Skip to main content

Effects of switching from dipeptidyl peptidase 4 inhibitors to oral semaglutide on oxidative stress and glycemic variability in patients with type 2 diabetes: an open-label, prospective, randomized, multicenter, parallel-group comparison study

Abstract

Background

To compare the effects of switching from dipeptidyl peptidase 4 (DPP-4) inhibitors to oral semaglutide on oxidative stress and glucose variability assessed by continuous glucose monitoring in patients with type 2 diabetes mellitus (T2DM).

Methods

This was an open-label, prospective, randomized, multicenter, parallel-group comparison study conducted over 24 weeks. Patients with T2DM who had been taking regular doses of DPP-4 inhibitors for at least 12 weeks were enrolled. They were randomly assigned to either continue on DPP-4 inhibitors (DPP-4 inhibitor group) or switch to oral semaglutide at 3 mg/day, with a dose increase to 7 mg/day after 4 weeks (semaglutide group). The primary endpoint was the change in the diacron-reactive oxygen metabolites test, an oxidative stress marker. Secondary endpoints included changes in glucose variability assessed using continuous glucose monitoring, metabolic indices, physical assessments, and Diabetes Treatment Satisfaction Questionnaire scores.

Results

Fifty-eight patients with T2DM were randomized to the semaglutide group (n = 30) and the DPP-4 inhibitor group (n = 28). Six patients in the semaglutide group and one patient in the DPP-4 inhibitor group dropped out during the study. Ultimately, data from 24 patients in the semaglutide group and 27 patients in the DPP-4 inhibitor group were included for analysis. Switching to oral semaglutide therapy for 24 weeks significantly reduced oxidative stress, glucose variability, and hemoglobin A1c levels compared to continuous treatment with DPP-4 inhibitors. However, there was no significant difference in Diabetes Treatment Satisfaction Questionnaire scores between the two groups. (II)

Conclusions

Our study demonstrated that switching to oral semaglutide therapy from DPP-4 inhibitors significantly improved oxidative stress and glycemic parameters, including glucose variability, in patients with T2DM. Trial registration: jRCT1031210620.

Introduction

Type 2 diabetes mellitus (T2DM) is a major risk factor for cardiovascular disease (CVD), a leading cause of death in these patients [1]. Therefore, for patients with T2DM, it is crucial to prevent future CVD events and reduce the increased mortality. Injectable glucagon-like peptide-1 receptor agonists (GLP-1RAs) have been shown to decrease glycated hemoglobin (HbA1c) values and body weight (BW), reducing the risk of CVD events in patients with T2DM with established CVD or at high risk for CVD [2,3,4]. The American Diabetes Association and European Association for the Study of Diabetes Consensus Report now recommend the use of GLP-1RA for treating T2DM patients with atherosclerotic CVD and/or multiple coronary risk factors, regardless of baseline HbA1c values [5]. However, injectable GLP-1RAs have certain disadvantages, including high cost, low tolerability, and the requirement for subcutaneous administration, which may limit their use in patients with T2DM [6]. In recent years, oral semaglutide, the first-in-class oral GLP-1RA offering equipotent hypoglycemic effects to injectable GLP-1RAs with a low risk of hypoglycemia, has been approved for the treatment of T2DM [7, 8], positioning it as a potential therapeutic agent for managing T2DM. Conversely, several clinical trials have shown that dipeptidyl peptidase 4 (DPP-4) inhibitors, another type of oral incretin-based therapy, have a neutral effect on CVD in patients with T2DM [9,10,11]. DPP-4 inhibitors are one of the most commonly prescribed oral hypoglycemic agents, particularly in Japan, because of their affordability and efficacy, minimal risk of hypoglycemia, and no risk of BW gain [12]. The American Diabetes Association and European Association for the Study of Diabetes Consensus Report recommend the use of DPP-4 inhibitors to maintain glycemic control and achieve optimal BW goals in patients with T2DM [5].

HbA1c is considered the gold standard biomarker for assessing glycemic control and is strongly linked to the future risk of diabetic vascular complications [13]. Furthermore, many clinical trials have demonstrated that improvement of HbA1c reduces CVD event risk in diabetic patients [14,15,16]. However, several clinical trials have demonstrated that intensive glycemic control based on HbA1c values does not necessarily reduce the risk of CVD in patients with T2DM [17, 18]. This could partly be explained by the fact that HbA1c reflects long-term overall glycemic control and may not accurately capture glucose variability, including postprandial hyperglycemia and hypoglycemia [19]. Indeed, it has been reported that in patients with type 2 diabetes, glucose variability is more correlated with brachial-ankle pulse wave velocity [20], a surrogate marker of CVD risk, than with HbA1c itself [21]. In addition, we have previously found that glucose-lowering therapies that reduce daily and day-to-day glucose variability could decrease the levels of diacron-reactive oxygen metabolites (d-ROMs), a surrogate marker of oxidative stress, in patients with T2DM [22]. Given that glucose variability has been associated with endothelial dysfunction and oxidative stress, both of which contribute to the development and progression of CVD [23,24,25], improving glucose variability—something that cannot be accurately assessed using HbA1c values—may represent a novel therapeutic target for managing T2DM.

In the PIONEER 3 trial, oral semaglutide was found to be more effective than sitagliptin, a DPP4 inhibitor, in reducing HbA1c values and BW in patients with T2DM [26]. Recently, Furusawa et al. reported that switching from DPP4 inhibitors to oral semaglutide improved HbA1c [27]. However, to the best of our knowledge, there is a lack of clinical studies comparing the impact of oral semaglutide and DPP4 inhibitors on oxidative stress and glucose variability in patients with T2DM. Therefore, the aim of this study was to compare the effects of oxidative stress and glucose variability using continuous glucose monitoring (CGM) in patients with T2DM.

Methods

Study design

The present study was designed as an open-label, prospective, randomized, multicenter, parallel-group comparison study for 24 weeks at Showa University Hospital, Tokatsu Hospital, Seino Internal Medicine Clinic, and Jiyugaoka Medical Clinic in Japan between February 2022 and May 2023. Figure 1 summarizes the study protocol. Patients were randomly assigned to either the DPP-4 inhibitors group (maintaining regular doses of DPP-4 inhibitors for 12 weeks) or the semaglutide group (replacing DPP-4 inhibitors with oral semaglutide at 3 mg/day, with a dose increase to 7 mg/day after 4 weeks). Randomization was performed using the Mujinwari online computer-generated system (URL:https://mujinwari.biz/users/login). Allocation factors included sex (male, female), age (< 65, ≥ 65 years), and HbA1c (< 7.5%, ≥ 7.5%). At baseline and 24 weeks after the intervention, clinical and laboratory parameters were measured before breakfast on Day 1 of CGM, as previously described [28]: BW, blood pressure, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, triglycerides, estimated glomerular filtration rate, fasting plasma glucose (FPG), and HbA1c. All clinical data (age, diabetes duration, smoking habit, and gender) were retrieved from medical records. Diabetes treatment remains essentially unchanged unless there is a risk of hypoglycemia. Patients were instructed not to change their lifestyle or alter the dose of any concomitant drugs. The study protocol was approved by the Ethics Committee of Showa University (approval no. 21–128-A) and adhered to the principles of the Declaration of Helsinki and current legal regulations in Japan. After thoroughly explaining the study protocol, informed consent was obtained from all participants. This study was registered with the Japan Registry of Clinical Trials (jRCT1031210620).

