Introduction
Obesity is a chronic, complex multi-factorial disease characterised by excess adiposity that impairs health and is associated with increased risk of physical, functional and mental health complications(Reference León-Román, López-Martínez and Esteves1–Reference Dicker, Karpati and Promislow6). The aetiology of this disease is not simply an energy imbalance but an adipocyte mass dysregulation due to genetic, neuroendocrine and environmental factors(Reference Dicker, Karpati and Promislow6–Reference Tonin, Eržen and Mlinarič8). To understand how obesity impacts eating behaviour, it is first necessary to outline the neuroanatomical and physiological structures upon which the disease acts.
Homeostatic eating
Homeostatic eating is driven by energy demand and regulated primarily through hypothalamic circuits with contributions from peripheral signals of nutrient status and adiposity(Reference Muroya, Funahashi and Yamanaka9). The gut-brain axis is the bidirectional communication network linking central appetite control and peripheral energy status and plays a key role in energy homeostasis, and its dysregulation contributes to the pathophysiology of obesity(Reference Murray, Tulloch and Gold10–Reference Donofry, Stillman and Erickson12).
Homeostatic appetite regulation is centred around the arcuate nucleus (ARC) of the hypothalamus, adjacent to a permeable region of the blood-brain barrier. The ARC co-ordinates two opposing neuronal populations. Orexigenic neuropeptide Y (NPY) and Agouti-related protein (AgRP) neurons, concentrated in the lateral hypothalamus and stimulated by ghrelin and orexin signalling, promote feeding via suppression of glucose-responsive (GR) neurons and subsequently activate feeding circuits(Reference Murray, Tulloch and Gold10,Reference Kukkonen and Leonard13) . Anorexigenic pro-opiomelanocortin (POMC) and cocaine- and amphetamine-regulated transcript (CART) neurons exert the opposing effect, with subsequent release of alpha-melanocyte stimulating hormone (α-MSH), binding to melanocortin-4 receptors (MC4R) in the brainstem and spinal cord to promote satiety and suppress food intake(Reference Tao14,Reference Lau and Herzog15) .
Additional hypothalamic nuclei contribute to this regulatory network: the paraventricular nucleus (PVN) receives innervation from NPY/AgRP and POMC/CART neurons, integrating both orexigenic and anorexigenic signalling pathways before relaying signals to the brainstem and autonomic nervous system(Reference Muroya, Funahashi and Yamanaka9,Reference Alcantara, Tapia and Aponte16) . The VMH, in addition to GR neuron function, plays an important role in satiety; with studies displaying a link between VMH degradation and obesity(Reference King17,Reference Gaur, Pal and Ananthanarayanan18) . The lateral hypothalamic area (LHA) contains orexigenic neurons, functioning as a feeding centre by modulating hyperphagic behaviour(Reference Andermann and Lowell19,Reference Morton, Meek and Schwartz20) . In terms of meal timing and stress-induced feeding, the dorsomedial hypothalamus (DMH) plays a role in circadian regulation of food intake through signalling from both the limbic and cortical regions(Reference Chou, Scammell and Gooley21). Leptin, secreted by adipocytes, reciprocally inhibits NPY/AgRP and activates POMC neurons. Leptin resistance, as seen in obesity impairs this feedback loop resulting in increased food intake(Reference Cowley, Smart and Rubinstein22).
Peripheral gut hormones translate meal-related nutrient sensing into appetite signals delivered to hypothalamus and brainstem circuits via the vagal afferent pathways. Ghrelin, secreted by X-A-like cells in the fundus of the stomach, is the only established peripherally acting orexigenic hormone. Serum ghrelin is at its peak in fasted states and declines following feeding. It acts primarily on NPY/AgRP neurons to promote appetite and adipogenesis(Reference Davies, Kotokorpi and Eccles23).
