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Association between dipeptidyl peptidase-4 inhibitors use and leptin in type 2 diabetes mellitus

Diabetology & Metabolic Syndrome volume 13, Article number: 88 (2021) Cite this article

Abstract

Background

Dipeptidyl peptidase-4 inhibitors (DPP-4i) provide a unique antihyperglycemic effect by regulating incretin peptides in type 2 diabetes mellitus (T2DM) patients who are inadequately controlled with insulin therapy. The aim of this study was to investigate the impact of DPP-4i on leptin concentrations in subjects with T2DM.

Methods

Randomized controlled trials (RCTs) with comparators were systematically searched through PubMed, Embase, and the Cochrane Library. Quantitative analysis was performed with a fixed or random-effects model according to heterogeneity. Publication bias was evaluated by using the standard methods for sensitivity analysis.

Results

Ten trials with 698 patients with T2DM were included. Pooled analysis demonstrated that DPP-4i did not significantly change leptin concentrations (1.31 ng/mL, 95 % CI − 0.48 to 3.10). DPP-4i exerted effects on modulating leptin levels compared to active comparators (0.21 ng/mL, 95 % CI − 1.37 to 1.78). Meta-analysis was powerful and stable after sensitivity analysis.

Conclusions

DPP-4i did not modulate leptin concentrations in T2DM and exerted no stronger effects than traditional antidiabetic agents.

Introduction

Type 2 diabetes mellitus (T2DM) is a common metabolic disease characterized by hyperglycemia and is often accompanied by obesity. Reports indicate that obesity is a promoter of T2DM and childhood-obesity increases the risk of T2DM in adulthood [1]. An obesity forecast study based on a nonlinear regression model suggested that 51 % of the population in the world will be obese by 2030 [2]. In the obese state, excessive visceral fat accumulation could cause adipose tissue dysfunctionality that contributes to the onset of obesity-related comorbidities [3]. The functions of adipose tissue include not only storing energy but also synthesizing and secreting adipocytokines. These adipokines play distinct roles in physiological and pathophysiological conditions. Among them, leptin is an adipokine mainly secreted by adipose tissue and serves as an afferent signal for maintaining homeostasis of adipose tissue mass [4]. Data have suggested that dysregulated leptin is usually associated with metabolic diseases, including obesity and T2DM [5]. Apart from obesity, hyperleptinemia is linked with insulin resistance and hypertension. In addition, leptin independently reduces blood glucose levels, particularly in hyperglycemic models of insulin deficiency [6]. Currently, a number of studies have shown that different antidiabetic agents modulate serum leptin concentrations in physiological and pathophysiological conditions [7,8,9].

Novel glucose-lowering drugs including sodium-glucose cotransporter 2 (SGLT2) inhibitors, glucagon-like peptide 1 (GLP-1) receptor agonists, and Dipeptidyl peptidase-4 inhibitors (DPP-4i) have become available. These agents provide protective effects by reducing blood glucose levels and improving insulin resistance [10, 11]. Effective glucose control by these new agents significantly improves long-term microvascular and macrovascular complications in patients with T2DM [10, 12]. Among them, dipeptidyl peptidase 4 inhibitors exert the effect on lowering blood glucose by inhibiting the inactivation of GLP-1 [13]. The efficacy and safety of DPP-4 inhibitors have been proved by several randomized controlled trials, demonstrating improved glucose control with a low risk of hypoglycemia [14]. It remains unknown whether DPP-4 inhibitors could modulate leptin and to what extent compared to other antidiabetic agents. Therefore, the current study aimed to help demonstrate the impact of DPP-4i on leptin levels in T2DM.

Methods

Search strategy

We searched PubMed, Embase, and the Cochrane Library for randomized controlled trials (RCTs) published in English from inception until 30 March 2021. The key terms used were “sitagliptin” OR “vildagliptin” OR “teneligliptin” OR “saxagliptin” OR “linagliptin” OR “alogliptin”. Two authors independently performed the literature search.

