Hostname: page-component-cd9895bd7-7cvxr Total loading time: 0 Render date: 2024-12-19T00:18:25.545Z Has data issue: false hasContentIssue false

Food preferences and underlying mechanisms after bariatric surgery

Published online by Cambridge University Press:  20 May 2015

Preeshila Behary*
Affiliation:
Division of Diabetes, Endocrinology and Metabolism, Hammersmith Hospital, Imperial College London, Du Cane Road, London, UK
Alexander D. Miras
Affiliation:
Division of Diabetes, Endocrinology and Metabolism, Hammersmith Hospital, Imperial College London, Du Cane Road, London, UK
*
*Corresponding author: P. Behary, email [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Bariatric surgery leads to significant long-term weight loss, particularly Roux-en-Y gastric bypass (RYGB). The mechanisms underlying weight loss have not been fully uncovered. The aim of this review is to explore the changes in food preferences, as a novel mechanism contributing to weight loss, and also focus on the underlying processes modulating eating behaviour after bariatric surgery. Patients after gastric bypass are less hungry and prefer healthier food options. They develop an increased acuity to sweet taste, which is perceived as more intense. The appeal of sweet fatty food decreases, with functional MRI studies showing a corresponding reduction in activation of the brain reward centres to high-energy food cues. Patients experiencing post-ingestive symptoms with sweet and fatty food develop conditioned aversive behaviours towards the triggers. Gut hormones are elevated in RYGB and have the potential to influence the taste system and food hedonics. Current evidence supports a beneficial switch in food preferences after RYGB. Changes within the sensory and reward domain of taste and the development of post-ingestive symptoms appear to be implicated. Gut hormones may be the mediators of these alterations and therefore exploiting this property might prove beneficial for designing future obesity treatment.

Type
Conference on ‘Nutrition and age-related muscle loss, sarcopenia and cachexia’
Copyright
Copyright © The Authors 2015 

Obesity is a growing epidemic affecting nearly 500 million adults globally( 1 ). Bariatric surgery is currently the most effective treatment for obesity. The most commonly performed procedures are Roux-en-Y gastric bypass (RYGB), adjustable gastric band (BAND) and vertical sleeve gastrectomy and normally lead to between 20 and 35% loss in body weight( Reference O'Brien, McPhail and Chaston 2 ). RYGB is considered as the gold standard surgical treatment for obesity and offers sustained weight loss for at least 20 years, as well as marked improvement in cardiovascular risk factors and mortality( Reference Sjöström 3 , Reference Sjöström 4 ). In contrast, weight loss though lifestyle modification is usually modest and un-sustainable. Even the best available anti-obesity pharmacotherapy only allows a fraction of the weight loss caused by bariatric surgery and is usually plagued with side effects, which have led to the withdrawal of at least two anti-obesity agents over recent years. The success of bariatric surgery clearly stems beyond purely restrictive and malabsorptive mechanisms; however, the mechanisms implicated for long-term weight loss are not fully understood.

Proposed mechanisms include elevation of gut hormones and their effect on the appetite centres of the brain, increased energy expenditure, alteration in the gut microbiota and bile acids levels and composition, changes in vagal nerve signalling and shifts in food preferences, particularly with patients post RYGB( Reference Miras and le Roux 5 Reference Sweeney and Morton 7 ). Patients post RYGB prefer low-sugar low-fat food and report finding food less enjoyable. These changes in food perception and preferences have been strongly attributed to changes in taste processes and food reward. This is a novel concept, but there is an increased research interest looking for possible mechanisms at play. Elucidating the physiological processes underpinning the changes in the perception of food and hence eating behaviour in patients after bariatric surgery is crucial. This knowledge could potentially translate to the development of more efficient obesity-targeted drugs. The purpose of this review is to explore the changes in food preferences and eating behaviour after bariatric surgery and present the evidence implicating physiological changes in taste, food reward and post-ingestion effects as possible causative factors.

Changes in food preferences and eating behaviour after bariatric surgery

Patients after bariatric surgery report feeling less hungry, reach satiety earlier and prefer different classes of food( Reference Rand, Macgregor and Hankins 8 , Reference Dixon, Dixon and O'Brien 9 ). The first study to objectively investigate the eating behaviour of patients post-bariatric surgery was conducted by Halmi et al. The findings from the study showed a reduction in total energy intake and a selective reduction in high-fat and high-carbohydrate intake after surgery( Reference Halmi, Mason and Falk 10 ). The majority of subsequent studies demonstrated a reduction in total energy consumed after surgery although changes within the macronutrient compositionvaried( Reference Kruseman, Leimgruber and Zumbach 11 Reference Sjöström, Lindroos and Peltonen 16 ). For example, Coughlin et al. found a reduction of energy intake by more than one-third, predominantly due to a reduction in fat consumption, in patients 12 months post RYGB surgery( Reference Coughlin, Bell and Bivins 13 ). Kruseman et al. provided the longest prospective study of eighty patients, 8 years after RYGB and demonstrated an increase in percentage of protein, a reduction in fat but no change in carbohydrate intake compared with baseline( Reference Kruseman, Leimgruber and Zumbach 11 ), whereas Brolin et al. found a significant increase in the contribution of carbohydrates but reduction in fat at 36 months in patients post RYGB( Reference Brolin, Robertson and Kenler 17 ).