Fig. 1
figure 1

Study protocol. Outpatients with type 2 diabetes mellitus (T2DM) who had been on regular doses of dipeptidyl peptidase 4 inhibitors for at least 12 weeks were randomly assigned to either a maintenance therapy group receiving dipeptidyl peptidase 4 inhibitors or a group whose treatment was switched to oral semaglutide

Participants

This study enrolled outpatients with T2DM who had been on regular doses of DPP-4 inhibitors for at least 12 weeks. The patients were aged 20 years or older, had HbA1c values of 7.0% or higher, and had been receiving DPP-4 inhibitor therapy for 12 weeks or more. Exclusion criteria were (1) treatment with steroid and/or anti-inflammatory drugs; (2) diabetic ketosis and/or coma within 3 months prior to the study; (3) severe infection, trauma, or perioperative period; (4) estimated glomerular filtration rate of 30 mL/min/1.73 m2 or lower by the Cockcroft-Gault formula; (5) malignancy; (6) pregnancy; (7) deemed inappropriate for inclusion by their physicians; and (8) use of implantable medical devices such as cardiac pacemakers.

Procedures and measurements

A FreeStyle Libre Pro CGM device (Abbott Japan, Tokyo, Japan) was subcutaneously inserted into each patient on Day 1 and removed on Day 14. Glucose variability was calculated from Day 3 to Day 12 to ensure accurate results. The coefficient of variation was determined by dividing the standard deviation (SD) of the glucose levels by the mean glucose level (MGL) and multiplying by 100 [29]. To assess daily glucose variability, the mean amplitude of glucose excursion (MAGE) was calculated [30]. The mean daily difference of blood glucose (MODD) was calculated as the mean of the absolute difference between the corresponding glucose values [31]. Furthermore, time above range (TAR) indicated the percentage of time spent above 180 mg/dL, time in range (TIR) represented the percentage of time within the target range of 70–180 mg/dL over a 24-h period, and time below range reflected the percentage of time spent below 70 mg/dL [32].

Laboratory measurements

Oxidative stress was assessed using the d-ROMs test, as previously described [33, 34]. This test assesses free radical activity by measuring serum levels of hydroperoxides, and its results are reported in Caratelli Units (U.CARR), where 1 U.CARR is equivalent to the oxidant capacity of 0.08 mg/dL H2O2 solution, with a normal range of 250–300 U.CARR. Moreover, clinical variables were measured using an automated analyzer (BM6070; Japan Electron Optics Laboratory, Tokyo, Japan). Plasma glucose levels were measured using the glucose oxidase method, and HbA1c percentages were measured via high-performance liquid chromatography [35].

Diabetes treatment satisfaction

To assess treatment satisfaction, the Diabetes Treatment Satisfaction Questionnaire (DTSQ), an eight-item self-administered questionnaire, was utilized [36, 37]. Scores were calculated at baseline and 24 weeks after the intervention. The total treatment satisfaction score was calculated by summing the scores of six satisfaction items: “current treatment,” “convenience,” “flexibility,” “understanding,” “recommend,” and “continue.” The remaining two items, “perceived hyperglycemia” and “perceived hypoglycemia,” were assessed individually.

Endpoints and assessments

The primary endpoint of the study was the change in d-ROMs from baseline after the 24-week treatment intervention. Secondary endpoints included changes in glucose variability using CGM, metabolic indices such as FPG, HbA1c, lipid profile, liver and renal function and urine albumin excretion, physical assessments such as BW and blood pressure, and DTSQ scores.

Sample size calculation

As mentioned, no clinical studies have compared the effects of GLP-1RA and DPP-4 inhibitors on oxidative stress and glucose variability. Therefore, the sample size was calculated from two perspectives. First, the degree of improvement in HbA1c values was assessed from baseline with oral semaglutide (7 mg/day) and sitagliptin, a DPP-4 inhibitor, at a dose of 50 mg/day at a regular dose of − 1.5% and − 0.65%, respectively, with a significance level of 0.05% and a power of over 80% [38, 39]. Considering a potential 20% dropout rate, a sample size of 58 individuals was needed. Second, the change in the oxidative stress marker, d-ROMs, was evaluated, aiming to detect a nominal treatment difference of 16.0 U.CARR with an SD of 39.7. To achieve 80% power at a significance level of 0.05% and assuming a 20% withdrawal rate, 48 randomized patients were required [23, 40]. Taking both calculations into account, a total of 58 cases would be required.

Statistical analysis

The normally distributed continuous data were expressed as mean and SD, while the non-normally distributed continuous data were expressed as median (interquartile range). Categorical data were expressed as numbers and percentages. Differences in continuous variables between the semaglutide and DPP-4 inhibitor groups at baseline and after treatment were evaluated using the independent samples t-test or Mann–Whitney U test, as appropriate. For comparing categorical variables, the chi-squared test was used. A p-value of < 0.05 was considered statistically significant. All statistical analyses were performed using the Statistical Package for the Social Sciences version 22 for Windows (IBM Corp., Armonk, NY, USA).

Results

Patient sample and characteristics

Figure 2 illustrates the patient inclusion process. Initially, 60 patients were screened, with one declining to participate and one not meeting the inclusion criteria. Of the remaining 58 patients, 30 were randomly assigned to the semaglutide group and 28 to the DPP-4 inhibitor group. Six patients in the semaglutide group were excluded due to gastrointestinal side effects (n = 3), moving house (n = 1), interruption of hospital visits (n = 1), and dementia (n = 1). One patient in the DPP-4 inhibitor group declined to participate. Ultimately, 24 patients in the semaglutide group and 27 in the DPP-4 inhibitor group were included for analysis (Fig. 2). Table 1 summarizes the baseline clinical characteristics. The mean age, diabetes duration, and HbA1c values of the semaglutide and DPP-4 inhibitor groups were 65.6 ± 11.1 and 66.7 ± 9.9 years, 13.7 ± 6.0 and 14.4 ± 8.9 years, and 7.6% ± 0.4% and 7.6% ± 0.4%, respectively. The clinical and biochemical characteristics at baseline did not significantly differ between the two groups except for thiazolidine use.

