Comparison of non-insulin antidiabetic agents as an add-on drug to insulin therapy in type 2 diabetes: a network meta-analysis

Buckwheat protein-derived peptide ameliorates insulin resistance by directing O-linked N-acetylglucosamine transferase to regulate the SIRT1/PGC1α pathway

The antidiabetic activity of the novel Buckwheat protein-derived peptide (Ala-Phe-Tyr-Arg-Trp, AFYRW) and its associated protein glycosylation have been verified. Our preliminary study demonstrates the potential of AFYRW as a therapeutic agent for diabetes, but the mechanism needs further investigation. Given the vital role of O-linked N-acetylglucosamine transferase (OGT) in diabetes mellitus and insulin resistance (IR), we focused on the underlying molecular mechanisms of them in ameliorating IR. We found AFYRW protects against hyperglycemia in diabetic mice and improves glucose metabolism in an IR cell model. Mechanistically, we demonstrated that AFYRW decreases glutamine-fructose-6-phosphate amidotransferase (GFAT) expression via X-box binding protein 1 (XBP1) in the hexosamine biosynthesis pathway (HBP), consequently decreasing OGT and stimulating the SIRT1/PGC1α pathway. Of note, the overlapping roles of increased SIRT1 and decreased OGT caused by AFYRW ameliorated IR. The data presented here show that AFYRW contributes to metabolism by directly controlling glucose homeostasis. Taken together, our study unveils that AFYRW protects against both insulin resistance and diabetes mellitus-induced hyperglycemia through OGT to regulate the SIRT1/PGC1α pathway, which provides a mechanistic basis for novel AFYRW to be a potential therapeutic agent.

Effects of different hypoglycaemic drugs on beta-cell function in type 2 diabetes mellitus: a systematic review and network meta-analysis

AIM

This study compared the effects of hypoglycaemic drugs on beta-cell function among type 2 diabetes mellitus (T2DM) patients through a network meta-analysis of randomized controlled trials (RCTs).

METHODS

We searched the PubMed, EMBASE, and Cochrane Library databases for RCTs of different hypoglycaemic drugs as T2DM treatment from database inception to December 1, 2024. The primary outcome was homeostasis model assessment-β (HOMA-β), and the secondary outcome was glycated haemoglobin (HbA1c). Direct and indirect evidence types were combined to calculate weighted mean difference (WMD) and 95% confidence interval (CI) values for the change in (△) HOMA-β and △HbA1c, and to determine surface under the cumulative ranking curve (SUCRA) values.

RESULTS

A total of 58 RCTs involving 16,345 T2DM patients were incorporated into this network meta-analysis. The mean patient age was 66.70 years, and 54.14% were male. For improving HOMA-β, the top treatments were glimepiride + rosiglitazone (WMD = 81.83, 95% CI 45.85-117.82) and glibenclamide + rosiglitazone (WMD = 79.51, 95% CI 40.66-118.36). Acarbose (WMD = 60.90, 95% CI 27.56-94.25) ranked third as monotherapy. For reducing HbA1c, glibenclamide + rosiglitazone was the most efficacious treatment (WMD = - 2.48, 95% CI - 3.67 to - 1.29), followed by metformin + exenatide (WMD = - 1.77, 95% CI - 2.25 to - 1.29) and liraglutide (WMD = - 1.77, 95% CI - 2.33 to - 1.21). The treatment with the highest SUCRA value for HOMA-β improvement was glimepiride + rosiglitazone (95.1%), followed by glibenclamide + rosiglitazone (94.9%). For HbA1c improvement, glibenclamide + rosiglitazone had the highest SUCRA value (97.6%).

CONCLUSIONS

The combination of glimepiride/glibenclamide and rosiglitazone was the most effective hypoglycaemic regimen for protecting beta-cell function and improving glycaemic control in T2DM treatment, possibly due to control of HbA1c and glycotoxicity.

