- Open Access
Hormonal responses to non-nutritive sweeteners in water and diet soda
Nutrition & Metabolism volume 13, Article number: 71 (2016)
Non-nutritive sweeteners (NNS), especially in form of diet soda, have been linked to metabolic derangements (e.g. obesity and diabetes) in epidemiologic studies. We aimed to test acute metabolic effects of NNS in isolation (water or seltzer) and in diet sodas.
We conducted a four-period, cross-over study at the National Institutes of Health Clinical Center (Bethesda, Maryland). Thirty healthy adults consumed 355 mL water with 0 mg, 68 mg, 170 mg, and 250 mg sucralose, and 31 individuals consumed 355 mL caffeine-free Diet Rite Cola™, Diet Mountain Dew™ (18 mg sucralose, 18 mg acesulfame-potassium, 57 mg aspartame), and seltzer water with NNS (68 mg sucralose and 41 mg acesulfame-potassium, equivalent to Diet Rite Cola™) in randomized order, prior to oral glucose tolerance tests. Blood samples were collected serially for 130 min. Measures included GLP-1, GIP, glucose, insulin, C-peptide, glucose absorption, gastric emptying, and subjective hunger and satiety ratings.
Diet sodas augmented active GLP-1 (Diet Rite Cola™ vs. seltzer water, AUC, p = 0.039; Diet Mountain Dew™ vs. seltzer water, AUC, p = 0.07), but gastric emptying and satiety were unaffected. Insulin concentrations were nominally higher following all NNS conditions without altering glycemia. Sucralose alone (at any concentration) did not affect metabolic outcomes.
Diet sodas but not NNS in water augmented GLP-1 responses to oral glucose. Whether the trends toward higher insulin concentrations after NNS are of clinical importance remains to be determined. Our findings emphasize the need to test metabolic effects of NNS after chronic consumption.
The data for this manuscript were gathered from clinical trial #NCT01200940.
Several large epidemiologic studies have suggested adverse metabolic effects resulting from non-nutritive sweeteners (NNS) consumption, surprisingly similar to sugar intake. These include weight gain , central adiposity , metabolic syndrome , and cardiovascular disease . In two recent studies, consumption of regular and diet soft drinks was associated with a similarly increased risk of developing type 2 diabetes [5, 6] and non-alcoholic fatty liver disease , though associations were no longer significant among diet beverage consumers after adjustment for body weight. This finding suggests that obesity is the link between NNS and metabolic disease. In contrast to epidemiologic findings, randomized controlled trials with NNS have shown neutral effects or even possible weight management benefits following NNS consumption [8, 9]. This may be especially true when sugar is replaced with NNS . An excellent overview of the existing controversies has recently been published .
While reverse causality likely contributes to the observed epidemiologic association between NNS use and weight , alternative explanations include behavioral and cognitive mechanisms such as greater energy intake after ‘saved’ calories due to choosing NNS  and a disruption of the predictive relationship between sweet taste perception and caloric intake . Furthermore, NNS have been shown to induce less central reward compared to caloric sugars , potentially leading to continued seeking of palatable food. Recently, alterations of the gut microbiome have been reported after NNS exposure [15, 16], promoting greater energy harvest . Based on in vitro studies, it has also been suggested that NNS may up-regulate adipogenesis . It is important to note that NNS induced microbiome changes have only been reported in one small human study and changes in adipose tissue have not yet been replicated in humans.
