Open Access

Association of melanocortin 4 receptor gene variation with satiation and gastric emptying in overweight and obese adults

  • Andres Acosta1,
  • Michael Camilleri1Email author,
  • Andrea Shin1,
  • Paula Carlson1,
  • Duane Burton1,
  • Jessica O’Neill1,
  • Deborah Eckert1 and
  • Alan R. Zinsmeister2
Genes & NutritionStudying the relationship between genetics and nutrition in the improvement of human health20149:384

https://doi.org/10.1007/s12263-014-0384-8

Received: 16 August 2013

Accepted: 11 January 2014

Published: 24 January 2014

Abstract

Melanocortin 4 receptor (MC4R) has a major role in energy homeostasis. The rs17782313 polymorphism, mapped 188 kb downstream from MC4R, has been associated with satiety, higher body mass index (BMI) and total calorie intake in adults. To assess the association of rs17782313 with gastric functions, satiation, or satiety, we studied 178 predominantly Caucasian overweight and obese people: 120 females, 58 males; mean BMI 33.4 ± 5.3 kg/m2 (SD); age 37.7 ± 11.2 years. Quantitative traits assessed were gastric emptying (GE) of solids and liquids; fasting and postprandial gastric volume; satiation by maximum tolerated volume and 4 symptoms by 100-mm visual analog scales (VAS); and satiety by ad libitum buffet meal. Associations of genotype and quantitative traits were assessed by analysis of covariance (using gender and BMI as covariates), based on a dominant [TC (n = 72) − CC (n = 12) vs. TT (n = 94)] genetic model. rs17782313(C) was associated with postprandial satiation symptoms (median Δ total VAS 26.5 mm, p = 0.036), reduced proportion of solid GE at 2 h (median Δ 6.7 %, p = 0.008) and 4 h (median Δ 3.2 %, p = 0.006), and longer t ½ (median Δ 6 min, p = 0.034). Associations of rs17782313 with obesity may be explained by reduced satiation and GE. The role of MC4R mechanisms in satiation and gastric function deserves further study.

Keywords

Melanocortin 4 receptor (MC4R)rs17782313SatiationGastric emptyingObesity

Introduction

Melanocortin (MC) pathway plays a major role in energy homeostasis. The melanocortin pathway is derived from products of the proopiomelanocortin (POMC) gene that is α-MSH, β-MSH, γ-MSH, and ACTH (Adan et al. 2006). These peptides are agonists of the melanocortin receptors. The melanocortin 4 receptor (MC4R) is a key regulator of energy homeostasis, inducing energy expenditure and decreasing food intake. MC4R is a G protein-coupled receptor which is activated by α-MSH and blocked by Agouti-related peptide (Hinney et al. 2013). MC4R has been associated with key components of nutrient absorption, lipid metabolism, energy expenditure, thermogenesis, adiposity, insulin secretion, food intake, and appetite (Adan et al. 2006). Moreover, the MC pathway interacts with other key hormones or pathways such as leptin, 5-HT (Zhou et al. 2007), NPY, AGRP, POMC (Biebermann et al. 2012), and ANS (Rossi et al. 2011; Sohn et al. 2013) in the hypothalamus and brainstem (Loos 2011), GLP-1 pathway (Gautron et al. 2010), CCK, and vagal afferent fibers (Guan et al. 2012).