Study selection

All RCTs lasting at least 4 weeks and reporting data on leptin outcome were included. A study was identified if it was a randomized controlled study comparing DPP-4i with placebo or other antidiabetic agents, if it reported leptin levels with DPP-4i treatment, and if it was conducted in patients with T2DM. A study was excluded if it was conducted in healthy participants, it was non-human designed, if it was a narrative review, or only an abstract paper. Reference lists of eligible studies as well as systematic reviews and meta-analyses of DPP-4i were hand-searched for additional relevant studies. Corresponding authors were contacted if relevant information was missing. Inclusion and exclusion criteria were evaluated objectively by two reviewers.

Data extraction

Two authors independently extracted data by using standardized predefined forms : first author name, year of article publication, country origin, sample size, gender distribution, body mass index, mean age, diabetes duration, DPP-4 inhibitor(s), comparator(s), therapy duration, baseline glycated hemoglobin A1c(HbA1c), and serum leptin concentrations. The primary outcome measure was a change in leptin concentrations. When studies reported leptin data for different treatment durations, the longest was used.

Quality evaluation

Study quality was assessed using the Cochrane risk of bias tool. The parameters included random sequence generation, allocation concealment, blinding of participants and personnel, blinding of outcome assessment, incomplete outcome data, selective outcome reporting, and other potential sources of bias. According to the Cochrane risk tool, “yes” indicated a low risk of bias, while “no” indicated a high risk of bias. “Unclear” indicated an unknown or unclear risk of bias.

Statistical analysis

We undertook a meta-analysis using STATA version 14.1 (Stata Corp, College Station, TX, USA). Continuous leptin outcome was pooled with a fixed-effects or random-effects model according to study heterogeneity. The results were reported with 95 % confidence intervals (CIs), and P values < 0.05 were considered statistically significant. Heterogeneity was assessed using chi-squared tests and quantified with the I2 index. Sensitivity analysis was conducted with the leave-one-out method to assess the influence of each study on the overall effect size. Publication bias was examined by Begg’s test and Egger’s test if there were at least five studies in the meta-analysis. Subgroup analysis was performed according to treatment duration, age, BMI, leptin, and HbA1c at baseline.

Results

Study inclusion process and characteristics of included studies

From 12,459 identified records, we excluded non-human and observational studies, leaving 10 for full-text assessment. After systematic selection (Fig. 1), 10 RCTs fulfilled the inclusion criteria (Table 1). RCTs published between 2015 and 2021 included 698 participants. Of these, 348 were treated with a DPP-4 inhibitor (175 with sitagliptin, 72 with vildagliptin, 21 with saxagliptin, 42 with alogliptin, and 38 with linagliptin), monotherapy or in addition to metformin or other antidiabetic agents, and 350 were treated with placebo or control therapy. The follow-up time ranged from 1 to 13 months. In the largest study, 241 subjects were included, while the smallest one recruited 20 subjects. Most patients received sitagliptin, while the remaining studies compared vildagliptin, saxagliptin, alogliptin, and linagliptin with placebo or traditional antidiabetic agents, respectively.

Fig. 1
figure 1

Flow diagram of the study selection process

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Table. 1 Demographic characteristics of the studies included
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Quality evaluation

The results of quality evaluation e displayed in Fig. 2. Overall, the risk of bias for the items was judged to be low. All the studies were randomly designed. There was an unclear risk of bias in some items, including allocation concealment, blinding of the outcome and participants. Two studies had detection bias based on blinding of outcome assessment, and three studies had performance bias due to the lack of implementation of blind methods.

Fig. 2
figure 2

Risk of bias graph

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Meta-analysis of the effect of DPP-4i treatment

Leptin data were available from all RCTs. Based on the pooled analysis, the effect of DPP-4i on leptin concentrations was 1.31 ng/mL (95 % CI, − 0.48 to 3.10, P = 0.95, I2 = 0 %) compared to placebo, and 0.21ng/mL (95 % CI, − 1.36 to 1.78, P = 0.16, I2 = 33 %) compared to traditional antidiabetic agents (Fig. 3). The pooled estimate of the modulating effect of DPP-4i on leptin was credible in the leave-one-out sensitivity analysis (WMD 0.42ng/mL, 95 % CI − 0.54, 1.39, N = 10 studies, heterogeneity P = 0.39; Fig. 4). This confirmed that the effect across the studies was an overall effect of all the identified studies. In the subgroup analysis, the baseline HbA1c, leptin, BMI, length of follow-up, andage parameters did not influence the impact of DPP-4i on leptin (see Additional file 1: Figs. S1–S5). No publication bias was suggested by Begg’s test (P = 0.93) or Egger’s test (P = 0.95) across the 10 studies (Fig. 5).

