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. 2026 May 5;27(11):e70148. doi: 10.1111/obr.70148

GLP‐1 Receptor Agonists and Weight Loss: A Critical Review of Mechanisms

Giorgia Rutigliani 1, Tzu‐Wen L Cross 1, Erica de Jong 2, Emily S Glover 1, Ivan D Mendoza 3, Mojisola Adisa 1, Keigo Tomoo 1, Xinyi Zhou 1, Richard D Mattes 1,✉
PMCID: PMC13655938  PMID: 42083883

ABSTRACT

GLP‐1 receptor agonist medications have the potential to promote marked weight loss, but maximal and sustained benefit may be compromised by poor compliance and cessation of use. Development of next‐generation medications that address current obstacles to effective use and development of effective adjunct treatments will benefit from better characterization of their mechanisms of action. This narrative review critically assesses eight purported mechanisms including modulation of appetite, chemosensory function, cravings/aversions, food noise, gastric emptying, the microbiome, incretin activity, and energy expenditure. Current evidence does not support a single dominant mechanism; a combination of subtle effects may underlie the efficacy of these medications. However, as experience with these medications and methods to assess their effects grows, it should be possible to better determine the relative importance of these and possibly other mechanisms.

Keywords: appetite, food cravings, food noise, gastric emptying, microbiome, sensory function

1. Introduction

The marked increased trajectory of overweight/obesity prevalence in the US in the late 1970s [1, 2, 3, 4] prompted efforts to mitigate the problem, and it remains a high priority for research, clinical, public health, and regulatory communities [5, 6]. A focus on the gut and endocrine control mechanisms arguably stems from the seminal observation by Gibbs et al. that cholecystokinin (CCK) exerts anorectic effects in rats independent of malaise [7]. Considerable subsequent work revealed a wide array of gut hormones with pleiotropic effects, including an often weak and inconsistent [8, 9] impact on appetite and food intake. However, subsequent work with supraphysiological concentrations of selected gut peptides and administration of agonists for their receptors, most notably glucagon‐like peptide‐1 receptor agonists (GLP‐1RA), revealed that they were effective for weight management [10, 11, 12, 13].

The marked improvement in nonsurgical treatment efficacy has resulted in expanding use of these medications [14, 15]. A nationwide analysis identified roughly more than a million new GLP‐1RA users between 2011 and 2023 in the United States. From 2018 to 2023, annual spending on these medications increased from $13.7 billion to $71.7 billion [16]. In 2023, 89% of spending was for medications approved for the management of type 2 diabetes, and 11% for obesity [17]. However, there is a trend for greater use to manage overweight/obesity [18]. As of May 2024, approximately 12% of the population has used a GLP‐1RA medication, and about 40% of individuals report doing so to lose weight [19].

Despite the unprecedented level of success in nonsurgical moderation of body weight, estimates of discontinuation of medication use are high, varying between 20% [20] and > 50% [21]. Moreover, among patients who continued GLP‐1 RA therapy, only 48.6% achieved adequate adherence (medication possession ratio > 0.80) at 1 year, indicating that most had gaps in medication coverage exceeding 20% of days [20]. Both of these problems are greater in populations using these medications in nonclinical trial settings [22], which is concerning since treatment discontinuation often results in weight regain [23]. These poor adherence statistics underscore the importance of better characterizing and addressing undesirable treatment side effects to enhance compliance and identifying the most important mechanisms of action to guide future drug development [24]. Moreover, high treatment attrition has prompted thinking about ways to mitigate weight regain following for‐cause or planned withdrawal through behavioral and pharmacological approaches [25, 26]. These recommendations also require improved knowledge of the mechanisms by which these medications work as they seek to complement or replace their modes of action. Additionally, these medications have been reported to improve psychotic disorders, seizures, neurocognitive conditions (including Alzheimer's disease and dementia), coagulation and cardiometabolic disorders, infectious illnesses, and several respiratory illnesses or worsen other health conditions including gastrointestinal disorders, hypotension, syncope, arthritic complications, nephrolithiasis, interstitial nephritis and drug‐induced pancreatitis [24]. Realizing these benefits and/or reducing risks will also necessitate expanded understanding of the mode of action of GLP‐1RA medications.

Multiple mechanisms of action related to GLP‐1RA have been identified [27, 28]. Here, we critically assess the role and magnitude of eight commonly cited mechanisms. These include effects on appetite, chemosensory function, food cravings/aversions, food noise, gastric emptying (GE), the gut microbiome, incretin activity, and energy expenditure.

2. The Effect of GLP‐1 RAs on Appetite Regulation

Though the appetitive effects of endogenous GLP‐1 are limited under physiological conditions [29, 30, 31] and may not play a dominant role in modulating energy intake [9], supraphysiological concentrations of GLP‐1 have been shown to reduce hunger and augment fullness [32]. It is widely held that GLP‐1RAs promote weight loss through modulation of appetitive sensations. However, changes in subjective appetite ratings can be statistically significant but still small in absolute terms. Given the larger evidence base for this mechanism than most others, it is possible to present medication‐specific findings.

2.1. Liraglutide

Liraglutide is a once‐daily, fatty‐acid–conjugated human GLP‐1 receptor agonist (half‐life ~13 h) indicated for type 2 diabetes and chronic weight management. A 52‐week randomized controlled trial (RCT) in adults with obesity compared participants receiving liraglutide (3 mg/day) paired with intensive behavioral therapy (IBT) to those receiving IBT alone [33]. Hunger was reduced and fullness increased at weeks 6 and 24 for the individuals receiving liraglutide plus IBT compared to those receiving IBT alone, but these effects were not sustained from week 24 to the end of the intervention. A crossover trial investigating once‐daily subcutaneous liraglutide (1.8 or 3 mg) in individuals with obesity but without diabetes reported that during the 300‐min postprandial period, both 1.8 and 3.0 mg doses of liraglutide elicited a modest, equivalent rise in the overall appetite score, a composite of satiety, fullness, inverse hunger, and inverse prospective food consumption, indicating enhanced satiety with no dose‐dependent effect [34]. At no single time point did the appetite responses of the active and placebo‐treated participants differ significantly. Another study compared liraglutide with lixisenatide, a short‐acting GLP‐1RA, in adults with type 2 diabetes and found that both treatments produced comparable reductions in total and macronutrient intake and similarly suppressed subjective appetite ratings over 10 weeks [35].

In a year‐long, per‐protocol analysis, liraglutide 3 mg/day preserved postprandial appetite suppression (0% change vs. −14% with placebo; p = 0.023), but produced no significant changes in emotional‐ or uncontrolled‐eating scores compared with placebo. Because all outcomes were assessed only in participants who completed the protocol, these results may overstate the drug's true effectiveness relative to an intention‐to‐treat analysis [36]. Overall, these findings suggest that liraglutide produces only a modest, nondose‐dependent appetite effect that appears to be transient.

2.2. Semaglutide

Semaglutide is a once‐weekly, acylated human GLP‐1 receptor agonist (half‐life ~165 h) indicated for type 2 diabetes and chronic weight management. Semaglutide has been associated with a dose‐dependent reduction in self‐reported hunger and increased satiety, though the absolute differences in appetite ratings are often small. In one 12‐week study [37], subcutaneous injection of semaglutide was titrated in 4‐week increments, from 0.25 mg (weeks 1–4) to 0.5 mg (weeks 5–8) and finally to 1.0 mg (weeks 9–12), resulting in a significantly greater appetite suppression compared to placebo at 5 weeks (p = 0.0023). As with the previously cited Liraglutide study [34], this was observed as an overall effect though at no measured time point did the appetite ratings of the active and placebo treated participants differ significantly.

In a 20‐week randomized trial, weekly injections of 2.4 mg semaglutide in individuals with obesity improved postprandial appetite ratings (reduced hunger and prospective consumption; increased fullness and satiety; all p < 0.02) [38]. Oral administration of semaglutide, with doses ranging from 3 to 14 mg, in a cross‐over trial with individuals with type 2 diabetes mellitus (T2D), revealed that the drug led to improved satiety, hunger, and overall appetite score after a fat‐rich breakfast, but had no effect after a standard meal (breakfast) [39, 40].

Taken together, semaglutide produces consistent but often small absolute shifts in subjective appetite ratings in controlled settings that may be dependent on meal composition.

2.3. Dulaglutide

Dulaglutide is a once‐weekly, Fc‐fusion human GLP‐1 receptor agonist (half‐life ~90 h) approved for type 2 diabetes management. The effect of dulaglutide on appetite suppression is weaker compared to other GLP‐1 RAs. A 6‐month study in individuals with T2D receiving weekly subcutaneous injections of 1.5 mg dulaglutide revealed a 55% reduction in appetite vs. 12% in the control group at day 30, along with significantly improved fullness and satiety in the first week. However, appetite gradually returned to baseline levels after 3 months and remained unchanged for the duration of the study, suggesting an adaptive response over time [39].

2.4. Tirzepatide

Tirzepatide is a once‐weekly, dual GIP/GLP‐1 receptor agonist peptide (half‐life ~120 h/5 days) approved for type 2 diabetes and chronic weight management. Multiple trials have documented that tirzepatide suppresses appetite and, in some cases, to a greater extent than mono‐agonists (e.g., liraglutide) (p < 0.05) [40]. Other work suggests comparable effects to semaglutide. In one 28‐week trial, both tirzepatide (15 mg/week) and semaglutide (1 mg/week), administered in separate treatment arms, each reduced appetite compared to placebo (p < 0.001) in individuals with T2D, but there was no statistically significant difference in appetite suppression or in energy‐intake reduction between the tirzepatide and semaglutide groups [41]. Appetite suppression with both GLP‐1RAs was evident by week 4 and increased over time, remaining significantly lower than placebo through week 28. Additionally, separate researchers [42] observed a significant reduction in hunger perception with 10 and 15 mg tirzepatide, as well as a significant increase in postprandial fullness across all doses of tirzepatide (5, 10, 15 mg) and dulaglutide (0.75 mg), in a 52‐week trial involving 48 Japanese patients with T2D. Fullness did not differ across tirzepatide doses, and the greater effects observed at higher doses were primarily due to lower ratings in the control groups. Thus, tirzepatide enhances satiation modestly perhaps to a greater extent than liraglutide and comparably to semaglutide, but not in a dose‐dependent manner within the therapeutic range [43, 44, 45].

2.5. Effects on Different Populations

2.5.1. Individuals With and Without Diabetes

GLP‐1RA effects on appetite vary based on metabolic status. Many studies [35, 39, 41, 42, 46] report a significant decrease in hunger and an increase in fullness in individuals with T2D or type 1 diabetes mellitus (T1DM) following liraglutide (1.8 mg/day) [47]. In contrast, one study noted semaglutide did not significantly affect hunger in a population without diabetes [37], while another study in a sample without diabetes observed a significant but modest increase in overall appetite score, satiety, and fullness, along with a reduction in hunger [34]. These findings are inconsistent but suggest a stronger effect on patients with diabetes.

2.5.2. Individuals With and Without Obesity

Most studies investigating GLP‐1RAs and appetite have been conducted in individuals with obesity, limiting the ability to draw comparisons with leaner populations. As such, it remains unclear whether baseline adiposity modifies responsiveness to GLP‐1RAs. Interestingly, evidence from a study using a supraphysiological GLP‐1 infusion in 20 healthy, normal‐weight men showed significant effects on satiety, hunger, and fullness [32] demonstrating that lean individuals can respond robustly to GLP‐1 under certain conditions. Given increasing use of GLP‐1RAs by individuals with lower levels of adiposity [32, 48], further research is needed to determine whether the degree of adiposity alters the efficacy of GLP‐1RAs on appetite suppression.

In summary, GLP‐1RAs reduce subjective measures of appetite by roughly 0%–20% and lower ad libitum energy intake by up to ~35% [38, 41, 49]. However, appetite differences are often small in absolute terms at any single postprandial timepoint and a clear dose–response relationship is lacking [34, 49]. The error terms of measured appetitive sensations are generally small [34, 37] suggesting a lack of high and low responder subgroups. Diet composition may also influence appetite. For instance, semaglutide has shown greater effects on appetitive sensations following a fat‐rich meal compared to a standard test meal [46]. Such variability may partially explain the heterogeneity noted across studies. Finally, while some studies report initial appetite suppression, these effects may not persist with long‐term use. Diminishing changes in appetite scores over time, particularly with liraglutide and dulaglutide, suggest an adaptive response that limits sustained benefit [33, 36, 39]. Typically, drug effects peak within the first few days after dosing (e.g., semaglutide and dulaglutide peak concentrations occur ~1–3 days and ~24–72 h postdose, respectively), which makes within‐week variation in appetite plausible [44, 45]. Because trials assess appetite on a limited number and pattern of test days, the magnitude and time course of within‐week fluctuations in subjective appetite have yet to be quantified. The effects of these medications on satiation (within‐meal sensations) are also not known but may yield useful mechanistic information. Collectively, despite clinical reports of large shifts in appetite, measurements under controlled conditions suggest the need for caution in assuming that GLP‐1RAs produce clinically meaningful or lasting effects on appetite regulation.

3. Effects of GLP‐1RA on Chemosensory Function

Recent evidence suggests that signaling mechanisms between the oronasal region and peripheral tissues form an integrated system that optimizes the coordination of ingestive behavior, digestion, nutrient absorption, and metabolic regulation [50]. There is a strong theoretical basis for expecting GLP‐1RAs to alter gustatory and olfactory function and for these sensory systems to modulate metabolic processes. Reports of altered chemosensory function are not common among those using GLP‐1RAs, but unconscious, gradual shifts may hold implications for treatment compliance and efficacy.

Expanding beyond the oral cavity, nutrient‐sensing mechanisms in the gut utilize G‐protein‐coupled receptors (GPCRs) homologous to those found on the tongue. These receptors detect “taste” compounds that initiate intracellular signaling cascades that regulate nutrient transporter expression, facilitate nutrient absorption, and stimulate the secretion of enteroendocrine hormones, including GLP‐1, GIP, CCK, peptide YY (PYY), ghrelin, and secretin. These processes are important for maintaining energy balance and glucose homeostasis [51, 52].

3.1. Insulin Signaling and Taste Perception: Metabolic and Neural Links

GLP‐1‐induced insulin secretion may indirectly affect taste. In rodents, insulin regulates taste bud maintenance, with metabolic dysregulation diminishing receptor sensitivity [53]. In humans, direct evidence of insulin's role in taste bud maintenance is limited. However, some studies have reported that insulin is transcribed and translated in mammalian taste bud cells, indicating a potential local role in taste function [53, 54]. Additionally, impaired taste is well documented in individuals with diabetes. This may be due to altered insulin signaling or neuropathy [55]. Early work suggested a glucose‐specific impairment of taste in individuals with a family history of diabetes, supporting a hormonal or metabolic influence on taste, independent of neuropathy [56].

3.2. GLP‐1 and Taste Modulation: Insights From Rodent Models

Recent biophysical evidence from rodent studies suggests that GLP‐1 plays a significant role in modulating taste perception. GLP‐1 is expressed in taste buds and modulates taste via paracrine signaling to adjacent nerve fibers, a process regulated by dipeptidyl peptidase‐4 (DPP‐4). Increased DPP‐4 expression in diabetic models links metabolic dysregulation to altered taste perception, particularly reduced sweet sensitivity, potentially influencing food preferences [50, 57].

GLP‐1 receptor knockout mice exhibit reduced sensitivity to sweet compounds [51, 52, 58] and umami stimuli [58]. There is also evidence of a modest decrease in citric acid sensitivity in mice, indicating a potential role for GLP‐1 in sour taste function [52]. GLP‐1 receptor knockout mice also exhibit higher detection thresholds for dietary lipids, suggesting a reduction in oral fat sensitivity [51]. This effect may be mediated by lipid‐sensing receptors such as CD36 and GPR120, which contribute to fatty acid detection through distinct, concentration‐dependent signaling pathways and play key roles in oral fat perception and fat‐based food attraction [59, 60]. In contrast, no significant differences have been observed for bitter or salty taste sensitivity in the absence of GLP‐1 signaling [51] indicating quality‐specific effects. However, sodium intake has been shown to increase postprandial GLP‐1 secretion, likely through SGLT1‐mediated uptake [61]. Interestingly, although GLP‐1 receptor activation suppresses saline intake in rodents, there is no direct evidence that it alters salt taste perception [62].

3.3. GLP‐1RA and Taste Modulation in Humans

There are inconsistent data from human studies suggesting GLP‐1RAs alter taste. Some data indicate that liraglutide enhances sweet taste sensitivity (i.e., decreased detection thresholds). In contrast, a recent study evaluated taste quality recognition in GLP‐1RA users in a two‐phase design: in open‐label Phase 1, participants exhibited reduced identification of sweet, salty, sour, bitter, and umami tastes (fat was not assessed), and in blinded Phase 2, when subjects were unaware the study was evaluating taste changes, objective deficits persisted despite no self‐reported alteration in taste function [63]. Separately, diminished hedonic responses (i.e., subjective pleasure and liking) to sweet and high‐fat foods have been observed in adults with obesity treated with semaglutide [37] as well as in individuals with type 2 diabetes treated with liraglutide [64]. Variability in outcomes may stem from several factors. One key consideration is the type of GLP‐1RA used. Semaglutide has a substantially longer half‐life and enhanced ability to engage central appetite‐regulating pathways compared to liraglutide. It may elicit a more prolonged or potent modulation of taste‐related brain circuits [65]. Second, treatment duration and dosage may influence whether peripheral [66] or central [67] mechanisms dominate. Shorter treatments may primarily affect gut‐brain signaling, whereas longer treatments might alter central hedonic processing. Third, individuals with T2D often show altered taste sensitivity at baseline either masking or exaggerating treatment effects. Finally, variability in methodological approaches, including the specific taste dimension assessed, such as detection thresholds versus hedonic responses, further hampers interpretation and comparison across studies.