MC4R deficiency is the most common monogenic cause of obesity [up to 6 % (Loos 2011)]. There are 166 SNPs or mutations of MC4R reported thus far, mainly in obese subjects (Frayling et al. 2007; Hinney et al. 2013). The functional MC4R mutations (missense, frameshift, nonsense, or deletion) are associated with severe childhood obesity (Hinney et al. 2013). Conversely, the MC4R V103I and I251L polymorphisms are associated with reduced risk of obesity. The polymorphism rs17782313, mapped 188 kb downstream from MC4R, is strongly associated with obesity and higher body mass index (BMI) (Frayling et al. 2007; Loos et al. 2008; Vogel et al. 2011) alone or in association with other obesity-related genes, such as FTO (Marcadenti et al. 2013). A GWAS study of 60,000 adults indicated that rs17782313(C) alleles are associated with higher BMI, with even greater effect in children. The average increase in BMI was 0.22 kg/m2. The polymorphism rs17782313 is associated with satiety in American, European, and Chilean children (Beckers et al. 2011; Czerwensky et al. 2013; Qi et al. 2008; Stutzmann et al. 2009; Valladares et al. 2010; Xi et al. 2012) as well as with higher intake of total calories, fat, and protein (Beckers et al. 2011; Loos 2011; Qi et al. 2008; Scherag et al. 2010; Valette et al. 2013). In a systematic review of 61 studies (involving 80,957 obese and 220,223 controls), rs17782313 polymorphism was significantly associated with obesity risk (OR 1.18, 95 % CI 1.15–1.21, p = 0.001) (Xi et al. 2012). The effects of MC4R and rs17782313 polymorphisms on eating behavior were recently reviewed by Valette et al. (2012) and Hinney et al. 2013 These large population-based studies focused on body mass phenotype and indicated a relationship between rs17782313 and obesity. In addition, there are mechanistic insights that suggest the genetic variation rs17782313 may influence ‘reward’ mechanisms, particularly in females. A recent study showed that, in female homozygous carriers of the risk allele, there is significant increase in gray matter volume in the right amygdala (a region known to influence eating behavior) and in the right hippocampus, which is crucial for memory formation and learning (Horstmann et al. 2013). Similarly, there is evidence that cerebral insulin resistance may contribute to the obesity effect of rs17782313(C) (Tschritter et al. 2011). It is unclear whether rs17782313 polymorphism alters gastric motor function, satiation, and satiety. Thus, the aim of our study was to determine whether rs17782313 polymorphism is associated with gastric motor functions, satiation, or satiety in overweight and obese people.

Methods and procedures

Participants

The method of recruitment for our study of 178 predominantly Caucasian overweight or obese participants was similar to that described elsewhere (Papathanasopoulos et al. 2010). We obtained approval from the Mayo Clinic Institutional Review Board to use stored DNA in accordance with written informed consent from participants in a study on the genetic predisposition to obesity (NIH DK67071). The main inclusion criteria were men or women with BMI above 25 kg/m2, age 18–65 years, residing within 150 miles of Rochester, Minnesota, and not on current treatment for other diseases. Exclusion criteria were a positive history of any systemic disease that could affect gastrointestinal motility, and use of medications that alter gastrointestinal motility, appetite, or absorption (e.g., orlistat). Permissible medications were multivitamins, birth control pills, estrogen, and thyroxine replacement, all at stable doses for at least 30 days prior to the quantitative studies. Women of childbearing potential had a negative pregnancy test within 48 h before any radioisotopes were administered.

Experimental protocol

The study was approved by the Mayo Clinic Institutional Review Board, and all participants gave written informed consent following thorough explanation of the study details. On different days, they presented to the Mayo Clinic Clinical Research Unit at 7:00 a.m. after an 8-h fasting period and underwent a dual-isotope [99mTc (technetium) and 111In (indium)] gastric emptying (GE) scintigraphic study, a nutrient drink satiation test, and a gastric accommodation study by means of single-photon emission computed tomography (SPECT), in that order (Papathanasopoulos et al. 2010). Gastric emptying and SPECT studies were performed at least 72 h apart to avoid downscatter interference by 111In from the meal ingested during the GE study with the measurement of gastric volume (GV) by 99mTc-SPECT.

