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. 2017 Mar 21;7:44865. doi: 10.1038/srep44865

Effects of dipeptidyl peptidase-4 inhibitors on beta-cell function and insulin resistance in type 2 diabetes: meta-analysis of randomized controlled trials

Xiafei Lyu 1,2, Xiaolin Zhu 3, Bin Zhao 3, Liang Du 4, Dawei Chen 1,5, Chun Wang 1,5, Guanjian Liu 4, Xingwu Ran 1,5,a
PMCID: PMC5359588  PMID: 28322294

Abstract

Dipeptidyl peptidase-4 (DPP-4) inhibitors are a novel family of glucose-lowering agents. Accumulating evidence suggests that DPP-4 inhibitors preserve pancreatic beta-cell function, but results in previous studies have been inconsistent. We assessed the effects of DPP-4 inhibitors on the homoeostasis model assessment beta-cell function (HOMA-B) or insulin resistance (HOMA-IR) index in patients with type 2 diabetes through a systematic review and meta-analysis of randomized controlled trials (RCTs). Relevant articles were identified from PubMed, Embase, and Cochrane Library databases up to December 27, 2016. We calculated weighted mean differences (WMDs) and 95% confidence intervals (CIs) in each included trial and pooled the data using a random-effects model. Fifty-two trials were included in the present analysis. Compared with placebo control, DPP-4 inhibitors as monotherapy significantly improved HOMA-B (WMD 9.15; 95% CI 7.48, 10.81). Similarly, DPP-4 inhibitors as add-on therapy in combination with other drugs showed significant improvement in HOMA-B (WMD 9.04; 95% CI 5.72, 12.37). However, we found no significant improvement in HOMA-IR following treatment with DPP-4 inhibitors as mono-therapy or as add-on therapy. In conclusion, DPP-4 inhibitors as monotherapy or as add-on therapy significantly improved beta-cell function but had no significant effect on insulin resistance in type 2 diabetes.

Type 2 diabetes mellitus (T2DM) is characterized by a progressive decline in beta-cell function with insulin resistance1,2,3. Beta-cell dysfunction and insulin resistance are the central mechanisms in the pathogenesis of T2DM. As a surrogate marker for measuring beta-cell function and insulin sensitivity, the homoeostasis model assessment (HOMA) indexes, which are based on fasting glucose and insulin levels, have been widely used for decades in clinical and epidemiological research4,5. The validity of HOMA indexes have been confirmed against the hyperglycemic and euglycemic clamps and the intravenous glucose tolerance test4. Recently, the Whitehall II study has shown that beta-cell function and insulin sensitivity as measured by HOMA beta-cell function (HOMA-B) and HOMA insulin resistance (HOMA-IR) may undergo significant reduction several years before the diagnosis of T2DM6. The UK Prospective Diabetes Study (UKPDS) has demonstrated that HOMA-B continues to deteriorate in association with progressively increasing hyperglycemia despite treatment7. These data highlight the importance of preserving beta-cell function and insulin sensitivity in the prevention and management of T2DM.

Dipeptidyl peptidase-4 (DPP-4) inhibitors are a novel family of glucose-lowering agents that are increasingly used in clinical practice in treating T2DM patients. DPP-4 is responsible for the degradation of incretin hormones such as glucagon-like peptide 1 (GLP-1)8. Inhibition of DPP-4 reduces glycemia, sustains insulin levels, and reduces glucagon levels in T2DM patients9. DPP-4 inhibitors have many favorable features including a low risk of hypoglycemia and a neutral effect on body weight8. In addition, they are efficacious and well tolerated as mono-therapy and also as add-on therapy in combination with commonly prescribed anti-diabetic agents and are suitable for once-daily oral dosing8,10. As a result, the American Diabetes Association and the European Association for the Study of Diabetes recommend DPP-4 inhibitors as part of a combination therapy with metformin and/or other agents or as a preferable monotherapy choice for patients in whom metformin is contraindicated or not tolerated11,12.