One of the most important anorexigenic signals come from glucagon-like peptide-1 (GLP-1), produced by L-cells in the ileum and colon. GLP-1 binds to its aforenamed receptors in the brainstem, hypothalamus and vagal neurons, to delay gastric emptying and reduce food intake(Reference Liu24). Peptide YY (PYY) is secreted alongside GLP-1 by the same L-cells, however, primarily target Y2 receptors in the hypothalamus to ultimately inhibit NPY/AgRP neurons(Reference Kukkonen and Leonard13). PYY synergistically acts with Amylin, secreted by pancreatic Beta-cells postprandially, to slow gastric emptying and reduce meal size. Glucose-dependent insulinotropic polypeptide (GIP) has more recently been identified as a modulator of appetite and adipogenesis, with benefits seen in individuals treated with GIP/GLP-1 agonists(Reference Jastreboff, Ryan and Bays25).
Hedonic pathways
In contrast to homeostatic eating, hedonic eating is driven by the reward and motivational value of food; mediated by mesolimbic dopaminergic and opioid pathways(Reference Saper, Chou and Elmquist26). Foods high in fat and sugar, generate a significant release in dopamine in the nucleus accumbens, often prompting overconsumption(Reference Blundell and Macdiarmid27). Both systems interact to produce appropriate meal initiation, meal size regulation and meal termination. In obesity, both of these systems can be dysregulated, homeostatic satiety is delayed and hedonic responses to high-energy foods are heightened or blunted(Reference Ziauddeen, Farooqi and Fletcher28).
The mesolimbic dopaminergic system, comprised of the ventral tegmental area (VTA), nucleus accumbens and their innervations to the prefrontal cortex and amygdala mediates the reward and motivational properties of food(Reference Saper, Chou and Elmquist26). Dopamine release in the nucleus accumbens in response to palatable food induces the wanting aspect of appetitive eating behaviour, whilst opioidergic signalling mediates the subjective pleasure of eating(Reference Guillaumin, Viskaitis and Bracey29). Energy-dense foods generate dopamine responses disproportionate to their energy content, reinforcing food-seeking behaviour, observed particularly with high-fat and sugar foods(Reference Volkow, Wang and Baler30).
Another hypothesis postulates that striatal dopamine D2 receptor availability is reduced, a change also observed in substance use disorders and may drive compensatory overconsumption(Reference Ziauddeen, Farooqi and Fletcher28). The extent to which this reflects vulnerability in the primary reward system or as a consequence of chronic overconsumption remains contested(Reference Ziauddeen and Fletcher31). Individual variation in functioning of the reward system may explain why not all individuals with obesity display the same hedonic eating phenotype(Reference Ziauddeen, Alonso-Alonso and Hill32).
Appetitive and consummatory phases
The appetitive phase encompasses food-seeking, craving and the motivational drive to eat(Reference Alcantara, Tapia and Aponte16). The consummatory phase is the act of eating itself; meal size, eating rate, the satiation point and meal initiation and termination, all of which is regulated by satiety hormones, gastric vagal stretch and hypothalamic satiety signalling(Reference Andermann and Lowell19,Reference Morton, Meek and Schwartz20) . Dysregulation in obesity leads to heightened food-cue reactivity in the appetitive phase and impaired meal termination in the consummatory phase(Reference Benbaibeche, Saidi and Bounihi11).
In individuals with obesity, there are two characteristic defects: a homeostatic defect, in which greater food intake is required to achieve satiation, and a hedonic defect, characterised by a heightened reward system activation in response to energy-dense food(Reference Benbaibeche, Saidi and Bounihi11,Reference Donofry, Stillman and Erickson12) . This plays a key role in the eating behaviour phenotype of obesity and explains why volitional dietary restriction is often insufficient as a long-term treatment(Reference Conrad, Kowalski and Dustin33). Furthermore, the issue of energy expenditure also needs to be addressed in long-term treatment of obesity, as a positive energy balance is the determinant cause of obesity development; associated with a low basal metabolic rate (BMR) and non-exercise activity thermogenesis (NEAT)(Reference Ravussin, Lillioja and Knowler34). Suggestions have therefore been made regarding targeting resting metabolic rate (RMR) in future obesity therapies(Reference Löffler, Betz and Blondin35).