Fig. 2
figure 2

Participant flow during the trial. A total of 58 participants were enrolled, with 30 assigned to switch to oral semaglutide and 28 to continue their current DPP-4 inhibitors. Finally, 24 and 27 participants in the respective groups completed the 24-week study

Table 1 Clinical characteristics of subject at baseline

Effects of semaglutide and DPP-4 inhibitors on oxidative stress and glycemic parameters

Table 2 and Table S1 summarizes the clinical and biochemical characteristics of our patients. Switching to oral semaglutide for 24 weeks significantly decreased d-ROMs from 348.5 ± 73.1 to 305.0 ± 52.4 U.CARR (p = 0.022), FPG from 144.6 ± 27.0 to 129.6 ± 23.9 mg/dL (p = 0.047), and HbA1c values from 7.6 ± 0.4 to 7.1% ± 0.6% (p = 0.003), whereas 24 weeks of continuous treatment with DPP-4 inhibitors did not affect these parameters. There were significant differences in changes in d-ROMs (− 43.5 ± 46.1 vs. − 5.4 ± 49.9 U.CARR, p = 0.007), FPG levels (− 15.0 ± 22.4 vs. 2.7 ± 36.8 mg/dL, p = 0.047), and HbA1c values (− 0.5% ± 0.5% vs. 0.0% ± 0.5%, p = 0.001) between the semaglutide and DPP-4 inhibitor groups. The semaglutide group had a higher rate of achieving HbA1c values below 7.0% compared to the DPP-4 inhibitor group (50.0% vs. 14.8%, p = 0.007).

Table 2 Comparison of clinical and biochemical parameters at baseline and 24 weeks

Figure 3 illustrates the 24-h blood glucose profiles as assessed by the CGM. Switching to oral semaglutide for 24 weeks significantly improved MAGE from 105.4 ± 26.9 to 88.1 ± 26.3 mg/dL (p = 0.029), TAR from 28.3 ± 15.4% to 17.8% ± 17.6% (p = 0.033), and TIR from 70.6 ± 14.5% to 81.0% ± 17.2% (p = 0.028). In addition, semaglutide therapy modestly, but not significantly, improved MGL from 157.1 ± 21.8 to 143,1 ± 26.4 mg/dL (p = 0.051), SD from 40.1 ± 6.9 to 35.8 ± 10.1 mg/dL (p = 0.091) and MODD from 34.0 ± 7.8 to 30.2 ± 9.6 mg/dL (p = 0.140). In contrast, 24 weeks of continuous treatment with DPP-4 inhibitors did not improve MAGE, TAR, and TIR. Switching to oral semaglutide therapy demonstrated significantly better outcomes than continuous DPP-4 inhibitor therapy in terms of changes in various glycemic parameters, such as MGL (− 14.0 ± 21.4 vs. 2.3 ± 18.9 mg/dL, p = 0.006), SD (− 4.3 ± 8.2 vs. 1.8 ± 7.6 mg/dL, p = 0.007), MAGE (− 17.3 ± 4.3 vs. 5.6 ± 22.2 mg/dL, p = 0.001), MODD (− 3.8 ± 6.3 vs. 1.6 ± 7.6 mg/dL, p = 0.008), TAR (− 10.5% ± 15.8% vs. 1.4% ± 15.2%, p = 0.009), TIR (10.4% ± 15.4% vs. − 1.5% ± 15.1%, p = 0.008).

Fig. 3
figure 3

Glucose level over 24 h during treatment with oral semaglutide versus dipeptidyl peptidase 4 inhibitors. Continuous glucose monitoring (CGM) data at baseline a and after 24 weeks of intervention b

Table 3 presents the correlations between changes in d-ROMs and changes in BW and glycemic parameters in the semaglutide group. Univariate analysis revealed that the change in d-ROMs was significantly correlated with the change in MODD (r = 0.485, p = 0.016) and tended to be associated with the change in SD (r = 0.374, p = 0.072).

Table 3 Correlations between the changes in d-ROMs and the changes in body weight and glucose metabolism

Effects of semaglutide and DPP-4 inhibitors on BW, blood pressure, serum lipids, liver, and renal function

During the study periods, there was no significant decrease in BW in either group. However, there was a significant difference in the changes in BW between the two groups. BW loss was significantly larger in the semaglutide group than in the DPP-4 inhibitor group (− 2.3 ± 1.8 vs. − 0.4 ± 1.3 kg, p < 0.001). Blood pressure, serum lipids, and liver and renal function did not change significantly in either group during the study periods, and there were no significant differences in the changes in these parameters between the two groups.

Effects of semaglutide and DPP-4 inhibitors on DTSQ scores

Table 4 summarizes self-reported patient treatment satisfaction evaluated by the DTSQ scores at baseline and 24 weeks after treatment. DTSQ scores were assessed for 40 participants. There was no significant difference in the change in overall DTSQ score between the semaglutide and DPP-4 inhibitor groups at 24 weeks. Among the subscale scores, the change in “perceived frequency of hypoglycemia” from baseline was significantly lower in the DPP-4 inhibitors group (0.8 ± 1.1 vs. − 0.4 ± 1.9, p = 0.020), and the “current treatment” score tended to be higher in the semaglutide group than in the DPP-4 inhibitor group (0.5 ± 0.9 vs. − 0.1 ± 1.0, p = 0.060).

Table 4 Effect of semaglutide and DPP-4 inhibitors on DTSQs

Safety

As shown in Fig. 2 and Table S2, three participants in the semaglutide group discontinued treatment due to gastrointestinal side effects, while no adverse events were observed in the DPP-4 inhibitor group. There were no cases of severe hypoglycemia in either group throughout the study.

Discussion

To the best of our knowledge, this is the first clinical study comparing the effects of oral semaglutide and DPP-4 inhibitors on oxidative stress and glucose variability measured by CGM. The present study demonstrated that switching to oral semaglutide therapy for 24 weeks was more effective than continuous DPP-4 inhibitor therapy in reducing d-ROMs, an oxidative stress marker, and improving glucose variability in patients with T2DM.

In this study, we evaluated oxidative stress levels by measuring d-ROMs. The d-ROMs is a comprehensive evaluation of oxidative stress in the body by measuring the levels of hydroperoxides, which are metabolic products produced when lipids, proteins, amino acids, and nucleic acids are oxidized [41]. About 1.7-fold increase in total mortality, including CVD death for the comparison of top (≥ 368 U.CARR) versus bottom d-ROMs tertile (< 320 U.CARR) was observed in a German cohort [41]. We found here that semagulitide therapy significantly reduced d-ROMs by about 40 U.CARR, which would be clinically relevant for our patients.