Fig. 3
figure 3

Meta-analyses of Dipeptidyl peptidase-4 inhibitors (DPP-4i) versus other anti-diabetic treatments or placebo

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Fig. 4
figure 4

The graph of sensitivity analysis (The vertical line on the left indicates the total lower level of CI, the vertical line in the middle indicates the total pooled effect size, and the vertical line on the right indicates the total higher level of CI. The circle indicates the pooled effect size after deleting the study. The dotted line indicates the 95 % CI range after the deletion of the study.)

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Fig. 5
figure 5

The funnel plot for the role of dipeptidyl peptidase-4 inhibitors in type 2 diabetes mellitus

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Discussion

The present study aimed to evaluate the effect of DPP-4 inhibitors on serum levels of leptin in T2DMs. Leptin is associated with metabolism, insulin sensitivity, and diabetes. Interestingly, this meta-analysis demonstrated that DPP-4 inhibitors exerted no significant effect on changing circulating leptin levels in T2DM patients compared to placebo or active drugs.

Leptin is a protein containing 167 amino acids that is mainly secreted by white adipose tissue into the blood and can be transported across the blood-brain barrier [15]. Leptin plays a key role in regulating the physiologic switch between the fed and starved states. Since its discovery in 1994, leptin has provided deep insights into the regulation of central nervous system energy balance circuits [16]. This adipokine regulates metabolic homeostasis by inhibiting food intake and increasing energy expenditure. Surprisingly,leptin significantly reduced blood glucose in mouse models of insulin-deficient diabetes, suggesting that leptin modulated glucose homeostasis independently of insulin [17, 18]. Although its exact mechanism of lowering glucose levels remains unknown, data have shown that leptin decreases appetite, suppresses insulin secretion, and increases insulin sensitivity. Overall, the identification of leptin has provided a framework for studying the pathogenesis of obesity in the diabetic population. Decreases in sensitivity to leptin might contribute to the development of T2DM [19].

Leptin therapy has been found to effectively reverse hyperglycemia and prevent mortality in mouse models of diabetes [20]. The pathogenesis of diabetes is different from that of obesity, and reports have shown that it might be related to leptin hyposecretion or leptin resistance. The former type of diabetes is characterized by low endogenous plasma leptin levelsand these patients respond to leptin therapy, while the latter describes most obese subjects, who are leptin resistant but might respond to leptin therapy in combination with other drugs such as leptin sensitizers [21]. In the state of T2DM, leptin resistance was observed and leptin action was decreased in the brain parenchyma and vessels, despite its elevated concentrations in the plasma [18]. In T2DM, elevated levels of leptin are often linked with increased cardiovascular risks, as well as with the presence of macro- and microvascular complications. Diabetic subjects might benefit from correction of leptin resistance as well as insulin resistance [20]. In patients with severe coronary artery disease, abdominal obesity is commonly related to increased leptin concentrations and decreased adiponectin concentrations. Leptin/adiponectin imbalance might mediate the increased risks of developing T2DM and cardiovascular diseases(CVDs) associated with abdominal obesity [22]. Our team previously found that DPP-4 inhibitors increased serum adiponectin levels in T2DMs [23]. In the current study, we demonstrated that DPP-4 inhibitors did not significantly change serum leptin concentrations, suggesting that these drugs provided a neutral effect without aggravating leptin resistance in the diabetic state.