3.4. Olfaction

Olfaction plays a crucial role in food appeal and ingestive behavior through central and peripheral (gut olfactory receptors) pathways that regulate appetite and metabolism [68, 69].

3.4.1. GLP‐1 and Insulin Signaling in the Olfactory Bulb

Although hormonal signaling molecules are not classical ligands for olfactory receptors, emerging evidence suggests that hormones such as insulin, GLP‐1, and ghrelin can modulate olfactory pathways, potentially influencing receptor expression and/or function [70, 71, 72]. The olfactory bulb experiences the highest concentration of insulin and contains the highest concentration of insulin receptors in the brain, suggesting it may play a significant role in insulin‐mediated neural function [73, 74]. Insulin influences olfactory responsiveness in distinct ways depending on its site of release and action. In humans, peripheral short‐term hyperinsulinemia reduces olfactory sensitivity in healthy individuals, potentially serving as a satiety signal that suppresses food‐seeking behavior [66]. In contrast, intranasal administration of insulin, which bypasses the periphery and directly targets the brain, enhances odor perception [67].

Given that GLP‐1RAs augment central insulin concentrations, they may contribute to improved olfactory function [75]. The olfactory bulb also expresses GLP‐1 receptors, as demonstrated in rodent studies [70, 76]. In this region, GLP‐1‐producing neurons enhance the excitability of mitral cells, key relay neurons in the olfactory circuit, by modulating voltage‐dependent potassium channels [77, 78]. Increased excitability of mitral cells likely amplifies the transmission of olfactory signals to higher brain regions involved in odor perception and feeding behavior, providing a pathway by which metabolic signaling molecules like GLP‐1 can influence sensory‐driven ingestive responses [77]. Behaviorally, GLP‐1 signaling in the olfactory bulb modulates olfactory‐driven foraging: blocking GLP‐1 receptors suppresses food‐seeking in lean mice, while activating them restores this behavior in obese mice [70]. Thus, while GLP‐1RAs elevate peripheral insulin, which may reduce olfactory sensitivity, their potential to enhance central insulin signaling and directly activate GLP‐1 receptors in the olfactory bulb suggests a nuanced, site‐dependent influence on olfactory‐driven ingestive behavior. More studies are needed to investigate whether GLP‐1RAs influence olfactory perception in humans and, if so, to delineate the relative contributions of peripheral insulin, central insulin signaling, and direct GLP‐1 receptor activation in olfactory brain regions.

3.4.2. Peripheral Effects of Endogenous GLP‐1 on Olfaction

Olfactory receptors are part of the GPCR superfamily and have been identified in peripheral tissues, including adipose tissue, gut, pancreas, muscle, and brain [79, 80]. In these sites, they detect various metabolic signals, including short‐chain fatty acids (SCFA), ketone bodies, amino acid metabolites, and lipid‐derived molecules such as medium‐chain fatty acids. Through such signals, they modulate key metabolic processes, including insulin and glucagon secretion, fatty acid oxidation, lipogenesis, and thermogenesis [80, 81]. Similar to oral‐gastrointestinal signaling, olfactory receptors in the gut, such as OR51E1, play a role in GLP‐1 secretion, linking olfactory stimuli to peripheral metabolism [82]. These receptors are locally activated on enteroendocrine L cells by odorant ligands present in the gut lumen. Oral administration of specific odorants, such as nonanoic acid, enhances GLP‐1 secretion and lowers blood glucose concentrations in rats [83]. In vitro studies demonstrate that certain volatile compounds, such as diacetyl, can suppress GLP‐1 production and secretion in enteroendocrine cells [84]. This suggests that odorant‐mediated modulation of GLP‐1 occurs through local gut receptor activation.

3.4.3. Effects of GLP‐1RAs on Olfaction

Impaired olfactory function is common in individuals with prediabetes and diabetes, and treatment with liraglutide enhances olfactory‐related brain activity and improves odor sensitivity [75, 85]. However, other studies report minimal or no effects of GLP‐1RAs on olfactory performance [63]. These discrepancies may be partly influenced by differences in study populations (e.g., with diabetes vs. without), types of GLP‐1RAs used, treatment duration, or variability in olfactory testing methods. Further research is needed to clarify the conditions under which GLP‐1 signaling influences olfactory function. Evidence suggests that GLP‐1 and insulin may influence olfactory and taste function via local and systemic mechanisms and that GLP‐1 may be released via activation of olfactory and taste receptors in the gut, yet the extent to which these processes drive changes in food preferences and food/energy intake remains poorly characterized. Although some studies indicate that GLP‐1RAs enhance sweet and fat taste sensitivity and improve olfactory function, others report minimal or inconsistent effects, raising questions about individual variability, methodological discrepancies, and the broader implications of these findings. Additionally, much of the current evidence relies on rodent models that may not fully capture human metabolic and behavioral responses. Further, the limited number of human studies often suffer from small sample sizes of individuals with varying health status administered different medications. Given the profound influence of taste and smell on ingestive behavior, a more mechanistic understanding of GLP‐1RA's role in sensory modulation is critical. Future research must disentangle the direct effects of GLP‐1RAs from secondary metabolic adaptations and establish whether these sensory changes are causally linked to appetite suppression and weight loss.

4. Effects of GLP‐1RA on Cravings/Aversions

It has been posited that GLP‐1RAs modify ingestive behavior through their influence on food cravings and aversions [86, 87], which are defined as motivations to consume or avoid specific foods that are sufficiently intense that they interfere with daily activities [88, 89]. This definition distinguishes cravings or aversions from appetitive sensations such as hunger, fullness, and desire to eat or hedonic responses. Cravings and aversions are typically assessed through self‐report methods, including questionnaires and food records. No standard or objective measurement index currently exists [90]. These responses can be triggered by external cues (e.g., social context, food appearance, or memories of past experiences) as well as internal states (e.g., hunger, stress, or fatigue). While cravings are not considered a disease and may not be inherently harmful, they can contribute to unhealthy dietary patterns and/or undesired weight gain in certain individuals [88, 91]. Some evidence suggests that cravings may predict future weight gain and that managing cravings supports long‐term weight loss maintenance [92]. Conversely, extreme, broad‐based aversions may lead to weight loss and/or nutritional deficiencies depending on the types and quantity of foods affected [90].

4.1. GLP‐1RA and Food Cravings

Several brain regions have been associated with reward‐seeking behaviors, mostly in the cortical areas in the mesolimbic reward system [93]. GLP‐1 receptors are expressed in these regions and have direct connections to the nucleus tractus solitarius (NTS) [94], potentially contributing to the regulation of hedonic eating [95]. GLP‐1RAs have also been linked to the regulation of dopaminergic neurotransmission, a contributor to reward processing [96]. Moreover, stress can influence food intake through cortisol‐dopamine interactions that may be influenced by GLP‐1 [97]. Regarding food aversions, anatomical and behavioral analyses reveal that GLP‐1 actions in the area postrema (AP) drive nausea and aversive responses [98]. Notably, administration of GLP‐1 is sufficient to induce a conditioned flavor aversion in rodents [99].

Evidence on the effects of GLP‐1RAs on food cravings remains limited, with even fewer studies exploring their contribution to food aversions. Some GLP‐1RA medications, such as lixisenatide and tirzepatide, reportedly suppress cravings. In one study, lixisenatide administration was associated with an inverse relationship between brain reward activity and self‐reported cravings and hunger among individuals who reduced their energy intake [100]. Similarly, an 18‐week study investigating the effects of tirzepatide in individuals with obesity reported significant reductions in cravings for sweets, carbohydrates, and fast food, though no changes were observed for cravings related to high‐fat foods or fruits and vegetables [91]. The extent to which these observed changes qualify as reduced cravings is uncertain. Commonly used craving measures primarily quantify how strongly an individual wants a specific food (urge intensity), whereas “food noise” reflects how often and how intrusively food‐related thoughts occur (cognitive preoccupation), which may or may not culminate in craving or eating. Distinguishing between the two may clarify whether reduced intake is due to appetite drive, food reward valuation, and/or disengagement from habitual cue‐triggered eating.

Preclinical studies suggest that Semaglutide can access areas of the brain involved in appetite and cravings regulation, particularly within hedonic neural pathways [101]. One of the most notable sets of investigations in this area is the STEP trials (Semaglutide Treatment Effect in People Living with Obesity), a series of randomized controlled trials investigating the effects of Semaglutide (2.4 mg/week) on cravings over a long time period (104 weeks) in individuals with overweight or obesity and weight‐related comorbidities but without diabetes. Participants receiving semaglutide demonstrated improved ability to resist cravings and control eating, as evidenced by their scores in the Control of Eating Questionnaire (COEQ). Specifically, cravings for savory foods showed sustained improvement throughout the study, while reductions in cravings for sweet foods improved up to 1 year but did not remain statistically significant over the full 2‐year period compared to the placebo. A systematic review reporting the effects of GLP‐1RAs on reward‐related behaviors indicated similar findings, with participants having less hunger and food cravings, better control of eating habits, and lower desire to eat high‐fat foods after Semaglutide injection compared to controls [37]. Similar to the STEP trials, reductions in savory food cravings appeared more robust than those for sweet cravings.

4.2. GLP‐1RA and Food Aversions

GLP‐1RAs may also promote specific food aversions. These aversions are often highly specific (e.g., to greasy or sweet foods) and are distinct from a general lack of appetite. While they may contribute to short‐term decreases in consumption of particular items, they are unlikely to account for the substantial weight loss associated with GLP‐1RAs, as they do not typically generalize across the diet. Existing research suggests that aversions are more likely to influence food preferences than total energy intake [102]. More recent qualitative studies involving patients taking GLP‐1RAs have noted these experiences anecdotally, particularly regarding high‐fat foods [37]. However, systematic research measuring the prevalence and dietary impact of aversions remains limited. Further exploration into the neurobiological and experiential differences between suppression of cravings and augmentation of aversions could help clarify their distinct roles in shaping dietary behavior under GLP‐1RA treatment.

In summary, no published study examining the effects of GLP‐1RAs has explicitly differentiated between cravings, food aversions, and more subtle appetitive sensations or hedonic responses. Instead, claims have been based on self‐reported data, often without training, terminology, or clear definitions with the assessment tools used. Thus, the true incidence and consequences of cravings and aversions related to GLP‐1RA use have yet to be identified, and existing evidence does not support a major independent contribution of these phenomena to GLP‐1RA‐induced weight loss. Nevertheless, cravings are an important and frequently overlooked aspect of long‐term weight management and should be considered in the context of GLP‐1RA therapy. These medications may help to suppress cravings, with a resultant contribution to weight loss and/or weight loss maintenance, though at this time the magnitude and consistency of effects appear limited. Additionally, there are inconsistent findings regarding the sensory characteristics of altered cravings (i.e., savory vs. sweet) with different medications that require verification. Even less clinical evidence is available regarding the incidence of GLP‐1RAinduced food aversions on weight management.

5. Effects of GLP‐1RA on Cognition (Food Noise)

Food noise refers to persistent, intrusive thoughts about food, with excessive food rumination often reported by individuals with obesity or certain eating disorders [103, 104]. In today's environment, where food is easily accessible and affordable, individuals who constantly think about food have increased opportunities to obtain and consume a surplus of energy [105]. It has been hypothesized that this easy access to food is a contributing factor in the current obesity pandemic [106].

Food noise is an internal phenomenon that may be elicited or amplified by external food cues. It may reflect heightened food cue reactivity, defined as conditioned physiological‐psychological response to environmental food cues. With respect to eating behaviors, the processing of external food noise could drive external eating. External eating, a concept guided by the externality theory of obesity [107, 108], describes how certain individuals (e.g., those with obesity) may be more inclined to eat in the presence of sensory food cues (e.g., sight or smell of food) [109]. As an internal manifestation, food noise does not necessarily require an external cue, but instead relies primarily on “persistent, intrusive thoughts about food stemming from interoceptive signals that are disruptive to daily life and make healthy behaviors difficult” [110]. Sources of internal cues consist of appetitive sensations as well as momentary, personal factors such as experiences of stress, hormonal change, and emotion [111]. Processing of internal food noise could be related to dietary disinhibition, defined as the tendency to overeat in response to various emotional (e.g., negative affect or mood) and habitual (e.g., cyclical and failed efforts to diet) factors [112, 113].

GLP‐1RA drugs may modulate food noise, a claim that has so far been supported primarily by anecdotal clinical observations stating that these drugs “quiet” the noise around food [114]. Interestingly, similar anecdotal reports are also made for diminutions of substance abuse (e.g., alcohol and nicotine) and compulsive behaviors (e.g., shopping and gambling) [115]. A clear physiological mechanism for this process has not yet been identified, but GLP‐1RAs may elicit changes in neural circuits mediating reward and aversion [109, 116]. Specifically, it has been hypothesized that the use of GLP‐1RAs diminishes one's food thoughts and related food‐securing actions to levels beyond those achieved by intensive behavioral interventions.

Several studies, including observational cohorts [117, 118, 119, 120, 121, 122, 123, 124], clinical trials [33, 36, 37, 40, 46, 47, 50, 125, 126, 127], and studies using neuroimaging methodology [48, 100, 128], have examined the effects of GLP‐1RAs on food noise and related eating behaviors. While study designs and populations varied, most included individuals with overweight/obesity [33, 36, 37, 40, 46, 47, 48, 50, 100, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128], and many involved individuals with T2D. Some studies also included healthy participants [33, 36, 37, 40, 48, 117, 127] or those with conditions such as polycystic ovary syndrome [50] or T1DM [47]. Sample sizes and participant ages varied widely, but most research focused on adults aged 45 years and older. The majority of studies ranged from three to 6 months, with one observational cohort study following participants for 2 years [118]. Liraglutide and semaglutide were the most commonly studied GLP‐1RAs, though others, such as lixisenatide, dulaglutide, exenatide, and tirzepatide, were also examined. Comparators included placebo/saline injection [36, 37, 40, 46, 47, 48], behavioral therapy [33, 36, 127], other types of diabetes medications [121, 126, 128], and some trials had no comparator [50, 125]. Findings from these diverse methodological approaches are more similar than dissimilar and demonstrate that GLP‐1RAs produce the generalizable effects elaborated below. As the advancement of GLP‐1RAs continues with dual and tri‐agonists [129], it will be important to examine whether their use results in larger and sustained effects in reducing food noise. No study has measured food noise directly, given that validated tools for this construct have only recently emerged [110, 130]. Still, many studies assessed related eating behaviors, such as susceptibility to overeating in response to cues, using various questionnaires, such as the Three Factor Eating Questionnaire, the Dutch Eating Questionnaire, the Eating Inventory, the Control of eating Questionnaire, the 100 mm visual analog scale, and more. These collective questionnaires highlight both the conceptual relevance to food noise and the need for standardized, validated measures. Nevertheless, the measures featured in this analysis illustrate potential manifestations of food noise (e.g., maladaptive eating behaviors), that are proximal to weight management [131].

Most, but not all [120, 122], observational studies demonstrated significant reductions in external [119, 121, 123, 124] and uncontrolled eating [117] suggesting individuals may have experienced decreases in food noise over time. These findings are insightful, but limitations in study design prevent a clear attribution of changes of GLP‐1RA use to changes in external eating, which could be confounded by other factors, such as behavioral reactivity and lifestyle modification. Clinical trials are better suited to explore the modulating role of GLP‐1RAs on food noise. Two identified studies found significant decreases in external [125] and uncontrolled [1] eating; however, they did not include a comparator. More insightful are studies utilizing within‐subjects crossover designs or between‐subjects parallel/multi‐arm designs.

One of three crossover studies reported that daily injection of liraglutide led to a significant reduction in disinhibition compared to participants in the placebo group [47]. Other studies used the COEQ and reported a reduction in food thoughts and improved control of eating when using injected or orally administered semaglutide [37]. Notably, in one study [37], the VAS question “How often have you had thoughts of food” had the second highest mean decrease of all COEQ items, which probably aligns closest with the current conceptualization of food noise. Given the limited scope and number of studies, it is difficult to draw definitive conclusions on whether one drug outperforms another in reducing food noise.

Among parallel/multi‐arm studies, the GLP‐1RAs outperformed the standard control in decreasing dietary disinhibition [37, 40], binge eating [126], and food preoccupation [33]. However, one 12‐week study reported null effects for changes in uncontrolled eating with improvement in cognitive restraint [36], potentially due to the derivation of these findings from a secondary, exploratory analysis. Exploratory analyses are useful in generating hypotheses [132], but they should also be assessed with additional considerations to determine veracity when findings are used to explore causal processes [133]. Future studies should continue to incorporate a standard control group, and for these studies, sample sizes should be powered to examine food noise as a primary outcome.

Studies measuring brain activity through neural imaging techniques also provide important insights into food noise and the cognitive processing of food cues. Two studies reported that food cues, post‐GLP‐1RA administration, drive differential brain activation among individuals with obesity and individuals of normal weight. Individuals with obesity showed decreased responses in the amygdala and insula [48] and in the fusiform gyrus and lateral ventricle [100]. The amygdala and insula are areas in the brain proposed to help with appetite regulation, and they guide processes such as diminishing the value of food upon satiety [48]. Thus, decreased activity in these areas may relate to a lower emotional salience to food cues. The fusiform gyrus helps with object recognition and could be associated with the neural processing of visual food cues [100], so decreases in external eating over time could be due to diminished reward from visual food cues while taking these drugs. Another functional magnetic resonance imaging study argues eating behaviors could be a mechanistic explanation for individual variability in weight loss when on GLP‐1RAs [128]. This perspective is valuable and holds merit in short‐term weight loss studies, but given the potential for eating behaviors to longitudinally adapt with GLP‐1RA use, future work should examine change in food noise and eating behaviors over time.

