Literature DB >> 30047216

Impact on HbA1c and body weight of switching from other GLP-1 receptor agonists to semaglutide: A model-based approach.

Rune V Overgaard1, Søren Ø Lindberg2, Desirée Thielke3.   

Abstract

AIMS: Semaglutide is a glucagon-like peptide-1 (GLP-1) analogue approved for the treatment of type 2 diabetes. The impact of switching treatment from another GLP-1 receptor agonist (GLP-1RA) to semaglutide was investigated by analyses of exposure-response models.
METHODS: HbA1c and body weight time-course models were developed, using up to 30 weeks of observations from four trials in the semaglutide phase 3 programme. Given the recommended dosing for each GLP-1RA, pharmacokinetic profiles were simulated based on published population pharmacokinetic models and exposure was adjusted by the relative potencies to ensure that model predictions matched the effects observed in clinical trials. After 26 weeks of simulated treatment with liraglutide, dulaglutide or exenatide extended-release, simulated semaglutide treatment was initiated 1 day after the last once-daily dose of liraglutide and 1 week after the last once-weekly doses of dulaglutide or exenatide extended-release.
RESULTS: The potency-adjusted total effective GLP-1RA concentration increased after switching from another GLP-1RA to semaglutide and was associated with reductions ranging from ~0.3% to ~0.8%-points for HbA1c and from ~2% to ~4% for body weight with semaglutide 1.0 mg. Temporary slight deteriorations in HbA1c were observed after switching to semaglutide 0.25 mg from liraglutide 1.2/1.8 mg or dulaglutide 1.5 mg.
CONCLUSIONS: Exposure-response modelling suggests that switching to semaglutide from liraglutide, dulaglutide or exenatide extended-release results in further reductions in HbA1c and body weight. Initial slight deterioration in outcome values when switching to semaglutide 0.25 mg could be avoided by initiating semaglutide treatment at a higher dose.
© 2018 The Authors. Diabetes, Obesity and Metabolism published by John Wiley & Sons Ltd.

Entities:  

Keywords:  GLP-1; GLP-1 analogue; antidiabetic drug; population study; type 2 diabetes

Mesh:

Substances:

Year:  2018        PMID: 30047216      PMCID: PMC6585654          DOI: 10.1111/dom.13479

Source DB:  PubMed          Journal:  Diabetes Obes Metab        ISSN: 1462-8902            Impact factor:   6.577


INTRODUCTION

Glucagon‐like peptide‐1 (GLP‐1) is an incretin hormone that stimulates insulin secretion and inhibits glucagon secretion in a glucose‐dependent manner,1, 2 and is therefore indicated for the treatment of type 2 diabetes mellitus (T2DM).3, 4 Human GLP‐1 is secreted by intestinal L cells in response to food intake.1, 5 In addition to its antihyperglycaemic effects, GLP‐1 has beneficial effects on body weight, unlike many other treatments for T2DM.6 These effects are modulated by slowing the rate of gastric emptying and enhancing satiety, which in turn leads to reduced energy intake.7 Semaglutide (Novo Nordisk, Denmark) is a once‐weekly human GLP‐1 analogue approved for the treatment of T2DM, based on results from the SUSTAIN (Semaglutide Unabated Sustainability in Treatment of Type 2 Diabetes) phase 3 clinical development programme. Semaglutide has 94% amino acid sequence homology to native GLP‐1,8 with three structural modifications that prolong the half‐life to approximately 1 week.8, 9 In two phase 3 trials, semaglutide was compared head‐to‐head with dulaglutide and exenatide extended release (ER) and was shown to be superior in reducing HbA1c and body weight10, 11 (Figure 1). However, no studies to date have investigated switching from another GLP‐1RA to semaglutide. When contemplating such a switch between GLP‐1RAs, it is important to consider the GLP‐1RA pharmacokinetics (PK) and the current treatment dosing, once‐daily or once‐weekly. For instance, the once‐daily GLP‐1RA liraglutide is cleared from circulation within a few days,12 whereas exenatide ER provides effective exposure levels for several weeks.13 We considered that sufficient data were available to develop an exposure‐response model which would provide simulations of the expected treatment outcomes, in terms of changes in HbA1c and body weight, after switching from other GLP‐1‐RAs to semaglutide.
Figure 1

Semaglutide phase 3 SUSTAIN trials included in the analyses with semaglutide 0.5 and 1.0 mg doses. Estimated mean changes in HbA1c (A) and body weight (B) are shown. *P < 0.0001 vs comparator. The phase 2 trial is not included as multiple doses of semaglutide and liraglutide were included. Abbreviations: ER, extended release; HbA1c, glycated haemoglobin; N, number of subjects; N/A, not applicable; OAD, oral anti‐diabetic drug; SUSTAIN, Semaglutide Unabated Sustainability in Treatment of Type 2 Diabetes; TZD, thiazolidinediones

Semaglutide phase 3 SUSTAIN trials included in the analyses with semaglutide 0.5 and 1.0 mg doses. Estimated mean changes in HbA1c (A) and body weight (B) are shown. *P < 0.0001 vs comparator. The phase 2 trial is not included as multiple doses of semaglutide and liraglutide were included. Abbreviations: ER, extended release; HbA1c, glycated haemoglobin; N, number of subjects; N/A, not applicable; OAD, oral anti‐diabetic drug; SUSTAIN, Semaglutide Unabated Sustainability in Treatment of Type 2 Diabetes; TZD, thiazolidinediones The aim with the current analyses was to investigate the impact on HbA1c and body weight of switching to semaglutide from other GLP‐1RAs (liraglutide, dulaglutide and exenatide ER) and to analyse different dose escalation algorithms depending on the PK of each GLP‐1RA.