The dual dysregulation explains why effective obesity treatments cannot fully suppress appetite, it must also target the hedonic system’s altered feedback loop. The response of both homeostatic and hedonic systems to treatment types is the most clinically important question in the study of obesity pharmacotherapy and bariatric surgery.
Within this framework, it is now well established that weight loss achieved through obesity pharmacotherapy reflects biologically mediated changes in eating behaviour, rather than intentional cognitive processes(Reference Hernández, Villelabeitia and Levine36). These interventions produce direct biological changes in the neuroendocrine pathways that govern eating behaviour, however, which pathways that are altered by pharmacotherapy remain debated(Reference Story, Lumby and Fethney37). Effectively, the treatments work not because they are combined with changes in eating behaviour, but because they change eating behaviour. If eating behaviour does not change, this is because the treatment has not targeted the individual’s pathology.
This review uses the mature surgical evidence base as a mechanistic framework through which to interpret the currently emerging evidence for pharmacotherapy.
Surgical interventions
Bariatric surgery remains the most effective treatment for obesity(Reference Abbott, Adams and Agrawal38). In addition to energy intake reduction, the mechanisms underpinning weight loss and appetite following surgery are understood to cause significant alterations in gut hormone secretion, vagal signalling, gastric motility and hedonic pathway circuitry. Collectively these changes produce a sustained reduction in food intake(Reference Guerrero-Hreins, Foldi and Oldfield39).
Roux-en-Y gastric bypass: an introduction
Roux-en-Y gastric bypass (RYGB) has historically been characterised as a procedure that works through mechanical restriction and the imposition of behavioural change, as highlighted by the landmark randomised trial by Olbers et al(Reference Olbers, Björkman and Lindroos40). Following the evolution of the evidence in this field this is mechanistically inaccurate. Weight loss and the behavioural changes observed following RYGB substantially exceed those produced by gastric band procedures, which offers a comparable degree of gastric restriction without influencing gut hormone response(Reference Abbott, Adams and Agrawal38). In the randomised trial by Olbers et al.,(Reference Olbers, Björkman and Lindroos40) patients undergoing RYGB (n = 37) achieved significantly greater reductions in body fat compared to those who had vertical banded gastroplasty at one year post-operation (n = 46). The RYGB patients also achieved significantly greater loss of trunk fat (p < 0.001) and visceral fat (p = 0.016) at one year(Reference Olbers, Björkman and Lindroos40). This dissociation between the degree of mechanical restriction and the magnitude of the observed outcomes was one of the earliest indications that the dominant mechanism of action of RYGB is neurobiological and behavioural, rather than restrictive.
The overall effect is caused by a shift in the gut hormone profile, with RYGB, facilitating an accelerated delivery of undigested food to the distal aspect of the small intestine; this consequently causes L-cell stimulation causing a marked and sustained rise in circulating GLP-1 and PYY(Reference Guerrero-Hreins, Foldi and Oldfield39,Reference Miras and le Roux41,Reference le Roux, Aylwin and Batterham42) . Simultaneously, ghrelin is suppressed, due to the removal of the gastric fundus from the alimentary stream. Within the framework of this review, the resultant changes experienced following bariatric procedures can be examined across two domains: homeostatic eating behaviour and non-homeostatic eating behaviour.