Taken together, studies with stronger methodological designs suggest GLP‐1RAs contribute to diminished external and internal manifestations of food noise, as shown through changes in eating behaviors and resultant weight loss. Future studies should use direct measures of food noise, such as the recently published Food Noise Questionnaire [110] or Ro Allison Indiana Dhurandhar Food Noise (RAID‐FN) Inventory [130], to better understand its modulation by GLP‐1RA use.

6. Effects of GLP‐1RA on Gastric Emptying

It is commonly stated that a primary mechanism for weight loss with the use of GLP‐1RAs is augmented satiety due to delayed gastric emptying (DGE). GLP‐1RAs mimic the enterogastrone function of endogenous GLP‐1, which delays GE and inhibits gastric secretions [134, 135, 136]. However, DGE may not be the primary mechanism behind satiety and weight loss for several reasons. First, studies reporting statistically significant effects of GLP‐1RA usage on DGE and improved satiety vary greatly in methodology and study design, often employing inadequate gastric motility measurement techniques to form these conclusions [137, 138, 139, 140]. Second, it cannot be assumed that DGE leads to greater satiety, as studies show these factors are not tightly coupled [35, 38, 141, 142]. Finally, there is controversial evidence regarding whether the effect of DGE is strong enough to significantly reduce subsequent energy intake [35, 38, 143].

Both endogenous and exogenous GLP‐1 delay GE and reduce the frequency of the migrating motor complex (MMC) in the small intestine [139, 141, 144, 145]. This effect is noted in both healthy individuals and those with diabetes and appears to be dose‐related [34, 139, 141, 146, 147, 148]. GLP‐RAs mimic this property and may reduce GE by modulating antro‐pyloro‐duodenal motility via cholinergic pathways [136, 141, 149]. Others hypothesize that prolonged distention facilitates greater cumulative release of gastrointestinal hormones, thereby sustaining stimulation of gastrointestinal vagal receptors [148, 150, 151]. Similarly, GLP‐1RAs may continually stimulate GLP‐1 receptors on vagal afferent nerves, indicative of the presence of nutrients and thereby delay GE. As a result, chyme remains in the stomach, sustaining intragastric volume and prolonging activation of gastric mechanoreceptors, specifically in the antrum [139, 141, 147, 152]. The antrum is a source of satiation signals, and many studies report that GLP‐1 redistributes gastric contents, favoring the antrum [136, 139, 141, 153]. Some evidence suggests that this extended enhancement of satiation/satiety attributed to GLP‐1RA concentrations may reduce energy intake, ultimately resulting in weight loss [139, 141]. While the effect of GLP‐1 on GE is well‐documented, findings on the magnitude of this effect vary. Some studies report a substantive increase in GE time, while others conclude the impact is minimal [137, 143, 147, 154, 155]. Inconsistent findings may stem from differences in research design and methodologies. Studies report that GE can be significantly delayed in individuals who initially exhibit a rapid emptying rate, a characteristic of obesity and diabetes [137, 139, 141, 142]. Age, sex, and blood volume may also contribute to interindividual variations in baseline gastric‐emptying rates and skew results [38, 137, 141, 156, 157, 158]. Additionally, selection bias is possible where individuals with gastroparesis are less likely to participate in GLP‐1RA studies due to the potential for exacerbated symptoms [138].

Differences in gastric motility measurement techniques further complicate findings as no single method accounts for all variables affecting GE [141]. Gastric scintigraphy remains the “gold standard” for measuring GE. This technique directly and concurrently tracks both solid and liquid meal components from ingestion to excretion. While comparatively expensive, it is non‐invasive and provides accurate measurements of intragastric chyme distribution [141]. Other techniques, such as C‐breath tests, ultrasound, and D‐xylose plasma concentration measurements, are indirect and may only assess liquid emptying [137]. The acetaminophen absorption (AA) test, another common method, indirectly measures GE by tracking the appearance of paracetamol in the bloodstream once it reaches the small intestine. However, because acetaminophen is only absorbed in the small intestine rather than the stomach, this method assumes rapid absorption into the duodenum, which may not always be accurate [159]. Additionally, this test primarily measures the liquid phase of GE. Given these limitations, results from AA tests must be interpreted with caution [38, 139, 141].

Assuming GLP‐1RAs significantly delay GE, questions remain about whether the effects are clinically meaningful. A recent meta‐analysis compared pooled GE times in GLP‐1RA users and placebo controls [143]. While no significant difference was observed using AA tests, gastric scintigraphy studies reported a pooled mean difference of 40.2 min, concluding that this delay was not clinically meaningful. Similarly, a study using 13C‐breath test to determine the effect of liraglutide and lixisenatide on GE in those with T2D reported a delay of 25 ± 10 and 52 ± 17 min, respectively [35]. GE rates in people with obesity tend to be more rapid compared to healthy individuals, yet the reported delay is also not clinically meaningful. Furthermore, the correlation between DGE and appetite reduction or weight loss is weak [35, 141].

Many studies, even those with substantially different results for GE rates, do not report significant correlations between GE and satiety [38, 137, 142, 147, 148]. One study using gastric scintigraphy reported physiological (0.3 pmol·kg−1·min−1) and supraphysiological (0.9 pmol·kg−1·min−1) doses of GLP‐1 resulted in solid food retention in the antral region of the stomach for 60–120 and 75–120 min, respectively [147]. Despite this delay, there was no significant relationship between the amount of retained gastric content and appetitive sensations [147]. Similarly, a study using 10 mcg of lixisenatide reported DGE, but theorized a centrally mediated reduction in energy intake.

A study conducted on six men with obesity using AA testing determined that less than 50% of a mixed‐nutrient meal emptied within 180 min in individuals infused with GLP‐1 (0.75 pmol·kg−1·min−1), whereas the saline‐infused control group exhibited full GE within the same time frame [148]. This study reports a significant delay in GE rates and a significant reduction in hunger, desire to eat, and prospective food consumption 4 h post‐ingestion compared to the control group. However, feelings of fullness 4 h post‐ingestion were not significantly different between GLP‐1 and saline. Although this study demonstrates DGE by exogenous GLP‐1, the lack of a significant effect on feelings of fullness suggests these are not tightly coupled [148]. A similar study supports this concept. A RCT with 16 healthy men observed no statistically significant effects on hunger or fullness scores at GLP‐1 infusion concentrations of 0.375 and 0.75 pmol·kg−1·min−1. Even supraphysiological doses (1.5 pmol·kg−1·min−1) did not increase satiety ratings [154].

In a 20‐week study with parallel groups, one group received 21 progressively increasing doses of semaglutide and another placebo. Following adjustment for body weight, no difference in GE rates was observed using AA [38]. Despite using an AA test, the study was well‐designed to assess GLP‐1's impact on satiety. This study demonstrates that GLP‐1RA's satiety‐inducing property is observed when DGE is not.

Given these conflicting findings, it appears unlikely that the reported enhanced satiety and weight loss observed with GLP‐1RAs can be attributed to their effect on DGE. Satiety is governed by a complex interplay of hormonal and neural signals and modifying a single factor does not fully explain the mechanisms behind sustained satiety and reduced energy intake [150]. GLP‐1RAs' marked success in weight management cannot be primarily attributed to their mimicry of endogenous GLP‐1's enterogastrone property.

7. Effects of GLP‐1RA on the Gut Microbiome

The gut microbiome refers to the diverse community of microorganisms, including bacteria, viruses, fungi, and archaea, that reside in the gastrointestinal tract. These microbes play essential roles in digestion, immune function, and energy regulation, and they influence host metabolism, inflammatory responses, and even communication with the brain, profoundly impacting overall health and disease risk. In both rodent models and human studies, GLP‐1RA therapy induces measurable changes in gut microbial composition, which may in turn modulate microbial metabolic outputs and influence host physiology. For instance, the use of GLP‐1RA decreases the Firmicutes/Bacteroidetes ratio, which is a feature that has been associated with lean phenotypes [160]. GLP‐1RA has also been shown to promote the presence of beneficial bacteria, such as Lactobacillus, in the gut [23]. Changes in the gut microbiome at the community level have been reported, with GLP‐1RA promoting greater alpha‐diversity in adults with T2D [161] and diet‐induced obese mice [162]. However, these shifts may reflect not only direct drug‐microbe interactions but also changes secondary to reduced energy intake and altered gastrointestinal transit.

Perhaps the strongest causal evidence for the gut microbiome's involvement in GLP‐1RA‐induced metabolic regulation comes from antibiotic and microbiota transplantation studies. When treated with antibiotics to abolish their gut microbiome, GLP‐1RA‐treated mice had reduced weight loss, worse glycemic response, greater insulin resistance, and greater adipocyte size [160, 163]. Furthermore, germ‐free mice that received microbiota from GLP‐1RA‐treated diabetic mice showed improved glucose‐stimulated insulin secretion compared to those that received microbiota from untreated diabetic mice [160].

Other than reducing inflammation by promoting intestinal barrier function, additional mechanisms have been suggested by which the gut microbiome may mediate GLP‐1RA‐induced metabolic regulation, such as through the production of microbial metabolites. The gut microbiome regulates metabolism, appetite, and glycemic responses partly through influencing GLP‐1 production via a variety of metabolites it generates, such as SCFA [164, 165, 166] and bile acids [167, 168]. GLP‐1RA medications may alter the synthesis of these microbial metabolites. For example, GLP‐1RA medication enhanced the relative abundance of SCFA‐producing bacteria [169, 170] in diabetic rodents. While the reported data are limited, a functional impact may exist, as GLP‐1RA treatment increases fecal SCFA concentrations in humans with T2D. SCFA may augment satiety signaling by creating a potential positive feedback loop that amplifies the anorectic effects of GLP‐1 through activating colonic free fatty acid receptors FFAR2 and FFAR3 on enteroendocrine L cells and vagal afferents [171, 172, 173].

Primary bile acids are synthesized by the liver and are metabolized into secondary bile acids by the gut microbiota. Although data are scarce, GLP‐1RAs may modulate bile acid metabolism by increasing serum unconjugated deoxycholic acid and decreasing taurine‐conjugated deoxycholic acid [174]. Due to bile acids' potent role in regulating energy metabolism and inflammation, they have been speculated to contribute to GLP‐1RA‐induced metabolic regulation via microbiome‐mediated mechanisms. Some bile acids can stimulate insulin and GLP‐1 secretion through activation of the farnesoid X receptor (FXR) and TGR5 pathways [175].

Another proposed mechanism linking GLP‐1RA therapy and the microbiome is improved intestinal barrier function through promoting tight junction integrity and thereby reducing gut microbiome‐derived inflammation. Indeed, GLP‐1RA reportedly exerts anti‐inflammatory effects on inflammatory bowel diseases [176, 177, 178]. GLP‐1RA treatment improved intestinal permeability and reduced oxidative stress, intestinal and systemic inflammation, circulating endotoxin lipopolysaccharide (LPS) level, and pro‐inflammatory cytokine interleukin 6 in diabetic rats [179] and LPS‐challenged rats [180]. GLP‐1RA has also been shown to promote the relative abundance of the gut microbial taxon Akkermansia muciniphila , a species that increases with enhanced intestinal mucus production. A greater proportion of A. muciniphila reduces intestinal permeability and inflammation [162, 181, 182].

In summary, GLP‐1RAs alter the relative abundance of gut microbial species and enhance alpha diversity either through direct effects or secondary to medication‐promoted weight loss. Preliminary studies with antibiotics and microbial implants support a direct effect possibly through satiety signaling, reduced inflammation and/or modulation of bile acid metabolism. The degree to which these effects alter food intake and body weight remains uncharacterized.

8. Incretin Effects of GLP‐1RAs

GLP‐1RA administration promotes insulin secretion when blood glucose concentrations are elevated [183, 184], resulting in a reduction in glycemia. There is a long‐standing view that the sensation of hunger is intensified under conditions of elevated insulin and lower blood sugar concentrations [185]. Some studies focus more specifically on insulin [139, 186] and others on glucose [187, 188] as drivers of appetitive sensations. Still, other work indicates a lack of a causal relationship between postprandial glucose and/or insulin concentrations and subjective hunger [185, 189]. There is unquestionably a postprandial rise of insulin and a subsequent reduction of glucose, perhaps even below premeal concentrations, that is accompanied by a reduction of hunger. However, these associations are unlikely to reflect a causal relationship due to no effects on appetite observed in most studies [190, 191, 192] under controlled conditions of clamping glucose or insulin. Thus, it is questionable that the incretin effect of GLP‐1RA plays an important role in appetite modulation and thereby contributes to a reduction of food/energy intake and body weight.

Patients with diabetes have lower incretin effects than individuals with normoglycemia and tend to lose less weight on treatment. Data from The Semaglutide Treatment Effect in People with obesity (STEP) trials, which assessed the efficacy of semaglutide (2.4 mg) in patients with normoglycemia or T2D, indicated greater weight loss (average of 16.8% across STEP‐1, 3, and 5) in healthy patients with mean HbA1c of 5.7% compared with a mean 9.64% weight loss in participants with HbA1c of 8.1% (STEP 2 trial) [10, 193, 194, 195]. A similar observation was made in SURMOUNT‐1 and SURMOUNT‐2 trials, where similar doses of tirzepatide were administered to participants with obesity or overweight and normal to only prediabetes blood glucose concentrations (mean HbA1c: 5.6%, fasting glucose: 95.3 mg/L, fasting insulin: 86.4 pmol/L) and to people with T2D (mean HbA1c: 8.07%, fasting glucose: 161.2 mg/L, fasting insulin: 83.6 pmol/L), respectively, for 72 weeks. In SURMOUNT‐1, the percentages of weight reduction for participants with normal to slightly elevated glycemia was −20.9%, while changes in glycemia were −10.6 mg/dL (fasting glucose) and −0.51% (HbA1c) [196]. Values for glycemia and weight loss for SURMOUNT 2 were −48.9 mg/dL (fasting glucose), −2.07% (HbA1c) and −14.7% (tirzepatide, 15 mg) [197], respectively. In SURMOUNT 3 and 4, which recruited individuals with overweight or obesity and prediabetes or normoglycemia, body weight decreased by 18.4% and 26% respectively, while changes in HbA1c were −0.5% and −0.57% [23, 195]. The glucose‐lowering effect in T2D is consistent with the incretin activity of GLP‐1RA but there is no effect observed in healthy participants. Moreover, treatment effects on insulin secretion were not reported in these trials although the proof‐of‐concept study for tirzepatide shows augmented insulin secretion in patients with diabetes [198]. Similarly, in another small cohort study, the administration of GLP‐1RA to individuals with or without diabetes reported enhanced insulin secretion in healthy individuals about three to five times more than it increased insulin secretion in individuals with diabetes [199]. Thus, these trials indicate reductions in glycemia were greater and weight loss was less in the patients with T2D compared to individuals with similar adiposity but glycemia in the normal or prediabetic range. Such findings are not consistent with a view that elevated insulin and lower blood sugar concentrations augment hunger and food intake resulting in greater adiposity.

It should also be noted that the direction of causality between incretin effects and weight loss is uncertain. One could posit that the greater insulinotropic effect of GLP‐1 in healthy individuals could explain why they tend to lose more weight compared to patients with diabetes placed on a similar dose of GLP‐1RA or GIP/GLP‐1RA. A recent consensus from post hoc studies that compared single and dual receptor agonists suggested that changes in bodyweight may be mostly responsible for improved insulin sensitivity in individuals with diabetes [200]. Consequently, loss of excessive fat mass may be playing an important role in restoring insulin sensitivity as opposed to the reverse. Taken together, available data from trials of single GLP‐1 and dual GLP‐1/GIP receptor agonists do not reveal that an incretin effect is responsible for weight loss in healthy individuals and those with T2D.

9. Effects of Endogenous GLP‐1 on Energy Expenditure

Another mechanism by which GLP‐1RAs may decrease body weight is through augmentation of energy expenditure. Assessments have been made of these drugs on resting and postprandial energy expenditure, the thermic effect of feeding, and physical activity.

The acute effects of GLP‐1 infusion on energy expenditure have been studied in diverse populations for nearly three decades. A systematic review reported that intravenous or subcutaneous GLP‐1 infusions do not increase basal or resting energy expenditure in humans [201]. A later study concurred and expanded the evidence base noting that GLP‐1 infusion during isoglycemic clamp did not affect resting energy expenditure [202]. Similarly, infusion of GLP‐1 does not increase postprandial energy expenditure [203]. Indeed, in some reports, postprandial energy expenditure was paradoxically suppressed by acute GLP‐1 infusion in individuals with a normal weight and in individuals with obesity [204, 205]. This may relate to the acute inhibition of GE by GLP‐1 [140, 205]. Additionally, this inconsistency may stem from a difference in measurement timing. For example, a decline was reported when energy expenditure was measured every hour for 4 h during the postprandial time period and the largest effect was noted in the first hour [204, 205]. In contrast, no effect was observed when measurements were only obtained before and 210 min after meal ingestion [203]. Additionally, the physical form of the meal was different between the studies. A reduction of energy expenditure was noted following ingestion of a solid meal, and no effect was reported with a liquid‐based meal. This may relate to the slower emptying of solid versus liquid loads [206]. Overall, the evidence indicates GLP‐1 administration leads to no effect or a decrease in thermogenesis. There is no evidence to support that GLP‐1 increases thermogenesis, as would be expected were it to contribute to weight loss.