The underlying mechanisms of DPP-4 inhibitors in the management of T2DM remain to be understood, and the roles of DPP-4 inhibitors on beta-cell function and insulin sensitivity are of particular interest. Experimental data show that DPP-4 inhibitors may help preserve pancreatic beta-cell function13,14. However, results from previous studies in humans have been inconsistent, partly because of the limited sample size and insufficient statistical power in some individual studies. In this study, we aimed to systematically review the available evidence and quantitatively summarize the findings by performing a meta-analysis of randomized controlled trials (RCTs).

Material and Methods

This study was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement15.

Study selection

Articles were eligible for inclusion if they fulfilled all the following criteria: (i) they were RCTs; (ii) the participants were patients with T2DM; (iii) they compared a DPP-4 inhibitor as monotherapy or add-on therapy with an appropriate control; (iv) they provided information on HOMA-estimated beta-cell function or insulin resistance; (v) the study duration was no less than 12 weeks; and (vi) the results were published in peer-reviewed journal as a full paper. We excluded the following types of articles: review articles or editorials, non-human studies (i.e., cell culture or animal studies), studies that did not include DPP-4 inhibitor treatment in the intervention group, and studies that did not evaluate beta-cell function or insulin resistance. Disagreement about eligibility was resolved by consensus between all authors.

Literature search

We performed a comprehensive literature search in the PubMed, EMBASE, and Cochrane Library databases. The last search update was conducted on up to December 27, 2016. In terms of the database search strategy, we used a combination of free text (e.g., type 2 diabetes) and subheadings from MeSH (e.g., “Diabetes Mellitus, Type 2” [Mesh]) or EMTREE terms (e.g., ‘non insulin dependent diabetes mellitus’/exp). In addition to using the generic term for DPP-4 inhibitors, we also specifically named each major DPP-4 inhibitor (e.g., Sitagliptin, Vildagliptin, Saxagliptin, Linagliptin, Anagliptin, Teneligliptin, Alogliptin, Gemigliptin, and Dutogliptin) when conducting the literature search. More detailed search terms are listed in the Supplementary Materials. The reference lists of relevant studies and review articles were also checked to identify additional relevant studies.

Data extraction

The following data were extracted from each eligible article: the first author’s name, year of publication, sample size, participants’ age, T2DM duration, types of DPP-4 inhibitors tested, study duration, mean baseline HbA1c, and mean and standard deviation of HOMA indexes in the comparison groups. When necessary, we contacted the corresponding authors of the original articles by email to request relevant data or information. If multiple articles were published using data from the same study, we extracted the report with the information most relevant to the analysis. If the same trial reported data at different follow-up durations16,17,18, we extracted the data corresponding to the longest follow-up period18. If a study reported results on the effects of DPP-4 inhibitors at different doses, we extracted data corresponding to the standard dosages for each DPP-4 inhibitor (e.g., sitagliptin 100 mg/day; saxagliptin 5 mg/day; vildagliptin 100 mg/day; linagliptin 5 mg/day; teneligliptin 20 mg/day; and alogliptin 25 mg/day) unless otherwise specified.

Quality assessment of the included RCTs

Assessment of risk of bias in the included RCTs was performed according to the Cochrane Collaboration’s tool19, which includes the following domains: random sequence generation, allocation concealment, blinding of participants and personnel, blinding of outcome assessment, incomplete outcome data, selective reporting, and other bias. The risk of bias in each domain was assessed as low, high, or unclear.

Data synthesis and statistical analysis

We calculated weighted mean differences (WMDs) and 95% confidence intervals (CIs) for the change in HOMA indexes from baseline to the end of the trial for DPP-4 inhibitors versus controls reported in each of the included trials and pooled the data in the meta-analysis using a random-effects model20. If both adjusted (typically derived from analysis of covariance) and unadjusted changes from baseline were reported in a trial, we selected the adjusted estimates as they accounted for possible baseline imbalance and the correlation between baseline and follow-up measures. When the adjusted estimates were not available, we limited meta-analyses to those trials with baseline balance in HOMA indexes21. When standard deviations of the change from baseline were not reported in the article, we converted standard errors or 95% CIs to standard deviations.