SUBJECTS AND METHODS

Trial data

A summary of the six randomized, controlled phase 2 and 3 trials included in the analyses is presented in Table 1 and estimated mean changes in HbA1c and body weight are shown in Figure 1. All were conducted in subjects with T2DM.
Table 1

Summary of the randomized, controlled trials included in the analysis

Trial, phase and designBaseline characteristics (total)
SUSTAIN 1 14 Mean (SD), N = 387
Phase 354% male
Semaglutide vs placebo monotherapyAge, y: 53.7 (11.3)
ClinicalTrials.gov ID: NCT02054897HbA1c, %: 8.05 (0.85)
BMI, kg/m2: 32.9 (7.7)
Diabetes duration, y: 4.2 (5.5)
SUSTAIN 2 15 Mean (SD), N = 1225
Phase 351% male
Semaglutide vs sitagliptin as add‐on toAge, y: 55.1 (10.0)
Metformin and/or TZDHbA1c, %: 8.07 (0.93)
ClinicalTrials.gov ID: NCT01930188BMI, kg/m2: 32.5 (6.2)
Diabetes duration, y: 6.6 (5.1)
SUSTAIN 3 11 Mean (SD), N = 809
Phase 355% male
Semaglutide vs exenatide ER as add‐on to 1 or 2 OADsAge, y: 56.6 (10.7)
ClinicalTrials.gov ID: NCT01885208HbA1c, %: 8.3 (1.0)
BMI, kg/m2: 33.8 (6.3)
Diabetes duration, y: 9.2 (6.8)
SUSTAIN–Japan 16 Mean (SD), N = 601
Phase 372% male
Semaglutide monotherapy or OAD combinationAge, y: 58.5 (10.3)
ClinicalTrials.gov ID: NCT02207374HbA1c, %: 8.1 (0.9)
BMI, kg/m2: 26.4 (4.7)
Diabetes duration, y: 8.8 (6.4)
SUSTAIN 7 10 Mean (SD), N = 1199
Phase 355% male
Semaglutide vs dulaglutide as add‐on to metforminAge, y: 56.0 (10.6)
ClinicalTrials.gov ID: NCT02648204HbA1c, %: 8.20 (0.92)
BMI, kg/m2: 33.5 (6.8)
Diabetes duration, y: 7.4 (5.6)
Phase 2 dose‐finding 17 Mean (SD), N = 705
Semaglutide vs placebo and liraglutide54% male
ClinicalTrials.gov ID: NCT02461589Age, y: 56.7 (9.9)
HbA1c, %: 8.06 (0.84)
BMI, kg/m2: 32.8 (4.4)
Diabetes duration, y: 7.2 (5.6)

Abbreviations: BW, body weight; ER, extended release; HbA1c, glycated haemoglobin; ID, identifier; OAD, oral antidiabetic drug; SD, standard deviation; SUSTAIN, Semaglutide Unabated Sustainability in Treatment of Type 2 Diabetes; TZD, thiazolidinediones.

Summary of the randomized, controlled trials included in the analysis Abbreviations: BW, body weight; ER, extended release; HbA1c, glycated haemoglobin; ID, identifier; OAD, oral antidiabetic drug; SD, standard deviation; SUSTAIN, Semaglutide Unabated Sustainability in Treatment of Type 2 Diabetes; TZD, thiazolidinediones.

Predictions of HbA1c and body weight

The following strategy was applied to predict the HbA1c and body weight time courses when switching from another GLP‐1RA to semaglutide. (1) Published PK models were used to predict the exposure time‐course of liraglutide, dulaglutide, exenatide ER and semaglutide for exposure response modelling, including potential switch scenarios.18, 19, 20, 21 (2) Time‐course exposure‐response models for semaglutide were developed based on data from the SUSTAIN trials (Figure 1 and Table S1). (3) Potency differences for each of the GLP‐1RAs and semaglutide were derived and the information was used to convert the exposure of the other GLP‐1RAs into the equivalent exposure of semaglutide. (4) The time‐course exposure‐response models and the adjusted exposure of different switch scenarios were used to predict HbA1c and body weight outcomes. Each of these steps is described in more detail below.

Simulation of pharmacokinetics for each treatment

For each GLP‐1RA treatment, including semaglutide, population PK models were applied; all used similar techniques and were based on nonlinear mixed‐effects modelling using the software program, NONMEM (ICON Development Solutions, Ellicott City, Maryland) version 7.1.2. Depending on the purpose, PKs were simulated using either individual parameter estimates based on observed concentration values or typical PK parameters based on the demographic information available. Individual demographic data were available and applied for liraglutide, and the exposure‐response across individuals was applied during potency adjustment. For the dulaglutide and exenatide ER potency adjustment and the final simulations, an average demographic profile rather than a distribution was used. For the analysis of liraglutide, which was compared with semaglutide in the phase 2 trial,17 we applied a PK model based on data from previous trials that investigated liraglutide doses of 1.8 and 3.0 mg in subjects with overweight or obesity, with or without T2DM.18 The volume of distribution was based on a clinical pharmacology trial in adults with obesity and without T2DM,22 to match the peak‐to‐trough ratios observed based on full PK profiles under steady‐state conditions. For the analysis of dulaglutide, which was compared with semaglutide in the SUSTAIN 7 phase 3 trial,10 we applied the population PK model using data from previous trials with weekly doses of dulaglutide between 0.1 and 3 mg in subjects with T2DM.19 For the analysis of exenatide ER, which was compared with semaglutide in the SUSTAIN 3 phase 3 trial,11 we applied a clinical pharmacology population PK model, using data from previous trials with single‐dose administration of 2.5, 5, 7 and 10 mg of exenatide ER or weekly doses of 0.8 and 2.0 mg in subjects with T2DM.20 For the analysis of semaglutide, we applied the SUSTAIN population PK model, which used data from five phase 3 trials, SUSTAIN 1, 2, 3, 6 and SUSTAIN–Japan, which investigated weekly semaglutide doses of 0.5 and 1.0 mg in subjects with T2DM.21