9.1. The Effect of GLP‐1RA on Energy Expenditure

The evidence for the effect of acute GLP‐1RA injection on energy expenditure is limited, but suggests a lack of effect [207]. Chronic GLP‐1RA treatment effects have been variable. Exenatide [208, 209, 210] and liraglutide [139, 211, 212] had no significant impact on resting, total, and/or sleeping energy expenditure in some studies, while others have reported a reduction in total energy expenditure by exenatide [213] and liraglutide [34, 214]. Additional studies have been published, but they lacked an appropriate control group or calculated energy expenditure indirectly [215, 216, 217, 218]. Further, it is important to note that body weight, body composition, and age influence energy expenditure measurements [219], and chronic energy restriction itself lowers energy expenditure [220]. Many studies did not adjust for these potential confounders. Thus, if an individual experienced significant weight loss from the treatment, energy expenditure could be underestimated at the post‐intervention time point. However, even when adjustments were made for at least one of these factors, the results remained inconsistent; with one study reporting an increase of 12%–17% [221], two studies reporting no effect [37, 209], and one study noting a trivial (< 10%) decrease at an early time point (4–12 weeks) of the intervention [214]. Overall, the chronic effect of GLP‐1RA administration on energy expenditure does not support a substantive increase, indicating it is an unlikely mechanism for weight loss due to GLP‐1RA use.

Given that exogenous GLP‐1 might suppress diet‐induced thermogenesis, this raises the question of whether similar effects are observed with GLP‐1RA. One study reported that an acute exenatide injection had no effect on postprandial energy expenditure [207]. However, it should be noted that energy expenditure was measured before and 210 min after meal ingestion, similar to the study reporting no effect of exogenous GLP‐1 infusion on postprandial energy expenditure [203]. Chronic exenatide injection also appeared to have no effect on diet‐induced thermogenesis [216]. Overall, the current limited evidence indicates there is no observed effect of GLP‐1RA use on diet‐induced thermogenesis.

Recently, the effect of GLP‐1RA administration on physical activity has been assessed [213, 222], with some studies suggesting a potential increase [222] and others demonstrating no changes [213]. Whether any increase in physical activity is a direct effect of GLP‐1RA use or a secondary effect of weight loss with improved mobility or motivation is not known. In most studies, energy expenditure measurements are conducted under well‐controlled experimental settings that do not account for daily activities. As physical activity is the most variable component of energy expenditure [223], future studies should examine the behavioral effects of GLP‐1RA under naturalistic living conditions.

Most work on energy expenditure to date has focused on single agonists, but the increased weight loss efficacy of dual and tri‐agonists [224, 225] suggests they warrant additional study, especially those including glucagon. Glucagon infusion increases energy expenditure [226] and does so independently of brown adipose tissue thermogenesis in humans [227]. In rodents, a tri‐agonist increased energy expenditure via glucagon receptor agonism [228, 229]. However, early findings for dual GLP‐1, GIP, and glucagon receptor agonism in humans have revealed chronically lowered lean body mass‐adjusted total and resting energy expenditure [230]. Another study did not find an effect on total and resting metabolic rate, but sleeping metabolic rate was lowered by dual agonism [231]. The mechanisms of both acute and chronic effects of glucagon agonism on energy expenditure in humans remain to be better characterized.

In summary, there is a lack of evidence that GLP‐1RAs induce weight loss via increased energy expenditure. However, increased energy expenditure due to enhanced physical activity warrants further study. Future generations of GLP‐1RA drugs that aim to exploit this mechanism are being developed and may hold promise.

10. Conclusion

GLP‐1RA medications have led to unprecedented, nonsurgical levels of weight loss. There has been considerable speculation about the mechanisms underlying this therapeutic benefit. An improved understanding will aid new drug development, beneficial adjunct therapies, and, possibly, approaches to enhance drug use compliance and adherence. However, the evidence reviewed here (see Table 1 for a summary) does not appear consistent with the substantial and sustained 15%–25% weight loss achieved with these medications. It may be that there are other mechanisms not considered here that better account for the observed weight management benefits. Alternatively, the impact of the reviewed mechanisms could be underestimated due to insufficient understanding of their roles or that there is synergy whereby modest changes in multiple mechanisms support a larger impact on body weight.

TABLE 1.

Summary of evidence across proposed mechanisms of glucagon‐like peptide‐1 receptor agonist–induced weight loss.

Mechanism Magnitude Consistency Dose–response Temporal persistence Clinical relevance
Appetite/satiety Statistically significant, but small to moderate effect sizes Directionally consistent (↓ hunger/ ↑ satiety/fullness) across controlled trials, but heterogeneous by measure and context Inconsistent within therapeutic ranges Several reports effects are transient Contributes to reduced energy intake and weight loss, but shifts alone are modest and likely do not fully explain clinical outcomes
Chemosensory function (taste and olfaction) Modest effects with magnitude poorly quantified and inconsistent across endpoints (e.g., thresholds vs. hedonic responses) Low: heterogeneous findings across studies, sensory domains (taste vs. smell), and outcome type (detection/recognition thresholds vs. scaling vs. hedonic response) No evidence Not established. Uncertain but potentially meaningful: may contribute to changes in food liking/selection and adherence, but causal links to energy intake and weight loss remain unproven
Food cravings/aversions

Small to moderate.

‐Cravings: reduced; but effect sizes are rarely standardized and often quality‐specific (savory > sweet in some data).

‐Aversions: uncertain/likely small

Moderate for reduced cravings: more consistent signal to “resist cravings,” less consistent for specific craving categories across time. Low for aversions: inconsistent and under‐studied Unclear/limited evidence Cravings may attenuate over time for certain categories (e.g., sweet) while other qualities may persist (e.g., savory), but not reliably across studies Potentially meaningful for adherence and weight maintenance; uncertain as an independent driver of weight loss
Cognition—food noise Moderate (on proxy outcomes): across trials/observational work, reductions in external eating, uncontrolled eating, disinhibition, food preoccupation/thoughts about food are commonly reported, but effect sizes vary by instrument and context Moderate to high (for proxy measures): most studies show improvements in cue‐driven eating/disinhibition/food thoughts Unclear/insufficient evidence Probably sustained over months, but time‐course and adaptation are not well characterized Potentially high (behavioral adherence and real‐world eating control), but causality and construct validity are still developing
Gastric emptying Modest and method‐dependent (high inter‐individual variability) Low–moderate (high heterogeneity by measurement technique, baseline gastric emptying rate, population, and study design) Evident in acute settings Often attenuates over time Low (delays are often not clinically meaningful, and correlations with satiety/weight loss are weak)
Microbiome Moderate changes in composition/alpha‐diversity, but effects can be confounded by reduced intake, weight loss, and altered transit. Moderate evidence of association with shifts in microbiome composition/diversity, but low consistency for specific taxa or microbial “signatures” Unclear/insufficient evidence Uncertain Potential but not established
Incretin activity (insulin/glucagon) High for glycemic control in T2D; minimal in normoglycemia. As a driver of appetite/energy intake, effects appear small/indirect High consistency for insulinotropic + glucose‐lowering effects in T2D Present for metabolic endpoints (greater receptor agonism tends to produce greater glucose lowering/insulin secretion within therapeutic ranges) Sustained with continued treatment for glycemic outcomes High clinical relevance for diabetes management and cardiometabolic risk via glycemic improvement; low relevance as a primary mechanism of weight loss/appetite regulation
Energy expenditure None to small; often null or slightly decreased Moderate–high consistency for “no meaningful increase” in humans Not established for GLP‐1RAs as a class. Potential dose‐related effects for glucagon receptor agonism (dual/tri‐agonists) Insufficient evidence Low as a primary mechanism of GLP‐1RA weight loss

Abbreviations: GLP‐1RA, glucagon‐like peptide‐1 receptor agonist; T2D, type 2 diabetes.

Clarification of these alternatives should be a high priority for future research. As a base to build on, the present review finds reduced hunger and/or augmented fullness are documented, but of modest magnitude, not dose‐dependent, and appear transient over time. Subjective appetite ratings may be related to diet composition (e.g., high or low fat), vary by health status (e.g., obesity or diabetes), and are frequently assessed over short time windows; as such, they do not reliably capture real‐world eating patterns or long‐term effects on energy balance. Thus, present understanding of their role in weight management is incomplete. Subtle chemosensory shifts may also contribute: gradual and often unnoticed changes in taste or smell can still alter hedonic valuation and food choice over time. This principle is consistent with population‐level reformulation strategies, which rely on incremental reductions that consumers typically do not detect while preferences adapt (e.g., the UK salt‐reduction program [232]). Consistent with this, a recent study reported that objective chemosensory testing can reveal changes not captured by self‐report [63], underscoring that “not noticing” does not imply “no effect.” Cravings and aversions generally hold limited impact on body weight, due, in part, to their specificity and little evidence suggests this is markedly altered by GLP‐1RA medications. Food noise is a new concept that remains poorly characterized and, until recently, without an agreed‐upon method of measurement. However, there are consistent clinical reports of GLP‐1RA‐induced diminutions of persistent, intrusive food thoughts that may underlie excessive energy intake. This may still prove to be a dominant mode of action. If so, it will be critical to characterize its sustainability and what adjunct treatments will be required to minimize this driver with cessation of GLP‐1RA use. Delayed GE is also a consistent finding, but of short duration (e.g., ~40 min) and poorly correlated with appetitive ratings, the presumed mediator of reduced energy intake and body weight. Enhanced fiber intake has been proposed to augment GLP‐1RA effects on GE and GI transit, but given complications of diarrhea and constipation with medication use, careful attention to the types of fibers ingested will be required to ensure symptoms are not intensified and possible beneficial effects related to slowed emptying/transit are not undermined. There are suggestive effects that GLP‐1RAs may alter the gut microbiome with resultant augmentation of appetitive sensations, but given the evidence on appetite indicates it is of limited magnitude, and transient, the importance of this mechanism is uncertain. GLP‐1RA effects on the microbiome may hold greater clinical importance for other health conditions. This review did not find evidence of a direct incretin effect or an increase of any dimension of energy expenditure on weight loss or maintenance. It may be that the constellation of multiple subtle effects is sufficient to explain the marked weight loss associated with GLP‐1RA use. Key priorities moving forward are to develop and validate direct measures of food noise, and to conduct mechanistic trials testing whether changes in these pathways actually drive reductions in food intake and body weight loss. Longitudinal work is also needed to assess persistence, adaptation, and outcome during dose changes or discontinuation, as well as identification of moderators (e.g., sex, diabetes, eating‐behavior phenotypes, and diet composition) that may explain heterogeneity and inform adjunct strategies.

Author Contributions

Giorgia Rutigliani, Tzu‐Wen L. Cross, Erica de Jong, Emily S. Glover, Ivan D. Mendoza, Mojisola Adisa, Keigo Tomoo, Xinyi Zhou, and Richard D. Mattes contributed to the conceptualization and writing of the review. All authors contributed to writing, critically reviewed the manuscript for intellectual content, and approved the final version.

Funding

The authors have nothing to report.

Conflicts of Interest

The authors declare no conflicts of interest.

Acknowledgments

The authors have nothing to report.

Data Availability Statement

Data sharing not applicable to this article as no datasets were generated or analysed during the current study.