We used forest plots to visualize the effect sizes in each individual study and the pooled overall effect size. We assessed between-study heterogeneity using the χ2-based Cochrane’s Q statistic and the I2 metric (I2 values of 25%, 50%, and 75% were considered to indicate low, medium, and high heterogeneity, respectively)22. Potential of publication bias is assessed by funnel plots, in which asymmetrical plot indicates presence of reporting bias. To explore the possible differences in the effectiveness of individual DPP-4 inhibitors on beta-cell function and insulin sensitivity, we performed stratification analysis according to the type of DPP-4 inhibitor tested. Sensitivity analyses were performed by omitting one study at a time and computing the pooled effect size of the remaining studies to evaluate whether the results were affected markedly by a single study. All statistical analyses were performed using Stata software version 11.0 (Stata Corp, College Station, TX, USA).

Results

Characteristics of the included studies

We identified 589 potentially relevant articles from database search and other resources. After screening, 278 articles were evaluated in detail and 52 articles presenting RCTs16,18,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72 were finally included in the meta-analysis (Fig. 1). Of them, 23 articles reported data from trials using DPP-4 inhibitors as monotherapy, 28 articles from trials using DPP-4 inhibitors as adds-on therapy, and the other one article involving mixed study design using DPP-4 inhibitors as both monotherapy and adds-on therapy.

Figure 1. Flow chart of literature search and study selection.

Figure 1

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The baseline characteristics of the included RCTs in the meta-analysis are shown in Table 1. The majority of studies were conducted in Caucasian or Asian populations. Sitagliptin was the most investigated drug among DPP-4 inhibitors as monotherapy and add-on therapy in the included studies. Most of the included RCTs had a relatively short study duration (typically 12 or 24 weeks). The risk of bias varied across the individual trials. All the included trials, except one56, involved appropriate double blind procedures, and none were associated with concerns about selective outcome reporting. However, in some of the included trials, HOMA-IR or HOMA-B data were missing for more than 20% of the participants, because these indicators were not the primary outcome and therefore were not assessed all participants. In addition, information regarding random generation sequence, allocation concealment, and blinding of outcome assessment was not clearly described in most trials (Supplementary Table 1).

Table 1. Characteristics of the RCTs included in the meta-analysis.