HbA1c and body weight time‐course models

Time‐course models of HbA1c and body weight were developed for semaglutide using data up to week 30, which was the duration of the shortest phase 3 trial, based on the SUSTAIN exposure‐response population23 from four clinical trials, SUSTAIN 1, 2, 3 and SUSTAIN–Japan.11, 14, 15, 16 Two of the trials were not included as they either applied daily dosing rather than weekly dosing of semaglutide (phase 2 trial) or did not measure semaglutide concentrations (SUSTAIN 7) (Table S1). Maintenance doses of 0.5 and 1.0 mg semaglutide were used, as well as semaglutide 0.25 mg, which was used in the first 4 weeks during dose escalation. The models were mixed‐effects indirect response models based on simulated exposure levels at each week (obtained via individual PK parameter estimates based on observed concentration values). A previously published cross‐sectional Emax model was used as a starting point,23 and for the present work, we explored each covariate factor to ensure that only clear and statistically significant covariates were included. Graphical analysis of model fit to the time‐course response data, grouped according to covariates, revealed that a number of the pre‐selected covariates could be removed, and additionally, that baseline HbA1c was more likely to influence the Emax for body weight than the placebo effect for body weight. The covariates included in the final model for HbA1c were baseline HbA1c and trial effects; those included in the final model for body weight were sex, HbA1c and trial effects. Model fit across demographic variables influencing treatment response is presented in Figure S1. The models for HbA1c and body weight were validated, based on the four trials used for model development, by visual predictive checks and by model fit to response time‐course in subgroups defined by the covariates. Additionally, an external validation was undertaken by simulating the HbA1c and body weight response for semaglutide, dulaglutide and exenatide ER in SUSTAIN 3 and SUSTAIN 7 (Supplementary Figures S1 and S2). It was not feasible to investigate effects on safety because the exposure‐dependent effects on safety, mainly gastrointestinal adverse events, with semaglutide were previously observed primarily during the initiation of treatment23 and in the present analysis, subjects were already receiving treatment with another GLP‐1RA.

Potency adjustment

The concentration of each GLP‐1RA was adjusted by the relative potency to obtain the equivalent semaglutide exposure, that is, the exposure of semaglutide that provides the same response as the original concentration of the GLP‐1RA. As potency differences with respect to both body weight and HbA1c effects were expected, the potency adjustment was performed for both endpoints. The potency adjustment for liraglutide illustrated in Figure S3 was based on joint exposure‐response analyses of data concerning liraglutide and semaglutide from a phase 2 dose‐finding trial17 for HbA1c and body weight. Liraglutide exposure over 26 weeks (efficacy outcomes were not measured at Week 30) was predicted based on demographic and dosing information for individual subjects, whereas semaglutide exposure was obtained via individual PK parameter estimates based on observed concentration values (see section 2.3). Figure S3 illustrates that liraglutide exposure levels in the clinically relevant range can be potency‐adjusted to match the semaglutide exposure‐response relationship, and hence, the semaglutide model can be used to predict the response to liraglutide treatment. For dulaglutide and exenatide ER, the simulations for potency adjustment were based on a typical subject approach, performed in the same way as the simulated switch scenarios were performed, to ensure that the differences in response matched specific trials. For dulaglutide, the trial factor and potency adjustment was derived, to ensure that the model predicted the correct effects at Week 28 (efficacy outcomes were not measured at Week 30) for dulaglutide and semaglutide from the SUSTAIN 7 trial.10 For exenatide ER, the potency adjustment was derived to match the effects at Week 30 for exenatide ER and semaglutide from the SUSTAIN 3 trial.11 The potency adjustment for dulaglutide and exenatide ER with respect to HbA1c is shown in Figure 2. The similar potency adjustments for body weight for both treatments are provided in Figure S4.
Figure 2

Validation of HbA1c predictions for dulaglutide based on the SUSTAIN 7 trial (left) and for exenatide ER based on the SUSTAIN 3 trial (right).10, 11 Efficacy data from dulaglutide and exenatide ER were not used directly to estimate the model, but data at Week 28 or Week 30 time points were used to adjust the potency of the two compounds. Response data are presented as means with 95% CI, where missing response data or data collected while subjects had discontinued treatment or were receiving rescue medication were imputed using an MMRM analysis, with treatment and country as fixed factors and baseline values as covariates, nested within visits, and adjusted according to the observed baseline distribution. The symbols at the right show changes at the end of the trial (40 weeks for SUSTAIN 7, 56 weeks for SUSTAIN 3). Abbreviations: CI, confidence interval; ER, extended release; MMRM, mixed model for repeated measures; HbA1c, glycated haemoglobin A1c; SUSTAIN, Semaglutide Unabated Sustainability in Treatment of Type 2 Diabetes

