What this is
- This trial evaluated the effects of semaglutide, a GLP-1 analogue, on beta cell function and glycaemic control in type 2 diabetes.
- Seventy-five participants were randomized to receive either semaglutide or placebo for 12 weeks.
- The study measured insulin secretion, glucose levels, and other metabolic markers to assess improvements in diabetes management.
Essence
- Semaglutide significantly improved beta cell function and glycaemic control in participants with type 2 diabetes after 12 weeks of treatment.
Key takeaways
- Semaglutide increased first-phase insulin secretion by 3.02× and second-phase insulin secretion by 2.10× compared to placebo, indicating enhanced beta cell function.
- Participants receiving semaglutide experienced a body weight decrease of 4.2 kg, contrasting with a negligible change of 0.1 kg in the placebo group.
- The 24-hour meal test showed significant reductions in fasting and postprandial glucose and glucagon levels with semaglutide, demonstrating improved glycaemic control.
Caveats
- The study's relatively small sample size and short duration limit the generalizability of the findings.
- Further long-term studies are needed to confirm the sustained effects of semaglutide on beta cell function and overall diabetes management.
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Introduction
Beta cell dysfunction is a key component in the pathophysiology of type 2 diabetes [1]. Both the development and progression of type 2 diabetes are marked by declining beta cell mass and function. The UK Prospective Diabetes Study investigators estimated that 50% of beta cell function may already be lost by the time of diagnosis, and subsequent glycaemic deterioration has been found to be associated with continued loss of beta cell function [2]. Addressing beta cell function is critical to the durability of diabetes treatments [3]. Glucagon-like peptide-1 receptor agonists (GLP-1RAs) appear to have several beneficial effects on beta cell function, offering individuals with type 2 diabetes the potential for enduring glycaemic control [3]. GLP-1 has been shown to prevent glucolipotoxicity in beta cells, thereby helping to protect and improve their overall function [4].
GLP-1RAs help to restore beta cell sensitivity to elevated blood glucose and improve beta cell function across a number of indices in people with type 2 diabetes [5, 6]. These effects have been illustrated in a sequence of studies with the GLP-1 analogue liraglutide vs placebo. Liraglutide treatment resulted in increased first- and second-phase insulin secretion, increased maximal insulin secretion after arginine infusion [7–9], increased HOMA of beta cell function (HOMA-B), a higher level of C-peptide, and a reduced proinsulin-to-insulin ratio [10]. In another study, liraglutide restored beta cell responsiveness to glucose during a stepwise glucose clamp [11], which is in line with trials showing glucose-dependent insulin secretion [12], decreased glucagon secretion from pancreatic islets [12, 13] and delayed gastric emptying [14, 15].
Semaglutide (Novo Nordisk, Bagsværd, Denmark) is a GLP-1 analogue in development for the once-weekly treatment of type 2 diabetes. It has 94% structural homology to native human GLP-1, and is based on the same acetylation technology as liraglutide [16]. Important structural modifications make semaglutide more resistant to degradation by dipeptidyl peptidase-4 and improve binding to albumin [16]. These modifications result in a t½ of approximately 1 week, making semaglutide appropriate for once-weekly s.c. administration, with a fully retained potency [17].
This trial investigated the effects of semaglutide 1.0 mg at steady state (after 12 weeks of once-weekly administration) on different aspects of beta cell function in participants with type 2 diabetes. The trial included four tests that together provide a comprehensive picture of changes in beta cell function during treatment with semaglutide. The primary objective was to evaluate the effects of semaglutide on first- and second-phase insulin secretion. Secondary objectives were to investigate the effects of semaglutide on fasting and postprandial glucose, insulin, C-peptide and glucagon concentrations, and on maximal insulin secretory capacity. The beta cell responsiveness to graded glucose infusion was assessed in participants with type 2 diabetes treated with semaglutide or placebo and in a group of healthy untreated participants. Additionally, the study assessed the pharmacokinetics (PK), safety and tolerability of semaglutide.
Methods
Trial design
This was a single-centre, randomised, multiple-dose, double-blind, placebo-controlled, parallel-group trial in participants with type 2 diabetes. A healthy comparator group was also included specifically to evaluate beta cell responsiveness to graded glucose infusion. The trial was conducted at the Profil Institut für Stoffwechselforschung in Germany and complied with the International Conference on Harmonisation Good Clinical Practice guidelines [18] and the Declaration of Helsinki [19]. All participants provided written informed consent and the trial protocol was approved by German health authorities and local independent ethics committees.