Author, year Study design Intervention Control No. of subjects (Int/Ctrl) Mean age (years) Mean BMI (kg/m2) Mean T2DM duration (years) Mean baseline HbA1c Study duration (weeks)
Ristic et al.23 Monotherapy Vildagliptin 100 mg Placebo 53/58 55.0 31.4 2.7 7.7 12
Aschner et al.24 Monotherapy Sitagliptin 100 mg Placebo 238/253 54.0 30.5 4.5 8.0 24
Charbonnel et al.25 Add-ons Sitagliptin 100 mg + Metformin Placebo + Metformin 464/237 54.5 31.0 6.3 8.0 24
Pratley et al.26 Monotherapy Vildagliptin 50 mg Placebo 70/28 54.0 30.0 4.0 8.1 12
Raz et al.27 Monotherapy Sitagliptin 100 mg Placebo 205/110 55.5 32.0 4.6 8.0 18
Rosenstock et al.28 Add-ons Sitagliptin 100 mg + Pioglitazone Placebo + Pioglitazone 175/178 56.0 31.5 6.1 8.0 24
Goldstein et al.16 Monotherapy Sitagliptin 100 mg Placebo 179/176 53.4 32.0 4.5 8.8 24
Hanefeld et al.29 Monotherapy Sitagliptin 100 mg Placebo 110/111 56.0 31.5 3.5 7.7 12
Hermansen et al.30 Add-ons Sitagliptin 100 mg + Glimepiride ± Metformin Placebo + Glimepiride ± Metformin 222/219 55.0 31.0 8.8 8.3 24
Scott et al.31 Monotherapy Sitagliptin 100 mg Placebo 124/125 55.2 31.0 4.5 9.5 12
DeFronzo et al.32 Monotherapy Alogliptin 25 mg Placebo 131/64 53.4 NR NR 7.9 26
Nonaka et al.33 Monotherapy Sitagliptin 100 mg Placebo 75/76 55.3 25.0 4.0 7.6 12
Pratley et al.34 Monotherapy Vildagliptin 100 mg Placebo 1470/182 53.0 32.3 2.2 8.5 24
Raz et al.35 Add-ons Sitagliptin 100 mg + Metformin Metformin 96/94 54.0 30.3 7.8 9.2 18
Rosenstock et al.36 Monotherapy Saxagliptin 5 mg Placebo 106/95 54.0 31.0 2.4 8.0 12
Scott et al.37 Add-ons Sitagliptin 100 mg + Metformin Metformin 94/92 55.3 30.0 5.2 7.8 18
Chacra et al.38 Add-ons Saxagliptin 5 mg + Glyburide Placebo + Glyburide 253/267 55.0 29.0 6.8 8.4 24
DeFronzo et al.39 Add-ons Saxagliptin 5 mg + Metformin Metformin 191/179 54.8 31.4 6.5 8.1 24
Hollander et al.40 Add-ons Saxagliptin 5 mg + Thiazolidinediones Thiazolidinediones 186/184 53.6 30.0 5.2 8.3 24
Mohan et al.41 Monotherapy Sitagliptin 100 mg Placebo 352/178 50.0 25.0 2.0 8.8 18
Rosenstock et al.42 Monotherapy Saxagliptin 5 mg Placebo 106/95 54.0 31.0 2.4 8.0 24
Forst et al.43 Add-ons Linagliptin 5 mg + Metformin Metformin 66/71 60.0 32.0 6.8 8.5 12
Rhee et al.44 Monotherapy Gemigliptin 50 mg Placebo 35/34 52.0 25.3 4.4 8.2 12
Williams-Herman et al.18 Add-ons Sitagliptin 100 mg + Metformin Metformin 107/88 54.0 31.5 4.2 8.7 104
Bosi et al.45 Add-ons Alogliptin 25 mg + Metformin + Pioglitazone Metformin + Pioglitazone 404/399 55.0 31.5 7.0 8.1 52
Del Prato et al.46 Monotherapy Linagliptin 5 mg Placebo 336/167 55.0 29.1 NR 8.0 24
Gomis et al.47 Add-ons Linagliptin 5 mg + Pioglitazone Pioglitazone 259/130 57.4 29.0 NR 8.6 24
Kaku et al.48 Add-ons Alogliptin 25 mg + Pioglitazone Placebo + Pioglitazone 113/115 60.0 26.3 6.8 7.9 12