RYGB: homeostatic eating behaviour
The evidence that RYGB alters homeostatic eating behaviour is consistent across both self-reported and directly measured studies(Reference Nymo, Lundanes and Rehfeld43,Reference Scholtz, Miras and Chhina44) . Patients reliably report reduced hunger and earlier, more pronounced postprandial fullness following RYGB at 18 months following procedure(Reference Cushing, Benoit and Peugh45). These self-report findings are supported by directly observed reductions in energy intake. In the residential study by Livingstone and Price, discussed in more detail in the subsequent section, directly measured energy intake was reduced by 50% at three months and remained approximately 25% lower than baseline intake at 24 months(Reference Livingstone, Redpath and Naseer46). The reduction in intake is mediated principally by a change in the consummatory phase of eating(Reference Morton, Meek and Schwartz20). Patients reach satiation sooner, consume smaller meals and have a slower eating rate compared to before surgery(Reference Cushing, Benoit and Peugh45). This reduction in meal size is one of the principal drivers of the reduction in energy intake after RYGB, and it is the component of eating behaviour on which surgical and pharmacological evidence most clearly converge(Reference Donofry, Stillman and Erickson12).
RYGB: non-homeostatic eating behaviour
The evidence base for non-homeostatic eating after RYGB is significantly more complex, with the evolution of evidence over the last two decades highlighting the importance of directly measured data. The earliest evidence regarding this type of behaviour post-RYGB came from verbal and written reports, suggesting that RYGB produced a shift in food preference away from high-fat and high-sugar foods. Olbers et al.(Reference Olbers, Björkman and Lindroos40) reported that 30% of RYGB patients reported actively avoiding fat, with the RYGB group reducing the proportion of dietary energy derived from fat significantly more than the banding gastroplasty patient group, at one year post-intervention. There was also a significant difference in the food groups consumed by each treatment group: the RYGB group had a significantly lower percentage energy intake in the desserts category compared to the banded gastroplasty group and consumed significantly more from the fruit and vegetable category(Reference Olbers, Björkman and Lindroos40). These observations were reinforced by direct measurement studies by Mathes and Spector(Reference Mathes and Spector47), who used laboratory food-selection assessments, reporting changes in food selection and taste responsiveness. Multiple studies have reported significant energy intake changes following RYGB, namely in fats and carbohydrates. Initially there is a decrease in percentage calories from fat in the first 12 months following RYGB, which ranges from −3.7 to −2%(Reference Coughlin, Bell and Bivins48–Reference Brolin, Robertson and Kenler50). This was further supported by a long-term follow-up study, displaying a −2% change in percentage calories from fat at 8 years post-operation(Reference Kruseman, Leimgruber and Zumbach51). The apparent shift in food preference was further supported by controlled animal studies, in which rodent models of RYGB demonstrated a reduced intake and preference for high-fat and high-sugar foods. Rodents on a high-fat diet pre-procedure consumed 1.6 ± 0.8 g/day versus 17.6 ± 0.5 g/day in the sham-procedure group at 15 days post-procedure(Reference Seyfried, Miras and Bueter52).
This emerging consensus, highlighting that patients following RYGB had a significantly altered food preference, was subsequently complicated by inconsistencies in the literature(Reference Miras, Jackson and Jackson53). A systematic review found the evidence for a genuine and durable shift in food preference to be mixed and noted that the studies reporting this shift relied predominantly on self-reported methodologies(Reference Redpath, Livingstone and Dunne54). Given the vulnerability of these studies to both reporter and researcher bias, the reported changes in preference is reflected by the limitations of the measurement tools as opposed to a true change in the type of food patients consumed.
Mechanistic studies provided more objective evidence that the reward value of food is reduced following RYGB. Using a progressive ratio task methodology, Miras et al.(Reference Miras, Jackson and Jackson53) studied patients two weeks before and eight weeks post-RYGB alongside normal-weight controls. The median breakpoint for a sweet was reduced by 50% after RYGB, whereas the breakpoint for vegetables was unchanged, indicating a selective reduction in the reward value of energy-dense food rather than a reduction in motivation. Importantly, the patients that had the largest reduction in breakpoint had the largest decrease in BMI(Reference Miras, Jackson and Jackson53).