Another plausible explanation is direct stimulation of insulin secretion in response to binding of NNS to sweet taste receptors (T1R2/T1R3) on pancreatic beta-cells. This has been documented in vitro [19, 20] and is supported by results of a small clinical trial showing increased insulin levels following NNS exposure in humans . Sweet taste receptors are also found in the intestine , where they modulate various gut hormone responses, including glucagon-like-peptide 1 (GLP-1) secreted from enteroendocrine L-cells  and gastric inhibitory peptide (GIP) secreted from enteroendocrine K-cells . We previously demonstrated that ingestion of a diet soda (Diet Rite Cola™) sweetened with sucralose and acesulfame-potassium, administered prior to an oral glucose load, resulted in a 34 % increase in GLP-1 secretion in comparison to unflavored carbonated water. This was shown both in healthy adolescents and young adults  and in youth with type 1 diabetes . Herein we report the results of a randomized same-subject crossover study testing the effects of NNS on glycemia, insulin, and incretin responses in healthy adults. In the first set of experiments (study arm 1), we evaluated three doses of sucralose mixed in water to further test our original hypothesis that sucralose was the active ingredient in Diet Rite Cola™ responsible for the previously observed increase in glucose-dependent GLP-1 secretion. In the second set of experiments (study arm 2), we tested whether two combinations of NNS in diet sodas and in seltzer water increase GLP-1 secretion.
Sixty-one healthy adults (30 participants in study arm 1 and 31 participants in arm 2) were enrolled. All subjects provided written informed consent. The protocol was approved by the Institutional Review Board of the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) (NCT #01200940, Metabolic Effects of Non-nutritive Sweeteners). Inclusion criteria were age between 18 and 45 years and no known active medical conditions. Exclusion criteria included diabetes, pregnancy, lactation, and active medication use, other than oral contraceptives.
Study participants arrived at the NIH Clinical Center at approximately 8 am following a ten hour fast. They were instructed to avoid foods and beverages containing NNS, acetaminophen, and alcohol for two days prior to each study visit and to maintain a similar diet and physical activity level. Diet and physical activity during the 24 h prior to each study visit were recorded. Habitual NNS intake was assessed with a questionnaire and individuals were categorized based on the frequency of NNS use (whether in foods or beverages): at least once daily, less than daily but at least once per month, or never. In both study arms, visits were scheduled on four separate days, approximately one week apart to avoid carryover effects from the prior visit and to avoid any significant changes in body weight or metabolic parameters.
Block randomization (block size 24) based on a random number table was used to assign each subject to the four test beverage conditions. In study arm 1, subjects were randomized to consume 355 mL water mixed with a sucralose dose of 0 mg (plain water control), 68 mg, 170 mg, or 250 mg prior to an oral glucose tolerance test (OGTT). In study arm 2, subjects were randomized to consume 355 mL (standard 12 ounce can) seltzer water (control), 355 mL caffeine-free Diet Rite Cola™ sweetened with 68 mg sucralose and 41 mg acesulfame-potassium, 355 mL caffeine-free Diet Mountain Dew™ sweetened with 18 mg sucralose, 18 mg acesulfame-potassium and 57 mg aspartame, or 68 mg sucralose and 41 mg acesulfame-potassium in 355 mL of seltzer water prior to an OGTT. Study procedures are summarized in Fig. 1. Composition of the diet sodas are presented in Additional file 1: Table S1.
Baseline blood samples were drawn at −10 min, after which subjects consumed the assigned test beverage in 2–3 min. At time 0 min, a second blood sample was obtained, after which subjects ingested a standard oral glucose load (75 g glucose) mixed with 1450 mg acetaminophen and 7.5 g 3-O-methylglucose. Blood samples were drawn at 10, 20, 30, 60, 90, and 120 min following consumption of the glucose load. Satiety questionnaires were administered at baseline, immediately following consumption of the glucose load and after 30, 60, 90, and 120 min.
Study data were collected and managed using REDCap (Research Electronic Data Capture) hosted at Vanderbilt University.