Validation of HbA1c predictions for dulaglutide based on the SUSTAIN 7 trial (left) and for exenatide ER based on the SUSTAIN 3 trial (right).10, 11 Efficacy data from dulaglutide and exenatide ER were not used directly to estimate the model, but data at Week 28 or Week 30 time points were used to adjust the potency of the two compounds. Response data are presented as means with 95% CI, where missing response data or data collected while subjects had discontinued treatment or were receiving rescue medication were imputed using an MMRM analysis, with treatment and country as fixed factors and baseline values as covariates, nested within visits, and adjusted according to the observed baseline distribution. The symbols at the right show changes at the end of the trial (40 weeks for SUSTAIN 7, 56 weeks for SUSTAIN 3). Abbreviations: CI, confidence interval; ER, extended release; MMRM, mixed model for repeated measures; HbA1c, glycated haemoglobin A1c; SUSTAIN, Semaglutide Unabated Sustainability in Treatment of Type 2 Diabetes Once the exposure had been potency adjusted, it was possible to use the semaglutide exposure‐response model to simulate the outcome of liraglutide, dulaglutide and exenatide ER treatment and to obtain the same results as those observed in the clinical trials. In order to simulate the combined effects with semaglutide when subjects were exposed to two long‐acting GLP‐1RAs at the same time, it was considered appropriate, as all treatments targeted the same receptor, to apply the sum of the potency‐adjusted exposure, that is, the total effective GLP‐1RA concentration.

Simulation of switch scenarios for HbA1c and body weight

A number of scenarios were simulated based on the approach described above. Subjects were assumed to be using stable treatment for 26 weeks with: (1) liraglutide 1.2 mg; (2) liraglutide 1.8 mg; (3) dulaglutide 0.75 mg; (4) dulaglutide 1.5 mg; or (5) exenatide ER 2.0 mg. Treatment with semaglutide was initiated 1 day after the last once‐daily liraglutide dose and 1 week after the last once‐weekly dose of dulaglutide or exenatide ER. Semaglutide was investigated using either the standard regimen of dose escalation, starting with 0.25 mg for 4 weeks, followed by dose escalations every 4 weeks to 0.5 mg and subsequently to 1.0 mg, or a dose of 0.5 mg was initiated and administered for 4 weeks, with subsequent escalation to 1.0 mg. Simulations were based on a typical subject approach, simulating the median outcome for a population similar to the trial populations of the two phase 3 GLP‐1RA comparator trials, SUSTAIN 3 and 7.10, 11 The population was 50% male, with a mean baseline body weight of 95 kg and a mean baseline HbA1c of 8.3%.

Validation of response predictions

In addition to standard model validation for the prediction of semaglutide response following a switch from other GLP‐1RAs that is provided in Appendix S1, the model was validated to provide an accurate time‐course prediction for dulaglutide and exenatide ER with respect to HbA1c (Figure 2) and body weight (Figure S4). Figure 2 illustrates agreement between the model predictions and the observed HbA1c outcome, confirming key differences between semaglutide, dulaglutide and exenatide ER. First, dulaglutide, in particular the 1.5 mg dose, provided a better outcome immediately after initiation of treatment, with a steeper decrease in the first 10 weeks with dulaglutide 1.5 mg compared to semaglutide; however, at steady state, after completion of semaglutide dose escalation, semaglutide clearly had a greater effect on HbA1c. Second, semaglutide had a greater effect than exenatide ER on HbA1c, both during initiation of treatment and at steady state concentrations.

RESULTS

Population characteristics

Baseline HbA1c, body weight and background medication of the population included in the analyses are presented in Figure 1 by trial, together with the estimated treatment effects for HbA1c and body weight. Additional baseline characteristics are included in Table 1.

Effect of switching from another GLP‐1RA to semaglutide

In the exposure‐response analyses, the potency‐adjusted concentration of GLP‐1RA (liraglutide 1.2 or 1.8 mg, dulaglutide 0.75 or 1.5 mg and exenatide ER 2.0 mg), before and after switching at Week 26 to semaglutide 0.25 mg, and subsequently to semaglutide 0.5 and 1.0 mg, is shown in Figure 3. The increased concentrations of GLP‐1RA associated with semaglutide led to further decreases in HbA1c and body weight, with ultimate reductions at Week 52 ranging from ~0.3% to ~0.8%‐points for HbA1c and from ~2% to ~4% for body weight with semaglutide 1.0 mg. The effect on potency‐adjusted GLP‐1RA concentration of switching directly to semaglutide 0.5 mg, that is, without including the 0.25 mg dose escalation step, is shown in Figure 4, together with the same associated reductions in HbA1c and body weight.
Figure 3

Effect of switching from treatment with another GLP‐1RA to semaglutide treatment, starting at a dose of 0.25 mg. The top three panels show the potency‐adjusted GLP‐1RA concentration before and after switching to semaglutide 0.25 mg at Week 26 and escalating every 4 weeks to 0.5 mg, and subsequently to 1.0 mg. The pink and maroon boxes within the top left panel represent the rapid daily fluctuations in liraglutide 1.2 and 1.8 mg, respectively, at steady state, achieved via a weekly dose escalation of 0.6 mg. The effects on HbA1c (bottom left) and body weight (bottom right) relative to baseline of switching to semaglutide at Week 26 are also shown. Abbreviations: ER, extended release; GLP‐1RA, glucagon‐like peptide‐1 receptor agonist; HbA1c, glycated haemoglobin A1c

Figure 4

Effect of switching from treatment with another GLP‐1RA to semaglutide treatment, starting at a dose of 0.5 mg. The top three panels show the GLP‐1RA concentration before and after switching to semaglutide 0.5 mg at week 26 and escalating after 4 weeks to 1.0 mg. The pink and maroon boxes within the top left panel represent the rapid daily fluctuations in liraglutide 1.2 and 1.8 mg, respectively, at steady state, achieved via a weekly dose escalation of 0.6 mg. The effects on HbA1c (bottom left) and body weight (bottom right) relative to baseline of switching to semaglutide at Week 26 are also shown. Note: Initiating semaglutide at a dose of 0.5 mg does not conform with prescribing information for semaglutide.24 Abbreviations: ER, extended release; GLP‐1RA, glucagon‐like peptide‐1 receptor agonist; HbA1c, glycated haemoglobin A1c