Owens et al.49 Add-ons Linagliptin 5 mg + Metformin + Sulphonylurea Placebo + Metformin + Sulphonylurea 541/175 58.0 28.0 NR 8.1 24
Reasner et al.50 Add-ons Sitagliptin 100 mg + Metformin Metformin 625/621 50.0 33.0 3.4 9.9 18
Seino et al.51 Add-ons Alogliptin 25 mg + Voglibose Voglibose 79/75 62.5 24.0 8.0 8.0 12
Seino et al.52 Monotherapy Alogliptin 25 mg Placebo 80/75 59.3 24.5 6.9 7.9 12
Taskinen et al.53 Add-ons Linagliptin 5 mg + Metformin Metformin 523/177 56.6 30.0 NR 8.1 24
Yoon et al.54 Add-ons Sitagliptin 100 mg + Pioglitazone Pioglitazone 261/259 51.0 29.7 2.4 9.5 24
Kawamori et al.55 Monotherapy Linagliptin 5 mg Placebo 159/80 60.0 24.5 NR 8.0 12
Kutoh et al.56 Monotherapy Alogliptin 25 mg Diet 25/26 48.0 26.3 0 10.3 12
Pan et al.57 Monotherapy Saxagliptin 5 mg Placebo 284/284 51.4 25.9 1.0 8.1 24
Seino et al.58 Add-ons Alogliptin 25 mg + Metformin Metformin 96/100 52.2 25.0 6.3 8.0 12
Dobs et al.59 Add-ons Sitagliptin 100 mg + Metformin + rosiglitazone Metformin + rosiglitazone 170/92 54.6 30.5 9.3 8.8 54
Kadowaki et al.60 Monotherapy Teneligliptin 20 mg Placebo 79/80 58.8 25.1 6.0 7.9 12
Zeng et al.61 Add-ons Linagliptin 5 mg + Metformin + Sulphonylurea Placebo + Metformin + Sulphonylurea 144/48 56.0 25.8 NR 8.1 12
Heise et al.62 Mixed Linagliptin 5 mg + Various antidiabetic medications Placebo + Various antidiabetic medications 1905/796 57.0 29.3 NR 8.2 24
Yokoyama et al.63 Add-ons Sitagliptin 100 mg + Sulfonylureas Liraglutide + Sulfonylureas 49/50 61.3 25.9 11.3 7.8 24
Fukui et al.64 Monotherapy Sitagliptin 50 mg Sulfonylureas 21/22 66.3 26.3 7.5 7.3 24
Jung et al.65 Monotherapy Evogliptin (DA1229) 5 mg Placebo 43/48 54.3 25.5 3.7 7.6 12
Leibowitz et al.66 Add-ons Saxagliptin 5 mg + Various antidiabetic medications Placebo + Various antidiabetic medications 2408/2312 65.2 31.1 8.3 7.5 151
Strozik et al.67 Add-ons Vildagliptin 100 mg + Metformin Metformin 17/16 55.0 32.0 NR 8.1 12
Yokoh et al.68 Monotherapy Sitagliptin 50 mg Alpha-glucosidase inhibitor 58/58 58.5 26.1 6.8 7.6 24
Zografou et al.69 Add-ons Vildagliptin 50 mg + Metformin Metformin 32/32 54.4 31.9 NR 8.1 24
Ba et al.70 Add-ons Sitagliptin 100 mg + Sulfonylureas ± Metformin Placebo + Sulfonylureas ± Metformin 249/249 56.0 25.4 7.0 8.5 24
Ekholm et al.71 Add-ons Saxagliptin 5 mg + Dapagliflozin + Metformin Placebo + Dapagliflozin + Metformin 160/152 54.0 32 7.3 8.9 24
Oyama et al.72 Add-ons Sitagliptin 25–100 mg + Conventional therapy Conventional therapy 222/220 69.3 25.1 NR 7.0 24
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Abbreviations: Int, intervention group; Ctrl, control group; BMI, body mass index; T2DM, type 2 diabetes mellitus; HbA1c, hemoglobin A1c; NR, not reported.