Semaglutide and placebo were visually identical and were packed blinded. The clinical study group, investigators and all other personnel and participants, except for staff conducting the treatment allocation, were blinded to the randomisation throughout the trial.
Trial design. Thick black arrows, study medication dose; thin black arrows, dose escalation; orange arrows, PK sampling; PD assessment comprised: IVGTT, AST, 24 h profiles and GGIT. T2D, type 2 diabetes
Trial population
Participants were adults (aged 18–64 years). Additional eligibility criteria for participants with type 2 diabetes included: HbA1c of 6.5–9.0% (47.5–74.9 mmol/mol); BMI of 20.0–35.0 kg/m2; and treatment with diet and exercise and/or metformin monotherapy with a dose unchanged in the 30 days prior to screening. At least 24 participants with type 2 diabetes of each sex were required to be enrolled. Participants in the healthy comparator group were required to have a BMI of 24.0–32.0 kg/m2 and an HbA1c < 6.5% (47.5 mmol/mol). At least four healthy participants of each sex were required in the control group.
Key exclusion criteria for all participants included: any clinically significant disease history or systemic or organ disease; use of any prescription or non-prescription medication that would interfere with trial results, specifically systemic corticosteroids, non-selective beta blockers or thyroid hormones (unless thyroid hormone use was stable 2 months prior to screening).
Additional exclusion criteria for participants with type 2 diabetes included: impaired renal function (eGFR <60 ml min−1 1.73 m−2 per the Modification of Diet in Renal Disease [MDRD] formula); recurrent severe hypoglycaemia; known proliferative retinopathy or maculopathy requiring acute treatment; treatment with glucose-lowering medication other than metformin 3 months prior to screening (except short-term insulin treatment in connection with intercurrent illness).
Randomisation
Participants were always assigned the lowest available randomisation number. Allocation of treatment was performed by unblinded site staff according to the randomisation list.
Study assessments
The IVGTT, arginine stimulation test (AST), graded glucose infusion test (GGIT) and meal stimulation over 24 h were conducted at baseline and end of treatment on different study days (Fig. 1).
The IVGTT evaluated the response to an i.v. bolus injection of 25 g glucose administered over 2 min. Blood samples for analysis of insulin, C-peptide, glucose and glucagon concentrations were drawn frequently from 30 min prior to glucose injection through to 2 h post-injection.
An AST was performed after the completion of the IVGTT to measure maximal insulin secretory capacity. An i.v. glucose infusion (150 mg/kg) was administered to achieve hyperglycaemia (target 16 mmol/l); 2 h later, 5 g arginine was administered i.v. over 30 s, and blood samples for the analysis of insulin, C-peptide, glucose and glucagon were drawn frequently until 35 min after arginine administration.
Fasting and postprandial glucose metabolism were evaluated over a 24 h period during which three standard meals (breakfast at 0 h, lunch at 5 h, high-protein dinner at 10 h) were served. Blood samples were drawn throughout this time to determine 24 h profiles for glucose, insulin, C-peptide and glucagon.
A GGIT was performed both in participants with type 2 diabetes and healthy participants to assess beta cell responsiveness. The glycaemic start level was 5 mmol/l (achieved by administration of i.v. glucose or insulin as required). The i.v. glucose infusion was adjusted to achieve sequential plasma glucose targets throughout the 3 h test of 5, 6, 7, 8, 9, 10, 11 and 12 mmol/l, with 25 min intervals between each target. Blood samples for analysis of insulin, C-peptide, glucose and glucagon levels were drawn throughout the test.
Adverse events (AEs) were recorded from the time of the participant signing informed consent through to the end of follow-up and were regarded as treatment-emergent adverse events (TEAEs) if beginning (or increasing in severity) after the first study dose and no later than the end of follow-up.
Blood samples were drawn throughout the trial to assess PK (trough values). Body weight was measured at all visits.
Study endpoints
In participants with type 2 diabetes
The co-primary endpoints were the change from baseline to end of treatment (Week 12) in first- and second-phase insulin secretion, as measured during IVGTT (AUC0−10min and AUC10−120min, respectively).
The secondary IVGTT-related pharmacodynamic (PD) endpoints were the change from baseline to end of treatment in AUC0–10min, AUC10–120min and AUC0–120min with respect to C-peptide, insulin secretion rate (ISR), glucagon and insulin (only AUC0–120min).