Active GLP-1 was measured by enzyme-linked immunosorbent assay (Millipore, Billerica MA, USA). The lowest detectable level of active GLP-1 was 6.56 pmol/L (inter-assay CV 8 % and intra-assay CV 7 %). In study arm 1, GIP was measured by enzyme-linked immunosorbent assay (Millipore, Billerica MA, USA). The lowest detectable level of GIP was 8.2 pg/mL inter-assay CV 1.8–6.1 % and intra-assay CV 3.0–8.8 %). In study arm 2, GIP was measured using the Milliplex gut hormone kit based on Luminex technology (EMD Millipore, Billerica MA, USA). The lowest detectable level for GIP was 0.2 pg/mL (inter-assay CV 7.0 % and intra-assay CV 5.1 %). DPP-IV inhibitor was added to blood collection tubes prior to sample collection for analysis of GLP-1 and GIP. In both study arms, insulin was measured using an ELISA (R&D Systems, Minneapolis, MN, intra-assay CV 1.9 % and inter-assay CV 4.1 %, assay range 15.6–500 pmol/L). Serum glucose was determined using the glucose oxidase method (inter-assay CV 3.9 % at 2.4 mmol/L and 1.2 % at 22.1 mmol/L; intra-assay CV 2.9 % at 2.4 mmol/L and 0.4 % at 22.1 mmol/L). C-peptide was measured by electrochemiluminescence immunoassay. Normal fasting range was 0.9–7.1 ng/mL in study arm 1 and 1.1–5.0 ng/mL in study arm 2. Glucose absorption was measured using 3-O-methylglucose (3-OMG, 7.5 g administered with the glucose load), which is an inert, non-metabolizable glucose analog. The appearance of 3-OMG in blood can thus be used as a proxy measure of the rate of intestinal glucose absorption . Acetaminophen appearance in the blood was used as a proxy measure of the rate of gastric emptying . 3-OMG and acetaminophen were analyzed by gas chromatography–mass spectrometry-(GC-MS) using a deuterated analyte as internal standard. Plasma was deproteinated, dried, and derivatized with methylboronic acid in pyridine for 3-OMG analysis. Acetaminophen was purified from acidified plasma by solid phase extraction, then silylated prior to analysis. All assays were performed in duplicate. Hunger and satiety were measured using 100 mm visual analog scales.
The primary end-point in study arm 1 was the difference in glucose-stimulated active GLP-1 area-under-the-curve (AUC) following ingestion of 68 mg of sucralose and glucose-stimulated active GLP-1 secretion after the unsweetened water control. In study arm 2, our primary outcome was the difference between glucose-stimulated active GLP-1 AUC after ingestion of Diet Rite Cola™ and glucose-stimulated active GLP-following the unsweetened seltzer water control. Sample sizes were determined based on our prior study , where ingestion of Diet Rite Cola™ augmented glucose-stimulated GLP-1 response compared to an unsweetened seltzer water control. The difference in glucose-stimulated insulin secretion following ingestion of Diet Rite Cola™ compared to ingestion of seltzer water was evaluated as a secondary outcome.
Descriptive statistics were calculated for each outcome of interest during each of the four test visits in both study arms. Incremental AUC was calculated using the trapezoidal method. Peak was calculated as the maximum value for each variable of interest over the 120-min time course and occurred at different time points (e.g. at 20 min or 30 min) for different individuals. Thus, peak values presented in Tables 2 and 3 differ slightly from those depicted in the response curves presented in Fig. 2 and Fig. 3. Differences between the mean peak and AUC in the four conditions were first assessed using repeated-measures ANOVA, and post-hoc Dunnett’s tests were used for pairwise comparisons, where repeated-measures ANOVA indicated a trend for difference between the groups. AUC values that were not normally distributed were log-transformed before analyses. No adjustments were made to account for multiple comparisons. Linear mixed modeling was used to account for fixed and random effects, given the same-subject crossover design of the study.
Characteristics of the study participants at baseline are shown in Table 1. Study participants were similar in age and gender, but more ethnically and racially diverse in study arm 2. Overall NNS consumption was low in both arms relative to the general population  with slightly higher consumption in study arm 2. The mean BMI was similar (25.8 ± 4.2 kg/m2 and 26.3 ± 7.5 kg/m2, respectively), but baseline insulin, C-peptide and HOMA were higher in study arm 2.