Although the cardiovascular safety of DPP-4 inhibitors has been proven in T2DM, the net effect of these drugs on leptin concentrations in obesity-related disease remains unclear [24]. In Kitamura’s study, leptin sensitivity was enhanced after anagliptin treatment in high-fat diet fed mice [25]. In the study evaluating the inhibitory effect of vildagliptin on fibrosis markers in white adipose tissue of high-fat diet-induced obese mice, vildagliptin prevented the increase of fibrosis markers and reduced leptin levels [26]. The effect of sitagliptin on reducing BMI and the occurrence of hypoglycemia in obese patients with insulin treatment-induced diabetes mellitus might be correlated with decreased leptin levels and increased adiponectin levels [27]. Add-on therapy with anagliptin in Japanese T2DM patients treated with metformin for 52 weeks also reduced leptin concentrations [28]. Our study included most studies with relatively shorter treatment durations lasting from 1 to 6 months, with only 1 study lasting for 13 months. Further studies with a longer duration and a larger number of participants will be needed to illuminate the effect of DPP-4 inhibitors on leptin concentrations and leptin sensitivity.

Besides, T2DM is associated with metabolic dysregulation and chronic inflammation. Data emerging from research on leptin in diabetes suggest that it is an inflammatory mediator that sustains multifactorial diseases [29]. Leptin induces tumor necrosis factor-α (TNF-α)-dependent inflammation in acquired generalized lipodystrophy disease [30]. Statins [31] and antidiabetic agents [32] including sitagliptin, metformin, pioglitazone, liraglutide, and empagliflozin exhibit certain effects on inflammation. Sitagliptin effectively improved diet-induced metabolic syndrome and fatty liver via regulation of adipose tissue inflammation and hepatic adiponectin/ leptin levels [33]. Another study proved that the novel DPP-4 inhibitor teneligliptin prevents high-fat diet-induced obesity accompanied by increased energy expenditure in mice [34]. DPP-4 inhibitor anagliptin exerts anti-inflammatory effects on macrophages, adipocytes, and mouse liver by suppressing NF-kB activation [35]. We also found that the inflammatory marker C-reactive protein was effectively reduced after DPP-4 inhibition [36]. Further data should be reviewed regarding the role of leptin in inflammation, and the role of inflammation in the development of leptin resistance and obesity.

Although there have been some reports investigating the effect of antidiabetic agents including DPP-4 inhibitors, no confirming answers on whether DPP4 inhibitors modulate leptin have been drawn. We could not obtain further information for other comparisons for modulating leptin levels in T2DMs. In the absence of comparative evidence between DPP-4i and other anti-diabetic medications, this meta-analysis added detailed illustration on adipokine of leptin levels. In this pooled analysis, comparisons of DPP-4i therapy and other treatment for type 2 diabetes (with 10 included trials) were performed, providing evidence that DPP-4i treatment was not significantly associated with changing leptin levels in participants from different regions in comparison with placebo. This effect of DPP-4i on leptin levels was not changed by potential variablesincluding treatment duration, age, and baseline HbA1c.

This study is the first meta-analysis demonstrating the effect of DDP-4i on serum leptin concentrations in T2DMs. It suggested that DPP-4i did not exert an effect on leptin resistance in T2DM patients with obesity-associated cardiovascular diseases. It also provides insights into the therapeutic implications of obesity-related atherosclerotic disease in humans and the potentially protective effects on leptin sensitivity. Secondly, the pooled results suggest that leptin potentially serves as an effective cardiovascular biomarker in T2DM. Thirdly, subgroup analysis was performed to explore the effect of therapy duration, diabetes duration, dosage, and age.

This study also has some limitations needed to be disclosed. Firstly, only studies published in English were searched, which could inevitably generate publication bias and unstable estimates of treatment effects. What’s more, the pooled analysis should be interpreted with consideration for the moderate heterogeneity across identified studies, although measures were alleviate it by performing the sensitivity analysis and subgroup analysis. Thirdly, the follow-up periods were relatively short, and evaluating the long-term effects of DPP-4i treatment is necessary.

Conclusions

DPP-4i exerted no off-target effects on modulating leptin concentrations in patients with T2DM. Data on the long-term effects are needed to perform in patients with T2DM with risks of obesity and cardiovascular disease.

Availability of data and materials

All data generated or analyzed during this study are included in this published article [and its supplementary information files].