Effect of switching from treatment with another GLP‐1RA to semaglutide treatment, starting at a dose of 0.25 mg. The top three panels show the potency‐adjusted GLP‐1RA concentration before and after switching to semaglutide 0.25 mg at Week 26 and escalating every 4 weeks to 0.5 mg, and subsequently to 1.0 mg. The pink and maroon boxes within the top left panel represent the rapid daily fluctuations in liraglutide 1.2 and 1.8 mg, respectively, at steady state, achieved via a weekly dose escalation of 0.6 mg. The effects on HbA1c (bottom left) and body weight (bottom right) relative to baseline of switching to semaglutide at Week 26 are also shown. Abbreviations: ER, extended release; GLP‐1RA, glucagon‐like peptide‐1 receptor agonist; HbA1c, glycated haemoglobin A1c Effect of switching from treatment with another GLP‐1RA to semaglutide treatment, starting at a dose of 0.5 mg. The top three panels show the GLP‐1RA concentration before and after switching to semaglutide 0.5 mg at week 26 and escalating after 4 weeks to 1.0 mg. The pink and maroon boxes within the top left panel represent the rapid daily fluctuations in liraglutide 1.2 and 1.8 mg, respectively, at steady state, achieved via a weekly dose escalation of 0.6 mg. The effects on HbA1c (bottom left) and body weight (bottom right) relative to baseline of switching to semaglutide at Week 26 are also shown. Note: Initiating semaglutide at a dose of 0.5 mg does not conform with prescribing information for semaglutide.24 Abbreviations: ER, extended release; GLP‐1RA, glucagon‐like peptide‐1 receptor agonist; HbA1c, glycated haemoglobin A1c The modelled effects on HbA1c during the transition period of switching from another GLP‐1RA to semaglutide are summarized in Table 2.
Table 2

Summary of the effects on HbA1c during transition after switching from another GLP‐1RA to semaglutide at a starting dose of 0.25 or 0.5 mg

Initial treatment Switch to semaglutide 0.25 mg Switch to semaglutide 0.5 mg a
Liraglutide 1.2 mgSmall transient HbA1c increaseStable HbA1c
Liraglutide 1.8 mgSmall transient HbA1c increaseStable HbA1c
Dulaglutide 0.75 mgb Stable HbA1cImmediate improvement in HbA1c
Dulaglutide 1.5 mgSmall transient HbA1c increaseStable HbA1c
Exenatide ER 2.0 mgc Gradual improvement in HbA1cImmediate improvement in HbA1c

Abbreviations: ER, extended release; GLP‐1RA, glucagon‐like peptide‐1 receptor agonist; HbA1c, glycated haemoglobin.

It should be noted that semaglutide is currently marketed at a starting dose of 0.25 mg.24

Cautious initiation of semaglutide is recommended because of low effect compared to semaglutide 0.5 mg.

Cautious initiation of semaglutide is recommended as exenatide ER pharmacokinetics are extended beyond 1 week.13

Summary of the effects on HbA1c during transition after switching from another GLP‐1RA to semaglutide at a starting dose of 0.25 or 0.5 mg Abbreviations: ER, extended release; GLP‐1RA, glucagon‐like peptide‐1 receptor agonist; HbA1c, glycated haemoglobin. It should be noted that semaglutide is currently marketed at a starting dose of 0.25 mg.24 Cautious initiation of semaglutide is recommended because of low effect compared to semaglutide 0.5 mg. Cautious initiation of semaglutide is recommended as exenatide ER pharmacokinetics are extended beyond 1 week.13

Switching from liraglutide to semaglutide

Liraglutide at once‐daily doses of 1.2 and 1.8 mg was eliminated from the bloodstream within days in the model following cessation of treatment (Figure 3). After switching from the lower dose of liraglutide 1.2 mg to once‐weekly semaglutide 0.25 mg, there was a temporary small deterioration (increase) in HbA1c of up to ~0.25%‐points. This deterioration was greater when switching from liraglutide 1.8 mg to semaglutide 0.25 mg. If treatment with semaglutide was initiated at a dose of 0.5 mg, the HbA1c deterioration was negligible (Figure 4). A similar pattern was observed for body weight (Figure 4), also with the lower dose of liraglutide 0.9 mg in Japanese subjects (Figure S5).

Switching from dulaglutide to semaglutide

When switching from the lowest dose of once‐weekly dulaglutide, 0.75 mg, to the semaglutide 0.25 mg regimen in the model, the effective GLP‐1RA concentration gradually increased and HbA1c remained stable during the transition before decreasing (Figure 3). Body weight immediately decreased after switching to semaglutide 0.25 mg. In contrast, initiation of semaglutide 0.25 mg 1 week after cessation of the higher dose of dulaglutide 1.5 mg led to an initial reduction in the potency‐adjusted GLP‐1RA concentration and a concomitant small temporary deterioration in HbA1c level, but not in body weight loss. This deterioration in HbA1c was avoided by initiating semaglutide treatment at a dose of 0.5 mg (Figure 4).

Switching from exenatide ER to semaglutide

Exenatide ER 2.0 mg remained in circulation at effective concentration levels for ~6 weeks after the last dose. Switching to semaglutide at a dose of 0.25 mg 1 week after cessation of exenatide ER resulted in gradual increases in the total effective GLP‐1RA concentration and in gradual improvements (reductions) in HbA1c and body weight in the model (Figure 3). Switching directly to semaglutide 0.5 mg led to a more rapid increase in GLP‐1RA concentration and concomitant immediate reductions in HbA1c and body weight (Figure 4).