Comparison of GLP-1 Receptor Agonists, SGLT-2 Inhibitors, and DPP-4 Inhibitors as an Add-On Drug to Insulin Combined With Oral Hypoglycemic Drugs: Umbrella Review

Background: The objective was to evaluate the efficacy of the combination of Glucagon-like peptide-1 receptor agonists (GLP-1 RAs), dipeptidyl peptidase-4 inhibitors (DPP-4i), and sodium-glucose cotransporter 2 inhibitor (SGLT-2i) in the treatment of Type 2 diabetes with poor efficacy of basic insulin and metformin/sulfonylurea by umbrella review. Materials and Methods: Forming the data of publication of each database through 13 September 2022, PubMed, EMBASE, and Cochrane Library were surveyed. Results: A total of seven meta-analyses were included in the umbrella review. The combination of GLP-1 RA (WMD -3.41 [-5.61, -1.21], p = 0.002), SGLT-2i (WMD -5.34 [-9.56, -1.13], p = 0.013), and DPP-4i (WMD -5.56 [-7.39, -3.73], p ≤ 0.001) can significantly reduce HbA1c levels, respectively. The combination of GLP-1 RA (WMD -1.55 [-2.92, -0.18], p = 0.027), SGLT-2i (WMD -2.96 [-6.68, 0.77], p = 0.12), and DPP-4i (WMD -2.05 [-2.82, -1.28], p ≤ 0.001) can significantly reduce fasting plasma glucose (FPG) levels, respectively. The combination of GLP-1 RA (WMD -3.24 [-5.14, -1.34], p < 0.001) can significantly reduce body weight of Type 2 diabetes mellitus (T2DM). The dose of basic insulin in diabetes patients after combined use of GLP-1 RA (WMD -2.74 [-4.26, -1.22], p ≤ 0.001) was significantly reduced. The combination use of GLP-1 RAs (OR 1.28 [1.05, 1.56], p = 0.017) increases the risk of hypoglycemia. Conclusions: The combination of GLP-1 RAs, DPP-4i, and SGLT-2i can effectively lower HbA1c and FPG in T2DM patients who have poor therapeutic effects on basic insulin combined with metformin/sulfonylureas, respectively. Compared to placebo, GLP-1 RAs can significantly reduce body weight and basic insulin dosage, while DPP-4i and SGLT-2i have a lower risk of hypoglycemia. Trial Registration: CRD42023410345.

Antidiabetic activity of Tartary buckwheat protein-derived peptide AFYRW and its effects on protein glycosylation of pancreas in mice

Diabetes Mellitus (DM) is one of the most important public health problems, and new antidiabetic drugs with fewer side effects are urgently needed. Here, we measured the antidiabetic effects of an antioxidant peptide (Ala-Phe-Tyr-Arg-Trp, AFYRW) from Tartary Buckwheat Albumin (TBA) in a high-fat diet/streptozotocin (HFD/STZ)-induced diabetic mouse model. The data showed that AFYRW suppressed hepatocyte steatosis and triglycerides while ameliorating insulin resistance in mice. Successively, the influence of AFYRW on aberrant protein glycosylation in diabetic mice was further investigated by lectin microarrays. The results suggested AFYRW could restore the expression of GalNAc, GalNAcα1-3Gal and GalNAcα1-3Galβ1-3/4Glc recognized by PTL-I, Siaα2-3Galβ1-4Glc(NAc)/Glc, Siaα2-3Gal, Siaα2-3 and Siaα2-3GalNAc recognized by MAL-II, terminating in GalNAcα/β1-3/6Gal recognized by WFA and αGalNAc, αGal, anti-A and B recognized by GSI-I to normal levels in the pancreas of HFD-STZ-induced diabetic mice. This work may provide new targets for the future discovery of potential biomarkers to evaluate the efficacy of food-derived antidiabetic drugs based on precise alterations of glycopatterns in DM.

Impact of Type 2 Diabetes Duration on the Efficacy and Safety of Add-on Lixisenatide in Asian Individuals Receiving Basal Insulin: A Pooled Analysis

INTRODUCTION

This analysis investigated the efficacy and safety of add-on lixisenatide by disease duration in Asian people with type 2 diabetes inadequately controlled with basal insulin ± oral antidiabetic drugs.

METHODS

Data for Asian participants in the GetGoal-Duo 1, GetGoal-L, and GetGoal-L-C studies were pooled and categorized by diabetes duration: < 10 years (group 1), 10 to < 15 years (group 2), and ≥ 15 years (group 3). Efficacy and safety of lixisenatide versus placebo were evaluated by subgroup. The potential influence of diabetes duration on efficacy was examined using multivariable regression analyses.