References

  • 1. Flegal K., Carroll M., Kuczmarski R., and Johnson C., “Overweight and Obesity in the United States: Prevalence and Trends, 1960–1994,” International Journal of Obesity 22, no. 1 (1998): 39–47, 10.1038/sj.ijo.0800541. [DOI] [PubMed] [Google Scholar]
  • 2. National Institute of Diabetes and Digestive and Kidney Diseases , Overweight & Obesity Statistics, https://www.niddk.nih.gov/health‐information/health‐statistics/overweight‐obesity.
  • 3. Banas J., McDowell Cook A., Raygoza‐Cortez K., et al., “United States Long‐Term Trends in Adult BMI (1959–2018): Unreveling the Roots of the Obesity Epidemic,” International Journal of Environmental Research and Public Health 21, no. 1 (2024): 73, 10.3390/ijerph21010073. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Kranjac A. W. and Kranjac D., “Explaining Adult Obesity, Severe Obesity, and BMI: Five Decades of Change,” Heliyon 9, no. 5 (2023): e16210, 10.1016/j.heliyon.2023.e16210. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Iqbal H., McEachan R. R. C., West J., and Haith‐Cooper M., “Research Priority Setting in Obesity: A Systematic Review,” Journal of Public Health 31, no. 8 (2023): 1285–1301, 10.1007/s10389-021-01679-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Pronk N. P., Eneli I., Economos C. D., et al., “Using Systems Science for Strategic Planning of Obesity Prevention and Treatment: The Roundtable on Obesity Solutions Experience,” Current Problems in Cardiology 48, no. 8 (2023): 101240, 10.1016/j.cpcardiol.2022.101240. [DOI] [PubMed] [Google Scholar]
  • 7. Gibbs J., Young R. C., and Smith G. P., “Cholecystokinin Decreases Food Intake in Rats,” Journal of Comparative and Physiological Psychology 84, no. 3 (1973): 488–495, 10.1037/h0034870. [DOI] [PubMed] [Google Scholar]
  • 8. Woods S. C., May‐Zhang A. A., and Begg D. P., “How and Why Do Gastrointestinal Peptides Influence Food Intake?,” Physiology & Behavior 193 (2018): 218–222, 10.1016/j.physbeh.2018.02.048. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Hengist A., Sciarrillo C. M., Guo J., Walter M., and Hall K. D., “Gut‐Derived Appetite Hormones Do Not Explain Energy Intake Differences in Humans Following Low‐Carbohydrate Versus Low‐Fat Diets,” Obesity 32, no. 9 (2024): 1689–1698, 10.1002/oby.24104. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Wilding J. P. H., Batterham R. L., Calanna S., et al., “Once‐Weekly Semaglutide in Adults With Overweight or Obesity,” New England Journal of Medicine 384, no. 11 (2021): 989–1002, 10.1056/NEJMoa2032183. [DOI] [PubMed] [Google Scholar]
  • 11. Liu Y., Ruan B., Jiang H., et al., “The Weight‐Loss Effect of GLP‐1RAs Glucagon‐Like Peptide‐1 Receptor Agonists in Non‐Diabetic Individuals With Overweight or Obesity: A Systematic Review With Meta‐Analysis and Trial Sequential Analysis of Randomized Controlled Trials,” American Journal of Clinical Nutrition 118, no. 3 (2023): 614–626, 10.1016/j.ajcnut.2023.04.017. [DOI] [PubMed] [Google Scholar]
  • 12. Kramer C. K., Retnakaran M., and Viana L. V., “Effect of Glucagon‐Like Peptide‐1 Receptor Agonists (GLP‐1RA) on Weight Loss Following Bariatric Treatment,” Journal of Clinical Endocrinology and Metabolism 109, no. 8 (2024): e1634–e1641, 10.1210/clinem/dgae176. [DOI] [PubMed] [Google Scholar]
  • 13. Yao H., Zhang A., Li D., et al., “Comparative Effectiveness of GLP‐1 Receptor Agonists on Glycaemic Control, Body Weight, and Lipid Profile for Type 2 Diabetes: Systematic Review and Network Meta‐Analysis,” BMJ (Clinical Research ed.) 384 (2024): e076410, 10.1136/bmj-2023-076410. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Watanabe J. H., Kwon J., Nan B., and Reikes A., “Trends in Glucagon‐Like Peptide 1 Receptor Agonist Use, 2014 to 2022,” Journal of the American Pharmaceutical Association 64, no. 1 (2024): 133–138, 10.1016/j.japh.2023.10.002. [DOI] [PubMed] [Google Scholar]
  • 15. Hegland T. A., Fang Z., and Bucher K., “GLP‐1 Medication Use for Type 2 Diabetes Has Soared,” Journal of the American Medical Association 332, no. 12 (2024): 952–953, 10.1001/jama.2024.18219. [DOI] [PubMed] [Google Scholar]
  • 16. Tsipas S., Khan T., Loustalot F., Myftari K., and Wozniak G., “Spending on Glucagon‐Like Peptide‐1 Receptor Agonists Among US Adults,” JAMA Network Open 8, no. 4 (2025): e252964, 10.1001/jamanetworkopen.2025.2964. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Gratzl S., Rodriguez P. J., Cartwright B. M. G., Baker C., and Stucky N. L., “Monitoring Report: GLP‐1 RA Prescribing Trends ‐ September 2024 Data,” (2024), 10.1101/2024.01.18.24301500. [DOI]
  • 18. Yeo Y. H., Rezaie A., Hsieh T. Y. J., et al., “Shifting Trends in the Indication of Glucagon‐Like Peptide‐1 Receptor Agonist Prescriptions: A Nationwide Analysis,” Annals of Internal Medicine 177, no. 9 (2024): 1289–1291, 10.7326/M24-0019. [DOI] [PubMed] [Google Scholar]
  • 19. KFF Health Tracking Poll , “The Public's Use and Views of GLP‐1 Drugs,” (2024), https://www.kff.org/health‐costs/poll‐finding/kff‐health‐tracking‐poll‐may‐2024‐the‐publics‐use‐and‐views‐of‐glp‐1‐drugs/.
  • 20. Lassen M. C. H., Johansen N. D., Modin D., et al., “Adherence to Glucagon‐Like Peptide −1 Receptor Agonist Treatment in Type 2 Diabetes Mellitus: A Nationwide Registry Study,” Diabetes, Obesity & Metabolism 26, no. 11 (2024): 5239–5250, 10.1111/dom.15872. [DOI] [PubMed] [Google Scholar]
  • 21. Rodriguez P. J., Zhang V., Gratzl S., et al., “Discontinuation and Reinitiation of Dual‐Labeled GLP‐1 Receptor Agonists Among US Adults With Overweight or Obesity,” JAMA Network Open 8, no. 1 (2025): e2457349, 10.1001/jamanetworkopen.2024.57349. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Thomsen R. W., Mailhac A., Løhde J. B., and Pottegård A., “Real‐World Evidence on the Utilization, Clinical and Comparative Effectiveness, and Adverse Effects of Newer glp ‐ 1ra ‐Based Weight‐Loss Therapies,” Diabetes, Obesity & Metabolism 27, no. S2 (2025): 66–88, 10.1111/dom.16364. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Aronne L. J., Sattar N., Horn D. B., et al., “Continued Treatment With Tirzepatide for Maintenance of Weight Reduction in Adults With Obesity: The SURMOUNT‐4 Randomized Clinical Trial,” Journal of the American Medical Association 331, no. 1 (2024): 38–48, 10.1001/jama.2023.24945. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24. Xie Y., Choi T., and Al‐Aly Z., “Mapping the Effectiveness and Risks of GLP‐1 Receptor Agonists,” Nature Medicine 31, no. 3 (2025): 951–962, 10.1038/s41591-024-03412-w. [DOI] [PubMed] [Google Scholar]
  • 25. Mozaffarian D., “GLP‐1 Agonists for Obesity—A New Recipe for Success?,” Journal of the American Medical Association 331, no. 12 (2024): 1007–1008, 10.1001/jama.2024.2252. [DOI] [PubMed] [Google Scholar]
  • 26. Athinarayanan S. J. and Roberts C. G. P., “Pathways to Sustainable GLP‐1 Receptor Agonist Off‐Ramping,” JAMA Internal Medicine 185, no. 3 (2025): 350, 10.1001/jamainternmed.2024.7675. [DOI] [PubMed] [Google Scholar]
  • 27. Ard J., Fitch A., Fruh S., and Herman L., “Weight Loss and Maintenance Related to the Mechanism of Action of Glucagon‐Like Peptide 1 Receptor Agonists,” Advances in Therapy 38, no. 6 (2021): 2821–2839, 10.1007/s12325-021-01710-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Abdullah Bin Ahmed I., A Comprehensive Review on Weight Gain Following Discontinuation of Glucagon‐Like Peptide‐1 Receptor Agonists for Obesity, ed. Weller A., Journal of Obesity 2024 (2024): 1–8, 10.1155/2024/8056440. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Beglinger C. and Degen L., “Gastrointestinal Satiety Signals in Humans — Physiologic Roles for GLP‐1 and PYY ?,” Physiology & Behavior 89, no. 4 (2006): 460–464, 10.1016/j.physbeh.2006.05.048. [DOI] [PubMed] [Google Scholar]
  • 30. Lim J. J. and Poppitt S. D., “How Satiating Are the ‘Satiety’ Peptides: A Problem of Pharmacology Versus Physiology in the Development of Novel Foods for Regulation of Food Intake,” Nutrients 11, no. 4 (2019): 1517, 10.3390/nu11071517. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. Lim J. J., Liu Y., Lu L. W., Sequeira I. R., and Poppitt S. D., “No Evidence That Circulating GLP‐1 or PYY Are Associated With Increased Satiety During Low Energy Diet‐Induced Weight Loss: Modelling Biomarkers of Appetite,” Nutrients 15, no. 10 (2023): 2399, 10.3390/nu15102399. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32. Flint A., Raben A., Astrup A., and Holst J. J., “Glucagon‐Like Peptide 1 Promotes Satiety and Suppresses Energy Intake in Humans,” Journal of Clinical Investigation 101, no. 3 (1998): 515–520, 10.1172/JCI990. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33. Tronieri J. S., Wadden T. A., Walsh O., et al., “Effects of Liraglutide on Appetite, Food Preoccupation, and Food Liking: Results of a Randomized Controlled Trial,” International Journal of Obesity 44, no. 2 (2020): 353–361, 10.1038/s41366-019-0348-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. Van Can J., Sloth B., Jensen C. B., Flint A., Blaak E. E., and Saris W. H. M., “Effects of the Once‐Daily GLP‐1 Analog Liraglutide on Gastric Emptying, Glycemic Parameters, Appetite and Energy Metabolism in Obese, Non‐Diabetic Adults,” International Journal of Obesity 38, no. 6 (2014): 784–793, 10.1038/ijo.2013.162. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35. Quast D. R., Nauck M. A., Schenker N., Menge B. A., Kapitza C., and Meier J. J., “Macronutrient Intake, Appetite, Food Preferences and Exocrine Pancreas Function After Treatment With Short‐ and Long‐Acting Glucagon‐Like Peptide‐1 Receptor Agonists in Type 2 Diabetes,” Diabetes, Obesity & Metabolism 23, no. 12 (2021): 2344–2353, 10.1111/dom.14477. [DOI] [PubMed] [Google Scholar]
  • 36. Jensen S. B. K., Janus C., Lundgren J. R., et al., “Exploratory Analysis of Eating‐ and Physical Activity‐Related Outcomes From a Randomized Controlled Trial for Weight Loss Maintenance With Exercise and Liraglutide Single or Combination Treatment,” Nature Communications 13, no. 1 (2022): 4770, 10.1038/s41467-022-32307-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37. Blundell J., Finlayson G., Axelsen M., et al., “Effects of Once‐Weekly Semaglutide on Appetite, Energy Intake, Control of Eating, Food Preference and Body Weight in Subjects With Obesity,” Diabetes, Obesity & Metabolism 19, no. 9 (2017): 1242–1251, 10.1111/dom.12932. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38. Friedrichsen M., Breitschaft A., Tadayon S., Wizert A., and Skovgaard D., “The Effect of Semaglutide 2.4 mg Once Weekly on Energy Intake, Appetite, Control of Eating, and Gastric Emptying in Adults With Obesity,” Diabetes, Obesity & Metabolism 23, no. 3 (2021): 754–762, 10.1111/dom.14280. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39. Huang J., Hua F., Jiang X., et al., “Effects of Dulaglutide Combined With Insulin Degludec on Glucose Fluctuations and Appetite in Type 2 Diabetes,” Frontiers in Endocrinology 14 (2023): 1130470, 10.3389/fendo.2023.1130470. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40. Martin C. K., Carmichael O. T., Considine R. V., et al., Effects of Tirzepatide on Eating Behaviour: A Phase 1 Study in People Living With Obesity (CityCube Berlin, 2024): s‐0044‐1785402, 10.1055/s-0044-1785402. [DOI] [Google Scholar]
  • 41. Heise T., DeVries J. H., Urva S., et al., “Tirzepatide Reduces Appetite, Energy Intake, and Fat Mass in People With Type 2 Diabetes,” Diabetes Care 46, no. 5 (2023): 998–1004, 10.2337/dc22-1710. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42. Yabe D., Kawamori D., Seino Y., Oura T., and Takeuchi M., “Change in Pharmacodynamic Variables Following Once‐Weekly Tirzepatide Treatment Versus Dulaglutide in Japanese Patients With Type 2 Diabetes (surpass J‐Mono Substudy),” Diabetes, Obesity & Metabolism 25, no. 2 (2023): 398–406, 10.1111/dom.14882. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43. U.S. Food and Drug Administration , Mounjaro (Tirzepatide) Injection: Prescribing Information, U.S. Food and Drug Administration, https://www.accessdata.fda.gov/drugsatfda_docs/label/2022/215866s000lbl.pdf.
  • 44. U.S. Food and Drug Administration , Ozempic (Semaglutide) Injection: Prescribing Information, https://www.accessdata.fda.gov/drugsatfda_docs/label/2017/209637lbl.pdf.
  • 45. Eli Lilly and Company , Trulicity (Dulaglutide) Injection: Prescribing Information, Eli Lilly and Company, https://pi.lilly.com/us/trulicity‐uspi.pdf.
  • 46. Gibbons C., Blundell J., Tetens Hoff S., Dahl K., Bauer R., and Bækdal T., “Effects of Oral Semaglutide on Energy Intake, Food Preference, Appetite, Control of Eating and Body Weight in Subjects With Type 2 Diabetes,” Diabetes, Obesity & Metabolism 23, no. 2 (2021): 581–588, 10.1111/dom.14255. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47. Dubé M., D'Amours M., and Weisnagel S. J., “Effect of Liraglutide on Food Consumption, Appetite Sensations and Eating Behaviours in Overweight People With Type 1 Diabetes,” Diabetes, Obesity & Metabolism 22, no. 8 (2020): 1417–1424, 10.1111/dom.14050. [DOI] [PubMed] [Google Scholar]
  • 48. Van Bloemendaal L., IJzerman R. G., Ten Kulve J. S., et al., “GLP‐1 Receptor Activation Modulates Appetite‐ and Reward‐Related Brain Areas in Humans,” Diabetes 63, no. 12 (2014): 4186–4196, 10.2337/db14-0849. [DOI] [PubMed] [Google Scholar]
  • 49. Gabe M. B. N., Breitschaft A., Knop F. K., et al., “Effect of Oral Semaglutide on Energy Intake, Appetite, Control of Eating and Gastric Emptying in Adults Living With Obesity: A Randomized Controlled Trial,” Diabetes, Obesity & Metabolism 26, no. 10 (2024): 4480–4489, 10.1111/dom.15802. [DOI] [PubMed] [Google Scholar]
  • 50. Jensterle M., DeVries J. H., Battelino T., Battelino S., Yildiz B., and Janez A., “Glucagon‐Like Peptide‐1, a Matter of Taste?,” Reviews in Endocrine & Metabolic Disorders 22, no. 4 (2021): 763–775, 10.1007/s11154-020-09609-x. [DOI] [PubMed] [Google Scholar]
  • 51. Martin C., Passilly‐Degrace P., Chevrot M., et al., “Lipid‐Mediated Release of GLP‐1 by Mouse Taste Buds From Circumvallate Papillae: Putative Involvement of GPR120 and Impact on Taste Sensitivity,” Journal of Lipid Research 53, no. 11 (2012): 2256–2265, 10.1194/jlr.M025874. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52. Shin Y., Martin B., Golden E., et al., “Modulation of Taste Sensitivity by GLP‐1 Signaling,” Journal of Neurochemistry 106, no. 1 (2008): 455–463, 10.1111/j.1471-4159.2008.05397.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53. Takai S., Watanabe Y., Sanematsu K., et al., “Effects of Insulin Signaling on Mouse Taste Cell Proliferation,” PLoS ONE 14, no. 11 (2019): e0225190, 10.1371/journal.pone.0225190. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54. Doyle M. E., Fiori J. L., Gonzalez Mariscal I., et al., “Insulin Is Transcribed and Translated in Mammalian Taste Bud Cells,” Endocrinology 159, no. 9 (2018): 3331–3339, 10.1210/en.2018-00534. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55. Shigemura N., Takai S., Hirose F., Yoshida R., Sanematsu K., and Ninomiya Y., “Expression of Renin‐Angiotensin System Components in the Taste Organ of Mice,” Nutrients 11, no. 9 (2019): 2251, 10.3390/nu11092251. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56. Settle R. G., “Suprathreshold Glucose and Fructose Sensitivity in Individuals With Different Family Histories of Non‐Insulin‐Dependent Diabetes Mellitus,” Chemical Senses 6, no. 4 (1981): 435–443, 10.1093/chemse/6.4.435. [DOI] [Google Scholar]
  • 57. Takai S., Yasumatsu K., Inoue M., et al., “Glucagon‐Like Peptide‐1 Is Specifically Involved in Sweet Taste Transmission,” FASEB Journal 29, no. 6 (2015): 2268–2280, 10.1096/fj.14-265355. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58. Martin B., Dotson C. D., Shin Y., et al., “Modulation of Taste Sensitivity by GLP‐1 Signaling in Taste Buds,” Annals of the New York Academy of Sciences 1170, no. 1 (2009): 98–101, 10.1111/j.1749-6632.2009.03920.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59. Le Roux C. W., Bueter M., Theis N., et al., “Gastric Bypass Reduces Fat Intake and Preference,” American Journal of Physiology. Regulatory, Integrative and Comparative Physiology 301, no. 4 (2011): R1057–R1066, 10.1152/ajpregu.00139.2011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60. Ozdener M. H., Subramaniam S., Sundaresan S., et al., “CD36‐ and GPR120‐Mediated Ca2+ Signaling in Human Taste Bud Cells Mediates Differential Responses to Fatty Acids and Is Altered in Obese Mice,” Gastroenterology 146, no. 4 (2014): 995–1005.e5, 10.1053/j.gastro.2014.01.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61. Asmar A., Cramon P. K., Asmar M., et al., “Increased Oral Sodium Chloride Intake in Humans Amplifies Selectively Postprandial GLP‐1 but Not GIP, CCK, and Gastrin in Plasma,” Physiological Reports 8, no. 15 (2020): e14519, 10.14814/phy2.14519. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62. McKay N. J. and Daniels D., “Glucagon‐Like Peptide‐1 Receptor Agonist Administration Suppresses Both Water and Saline Intake in Rats,” Journal of Neuroendocrinology 25, no. 10 (2013): 929–938, 10.1111/jne.12086. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63. Khan R. and Doty R. L., “GLP‐1 Receptor Agonists Significantly Impair Taste Function,” Physiology & Behavior 291 (2025): 114793, 10.1016/j.physbeh.2024.114793. [DOI] [PubMed] [Google Scholar]