DISCUSSION

The present exposure‐response analyses investigated the simulated effects of switching from treatment with liraglutide, dulaglutide or exenatide ER to treatment with semaglutide. After switching, short‐term excursions were observed with some treatments when initiating semaglutide treatment at a dose of 0.25 mg, but ultimately, improvements in glycaemic control and body weight were achieved, with an ultimate reduction at 52 weeks ranging from ~0.3% to ~0.8%‐points for HbA1c and from ~2% to ~4% for body weight. A more rapid reduction in HbA1c and body weight was observed when switching directly to semaglutide 0.5 mg. The knowledge obtained from this study is of potential benefit to clinicians and patients in providing guidance concerning management of T2DM. A variety of treatment options are available for the management of T2DM and a patient‐centred individual approach is required.25, 26 GLP‐1RAs in general are of interest, not only because of their effect on glycaemic control, but also because of their effect on weight loss and the low risk of hypoglycaemia as well as cardiovascular effects.3, 27, 28 The effects of long‐acting GLP‐1RAs generally appear to be greater than those achieved with their short‐acting counterparts, making the once‐weekly GLP‐1RAs particularly attractive for patients with inadequate glycaemic control.3, 29 Other benefits such as greater convenience and, thus, better adherence to treatment have also been reported with once‐weekly GLP‐1RAs.30 Furthermore, semaglutide has demonstrated superior efficacy to other GLP‐1RAs in the SUSTAIN programme, with statistically significant reductions in HbA1c and body weight with semaglutide vs dulaglutide and exenatide ER.10, 11 The present study used simulated exposure‐response analyses to provide additional information about the clinical effects during the transition period when switching from another GLP‐1RA to semaglutide. When simulating the switch to semaglutide at a starting dose of 0.25 mg from liraglutide 1.2 or 1.8 mg, a temporary slight increase in HbA1c was observed. This effect was abrogated when simulating initiation of semaglutide at a dose of 0.5 mg. A similar pattern was observed with dulaglutide 1.5 mg. Conversely, the temporary increase in HbA1c was not observed when switching from dulaglutide 0.75 mg to semaglutide 0.25 mg. It should be noted that, according to the label,24 the dose escalation regimen for semaglutide starts at a dose of 0.25 mg to ameliorate gastrointestinal side effects. It is not known how switching directly to semaglutide 0.5 mg might impact gastrointestinal tolerability; however, long‐term treatment with GLP‐1RAs is associated with development of tolerance.10, 11, 14, 15, 23, 31 When switching to semaglutide from once‐weekly exenatide ER 2.0 mg, the protracted half‐life of several weeks of exenatide ER is worth noting.13 However, based on our analysis, switching to the semaglutide 0.25 mg dose resulted in gradual increases in the total effective GLP‐1 concentration and led to a gradual improvement in HbA1c and body weight. We did not simulate tolerability when switching to semaglutide as tolerability depends on many factors, including previous treatment duration and tolerability of the GLP‐1RA treatment.32 In the present simulation, subjects were already receiving treatment with another GLP‐1RA. In general, we would expect limited gastrointestinal tolerability issues if switching between two GLP1‐RAs can be achieved without sudden increases in GLP‐1RA concentration. Several methods of model validation were applied for HbA1c and body weight, which generally indicated consistency in data, with the exception of the body weight response over time in the SUSTAIN 3 trial, indicating some bias in prediction during the first weeks of the study. Due to the variability among subjects and among trials, this finding may be artificial, and as the discrepancies among models were small and were present only at low concentrations, they would not be expected to significantly influence the simulated switch scenarios or the conclusions drawn. Data on HbA1c and body weight from the SUSTAIN 3 and 7 clinical trials10, 11 were adequately predicted up to Week 30 in the present analyses. Part of the treatment effects on these endpoints decreased in the clinical trials when approaching 1 year.10, 11 In the SUSTAIN 3 trial, the reduced effects, which were not incorporated into the present models, appeared more pronounced for exenatide ER compared to semaglutide.11 Therefore, potentially even greater benefits of switching to semaglutide may be seen in the longer term. Previous exposure‐response analyses for the SUSTAIN trials revealed a clear reduction in HbA1c and weight across exposures after 30 weeks, the duration of the shortest trial, irrespective of baseline values.23 The exposure‐response for HbA1c was influenced by baseline HbA1c, and body weight exposure‐response was influenced by sex (Figure S1); other factors had limited impact. The present analyses extended previous work by including analysis of the complete exposure‐response time course for semaglutide, and by including outcome simulations for liraglutide, dulaglutide and exenatide ER. It was assumed that the pharmacodynamic models and parameter values describing the response of the other GLP‐1RAs were the same as those estimated for semaglutide, with the exception of a difference in potency. Although rate parameters are more likely to be consistent across treatments,33 it is possible that differences exist in maximal efficacy, reflecting the differences in response seen across therapeutic dose levels for the different GLP‐1RAs. Because of the potency calibration method, a different maximal effect for one of the other GLP1‐RAs would not change the steady‐state response predictions but would lead to some bias in predictions at lower concentrations. One limitation of our analyses is that data were obtained from different trials with differences in trial design and populations; hence, variability could be an issue. This has been accounted for by the inclusion of trial as a covariate factor, and results are validated by predictions of the direct comparisons of the GLP‐1 treatments available from phase 3 trials. The model was able to reflect the data obtained from clinical trials comparing the respective GLP‐1RAs, dulaglutide and exenatide ER, to semaglutide.10, 11 Simulations also provided an indirect comparison between liraglutide and dulaglutide, with similar results as observed in the AWARD‐6 trial, in which a mean treatment difference of −0.06%‐points was observed for HbA1c.34 Moreover, in the DURATION 6 trial, a better response by 0.21%‐points with liraglutide 1.8 mg was demonstrated, compared with exenatide ER, similar to the predictions based on our analysis.35 An additional limitation is that our results provide only predictions for the mean outcomes and not for the individual patient. No data are available for the correlation between semaglutide and the other GLP‐1RAs in parameters for exposure and response, which could predict the variability among patients with regard to the potential benefits of switching to semaglutide. Undoubtedly, differences among patients do exist. However, we believe that the mean outcome will be the most informative when evaluating the potential future outcome for patients who may switch to semaglutide. In summary, pharmacokinetic and pharmacodynamic differences exist between liraglutide, dulaglutide and exenatide ER, at the approved dose levels, and it is relevant to consider these when switching to semaglutide. Exposure‐response modelling can facilitate simulation of HbA1c and weight loss outcomes following a switch from other GLP‐1RAs to semaglutide treatment. Significant and clinically relevant improvements in HbA1c and body weight are expected to occur following a switch from any of the other GLP‐1RAs to semaglutide. Table S1 Randomised, controlled trials included in the exposure‐response analyses. Figure S1 Time course models for HbA1c (A) and body weight (B) relative to baseline based on the SUSTAIN exposure‐response pool of data with semaglutide 0.5 mg (left) and semaglutide 1.0 mg (right). Figure S2 Visual predictive check for the time course models for HbA1c (top) and body weight (bottom) relative to baseline based on the SUSTAIN exposure‐response pool of data grouped according to study ID and semaglutide dose level (0.5 and 1.0 mg) or placebo. Solid lines are the mean and the two dotted lines are the 5th and 95th percentiles of the observed response. Shaded areas are the 95% confidence interval of the mean, the 5th and 95th percentiles as computed based on 1000 simulations of the exposure‐response data set. Figure S3 Potency adjustment for liraglutide for mean changes from baseline in HbA1c (A) and body weight (B). Lines through the data show the estimated exposure‐response in a joint analysis of liraglutide and semaglutide, where a potency adjustment factor was estimated for liraglutide. Response data are mean and 95% CI in exposure quantiles, with a value of 0 exposure assigned to subjects treated with placebo. Horizontal lines with diamonds along the x‐axis represent median semaglutide exposure and median potency‐adjusted liraglutide exposure. Missing response data or data collected while subjects had stopped treatment or were on rescue medication were imputed using an MMRM analysis, with treatment and country as fixed factors and baseline values as covariates, nested within visits, and adjusted according to the observed baseline distribution. Figure S4 Validation of body weight predictions for dulaglutide based on the SUSTAIN 7 trial (left) and for exenatide ER based on the SUSTAIN 3 trial (right). Efficacy data from dulaglutide and exenatide ER were not used directly to estimate the model, but data at the week 28 time point was used to adjust the potency of the two compounds. Figure S5 Effect of switching from treatment with liraglutide 0.9 mg to semaglutide treatment in Japanese subjects. The top panel shows the GLP‐1RA concentration before and after switching to semaglutide at week 26 starting at a dose of 0.25 or 0.5 mg. The light blue box in the top panel represents the rapid daily fluctuations in liraglutide 0.9 mg at steady state, which is achieved via weekly dose escalations of 0.3 and 0.6 mg. The effects on HbA1c (middle) and body weight (bottom) relative to baseline of switching to semaglutide at week 26 are also shown. Note: starting at a semaglutide dose of 0.5 mg is not according to the prescribing information for semaglutide (FDA. Ozempic [semaglutide], US Prescribing Information. https://wwwaccessdatafdagov/drugsatfda_docs/label/2017/209637lblpdf2017). ER, extended release; GLP‐1RA, glucagon‐like peptide‐1 receptor agonist; HbA1c, glycated haemoglobin A1c. Click here for additional data file.
  35 in total