References

  1. Malone JI, Hansen BC. Does obesity cause type 2 diabetes mellitus (T2DM)? Or is it the opposite? Pediatr Diabetes. 2019;20:5–9.

    Article  PubMed  Google Scholar 

  2. Finkelstein EA, Khavjou OA, Thompson H, Trogdon JG, Pan L, Sherry B, Dietz W. Obesity and severe obesity forecasts through 2030. Am J Prev Med. 2012;42:563–70.

    Article  PubMed  Google Scholar 

  3. Unamuno X, Gómez-Ambrosi J, Rodríguez A, Becerril S, Frühbeck G, Catalán V. Adipokine dysregulation and adipose tissue inflammation in human obesity. Eur J Clin Invest. 2018;48:e12997.

    Article  PubMed  CAS  Google Scholar 

  4. Friedman J. The long road to leptin. J Clin Invest. 2016;126:4727–34.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Katsiki N, Mikhailidis DP, Banach M. Leptin, cardiovascular diseases and type 2 diabetes mellitus. Acta Pharmacol Sin. 2018;39:1176–88.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. D’Souza AM, Neumann UH, Glavas MM, Kieffer TJ. The glucoregulatory actions of leptin. Mol Metab. 2017;6:1052–65.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  7. Frias JP, Bastyr EJ 3rd, Vignati L, Tschöp MH, Schmitt C, Owen K, Christensen RH, DiMarchi RD. The sustained effects of a dual GIP/GLP-1 receptor agonist, NNC0090-2746, in patients with type 2 diabetes. Cell Metab. 2017;26:343–52.e342.

    Article  CAS  PubMed  Google Scholar 

  8. Garvey WT, Van Gaal L, Leiter LA, Vijapurkar U, List J, Cuddihy R, Ren J, Davies MJ. Effects of canagliflozin versus glimepiride on adipokines and inflammatory biomarkers in type 2 diabetes. Metabolism. 2018;85:32–7.

    Article  CAS  PubMed  Google Scholar 

  9. Sardu C, D’Onofrio N, Torella M, Portoghese M, Loreni F, Mureddu S, Signoriello G, Scisciola L, Barbieri M, Rizzo MR, et al. Pericoronary fat inflammation and Major Adverse Cardiac Events (MACE) in prediabetic patients with acute myocardial infarction: effects of metformin. Cardiovasc Diabetol. 2019;18:126.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  10. Kotsis V, Jordan J, Stabouli S, Antza C, Micic D, Jelaković B, Schlaich MP, Nilsson PM, Kreutz R, Mancia G, et al. Cardiovascular, renal and liver protection with novel antidiabetic agents beyond blood glucose lowering in type 2 diabetes: consensus article from the European Society of Hypertension Working Group on Obesity, Diabetes and the High-risk Patient. J Hypertens. 2020;38:377–86.

    Article  CAS  PubMed  Google Scholar 

  11. Home P. Cardiovascular outcome trials of glucose-lowering medications: an update. Diabetologia. 2019;62:357–69.

    Article  CAS  PubMed  Google Scholar 

  12. Zhou P, Xie W, He S, Sun Y, Meng X, Sun G, Sun X. Ginsenoside Rb1 as an anti-diabetic agent and its underlying mechanism analysis. Cells. 2019;8(3):204.

    Article  CAS  PubMed Central  Google Scholar 

  13. Scheen AJ. Cardiovascular effects of new oral glucose-lowering agents: DPP-4 and SGLT-2 inhibitors. Circ Res. 2018;122:1439–59.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Lamos EM, Hedrington M, Davis SN. An update on the safety and efficacy of oral antidiabetic drugs: DPP-4 inhibitors and SGLT-2 inhibitors. Expert Opin Drug Saf. 2019;18:691–701.

    Article  CAS  PubMed  Google Scholar 

  15. Zhang Y, Proenca R, Maffei M, Barone M, Leopold L, Friedman JM. Positional cloning of the mouse obese gene and its human homologue. Nature. 1994;372:425–32.

    Article  CAS  PubMed  Google Scholar 

  16. Flier JS. Starvation in the midst of plenty: reflections on the history and biology of insulin and leptin. Endocr Rev. 2019;40:1–16.

