Literature DB >> 31819319

GLUCAGON-LIKE PEPTIDE-1 AFFECTS TASTE PERCEPTION DIFFERENTLY IN WOMEN: A RANDOMIZED, PLACEBO-CONTROLLED CROSSOVER STUDY.

Maja Baretić1, Vesna Kušec1, Valentina Uroić1, Ivana Pavlić-Renar1, Velimir Altabas1.   

Abstract

Gastrointestinal tract is an important connector between food intake and body weight, it senses basic tastes in a similar manner as the tongue. The aim of the study was to find out how gut hormone glucagon-like peptide-1 (GLP-1) influences taste preference. Fourteen healthy participants (six male and eight female) were included in this double-blind, placebo-controlled crossover study. After overnight fast and salty fluid (oral sodium load), participants were randomized to receive placebo (500 mL of 0.9% saline) or GLP-1 infusion (1.5 pmol/kg/min) over a 3-hour period. At the end of infusion, participants chose food preferences from illustrations of food types representing 5 tastes. After 7 days, the protocol was repeated, this time those that had received placebo first got GLP-1 infusion, and those having received GLP-1 first got placebo. Change of taste preference after GLP-1 infusion but not after placebo was reported as response, and non-response was reported in case of taste persistence. A statistically significant difference in response type was found between genders, with women being more likely to change their taste preference after GLP-1 than men. The change of taste upon GLP-1 infusion observed in women might be ascribed to estrogen weight-lowering effects accomplished by receptor-mediated delivery.

Entities:  

Keywords:  Cross-over studies; Double-blind method; Food preferences; Glucagon-like peptide 1; Taste

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Substances:

Year:  2019        PMID: 31819319      PMCID: PMC6884376          DOI: 10.20471/acc.2019.58.02.06

Source DB:  PubMed          Journal:  Acta Clin Croat        ISSN: 0353-9466            Impact factor:   0.780


Introduction

Incretins are substances secreted in the gut after a meal. The incretin hormone glucagon-like peptide-1 (GLP-1) is released from intestinal enteroendocrine L cells in response to a carbohydrate meal. GLP-1 has many levels of action, but currently it is primarily known for its effect on beta cells (the peptide lowers blood sugar by stimulating insulin secretion, which augments pancreas response within a safe glycemic range without inducing hypoglycemia). GLP-1 reduces gastric emptying, lowers appetite by promoting satiety via hypothalamic receptors and reduces food intake. As a consequence, GLP-1 action promotes weight loss (). GLP-1 receptor agonists are injectable hypoglycemic agents, they regulate glucose level and promote weight loss. One of these agents, liraglutide, is currently indicated at a higher dosage for the treatment of obesity (). Few clinical studies have demonstrated the important association of GLP-1 and different food preferences in humans. In patients with diabetes type 2, GLP-1 had an effect on appetite via enhanced satiety and reduced energy intake (). Intravenous infusions of GLP-1 decreased spontaneous food intake in healthy non-obese males (). In addition, the process of chewing can increase satiety and reduce the decrease in GLP-1 concentration (), and a relationship was found between various styles of mastication and GLP-1 secretion (). Data on the effects of GLP-1 on taste preference are not available. To date, there is no specific group of patients identified as GLP-1 receptor agonist ‘responders’ or ‘non-responders’ with respect to weight loss. Some patients report a diminished craving for food and/or a change in food preference with GLP-1 therapy. The hypothesis is that there are some predictors in a group of healthy normal weight people that could explain responsiveness to infusion of native GLP-1 regarding different food preference. The aim of this study was to investigate whether GLP-1 may influence taste preference and cause changes in some metabolic parameters.

Subjects and Methods

The study was conducted at the Division of Endocrinology, Department of Internal Medicine, Zagreb University Hospital Centre. It was approved by the Ethics Committee of the Zagreb University Hospital Centre and registered at ClinicalTrials.gov Identifier: NCT02130778. Fourteen healthy non obese (body mass index (BMI) <30) participants (six male and eight female, mean age 37.4 years, range 29-64) were randomized for a mechanism based driven, double-blind, placebo-controlled crossover study. The participants were randomized from the group of healthy volunteers. One participant was excluded post-randomization (Fig. 1).
Fig. 1

Flow diagram of the study.