1.  Semaglutide and Cardiovascular Outcomes in Patients with Type 2 Diabetes.

Authors:  Steven P Marso; Stephen C Bain; Agostino Consoli; Freddy G Eliaschewitz; Esteban Jódar; Lawrence A Leiter; Ildiko Lingvay; Julio Rosenstock; Jochen Seufert; Mark L Warren; Vincent Woo; Oluf Hansen; Anders G Holst; Jonas Pettersson; Tina Vilsbøll
Journal:  N Engl J Med       Date:  2016-09-15       Impact factor: 91.245

2.  Population Pharmacokinetics of an Extended-Release Formulation of Exenatide Following Single- and Multiple-Dose Administration.

Authors:  Brenda Cirincione; Jeffrey Edwards; Donald E Mager
Journal:  AAPS J       Date:  2016-11-28       Impact factor: 4.009

3.  A 26-Week Randomized Controlled Trial of Semaglutide Once Daily Versus Liraglutide and Placebo in Patients With Type 2 Diabetes Suboptimally Controlled on Diet and Exercise With or Without Metformin.

Authors:  Ildiko Lingvay; Cyrus V Desouza; Katarina S Lalic; Ludger Rose; Thomas Hansen; Jeppe Zacho; Thomas R Pieber
Journal:  Diabetes Care       Date:  2018-07-19       Impact factor: 19.112

Review 4.  Glucagon-like polypeptide agonists in type 2 diabetes mellitus: efficacy and tolerability, a balance.