Other studies focused on the consumption of sweet and fatty foods as well as fruit and vegetables in patients undergoing RYGB or BAND. RYGB surgery leads to superior weight loss and it has been suggested that divergence in food preferences may play a role. Some studies reported a reduction in the consumption of sweet food post RYGB compared with both pre-operatively and post BAND. For example Kenler et al. performed a 2-year study in patients before and after RYGB and horizontal banded gastrectomy. This group found a reduction of 14–21% in the consumption of sweet and dairy items in the RYGB group, but this was unchanged in the gastrectomy group( Reference Kenler, Brolin and Cody 18 ). Similar results were replicated by Olbers et al. who found a lower contribution of sweet and fatty food towards total energy intake in a RYGB group compared with a vertical banded gastroplasty group 6 years post-operatively( Reference Olbers, Björkman and Lindroos 19 ). Additionally, the same group later reported an increase in both the frequency of meals and mean eating rate in patients post RYGB( Reference Laurenius, Larsson and Melanson 20 ). Other studies reported that patients post RYGB exhibited less interest in sweet food, finding it less enjoyable and even unpleasant or intolerable in some more extreme cases( Reference Trostler, Mann and Zilberbush 15 , Reference Bueter, Miras and Chichger 21 , Reference Wilson-Pérez, Chambers and Sandoval 22 ). The authors suggested dumping syndrome to be a possible cause. The data for fruit and vegetable consumption after bariatric surgery are inconsistent. Ernst et al. reported enhanced intake of vegetables and reduced intake of fatty sweets post RYGB but a reduction in fruit consumption following BAND( Reference Ernst, Thurnheer and Wilms 23 ). This is in agreement with Olbers et al. who showed that a superior representation of fruit and vegetables in the diet of patients post RYGB compared with vertical banded gastroplasty( Reference Olbers, Björkman and Lindroos 19 ). However, others have found no change in the consumption of vegetables with the overall contribution towards energy intake remaining quite low at 5–10%( Reference Halmi, Mason and Falk 10 , Reference Trostler, Mann and Zilberbush 15 ).

Animal data are consistent with the findings from human studies. Rats after RYGB ate less high-fat high-sugar food compared with sham but more chow, demonstrating a shift in food preferences( Reference Bueter, Miras and Chichger 21 , Reference Zheng, Shin and Lenard 24 , Reference Le Roux, Bueter and Theis 25 ). However, conflicting results from animal studies are available for food preferences after vertical sleeve gastrectomy. One study found a reduction in fat intake and a preference towards lower energy-dense food whereas another demonstrated no difference in food preferences in rats compared with pre-operatively( Reference Wilson-Pérez, Chambers and Sandoval 22 , Reference Saeidi, Nestoridi and Kucharczyk 26 ).

Although there are some patterns emerging, there are considerable inconsistencies between human studies and the reasons are varied. Firstly, the methodologies employed in the studies assessing food intake and preference consist of food diaries, questionnaires, interviews and dietary recall. Although they are practical and inexpensive to use, these tools are prone to weaknesses. They provide subjective information which relies on accurate reporting from patients. Verbal report of human eating behaviour does not always reflect actual behaviour and this can be particularly problematic in the context of the stigma associated with obesity( Reference Schoeller 27 ). Perhaps, a more objective way to directly assess food intake and preferences is to use a standardised clinical setting where the subject is presented with a variety of food options in a buffet style or performs behavioural tasks. Secondly, factors related to the surgery such as differences in surgical techniques used, time from surgery and type of dietary advice and support provided can all contribute to the inconsistencies. Thirdly, patients’ factors such as gender, BMI and stage of menstrual cycle may also contribute to conflicting results, as for example, there is evidence to show that food intake is significantly increased in the luteal phase compared with the follicular phase in menstruating women, due to fluctuating levels of oestrogens and serotonin( Reference Dye and Blundell 28 ).

In summary, the emerging eating behaviour patterns are that of a lower consumption and preference for sweet and fatty foods after RYGB compared with pre-operatively as well as compared with BAND. Limited data are however available for changes in food preferences after vertical sleeve gastrectomy. As a result, RYGB is now recognised as a procedure able to shape eating behaviour and perception of food towards weight loss. Changes in taste and post-ingestive effects have been heavily implicated.

Taste and bariatric surgery

An important factor governing human eating behaviour is taste. When food comes into contact with taste buds, a series of neural pathways are activated which help to identify food, decide how much to eat and how much we enjoy it and finally prepare for digestion. These processes can be categorised into three major domains: (1) sensory domain which deals with the identification and discrimination of the stimulus, e.g. does this cake taste sweet and if so how sweet is it? (2) hedonic domain which refers to the motivational reward driving ingestion of a stimulus, e.g. how much do I want this cake and how much do I like it when I eat it? (3) physiological domain which leads to the triggering of pathways to help with digestion and maintain homeostasis, e.g. salivation and cephalic insulin release following ingestion( Reference Spector and Glendinning 29 , Reference Miras and le Roux 30 ). Bariatric surgery, RYGB in particular, can potentially influence any of the three taste domains in such a way to direct the food preferences and eating behaviour of patients towards long-term weight loss. It is useful to have a basic understanding of the gustatory pathway to appreciate the impact of bariatric surgery on taste.