Effects of DPP-4 inhibitors as monotherapy on beta-cell function and insulin resistance

Our meta-analysis of 23 RCTs showed that DPP-4 inhibitors as monotherapy significantly improved beta-cell function (Fig. 2). The pooled WMD (95% CI) for the HOMA-B was 9.15 (7.48, 10.81). We observed no evidence for significant heterogeneity (I2 = 4%, P = 0.41). For insulin resistance, we found no significant improvement after treatment with DPP-4 inhibitors as monotherapy (Fig. 3). Sensitivity analyses conducted by omitting one study at a time did not show significant alteration of the results.

Figure 2. Effects of DPP-4 inhibitors as monotherapy (DPP-4 inhibitors versus placebo) on beta-cell function.

Figure 2

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WMD, weighted mean difference; CI, confidence interval.

Figure 3. Effects of DPP-4 inhibitors (monotherapy versus placebo) on insulin resistance.

Figure 3

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WMD, weighted mean difference; CI, confidence interval.

Effects of DPP-4 inhibitors as add-on therapy on beta-cell function and insulin resistance

In a meta-analysis of 28 RCTs, we found that treatment with DPP-4 inhibitors as add-on therapy in combination with other drugs significantly improved beta-cell function (Fig. 4). The pooled WMD (95% CI) for the HOMA-B was 9.04 (5.72, 12.37). There was evidence for significant heterogeneity (I2 = 89%, P < 0.001). Similar to the findings for DPP-4 inhibitor monotherapy, we found no significant improvement in insulin resistance after treatment with DPP-4 inhibitors as monotherapy (Fig. 5). Sensitivity analyses conducted by omitting one study at a time did not show significant alteration of the results.

Figure 4. Effects of DPP-4 inhibitors as add-on therapy (DPP-4 inhibitors + other drugs versus placebo + the same other drugs) on beta-cell function.

Figure 4

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WMD, weighted mean difference; CI, confidence interval.

Figure 5. Effects of DPP-4 inhibitors as add-on therapy (DPP-4 inhibitors + other drugs versus placebo + the same other drugs) on insulin resistance.

Figure 5

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WMD, weighted mean difference; CI, confidence interval.

Publication bias

In the funnel plots, we observed evidence of publication bias (i.e., asymmetrical plots) in the meta-analysis of DPP-4 inhibitors as either monotherapy (Supplementary Figures 1 and 2) or add-on therapy (Supplementary Figures 3 and 4) on beta-cell function and insulin resistance. However, these results should be interpreted with caution, because asymmetrical plots may also be a result of other reasons, such as small study effects, rather than publication bias.

Comparative effects of individual DPP-4 inhibitors as monotherapy

In stratification analyses according to the types of DPP-4 inhibitors, we pooled data for each DPP-4 inhibitor. We found that treatment with all types of DDP-4 inhibitors except for linagliptin resulted in an increase in HOMA-B (Supplementary Figure 5). In the meta-analysis of the effects of individual DPP-4 inhibitors on insulin resistance (Supplementary Figure 6), we observed a significant improvement in insulin resistance with sitagliptin treatment without evidence of significant heterogeneity (WMD −0.38; 95% CI −0.69, −0.08; I2 = 0%, P for heterogeneity = 0.58). Linagliptin seemed to have a trend to increase insulin resistance, but the results should be interpreted cautiously due to the limited number of available studies. We found no significant effects of other DPP-4 inhibitors on insulin resistance.

Discussion

Our meta-analysis of data from 52 RCTs showed that DPP-4 inhibitors as monotherapy or as add-on therapy significantly improved beta-cell function as measured by the HOMA-B. However, there was no significant improvement in insulin resistance with the use of DPP-4 inhibitors as monotherapy or as add-on therapy in combination with other drugs. Consistent with the results of previous meta-analyses73,74, these findings provide important insight into the pathophysiological mechanisms of DPP-4 inhibitor action in the treatment of T2DM.

Our results regarding the effects of DPP-4 inhibitor treatment on beta-cell function were largely consistent with results from the largest trials using DPP-4 inhibitors as monotherapy75, adds-on therapy66, or mixed trial design involving multiple trials62. In the trial by Pratley et al.75, vildagliptin monotherapy yielded consistently robust improvement in beta-cell function, measured not only by HOMA-B based on fasting glucose and insulin but also by meal test-derived measures, across a broad spectrum of drug-naive patients with T2DM. In addition, our findings were consistent with those of other studies that measured dynamic beta-cell function after meal ingestion. For instance, in a meal tolerance test performed with a double tracer technique (3-(3)H-glucose iv and 1-(14)C-glucose orally), the DPP-4 inhibitor vildagliptin significantly increased the insulin secretion rate divided by plasma glucose by 29% in T2DM patients76. When added to metformin therapy in patients with T2DM, vildagliptin treatment resulted in a significant increase in insulin secretion (postmeal suprabasal area under the 0- to 30-min C-peptide curve divided by the 30-min increase in glucose)77.