Functional MRI (fMRI) provides insight into the neural correlates of non-homeostatic mechanisms of eating behaviour following RYGB. Scholtz et al.,(Reference Scholtz, Miras and Chhina44) compared BMI-matched patients following RYGB (n = 21) and gastric banding (n = 20) with BMI-matched controls (n = 20). Patients following RYGB showed significantly lower activation of the brain reward systems in response to high-calorie food images; this included the orbitofrontal cortex, amygdala, caudate, putamen and nucleus accumbens. This was accompanied by lower palatability and appeal-ratings for high-calorie foods in the RYGB group. Furthermore, the RYGB group had significantly higher postprandial anorexigenic gut hormones (GLP-1 and PYY), bile acids and dumping syndrome symptoms, indicating the altered gut hormone response as a mediator of the reduced food reward(Reference Scholtz, Miras and Chhina44).
The role of these gut hormones were then demonstrated directly using the somatostatin analogue octreotide to suppress postprandial gut hormones in patients more than five months post-RYGB. Ocreotide suppressed postprandial GLP-1, PYY and simultaneously increased appetitive food reward, increasing progressive ratio task breakpoint and reward system blood-oxygen level dependent (BOLD) signalling on fMRI. This provided direct evidence that the elevated postprandial gut hormone response is mechanistically responsible for the reduction in food reward following RYGB(Reference Goldstone, Miras and Scholtz55).
The decisive question is whether these measurable changes in food reward translate into observed changes in food choices. The directly measured evidence indicates that, for most patients, they do not. In the residential study by Livingstone and Price(Reference Livingstone, Redpath and Naseer46), explicit liking for sweet foods fell significantly at 3 months and implicit wanting for sweet foods fell at both 3 months and 12 months. These reductions however, were not matched by any reduction in the intake of sweet foods, and the macronutrient composition of the diet did not change(Reference Livingstone, Redpath and Naseer46). This dissociation between a measurable fall in food reward and an unchanged pattern of food intake is the central finding of this study, further casting doubt on the validity of the self-report by study participants. Furthermore, energy intake was underreported by 30% at 24 months, highlighting the unreliability of self-report in populations of people with normal weight and those living with obesity. This is further supported by Søndergaard Nielsen et al.,(Reference Søndergaard Nielsen, Rasmussen and Just Christensen56) demonstrating that RYGB patients showed no macronutrient distribution change despite significant changes in self-reported food preferences.
Based on recent evidence, these findings indicate that the earlier reports of a shift in food preference most likely reflected measurements taken too soon following surgery and based on self-report measures(Reference Mashkoori, Ibrahim and Shahsavan57). The reductions in food reward demonstrated by the progressive ratio task and fMRI are biologically valid and mechanistically attributable to the gut hormone response(Reference Scholtz, Miras and Chhina44,Reference Livingstone, Redpath and Naseer46) . Despite this, in most patients they do not translate into a change in dietary composition. At best, in a subset of patients, a genuine reduction in both sweet-food preference and energy intake may occur and may serve as an additional mechanism of weight loss(Reference Livingstone, Redpath and Naseer46).
Sleeve gastrectomy
Sleeve gastrectomy (SG) is currently the most commonly performed bariatric procedure worldwide, involving resection of up to 80% of the stomach along the greater curvature, removing the ghrelin-rich gastric fundus. The primary mechanism of appetite modification differs from RYGB: ghrelin suppression is the dominant early effect, whilst GLP-1 and PYY elevation is attenuated relative to RYGB(Reference McCarty, Jirapinyo and Thompson58). The evidence on eating behaviour after SG is less extensive than for RYGB.
With respect to homeostatic eating behaviour, the primary mechanism of appetite modification after SG differs significantly from RYGB. Suppression of ghrelin, resulting from resection of the fundus, is the dominant and most consistent early hormonal effect, whereas the rise in GLP-1 and PYY is present but less heightened relative to RYGB(Reference McCarty, Jirapinyo and Thompson58).