  • 64. Brindisi M. C., Brondel L., Meillon S., et al., “Proof of Concept: Effect of GLP‐1 Agonist on Food Hedonic Responses and Taste Sensitivity in Poor Controlled Type 2 Diabetic Patients,” Diabetes and Metabolic Syndrome: Clinical Research & Reviews 13, no. 4 (2019): 2489–2494, 10.1016/j.dsx.2019.06.021. [DOI] [PubMed] [Google Scholar]
  • 65. Gabery S., Salinas C. G., Paulsen S. J., et al., “Semaglutide Lowers Body Weight in Rodents via Distributed Neural Pathways,” JCI Insight 5, no. 6 (2020): e133429, 10.1172/jci.insight.133429. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66. Ketterer C., Heni M., Thamer C., Herzberg‐Schäfer S. A., Häring H. U., and Fritsche A., “Acute, Short‐Term Hyperinsulinemia Increases Olfactory Threshold in Healthy Subjects,” International Journal of Obesity 35, no. 8 (2011): 1135–1138, 10.1038/ijo.2010.251. [DOI] [PubMed] [Google Scholar]
  • 67. Edwin Thanarajah S., Hoffstall V., Rigoux L., Hanssen R., Brüning J. C., and Tittgemeyer M., “The Role of Insulin Sensitivity and Intranasally Applied Insulin on Olfactory Perception,” Scientific Reports 9, no. 1 (2019): 7222, 10.1038/s41598-019-43693-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68. Boesveldt S. and De Graaf K., “The Differential Role of Smell and Taste for Eating Behavior,” Perception 46, no. 3–4 (2017): 307–319, 10.1177/0301006616685576. [DOI] [PubMed] [Google Scholar]
  • 69. Spence C., “Just How Much of What We Taste Derives From the Sense of Smell?,” Flavour 4, no. 1 (2015): 30, 10.1186/s13411-015-0040-2. [DOI] [Google Scholar]
  • 70. Montaner M., Denom J., Simon V., et al., “A Neuronal Circuit Driven by GLP‐1 in the Olfactory Bulb Regulates Insulin Secretion,” Nature Communications 15 (2024):6941,  10.1038/s41467-024-51076-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71. Palouzier‐Paulignan B., Lacroix M. C., Aime P., et al., “Olfaction Under Metabolic Influences,” Chemical Senses 37, no. 9 (2012): 769–797, 10.1093/chemse/bjs059. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72. Tong J., Mannea E., Aimé P., et al., “Ghrelin Enhances Olfactory Sensitivity and Exploratory Sniffing in Rodents and Humans,” Journal of Neuroscience 31, no. 15 (2011): 5841–5846, 10.1523/JNEUROSCI.5680-10.2011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73. Baskin D. G., Porte D., Guest K., and Dorsa D. M., “Regional Concentrations of Insulin in the Rat Brain*,” Endocrinology 112, no. 3 (1983): 898–903, 10.1210/endo-112-3-898. [DOI] [PubMed] [Google Scholar]
  • 74. Marks J. L., Porte D., Stahl W. L., and Baskin D. G., “Localization of Insulin Receptor mRNA in Rat Brain by In Situ Hybridization,” Endocrinology 127, no. 6 (1990): 3234–3236, 10.1210/endo-127-6-3234. [DOI] [PubMed] [Google Scholar]
  • 75. Zhang Z., Zhang B., Wang X., et al., “Olfactory Dysfunction Mediates Adiposity in Cognitive Impairment of Type 2 Diabetes: Insights From Clinical and Functional Neuroimaging Studies,” Diabetes Care 42, no. 7 (2019): 1274–1283, 10.2337/dc18-2584. [DOI] [PubMed] [Google Scholar]
  • 76. Farkas E., Szilvásy‐Szabó A., Ruska Y., et al., “Distribution and Ultrastructural Localization of the Glucagon‐Like Peptide‐1 Receptor (GLP‐1R) in the Rat Brain,” Brain Structure & Function 226, no. 1 (2021. Jan): 225–245, 10.1007/s00429-020-02189-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77. Thiebaud N., Llewellyn‐Smith I. J., Gribble F., Reimann F., Trapp S., and Fadool D. A., “The Incretin Hormone Glucagon‐Like Peptide 1 Increases Mitral Cell Excitability by Decreasing Conductance of a Voltage‐Dependent Potassium Channel,” Journal of Physiology 594, no. 10 (2016): 2607–2628, 10.1113/JP272322. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78. Thiebaud N., Gribble F., Reimann F., Trapp S., and Fadool D. A., “A Unique Olfactory Bulb Microcircuit Driven by Neurons Expressing the Precursor to Glucagon‐Like Peptide 1,” Scientific Reports 9, no. 1 (2019): 15542, 10.1038/s41598-019-51880-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79. Feldmesser E., Olender T., Khen M., Yanai I., Ophir R., and Lancet D., “Widespread Ectopic Expression of Olfactory Receptor Genes,” BMC Genomics 7, no. 1 (2006): 121, 10.1186/1471-2164-7-121. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80. Pluznick J. L., Protzko R. J., Gevorgyan H., et al., “Olfactory Receptor Responding to Gut Microbiota‐Derived Signals Plays a Role in Renin Secretion and Blood Pressure Regulation,” Proceedings of the National Academy of Sciences 110, no. 11 (2013): 4410–4415, 10.1073/pnas.1215927110. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81. Zhang S., Li L., and Li H., “Role of Ectopic Olfactory Receptors in Glucose and Lipid Metabolism,” British Journal of Pharmacology 178, no. 24 (2021): 4792–4807, 10.1111/bph.15666. [DOI] [PubMed] [Google Scholar]
  • 82. Wang Y., Geng R., Zhao Y., et al., “The Gut Odorant Receptor and Taste Receptor Make Sense of Dietary Components: A Focus on Gut Hormone Secretion,” Critical Reviews in Food Science and Nutrition 64, no. 20 (2024): 6975–6989, 10.1080/10408398.2023.2177610. [DOI] [PubMed] [Google Scholar]
  • 83. Han Y. E., Kang C. W., Oh J. H., et al., “Olfactory Receptor OR51E1 Mediates GLP‐1 Secretion in Human and Rodent Enteroendocrine L Cells,” Journal of the Endocrine Society 2, no. 11 (2018): 1251–1258, 10.1210/js.2018-00165. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84. McCarthy T., Bruen C., O'Halloran F., et al., “Aroma Compound Diacetyl Suppresses Glucagon‐Like Peptide‐1 Production and Secretion in STC‐1 Cells,” Food Chemistry 228 (2017): 35–42, 10.1016/j.foodchem.2017.01.104. [DOI] [PubMed] [Google Scholar]
  • 85. Cheng H., Zhang Z., Zhang B., et al., “Enhancement of Impaired Olfactory Neural Activation and Cognitive Capacity by Liraglutide, but Not Dapagliflozin or Acarbose, in Patients With Type 2 Diabetes: A 16‐Week Randomized Parallel Comparative Study,” Diabetes Care 45, no. 5 (2022): 1201–1210, 10.2337/dc21-2064. [DOI] [PubMed] [Google Scholar]
  • 86. Zanchi D., Depoorter A., Egloff L., et al., “The Impact of Gut Hormones on the Neural Circuit of Appetite and Satiety: A Systematic Review,” Neuroscience and Biobehavioral Reviews 80 (2017): 457–475, 10.1016/j.neubiorev.2017.06.013 PubMed PMID: 28669754. [DOI] [PubMed] [Google Scholar]
  • 87. De Silva A., Salem V., Long C. J., et al., “The Gut Hormones PYY 3‐36 and GLP‐1 7‐36 Amide Reduce Food Intake and Modulate Brain Activity in Appetite Centers in Humans,” Cell Metabolism 14, no. 5 (2011): 700–706, 10.1016/j.cmet.2011.09.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88. Huang J., Wang C., Zhang H. B., Zheng H., Huang T., and Di J. Z., “Neuroimaging and Neuroendocrine Insights Into Food Cravings and Appetite Interventions in Obesity,” Psychoradiology 3 (2023): kkad023, 10.1093/psyrad/kkad023. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89. Warner J. O., “Food and Behaviour: Allergy, Intolerence or Aversion,” Pediatric Allergy and Immunology 4, no. 3 (1993): 112–116, 10.1111/j.1399-3038.1993.tb00078.x. [DOI] [PubMed] [Google Scholar]
  • 90. Clouard C., Meunier‐Salaün M. C., and Val‐Laillet D., “Food Preferences and Aversions in Human Health and Nutrition: How Can Pigs Help the Biomedical Research?,” Animal 6, no. 1 (2012): 118–136, 10.1017/S1751731111001315. [DOI] [PubMed] [Google Scholar]
  • 91. Kakoschke N., Henry B. A., Cowley M. A., and Lee K., “Tackling Cravings in Medical Weight Management: An Update on Pathophysiology and an Integrated Approach to Treatment,” Nutrients 16, no. 19 (2024): 3238, 10.3390/nu16193238. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92. Boswell R. G. and Kober H., “Food Cue Reactivity and Craving Predict Eating and Weight Gain: A Meta‐Analytic Review,” Obesity Reviews 17, no. 2 (2016): 159–177, 10.1111/obr.12354. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93. Badulescu S., Tabassum A., Le G. H., et al., “Glucagon‐Like Peptide 1 Agonist and Effects on Reward Behaviour: A Systematic Review,” Physiology & Behavior 283 (2024): 114622, 10.1016/j.physbeh.2024.114622. [DOI] [PubMed] [Google Scholar]
  • 94. Eren‐Yazicioglu C. Y., Yigit A., Dogruoz R. E., and Yapici‐Eser H., “Can GLP‐1 Be a Target for Reward System Related Disorders? A Qualitative Synthesis and Systematic Review Analysis of Studies on Palatable Food, Drugs of Abuse, and Alcohol,” Frontiers in Behavioral Neuroscience 14 (2020): 614884, 10.3389/fnbeh.2020.614884. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95. Hernandez N. S. and Schmidt H. D., “Central GLP‐1 Receptors: Novel Molecular Targets for Cocaine Use Disorder,” Physiology & Behavior 206 (2019): 93–105, 10.1016/j.physbeh.2019.03.026. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96. Zhu C., Li H., Kong X., Wang Y., Sun T., and Wang F., “Possible Mechanisms Underlying the Effects of Glucagon‐Like Peptide‐1 Receptor Agonist on Cocaine Use Disorder,” Frontiers in Pharmacology 13 (2022): 819470, 10.3389/fphar.2022.819470. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 97. Dallman M. F., Pecoraro N., Akana S. F., et al., “Chronic Stress and Obesity: A New View of “Comfort Food.”,” Proceedings of the National Academy of Sciences of the United States of America 30, no. 20 (2003): 11696–11701, 10.1073/pnas.1934666100. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 98. Huang K. P., Acosta A. A., Ghidewon M. Y., et al., “Dissociable Hindbrain GLP1R Circuits for Satiety and Aversion,” Nature 632 (2024): 585–593, 10.1038/s41586-024-07685-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 99. van Dijk G. and Thiele T. E., “Glucagon‐Like Peptide‐1 (7–36) Amide: A Central Regulator of Satiety and Interoceptive Stress,” Neuropeptides 33, no. 5 (1999): 406–414, 10.1054/npep.1999.0053. [DOI] [PubMed] [Google Scholar]
  • 100. Bae J. H., Choi H. J., Cho K. I. K., Kim L. K., Kwon J. S., and Cho Y. M., “Glucagon‐Like Peptide‐1 Receptor Agonist Differentially Affects Brain Activation in Response to Visual Food Cues in Lean and Obese Individuals With Type 2 Diabetes Mellitus,” Diabetes and Metabolism Journal 44, no. 2 (2020): 248–259, 10.4093/dmj.2019.0018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 101. Wharton S., Batterham R. L., Bhatta M., et al., “Two‐Year Effect of Semaglutide 2.4 mg on Control of Eating in Adults With Overweight/Obesity: Step 5,” Obesity 31, no. 3 (2023): 703–715, 10.1002/oby.23673. [DOI] [PubMed] [Google Scholar]
  • 102. Chambers K. C., “Conditioned Taste Aversions,” World Journal of Otorhinolaryngology ‐ Head and Neck Surgery 4, no. 1 (2018): 92–100, 10.1016/j.wjorl.2018.02.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 103. Houben K. and Jansen A., “When Food Becomes an Obsession: Overweight Is Related to Food‐Related Obsessive‐Compulsive Behavior,” Journal of Health Psychology 24, no. 8 (2019): 1145–1152, 10.1177/1359105316687632. [DOI] [PubMed] [Google Scholar]
  • 104. Barnes R. D. and Tantleff‐Dunn S., “Food for Thought: Examining the Relationship Between Food Thought Suppression and Weight‐Related Outcomes,” Eating Behaviors 11, no. 3 (2010): 175–179, 10.1016/j.eatbeh.2010.03.001. [DOI] [PubMed] [Google Scholar]
  • 105. Stanton R. A., “Food Retailers and Obesity,” Current Obesity Reports 4, no. 1 (2015): 54–59, 10.1007/s13679-014-0137-4. [DOI] [PubMed] [Google Scholar]
  • 106. Pineda E., Stockton J., Scholes S., Lassale C., and Mindell J. S., “Food Environment and Obesity: A Systematic Review and Meta‐Analysis,” BMJ Nutrition, Prevention & Health 7, no. 1 (2024): 204–211, 10.1136/bmjnph-2023-000663. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 107. Schachter S., “Some Extraordinary Facts About Obese Humans and Rats,” American Psychologist 26, no. 2 (1971): 129–144, 10.1037/h0030817. [DOI] [PubMed] [Google Scholar]
  • 108. Hayashi D., Edwards C., Emond J. A., et al., “What Is Food Noise? A Conceptual Model of Food Cue Reactivity,” Nutrients 17, no. 22 (2023): 4809, 10.3390/nu15224809. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 109. Herman R. J. and Schmidt H. D., “Targeting GLP‐1 Receptors to Reduce Nicotine Use Disorder: Preclinical and Clinical Evidence,” Physiology & Behavior 281 (2024): 114565, 10.1016/j.physbeh.2024.114565. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 110. Diktas H. E., Cardel M. I., Foster G. D., et al., “Development and Validation of the Food Noise Questionnaire,” Obesity 33, no. 2 (2025): 289–297, 10.1002/oby.24216. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 111. Sun W. and Kober H., “Regulating Food Craving: From Mechanisms to Interventions,” Physiology & Behavior 222 (2020): 112878, 10.1016/j.physbeh.2020.112878. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 112. Bryant E. J., King N. A., and Blundell J. E., “Disinhibition: Its Effects on Appetite and Weight Regulation,” Obesity Reviews 9, no. 5 (2008): 409–419, 10.1111/j.1467-789X.2007.00426.x. [DOI] [PubMed] [Google Scholar]
  • 113. Bond M., McDowell A., and Wilkinson J., “The Measurement of Dietary Restraint, Disinhibition and Hunger: An Examination of the Factor Structure of the Three Factor Eating Questionnaire (TFEQ),” International Journal of Obesity 25, no. 6 (2001): 900–906, 10.1038/sj.ijo.0801611. [DOI] [PubMed] [Google Scholar]
  • 114. Young L. J., “Turning Down the Food Noise,” Scientific American 33, no. 4s (2024): 36, 10.1038/scientificamerican072024-oPr5Gvp2GiG52cVWgx0tT. [DOI] [PubMed] [Google Scholar]
  • 115. Resnick B., “Is Ozempic an Anti‐Desire Drug?,” Vox, https://www.vox.com/science/24086968/glp‐1‐ozempic‐semaglutide‐craving‐desire‐science‐wanting‐liking‐opioids‐alcohol. [Google Scholar]
  • 116. Quddos F., Hubshman Z., Tegge A., et al., “Semaglutide and Tirzepatide Reduce Alcohol Consumption in Individuals With Obesity,” Scientific Reports 13, no. 1 (2023): 20998, 10.1038/s41598-023-48267-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 117. Apperley L., Parkinson J., and Senniappan S., “Liraglutide Treatment Improves Glycaemic Dysregulation, Body Composition, Cardiometabolic Variables and Uncontrolled Eating Behaviour in Adolescents With Severe Obesity,” Journal of Clinical Research in Pediatric Endocrinology 17 (2024): 68–75, 10.4274/jcrpe.galenos.2024.2023-10-10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 118. De Boer S. A., Lefrandt J. D., Petersen J. F., Boersma H. H., Mulder D. J., and Hoogenberg K., “The Effects of GLP‐1 Analogues in Obese, Insulin‐Using Type 2 Diabetes in Relation to Eating Behaviour,” International Journal of Clinical Pharmacy 38, no. 1 (2016): 144–151, 10.1007/s11096-015-0219-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 119. Fujishima Y., Maeda N., Inoue K., et al., “Efficacy of Liraglutide, a Glucagon‐Like Peptide‐1 (GLP‐1) Analogue, on Body Weight, Eating Behavior, and Glycemic Control, in Japanese Obese Type 2 Diabetes,” Cardiovascular Diabetology 11, no. 1 (2012): 107, 10.1186/1475-2840-11-107. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 120. Hironaka J., Ushigome E., Kondo Y., et al., “Changes in Food Preferences After Oral Semaglutide Administration in Japanese Patients With Type 2 Diabetes: KAMOGAWA‐DM Cohort,” Diabetes & Vascular Disease Research 22, no. 1 (2025): 14791641251318309, 10.1177/14791641251318309. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 121. Inoue K., Maeda N., Kashine S., et al., “Short‐Term Effects of Liraglutide on Visceral Fat Adiposity, Appetite, and Food Preference: A Pilot Study of Obese Japanese Patients With Type 2 Diabetes,” Cardiovascular Diabetology 10, no. 1 (2011): 109, 10.1186/1475-2840-10-109. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 122. Masaki T., Ozeki Y., Yoshida Y., et al., “Glucagon‐Like Peptide‐1 Receptor Agonist Semaglutide Improves Eating Behavior and Glycemic Control in Japanese Obese Type 2 Diabetic Patients,” Metabolites 12, no. 2 (2022): 147, 10.3390/metabo12020147. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 123. Nicolau J., Pujol A., Tofé S., Bonet A., and Gil A., “Short Term Effects of Semaglutide on Emotional Eating and Other Abnormal Eating Patterns Among Subjects Living With Obesity,” Physiology & Behavior 257 (2022): 113967, 10.1016/j.physbeh.2022.113967. [DOI] [PubMed] [Google Scholar]