The favorable effects of DPP-4 inhibitors for improving beta-cell function among patients with T2DM are biologically plausible78. DPP-4 inhibitor treatment in diabetic animal models stimulated beta-cell survival, facilitated islet neogenesis, enhanced insulin biosynthesis79, and preserved beta-cell mass and function13. Moreover, DPP-4 gene knockout mice showed better insulin sensitivity and less pancreatic islet hypertrophy and were resistant to streptozotocin-induced loss of beta-cell mass and hyperglycemia80. In humans with T2DM, DPP-4 inhibitors have demonstrated improvement of beta-cell function both in the fasting and postprandial statuses, and these beneficial effects were sustained in studies with a duration up to 2 years78. DPP-4 inhibitors may restore beta-cell function and survival in isolated human islets through glucagon-like peptide (GLP)-1 stabilization81. In addition, DPP-4 inhibitors also exert an anti-inflammatory effect82,83, which may alleviate the loss of beta-cell function84. Recently, it is reported that DPP-4 inhibitors may protect pancreatic beta-cells by elongating the telomere length85. However, there is a lack of evidence in humans to demonstrate the durable effects of DPP-4 inhibitors on beta-cell function after cessation of therapy in patients with T2DM, which warrants further investigation in long-term, well-designed trials with a sufficiently long washout period after discontinuation of the study drug78.

In general, DPP-4 inhibitors showed no effects on insulin resistance. While the underlying mechanisms remain to be elucidated, this finding may be at least partly due to the neutral effects of DPP-4 inhibitors on body weight8. Interestingly, our meta-analysis showed that sitagliptin, but not the other tested DPP-4 inhibitors, as monotherapy resulted in significant improvement in insulin resistance. This finding needs to be confirmed in future studies.

The study has strengths in that it was conducted using a systematic approach and the results are based on a large number of published RCTs. However, there are several limitations. First, most of the included studies had a follow-up duration of less than 6 months. The longer-term effects of DPP-4 inhibitor treatment on beta-cell function and insulin resistance in patients with T2DM warrant further investigation. Second, our study had a lack of power to compare the effectiveness of DPP-4 inhibitors in this study, because the number of available trials for some individual DPP-4 inhibitors was still limited. DPP-4 inhibitors have similar but still varying pharmacological features86,87, and thus, their effects on beta-cell function and insulin resistance may vary. Third, we used the HOMA-B as the indicator of beta-cell function. Because this parameter is originally estimated based on fasting glucose and insulin levels, it may not sufficiently represent postprandial beta-cell function. Fourth, publication bias may exist regarding the effects of DPP-4 inhibitors on beta-cell function.

In conclusion, among patients with T2DM, DPP-4 inhibitors as monotherapy or as add-on therapy in combination with other drugs significantly improved beta-cell function but had no significant effect on insulin resistance.

Additional Information

How to cite this article: Lyu, X. et al. Effects of dipeptidyl peptidase-4 inhibitors on beta-cell function and insulin resistance in type 2 diabetes: meta-analysis of randomized controlled trials. Sci. Rep. 7, 44865; doi: 10.1038/srep44865 (2017).

Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Material

Supplementary Materials
srep44865-s1.doc (453KB, doc)

Acknowledgments

The study was supported by Merck & Co., Inc.

Footnotes

The authors declare no competing financial interests.

Author Contributions L.X.F. and R.X.W. designed the study, conducted all searches, appraised all potential studies and wrote and revised the draft manuscript and subsequent manuscripts. Z.X.L. and Z.B. revised the draft manuscript and subsequent manuscripts. D.L. and C.D.W. assisted with the presentation of findings and assisted with drafting and revising the manuscript. W.C. and L.G.J. conceived and designed the study, assisted with searches, appraised relevant studies and assisted with drafting and revising the manuscript. All authors read and approved the final manuscript.

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