Flow diagram of the study. Insulin sensitivity was estimated by simultaneously measured fasting plasma glucose (mean fasting glucose 4.4 mmol/L, range 3.8-5.1) and fasting plasma insulin (mean fasting insulin 6.9 mU/L, range 3.3-17) using the Homeostasis Model Assessment (HOMA) Calculator (University of Oxford 2013) (). Assessment included HOMA insulin resistance (IR) (mean HOMA IR 0.84, range 0.41-2.12), beta cell function HOMA2B (mean %B 112.1, range 84.1-191) and insulin sensitivity HOMA2S (mean %S 119.95, range 47.1-246.2). Baseline GLP-1 was measured in fasting state (mean 13.27 pmol/L, range 0-17). Body composition was estimated using bioelectrical impedance analysis (mean fat percentage 19.9%, range 14-32; mean fat mass 15.3 kg, range 7.9-20.1; mean muscle mass 20.16 kg, range 38.1-77.4; and mean visceral fat rating (VFR) 3.92, range 1-7). Bioimpedance assessment was performed using body composition analyzer model TANITA SC-330 (Tanita Europe B:V: 2004). The BMI of study subjects was between 18 and 28 kg/m2. Subjects with BMI >25 kg/m2 met the inclusion criterion of normal fat percentage; the mean BMI was 23.15 kg/m2 (range 18.1- 28.4). Synthetic human GLP-1 was obtained from Bachem (Bubendorf, Switzerland). The peptide content was used in a calculated dosage dissolved in 0.9% saline solution. Placebo was 0.9% saline solution. The soup used in the trial served as an oral sodium load, and its volume was 0.5 L with 12 g NaCl (mean daily salt intake in Croatia). The nutrient content of the ingested soup included virtually no fat, proteins or sugar, with only a small amount of flavor enhancer (monosodium glutamate) and artificial food coloring. The soup concentrate was dissolved in standard bottled water. The same bottled water brand (natural artesian water, calcium/magnesium ratio 2:1, pH 7.4) was served as a drink after the soup. Food map was designed by a registered dietitian. The map consists of five pictures. Each picture is a selection of food representing one particular taste (sweet, sour, salty, bitter and umami). The selected food has one dominant, easily recognizable taste. Blood for GLP-1 assessment was drawn through the antecubital cannula into syringes with EDTA (6 mol/L) and aprotinin (1000 kIU/L) and kept on ice. After centrifugation, plasma samples were kept frozen at -20 °C until analysis. GLP-1 was determined by the Active GLP-1 (7-36) ELISA ALPCO diagnostic kit. Standard laboratory methods were used for measurement of laboratory parameters.

Statistical analysis

Data were analyzed using SPSS software (IBM SPSS Statistics for Windows, Version 24.0. Armonk, NY: IBM Corp.). Descriptive statistics was used to describe the basic features of the study sample. Since Kolmogorov-Smirnov test for normality of distribution showed some variables deviating significantly from normal distribution, non-parametric indicators were also shown as descriptive data. So, for continuous variables, mean ± standard deviation, and median and interquartile range were used to describe initial data. Binary or categorical outcome variables were analyzed using χ2-test for comparison of genders in the two groups: 2x5 contingency χ2 was used for comparison of the choice of food after placebo or GLP-1 infusion, and 2x2 contingency χ2 was used for comparison of genders according to response to placebo or GLP-1 infusion. Independent samples t-test was used to compare responders and non-responders according to laboratory and body composition parameters (body fat percentage). Since Levene’s test showed a statistically significant difference suggesting that variances were not homogeneous for some variables, we used the t-test level of significance when ‘equal variances were not assumed’ to compensate for the lack of homogeneity. Two-way repeated measures ANOVA was used to determine whether the level of insulin changed across the 3 measurement points (baseline, at 3 h and at 6 h of starting infusion), using Bonferroni correction for multiple comparisons. A significance level of 5% was used throughout the analysis. Sample size was not calculated prior to the study. Rather, it was limited due to expenses of the study protocol, testing procedures and availability of participants since repeated measures were required to obtain necessary data. Also, the sample size corresponded to previous studies performed with a similar protocol, which included 12-16 participants (, ). Post-hoc power analysis using free software GPower 3.1 showed very low power of analysis, given the sample size n=14, alpha error of probability 0.05, and two-way statistical significance (post hoc power 0.20 for χ2-tests, 0.15 for independent samples t-tests, and 0.19 for repeated measures ANOVA) ().