No statistically significant differences in active GLP-1, GIP, glucose, insulin, or C-peptide were observed when sucralose (at varying doses mixed in water) was administered before the OGTTs in study arm 1 (Table 2). In contrast, active GLP-1 AUC was higher following Diet Rite Cola™ (p = 0.04), and tended to be higher following Diet Mountain Dew™ (p = 0.07) (Fig. 2, Table 3), but not following the preload containing sucralose and acesulfame-potassium mixed in seltzer water. GIP results following Diet Rite Cola™ showed a similar trend, but did not reach statistical significance (peak p = 0.07). Glucose concentrations were indistinguishable between the four conditions (Fig. 3, Table 3). Both peak insulin and insulin AUC were 17 to 25 % higher after Diet Rite Cola™, Diet Mountain Dew™, and sucralose and acesulfame-potassium in seltzer water pre-treatments, but did not reach statistical significance. AUCs and peaks for active GLP-1, GIP, glucose, insulin, and C-peptide following Diet Rite Cola™, Diet Mountain Dew™, sucralose and acesulfame-potassium in seltzer water, and seltzer water pre-treatment are shown in Table 3.
Rates of gastric emptying and intestinal glucose absorption were not different following Diet Rite Cola™ (Additional file 2: Figure S1) compared to seltzer water and subjective hunger and satiety ratings were similar between all test conditions (data not shown). Intestinal glucose absorption, rate of gastric emptying, and subjective hunger and satiety ratings were also similar following all four sucralose pre-treatment conditions (data not shown).
Our results demonstrate that a single exposure to a beverage containing sucralose, acesulfame-potassium, and other ingredients prior to an oral glucose load does not induce pronounced metabolic effects. However, GLP-1 secretion was enhanced after Diet Rite Cola™, and a statistically non-significant, but potentially biologically important increase of insulin was observed.
These results are consistent with our prior findings that Diet Rite Cola™ sweetened with sucralose and acesulfame-potassium enhanced GLP-1 secretion in healthy youth, as well as in young individuals with type 1 diabetes . In the current study, we observed that neither sucralose alone nor the combination of sucralose with ace-K augmented the incretin response. Instead, only the ingestion of diet soda resulted in higher GLP-1 concentrations. This suggests that either the taste associated with diet soda or the effect of other ingredients are required to stimulate GLP-1 (Additional file 1: Table S1). We did not examine whether acesulfame-potassium in isolation elicits these metabolic responses. This sweetener differs from sucralose and aspartame in that it activates bitter taste receptors at lower concentrations . Furthermore, the addition of aspartame in Diet Mountain Dew™ did not alter the observed results.
Animal studies have shown that NNS upregulate glucose transporters (GLUT2, SGLT1). However, we did not find a change in glucose uptake when measuring 3-OMG, which was added to the oral glucose load as a tracer. This may be due to the large 75 g glucose load administered, which may have ‘overloaded’ the system, as all glucose ingested is eventually absorbed. We also did not observe delayed gastric emptying, a known downstream effect of increased GLP-1 secretion. This is not entirely surprising, however, as the elevation of GLP-1 observed in our study (20 % increase) was considerably lower than what is typically observed following pharmacologic elevation of GLP-1 via DPP4 inhibitors (100 % increase) .
Despite the lack of statistical significance, it is noteworthy that all conditions with NNS given in combination resulted in marginally higher insulin AUCs (22-25 %). Pepino et al.  observed similar results with sucralose alone, and it is possible that her predominantly obese, female study participants may explain this difference. Interestingly, our participants in study arm 2 had higher baseline insulin secretion and may thus have been more susceptible to metabolic alterations following NNS exposure. Whether the insulin secretion observed in the current study and by Pepino et al.  was stimulated directly by sweet taste receptors on beta cells as shown in vitro  or via other mechanism remains entirely speculative. However, if our results are sustained with chronic NNS ingestion, then minor changes in insulin levels may contribute to eventual weight gain, as insulin is an anabolic hormone known to promote food intake and fat storage.