We have previously shown that d-ROMs are associated with daily and day-to-day glucose variability in patients with T2DM [42]. In addition, we found that improvement by glucose-lowering therapies in daily glucose variability and day-to-day glucose variability was correlated with reduction of d-ROMs in T2DM [22]. Consistent with our previous findings, Rizzo et al. reported that DPP-4 inhibitors improve glucose variability assessed by CGM, thereby reducing oxidative stress in patients with T2DM [43]. Dulaglutide, a once-weekly injectable GLP-1RA, has also been shown to improve glucose variability [44] and reduce oxidative stress in patients with T2DM [28]. Moreover, a Phase III clinical trial of oral semaglutide demonstrated significant improvement in self-monitored postprandial glucose levels compared to placebo at 26 weeks [38, 45]. These observations suggest that incretin-based therapies, such as injectable GLP-1RAs, DPP-4 inhibitors, and oral semaglutide, could improve glucose variability in patients with T2DM. However, to date, no clinical studies have investigated the effects of oral semaglutide on oxidative stress and glucose variability evaluated by CGM simultaneously, nor have reports compared the differences in changes between oral semaglutide and DPP-4 inhibitors. Our present findings for the first time showed that switching to oral semaglutide from DPP-4 inhibitors significantly reduces d-ROMs, an oxidative stress marker, and improves glucose variability in patients with T2DM. Therefore, the present study indicates that compared to DPP-4 inhibitors, oral semaglutide may more efficiently reduce oxidative stress generation in patients with T2DM, partly through its effect on reducing glucose variability. In the present study, semaglutide therapy decreased percentage coefficient of variation (%CV) of glucose by ca. 1%. It has been reported that a 1% decrease in CV, an index of glycemic variability independent of MGL, is associated with 0.19 unit/year increase in thickened-lesion grey-scale median of carotid arteries, which may correspond to approximately 1.4% risk reduction in CVD [46], thereby having some clinical impact in our patients. However, in this study, there was a significant difference of changes in SD between the semaglutide and DPP-4 inhibitors groups, but the difference in CV changes was only marginally significant (p < 0.1). Switching to semaglutide therapy had a tendency to decrease MGL, while continuous treatment with DPP-4 inhibitors to increase it. Therefore, MGL-lowering effect of semaglutide but not DPP-4 inhibitors may account for the difference. In any case, given that SD or CV was not statistically significantly changed by switching therapy to semaglutide, at this time, no definite conclusion about a causal relationship between semaglutide administration and glucose variability itself can be drawn.

To prevent the development and progression of vascular complications in diabetes, controlling HbA1c values is crucial [13], with a recommended glycemic target of < 7% [32]. The present study demonstrated that switching to oral semaglutide from DPP-4 inhibitors enabled more participants to achieve HbA1c values below 7%. This finding is consistent with the results of PIONEER 3 and Furusawa et al., which showed higher rates of achieving HbA1c levels < 7% with oral semaglutide compared to DPP-4 inhibitors [26, 27]. A meta-analysis by Kim et al. revealed that the HbA1c-lowering effects of injectable GLP-1RAs were more pronounced in Asians and in patients with a body mass index (BMI) of < 30 kg/m2 [47]. Compared to Caucasians, Asian patients with T2DM, including Japanese individuals, typically exhibit lower β-cell function and more insulin resistance for a given BMI [48]. GLP-1RAs have been reported to enhance glucose-stimulated insulin secretion and improve insulin resistance in patients with T2DM via BW loss-dependent and -independent mechanisms [49]. Therefore, although several studies have reported that GLP-1 may be more useful in patients with preserved insulin secretory capacity [50, 51] and that insulin secretory capacity was not evaluated in the present study, more insulin-secreting and BW-reducing property of GLP-1RAs than DPP-4 inhibitors could partly explain the reason why rate of patients who achieved HbA1c values below 7% was higher in the semaglutide group than in the DPP-4 inhibitors group. In our study, the degree of reduction in HbA1c values from baseline was relatively smaller compared to that observed in the PIONEER trials [8, 26, 37, 44]. The difference in HbA1c-lowering effects of oral semaglutide between our study and previous trials [8, 26, 37, 44] may be partly due to the fact that our patients were already receiving treatment with DPP-4 inhibitors and had lower baseline HbA1c values than those in the PIONEER trials. Nevertheless, further clinical research is necessary to investigate whether the glucose-lowering effects of oral semaglutide differ between Asians and Caucasians.

In this study, total DTSQ scores were similar between the semaglutide and DPP-4 inhibitor groups, which is consistent with the findings of PIONEER 7 [52]. However, the DTSQ score for “current treatment” tended to increase in the semaglutide group compared to the DPP-4 inhibitor group, whereas the score for “hypoglycemia” was significantly higher in the semaglutide group than in the DPP-4 inhibitor group. Therefore, future large-scale clinical studies are necessary to confirm these findings. Patients with T2DM should be instructed to take oral semaglutide upon waking up, which may be impractical for some individuals. However, because treatment satisfaction in terms of “convenience” and “flexibility” was comparable between the oral semaglutide and DPP-4 inhibitor groups, this may support the clinical utility of oral semaglutide for T2DM treatment.

DPP-4 inhibitors have a neutral effect on BW, whereas injectable GLP-1RAs have been shown to reduce BW [53]. Our study demonstrated that switching to oral semaglutide was more effective than continuous therapy with DPP-4 inhibitors in reducing BW over 24 weeks. GLP-1RAs reduce BW through various mechanisms; they not only slow gastric emptying but also suppress appetite by promoting satiety and inhibiting hunger via the central nervous system [54, 55]. These mechanisms may contribute to the increased risk of adverse gastrointestinal side effects. A subanalysis of PIONEER 9 and 10 indicated that gastrointestinal symptoms tended to increase with age [56], with all affected patients being over 70 years old and having diabetic neuropathy. In our study, three participants in the semaglutide group discontinued treatment because of gastrointestinal side effects. Identifying patients more susceptible to these effects of oral semaglutide could help improve drug tolerability.

In this study, pioglitazone was used more frequently in the semaglutide group. Pioglitazone has been reported to reduce oxidative stress [57] and cause weight gain [58]. However, it is unlikely that pioglitazone could affect the present results for the following reasons; (1) no significant difference was observed in overall baseline d-ROMs values with or without pioglitazone use (342.6 ± 68.4 vs. 357.8 ± 86.8 U.CARR, p = 0.661) and (2) there were also no significant differences in the effects of semagulitide on d-ROMs or BW between pioglitazone use and non-use group (− 23.2 ± 49.9 vs. − 50.3 ± 44.2 U.CARR, p = 0.271 and − 2.5 ± 1.8 vs. − 2.3 ± 1.8 kg, p = 0.776).

The present study has several limitations. First, the open-label design of the randomized controlled trial may have influenced the findings. Additionally, the process of switching from conventional to novel drugs may have evoked positive psychological reactions, potentially biasing outcomes in favor of the oral semaglutide group. Second, the study period was relatively short (24 weeks); therefore, the long-term effects of oral semaglutide and DPP-4 inhibitors on oxidative stress and glucose variability in patients with T2DM remain to be elucidated. Third, the study only included Japanese patients, limiting the generalizability of the results to other populations. Fourth, Iwamoto et al. [59] reported a dose of oral semaglutide is limited to 3 mg in 20% of total participants after 6 months, but sufficiently reduced HbA1c in actual clinical practice, as the same level as the present result. However, it remains unclear whether the data using 7 mg oral semaglutide in the present study were able to be applied to the use of 3 mg semaglutide.