    Article  PubMed  Google Scholar 

  17. German JP, Wisse BE, Thaler JP, Oh IS, Sarruf DA, Ogimoto K, Kaiyala KJ, Fischer JD, Matsen ME, Taborsky GJ Jr, et al. Leptin deficiency causes insulin resistance induced by uncontrolled diabetes. Diabetes. 2010;59:1626–34.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Cernea S, Both E, Huţanu A, Şular FL, Roiban AL. Correlations of serum leptin and leptin resistance with depression and anxiety in patients with type 2 diabetes. Psychiatry Clin Neurosci. 2019;73:745–53.

    Article  CAS  PubMed  Google Scholar 

  19. Huerta MG. Adiponectin and leptin: potential tools in the differential diagnosis of pediatric diabetes? Rev Endocr Metab Disord. 2006;7:187–96.

    Article  CAS  PubMed  Google Scholar 

  20. Denroche HC, Levi J, Wideman RD, Sequeira RM, Huynh FK, Covey SD, Kieffer TJ. Leptin therapy reverses hyperglycemia in mice with streptozotocin-induced diabetes, independent of hepatic leptin signaling. Diabetes. 2011;60:1414–23.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Friedman JM. Leptin and the endocrine control of energy balance. Nat Metab. 2019;1:754–64.

    Article  CAS  PubMed  Google Scholar 

  22. López-Jaramillo P, Gómez-Arbeláez D, López-López J, López-López C, Martínez-Ortega J, Gómez-Rodríguez A, Triana-Cubillos S. The role of leptin/adiponectin ratio in metabolic syndrome and diabetes. Horm Mol Biol Clin Investig. 2014;18:37–45.

    PubMed  Google Scholar 

  23. Liu X, Men P, Wang Y, Zhai S, Liu G. Impact of dipeptidyl peptidase-4 inhibitors on serum adiponectin: a meta-analysis. Lipids Health Dis. 2016;15:204.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  24. Scheen AJ. Cardiovascular safety of DPP-4 inhibitors compared with sulphonylureas: results of randomized controlled trials and observational studies. Diabetes Metab. 2018;44:386–92.

    Article  CAS  PubMed  Google Scholar 

  25. Kohno D, Furusawa K, Kitamura T. Anagliptin suppresses diet-induced obesity through enhancing leptin sensitivity and ameliorating hyperphagia in high-fat high-sucrose diet fed mice. Endocr J. 2020;67:523–9.

    Article  CAS  PubMed  Google Scholar 

  26. Marques AP, Cunha-Santos J, Leal H, Sousa-Ferreira L, Pereira de Almeida L, Cavadas C, Rosmaninho-Salgado J. Dipeptidyl peptidase IV (DPP-IV) inhibition prevents fibrosis in adipose tissue of obese mice. Biochim Biophys Acta Gen Subj. 2018;1862:403–13.

    Article  CAS  PubMed  Google Scholar 

  27. Li S, Li H, Wang R, Zhang JP. The effect of sitagliptin on obese patients with insulin treatment-induced diabetes mellitus. Eur Rev Med Pharmacol Sci. 2017;21:3490–5.

    CAS  PubMed  Google Scholar 

  28. Osonoi T, Saito M, Hariya N, Goto M, Mochizuki K. Add-on therapy with anagliptin in Japanese patients with type-2 diabetes mellitus treated with metformin and miglitol can maintain higher concentrations of biologically active GLP-1/total GIP and a lower concentration of leptin. Peptides. 2016;86:118–25.

    Article  CAS  PubMed  Google Scholar 

  29. Pérez-Pérez A, Sánchez-Jiménez F, Vilariño-García T, Sánchez-Margalet V. Role of leptin in inflammation and vice versa. Int J Mol Sci. 2020;21(16):5887.