Secondary PD endpoints measured by the AST included the change from baseline to end of treatment in AUC0–10min and AUC0–30min for insulin, ISR and glucagon.
Secondary endpoints measured by meal stimulation included the change from baseline to end of treatment in the 24 h profiles of plasma glucose, glucagon, serum insulin and C-peptide, measured as total AUC0–24h during a test day with three standardised meals. Change from baseline to end of treatment in meal-specific AUCs following breakfast, lunch and dinner (0–5 h, 5–10 h and 10–15 h, respectively) and the corresponding mean postprandial increments were added post hoc.
The change from baseline to end of treatment in body weight was an additional secondary endpoint.
Safety endpoints from baseline to follow-up included the number of TEAEs, the number of severe hypoglycaemic events (as defined by the ADA [20]) or blood glucose-confirmed (<3.1 mmol/l) hypoglycaemic events, and change from baseline to end of treatment in vital signs and standard laboratory test results.
In participants with type 2 diabetes and healthy participants
Graded glucose infusion-related secondary endpoints were change from baseline to end of treatment in the AUC of ISR and glucagon over the 5–12 mmol/l glucose level (AUC5–12mmol,ISR and AUC5–12mmol,glucagon, respectively), and in the slope of the ISR vs glucose curve (dose–response relationship).
PK endpoints
PK endpoints (AUC0–168, maximum concentration [Cmax], time to maximum concentration [tmax], t½) were assessed for semaglutide 1.0 mg at steady state, based on blood sampled up to 840 h after the last dose. Additionally, trough semaglutide concentrations for each dose level at steady state (Ctrough,SS) were derived from blood samples drawn 1 week after the fourth dose at each of the three dose levels. Further information on PK endpoints is provided in the electronic supplementary material (ESM).
Statistical analysis
Sample size was calculated based on the within-participant differences in AUC0–17min,insulin and AUC90–120min,insulin from an IVGTT in a crossover liraglutide study (data not published). A dropout rate of 13–15% was assumed. The enrolment of 37 participants in each treatment group was calculated to provide a combined power of 80.6% to detect a treatment difference corresponding to 20 nmol l−1 h−1 and 650 nmol l−1 h−1 for the first and second insulin secretion phases, respectively, assuming a corresponding SD of 23 nmol l−1 h−1 and 830 nmol l−1 h−1.
All AUCs were calculated by non-compartmental model-free methods using the linear trapezoidal method on the observations and actual time points.
The co-primary endpoints were analysed separately using linear normal models on log10-transformed data, including treatment as a fixed effect and baseline value as a covariate. Estimated treatment difference (ETD) was presented on the original scale as estimated treatment ratio (ETR) with 95% CIs and p value testing the null hypothesis of no treatment difference.
For all secondary AUC endpoints, the data were analysed and presented in the same way as for the primary endpoints.
The ISR was calculated from population-based C-peptide kinetic variables [21], using ISEC software (version 3.4a, September 1994), in which the insulin grid was set to equal the sample regimen, the basal measurement of C-peptide was included in the calculation and the error of C-peptide measurements was set to 5% [22]. The ISEC software can be obtained from the developer: Roman Hovorka, PhD, University of Cambridge, UK (https://www.scribd.com/document/177600095/Isec-Manual↗).
For the GGIT, the slope of the ISR vs glucose curve was calculated for each individual profile by a simple regression model on the log10-transformed data. Change from baseline was analysed in the same way as for the primary endpoints.
The mean postprandial increment was calculated as the incremental AUC (the total AUC–time curve minus the area under the pre-meal concentration during the same time interval) divided by the length of the time interval. The change from baseline to end of treatment in mean postprandial increment was analysed in a linear normal model on the original scale with treatment as a fixed effect and baseline value as a covariate.
Change from baseline in body weight was analysed using a mixed model for repeated measurements using all post-baseline data as the dependent variable, and with treatment, visit and treatment nested within visit as factors, and baseline body weight as a covariate. An unstructured covariance matrix was used to describe the variability for the repeated measurements for a participant.
Results
Changes from baseline to end of treatment in the AUC of ISR, C-peptide and glucagon in the IVGTT were also significantly greater in the semaglutide group compared with the placebo group (Fig. 3). The increases in the AUC of insulin and ISR were larger in the first phase than in the second phase of insulin secretion. The treatment effects of semaglutide in increasing the AUC of C-peptide and decreasing the AUC of glucagon were similar in each insulin secretion phase (Fig. 3). The magnitude of change in ISR was reflected in the reduction in glucose during the IVGTT (data not shown).