Conclusions

Switching to oral semaglutide from DPP-4 inhibitors improved oxidative stress and glucose metabolism, including glucose variability, in patients with T2DM. These results indicate that oral semaglutide may be a more effective therapeutic option than DPP-4 inhibitors in patients with T2DM for improving glucose variability, which is one of the risk factors for vascular complications in diabetes.

Availability of data and materials

The datasets generated and/or analyzed during the present study are not publicly available because data sharing was not included in the consent form but are available from the corresponding author upon reasonable request.Data are located in controlled access data storage.

Abbreviations

DPP-4:

Dipeptidyl peptidase 4

CGM:

Continuous glucose monitoring

T2DM:

Type 2 diabetes mellitus

d-ROMs:

Diacron-reactive oxygen metabolites

DTSQ:

Diabetes Treatment Satisfaction Questionnaire

CVD:

Cardiovascular disease

GLP-1RA:

Glucagon-like peptide-1 receptor agonist

HbA1c:

Glycated hemoglobin

BW:

Body weight

FPG:

Fasting plasma glucose

SD:

Standard deviation

MGL:

Mean glucose level

MAGE:

Mean amplitude of glycemic excursions

MODD:

Mean of daily difference of blood glucose

TAR:

Time above range

TIR:

Time in range

BMI:

Body mass index

HDL-C:

High-density lipoprotein cholesterol

LDL-C:

Low-density lipoprotein cholesterol

eGFR:

Estimated glomerular filtration rate

%CV:

Percentage coefficient of variation for glucose

References

  1. Rawshani A, Rawshani A, Franzén S, Eliasson B, Svensson AM, Miftaraj M, et al. Mortality and cardiovascular disease in type 1 and type 2 diabetes. N Engl J Med. 2017;376:1407–18. https://doiorg.publicaciones.saludcastillayleon.es/10.1056/NEJMoa1608664.

    Article  PubMed  Google Scholar 

  2. Marso SP, Bain SC, Consoli A, Eliaschewitz FG, Jódar E, Leiter LA, et al. Semaglutide and cardiovascular outcomes in patients with type 2 diabetes. N Engl J Med. 2016;375:1834–44. https://doiorg.publicaciones.saludcastillayleon.es/10.1056/NEJMoa1607141.

    Article  CAS  PubMed  Google Scholar 

  3. Gerstein HC, Colhoun HM, Dagenais GR, Diaz R, Lakshmanan M, Pais P, et al. Dulaglutide and cardiovascular outcomes in type 2 diabetes (REWIND): a double-blind, randomised placebo-controlled trial. Lancet. 2019;394:121–30. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/S0140-6736(19)31149-3.

    Article  CAS  PubMed  Google Scholar 

  4. Marso SP, Daniels GH, Brown-Frandsen K, Kristensen P, Mann JF, Nauck MA, et al. Liraglutide and cardiovascular outcomes in type 2 diabetes. N Engl J Med. 2016;375:311–22. https://doiorg.publicaciones.saludcastillayleon.es/10.1056/NEJMoa1603827.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Committee ADAPP. Pharmacologic approaches to glycemic treatment: standards of medical care in diabetes-2024. Diabetes Care. 2024;47:S158–78.

    Article  Google Scholar 

  6. Trujillo JM, Nuffer W, Smith BA. GLP-1 receptor agonists: an updated review of head-to-head clinical studies. Ther Adv Endocrinol Metab. 2021;12:2042018821997320. https://doiorg.publicaciones.saludcastillayleon.es/10.1177/2042018821997320.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Pratley R, Amod A, Hoff ST, Kadowaki T, Lingvay I, Nauck M, et al. Oral semaglutide versus subcutaneous liraglutide and placebo in type 2 diabetes (Pioneer 4): a randomised, double-blind, phase 3a trial. N Engl J Med. 2016;375:311–22.

    Google Scholar 

  8. Yabe D, Nakamura J, Kaneto H, Deenadayalan S, Navarria A, Gislum M, et al. Safety and efficacy of oral semaglutide versus dulaglutide in Japanese patients with type 2 diabetes (Pioneer 10): an open-label, randomised, active-controlled, phase 3a trial. Lancet Diabetes Endocrinol. 2020;8:392–406. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/S2213-8587(20)30074-7.

    Article  CAS  PubMed  Google Scholar 

  9. Green JB, Bethel MA, Armstrong PW, Buse JB, Engel SS, Garg J, et al. Effect of sitagliptin on cardiovascular outcomes in type 2 diabetes. N Engl J Med. 2015;373:232–42. https://doiorg.publicaciones.saludcastillayleon.es/10.1056/NEJMoa1501352.

    Article  CAS  PubMed  Google Scholar 

  10. White WB, Cannon CP, Heller SR, Nissen SE, Bergenstal RM, Bakris GL, et al. Alogliptin after acute coronary syndrome in patients with type 2 diabetes. N Engl J Med. 2013;369:1327–35. https://doiorg.publicaciones.saludcastillayleon.es/10.1056/NEJMoa1305889.

    Article  CAS  PubMed  Google Scholar 

  11. Rosenstock J, Perkovic V, Johansen OE, Cooper ME, Kahn SE, Marx N, et al. Effect of linagliptin vs placebo on major cardiovascular events in adults with type 2 diabetes and high cardiovascular and renal risk: the Carmelina randomized clinical trial. JAMA. 2019;321:69–79. https://doiorg.publicaciones.saludcastillayleon.es/10.1001/jama.2018.18269.

    Article  CAS  PubMed  Google Scholar 

  12. Kim YG, Hahn S, Oh TJ, Kwak SH, Park KS, Cho YM. Differences in the glucose-lowering efficacy of dipeptidyl peptidase-4 inhibitors between Asians and non-Asians: a systematic review and meta-analysis. Diabetologia. 2013;56:696–708. https://doiorg.publicaciones.saludcastillayleon.es/10.1007/s00125-012-2827-3.

    Article  CAS  PubMed  Google Scholar 

  13. Stratton IM, Adler AI, Neil HA, Matthews DR, Manley SE, Cull CA, et al. Association of glycaemia with macrovascular and microvascular complications of type 2 diabetes (UKPDS 35): prospective observational study. BMJ. 2000;321:405–12. https://doiorg.publicaciones.saludcastillayleon.es/10.1136/bmj.321.7258.405.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Ueki K, Sasako T, Okazaki Y, Kato M, Okahata S, Katsuyama H, et al. Effect of an intensified multifactorial intervention on cardiovascular outcomes and mortality in type 2 diabetes (J-DOIT3): an open-label, randomised controlled trial. Lancet Diabetes Endocrinol. 2017;5:951–64. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/s2213-8587(17)30327-3.