Study protocol

Before being enrolled in the study (screening), the participants completed a medical history interview. Female participants were not menopausal women; they all had regular menstrual cycles and proper methods of contraception (median age of female participants was 33 years, range 30-45). None of the participants reported food neophobia and/or ‘picky/fussy’ eating, either currently or in childhood. All participants had normal glycemia; diabetes was excluded based on the standard glucose tolerance test, according to the American Diabetes Association guidelines (, ). There were no smokers and currently had no chronic diseases. They were instructed to come next day fasting for the first visit (Fig. 1). Randomization was performed by a co-worker not included in the study. Eight subjects were randomized to receive infusion with GLP-1 first and then placebo; another seven subjects were randomized to receive placebo first and then infusion with GLP-1. At the first visit, participants signed their informed consent. Blood was drawn for laboratory analysis and routine physical examination and bioimpedance assessment was performed. On the second visit day, participants arrived to the research unit in the morning after overnight fast. Initially, oral saline load was delivered in the form of a standardized meal (soup). The soup was consumed in 30 minutes; a sodium-containing meal was used because it might improve the overall flavor. Participants were instructed to drink 1/2 L of bottled water during the next 1 hour. In addition to the soup and water, saline infusion with or without GLP-1 (1.5 pmol/kg/min) was administered at a rate of 0.06 mL/kg/min over 3 h from the beginning of oral sodium load. The investigators and nurses performing the procedure were blinded to the test conditions; the solutions were prepared by a technician not involved with study participants. Blood samples were obtained at 180 min and 360 min from the beginning of infusion. At the end of the infusion, illustrations of food types were presented and the participants were instructed to select the most desirable food item. They were instructed to return after at least 7 days for a third visit, fasting as before. The same procedure as on visit 2 was performed on visit 3; in one visit they received saline infusion with and in another without GLP-1 (1.5 pmol/kg/min).

Results

All 15 participants underwent the same protocol as described; one participant randomized to receive infusion with GLP-1 first was excluded due to significant age difference, in order to retain group homogeneity according to age. This female subject was more than 30 years older than mean age of others included in the study and was excluded due to the fact that taste buds diminish as people get older, resulting in declining gustatory function, although age was not an exclusion criterion. Seven of the 14 subjects analyzed gave different answers to the question: “What would you like most to eat right now” after placebo (saline) infusion and after GLP-1 infusion. These subjects were considered responders (with change of taste preference). Among responders, the most common taste preference following placebo was sweet (3 of 7 responders). Following GLP-1 infusion, sweet was again the most prevalent taste (3 of 7 responders), although present in those participants who had another taste preference following placebo. There was no statistically significant difference between specific taste preference following placebo and GLP-1 infusion. In the responder group, four subjects received GLP-1 infusion first and three subjects received placebo first, suggesting that this order of infusion made no difference. Seven of them gave identical answers to the same question after placebo or GLP-1 infusion; these participants were considered non-responders (without change of taste). Table 1 shows characteristics of these two groups. An analysis was conducted to compare age, BMI, fat percentage, fat and muscle mass, VFR, fasting glucose and glucose after 2-hour glucose tolerance test, baseline insulin, baseline GLP-1, HOMAB%, HOMA IR and HOMA 2S between the two groups. There were no statistically significant differences between the groups of responders and non-responders in the above measures (p>0.05 all), except for initial muscle mass, which was significantly higher in non-responders than in responders.
Table 1