In post hoc analyses (Table 2), fasting glucose (ETR [95% CI]: 0.78 [0.74, 0.83]) and glucagon (0.92 [0.86, 0.99]) was shown to decrease, while insulin (1.30 [1.11, 1.53]) and C-peptide (1.23 [1.14, 1.32]) increased after treatment with semaglutide vs placebo. In the individual meal periods, assessed as change from baseline to end of treatment, semaglutide significantly decreased postprandial glucose and glucagon responses compared with placebo, but did not affect insulin and C-peptide. For glucose, following the three meals, the absolute postprandial response was lowered by 20–29% and mean postprandial increments were lowered by 0.6–1.1 mmol/l for semaglutide compared with placebo. For glucagon, the absolute postprandial response after breakfast and dinner was lowered by 14–15% and postprandial increments were lowered by approximately 12 ng/l compared with placebo; however, the treatment difference following lunch was not statistically significant. For insulin and C-peptide, the absolute postprandial responses were similar during all three meals for semaglutide and placebo, while the mean postprandial increments were lowered following breakfast and dinner. In the post-lunch period the treatment differences were not statistically significant.
In the GGIT, both the increase in ISR AUC over the 5–12 mmol/l glucose interval (AUC5–12mmol) from baseline to end of treatment and the increase in the corresponding slope of the ISR vs glucose curve (dose–response relationship) were significantly greater in the semaglutide group than in the placebo group (ETR [95% CI]: 2.45 [2.16, 2.77] and 2.78 [2.44, 3.16], respectively; p < 0.0001 for both). Changes in glucagon levels with semaglutide treatment (AUC5–12mmol) were significantly lower compared with placebo (0.87 [0.82, 0.93]; p < 0.0001).
Body weight decreased by 4.2 kg in the semaglutide group, compared with 0.1 kg for placebo (ETD [95% CI] −4.1 [−5.1, −3.1]) over 12 weeks.
The PK data for semaglutide were consistent with those previously reported. PK values, including trough values during dose escalation, were indicative of treatment compliance (and ESM Table). ESM Fig. 2 1
TEAEs were reported in 75.7% of participants receiving semaglutide and 55.3% receiving placebo (). The most common type of TEAE in the semaglutide group, and thus the primary reason for the difference in incidence of TEAEs between the treatment groups, was gastrointestinal, reported in 19 (51.4%) participants in the semaglutide group and six (15.8%) participants in the placebo group. Of these, the most common events were nausea, vomiting and diarrhoea, reported in seven (18.9%), six (16.2%) and four (10.8%) semaglutide-treated participants, respectively, and in two (5.3%), two (5.3%) and three (7.9%) placebo-treated participants, respectively. Most AEs were mild to moderate in severity and transient in nature. One TEAE in the semaglutide group with a fatal outcome (pedestrian traffic accident) led to participant withdrawal. The investigator assessed the event as unlikely to be related to treatment. Two other TEAEs classed as serious occurred: one instance of angina pectoris and one hypertensive emergency. In both instances, the event resolved and the participant recovered. ESM Table 2
Geometric mean insulin response to an IVGTT in participants with type 2 diabetes before and after 12 weeks of treatment with semaglutide (= 37, dark blue) or placebo (= 37, light blue). One participant who received an incorrect glucose dose was excluded from all IVGTT analyses. Dotted lines represent baseline values and solid lines represent end of treatment values n n
ETR (semaglutide:placebo) for endpoints from an IVGTT. Endpoints are the change from baseline to end of treatment in the AUC. One participant who received an incorrect glucose dose was excluded (= 36 in both groups). 0–10 min, first phase; 10–120 min, second phase. All endpoints listed are change from baseline to end of treatment in AUC. Allvalues ≤0.0002 n p