As alluded to above, considerable differences in study participants and methods may explain variable findings reported in the literature. Age, obesity, weight history and prior experience with sweet taste influence sweet taste perception [32–34] and hormonal responses. Dose, volume, composition, route of administration, and timing of NNS also vary between studies. Furthermore, dietary intake and physical activity may affect OGTT results, and are typically not standardized in acute studies. Polymorphisms in sweet taste receptor genes may also explain clinically relevant individual differences .
Our study was not designed to address the role of carbonation. We also did not standardize meals and physical activity prior to each visit and included individuals with a range of habitual NNS consumption. Finally, we did not adjust for multiple comparisons in the statistical analysis, and our study was not powered to detect changes in insulin. An inherent limitation of our study is also the inability to predict the consequences of prolonged NNS consumption.
The strengths of our study include testing NNS at varying doses, both in isolation and combined with other ingredients in diet soda. This allowed us to differentiate between potential effects due to the palatability and ingredient composition of diet soda and those due to NNS. The use of a crossover design allowed for control of intra-individual differences.
The current study demonstrates that ingestion of diet sodas containing sucralose and acesulfame-potassium leads to subtle increases of glucose-stimulated GLP-1 release. While NNS only augmented GLP-1 in the context of diet soda, sucralose and acesulfame-potassium consistently augmented insulin levels even when administered in isolation (seltzer), although the effect was not statistically significant. Our findings reiterate the need for prospective, well-controlled, prolonged exposure trials to determine the role of diet soda and NNS in metabolic health and to differentiate between independent effects of NNS and those which may be due to other ingredients in diet soda and/or synergism between sweeteners and other ingredients.
Area under the curve
Body mass index
Gas chromatography–mass spectrometry
Gastric inhibitory peptide
National Institute for Diabetes and Digestive and Kidney Diseases
National Institutes of Health
Oral glucose tolerance test
Fowler SP, Williams K, Resendez RG, Hunt KJ, Hazuda HP, Stern MP. Fueling the obesity epidemic? Artificially sweetened beverage use and long-term weight gain. Obesity (Silver Spring). 2008;16:1894–900.
Fowler SP, Williams K, Hazuda HP. Diet Soda Intake Is Associated with Long-Term Increases in Waist Circumference in a Biethnic Cohort of Older Adults: The San Antonio Longitudinal Study of Aging. J Am Geriatr Soc. 2015;63:708–15.
Dhingra R, Sullivan L, Jacques PF, Wang TJ, Fox CS, Meigs JB, D’Agostino RB, Gaziano JM, Vasan RS. Soft drink consumption and risk of developing cardiometabolic risk factors and the metabolic syndrome in middle-aged adults in the community. Circulation. 2007;116:480–8.
Fung TT, Malik V, Rexrode KM, Manson JE, Willett WC, Hu FB. Sweetened beverage consumption and risk of coronary heart disease in women. Am J Clin Nutr. 2009;89:1037–42.
Imamura F, O’Connor L, Ye Z, Mursu J, Hayashino Y, Bhupathiraju SN, Forouhi NG. Consumption of sugar sweetened beverages, artificially sweetened beverages, and fruit juice and incidence of type 2 diabetes: systematic review, meta-analysis, and estimation of population attributable fraction. BMJ. 2015;351:h3576.
O’Connor L, Imamura F, Lentjes MA, Khaw KT, Wareham NJ, Forouhi NG. Prospective associations and population impact of sweet beverage intake and type 2 diabetes, and effects of substitutions with alternative beverages. Diabetologia. 2015;58:1474–83.
Ma J, Fox CS, Jacques PF, Speliotes EK, Hoffmann U, Smith CE, Saltzman E, McKeown NM. Sugar-sweetened beverage, diet soda, and fatty liver disease in the Framingham Heart Study cohorts. J Hepatol. 2015;63:462–9.
Ebbeling CB, Feldman HA, Chomitz VR, Antonelli TA, Gortmaker SL, Osganian SK, Ludwig DS. A randomized trial of sugar-sweetened beverages and adolescent body weight. N Engl J Med. 2012;367:1407–16.
de Ruyter JC, Olthof MR, Seidell JC, Katan MB. A trial of sugar-free or sugar-sweetened beverages and body weight in children. N Engl J Med. 2012;367:1397–406.