Authors:  Sri Harsha Tella; Marc S Rendell
Journal:  Ther Adv Endocrinol Metab       Date:  2015-06       Impact factor: 3.565

5.  Glucagon-like peptide 1 promotes satiety and suppresses energy intake in humans.

Authors:  A Flint; A Raben; A Astrup; J J Holst
Journal:  J Clin Invest       Date:  1998-02-01       Impact factor: 14.808

6.  Efficacy and safety of once-weekly semaglutide versus once-daily sitagliptin as an add-on to metformin, thiazolidinediones, or both, in patients with type 2 diabetes (SUSTAIN 2): a 56-week, double-blind, phase 3a, randomised trial.

Authors:  Bo Ahrén; Luis Masmiquel; Harish Kumar; Mehmet Sargin; Julie Derving Karsbøl; Sanja Hald Jacobsen; Francis Chow
Journal:  Lancet Diabetes Endocrinol       Date:  2017-04-03       Impact factor: 32.069

7.  Once-weekly dulaglutide versus once-daily liraglutide in metformin-treated patients with type 2 diabetes (AWARD-6): a randomised, open-label, phase 3, non-inferiority trial.

Authors:  Kathleen M Dungan; Santiago Tofé Povedano; Thomas Forst; José G González González; Charles Atisso; Whitney Sealls; Jessie L Fahrbach
Journal:  Lancet       Date:  2014-07-10       Impact factor: 79.321

8.  Semaglutide, a once-weekly human GLP-1 analog, does not reduce the bioavailability of the combined oral contraceptive, ethinylestradiol/levonorgestrel.

Authors:  Christoph Kapitza; Leszek Nosek; Lene Jensen; Helle Hartvig; Christine B Jensen; Anne Flint
Journal:  J Clin Pharmacol       Date:  2015-01-14       Impact factor: 3.126

9.  Longitudinal Modeling of the Relationship Between Mean Plasma Glucose and HbA1c Following Antidiabetic Treatments.

Authors:  J B Møller; R V Overgaard; M C Kjellsson; N R Kristensen; S Klim; S H Ingwersen; M O Karlsson
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2013-10-30

10.  Impact on HbA1c and body weight of switching from other GLP-1 receptor agonists to semaglutide: A model-based approach.

Authors:  Rune V Overgaard; Søren Ø Lindberg; Desirée Thielke
Journal:  Diabetes Obes Metab       Date:  2018-08-23       Impact factor: 6.577

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  8 in total

1.  Utilization of Pharmacokinetic/Pharmacodynamic Modeling in Pharmacoepidemiological Studies: A Systematic Review on Antiarrhythmic and Glucose-Lowering Medicines.

Authors:  Soroush Mohammadi Jouabadi; Mitra Nekouei Shahraki; Payam Peymani; Bruno H Stricker; Fariba Ahmadizar
Journal:  Front Pharmacol       Date:  2022-06-20       Impact factor: 5.988

2.  Impact of dose-escalation schemes and drug discontinuation on weight loss outcomes with liraglutide 3.0 mg: A model-based approach.

Authors:  Theodoros Papathanasiou; Anders Strathe; Henrik Agersø; Trine Meldgaard Lund; Rune Viig Overgaard
Journal:  Diabetes Obes Metab       Date:  2020-02-19       Impact factor: 6.577

3.  Switching Between Glucagon-Like Peptide-1 Receptor Agonists: Rationale and Practical Guidance.

Authors:  Jaime P Almandoz; Ildiko Lingvay; Javier Morales; Carlos Campos
Journal:  Clin Diabetes       Date:  2020-10

Review 4.  GLP-1 receptor agonists in the treatment of type 2 diabetes - state-of-the-art.

Authors:  Michael A Nauck; Daniel R Quast; Jakob Wefers; Juris J Meier
Journal:  Mol Metab       Date:  2020-10-14       Impact factor: 7.422

5.  Effectiveness and Tolerability of Once-Weekly GLP-1 Receptor Agonists in Clinical Practice: A Focus on Switching Between Once-Weekly Molecules in Type 2 Diabetes.

Authors:  Giulia Di Dalmazi; Sara Coluzzi; Maria Pompea Antonia Baldassarre; Amr Ghit; Giusi Graziano; Maria Chiara Rossi; Beatrice Ciappini; Marica Milo; Federica Carrieri; Antonio Nicolucci; Agostino Consoli; Gloria Formoso
Journal:  Front Endocrinol (Lausanne)       Date:  2022-07-15       Impact factor: 6.055

6.  A model-based simulation of glycaemic control and body weight when switching from semaglutide to 3.0- and 4.5-mg doses of once-weekly dulaglutide.

Authors:  Lai San Tham; Kevin M Pantalone; Kathleen Dungan; Kashif Munir; Cheng Cai Tang; Manige Konig; Anita Y M Kwan
Journal:  Diabetes Obes Metab       Date:  2021-11-08       Impact factor: 6.408

7.  Impact on HbA1c and body weight of switching from other GLP-1 receptor agonists to semaglutide: A model-based approach.

Authors:  Rune V Overgaard; Søren Ø Lindberg; Desirée Thielke
Journal:  Diabetes Obes Metab       Date:  2018-08-23       Impact factor: 6.577

8.  Switching between GLP-1 receptor agonists in clinical practice: Expert consensus and practical guidance.

Authors:  Akshay B Jain; Amar Ali; Juan J Gorgojo Martínez; Irene Hramiak; Ketan Kavia; Sten Madsbad; Louis Potier; Ben D Prohaska; Jodi L Strong; Tina Vilsbøll
Journal:  Int J Clin Pract       Date:  2020-11-03       Impact factor: 2.503

  8 in total

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