The gustatory pathway

Taste receptors are located on the tongue and palate and innervated by branches from the facial, glossopharyngeal and vagal nerves. Once activated, signals are transmitted along the nucleus of the solitary tract to the thalamus and finally to the primary taste cortex which comprises the insula and frontal operculum. The primary taste cortex contains taste neurons coding for different taste modalities such as sweet, salt, bitter, sour and umami. However, they do not convey the reward value of taste. Instead the insula projects to the secondary taste cortex, the orbitofrontal cortex, where taste reward is encoded. Further inputs from the olfactory and visual pathways converge and integrate with taste signals within the orbitofrontal cortex and contribute to the concept of flavour as well as the reward aspect of food. The orbitofrontal cortex has further projections to the striatum, cingulate cortex and medial prefrontal cortex enabling appropriate behavioural responses to a given stimulus. Connections with the lateral hypothalamus drive autonomic responses but are also key to the process of sensory-specific satiety, i.e. the selective reduction in the appeal of a specific food in a satiated state( Reference Rolls 31 ).

Sensory domain of taste and bariatric surgery

The first study of the effects of RYGB on taste acuity was performed by Scruggs et al. using the Henkin forced choice three choice drop stimulus before and after RYGB in women. This technique involves placing drops of water or tastant on the tongue of the volunteer. The lowest concentration at which the volunteer is able to detect a difference between the tastant and water represents the detection threshold( Reference Henkin and Bartter 32 ). This group found a non-significant trend towards a reduction in the detection threshold of sweet and salty( Reference Scruggs, Buffington and Cowan 33 ). However, Burge et al. reported a lower recognition threshold of sweet in patients as early as 6 weeks post RYGB, but not after energy restriction-induced weight loss. This translated to increased taste acuity resulting in a more intense perception of sweet to which patients adjusted their eating behaviour( Reference Burge, Schaumburg and Choban 34 ). In our own unit, we used the method of constant stimuli where increasing concentration of sweet solutions, interspersed with water, were presented in a random fashion to patients post RYGB and normal weight controls. We found a significant increase in sweet taste acuity after surgery( Reference Bueter, Miras and Chichger 21 ). Contrary to our findings, Pepino et al. found no change in detection thresholds for sweet, salty or savoury in patients after RYGB and BAND compared with pre-operatively as well as within groups. It must be noted that the authors used a different technique to ours, to assess taste thresholds and administered a standard energy-deficient diet to both groups to achieve a matched weight loss of 20%. Also, after surgery, the RYGB group was switched to a regular diet sooner than what is commonly practiced in most bariatric centres. However, a comparable reduction in preference for sweet and high-energy food in both groups was shown. On this basis, the authors argued that mechanisms other than taste sensitivity account for the shift in food preferences after bariatric surgery, and suggested that weight loss and energetic restriction per se may have a causative role( Reference Pepino, Bradley and Eagon 35 ). The discrepancy between the earlier study results may amount to differences in the methodologies employed to measure taste thresholds, variation in the diet composition of subjects at the time of testing, time from surgery and sex differences. On balance, some of the evidence points towards an enhancement in the detection and intensity of sweet after RYGB surgery, hence changing the palatability of food. Conversely, it is not clear whether lower taste thresholds actually translate to a modification of eating behaviour in the ‘real-world’, where supra-threshold taste concentrations reign.

Reward domain of taste and bariatric surgery

The reward domain of taste conveys information related to the appeal of food and directs appropriate eating behaviour. As previously described, taste together with input from the olfactory and visual pathways, merge within the orbitofrontal cortex to encode the reward value of a food stimulus. The orbitofrontal cortex further communicates with other limbic structures such as the ventral tegmental area, nucleus accumbens, amygdala, hippocampus and ventral striatum with dopamine acting as the primary neurotransmitter. Food reward can be divided into appetitive (i.e. wanting) which reflects the effort a subject is ready to put in for the pursuit of a desired food item and consummatory (i.e. liking) which reflects the pleasure derived upon ingestion of the food. To study food reward in humans, neuroimaging in the form of functional (f)MRI and positron emission tomography scans are commonly used, especially in research. fMRI provides both structural and functional information of brain activation by measuring blood–oxygen-level-dependent responses to food cues, usually delivered as a visual, gustatory, olfactory or auditory stimulus. Positron emission tomography, however, relies on the quantitative uptake of a radio-labelled substrate by their specific tissue receptors; for example, there is increased 18F-fluorodeoxyglucose (radio-labelled glucose) uptake by activated brain tissues. Another behavioural method used to study appetitive food reward is the progressive ratio task. In this experiment, the subject has to work for a rewarding stimulus; for example, this could involve clicking a computer mouse a number of times. The response requirement increases progressively until the subject stops working for the reward; this is known as the breakpoint. This technique has been used successfully in animal and some human studies. It is however more challenging to study the consummatory reward objectively in human subjects. Nevertheless, some studies have used both fMRI and the Visual Analogue Scale technique to explore this domain, although limited data is available regarding patients after bariatric surgery. The effects of bariatric surgery on both appetitive and consummatory reward are discussed below.