Serum insulin over time following hyperglycaemic ASTs in participants with type 2 diabetes before and after 12 weeks of treatment with semaglutide (= 37, dark blue) or placebo (= 38, light blue). Dotted lines represent baseline values and solid lines represent end of treatment values n n
Plasma glucose (), plasma glucagon () and serum insulin () 24 h profiles in participants with type 2 diabetes before and after receiving 12 weeks of treatment with semaglutide (= 37, dark blue) or placebo (= 38, light blue). Dotted lines represent baseline values and solid lines represent end of treatment values. Arrows represent the start of meals a b c n n
Insulin response to a graded glucose infusion in participants with type 2 diabetes before and after receiving 12 weeks of treatment with semaglutide (= 37, dark blue) or placebo (= 38, light blue), and in healthy participants (= 12, green). Dotted lines represent baseline values and solid lines represent end of treatment values n n n
| Semaglutide1.0 mg= 37n | Placebo= 38n | Healthy= 12n | |
|---|---|---|---|
| Age, years | 56 (45–64) | 57 (44–64) | 43 (24–58) |
| HbA, %1c | 7.3 (6.4–8.9) | 7.3 (5.9–9.0) | N/A |
| HbA, mmol/l1c | 56.1 (46.5–73.8) | 55.7 (41.0–74.9) | N/A |
| Diabetes duration, years | 8.3 (1.0–22.2) | 8.7 (1.4–21.3) | N/A |
| Body weight, kg | 93.2 (61.9–119.6) | 90.0 (64.1–120.0) | 81.9 (68.7–103.2) |
| BMI, kg/m2 | 29.5 (20.7–35.1) | 29.7 (21.9–35.3) | 26.8 (24.5–29.7) |
| Metformin use,(%)n | 33 (89.1) | 34 (89.5) | N/A |
| Male,(%)n | 27 (73.0) | 24 (63.2) | 8 (66.7) |
| Fasting state | Breakfast | Lunch | Dinner | Overall | |
|---|---|---|---|---|---|
| Absolute fasting and postprandial response, ETR (95% CI) | AUC0–5h | AUC5–10h | AUC10–15h | AUC0–24h | |
| Glucose | 0.78 (0.74, 0.83) | 0.71 (0.67, 0.76) | 0.79 (0.74, 0.85) | 0.80 (0.75, 0.86) | 0.78 (0.74, 0.82) |
| Glucagon | 0.92 (0.86, 0.99) | 0.86 (0.82, 0.91) | 0.86 (0.81, 0.91) | 0.85 (0.79, 0.91) | 0.88 (0.83, 0.93) |
| Insulin | 1.30 (1.11, 1.53) | 0.95 (0.84, 1.07) | 1.05 (0.94, 1.18) | 0.90 (0.81, 1.01) | 1.01 (0.93, 1.10) |
| C-peptide | 1.23 (1.14, 1.32) | 1.03 (0.96, 1.10) | 1.06 (0.99, 1.14) | 0.97 (0.91, 1.04) | 1.05 (1.00, 1.10) |
| Mean postprandial increment, ETD (95% CI) | – | iAUC/5 h0–5h | iAUC/5 h5–10h | iAUC/5 h10–15h | – |
| Glucose, mmol/l | N/A | −1.11 (−1.52, −0.71) | −0.92 (−1.30, −0.54) | −0.60 (−0.93, −0.28) | N/A |
| Glucagon, ng/l | N/A | −12.86 (−23.38, −2.34) | −5.82 (−13.86, 2.23) | −11.49 (−21.91, −1.06) | N/A |
| Insulin, pmol/l | N/A | −43.47 (−73.06, −13.89) | −15.33 (−50.80, 20.15) | −42.90 (−81.81, −3.99) | N/A |
| C-peptide, nmol/l | N/A | −0.192 (−0.316, −0.067) | −0.086 (−0.229, 0.056) | −0.275 (−0.423, −0.128) | N/A |
| Semaglutide 1.0 mg=36na | Placebo=37nb | Healthy participants, no treatment= 12n | |
|---|---|---|---|
| ISR AUC, pmol/kg5–12mmol | 43.9 (44.6) | 19.5 (43.3) | 45.7 (31.0) |
| Slope ISR vs glucose, pmol × l/(min mmolkg)−1−1 | 1.3 (53.7) | 0.6 (41.2) | 1.4 (35.8) |
| Glucagon AUC, ng/l5–12mmol | 994.9 (17.4) | 1129.4 (19.2) | 875.9 (12.9) |
Discussion
This study investigated the effects of 12 weeks of once-weekly s.c. semaglutide treatment on various aspects of beta cell function in participants with type 2 diabetes. It was demonstrated by IVGTT that semaglutide treatment increased first- and second-phase insulin secretion threefold and twofold, respectively, compared with placebo. Correspondingly, levels of glucagon and glucose were decreased with semaglutide vs placebo. Similar findings have been reported for once-daily liraglutide, which significantly increased both first- and second-phase insulin secretion after 14 weeks of treatment in participants with type 2 diabetes [7].
