studies of adult environmental influences on energy balance, intrauterine and early childhood influences are under active study. Although intrauterine environmental influences on susceptibility to obesity were first described in humans (Charney et al. 1976; Chen et al. 2005; Ekelund et al. 2005; Laitinen et al. 2001; Levin 2000; Maffeis et al. 1994; Parsons et al. 2001; Ravelli et al. 1999; Ravelli et al. 1976; Roseboom et al. 2001; Silliman and Kretchmer 1995; Simmons and Breier 2002; Whitaker 2004; Whitelaw 1976), animal models hold promise for providing important insights into the underlying mechanisms. High-fat diet consumption by mothers during pregnancy and lactation has long-term consequences on offspring weight, body fat content, and orexigenic and anorexigenic neuropeptide systems (Guo and Jen 1995; Levin and Govek 1998). Moreover, both maternal undernutrition and maternal type 2 diabetes mellitus during gestation and lactation also predispose adult offspring to obesity and insulin resistance (Fernandez-Twinn et al. 2005; Petry et al. 1997).

The capacity of the early postnatal environmental condition to produce long-term influences on energy balance in adult offspring is another area of active investigation. For example, rat pups from mothers fed a high-fat diet during gestation cross fostered to dams consuming a low-fat diet during lactation became more obese than pups whose mothers consumed a low-fat diet during gestation and were cross fostered to female rats consuming a high-fat diet during lactation (Levin 2006). Animal studies have revealed that malnutrition (Jones et al. 1984), insulin injections (Jones et al. 1996), and maternal stress, such as injection of endotoxins and immunosuppressants during gestation, also predispose offspring to adult obesity (Levin 2006). The composition and volume of maternal milk are also important determinants of the development of metabolic regulation (Levin 2006). Milk volume is experimentally increased by reducing the number of pups that a mother feeds. Rodents from small litters become obese and leptin-resistant (Faust et al. 1980; Schmidt et al. 2001; Voits et al. 1996) and eat more (Oscai and McGarr 1978; Plagemann et al. 1992; Plagemann et al. 1999a, b) than rodents from normal-sized litters.

Animal models of BED

The mechanisms underlying binge eating and the physiologic and neural effects of binge eating are not well understood nor easily studied in humans; thus, the development of animal models of binge eating is important (Corwin and Buda-Levin 2004; Yanovski 1995). As in BN, modeling emotional afflictions such as distress and loss of control are difficult in animals; thus, most of the animal models of BED strive to mimic the central behavioral feature of the disorder: binge eating. The animal models of binge eating are described in detail in the animal models of “Bulimia nervosa” section and include animal models where binging is induced by sham-feeding using a gastric fistula, acute (foot shock, tail pinch) and chronic (space restriction and maternal separation) stressors, cycles of food restriction, and limited access to highly palatable food (Corwin and Buda-Levin 2004).

Animal models of NES

Currently, animal models of NES have not been developed. A study in nonhuman primates found large differences in night eating between individual monkeys, with some monkeys consuming 60% of their total calories at night (Sullivan et al. 2005). However, the individuals eating the largest proportion of calories at night did not show an increased propensity to gain weight and were not heavier or fatter than monkeys eating the majority of their daily caloric intake during daytime hours (Sullivan et al. 2005), suggesting that factors other than consumption of calories at night play a role in the predisposition of individuals with NES to obesity. Rodent studies show that feeding during the circadian phase when they normally sleep alters peripheral and central regulation of circadian rhythms (Damiola et al. 2000; Yamazaki et al. 2000). These animal models could be used to examine the metabolic and neuroendocrine consequences of consuming food during the night.


Although animal models have contributed to the current understanding of the eating disorders AN, BN, and obesity, they have done so in different ways and to different degrees. This is in part due to differences in the extent to which the pathophysiology of these disorders are currently understood. For example, in AN and BN, the behavioral factors associated with these disorders have been well characterized. However, the behavioral determinants of body weight and energy balance regulation are less well described in humans, with physical activity being one of the determinants. Because self-report data are notoriously unreliable (Champagne et al. 1998; DeLany et al. 2002) and feeding patterns are skewed by the laboratory setting (Mitchell et al. 1998), new approaches are required to characterize feeding/activity phenotypes in human obesity. Although many of the studies characterizing animal models of obesity measure daily food intake, few studies include detailed assessment of physical activity and food intake patterns. Examining the behavioral perturbations of animal models of obesity could provide important insights into behavioral regulation in obese humans. Thus, studies of rodent obesity models would benefit from greater emphasis on the behavioral determinants of energy balance, such as feeding and physical activity.

In contrast, genetic determinants underlying obesity have been much more extensively characterized than those predisposing to either AN or BN. The evidence implicating MC4R mutations in human obesity is much stronger than that for any genetic defect in AN or BN. Currently, the ability to use mice to examine genetic etiological factors for AN and BN must await breakthroughs in human genetic studies of these disorders.


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Copyright information

© Springer-Verlag 2008

Authors and Affiliations

  • Regina C. Casper
    • 1
  • Elinor L. Sullivan
    • 2
  • Laurence Tecott
    • 2
  1. 1.Department of Psychiatry and Behavioral SciencesStanford University School of MedicineStanfordUSA
  2. 2.Department of PsychiatryUniversity of California, San FranciscoSan FranciscoUSA

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