  • 124. Suzuki T., Sato T., Tanaka M., et al., “Tirzepatide Ameliorates Eating Behaviors Regardless of Prior Exposure to Glucagon‐Like Peptide Receptor Agonists in Japanese Patients With Type 2 Diabetes Mellitus,” Journal of Diabetes and Its Complications 38, no. 7 (2024): 108779, 10.1016/j.jdiacomp.2024.108779. [DOI] [PubMed] [Google Scholar]
  • 125. Baba Y., Watanabe S., Hayashi S., et al., “Semaglutide Improves Treatment Satisfaction and Eating Behaviour in Japanese Patients With Type 2 Diabetes Mellitus,” Diabetes, Obesity & Metabolism 26, no. 10 (2024): 4787–4790, 10.1111/dom.15823. [DOI] [PubMed] [Google Scholar]
  • 126. Da Porto A., Casarsa V., Colussi G., Catena C., Cavarape A., and Sechi L., “Dulaglutide Reduces Binge Episodes in Type 2 Diabetic Patients With Binge Eating Disorder: A Pilot Study,” Diabetes and Metabolic Syndrome: Clinical Research & Reviews 14, no. 4 (2020): 289–292, 10.1016/j.dsx.2020.03.009. [DOI] [PubMed] [Google Scholar]
  • 127. Chao A. M., Wadden T. A., Walsh O. A., et al., “Effects of Liraglutide and Behavioral Weight Loss on Food Cravings, Eating Behaviors, and Eating Disorder Psychopathology,” Obesity 27, no. 12 (2019): 2005–2010, 10.1002/oby.22653. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 128. Van Ruiten C. C., Ten Kulve J. S., Van Bloemendaal L., Nieuwdorp M., Veltman D. J., and IJzerman R. G., “Eating Behavior Modulates the Sensitivity to the Central Effects of GLP‐1 Receptor Agonist Treatment: A Secondary Analysis of a Randomized Trial,” Psychoneuroendocrinology 137 (2022): 105667, 10.1016/j.psyneuen.2022.105667. [DOI] [PubMed] [Google Scholar]
  • 129. Madsbad S. and Holst J. J., “The Promise of Glucagon‐Like Peptide 1 Receptor Agonists (GLP‐1RA) for the Treatment of Obesity: A Look at Phase 2 and 3 Pipelines,” Expert Opinion on Investigational Drugs 34, no. 3 (2025): 197–215, 10.1080/13543784.2025.2472408. [DOI] [PubMed] [Google Scholar]
  • 130. Dhurandhar E. J., Maki K. C., Dhurandhar N. V., et al., “Development and Rigorous Multistep Validation of a Psychometric Tool to Measure Food Noise,” Appetite 217 (2026): 108339, 10.1016/j.appet.2025.108339. [DOI] [PubMed] [Google Scholar]
  • 131. LaCaille R. A., Hooker S. A., and LaCaille L. J., “Using Self‐Determination Theory to Understand Eating Behaviors and Weight Change in Emerging Adults,” Eating Behaviors 39 (2020): 101433, 10.1016/j.eatbeh.2020.101433. [DOI] [PubMed] [Google Scholar]
  • 132. Wickham J. and Aocn R., “Secondary Analysis Research,” Journal of the Advanced Practitioner in Oncology 10, no. 4 (2019): 395–400, 10.6004/jadpro.2019.10.4.7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 133. Luijken K., Dekkers O. M., Rosendaal F. R., and Groenwold R. H. H., “Exploratory Analyses in Aetiologic Research and Considerations for Assessment of Credibility: Mini‐Review of Literature,” BMJ (Clinical Research ed.) 377 (2022): e070113, 10.1136/bmj-2021-070113. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 134. Horowitz M., Jones K. L., Rayner C. K., and Read N. W., “‘Gastric’ Hypoglycaemia – an Important Concept in Diabetes Management,” Neurogastroenterology and Motility 18, no. 6 (2006): 405–407, 10.1111/j.1365-2982.2006.00804.x. [DOI] [PubMed] [Google Scholar]
  • 135. Schirra J., “Endogenous Glucagon‐Like Peptide 1 Controls Endocrine Pancreatic Secretion and Antro‐Pyloro‐Duodenal Motility in Humans,” Gut 1, no. 2 (2006): 243–251, 10.1136/gut.2004.059741. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 136. Schirra J., Nicolaus M., Woerle H. J., Struckmeier C., Katschinski M., and Göke B., “GLP‐1 Regulates Gastroduodenal Motility Involving Cholinergic Pathways,” Neurogastroenterology and Motility 21, no. 6 (2009): 609, 10.1111/j.1365-2982.2008.01246.x. [DOI] [PubMed] [Google Scholar]
  • 137. Deane A. M., Nguyen N. Q., Stevens J. E., et al., “Endogenous Glucagon‐Like Peptide‐1 Slows Gastric Emptying in Healthy Subjects, Attenuating Postprandial Glycemia,” Journal of Clinical Endocrinology and Metabolism 95, no. 1 (2010): 215–221, 10.1210/jc.2009-1503. [DOI] [PubMed] [Google Scholar]
  • 138. Hobai I. A., “Gastric Motility Assays May Not Capture the Entire Clinical Picture in Patients Using Glucagon‐Like Peptide‐1 Receptor Agonists,” American Journal of Gastroenterology 120, no. 2 (2025): 482, 10.14309/ajg.0000000000002949. [DOI] [PubMed] [Google Scholar]
  • 139. Horowitz M., Flint A., Jones K. L., et al., “Effect of the Once‐Daily Human GLP‐1 Analogue Liraglutide on Appetite, Energy Intake, Energy Expenditure and Gastric Emptying in Type 2 Diabetes,” Diabetes Research and Clinical Practice 97, no. 2 (2012): 258–266, 10.1016/j.diabres.2012.02.016. [DOI] [PubMed] [Google Scholar]
  • 140. Näslund E., Bogefors J., Skogar S., et al., “GLP‐1 Slows Solid Gastric Emptying and Inhibits Insulin, Glucagon, and PYY Release in Humans,” American Journal of Physiology. Regulatory, Integrative and Comparative Physiology 277, no. 3 (1999): R910–R916, 10.1152/ajpregu.1999.277.3.R910. [DOI] [PubMed] [Google Scholar]
  • 141. Jalleh R. J., Marathe C. S., Rayner C. K., et al., “Physiology and Pharmacology of Effects of GLP‐1‐Based Therapies on Gastric, Biliary and Intestinal Motility,” Endocrinology 166, no. 1 (2024): bqae155, 10.1210/endocr/bqae155. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 142. Jalleh R., Pham H., Marathe C. S., et al., “Acute Effects of Lixisenatide on Energy Intake in Healthy Subjects and Patients With Type 2 Diabetes: Relationship to Gastric Emptying and Intragastric Distribution,” Nutrients 12, no. 7 (2020): 1962, 10.3390/nu12071962. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 143. Hiramoto B., McCarty T. R., Lodhia N. A., et al., “Quantified Metrics of Gastric Emptying Delay by Glucagon‐Like Peptide‐1 Agonists: A Systematic Review and Meta‐Analysis With Insights for Periprocedural Management,” American Journal of Gastroenterology 119, no. 6 (2024): 1126–1140, 10.14309/ajg.0000000000002820. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 144. Nauck M. A., Quast D. R., Wefers J., and Pfeiffer A. F. H., “The Evolving Story of Incretins (GIP and GLP ‐1) in Metabolic and Cardiovascular Disease: A Pathophysiological Update,” Diabetes, Obesity & Metabolism 23, no. S3 (2021): 5–29, 10.1111/dom.14496. [DOI] [PubMed] [Google Scholar]
  • 145. Thazhath S. S., Wu T., Bound M. J., et al., “Administration of Resveratrol for 5 wk Has No Effect on Glucagon‐Like Peptide 1 Secretion, Gastric Emptying, or Glycemic Control in Type 2 Diabetes: A Randomized Controlled Trial,” American Journal of Clinical Nutrition 103, no. 1 (2016): 66–70, 10.3945/ajcn.115.117440. [DOI] [PubMed] [Google Scholar]
  • 146. Hellström P. M., Näslund E., Edholm T., et al., “GLP‐1 Suppresses Gastrointestinal Motility and Inhibits the Migrating Motor Complex in Healthy Subjects and Patients With Irritable Bowel Syndrome,” Neurogastroenterology and Motility 20, no. 6 (2008): 649–659, 10.1111/j.1365-2982.2007.01079.x. [DOI] [PubMed] [Google Scholar]
  • 147. Little T. J., Pilichiewicz A. N., Russo A., et al., “Effects of Intravenous Glucagon‐Like Peptide‐1 on Gastric Emptying and Intragastric Distribution in Healthy Subjects: Relationships With Postprandial Glycemic and Insulinemic Responses,” Journal of Clinical Endocrinology and Metabolism 91, no. 5 (2006): 1916–1923, 10.1210/jc.2005-2220. [DOI] [PubMed] [Google Scholar]
  • 148. Näslund E., Gutniak M., Skogar S., Rössner S., and Hellström P. M., “Glucagon‐Like Peptide 1 Increases the Period of Postprandial Satiety and Slows Gastric Emptying in Obese Men,” American Journal of Clinical Nutrition 68, no. 3 (1998): 525–530, 10.1093/ajcn/68.3.525. [DOI] [PubMed] [Google Scholar]
  • 149. Shankar A., Sharma A., Vinas A., and Chilton R. J., “GLP‐1 Receptor Agonists and Delayed Gastric Emptying: Implications for Invasive Cardiac Interventions and Surgery,” Cardiovascular Endocrinology & Metabolism 14, no. 1 (2024): 10.1097/XCE.0000000000000321. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 150. Blundell J. E. and Naslund E., “Glucagon‐Like Peptide‐1, Satiety and Appetite Control,” British Journal of Nutrition 81, no. 4 (1999): 259–260, 10.1017/S0007114599000483. [DOI] [PubMed] [Google Scholar]
  • 151. Wettergren A., Wojdemann M., Meisner S., Stadil F., and Holst J. J., “The Inhibitory Effect of Glucagon‐Like Peptide‐1 (GLP‐1) 7‐36 Amide on Gastric Acid Secretion in Humans Depends on an Intact Vagal Innervation,” Gut 40, no. 5 (1997): 597–601, 10.1136/gut.40.5.597. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 152. Jones K. L., Horowitz M., Carney B. I., Wishart J. M., Guha S., and Green L., “Gastric Emptying in Early Noninsulin‐Dependent Diabetes Mellitus,” Journal of Nuclear Medicine: Official Publication, Society of Nuclear Medicine 37, no. 10 (1996): 1643–1648. [PubMed] [Google Scholar]
  • 153. Witte A. B., Grybäck P., Jacobsson H., et al., “Involvement of Endogenous Glucagon‐Like Peptide‐1 in Regulation of Gastric Motility and Pancreatic Endocrine Secretion,” Scandinavian Journal of Gastroenterology 46, no. 4 (2011): 428–435, 10.3109/00365521.2010.537680. [DOI] [PubMed] [Google Scholar]
  • 154. Gutzwiller J. P., Göke B., Drewe J., et al., “Glucagon‐Like Peptide‐1: A Potent Regulator of Food Intake in Humans,” Gut 44, no. 1 (1999): 81–86, 10.1136/gut.44.1.81. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 155. Kong M. F. and Horowitz M., “Gastric Emptying in Diabetes Mellitus: Relationship to Blood‐Glucose Control,” Clinics in Geriatric Medicine 15, no. 2 (1999): 321–338 PubMed PMID: 10339636. [PubMed] [Google Scholar]
  • 156. Camilleri M., Carlson P., and Dilmaghani S., “Prevalence and Variations in Gastric Emptying Delay in Response to GLP ‐1 Receptor Agonist Liraglutide,” Obesity 32, no. 2 (2024): 232–233, 10.1002/oby.23941. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 157. Watson L. E., Xie C., Wang X., et al., “Gastric Emptying in Patients With Well‐Controlled Type 2 Diabetes Compared With Young and Older Control Subjects Without Diabetes,” Journal of Clinical Endocrinology and Metabolism 104, no. 8 (2019): 3311–3319, 10.1210/jc.2018-02736. [DOI] [PubMed] [Google Scholar]
  • 158. Xiang C., Sun Y., Luo Y., et al., “Gastric Emptying Is Slower in Women Than Men With Type 2 Diabetes and Impacts on Postprandial Glycaemia,” Diabetes, Obesity & Metabolism 26, no. 8 (2024): 3119–3127, 10.1111/dom.15635. [DOI] [PubMed] [Google Scholar]
  • 159. Bartholomé R., Salden B., Vrolijk M. F., et al., “Paracetamol as a Post Prandial Marker for Gastric Emptying, A Food‐Drug Interaction on Absorption,” PLoS ONE 10, no. 9 (2015): e0136618, 10.1371/journal.pone.0136618. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 160. Charpentier J., Briand F., Lelouvier B., et al., “Liraglutide Targets the Gut Microbiota and the Intestinal Immune System to Regulate Insulin Secretion,” Acta Diabetologica 58, no. 7 (2021): 881–897, 10.1007/s00592-020-01657-8 PubMed PMID: 33723651. [DOI] [PubMed] [Google Scholar]
  • 161. Liang L., Su X., Guan Y., Wu B., Zhang X., and Nian X., “Correlation Between Intestinal Flora and GLP‐1 Receptor Agonist Dulaglutide in Type 2 Diabetes Mellitus Treatment‐A Preliminary Longitudinal Study,” IScience 27, no. 5 (2024): 109784, 10.1016/j.isci.2024.109784. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 162. Madsen M. S. A., Holm J. B., Pallejà A., et al., “Metabolic and Gut Microbiome Changes Following GLP‐1 or Dual GLP‐1/GLP‐2 Receptor Agonist Treatment in Diet‐Induced Obese Mice,” Scientific Reports 9, no. 30 (2019): 15582, 10.1038/s41598-019-52103-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 163. Dong C., Zhou B., Zhao B., et al., “GLP‐1RAs Attenuated Obesity and Reversed Leptin Resistance Partly via Activating the Microbiome‐Derived Inosine/A2A Pathway,” Acta Pharmaceutica Sinica B 15, no. 2 (2025): 1023–1038, 10.1016/j.apsb.2024.12.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 164. Bayer C., M.B.N G., Svendsen B., Dragsted L. O., Rosenkilde M. M., and Holst J. J., “The Impact of Short‐Chain Fatty Acids on GLP‐1 and PYY Secretion From the Isolated Perfused Rat Colon,” American Journal of Physiology. Gastrointestinal and Liver Physiology 315, no. 1 (2018): G53–G65, 10.1152/ajpgi.00346.2017. [DOI] [PubMed] [Google Scholar]
  • 165. Tolhurst G., Heffron H., Lam Y. S., et al., “Short‐Chain Fatty Acids Stimulate Glucagon‐Like Peptide‐1 Secretion via the G‐Protein‐Coupled Receptor FFAR2,” Diabetes 61, no. 2 (2012): 364–371, 10.2337/db11-1019. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 166. Chambers E. S., Viardot A., Psichas A., et al., “Effects of Targeted Delivery of Propionate to the Human Colon on Appetite Regulation, Body Weight Maintenance and Adiposity in Overweight Adults,” Gut 64, no. 11 (2015): 1744–1754, 10.1136/gutjnl-2014-307913. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 167. Calderon G., McRae A., Rievaj J., et al., “Ileo‐Colonic Delivery of Conjugated Bile Acids Improves Glucose Homeostasis via Colonic GLP‐1‐Producing Enteroendocrine Cells in Human Obesity and Diabetes,” eBioMedicine 55 (2020): 102759, 10.1016/j.ebiom.2020.102759. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 168. Brønden A., Albér A., Rohde U., et al., “The Bile Acid‐Sequestering Resin Sevelamer Eliminates the Acute GLP‐1 Stimulatory Effect of Endogenously Released Bile Acids in Patients With Type 2 Diabetes,” Diabetes, Obesity & Metabolism 20, no. 2 (2018): 362–369, 10.1111/dom.13080 PubMed PMID: 28786523. [DOI] [PubMed] [Google Scholar]
  • 169. Zhang Q., Xiao X., Zheng J., et al., “Featured Article: Structure Moderation of Gut Microbiota in Liraglutide‐Treated Diabetic Male Rats,” Experimental Biology and Medicine 243, no. 1 (2018): 34–44, 10.1177/1535370217743765. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 170. Yang Q., Deng L., Feng C., and Wen J., “Comparing the Effects of Empagliflozin and Liraglutide on Lipid Metabolism and Intestinal Microflora in Diabetic Mice,” PeerJ 12 (2024): e17055, 10.7717/peerj.17055. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 171. Psichas A., Sleeth M. L., Murphy K. G., et al., “The Short Chain Fatty Acid Propionate Stimulates GLP‐1 and PYY Secretion via Free Fatty Acid Receptor 2 in Rodents,” International Journal of Obesity 39, no. 3 (2015): 424–429, 10.1038/ijo.2014.153. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 172. Goswami C., Iwasaki Y., and Yada T., “Short‐Chain Fatty Acids Suppress Food Intake by Activating Vagal Afferent Neurons,” Journal of Nutritional Biochemistry 57 (2018): 130–135, 10.1016/j.jnutbio.2018.03.009 PubMed PMID: 29702431. [DOI] [PubMed] [Google Scholar]
  • 173. Cook T. M., Gavini C. K., Jesse J., et al., “Vagal Neuron Expression of the Microbiota‐Derived Metabolite Receptor, Free Fatty Acid Receptor (FFAR3), Is Necessary for Normal Feeding Behavior,” Molecular Metabolism 54 (2021): 101350, 10.1016/j.molmet.2021.101350. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 174. Ellegaard A. M., Kårhus M. L., Krych L., et al., “Liraglutide and Colesevelam Change Serum and Fecal Bile Acid Levels in a Randomized Trial With Patients With Bile Acid Diarrhea,” Clinical and Translational Gastroenterology 15, no. 11 (2024): e00772, 10.14309/ctg.0000000000000772. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 175. Sayin S. I., Wahlström A., Felin J., et al., “Gut Microbiota Regulates Bile Acid Metabolism by Reducing the Levels of Tauro‐Beta‐Muricholic Acid, a Naturally Occurring FXR Antagonist,” Cell Metabolism 17, no. 2 (2013): 225–235, 10.1016/j.cmet.2013.01.003 PubMed PMID: 23395169. [DOI] [PubMed] [Google Scholar]
  • 176. Anderson S. R., Ayoub M., Coats S., McHenry S., Tan T., and Deepak P., “Safety and Effectiveness of Glucagon‐Like Peptide‐1 Receptor Agonists in Inflammatory Bowel Disease,” American Journal of Gastroenterology 120, no. 5 (2025): 1152–1155, 10.14309/ajg.0000000000003208 PubMed PMID: 39717004. [DOI] [PubMed] [Google Scholar]
  • 177. Villumsen M., Schelde A. B., Jimenez‐Solem E., Jess T., and Allin K. H., “GLP‐1 Based Therapies and Disease Course of Inflammatory Bowel Disease,” EClinicalMedicine 37 (2021): 100979, 10.1016/j.eclinm.2021.100979. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 178. Arvanitakis K., Koufakis T., Popovic D., et al., “GLP‐1 Receptor Agonists in Obese Patients With Inflammatory Bowel Disease: From Molecular Mechanisms to Clinical Considerations and Practical Recommendations for Safe and Effective Use,” Current Obesity Reports 12, no. 2 (2023): 61–74, 10.1007/s13679-023-00506-3 PubMed PMID: 37081371. [DOI] [PubMed] [Google Scholar]
  • 179. Sedky A. A., “Modulation of Intestinal and Systemic Inflammation by Liraglutide and Lactobacillus plantarum Ameliorates Intestinal Dysfunction and Glucolipid Abnormalities in Diabetic Rats,” Medical Journal of Cairo University 90, no. 3 (2022): 291–303, 10.21608/mjcu.2022.234979. [DOI] [Google Scholar]