    Article  PubMed  Google Scholar 

  15. Huang CJ, Wang WT, Sung SH, Chen CH, Lip GYH, Cheng HM, et al. Revisiting “intensive” blood glucose control: a causal directed acyclic graph-guided systematic review of randomized controlled trials. Diabetes Obes Metab. 2022;24:2341–52. https://doiorg.publicaciones.saludcastillayleon.es/10.1111/dom.14819.

    Article  CAS  PubMed  Google Scholar 

  16. Maiorino MI, Longo M, Scappaticcio L, Bellastella G, Chiodini P, Esposito K, et al. Improvement of glycemic control and reduction of major cardiovascular events in 18 cardiovascular outcome trials: an updated meta-regression. Cardiovasc Diabetol. 2021;20:210. https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12933-021-01401-8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Action to Control Cardiovascular Risk in Diabetes Study Group, Gerstein HC, Miller ME, Byington RP, Goff DC Jr, Bigger JT, et al. Effects of intensive glucose lowering in type 2 diabetes. N Engl J Med. 2008;358:2545–59. https://doiorg.publicaciones.saludcastillayleon.es/10.1056/NEJMoa0802743.

    Article  Google Scholar 

  18. ADVANCE Collaborative Group, Patel A, MacMahon S, Chalmers J, Neal B, Billot L, et al. Intensive blood glucose control and vascular outcomes in patients with type 2 diabetes. N Engl J Med. 2008;358:2560–72. https://doiorg.publicaciones.saludcastillayleon.es/10.1056/NEJMoa0802987.

    Article  Google Scholar 

  19. Battelino T, Danne T, Bergenstal RM, Amiel SA, Beck R, Biester T, et al. Clinical targets for continuous glucose monitoring data interpretation: recommendations from the international consensus on time in range. Diabetes Care. 2019;42:1593–603. https://doiorg.publicaciones.saludcastillayleon.es/10.2337/dci19-0028.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Maeda Y, Inoguchi T, Etoh E, Kodama Y, Sasaki S, Sonoda N, et al. Brachial-ankle pulse wave velocity predicts all-cause mortality and cardiovascular events in patients with diabetes: the Kyushu prevention study of Atherosclerosis. Diabetes Care. 2014;37:2383–90. https://doiorg.publicaciones.saludcastillayleon.es/10.2337/dc13-1886.

    Article  CAS  PubMed  Google Scholar 

  21. Wakasugi S, Mita T, Katakami N, Okada Y, Yoshii H, Osonoi T, et al. Associations between continuous glucose monitoring-derived metrics and arterial stiffness in Japanese patients with type 2 diabetes. Cardiovasc Diabetol. 2021;20:15. https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12933-020-01194-2.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Ohara M, Nagaike H, Goto S, Fukase A, Tanabe Y, Tomoyasu M, et al. Improvements of ambient hyperglycemia and glycemic variability are associated with reduction in oxidative stress for patients with type 2 diabetes. Diabetes Res Clin Pract. 2018;139:253–61. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.diabres.2018.02.017.

    Article  CAS  PubMed  Google Scholar 

  23. Ceriello A, Esposito K, Piconi L, Ihnat MA, Thorpe JE, Testa R, et al. Oscillating glucose is more deleterious to endothelial function and oxidative stress than mean glucose in normal and type 2 diabetic patients. Diabetes. 2008;57:1349–54. https://doiorg.publicaciones.saludcastillayleon.es/10.2337/db08-0063.

    Article  CAS  PubMed  Google Scholar 

  24. Su G, Mi S, Tao H, Li Z, Yang H, Zheng H, et al. Association of glycemic variability and the presence and severity of coronary artery disease in patients with type 2 diabetes. Cardiovasc Diabetol. 2011;10:19. https://doiorg.publicaciones.saludcastillayleon.es/10.1186/1475-2840-10-19.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Giugliano D, Ceriello A, Paolisso G. Oxidative stress and diabetic vascular complications. Diabetes Care. 1996;19:257–67. https://doiorg.publicaciones.saludcastillayleon.es/10.2337/diacare.19.3.257.

    Article  CAS  PubMed  Google Scholar 

  26. Rosenstock J, Allison D, Birkenfeld AL, Blicher TM, Deenadayalan S, Jacobsen JB, et al. Effect of additional oral semaglutide vs sitagliptin on glycated hemoglobin in adults with type 2 diabetes uncontrolled with metformin alone or with sulfonylurea: the Pioneer 3 randomized clinical trial. JAMA. 2019;321:1466–80. https://doiorg.publicaciones.saludcastillayleon.es/10.1001/jama.2019.2942.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Furusawa S, Nomoto H, Yokoyama H, Suzuki Y, Tsuzuki A, Takahashi K, et al. Glycaemic control efficacy of switching from dipeptidyl peptidase-4 inhibitors to oral semaglutide in subjects with type 2 diabetes: a multicentre, prospective, randomized, open-label, parallel-group comparison study (SWITCH-SEMA 2 study). Diabetes Obes Metab. 2024;26:961–70. https://doiorg.publicaciones.saludcastillayleon.es/10.1111/dom.15393.

    Article  CAS  PubMed  Google Scholar 

  28. Omachi T, Ohara M, Fujikawa T, Kohata Y, Sugita H, Irie S, et al. Comparison of effects of injectable semaglutide and dulaglutide on oxidative stress and glucose variability in patients with type 2 diabetes mellitus: a prospective preliminary study. Diabetes Ther. 2024;15:111–26. https://doiorg.publicaciones.saludcastillayleon.es/10.1007/s13300-023-01493-3.

    Article  CAS  PubMed  Google Scholar 

  29. Monnier L, Colette C, Wojtusciszyn A, Dejager S, Renard E, Molinari N, et al. Toward defining the threshold between low and high glucose variability in diabetes. Diabetes Care. 2017;40:832–8. https://doiorg.publicaciones.saludcastillayleon.es/10.2337/dc16-1769.

    Article  CAS  PubMed  Google Scholar 

  30. Service FJ, Molnar GD, Rosevear JW, Ackerman E, Gatewood LC, Taylor WF. Mean amplitude of glycemic excursions, a measure of diabetic instability. Diabetes. 1970;19:644–55. https://doiorg.publicaciones.saludcastillayleon.es/10.2337/diab.19.9.644.

    Article  PubMed  Google Scholar 

  31. Molnar GD, Taylor WF, Ho MM. Day-to-day variation of continuously monitored glycaemia: a further measure of diabetic instability. Diabetologia. 1972;8:342–8. https://doiorg.publicaciones.saludcastillayleon.es/10.1007/BF01218495.