Positron emission tomography studies and food reward

Following food intake, there is a reported increase in dopaminergic neurotransmission within the dorsal striatum, and this appears to correlate with subjective ratings of derived pleasure in human subjects( Reference Small, Jones-Gotman and Dagher 36 ). In obesity, reduced dopamine receptor availability within the striatum has been reported( Reference Wang, Volkow and Logan 37 ). So far, only a handful of positron emission tomography studies have investigated the effects of bariatric surgery on brain responses and the findings are discordant. Dunn et al. used 18F-fallypride tracer to bind to dopamine receptors and found a reduction in the availability of dopamine D2 receptors within the areas of the brain influencing eating behaviour, in patients post RYGB( Reference Dunn, Cowan and Volkow 38 ). The authors speculate this equates to higher free circulating dopamine levels. In contrast, Steele et al. used 11C-raclopride as a tracer and produced opposite findings( Reference Steele, Prokopowicz and Schweitzer 39 ). The results should be interpreted with caution as both studies were of small size, lack a control group for weight loss and each consisted of a set of cohorts with different characteristics.

Functional MRI studies and food reward

In obesity, both appetitive and consummatory responses to food stimuli, especially high-energy food, show a higher activation of the reward areas on fMRI, compared with normal weight individuals in the majority, but not all published studies( Reference Rothemund, Preuschhof and Bohner 40 , Reference Szalay, Aradi and Schwarcz 41 ). There is evidence to suggest that weight loss through energy restriction promotes activation of the reward areas to food stimuli compared with baseline weight( Reference Rosenbaum, Sy and Pavlovich 42 , Reference Stice, Burger and Yokum 43 ). This potentially contributes to the high relapse rate of dietary-induced weight loss regimens. In fact, Bruce et al. compared brain responses to visual food cues in patients after BAND and following a behavioural weight loss programme. The authors found that at similar weight loss, there was greater activation in the medial prefrontal cortex, an area involved in the motivational processing of food cues, within the non-surgical group, i.e. they perceive the food cues as more rewarding( Reference Bruce, Bruce, Ness and Lepping 44 ). The same group's earlier work showed that patients at 3 months post BAND have reduced activation in the brain regions involved with motivation and reward but increased activity in areas representing cognitive restraint, to food pictures compared with pre-operatively( Reference Bruce, Hancock and Bruce 45 ). This is consistent with findings of a reduction in motivation scores for eating palatable foods, using the Power of Food Scale questionnaires, in patients post BAND v. obese controls( Reference Ullrich, Ernst and Wilms 46 ). Ochner et al. carried out a series of fMRI studies in patients post RYGB. The authors first showed that not only was there a reduction in activation within the mesolimbic reward areas to visual and auditory food cues 1 month after surgery compared with pre-operatively, but there was also a selective reduction for high- v. low-energy food( Reference Ochner, Kwok and Conceição 47 ). In a second study, both fMRI and rating scales were used to investigate the appetitive and consummatory responses to high- v. low-energy food in fourteen patients undergoing RYGB. Again, a higher reduction in neural activity in the reward areas after surgery was observed and this correlated with a reduction in the ‘wanting’ but not ‘liking’ of high-energy over low-energy food( Reference Ochner, Stice and Hutchins 48 ). Reduction in appetitive responses after RYGB to high-fat high-sugar food, has also been found using the progressive ratio task. Subjects tend to work less hard and show less motivation to obtain a sweet and fatty reward (candy) after RYGB( Reference Miras, Jackson and Jackson 49 ).

In summary, there is consistent evidence that RYGB reduces the appeal of high-energy food and some data suggesting that BAND decreases the reward value of food. However, RYGB causes more weight loss than BAND, suggesting that all bariatric procedures may not exert the same effects on brain activation. Indeed, Scholtz et al. compared the two surgical procedures and found that RYGB caused a greater reduction in the activation of brain reward areas to high-energy food pictures compared with BAND. Furthermore, high-energy food pictures were rated as ‘less appealing’ and ingestion of ice-cream as ‘less pleasant to eat’ in the RYGB group( Reference Scholtz, Miras and Chhina 50 ). RYGB appears to be far superior in modulating brain activity. In fact, several fMRI studies carried out at least 6 months after RYGB, report a restoration in patterns of brain activation to food or glucose stimuli, similar to those observed in normal weight individuals( Reference Van de Sande-Lee, Pereira and Cintra 51 , Reference Frank, Wilms and Veit 52 ). It is worth noting that patients who are less successful at losing weight after RYGB have been shown to have a lower increase in activation of the areas involved in restraint and inhibition but no significant change in the limbic reward areas compared with their more successful weight loss counterparts( Reference Goldman, Canterberry and Borckardt 53 ).

Physiological domain of taste and post-ingestive effects of bariatric surgery

Upon ingestion of food, there is a cascade of physiological responses induced to mainly facilitate digestion. These responses may differ between individuals; for example, obese individuals salivate more and are slower to habituate to sweet food compared with lean individuals( Reference Epstein, Paluch and Coleman 54 , Reference Bond, Raynor and McCaffery 55 ). Post-bariatric surgery, patients may experience unpleasant physiological responses to food ingestion. Food, typically consisting of refined carbohydrates and fat are the main triggers and patients often report a conscious avoidance of the food triggers through a learned process. Post-ingestive responses to sugary and fatty food may consist of nausea, vomiting, flushing, bloating, abdominal pain, fainting and even hypoglycaemia and are generally classified as early and late dumping syndrome. The mechanism is poorly understood although it is believed to result from the expedited transit and delivery of highly osmotic food to the gut in RYGB. This may be secondary to rapid gastric emptying and to bypassing the proximal part of the small bowel. Indeed, dumping syndrome has been associated primarily with RYGB, where prevalence rates of up to 70% has been quoted but not with BAND( Reference Mallory, Macgregor and Rand 56 ). Similarly, it has also been described in patients after gastrectomy. It is hypothesised that post RYGB, patients modify their eating behaviour in response to the post-ingestive symptoms and eventually formulate conditioned aversions to sweet fatty food. Animal studies using taste and malaise-inducing aversion paradigms to maize and peanut oil following RYGB and vertical sleeve gastrectomy, appear to support this theory( Reference Wilson-Pérez, Chambers and Sandoval 22 , Reference Le Roux, Bueter and Theis 25 )