Gastric emptying study with scintigraphy

Participants ingested a solid and liquid caloric meal (total calories: 296 kcal, 32 % protein, 35 % fat, 33 % carbohydrate) in which both phases of the meal were radiolabeled: 1.0 mCi 99mTc-sulfur colloid was added to two raw eggs during the scrambling and cooking process. The scrambled eggs were served on one slice of bread with 240 mL of skim milk labeled with 0.1 mCi 111In-DTPA. Anterior and posterior gamma camera images were obtained immediately after radiolabeled meal ingestion, then every 15 min for the first 2 h, followed by every 30 min for the next 2 h [total of 4 h after the radiolabeled meal (Papathanasopoulos et al. 2010)]. Data were analyzed as in previous studies (Vazquez Roque et al. 2006). Geometric mean of counts in gastric regions of interest on anterior and posterior images was used (after correction for radioisotope decay and downscatter from the 111In to the 99mTc window) to estimate the proportion of 99mTc or 111In emptied from the stomach at each time point. Gastric emptying t ½ for solids and liquids, defined as the time which elapses until 50 % of the meal is emptied, was estimated by linear interpolation of the data at each time point.

Gastric volume and accommodation assessment with 99mTc-SPECT

We measured GV during fasting and 30 min after 300 mL of Ensure® (316 kcal) using noninvasive SPECT. The method has been previously validated (Cremonini et al. 2002). Intravenous injection of 99mTc sodium pertechnetate, which is taken up by the parietal and nonparietal cells of the gastric mucosa, allows visualization of the stomach wall. Tomographic images of the gastric wall were obtained throughout the long axis of the stomach using a dual-head gamma camera (Siemens MSII, Malvern, PA, USA) that rotates around the body. The radiolabeled circumference of the gastric wall (rather than the intra-gastric content) was thus identified. Using the AVW 3.0 (Biomedical Imaging, Mayo Foundation, Rochester, MN, USA) image processing libraries, a three-dimensional rendering of the stomach was obtained and its volume (mL) calculated. There is high intra-observer reproducibility to measure GV with this technique (Bouras et al. 2002). The inter-individual coefficient of variation (COVINTER) for all subjects in a study from our laboratory (n = 433) was 32.6 % fasting, 16.0 % fed, and 19.0 % for the Δ volume fed−fasting. The intra-individual COV (COVINTRA) for 47 subjects with repeat estimates of GV was 37.0 % fasting, 17.6 % fed, and 22.0 % for the Δ volume fed−fasting. COVINTRA was stable over a period from 2 to 60 months (De Schepper et al. 2004). There were no significant differences by gender.

Nutrient drink satiation test

We used a validated nutrient drink test (Breen et al. 2011) to measure satiation and postprandial symptoms when drinking a liquid nutrient at a rate of 120 mL every 4 min (Ensure®: 1 kcal mL−1, 11 % fat, 73 % carbohydrate and 16 % protein). Participants scored the level of fullness or satiation using a scale combining verbal descriptors and numbers (0 = no symptoms; 5 = maximum or unbearable fullness/satiation). Nutrient intake was stopped when subjects reached the score of 5, with maximum satiation indicated by the maximum tolerated volume of Ensure®. Postprandial symptoms of fullness, nausea, bloating, and pain were recorded 30 min after the meal using 100-mm horizontal visual analog scales, with the words ‘none’ and ‘worst ever’ anchored at the left and right ends of the lines for each symptom.

Satiety measurement by ad libitum meal

Four hours after ingesting 300 mL liquid nutrient as part of the SPECT study, participants were invited to eat, over a 30-min period, a standard ad libitum meal that included vegetable lasagna [Stouffers®, Nestle USA, Inc., Solon, OH; nutritional analysis of each 326-g box: 420 kcal, 17 g protein (16 % of energy), 38 g carbohydrate (37 % of energy), and 22 g fat (47 % of energy)], vanilla pudding [Hunts®, Kraft Foods North America, Tarrytown, NY; nutritional analysis of each 99-g carton: 130 kcal, 1 g protein (3 % of energy), 21 g carbohydrate (65 % of energy), and 4.5 g fat (32 % of energy)], and skim milk [nutritional analysis of each 236-mL carton: 90 kcal, 8 g protein (36 % of energy), 13 g carbohydrate (64 % of energy), and 0 g fat]. The total amount (g and kcal) of food consumed at the ad libitum meal was analyzed by using validated software (ProNutra version 3.0®; Viocare Technologies Inc, Princeton, NJ, USA).