    Article  PubMed Central  CAS  Google Scholar 

  30. Ziegler JF, Böttcher C, Letizia M, Yerinde C, Wu H, Freise I, Rodriguez-Sillke Y, Stoyanova AK, Kreis ME, Asbach P, et al. Leptin induces TNFα-dependent inflammation in acquired generalized lipodystrophy and combined Crohn’s disease. Nat Commun. 2019;10:5629.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Katsiki N, Mikhailidis DP, Gotzamani-Psarrakou A, Yovos JG, Karamitsos D. Effect of various treatments on leptin, adiponectin, ghrelin and neuropeptide Y in patients with type 2 diabetes mellitus. Expert Opin Ther Targets. 2011;15:401–20.

    Article  CAS  PubMed  Google Scholar 

  32. Katsiki N, Mikhailidis DP, Gotzamani-Psarrakou A, Didangelos TP, Yovos JG, Karamitsos DT. Effects of improving glycemic control with insulin on leptin, adiponectin, ghrelin and neuropeptidey levels in patients with type 2 diabetes mellitus: a pilot study. Open Cardiovasc Med J. 2011;5:136–47.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Prakash S, Rai U, Kosuru R, Tiwari V, Singh S. Amelioration of diet-induced metabolic syndrome and fatty liver with sitagliptin via regulation of adipose tissue inflammation and hepatic Adiponectin/AMPK levels in mice. Biochimie. 2020;168:198–209.

    Article  CAS  PubMed  Google Scholar 

  34. Fukuda-Tsuru S, Kakimoto T, Utsumi H, Kiuchi S, Ishii S. The novel dipeptidyl peptidase-4 inhibitor teneligliptin prevents high-fat diet-induced obesity accompanied with increased energy expenditure in mice. Eur J Pharmacol. 2014;723:207–15.

    Article  CAS  PubMed  Google Scholar 

  35. Shinjo T, Nakatsu Y, Iwashita M, Sano T, Sakoda H, Ishihara H, Kushiyama A, Fujishiro M, Fukushima T, Tsuchiya Y, et al. DPP-IV inhibitor anagliptin exerts anti-inflammatory effects on macrophages, adipocytes, and mouse livers by suppressing NF-κB activation. Am J Physiol Endocrinol Metab. 2015;309:E214–23.

    Article  CAS  PubMed  Google Scholar 

  36. Liu X, Men P, Wang B, Cai G, Zhao Z. Effect of dipeptidyl-peptidase-4 inhibitors on C-reactive protein in patients with type 2 diabetes: a systematic review and meta-analysis. Lipids Health Dis. 2019;18:144.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  37. Takeshita Y, Takamura T, Kita Y, Takazakura A, Kato K, Isobe Y, Kaneko S. Sitagliptin versus mitiglinide switched from mealtime dosing of a rapid-acting insulin analog in patients with type 2 diabetes: a randomized, parallel-group study. Int J Endocrinol. 2015;3:e000122.

    Google Scholar 

  38. Takeshita Y, Takamura T, Kita Y, Otoda T, Kato K, Wakakuri H, Yamada M, Misu H, Matsushima Y, Kaneko S. Vildagliptin vs liraglutide as a second-line therapy switched from sitagliptin-based regimens in patients with type 2 diabetes: a randomized, parallel-group study. J Diabetes investig. 2015;6:192–200.

    Article  CAS  PubMed  Google Scholar 

  39. Kato H, Nagai Y, Ohta A, Tenjin A, Nakamura Y, Tsukiyama H, Sasaki Y, Fukuda H, Ohshige T, Terashima Y, Sada Y, Kondo A, Sasaoka T, Tanaka Y. Effect of sitagliptin on intrahepatic lipid content and body fat in patients with type 2 diabetes. Diabetes Res Clin Pract. 2015;1:199–205.