Potential mediators

Another physiological consequence of RYGB but not BAND, is enhanced nutrient sensing by the L cells of the distal ileum, promoting the exaggerated release of the gut hormones, glucagon-like peptide-1 (GLP-1), peptide YY and oxyntomodulin in response to a meal( Reference Le Roux, Aylwin and Batterham 6 , Reference Borg, le Roux and Ghatei 57 ). However, ghrelin levels have been found to be reduced or increased post RYGB and therefore its impact on food preferences is largely unknown( Reference Cummings, Weigle and Frayo 58 , Reference Bose, Machineni and Oliván 59 ). The elevated gut hormones GLP-1, peptide YY and oxyntomodulin, have been hailed as likely mediators of the beneficial effects of RYGB on appetite, taste functions and food preferences. There is a body of evidence to support the gut hormones hypothesis( Reference Borg, le Roux and Ghatei 57 , Reference Le Roux, Welbourn and Werling 60 , Reference Dotson, Geraedts and Munger 61 ). GLP-1, peptide YY and oxyntomodulin are anorexic hormones and have been shown to reduce hunger, promote satiety and reduce food intake when given peripherally in human subjects or centrally in rodents( Reference Wynne, Park and Small 62 Reference Verdich, Flint and Gutzwiller 66 ). In addition, the role of gut hormones on the brain reward centres was clearly demonstrated in an elegantly designed fMRI study by De Silva et al. Their study findings showed that co-administration of GLP-1 and peptide YY in lean individuals resulted in an additive reduction in activation of the reward areas (orbitofrontal cortex, amygdala, caudate, insula, nucleus accumbens and putamen) to food pictures, compared with saline infusion. This translated to reduced ad libitum food intake with the fMRI changes observed on the hormone infusion comparable with those seen after a meal, i.e. consistent with a satiated state( Reference De Silva, Salem and Long 67 ). Furthermore GLP-1 receptors have been located both in the brain as well as in taste bud cells, suggesting GLP-1 has the potential to modulate the taste pathway at the sensory level and the reward system centrally( Reference Shin, Martin and Golden 68 , Reference Grill, Skibicka and Hayes 69 ). Contrary to the ‘gut hormones theory’, Ochner et al. argued they found no significant difference in brain activity to visual and auditory food cues on fMRI between the fasted (state of low basal gut hormones levels) and fed state (state of elevated post-prandial gut hormones levels) in their cohort and therefore cast doubt over the role of elevated gut hormones as observed in RYGB, in modulating food reward( Reference Ochner, Laferrère and Afifi 70 ). But the cohort size was small and the authors failed to measure actual levels of gut hormones, which is a limitation of this study.

Conclusion

Patients after RYGB eat less, feel less hungry, prefer healthier food options, derive less pleasure and are less preoccupied with food. These changes may account for its superior efficacy on weight loss compared with other procedures. The evidence supports changes within the sensory and hedonic domains of the taste pathway as well as conditioned food aversion following post-ingestive symptoms, to explain the switch in food preferences after RYGB surgery. The limited available data suggest that these effects are sustained for several years in patients after RYGB( Reference Brolin, Robertson and Kenler 17 , Reference Le Roux, Bueter and Theis 25 , Reference Graham, Murty and Bowrey 71 ). Additional long-term studies are therefore needed to confirm the durability of these effects on eating behaviour and weight.

The exaggerated release of gut hormones post RYGB has been implicated as a potential mediator of the observed changes in food preferences and weight loss. Their anorexigenic properties are already being exploited to treat obesity and gut hormones analogues are showing great promise( Reference Astrup, Rössner and Van Gaal 72 Reference Fosgerau and Hoffmann 75 ), for example, Liraglutide 3 mg, a GLP-1 agonist, has recently been approved as an anti-obesity drug in the USA and Europe. Perhaps the key to a ‘medical bypass’ relies on successfully mimicking the hormonal milieu of RYGB with the additive or even synergistic effects of combination gut hormones.

Financial Support

A. D. M. has received funding from an MRC Clinical Training Fellowship, MRC Centenary Award and an NIHR Clinical Lectureship. The Section is funded by grants from the MRC, BBSRC, NIHR, an Integrative Mammalian Biology (IMB) Capacity Building Award, an FP7-HEALTH-2009-241592 EuroCHIP grant and is supported by the NIHR Imperial Biomedical Research Centre Funding Scheme.

Conflicts of Interest

None.