    Article  CAS  PubMed  Google Scholar 

  32. American Diabetes Association Professional Practice Committee. 6. Glycemic goals and hypoglycemia: standards of care in Diabetes-2024. Diabetes Care 2024;47(suppl 1):S111–25. https://doiorg.publicaciones.saludcastillayleon.es/10.2337/dc24-S006.

  33. Gerardi G, Usberti M, Martini G, Albertini A, Sugherini L, Pompella A, et al. Plasma total antioxidant capacity in hemodialyzed patients and its relationships to other biomarkers of oxidative stress and lipid peroxidation. Clin Chem Lab Med. 2002;40:104–10. https://doiorg.publicaciones.saludcastillayleon.es/10.1515/CCLM.2002.019.

    Article  CAS  PubMed  Google Scholar 

  34. Cesarone MR, Belcaro G, Carratelli M, Cornelli U, De Sanctis MT, Incandela L, et al. A simple test to monitor oxidative stress. Int Angiol. 1999;18:127–30.

    CAS  PubMed  Google Scholar 

  35. Schnedl WJ, Lahousen T, Wallner SJ, Krause R, Lipp RW. Silent hemoglobin variants and determination of HbA(1c) with the high-resolution program of the HPLC HA-8160 hemoglobin analyzer. Clin Biochem. 2005;38:88–91. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.clinbiochem.2004.09.016.

    Article  CAS  PubMed  Google Scholar 

  36. Bradley C, Lewis KS. Measures of psychological well-being and treatment satisfaction developed from the responses of people with tablet-treated diabetes. Diabet Med. 1990;7:445–51. https://doiorg.publicaciones.saludcastillayleon.es/10.1111/j.1464-5491.1990.tb01421.x.

    Article  CAS  PubMed  Google Scholar 

  37. Bradley C. The diabetes treatment satisfaction questionnaire: DTSQ. In: Handbook of psychology and diabetes: a guide to psychological measurement in diabetes research and practice. London: Harwood Academic Publishers; 1994, p. 111–32.

  38. Yamada Y, Katagiri H, Hamamoto Y, Deenadayalan S, Navarria A, Nishijima K, et al. Dose-response, efficacy, and safety of oral semaglutide monotherapy in Japanese patients with type 2 diabetes (Pioneer 9): a 52-week, phase 2/3a, randomised, controlled trial. Lancet Diabetes Endocrinol. 2020;8:377–91. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/S2213-8587(20)30075-9.

    Article  CAS  PubMed  Google Scholar 

  39. Gantz I, Okamoto T, Ito Y, Okuyama K, O’Neill EA, Kaufman KD, et al. A randomized, placebo- and sitagliptin-controlled trial of the safety and efficacy of omarigliptin, a once-weekly dipeptidyl peptidase-4 inhibitor, in Japanese patients with type 2 diabetes. Diabetes Obes Metab. 2017;19:1602–9. https://doiorg.publicaciones.saludcastillayleon.es/10.1111/dom.12988.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Nagaike H, Ohara M, Kohata Y, Hiromura M, Tomoyasu M, Takada M, et al. Effect of dulaglutide versus liraglutide on glucose variability, oxidative stress, and endothelial function in type 2 diabetes: a prospective study. Diabetes Ther. 2019;10:215–28. https://doiorg.publicaciones.saludcastillayleon.es/10.1007/s13300-018-0560-8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Xuan Y, Gào X, Anusruti A, Holleczek B, Jansen EHJM, Muhlack DC, et al. Association of serum markers of oxidative stress with incident major cardiovascular events, cancer incidence, and all-cause mortality in type 2 diabetes patients: pooled results from two cohort studies. Diabetes Care. 2019;42:1436–45. https://doiorg.publicaciones.saludcastillayleon.es/10.2337/dc19-0292.

    Article  CAS  PubMed  Google Scholar 

  42. Ohara M, Fukui T, Ouchi M, Watanabe K, Suzuki T, Yamamoto S, et al. Relationship between daily and day-to-day glycemic variability and increased oxidative stress in type 2 diabetes. Diabetes Res Clin Pract. 2016;122:62–70. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.diabres.2016.09.025.

    Article  CAS  PubMed  Google Scholar 

  43. Rizzo MR, Barbieri M, Marfella R, Paolisso G. Reduction of oxidative stress and inflammation by blunting daily acute glucose fluctuations in patients with type 2 diabetes: role of dipeptidyl peptidase-IV inhibition. Diabetes Care. 2012;35:2076–82. https://doiorg.publicaciones.saludcastillayleon.es/10.2337/dc12-0199.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  44. Inoue M, Shiramoto M, Oura T, Nasu R, Nakano M, Takeuchi M. Effect of once-weekly dulaglutide on glucose levels in Japanese patients with type 2 diabetes: findings from a phase 4, randomized controlled trial. Diabetes Ther. 2019;10:1019–27. https://doiorg.publicaciones.saludcastillayleon.es/10.1007/s13300-019-0605-7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  45. Zinman B, Aroda VR, Buse JB, Cariou B, Harris SB, Hoff ST, et al. Efficacy, safety, and tolerability of oral semaglutide versus placebo added to insulin with or without metformin in patients with type 2 diabetes: the Pioneer 8 trial. Diabetes Care. 2019;42:2262–71. https://doiorg.publicaciones.saludcastillayleon.es/10.2337/dc19-0898.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. Mita T, Katakami N, Okada Y, Yoshii H, Osonoi T, Nishida K, et al. Continuous glucose monitoring-derived time in range and CV are associated with altered tissue characteristics of the carotid artery wall in people with type 2 diabetes. Diabetologia. 2023;66:2356–67. https://doiorg.publicaciones.saludcastillayleon.es/10.1007/s00125-023-06013-3.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. Kim YG, Hahn S, Oh TJ, Park KS, Cho YM. Differences in the HbA1c-lowering efficacy of glucagon-like peptide-1 analogues between Asians and non-Asians: a systematic review and meta-analysis. Diabetes Obes Metab. 2014;16:900–9. https://doiorg.publicaciones.saludcastillayleon.es/10.1111/dom.12293.

    Article  CAS  PubMed  Google Scholar 

  48. Yabe D, Seino Y, Fukushima M, Seino S. β cell dysfunction versus insulin resistance in the pathogenesis of type 2 diabetes in East Asians. Curr Diab Rep. 2015;15:602. https://doiorg.publicaciones.saludcastillayleon.es/10.1007/s11892-015-0602-9.

    Article  CAS  PubMed  Google Scholar 

  49. Mashayekhi M, Nian H, Mayfield D, Devin JK, Gamboa JL, Yu C, et al. Weight loss-independent effect of liraglutide on insulin sensitivity in individuals with obesity and prediabetes. Diabetes. 2024;73:38–50. https://doiorg.publicaciones.saludcastillayleon.es/10.2337/db23-0356.