For non-homeostatic eating behaviour, changes in taste perception have been reported following SG(Reference Mashkoori, Ibrahim and Shahsavan57). A cross-sectional study found altered taste perception at twelve months post-operatively, with reduced consumption of high-fat, high-sugar and ultra-processed foods(Reference Mashkoori, Ibrahim and Shahsavan57). As with the earlier RYGB literature, these findings rest substantially on self-report, with directly measured data not yet available for SG. A progressive ratio task study assessed the appetitive domain up to six years following SG compared to controls using the same methodology applied to RYGB. Patients were prospectively assessed pre-operatively, 1 year and 6 years post-operatively. Results displayed a non-significant difference between the median breakpoint at the pre-operative and 6 year timepoints (320 versus 60, p = 0.07). Additionally, there were no significant differences between visual analogue scale scores for hunger, fullness, creaminess or sweetness at 6 years follow-up (p > 0.05)(Reference Althukair, Abdeen and le Roux59). The extent to which any change in food preference after SG translates into altered food intake therefore remains uncertain at present.
Gastric banding
Adjustable gastric banding works through neuronal signalling. A silicone band is laparoscopically placed around the proximal aspect of the stomach, with weight loss and eating behaviour changes determined by vagal stretch receptor activation(Reference Burton and Brown60). Unlike RYGB and SG, gastric banding was thought to not alter the gut hormone response, as it produces neither the rise in GLP-1 and PYY nor the suppression of ghrelin(Reference Ionut, Burch and Youdim61). Dixon et al.(Reference Dixon, Dixon and O’Brien62) investigated this with blind cross-over breakfast tests between 17 weight-stable gastric banding patients compared to 17 weight-stable controls, under two conditions; optimal band restriction and reduced restriction. The gastric bypass patients displayed significant differences in satiety visual analogue scale results compared to the controls.
Despite this, gastric banding does not produce the reduction in food reward or the changes in hedonic behaviour seen after RYGB. In the fMRI study conducted by Scholtz et al.,(Reference Scholtz, Miras and Chhina44) banding patients retained significantly higher reward-system activation to high-calorie food compared to RYGB patients, despite comparable weight loss and hunger. Ultimately, in the absence of significant gut hormone changes and minimal impact on the hedonic pathways, gastric banding does not reproduce the eating behaviour changes that follow RYGB and SG. Longer-term outcomes are correspondingly inferior, with higher rates of suboptimal response or recurrent weight gain(Reference O’Brien, Hindle and Brennan63).
Obesity management medications
Prescribing rates of obesity medications have drastically increased in the last decade, primarily driven by the development of incretin therapies with significantly superior efficacy profiles compared to previous agents(Reference Li, Varghese and Shah64). Currently approved therapies in most countries are GLP-1 based agonists, orlistat and naltrexone/bupropion.
This review focuses on the neurobiological evidence base of eating behaviour modification with obesity pharmacotherapy. While the mechanistic effects of bariatric surgery are well characterised through objective behavioural and experimental studies, corresponding evidence for pharmacotherapy remains comparatively limited. As the evidence base for bariatric surgery is substantially more mature than for pharmacotherapy, we therefore use insights from these interventions as a mechanistic framework to interpret the emerging evidence on obesity medications, with a particular focus on how these interventions differentially influence appetitive and consummatory aspects of eating behaviour over time.
The distinction between appetitive and consummatory behaviour is particularly important when it comes to self-report questionnaires. These primarily capture appetitive behaviour, whilst measurement of consummatory behaviour is primarily through direct measures, 24-hour intake or food frequency questionnaires (FFQ), however, still rely upon an element of self-reporting. Therefore, conclusions from these measurement modalities cannot be assumed to directly apply to the other. This is a significant limitation in interpreting the existing evidence for both surgical and pharmacological treatments; as both appetitive and consummatory measurement modalities are subject to bias.