Determination of genotypes

DNA was extracted from whole blood as previously described (Papathanasopoulos et al. 2010). Genotyping of rs17782313 was performed using Taqman® SNP genotyping assays (2012) in accordance with the manufacturer’s instructions (Taqman® SNP Genotyping Assays 2012).

Statistical analysis

All data are presented as mean ± SEM, medians ± IQR, or percentages, as noted. The univariate associations of subject characteristics and response measures (e.g., GE t ½ values) with overall genotype were assessed using Fisher’s exact test (e.g., association with categorical variables like gender) and analysis of covariance (ANCOVA), adjusting for gender and BMI, to assess the association with the quantitative traits and the genotype, with exception of the liquid GE which was assessed using the Kruskal–Wallis test. These analyses were done using the dominant genetic model that pools the minor allele homozygote with the heterozygote genotype: TC plus CC versus TT for the rs17782313 genotypes. The grouping was based on prior demonstration that the disease-predisposing allele is the C allele for the MC4R rs17782313 genotype (Loos et al. 2008). This assumes the single allele has a biologic effect.

A sample size assessment for detecting clinically relevant associations for the rs17782313 genotype was examined by estimating the differences between two groups (i.e., assuming a dominant genetic model) that could be detected given the observed variation in the measured responses and the number of subjects that were obtained in each genotype group [TC (n = 72)–CC (n = 12) vs. TT (n = 94)]. The differences between groups that could be detected with approximately 80 % power (two-sided α level of 0.05) using a two-sample t test [assuming the listed pooled standard deviation (SD)] were described previously (Vazquez-Roque et al. 2011). Except for GE (two endpoints), each physiologic response corresponds to a distinct null hypothesis (e.g., association of genotype of interest with nutrient drink test maximum tolerated volume, i.e., satiation). Therefore, we did not correct for assessing associations with multiple intermediate phenotypes. A p value <0.05 was considered to be statistically significant except in the assessment of the association between genotype and GE (α level of 0.025 in view of two comparisons for solids and liquids). The analyses used the SAS® statistical package (version 9.3, SAS Institute, Cary, NC, USA).

Results

Subject characteristics

Demographic characteristics of individuals in each genotype group are outlined in Table 1. We recruited 178 overweight and obese participants, 120 females and 58 males, with a mean BMI of 33.4 ± 5.3 (SD) kg/m2 and age of 37.7 + 11.2 years. The participants were predominantly Caucasians. There were no significant overall associations of any genotype with age, gender, race, BMI, or weight.
Table 1

Subjects’ characteristics by genotype (summary values are mean ± SEM, unless otherwise indicated)

Genotype

rs17782313

TT

TC

CC

n

94

72

12

Females (%)

69.15

63.89

75

Race [caucasian (%)]

93.62

88.89

100

Age (years)

38.23 ± 1.26

37.28 ± 1.2

35.8 ± 2.3

BMI (kg/m2)

33.47 ± 0.58

33.52 ± 0.62

32.42 ± 0.99

Fisher’s exact test applied for gender; Kruskal–Wallis test for age, weight, and BMI

Relationship of rs17782313 genotype with satiation

rs17782313(C) was associated with postprandial satiation symptom score (median Δ between genotype groups total symptom score 26.5 mm, p = 0.036), but there was no significant association with maximal tolerated volume of the liquid nutrient drink. The postprandial satiation symptom score difference was mainly due to a significant association with postprandial nausea (median Δ 9.5 mm, p = 0.016). There was no association with postprandial fullness, bloating, or pain (Table 2).
Table 2

Association of rs17782313 with satiation [results are median (IQR); associations assessed using the dominant genetic model (TT vs. CC and TC)]

rs17782313

n

Postprandial satiation with maximal intake of liquid nutrient drink

MTV (mL)

Nausea

Fullness

Bloating

Pain

Total symptom score (max 400)

TT

94

1,302 (948–1,425)

24 (5–62)a

76 (65–84)

59 (42–76)

11.5 (2–43)

183 (131–244)a

TC

72

1,185 (977–1,422)

15 (1–50)

72 (60–82)