Characteristics of study participants

T-testKolmogorov-Smirnov testTaste change
Non-respondersResponders
pZpMeanSDMedian25th percentile75th percentileMeanSDMedian25th percentile75th percentile
Age0.4840.2210.0633783430±463483328±44
BMI0.2190.1070.20024.12.624.321.4±25.422.22.822.020.5±22.9
Fat percentage0.4340.1980.14020.75.419.717.1±27.823.46.725.416.5±29.6
Fat mass kg0.6610.1650.20015.93.316.812.9±18.814.75.915.29.4±20.1
Muscle mass kg0.0110.2160.07758.711.059.646.5±64.044.46.042.540.0±47.4
Visceral fat rating0.1490.1490.2005253±73221±5
GTT10.4400.1330.2004.50.44.64.2±4.84.30.44.14.0±4.6
GTT20.2040.1580.2003.70.63.83.0±4.24.10.64.23.7±4.6
Baseline GLP-10.1060.3430.0000.50.60.40.0±1.06.07.63.10.1±17.0
Baseline insulin0.8390.1510.2007.74.36.95.0±8.17.32.86.95.0±10.4
HOMA2B0.6270.1520.200110.944.388.482.0±155.0120.220.4119.6106.3±137.6
HOMA2S0.8250.2810.004135.147.6150.6111.4±174.5128.560.3116.176.1±161.8
HOMA IR0.9470.2210.0630.900.560.660.57±0.900910.360.860.62±1.31

BMI = body mass index; GTT = glucose tolerance test; GLP-1 = glucagon-like peptide-1; HOMA IR = Homeostasis Model Assessment insulin resistance; HOMA2B= Homeostasis Model Assessment steady state beta cell function; HOMA2S= Homeostasis Model Assessment insulin sensitivity

BMI = body mass index; GTT = glucose tolerance test; GLP-1 = glucagon-like peptide-1; HOMA IR = Homeostasis Model Assessment insulin resistance; HOMA2B= Homeostasis Model Assessment steady state beta cell function; HOMA2S= Homeostasis Model Assessment insulin sensitivity The groups were homogeneous with respect to age, anthropometric parameters and baseline metabolic laboratory values. The responder group included six females and one male. The non-responder group included five males and two females. A 2x2 contingency χ2 table was used for gender comparison in the two groups, i.e. yes/no response to placebo/GLP-1 in males and females. The χ2-test showed a statistically significant gender difference (χ2=4.667, df=1, p=0.031); women were more likely to change their taste preference after GLP-1 infusion than men. To compare food preference after placebo in the groups of responders and non-responders (i.e. selection of one of five tastes and yes/no response to placebo/vehicle), a 2x5 χ2 table was used. The preference for some specific tastes after oral and i.v. sodium loads did not differ between responders and non-responders (χ2=3.333, df=4, p=0.504). Before GLP-1 infusion, no preference for a specific taste existed. There was no statistically significant difference at the 5% level (t=-1.900, df=6.100, p=0.106) in GLP-1 baseline values between responders and non-responders. Two-way repeated measures ANOVA was used to determine whether the level of insulin changed across the 3 measurement points (baseline, after 3 h and 6 h of the beginning of infusion). The difference between the groups was not statistically significant at the level of 5% (F(1,12)=0.155, p>0.05), as so was not the interaction between the groups and the time elapsed from infusion (F(1.1,13.6)=0.734, p=0.423). The same analysis for GLP-1 levels showed that GLP-1 levels were not significantly influenced by the time elapsed from infusion (F(1.1,13.6)=0.500, p=0.518), without difference between the groups (F(1,12)=3.566, p=0.083), and the interaction between the groups and the time elapsed from infusion (F(1.1,13.6)=2.618, p=0.125). There was a positive correlation in responders between the body composition parameter (body fat mass in kg) and insulin level 3 h after GLP-1 infusion. Spearman’s rank correlation coefficient was r=0.710 (p<0.010). The higher the body fat mass, the higher was insulin response to GLP infusion. We also found a strong positive correlation between insulin resistance (HOMA IR) and insulin level at 3 h after GLP-1 infusion in responders, r=0.89 (p<0.010) (Fig. 2). The higher insulin resistance in responders indicated higher insulin response to GLP infusion. A negative correlation was demonstrated for insulin sensitivity (HOMA2S) and insulin level r=-0.89 (p<0.010). In non-responders, there was no correlation between HOMA IR and insulin level at 3 h (r=-0.180).
Fig. 2

Correlation between insulin resistance (HOMA IR) and insulin level 3 h after glucagon-like peptide-1 (GLP-1) infusion in the responder group.

Correlation between insulin resistance (HOMA IR) and insulin level 3 h after glucagon-like peptide-1 (GLP-1) infusion in the responder group.