    Article  CAS  Google Scholar 

  40. Matsushima Y, Takeshita Y, Kita Y, Otoda T, Kato K, Toyama-Wakakuri H, Akahori H, Shimizu A, Hamaguchi E, Nishimura Y, Kanamori T, Kaneko S, Takamura. T:Pleiotropic effects of sitagliptin versus voglibose in patients with type 2 diabetes inadequately controlled via diet and/or a single oral antihyperglycemic agent: a multicenter, randomized trial. BMJ Open Diabetes Res Care. 2016;4:e000190.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Dore FJ, Domingues C, Ahmadi C, Kundu N, Kropotova N, Houston Y, Rouphael S, Mammadova C, Witkin A, Khiyami L, Amdur A, Sen RL. S: The synergistic effects of saxagliptin and metformin on CD34 + endothelial progenitor cells in early type 2 diabetes patients: a randomized clinical trial. Cardiovasc Diabetol. 2018;17:65.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Takihata, MTerauchi, Y. The efficacy and safety of luseogliflozin and sitagliptin depending on the sequence of administration in patients with type 2 diabetes mellitus: a randomized controlled pilot study. Expert Opin Pharmacother. 2019;17:2185–94.

    Google Scholar 

  43. Takeshita Y, Kita Y, Kato KI, Kanamori T, Misu H, Kaneko S, Takamura T. Effects of metformin and alogliptin on body composition in people with type 2 diabetes. J Diabetes Investig. 2019;10:723–30.

    Article  CAS  PubMed  Google Scholar 

  44. Schiapaccassa A, Maranhão PA, de Souza, Mdgc, Panazzolo DG, Nogueira Neto JF, Bouskela E, Kraemer-Aguiar L. G:30-days effects of vildagliptin on vascular function, plasma viscosity, inflammation, oxidative stress, and intestinal peptides on drug-naïve women with diabetes and obesity: a randomized head-to-head metformin-controlled study. Diabetol Metab Syndr. 2019;11:70.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  45. Awal HB, Nandula SR, Domingues CC, Dore FJ, Kundu N, Brichacek B, Fakhri M, Elzarki A, Ahmadi N, Safai S, Fosso M, Amdur RL, Sen S. Linagliptin, when compared to placebo, improves CD34 + ve endothelial progenitor cells in type 2 diabetes subjects with chronic kidney disease taking metformin and/or insulin: a randomized controlled trial. Cardiovasc Diabetol. 2020;19:72.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. Komorizono Y, Hosoyamada K, Imamura N, Kajiya S, Hashiguchi Y, Ueyama N, Shinmaki H, Koriyama N, Tsukasa M, Kamada T. Metformin dose increase versus added linagliptin in non-alcoholic fatty liver disease and type 2 diabetes: an analysis of the J-LINK study. Diabetes Obes Metab. 2021;23:832–7.

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

Not applicable.

Funding

This work was supported by grants from the Key Specialty of Beijing.

Author information

Authors and Affiliations

  1. Department of Cardiology and Macrovascular Disease, Beijing Tiantan Hospital, Capital Medical University, Beijing, China

    Xin Wei & Zening Jin

  2. Department of Otolaryngology, Beijing Haidian Hospital, Beijing, China

    Yu Bai

  3. Department of Gastroenterology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China

    Zhuo Wang

  4. Department of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China

    Xiaohong Zheng

  5. Department of Pharmacy, Beijing Tiantan Hospital, Capital Medical University, Beijing, China

    Xin Liu

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  1. Xin Wei
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  5. Zening Jin
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Contributions

XW and YB participated in the design, conduct, and collection of this meta-analysis. XW, YB, ZW and XHZ searched the literature, extracted the data, and evaluated the risk of bias. XW and YB took part in writing the manuscript. ZNJ and XL, have full access to all the data in the study and take full responsibility for the integrity of the data analysis. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Zening Jin or Xin Liu.

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If the manuscript is accepted, we approve it for publication in Diabetology & Metabolic Syndrome.

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Supplementary Information

Additional file 1

: Figure S1. Subgroup analysis based on treatment duration. Figure S2. Subgroup analysis based on BMI. Figure S3. Subgroup analysis based on leptin. Figure S4. Subgroup analysis based on age. Figure S5. Subgroup analysis based on HbA1c.

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Wei, X., Bai, Y., Wang, Z. et al. Association between dipeptidyl peptidase-4 inhibitors use and leptin in type 2 diabetes mellitus. Diabetol Metab Syndr 13, 88 (2021). https://doi.org/10.1186/s13098-021-00703-x

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Keywords

Diabetology & Metabolic Syndrome

ISSN: 1758-5996

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