54 (36–69)

11.5 (0–31)

161 (126–207)

CC

12

1,244 (1,066–1,516)

14 (6–28)

71.5 (64–76)

53 (34–65)

5.5 (2–11)

151 (128–165)

CC–TC

84

1,185 (1,005–1,422)

15 (2–46)

72 (60–81)

54 (36–68)

8 (0–28)

156 (126–199)

aTT versus CC + TC groups by the dominant genetic model p < 0.05

Relationship of rs17782313 genotype with gastric motor functions

rs17782313(C) was associated with delayed proportion of solid GE at 2 h (median Δ 6.7 %; p = 0.008) and 4 h (median Δ 3.2 %; p = 0.006), and t ½ (median Δ 6 min; p = 0.034) (Table 3). There were no significant associations of rs17782313 with GE of liquids, fasting GV and accommodation volume, and satiety (Table 4).
Table 3

Association of rs17782313 with gastric emptying of solids [results are median (IQR); associations assessed using the dominant genetic model (TT vs. CC/TC)]

rs17782313

n

Gastric emptying solids

Proportion emptied by 2 h

Proportion emptied by 4 h

GE t ½ (min)

TT

94

0.65 (0.33–0.73)a

0.97 (0.95–0.99)a

93.75 (78–108)a

TC

72

0.60 (0.51–0.70)

0.96 (0.92–0.98)

99 (86–118)

CC

12

0.56 (0.50–0.70)

0.93 (0.90–0.98)

100 (86–121)

CC–TC

84

0.60 (0.50–0.71)

0.95 (0.92–0.98)

100 (86–119)

aTT versus CC + TC, p < 0.05

Table 4

Association of rs17782313 with gastric emptying of liquids, gastric volume and accommodation, and satiety [results are median (IQR); associations assessed using the dominant genetic model]

 

rs17782313

CC

CT

TT

Liquid GE 2 h (%)

0.89 (0.86–0.94)

0.89 (0.86–0.92)

0.90 (0.88–0.94)

Liquid GE t ½ (min)

17.4 (12–22)

17.4 (14–23)

15.7 (13–22)

Gastric volume fasting (mL)

238 (185–290)

266 (230–329)

267 (228–319)

Gastric volume fed (mL)

784 (691–840)

749.7 (665–857)

768 (702–830)

Gastric accommodation volume ()

495 (462–607)

467 (420–551)

491 (419–550)

Buffet meal (kcal)

898 (769–1,156)

911 (777–1,134)

905 (721–1,170)

Buffet meal protein (%)

22.3 (22–24)

23.6 (22–25)

22.4 (21–24)

Buffet meal fat (%)

23.6 (22–30)

24 (22–25)

23.7 (22–26)

Buffet meal carbohydrate (%)

51.9 (49–56)

53.2 (50–55)

53.7 (51–56)

Discussion

In population studies, the gene variation rs17782313 (nearest gene, MC4R) has been associated with higher BMI and food intake (Beckers et al. 2011; Qi et al. 2008; Stutzmann et al. 2009; Valladares et al. 2010; Vogel et al. 2011; Xi et al. 2012). In this study in humans, we explored the associations of this gene variation with gastric motor function, satiation, and satiety. The gene variation rs17782313(C) was significantly associated with satiation and GE of solids. There were no associations with GE of liquids, GV and accommodation, and satiety.

MC4R is a key regulator of energy homeostasis, inducing energy expenditure and decreasing food intake. We report here that individuals with C allele (CC or TC genotype) rs17782313 polymorphism have ~25 % less postprandial satiation symptoms compared with the TT genotype after ingestion of a fully satiating meal, individualized for each participant. The difference in postprandial satiation symptoms was explained by individuals with the C allele having 60 % less postprandial nausea when compared with the TT allele. There were no significant differences in the other postprandial satiation symptoms of fullness, bloating, and pain.