Discussion

We confirmed the initial hypothesis concerning predictors that could explain responsiveness to native GLP-1 infusion regarding different food preference. The results of this study suggested that women were more likely to change their taste preference after GLP-1 infusion than men. Why are women more prone to taste change after GLP-1 infusion than men? Difference in sensitivity to central leptin and insulin in male and female rats and the influence of gonadal hormones on their central action is well documented (). Estrogens play an important role in the regulation of energy homeostasis. The weight-lowering effects of estrogens are associated with decreased food intake and increased energy expenditure in experimental animals, modulating energy expenditure and feeding behavior through leptin-like effects in the hypothalamus (). Estrogens act directly on brain serotonin (5-HT) neurons (). Deletion of the gene encoding estrogen receptor α from the entire brain results in obesity due to both hyperphagia and decreased energy expenditure (). Estrogen receptors are expressed in large quantities in the dorsal raphe nuclei, where most 5-HT neurons are located (). There is a relationship between eating disorders and estrogen. Some theories claim that estrogens directly act through dorsal raphe nuclei 5-HT neurons to inhibit binge eating and that impaired brain 5-HT signaling is an important component of binge eating development (-). In humans, weight gain during menopause is associated with estrogen decline, and such obesity is independent of aging (). The absence of estrogens has a significant effect on obesity in menopausal women (, ). Epidemiologically, women are approximately three-fold more vulnerable than men to psychiatric eating disorders (). Estrogens could be a therapeutic option for obesity and type 2 diabetes (), but their usage is limited due to their female-specific gynecologic action and tumor-promoting properties. There is a potential to develop selective estrogen receptor modulators through tissue-specific actions. Until now, such a substance was not easy to develop due to remaining toxicity concerns and mechanistic uncertainties (). Another option for estrogen delivery is based on a peptide carrier that selectively delivers estrogens to specific tissues. Improved estrogen action is accomplished by GLP-1 receptor-mediated delivery. Central stimulation of the GLP-1 receptors reduces feeding and food-reward behavior, and this action could be important for the anorexic actions of estrogens. In experimental studies, GLP-1-based estrogen conjugates were more effective in reducing adiposity and improving hyperglycemia and dyslipidemia in metabolically compromised obese mice than individual agonists alone, independent of sex (). In one experimental study, the estrogen antagonist was administered centrally with GLP-1 receptor agonist exendine 4 to fasting male and female rats, and different sensitivities to the food reward were noted between female and male rats. Female rats exhibited a significant reduction in active lever presses and sucrose rewards earned in the non-food deprived state after exendine 4 treatment. Stimulation with synthetic GLP-1R agonist confirmed different food-motivated behaviors in female rats and their interaction with central estrogen signaling (). Such data indicate an increased sensitivity to GLP-1 in females. Our study results are consistent with previously mentioned experimental findings pointing to the fact that gender difference in the physiology of eating exists (). Both groups (responders and non-responders) were initially homogeneous, with the exception of initial muscle mass, which was significantly higher in non-responders. This observation could be explained by the fact that the non-responder group primarily consisted of men (). Both groups were optimally hydrated to prevent hunger and thirst responses from being mistaken for each other. Exclusively analyzing the responders, a positive correlation was noted between body fat percentage and insulin level after GLP-1 infusion; a higher body fat percentage was associated with higher insulin response to GLP-1 infusion. The same correlation was confirmed for the VFR, i.e. higher VFR was associated with increased insulin response to GLP-1 infusion. The strongest positive correlation in responders was between insulin resistance HOMA IR and insulin level after GLP-1 infusion. Such a correlation was not confirmed in the non-responder group. As expected, in the responder group, body fat percentage was positively correlated with insulin resistance. Although no statistically significant difference in baseline GLP-1 level was noted between responders and non-responders, it seems that the responders with more symptoms of metabolic syndrome (total fat, visceral fat and insulin resistance) react with higher insulin after GLP-1 infusion. To our knowledge, this is the first study exploring sex differences in response to GLP-1 infusion. A study limitation was the number of participants (although similar studies assessing GLP-1 involved 15-16 participants). The sample size did not exclude inter- and intra-individual variability. In conclusion, we found healthy non-obese females to respond differently to GLP-1 infusion than males. Females had a tendency to change their taste preferences following increase in GLP-1 plasma levels. The observed results may be attributable to the effect of estrogen in females and the improved central action accomplished by GLP-1 receptor-mediated delivery. Sex differences in the physiology of eating and response to GLP-1 stimuli may contribute to better understanding of human obesity and eating disorders.
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