  • 180. Nozu T., Miyagishi S., Kumei S., Nozu R., Takakusaki K., and Okumura T., “Glucagon‐Like Peptide‐1 Analog, Liraglutide, Improves Visceral Sensation and Gut Permeability in Rats,” Journal of Gastroenterology and Hepatology 33, no. 1 (2018): 232–239, 10.1111/jgh.13808 PubMed PMID: 28440889. [DOI] [PubMed] [Google Scholar]
  • 181. Chen Y., Shu A., Jiang M., et al., “Exenatide Improves Hypogonadism and Attenuates Inflammation in Diabetic Mice by Modulating Gut Microbiota,” International Immunopharmacology 120 (2023): 110339, 10.1016/j.intimp.2023.110339. [DOI] [PubMed] [Google Scholar]
  • 182. Hernández‐Montoliu L., Rodríguez‐Peña M. M., Puig R., et al., “A Specific Gut Microbiota Signature Is Associated With an Enhanced GLP‐1 and GLP‐2 Secretion and Improved Metabolic Control in Patients With Type 2 Diabetes After Metabolic Roux‐en‐Y Gastric Bypass,” Frontiers in Endocrinology 14 (2023): 1181744, 10.3389/fendo.2023.1181744. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 183. Qualmann C., Nauck M. A., Holst J. J., Ørskov C., and Creutzfeldt W., “Insulinotropic Actions of Intravenous Glucagon‐Like Peptide‐1 (GLP‐1) [7–36 Amide] in the Fasting State in Healthy Subjects,” Acta Diabetologica 32, no. 1 (1995): 13–16, 10.1007/BF00581038. [DOI] [PubMed] [Google Scholar]
  • 184. Degn K. B., Brock B., Juhl C. B., et al., “Effect of Intravenous Infusion of Exenatide (Synthetic Exendin‐4) on Glucose‐Dependent Insulin Secretion and Counterregulation During Hypoglycemia,” Diabetes 53, no. 9 (2004. Sep): 2397–2403, 10.2337/diabetes.53.9.2397 PubMed PMID: 15331551. [DOI] [PubMed] [Google Scholar]
  • 185. Geiselman P. J., “Sugar‐Induced Hyperphagia: Is Hyperinsulinemia, Hypoglycemia, or Any Other Factor a “Necessary” Condition?,” Appetite 11, no. Suppl 1 (1988): 26–34. [PubMed] [Google Scholar]
  • 186. Hermanns N., Plate M., Kulzer B., et al., “Effect of Experimentally Induced Hypoglycemia and Different Insulin Levels on Feelings of Hunger in Type 1 Diabetic Patients,” Experimental and Clinical Endocrinology & Diabetes 116, no. 5 (2008): 255–261, 10.1055/s-2007-993143. [DOI] [PubMed] [Google Scholar]
  • 187. Chaput J. P. and Tremblay A., “The Glucostatic Theory of Appetite Control and the Risk of Obesity and Diabetes,” International Journal of Obesity 33, no. 1 (2009): 46–53, 10.1038/ijo.2008.221. [DOI] [PubMed] [Google Scholar]
  • 188. Melanson K. J., Westerterp‐Plantenga M. S., Saris W. H. M., Smith F. J., and Campfield L. A., “Blood Glucose Patterns and Appetite in Time‐Blinded Humans: Carbohydrate Versus Fat,” American Journal of Physiology. Regulatory, Integrative and Comparative Physiology 277, no. 2 (1999): R337–R345, 10.1152/ajpregu.1999.277.2.R337. [DOI] [PubMed] [Google Scholar]
  • 189. Liu Y., Mei H., Xue L., et al., “Testing the Carbohydrate‐Insulin Model: Short‐Term Metabolic Responses to Consumption of Meals With Varying Glycemic Index in Healthy Adults,” Cell Metabolism 37, no. 3 (2025): 606–615.e3, 10.1016/j.cmet.2025.01.015. [DOI] [PubMed] [Google Scholar]
  • 190. Woo R., Kissileff H. R., and Pi‐Sunyer F. X., “Elevated Postprandial Insulin Levels Do Not Induce Satiety in Normal‐Weight Humans,” American Journal of Physiology. Regulatory, Integrative and Comparative Physiology 247, no. 4 (1984): R745–R749, 10.1152/ajpregu.1984.247.4.R745. [DOI] [PubMed] [Google Scholar]
  • 191. Chapman I. M., Goble E. A., Wittert G. A., Morley J. E., and Horowitz M., “Effect of Intravenous Glucose and Euglycemic Insulin Infusions on Short‐Term Appetite and Food Intake,” American Journal of Physiology. Regulatory, Integrative and Comparative Physiology 274, no. 3 (1998): R596–R603, 10.1152/ajpregu.1998.274.3.R596. [DOI] [PubMed] [Google Scholar]
  • 192. Teff K. L., Petrova M., Havel P. J., and Townsend R. R., “48‐H Glucose Infusion in Humans: Effect on Hormonal Responses, Hunger and Food Intake,” Physiology & Behavior 90, no. 5 (2007): 733–743, 10.1016/j.physbeh.2006.12.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 193. Davies M., Færch L., Jeppesen O. K., et al., “Semaglutide 2·4 mg Once a Week in Adults With Overweight or Obesity, and Type 2 Diabetes (STEP 2): A Randomised, Double‐Blind, Double‐Dummy, Placebo‐Controlled, Phase 3 Trial,” Lancet 397, no. 10278 (2021): 971–984, 10.1016/S0140-6736(21)00213-0 PubMed PMID: 33667417. [DOI] [PubMed] [Google Scholar]
  • 194. Garvey W. T., Batterham R. L., Bhatta M., et al., “Two‐Year Effects of Semaglutide in Adults With Overweight or Obesity: The STEP 5 Trial,” Nature Medicine 28, no. 10 (2022): 2083–2091, 10.1038/s41591-022-02026-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 195. Wadden T. A., Bailey T. S., Billings L. K., et al., “Effect of Subcutaneous Semaglutide vs Placebo as an Adjunct to Intensive Behavioral Therapy on Body Weight in Adults With Overweight or Obesity: The STEP 3 Randomized Clinical Trial,” Journal of the American Medical Association 325, no. 14 (2021): 1403–1413, 10.1001/jama.2021.1831. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 196. Jastreboff A. M., Aronne L. J., Ahmad N. N., et al., “Tirzepatide Once Weekly for the Treatment of Obesity,” New England Journal of Medicine 387, no. 3 (2022): 205–216, 10.1056/NEJMoa2206038. [DOI] [PubMed] [Google Scholar]
  • 197. Garvey W. T., Frias J. P., Jastreboff A. M., et al., “Tirzepatide Once Weekly for the Treatment of Obesity in People With Type 2 Diabetes (SURMOUNT‐2): A Double‐Blind, Randomised, Multicentre, Placebo‐Controlled, Phase 3 Trial,” Lancet 402, no. 10402 (2023): 613–626, 10.1016/S0140-6736(23)01200-X. [DOI] [PubMed] [Google Scholar]
  • 198. Coskun T., Sloop K. W., Loghin C., et al., “LY3298176, a Novel Dual GIP and GLP‐1 Receptor Agonist for the Treatment of Type 2 Diabetes Mellitus: From Discovery to Clinical Proof of Concept,” Molecular Metabolism 18 (2018): 3–14, 10.1016/j.molmet.2018.09.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 199. Kjems L. L., Holst J. J., Vølund A., and Madsbad S., “The Influence of GLP‐1 on Glucose‐Stimulated Insulin Secretion: Effects on β‐Cell Sensitivity in Type 2 and Nondiabetic Subjects,” Diabetes 52, no. 2 (2003): 380–386, 10.2337/diabetes.52.2.380. [DOI] [PubMed] [Google Scholar]
  • 200. Mather K. J., Mari A., Weerakkody G., et al., “Greater Improvement in Insulin Sensitivity Per Unit Weight Loss Associated With Tirzepatide Versus Semaglutide: An Exploratory Analysis,” Diabetes, Obesity & Metabolism 27, no. 3 (2025): 1507–1514, 10.1111/dom.16159. [DOI] [PubMed] [Google Scholar]
  • 201. Maciel M. G., Beserra B. T. S., Oliveira F. C. B., et al., “The Effect of Glucagon‐Like Peptide 1 and Glucagon‐Like Peptide 1 Receptor Agonists on Energy Expenditure: A Systematic Review and Meta‐Analysis,” Diabetes Research and Clinical Practice 142 (2018): 222–235, 10.1016/j.diabres.2018.05.034. [DOI] [PubMed] [Google Scholar]
  • 202. Bergmann N. C., Lund A., Gasbjerg L. S., et al., “Effects of Combined GIP and GLP‐1 Infusion on Energy Intake, Appetite and Energy Expenditure in Overweight/Obese Individuals: A Randomised, Crossover Study,” Diabetologia 62, no. 4 (2019): 665–675, 10.1007/s00125-018-4810-0 PubMed PMID: 30683945. [DOI] [PubMed] [Google Scholar]
  • 203. Bagger J. I., Holst J. J., Hartmann B., Andersen B., Knop F. K., and Vilsbøll T., “Effect of Oxyntomodulin, Glucagon, GLP‐1, and Combined Glucagon +GLP‐1 Infusion on Food Intake, Appetite, and Resting Energy Expenditure,” Journal of Clinical Endocrinology and Metabolism 100, no. 12 (2015): 4541–4552, 10.1210/jc.2015-2335. [DOI] [PubMed] [Google Scholar]
  • 204. Flint A., Raben A., Rehfeld J. F., Holst J. J., and Astrup A., “The Effect of Glucagon‐Like Peptide‐1 on Energy Expenditure and Substrate Metabolism in Humans,” International Journal of Obesity 24, no. 3 (2000): 288–298, 10.1038/sj.ijo.0801126. [DOI] [PubMed] [Google Scholar]
  • 205. Flint A., Raben A., Ersbøll A. K., Holst J. J., and Astrup A., “The Effect of Physiological Levels of Glucagon‐Like Peptide‐1 on Appetite, Gastric Emptying, Energy and Substrate Metabolism in Obesity,” International Journal of Obesity 25, no. 6 (2001): 781–792, 10.1038/sj.ijo.0801627. [DOI] [PubMed] [Google Scholar]
  • 206. Achour L., Méance S., and Briend A., “Comparison of Gastric Emptying of a Solid and a Liquid Nutritional Rehabilitation Food,” European Journal of Clinical Nutrition 55, no. 9 (2001): 769–772, 10.1038/sj.ejcn.1601221 PubMed PMID: 11528491. [DOI] [PubMed] [Google Scholar]
  • 207. Sze L., Purtell L., Jenkins A., et al., “Effects of a Single Dose of Exenatide on Appetite, Gut Hormones, and Glucose Homeostasis in Adults With Prader‐Willi Syndrome,” Journal of Clinical Endocrinology and Metabolism 96, no. 8 (2011): E1314–E1319, 10.1210/jc.2011-0038 PubMed PMID: 21632815. [DOI] [PubMed] [Google Scholar]
  • 208. Basolo A., Burkholder J., Osgood K., et al., “Exenatide Has a Pronounced Effect on Energy Intake but Not Energy Expenditure in Non‐Diabetic Subjects With Obesity: A Randomized, Double‐Blind, Placebo‐Controlled Trial,” Metabolism 85 (2018): 116–125, 10.1016/j.metabol.2018.03.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 209. Dushay J., Gao C., Gopalakrishnan G. S., et al., “Short‐Term Exenatide Treatment Leads to Significant Weight Loss in a Subset of Obese Women Without Diabetes,” Diabetes Care 35, no. 1 (2012): 4–11, 10.2337/dc11-0931. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 210. Gatta‐Cherifi B., Mohammedi K., Cariou T., et al., “Impact of Exenatide on Weight Loss and Eating Behavior in Adults With Craniopharyngioma‐Related Obesity: The CRANIOEXE Randomized Placebo‐Controlled Trial,” European Journal of Endocrinology 190, no. 4 (2024): 257–265, 10.1093/ejendo/lvae024 PubMed PMID: 38450721. [DOI] [PubMed] [Google Scholar]
  • 211. Farr O. M., Tsoukas M. A., Triantafyllou G., et al., “Short‐Term Administration of the GLP‐1 Analog Liraglutide Decreases Circulating Leptin and Increases GIP Levels and These Changes Are Associated With Alterations in CNS Responses to Food Cues: A Randomized, Placebo‐Controlled, Crossover Study,” Metabolism 65, no. 7 (2016): 945–953, 10.1016/j.metabol.2016.03.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 212. Silver H. J., Olson D., Mayfield D., et al., “Effect of the Glucagon‐Like Peptide‐1 Receptor Agonist Liraglutide, Compared to Caloric Restriction, on Appetite, Dietary Intake, Body Fat Distribution and Cardiometabolic Biomarkers: A Randomized Trial in Adults With Obesity and Prediabetes,” Diabetes, Obesity & Metabolism 25, no. 8 (2023): 2340–2350, 10.1111/dom.15113. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 213. Shoemaker A. H., Silver H. J., Buchowski M., et al., “Energy Balance in Hypothalamic Obesity in Response to Treatment With a Once‐Weekly GLP‐1 Receptor Agonist,” International Journal of Obesity 46, no. 3 (2022): 623–629, 10.1038/s41366-021-01043-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 214. van Eyk H. J., Paiman E. H. M., Bizino M. B., et al., “Liraglutide Decreases Energy Expenditure and Does Not Affect the Fat Fraction of Supraclavicular Brown Adipose Tissue in Patients With Type 2 Diabetes,” Nutrition, Metabolism, and Cardiovascular Diseases 30, no. 4 (2020): 616–624, 10.1016/j.numecd.2019.12.005. [DOI] [PubMed] [Google Scholar]
  • 215. Apovian C. M., Bergenstal R. M., Cuddihy R. M., et al., “Effects of Exenatide Combined With Lifestyle Modification in Patients With Type 2 Diabetes,” American Journal of Medicine 123, no. 5 (2010): 468.e9–468.e17, 10.1016/j.amjmed.2009.11.019 PubMed PMID: 20399326. [DOI] [PubMed] [Google Scholar]
  • 216. Bradley D. P., Kulstad R., Racine N., Shenker Y., Meredith M., and Schoeller D. A., “Alterations in Energy Balance Following Exenatide Administration,” Applied Physiology, Nutrition, and Metabolism 37, no. 5 (2012): 893–899, 10.1139/h2012-068. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 217. Lomenick J. P., Buchowski M. S., and Shoemaker A. H., “A 52‐Week Pilot Study of the Effects of Exenatide on Body Weight in Patients With Hypothalamic Obesity,” Obesity 24, no. 6 (2016): 1222–1225, 10.1002/oby.21493. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 218. Welling M. S., de Groot C. J., Kleinendorst L., et al., “Effects of Glucagon‐Like Peptide‐1 Analogue Treatment in Genetic Obesity: A Case Series,” Clinical Obesity 11, no. 6 (2021): e12481, 10.1111/cob.12481. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 219. Pontzer H., Yamada Y., Sagayama H., et al., “Daily Energy Expenditure Through the Human Life Course,” Science 373, no. 6556 (2021): 808–812, 10.1126/science.abe5017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 220. Most J. and Redman L. M., “Impact of Calorie Restriction on Energy Metabolism in Humans,” Experimental Gerontology 133 (2020): 110875, 10.1016/j.exger.2020.110875. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 221. Beiroa D., Imbernon M., Gallego R., et al., “GLP‐1 Agonism Stimulates Brown Adipose Tissue Thermogenesis and Browning Through Hypothalamic AMPK,” Diabetes 63, no. 10 (2014): 3346–3358, 10.2337/db14-0302 PubMed PMID: 24917578. [DOI] [PubMed] [Google Scholar]
  • 222. Grosicki G. J., Kim J., Fielding F., et al., “Heart and Health Behavior Responses to GLP‐1 Receptor Agonists: A 12‐Wk Study Using Wearable Technology and Causal Inference,” American Journal of Physiology. Heart and Circulatory Physiology 328, no. 2 (2025): H235–H241, 10.1152/ajpheart.00809.2024. [DOI] [PubMed] [Google Scholar]
  • 223. Ravussin E., Lillioja S., Anderson T. E., Christin L., and Bogardus C., “Determinants of 24‐Hour Energy Expenditure in Man. Methods and Results Using a Respiratory Chamber,” Journal of Clinical Investigation 78, no. 6 (1986): 1568–1578, 10.1172/JCI112749 PubMed PMID: 3782471; PubMed Central PMCID: PMC423919. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 224. Karagiannis T., Malandris K., Avgerinos I., et al., “Subcutaneously Administered Tirzepatide vs Semaglutide for Adults With Type 2 Diabetes: A Systematic Review and Network Meta‐Analysis of Randomised Controlled Trials,” Diabetologia 67, no. 7 (2024): 1206–1222, 10.1007/s00125-024-06144-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 225. Xie Z., Zheng G., Liang Z., Li M., Deng W., and Cao W., “Seven Glucagon‐Like Peptide‐1 Receptor Agonists and Polyagonists for Weight Loss in Patients With Obesity or Overweight: An Updated Systematic Review and Network Meta‐Analysis of Randomized Controlled Trials,” Metabolism 161 (2024): 156038, 10.1016/j.metabol.2024.156038 PubMed PMID: 39305981. [DOI] [PubMed] [Google Scholar]
  • 226. Kleinert M., Sachs S., Habegger K. M., Hofmann S. M., and Müller T. D., “Glucagon Regulation of Energy Expenditure,” International Journal of Molecular Sciences 20, no. 21 (2019): 5407, 10.3390/ijms20215407. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 227. Salem V., Izzi‐Engbeaya C., Coello C., et al., “Glucagon Increases Energy Expenditure Independently of Brown Adipose Tissue Activation in Humans,” Diabetes, Obesity & Metabolism 18, no. 1 (2016): 72–81, 10.1111/dom.12585. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 228. Coskun T., Urva S., Roell W. C., et al., “LY3437943, a Novel Triple Glucagon, GIP, and GLP‐1 Receptor Agonist for Glycemic Control and Weight Loss: From Discovery to Clinical Proof of Concept,” Cell Metabolism 34, no. 9 (2022): 1234–1247.e9, 10.1016/j.cmet.2022.07.013 PubMed PMID: 35985340. [DOI] [PubMed] [Google Scholar]
  • 229. Knerr P. J., Mowery S. A., Douros J. D., et al., “Next Generation GLP‐1/GIP/Glucagon Triple Agonists Normalize Body Weight in Obese Mice,” Molecular Metabolism 63 (2022): 101533, 10.1016/j.molmet.2022.101533. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 230. Golubic R., Kennet J., Parker V., et al., “Dual Glucagon‐Like Peptide‐1 and Glucagon Receptor Agonism Reduces Energy Intake in Type 2 Diabetes With Obesity,” Diabetes, Obesity & Metabolism 26, no. 7 (2024): 2634–2644, 10.1111/dom.15579 PubMed PMID: 38562018. [DOI] [PubMed] [Google Scholar]
  • 231. Corbin K. D., Carnero E. A., Allerton T. D., et al., “Glucagon‐Like Peptide‐1/Glucagon Receptor Agonism Associates With Reduced Metabolic Adaptation and Higher Fat Oxidation: A Randomized Trial,” Obesity 31, no. 2 (2023): 350–362, 10.1002/oby.23633. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 232. Wyness L. A., Butriss J. L., and Stanner S. A., “Reducing the Population's Sodium Intake: The UK Food Standards Agency's Salt Reduction Programme,” Public Health Nutrition 15, no. 2 (2012): 254–261, 10.1017/S1368980011000966. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

Data sharing not applicable to this article as no datasets were generated or analysed during the current study.


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