    Article  CAS  PubMed  Google Scholar 

  50. Ohbatake A, Yagi K, Karashima S, Shima Y, Miyamoto Y, Asaka H, et al. C-Peptide area under the curve at glucagon stimulation test predicts glucose improvements by GLP-1 receptor analogue: a retrospective observational study. Diabetes Ther. 2019;10:673–81. https://doiorg.publicaciones.saludcastillayleon.es/10.1007/s13300-019-0586-6.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  51. Kozawa J, Inoue K, Iwamoto R, Kurashiki Y, Okauchi Y, Kashine S, et al. Liraglutide is effective in type 2 diabetic patients with sustained endogenous insulin-secreting capacity. J Diabetes Investig. 2012;3:294–7. https://doiorg.publicaciones.saludcastillayleon.es/10.1111/j.2040-1124.2011.00168.x.

    Article  CAS  PubMed  Google Scholar 

  52. Pieber TR, Bode B, Mertens A, Cho YM, Christiansen E, Hertz CL, et al. Efficacy and safety of oral semaglutide with flexible dose adjustment versus sitagliptin in type 2 diabetes (Pioneer 7): a multicentre, open-label, randomised, phase 3a trial. Lancet Diabetes Endocrinol. 2019;7:528–39. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/S2213-8587(19)30194-9.

    Article  CAS  PubMed  Google Scholar 

  53. Tran S, Retnakaran R, Zinman B, Kramer CK. Efficacy of glucagon-like peptide-1 receptor agonists compared to dipeptidyl peptidase-4 inhibitors for the management of type 2 diabetes: a meta-analysis of randomized clinical trials. Diabetes Obes Metab. 2018;20(suppl 1):68–76. https://doiorg.publicaciones.saludcastillayleon.es/10.1111/dom.13137.

    Article  CAS  PubMed  Google Scholar 

  54. Van Bloemendaal L, IJzerman RG, Ten Kulve JS, Barkhof F, Konrad RJ, Drent ML, et al. 2014 GLP-1 receptor activation modulates appetite- and reward-related brain areas in humans. Diabetes.63:4186–96. https://doiorg.publicaciones.saludcastillayleon.es/10.2337/db14-0849.

  55. Willms B, Werner J, Holst JJ, Orskov C, Creutzfeldt W, Nauck MA. Gastric emptying, glucose responses, and insulin secretion after a liquid test meal: effects of exogenous glucagon-like peptide-1 (GLP-1)-(7–36) amide in type 2 (noninsulin-dependent) diabetic patients. J Clin Endocrinol Metab. 1996;81:327–32. https://doiorg.publicaciones.saludcastillayleon.es/10.1210/jcem.81.1.8550773.

    Article  CAS  PubMed  Google Scholar 

  56. Yamada Y, Yabe D, Hertz CL, Horio H, Nakamura J, Nielsen AM, et al. Efficacy and safety of oral semaglutide by baseline age in Japanese patients with type 2 diabetes: a subgroup analysis of the Pioneer 9 and 10 Japan trials. Diabetes Obes Metab. 2022;24:321–6. https://doiorg.publicaciones.saludcastillayleon.es/10.1111/dom.14571.

    Article  CAS  PubMed  Google Scholar 

  57. Wang Y, Ye S, Hu Y, Zhao L, Zheng M. The effect of hydrochloride pioglitazone on urinary 8-hydroxy-deoxyguanosine excretion in type 2 diabetics. J Diabetes Complications. 2013;27:75–7. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.jdiacomp.2012.08.004.

    Article  PubMed  Google Scholar 

  58. Yki-Järvinen H. Thiazolidinediones. N Engl J Med. 2004;351:1106–18. https://doiorg.publicaciones.saludcastillayleon.es/10.1056/nejmra041001.

    Article  PubMed  Google Scholar 

  59. Iwamoto H, Kimura T, Fushimi Y, Iwamoto M, Tatsumi F, Sanada J, et al. Effectiveness of switching from dipeptidyl peptidase-4 inhibitor to oral glucagon-like peptide-1 receptor agonist in Japanese participants with type 2 diabetes mellitus: prospective observational study using propensity score matching. Diabetes Obes Metab. 2024;26:4366–74. https://doiorg.publicaciones.saludcastillayleon.es/10.1111/dom.15784.

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

We would like to thank all study participants. We would also like to thank Ms. Tomomi Saito at Showa University; Ms. Yasue Moroto and Ms. Rie Tomaru at Showa University Hospital; Ms. Mari Fujinami, Ms. Sachie Terakado, Ms. Tomoko Yamada, Ms. Yukari Otani, and Ms. Ayu Koketsu at Tokatsu Hospital; Ms. Risa Sasajima, Ms. Sanae Watanabe, and Mr. Hirotoshi Chiba at Jiyugaoka Medical Clinic; and Ms. Rie Sasaki at Seino Internal Medicine Clinic for their assistance. We would like to thank Enago (http://www.enago.jp) for the English-language review of this article.

Funding

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Author information

Authors and Affiliations

Authors

Contributions

MO contributed to study design, data acquisition, and data analysis and wrote the manuscript. HY, HS, YM, TF, and SY reviewed and edited the manuscript for intellectual content. MO and SY drafted the manuscript. MO, HY, HS, TF, YK, TO, MI, NT, SI, MT, YM, TF, and SY interpreted data and critically revised and wrote the manuscript. All authors have read and approved the final version of the manuscript.

Corresponding author

Correspondence to Makoto Ohara.

Ethics declarations

Ethics approval and consent to participate

The study protocol was approved by the Ethics Committee of Showa University and adhered to the principles of the Declaration of Helsinki and current legal regulations in Japan. After thoroughly explaining the study protocol, written informed consent was obtained from all participants.

Consent for publication

Not applicable.

Competing interests

MO has received lecture fees from Eli Lilly Japan K.K. HS has received lecture fees from Astellas Pharma Inc., Novartis Pharmaceuticals Co., Novo Nordisk Pharma Ltd., Eli Lilly Japan K.K., MSD K.K., and Sanofi K.K. as well as received research funds from Novo Nordisk Pharma Ltd., Mitsubishi Tanabe Pharma Co., Nippon Boehringer Ingelheim Co., YL Biologics Ltd., and Sanofi K.K. YM holds an endowed chair funded by Ono Pharmaceutical Co., Ltd. and Nippon Boehringer Ingelheim Co., Ltd. SY has received lecture fees from Eli Lilly Japan K.K., Bayer Yakuhin, Ltd., Sanofi K.K., and Novo Nordisk Pharma, Japan.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ohara, M., Yokoyama, H., Seino, H. et al. Effects of switching from dipeptidyl peptidase 4 inhibitors to oral semaglutide on oxidative stress and glycemic variability in patients with type 2 diabetes: an open-label, prospective, randomized, multicenter, parallel-group comparison study. Diabetol Metab Syndr 17, 126 (2025). https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s13098-025-01691-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s13098-025-01691-y

Keywords