Results from the AST under hyperglycaemic conditions showed that maximal insulin capacity had improved following semaglutide treatment. Despite insulin levels prior to the test being higher in semaglutide-treated participants than in participants receiving placebo, insulin levels increased immediately in response to the stimulus and remained high for the duration of the test. This effect could contribute to the reported efficacy of semaglutide in improving glycaemic control [23], particularly as recent research suggests that individuals with sustained endogenous insulin-secreting capacity may benefit more from GLP-1RA therapy [24].
In the 24 h meal test, encompassing three standardised meals, semaglutide reduced glucose and glucagon, and increased C-peptide levels (a marker of endogenous insulin production) in comparison with placebo. Reductions in glucose and glucagon levels with semaglutide were observed in the fasting as well as in the postprandial state, both in terms of the absolute levels and the incremental response. As shown with other GLP-1RAs, a higher insulin level was observed in the fasting state after semaglutide treatment despite lower fasting glucose levels, possibly due to the well-known incretin effect of the GLP-1 class [3, 15]. Notwithstanding this higher initial insulin level, similar postprandial insulin profiles were observed with semaglutide treatment and placebo. The similar insulin profiles were probably related to the lower incremental increase in glucose. A potential additional factor explaining this observation may be the loss of body weight during the course of the trial, possibly impacting insulin resistance. These findings are consistent with previous observations on the relative contributions of insulin stimulation and glucagon inhibition in overall glucose turnover mediated by exogenous GLP-1 and other GLP-1RAs [25]. Mean 2 h postprandial glucose was lower than the 2 h postprandial goal (<10 mmol/l) as recommended by the ADA [26], and more than 80% of the semaglutide-treated participants achieved the ADA target.
Beta cell responsiveness was markedly increased after treatment with semaglutide compared with placebo, and at the end of treatment closely resembled that of healthy participants, as measured by the GGIT. It is important to note, however, that BMI was higher in participants with type 2 diabetes than in healthy participants; differences in fat mass could potentially influence insulin sensitivity and this should be kept in mind when interpreting these results [27]. In addition, mean age was also higher in participants with type 2 diabetes than in healthy participants; the negative impact of ageing on beta cell responsiveness, triacylglycerol levels [28] and glucose homeostasis should also be considered in this context [29]. The possible role of managing beta cell function in type 2 diabetes, as a means to delay disease progression, has been a subject of discussion among researchers [30]. GLP-1RAs have attenuated beta cell dysfunction to varying degrees both in animal models [31] and in humans with type 2 diabetes [32].
Semaglutide treatment was associated with marked weight loss, even during this relatively short trial. These weight loss effects have persisted in trials of longer durations with semaglutide [33] and other GLP-1RAs [34, 35]. The high proportion of individuals with type 2 diabetes who are overweight or obese makes the combination of glycaemic control and body weight loss highly relevant to clinical practice [36].
No new safety or tolerability issues were observed for semaglutide. Most AEs were mild or moderate in severity and there were no serious TEAEs that were considered likely to be related to treatment. Longer and larger scale clinical trials will provide more information on the safety profile of semaglutide [23]. As reported with other GLP-1RAs [37, 38], gastrointestinal disorders were the most commonly reported AEs with semaglutide treatment. The incidence of such events has been shown to diminish over time with liraglutide [38, 39] and can be partially ameliorated with dose escalation at the start of treatment [17].
This study was limited by its relatively small size and short duration. The SUSTAIN clinical trial programme, comprising six global phase 3 trials, will determine how the improvements in beta cell function with semaglutide translate into clinical benefits, compared with current treatment options.
In conclusion, the results of the current study are consistent with previous findings during treatment with the GLP-1 analogue liraglutide [25], and suggest that treatment with semaglutide may offer a protective effect on beta cell function. In addition, the results show that semaglutide is a promising once-weekly GLP-1 analogue for the treatment of type 2 diabetes, associated with improved beta cell responsiveness comparable with that observed in healthy individuals. All aspects of beta cell function, including first- and second-phase insulin responses, were significantly increased in participants with type 2 diabetes treated with semaglutide vs placebo after 12 weeks of treatment. In addition, semaglutide reduced fasting and postprandial glucose and glucagon levels, compared with placebo, in a 24 h meal test. Improved glycaemic responses appeared to be a combined effect on the pancreas of increased insulin secretion and decreased glucagon response. Semaglutide was well tolerated.
Electronic supplementary material
ESM (PDF 74 kb)