Authorship

P. B. wrote the manuscript. A. D. M. reviewed and revised the manuscript.

References

1. World Health Organisation (2014) Fact sheet no 311: obeisty and overweight. August 2014. http://www.who.int/mediacentre/factsheets/fs311 Google Scholar
2. O'Brien, PE, McPhail, T, Chaston, TB et al. (2006) Systematic review of medium-term weight loss after bariatric operations. Obes Surg 16, 10321040.Google Scholar
3. Sjöström, L (2013) Review of the key results from the Swedish Obese Subjects (SOS) trial – a prospective controlled intervention study of bariatric surgery. J Intern Med 273, 219234.Google Scholar
4. Sjöström, L (2008) Bariatric surgery and reduction in morbidity and mortality: experiences from the SOS study. Int J Obes (Lond) 32, Suppl. 7, S93S97.Google Scholar
5. Miras, AD & le Roux, CW (2013) Mechanisms underlying weight loss after bariatric surgery. Nat Rev Gastroenterol Hepatol Nature Publ Group 10, 575584.Google Scholar
6. Le Roux, CW, Aylwin, SJB, Batterham, RL et al. (2006) Gut hormone profiles following bariatric surgery favor an anorectic state, facilitate weight loss, and improve metabolic parameters. Ann Surg 243, 108114.CrossRefGoogle ScholarPubMed
7. Sweeney, TE & Morton, JM (2014) Metabolic surgery: action via hormonal milieu changes, changes in bile acids or gut microbiota? A summary of the literature. Best Pract Res Clin Gastroenterol 28, 727740.Google Scholar
8. Rand, CS, Macgregor, AM & Hankins, GC (1987) Eating behavior after gastric bypass surgery for obesity. South Med J 80, 961964.Google Scholar
9. Dixon, AFR, Dixon, JB & O'Brien, PE (2005) Laparoscopic adjustable gastric banding induces prolonged satiety: a randomized blind crossover study. J Clin Endocrinol Metab 90, 813819.CrossRefGoogle ScholarPubMed
10. Halmi, KA, Mason, E, Falk, JR et al. (1981) Appetitive behavior after gastric bypass for obesity. Int J Obes 5, 457464.Google Scholar
11. Kruseman, M, Leimgruber, A, Zumbach, F et al. (2010) Dietary, weight, and psychological changes among patients with obesity, 8 years after gastric bypass. J Am Diet Assoc 110, 527534.Google Scholar
12. Brown, EK, Settle, EA & Van Rij, AM (1982) Food intake patterns of gastric bypass patients. J Am Diet Assoc 80, 437443.Google Scholar
13. Coughlin, K, Bell, RM, Bivins, BA et al. (1983) Preoperative and postoperative assessment of nutrient intakes in patients who have undergone gastric bypass surgery. Arch Surg 118, 813816.Google Scholar
14. Bavaresco, M, Paganini, S, Lima, TP et al. (2010) Nutritional course of patients submitted to bariatric surgery. Obes Surg 20, 716721.Google Scholar
15. Trostler, N, Mann, A, Zilberbush, N et al. (1995) Weight loss and food intake 18 months following vertical banded gastroplasty or gastric bypass for severe obesity. Obes Surg 5, 3951.Google Scholar
16. Sjöström, L, Lindroos, A-K, Peltonen, M et al. (2004) Lifestyle, diabetes, and cardiovascular risk factors 10 years after bariatric surgery. N Engl J Med 351, 26832693.Google Scholar
17. Brolin, RE, Robertson, LB, Kenler, HA et al. (1994) Weight loss and dietary intake after vertical banded gastroplasty and Roux-en-Y gastric bypass. Ann Surg 220, 782790.Google Scholar
18. Kenler, HA, Brolin, RE & Cody, RP (1990) Changes in eating behavior after horizontal gastroplasty and Roux-en-Y gastric bypass. Am J Clin Nutr 52, 8792.Google Scholar
19. Olbers, T, Björkman, S, Lindroos, A et al. (2006) Body composition, dietary intake, and energy expenditure after laparoscopic Roux-en-Y gastric bypass and laparoscopic vertical banded gastroplasty: a randomized clinical trial. Ann Surg 244, 715722.Google Scholar
20. Laurenius, A, Larsson, I, Melanson, KJ et al. (2013) Decreased energy density and changes in food selection following Roux-en-Y gastric bypass. Eur J Clin Nutr 67, 168173.Google Scholar
21. Bueter, M, Miras, aD, Chichger, H et al. (2011) Alterations of sucrose preference after Roux-en-Y gastric bypass. Physiol Behav 104, 709721.Google Scholar
22. Wilson-Pérez, HE, Chambers, AP, Sandoval, DA et al. (2013) The effect of vertical sleeve gastrectomy on food choice in rats. Int J Obes (Lond) 37, 288295.Google Scholar
23. Ernst, B, Thurnheer, M, Wilms, B et al. (2009) Differential changes in dietary habits after gastric bypass versus gastric banding operations. Obes Surg 19, 274280.CrossRefGoogle ScholarPubMed
24. Zheng, H, Shin, AC, Lenard, NR et al. (2009) Meal patterns, satiety, and food choice in a rat model of Roux-en-Y gastric bypass surgery. Am J Physiol Regul Integr Comp Physiol 297, R1273R1282.Google Scholar
25. Le Roux, CW, Bueter, M, Theis, N et al. (2011) Gastric bypass reduces fat intake and preference. Am J Physiol Regul Integr Comp Physiol 301, R1057R1066.Google Scholar