Rogers PJ, Hogenkamp PS, de Graaf C, Higgs S, Lluch A, Ness AR, Penfold C, Perry R, Putz P, Yeomans MR, Mela DJ. Does low-energy sweetener consumption affect energy intake and body weight? A systematic review, including meta-analyses, of the evidence from human and animal studies. Int J Obes (Lond). 2016;40:381–94.
Mattes RD. Low calorie sweeteners: Science and controversy: Conference proceedings. Physiol Behav. 2016;164:429–31.
Pepino MY, Bourne C. Non-nutritive sweeteners, energy balance, and glucose homeostasis. Curr Opin Clin Nutr Metab Care. 2011;14:391–5.
Swithers SE. Artificial sweeteners produce the counterintuitive effect of inducing metabolic derangements. Trends Endocrinol Metab. 2013;24:431–41.
Frank GK, Oberndorfer TA, Simmons AN, Paulus MP, Fudge JL, Yang TT, Kaye WH. Sucrose activates human taste pathways differently from artificial sweetener. Neuroimage. 2008;39:1559–69.
Suez J, Korem T, Zeevi D, Zilberman-Schapira G, Thaiss CA, Maza O, Israeli D, Zmora N, Gilad S, Weinberger A, et al. Artificial sweeteners induce glucose intolerance by altering the gut microbiota. Nature. 2014;514:181–6.
Abou-Donia MB, El-Masry EM, Abdel-Rahman AA, McLendon RE, Schiffman SS. Splenda alters gut microflora and increases intestinal p-glycoprotein and cytochrome p-450 in male rats. J Toxicol Environ Health A. 2008;71:1415–29.
Palmnas MS, Cowan TE, Bomhof MR, Su J, Reimer RA, Vogel HJ, Hittel DS, Shearer J. Low-dose aspartame consumption differentially affects gut microbiota-host metabolic interactions in the diet-induced obese rat. PLoS One. 2014;9:e109841.
Simon BR, Parlee SD, Learman BS, Mori H, Scheller EL, Cawthorn WP, Ning X, Gallagher K, Tyrberg B, Assadi-Porter FM, et al. Artificial sweeteners stimulate adipogenesis and suppress lipolysis independently of sweet taste receptors. J Biol Chem. 2013;288:32475–89.
Nakagawa Y, Nagasawa M, Yamada S, Hara A, Mogami H, Nikolaev VO, Lohse MJ, Shigemura N, Ninomiya Y, Kojima I. Sweet taste receptor expressed in pancreatic beta-cells activates the calcium and cyclic AMP signaling systems and stimulates insulin secretion. PLoS One. 2009;4:e5106.
Corkey BE. Banting lecture 2011: hyperinsulinemia: cause or consequence? Diabetes. 2012;61:4–13.
Pepino MY, Tiemann CD, Patterson BW, Wice BM, Klein S. Sucralose affects glycemic and hormonal responses to an oral glucose load. Diabetes Care. 2013;36:2530–5.
Margolskee RF, Dyer J, Kokrashvili Z, Salmon KS, Ilegems E, Daly K, Maillet EL, Ninomiya Y, Mosinger B, Shirazi-Beechey SP. T1R3 and gustducin in gut sense sugars to regulate expression of Na + −glucose cotransporter 1. Proc Natl Acad Sci U S A. 2007;104:15075–80.
Jang HJ, Kokrashvili Z, Theodorakis MJ, Carlson OD, Kim BJ, Zhou J, Kim HH, Xu X, Chan SL, Juhaszova M, et al. Gut-expressed gustducin and taste receptors regulate secretion of glucagon-like peptide-1. Proc Natl Acad Sci U S A. 2007;104:15069–74.
Kojima I, Nakagawa Y. The Role of the Sweet Taste Receptor in Enteroendocrine Cells and Pancreatic beta-Cells. Diabetes Metab J. 2011;35:451–7.