Self-report evidence
GLP-1 based agonists activate receptors in the hypothalamus and brainstem as well as modulate mesolimbic hedonic circuitry, with the aim to reduce cravings particularly for high-fat and sugar foods(Reference Astrup65). Self-report data consistently demonstrate reductions in appetitive behaviour. Nicolau et al.(Reference Nicolau, Pujol and Tofé66) demonstrated that three months of semaglutide 1 mg produced significant reductions in emotional eating, binge eating episodes and sweet food cravings through validated questionnaires. This is further supported by the STEP 5 trial, providing the longest duration self-report data available in the current literature. At two years, semaglutide 2.4 mg produced initial reductions in appetite and cravings, measured with subjective appetite ratings(Reference Wharton, Batterham and Bhatta67). The STEP 5 data also demonstrated that early reductions in cravings predicted greater weight loss at two years. This was further seen to produce the same results at years of treatment in patients with obesity patients with Control of Eating Questionnaire results displaying significantly reduced cravings for both sweet and savoury foods.
Liraglutide 3.0 mg similarly produced significant reductions in hunger and increased fullness in the SCALE trial(Reference Pi-Sunyer, Astrup and Fujioka68). Furthermore, a systematic review of GLP-1 receptor agonists in binge eating disorder concluded that satiety signalling and food reward pathway interference significantly reduced binge eating frequency(Reference Aoun, Almardini and Saliba69). Despite the overall loss of weight, there was an absence of the compensatory hunger increase normally seen with weight loss. This suggests a recalibration of the internal reference points for hunger; with GLP-1 based agonists ‘turning down’ the hedonic drive involved in the appetitive phase of eating rather than a pharmacological override of an excessive signal.
Richards et al.(Reference Richards, Bang and Ratliff70) found that semaglutide significantly reduced binge eating disorder severity scores within three months; with a 14-point reduction on the Binge Eating Scale.
Tirzepatide is a dual GIP/GLP-1 receptor agonist, with the most significant weight reduction results as demonstrated in the SURMOUNT-1 trial(Reference Jastreboff, Aronne and Ahmad71). This trial revealed a mean weight loss of 22.5% versus 2.4% with placebo over 72 weeks. Notably, tirzepatide did not alter volitional cognitive restraint – with significant reduction in food cravings and preference for high-fat foods after 18 weeks. This reflects that tirzepatide recalibrates biological satiation signals rather than enhanced cognitive control(Reference Kennedy, Knights and Ravussin72).
Directly measured evidence
The most important question is whether these self-reported appetitive changes translate into measurable changes in consummatory behaviour.
Homeostatic eating behaviour
To date Blundell et al.(Reference Blundell, Finlayson and Axelsen73) has provided the most rigorous early data for GLP-1 receptor agonists, demonstrating that semaglutide 1 mg significantly reduced ad libitum energy intake by 24% at 12 weeks, after a standardised breakfast across subsequent daytime meals compared to placebo, measured in a controlled buffet setting. The most significant change occurred at lunchtime with a reduced energy intake of −1255kJ during an ad libitum lunch meal, compared to placebo. Critically, the measured effects were independent of nausea-mediated energy reduction, establishing semaglutide as an appetite suppressant as opposed to an emetic. This is further supported by van Can et al.(Reference Van Can, Sloth and Jensen74), demonstrating increased mean postprandial satiety and reduced ad libitum energy intake by 16% compared to placebo.
Martin et al.,(Reference Martin, Carmichael and Carnell75) also demonstrated that tirzepatide reduced energy intake by a mean of 2194.9kJ versus placebo at three weeks post-treatment during an ad libitum lunch meal test; with results also showing significant reductions in overall appetite, food craving, perceived hunger and reactivity to food cues.
At least in the short term, total energy intake is reduced by 24–47% in patients using GLP-1 receptor agonists, with even greater energy intake reductions of 59–72% observed in GIP/GLP-1 receptor agonists(Reference Blundell, Finlayson and Axelsen73,Reference Martin, Carmichael and Carnell75–Reference Friedrichsen, Breitschaft and Tadayon77) .