Interestingly, individuals with the C alleles had a maximal tolerated volume on average 87.5 mL lower than individual with the T allele. This difference (<6.7 % of the average maximum tolerated volume) did not reach statistical significance, but it is equivalent to 91.9 kcal (Ensure® 1.05 kcal per mL). Our findings may suggest that the rs17782313(C) polymorphism is associated with a decrease in postprandial satiation symptoms, suggesting that such individuals’ response to a high-caloric meal may be better tolerated with less satiation than in individuals with a T allele. Postprandial satiation symptoms are related to meal termination and subsequent increase in appetite and caloric intake in the next meal. Thus, it is conceivable that individuals with rs17782313(C) polymorphism may ingest more frequent meals, resulting in a higher daily caloric intake. Therefore, our findings extend the observations of prior population studies (Beckers et al. 2011; Qi et al. 2008; Stutzmann et al. 2009; Valladares et al. 2010; Vogel et al. 2011; Xi et al. 2012) and suggest that rs17782313(C) polymorphism may be associated with higher BMI due to decreased postprandial satiation symptoms.

Additionally, we report that the individuals with rs17782313(C) polymorphism had a 6.7 and 3.2 % slower GE of solids at 2 and 4 h, respectively, when compared with individual with the TT genotype. This was also evident in the 6-min difference in GE t ½ of solids (being slower in those with C allele compared with the TT genotype). The origin of postprandial symptoms in obese individuals may reflect either delay in GE or increased sensitivity or acceleration of GE, the latter being presumed to result in symptoms from intestinal distention (Delgado-Aros et al. 2004). The finding of slightly slower, though statistically significant, GE could be consistent with the hypothesis that reduced emptying in those individuals with the C allele results in less symptoms from intestinal distension. Further studies are needed to explore these hypotheses, including assessing the calorie intake over prolonged periods, not just an ad libitum meal, in the different groups based on rs17782313 variation.

Our findings could support the evidence that, in rodents, MC4R plays a major role in mediating satiation and food intake (Gautron et al. 2010) and that the MC4R pathway activates the area postrema in the brainstem (Rowland et al. 2010), which is the major regulator of the nausea and vomiting center. In rodents, MC4R agonists, such as melanotan-II (MTII), activate the area postrema in wild-type mice, but not in MC4R knockout mice, suggesting a lack of neural activation in the knockout mice (Rowland et al. 2010). Our main findings suggest that rs17782313(C) polymorphism decreases the postprandial nausea response to a high-caloric meal ingested to maximum tolerance, which may induce nausea or vomiting as a normal response. Although the functional effects of this polymorphism have not been demonstrated in an animal model, our data are consistent with the hypothesis that rs17782313(C) polymorphism may down-regulate the MC4R function, reduce neural activation (as observed in MC4R knockout mice), decrease the nausea in response to overeating, decrease postprandial satiation and, ultimately, could lead to increased BMI in humans.

Additionally, MC4R rs17782313(C) polymorphism may alter the expression of MC4R receptors located on efferent vagal neurons; these MC4R receptors on vagal neurons are known to be associated with increased satiation and regulation of gastric function (Balthasar et al. 2005; Fan et al. 2004; Gautron et al. 2010; Wan et al. 2008). Further studies are needed to determine whether MC4R agonist targeting obesity and metabolic syndrome would have different effects depending on the genotype of the rs17782313 polymorphisms.

In summary, our data suggest that genetic variation of rs17782313, mapped 188 kb downstream from MC4R, is associated with satiation and gastric motor function. The rs17782313(C) polymorphism confirms the concept that the genetic variations in MC4R may predispose to obesity. The combination of studies of genotype–intermediate phenotype associated with satiation may help understand the effect of MC4R in obesity and the potential for MC4R agonists in the treatment for obesity.

Declarations

Acknowledgments

The authors thank Mrs. Cindy Stanislav for secretarial assistance. Dr. Camilleri is supported by NIH RO1-DK067071 for studies in obesity.

Conflict of interest

The authors declare no conflicts.

Authors’ Affiliations

(1)
Clinical Enteric Neuroscience Translational and Epidemiological Research (C.E.N.T.E.R.), Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic
(2)
Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, College of Medicine, Mayo Clinic

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