Brown RJ, Walter M, Rother KI. Ingestion of diet soda before a glucose load augments glucagon-like peptide-1 secretion. Diabetes Care. 2009;32:2184–6.
Brown RJ, Walter M, Rother KI. Effects of diet soda on gut hormones in youths with diabetes. Diabetes Care. 2012;35:959–64.
Sigalet DL, Lam V, Boctor D. The assessment, and glucagon-like peptide-2 modulation, of intestinal absorption and function. Semin Pediatr Surg. 2010;19:44–9.
Clements JA, Heading RC, Nimmo WS, Prescott LF. Kinetics of acetaminophen absorption and gastric emptying in man. Clin Pharmacol Ther. 1978;24:420–31.
Sylvetsky AC, Welsh JA, Brown RJ, Vos MB. Low-calorie sweetener consumption is increasing in the United States. Am J Clin Nutr. 2012;96:640–6.
Dotson CD, Zhang L, Xu H, Shin YK, Vigues S, Ott SH, Elson AE, Choi HJ, Shaw H, Egan JM, et al. Bitter taste receptors influence glucose homeostasis. PLoS One. 2008;3:e3974.
Holst JJ. Treatment of type 2 diabetes mellitus with agonists of the GLP-1 receptor or DPP-IV inhibitors. Expert Opin Emerg Drugs. 2004;9:155–66.
Sartor F, Donaldson LF, Markland DA, Loveday H, Jackson MJ, Kubis HP. Taste perception and implicit attitude toward sweet related to body mass index and soft drink supplementation. Appetite. 2011;57:237–46.
Burge JC, Schaumburg JZ, Choban PS, DiSilvestro RA, Flancbaum L. Changes in patients’ taste acuity after Roux-en-Y gastric bypass for clinically severe obesity. J Am Diet Assoc. 1995;95:666–70.
Mennella JA, Pepino MY, Reed DR. Genetic and environmental determinants of bitter perception and sweet preferences. Pediatrics. 2005;115:e216–22.
Fushan AA, Simons CT, Slack JP, Manichaikul A, Drayna D. Allelic polymorphism within the TAS1R3 promoter is associated with human taste sensitivity to sucrose. Curr Biol. 2009;19:1288–93.
We would like to thank Mitchell J. Greenberg, Viviana Bauman, Ellen M. Conway, and Fiona Dore for their work on the tables, figures, and captions in the manuscript. We would also like to thank Xiongce Zhao, Paolo Piaggi and Sheetal Malhotra for their help with the statistical analyses. The authors have no conflicts of interest to declare.
Please address requests for reprints to Kristina I. Rother (contact information above).
This work was supported by the intramural research program of the National Institute of Diabetes and Digestive and Kidney Diseases, Protocol 10-DK-0163.
Availability of data and material
Please contact author for data requests.
ACS, RJB, JEB, and KIR were responsible for the design of the study protocol, data collection, statistical analysis of the data, and writing of the manuscript. MW conducted laboratory assays and reviewed the manuscript. All authors contributed to the drafting and editing of this manuscript. All authors read and approved the final manuscript.
The authors declare that they have no competing interests.
Consent for publication
Ethics approval and consent to participate
The protocol was approved by the Institutional Review Board of the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) (NCT #01200940, Metabolic Effects of Non-nutritive Sweeteners). All subjects provided written informed consent.
Ingredients in diet sodas. (DOCX 11 kb)
Serial data from OGTTs. Acetaminophen (A) and 3-O-methyl glucose (3-OMG) (B) are shown after ingestion of either Diet Rite Cola™ (red square), or seltzer water (blue circle) 10 min prior to a 75 g oral glucose load. (PDF 321 kb)
About this article
Cite this article
Sylvetsky, A.C., Brown, R.J., Blau, J.E. et al. Hormonal responses to non-nutritive sweeteners in water and diet soda. Nutr Metab (Lond) 13, 71 (2016) doi:10.1186/s12986-016-0129-3
- Diet soda
- Non-nutritive sweetener
- Gut peptides