Non-homeostatic eating behaviour
Blundell et al.(Reference Blundell, Finlayson and Axelsen73) examined food preference directly using the Leeds Food Preference Task, presenting participants with images of food with varying fat content and sweetness to measure both linking and implicit wanting. Semaglutide 1 mg produced significantly lower explicit liking for high-fat, non-sweet foods compared with placebo (p = 0.0016), with no significant difference in liking for other food categories. Implicit wanting followed the same pattern, being significantly lower for high-fat, non-sweet foods (p = 0.0203). Energy intake from high-fat, non-sweet foods was approximately 35% lower with semaglutide than placebo (p = 0.0184) by assessment using covert evening snack boxes. These findings indicate that the shift in food preference is directed away from fatty, energy-dense foods, rather than away from sweet foods.
The observed changes in food preferences may be underpinned by emerging evidence that GLP-1 receptor agonists change the reward value of food. This has primarily been shown through the use of fMRI studies. Van Ruiten et al.(Reference van Ruiten, Veltman and Schrantee78) demonstrated that exenatide reduced brain responses to anticipation and consumption of energy-dense foods compared to placebo in patients with type 2 diabetes. Martin et al.(Reference Martin, Carmichael and Carnell75) investigated the hedonic drive following treatment with both liraglutide and tirzepatide; conducting a randomised 6-week Phase 1 trial using fMRI alongside eating behaviour instruments. The neuroimaging findings displayed reduced BOLD activation in the medial frontal and cingulate gyri, orbitofrontal cortex and hippocampus in response to high-fat and high-sugar food pictures. These regions are strongly associated with hedonic food valuation – paralleling MRI findings from RYGB studies(Reference Scholtz, Miras and Chhina44).
At the time of writing there is currently no prospective, covertly measured, multi-timepoint assessment of food intake and food choices in GLP-1 receptor agonist users, largely due to the novelty of this drug class. This is a significant gap in the evidence base that would allow direct comparison of self-reported preference changes with measurable dietary behaviour.
Conclusions
The cumulative evidence, especially the profile of eating behaviour change with GLP-1 receptor agonists and GIP/GLP-1 receptor agonists, parallels that observed following RYGB in a number of respects. Self-reported data indicates reduced hunger, attenuated food cravings, reduced binge and reward-driven eating. Neuroimaging suggests reduced activation of reward-related brain regions in response to high-calorie food cues, at least in the short-term. Studies that have objectively measured eating behaviour during the dynamic phase of weight loss have demonstrated reductions in energy intake and shifts towards less energy-dense foods. From the bariatric surgery studies mentioned in this review, there are major changes in eating behaviour during this phase, but they do not persist during the weight loss maintenance phase for the majority of treated patients.
The reason why it is critical that we conduct directly observed behaviour studies in people treated with medications, is because it makes a big difference in the way clinicians counsel patients. If long-term favourable changes in appetite and eating behaviour is promised, patients will be disappointed or alarmed if they do not take place. If obesity pharmacotherapy only changes total energy intake, then focus should be shifted to that of better food quality, better food choices and better control on the psychological aspects of eating like emotional/stress eating and cravings. Considering that millions of people will be using these medications around the world, properly conducted mechanistic studies are not just of academic interest, but will translate to better patient care.
Acknowledgements
The authors thank the organisers of The Nutrition Society’s 2026 Scottish Conference for the invitation to write this review.
Author contributions
CEM wrote the manuscript, RKP and ADM edited the manuscript, ADM approved the final version.
Financial support
No financial contributions were made towards the formulation of this manuscript.
Competing interests
ADM reports receiving research funding from Anabio, Boehringer Ingelheim, Eli Lilly, the European Union, Fractyl, Gila, HSC R&D division, Medical Research Council (MRC), Jon Moulton Charitable Foundation, National Institute for Health and Care Research (NIHR), Novo Nordisk and Randox. ADM has received honoraria for lectures and presentations from Algorithm, AstraZeneca, Boehringer Ingelheim, Currax Pharmaceuticals, Eli Lilly, Ethicon, GI Dynamics, Medtronic, Novo Nordisk, Screen Health and Zuellig Pharma. ADM is a shareholder in the Beyond BMI clinic and Kiso.