26. Saeidi, N, Nestoridi, E, Kucharczyk, J et al. (2012) Sleeve gastrectomy and Roux-en-Y gastric bypass exhibit differential effects on food preferences, nutrient absorption and energy expenditure in obese rats. Int J Obes (Lond) 36, 13961402.Google Scholar
27. Schoeller, DA (1995) Limitations in the assessment of dietary energy intake by self-report. Metabolism 44, 2 Suppl. 2, 1822.CrossRefGoogle ScholarPubMed
28. Dye, L, Blundell, JE (1997) Menstrual cycle and appetite control: implications for weight regulation. Hum Reprod 12, 11421151.Google Scholar
29. Spector, AC & Glendinning, JI (2009) Linking peripheral taste processes to behavior. Curr Opin Neurobiol 19, 370377.Google Scholar
30. Miras, AD & le Roux, CW (2010) Bariatric surgery and taste: novel mechanisms of weight loss. Curr Opin Gastroenterol 26, 140145.Google Scholar
31. Rolls, ET (2012) Taste, olfactory and food texture reward processing in the brain and the control of appetite. Proc Nutr Soc 71, 488501.Google Scholar
32. Henkin, RI & Bartter, FC (1966) Studies on olfactory thresholds in normal man and in patients with adrenal cortical insufficiency: the role of adrenal cortical steroids and of serum sodium concentration. J Clin Invest 45, 16311639.Google Scholar
33. Scruggs, D, Buffington, C & Cowan, G (1994) Taste acuity of the morbidly obese before and after gastric bypass surgery. Obes Surg 4, 2428.Google Scholar
34. Burge, JC, Schaumburg, JZ, Choban, PS et al. (1995) Changes in patients’ taste acuity after Roux-en-Y gastric bypass for clinically severe obesity. J Am Diet Assoc 95, 666670.Google Scholar
35. Pepino, MY, Bradley, D, Eagon, JC et al. (2014) Changes in taste perception and eating behavior after bariatric surgery-induced weight loss in women. Obesity (Silver Spring) 22, E13E20.Google Scholar
36. Small, DM, Jones-Gotman, M & Dagher, A (2003) Feeding-induced dopamine release in dorsal striatum correlates with meal pleasantness ratings in healthy human volunteers. Neuroimage 19, 17091715.Google Scholar
37. Wang, GJ, Volkow, ND, Logan, J et al. (2001) Brain dopamine and obesity. Lancet 357, 354357.Google Scholar
38. Dunn, JP, Cowan, RL, Volkow, ND et al. (2010) Decreased dopamine type 2 receptor availability after bariatric surgery: preliminary findings. Brain Res 1350, 123130.Google Scholar
39. Steele, KE, Prokopowicz, GP, Schweitzer, Ma et al. (2010) Alterations of central dopamine receptors before and after gastric bypass surgery. Obes Surg 20, 369374.Google Scholar
40. Rothemund, Y, Preuschhof, C, Bohner, G et al. (2007) Differential activation of the dorsal striatum by high-calorie visual food stimuli in obese individuals. Neuroimage 37, 410421.Google Scholar
41. Szalay, C, Aradi, M, Schwarcz, A et al. (2012) Gustatory perception alterations in obesity: an fMRI study. Brain Res 1473, 131140.Google Scholar
42. Rosenbaum, M, Sy, M, Pavlovich, K et al. (2008) Leptin reverses weight loss-induced changes in regional neural activity responses to visual food stimuli. J Clin Invest 118, 25832591.Google Scholar
43. Stice, E, Burger, K & Yokum, S (2013) Caloric deprivation increases responsivity of attention and reward brain regions to intake, anticipated intake, and images of palatable foods. Neuroimage 67, 322330.Google Scholar
44. Bruce, AS, Bruce, JM, Ness, AR, Lepping, RJ et al. (2014) A comparison of functional brain changes associated with surgical versus behavioral weight loss. Obesity 22, 337343.Google Scholar
45. Bruce, JM, Hancock, L, Bruce, A et al. (2012) Changes in brain activation to food pictures after adjustable gastric banding. Surg Obes Relat Dis 8, 602608.Google Scholar
46. Ullrich, J, Ernst, B, Wilms, B et al. (2013) The hedonic drive to consume palatable foods appears to be lower in gastric band carriers than in severely obese patients who have not undergone a bariatric surgery. Obes Surg 23, 474479.Google Scholar
47. Ochner, CN, Kwok, Y, Conceição, E et al. (2011) Selective reduction in neural responses to high calorie foods following gastric bypass surgery. Ann Surg 253, 502507.Google Scholar
48. Ochner, CN, Stice, E, Hutchins, E et al. (2012) Relation between changes in neural responsivity and reductions in desire to eat high-calorie foods following gastric bypass surgery. Neuroscience 209, 128135.CrossRefGoogle ScholarPubMed
49. Miras, AD, Jackson, RN, Jackson, SN et al. (2012) Gastric bypass surgery for obesity decreases the reward value of a sweet-fat stimulus as assessed in a progressive ratio task 1–3. Am J Clin Nutr 96, 467473.Google Scholar
50. Scholtz, S, Miras, AD, Chhina, N et al. (2014) Obese patients after gastric bypass surgery have lower brain-hedonic responses to food than after gastric banding. Gut 63, 891902.Google Scholar
51. Van de Sande-Lee, S, Pereira, FRS, Cintra, DE et al. (2011) Partial reversibility of hypothalamic dysfunction and changes in brain activity after body mass reduction in obese subjects. Diabetes 60, 16991704.Google Scholar
52. Frank, S, Wilms, B, Veit, R et al. (2014) Altered brain activity in severely obese women may recover after Roux-en Y gastric bypass surgery. Int J Obes (Lond) 38, 341348.Google Scholar
53. Goldman, RL, Canterberry, M, Borckardt, JJ et al. (2013) Executive control circuitry differentiates degree of success in weight loss following gastric-bypass surgery. Obesity 21, 21892196.Google Scholar
54. Epstein, LH, Paluch, R & Coleman, KJ. Differences in salivation to repeated food cues in obese and nonobese women. Psychosom Med 58, 160164.Google Scholar
55. Bond, DS, Raynor, HA, McCaffery, JM et al. (2010) Salivary habituation to food stimuli in successful weight loss maintainers, obese and normal-weight adults. Int J Obes (Lond) 34, 593596.Google Scholar
56. Mallory, G, Macgregor, A & Rand, C (1996) The influence of dumping on weight loss after gastric restrictive surgery for morbid obesity. Obes Surg 6, 474478.Google Scholar
57. Borg, CM, le Roux, CW, Ghatei, MA et al. (2006) Progressive rise in gut hormone levels after Roux-en-Y gastric bypass suggests gut adaptation and explains altered satiety. Br J Surg. 93, 210215.Google Scholar
58. Cummings, DE, Weigle, DS, Frayo, RS et al. (2002) Plasma ghrelin levels after diet-induced weight loss or gastric bypass surgery. N Engl J Med 346, 16231630.Google Scholar
59. Bose, M, Machineni, S, Oliván, B et al. (2010) Superior appetite hormone profile after equivalent weight loss by gastric bypass compared to gastric banding. Obesity 18, 10851091.Google Scholar
60. Le Roux, CW, Welbourn, R, Werling, M et al. (2007) Gut hormones as mediators of appetite and weight loss after Roux-en-Y gastric bypass. Ann Surg 246, 780785.Google Scholar
61. Dotson, CD, Geraedts, MCP & Munger, SD (2013) Peptide regulators of peripheral taste function. Semin Cell Dev Biol 24, 232239.CrossRefGoogle ScholarPubMed
62. Wynne, K, Park, AJ, Small, CJ et al. (2006) Oxyntomodulin increases energy expenditure in addition to decreasing energy intake in overweight and obese humans: a randomised controlled trial. Int J Obes (Lond) 30, 17291736.Google Scholar
63. Cohen, MA, Ellis, SM, Le Roux, CW et al. (2003) Oxyntomodulin suppresses appetite and reduces food intake in humans. J Clin Endocrinol Metab 88, 46964701.Google Scholar
64. Batterham, RL, Cowley, MA, Small, CJ et al. (2002) Gut hormone PYY(3–36) physiologically inhibits food intake. Nature 418, 650654.Google Scholar
65. Meeran, K, O'Shea, D, Edwards, CM et al. (1999) Repeated intracerebroventricular administration of glucagon-like peptide-1-(7–36) amide or exendin-(9–39) alters body weight in the rat. Endocrinology 140, 244250.Google Scholar
66. Verdich, C, Flint, A, Gutzwiller, JP et al. (2001) A meta-analysis of the effect of glucagon-like peptide-1 (7–36) amide on ad libitum energy intake in humans. J Clin Endocrinol Metab 86, 43824389.Google Scholar
67. De Silva, A, Salem, V, Long, CJ et al. (2011) 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 Metab 14, 700706.Google Scholar
68. Shin, Y-K, Martin, B, Golden, E et al. (2008) Modulation of taste sensitivity by GLP-1 signaling. J Neurochem 106, 455463.Google Scholar
69. Grill, HJ, Skibicka, KP & Hayes, MR (2007) Imaging obesity: fMRI, food reward, and feeding. Cell Metab 6, 423425.Google Scholar
70. Ochner, CN, Laferrère, B, Afifi, L et al. (2012) Neural responsivity to food cues in fasted and fed states pre and post gastric bypass surgery. Neurosci Res 74, 138143.Google Scholar
71. Graham, L, Murty, G & Bowrey, DJ (2014) Taste, smell and appetite change after Roux-en-Y gastric bypass surgery. Obes Surg 24, 14631468.CrossRefGoogle ScholarPubMed
72. Astrup, A, Rössner, S, Van Gaal, L et al. (2009) Effects of liraglutide in the treatment of obesity: a randomised, double-blind, placebo-controlled study. Lancet 374, 16061616.Google Scholar
73. Astrup, A, Carraro, R, Finer, N et al. (2012) Safety, tolerability and sustained weight loss over 2 years with the once-daily human GLP-1 analog, liraglutide. Int J Obes (Lond) 36, 843854.CrossRefGoogle ScholarPubMed
74. Wadden, TA, Hollander, P, Klein, S et al. (2013) Weight maintenance and additional weight loss with liraglutide after low-calorie-diet-induced weight loss: the SCALE Maintenance randomized study. Int J Obes (Lond) 37, 14431451.Google Scholar
75. Fosgerau, K & Hoffmann, T (2014) Peptide therapeutics: current status and future directions. Drug Discov Today 20, 122128.Google Scholar