RESULTS

A total of 555 participants were included (mean age 53.9 years, 52.4% male). No significant differences in treatment effect between the duration subgroups were observed for the changes from baseline to 24 weeks in glycated hemoglobin (HbA1c), fasting plasma glucose (FPG), postprandial glucose (PPG), PPG excursion, body weight or body mass index, or the proportion of participants with HbA1c < 7% at 24 weeks (all P values for interaction > 0.1). Change in insulin dosage (U/day) was significantly different between subgroups (P = 0.038). Multivariable regression analysis showed participants in group 1 had a smaller change in body weight and basal insulin dose over the 24-week treatment period than participants in group 3 (P = 0.014 and 0.030, respectively) and were less likely to achieve an HbA1c < 7% than participants in group 2 (P = 0.047). No severe hypoglycemia was reported. A higher proportion of participants in group 3 versus the other groups had symptomatic hypoglycemia, for both lixisenatide and placebo, and T2D duration had a significant effect on hypoglycemia risk (P = 0.001).

CONCLUSIONS

Lixisenatide improved glycemic control in Asian individuals regardless of diabetes duration, without increasing the risk of hypoglycemia. Individuals with longer disease duration had a greater risk of symptomatic hypoglycemia than individuals with shorter disease duration regardless of treatment. No additional safety concerns were observed.

CLINICAL TRIAL REGISTRATION

GetGoal-Duo 1, ClinicalTrials.gov record NCT00975286; GetGoal-L, ClinicalTrials.gov record NCT00715624; GetGoal-L-C, ClinicalTrials.gov record NCT01632163.

Risk of motorcycle collisions among patients with type 2 diabetes: a population-based cohort study with age and sex stratifications in Taiwan

AIMS

To investigate the overall and sex-age-specific absolute and relative risks of motorcycle collisions at road traffic accidents among patients with type 2 diabetes.

METHODS

A cohort study in Taiwan was conducted by following 989,495 patients with type 2 diabetes and the same number of matched controls recruited between 2010 and 2012 to the end of 2016. Collision events by motorcycle driver victims were identified from the Police-reported Traffic Accident Registry. Overall and sex-age-specific incidence rates of collision involving motorcycle driver victims were estimated under Poisson assumption. The Cox proportional hazard regression models were performed to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs) of collision in association with type 2 diabetes.

RESULTS

Over an up to 7 years of follow-up, patients with type 2 diabetes had a higher incidence rate of motorcycle collision than controls at 1.16 and 0.89 per 100 person-years, respectively, which represented a significantly elevated HR of 1.28 (95% CI 1.27-1.30) after adjusting for potential confounders including various diabetic complications. The elevated HR was similarly seen in both men and women patients, and was significantly decreasing with increasing age regardless of sex. Little evidence supported the dose-response relationship between duration of type 2 diabetes and motorcycle collision risk.

CONCLUSIONS

After adjustment for common diabetic complications and comorbidities that could impair driving performance, patients with type 2 diabetes still suffered from increased risk of motorcycle collisions, regardless of sex, but was more evident in younger than in older patients.

Suspected adverse drug reactions of the type 2 antidiabetic drug class dipeptidyl-peptidase IV inhibitors (DPP4i): Can polypharmacology help explain?

To interpret the relationship between the polypharmacology of dipeptidyl-peptidase IV inhibitors (DPP4i) and their suspected adverse drug reaction (ADR) profiles using a national registry. A retrospective investigation into the suspected ADR profile of four licensed DPP4i in the United Kingdom using the National MHRA Yellow Card Scheme and OpenPrescribing databases. Experimental data from the ChEMBL database alongside physiochemical (PC) and pharmacokinetic (PK) profiles were extracted and interpreted. DPP4i show limited polypharmacology alongside low suspected ADR rates. We found a minimal statistical difference between the unique ADR profiles ascribed to the DPP4i except for total ADRs (χ2 ; p < .05). Alogliptin consistently showed the highest suspected ADR rate per 1 000 000 items prescribed. Saxagliptin showed the lowest suspected ADR rate across all organ classes but did not reach statistical difference (χ2 ; p > .05). We confirmed the Phase III clinical trial data that showed gastrointestinal and skin reactions are the most reported ADRs across the DPP4i class and postulated underlying mechanisms for this based on possible drug interactions. The main pharmacological mechanism behind the ADRs is attributed to interactions with DPP4 activity and/or structure homolog (DASH) proteins which augment the immune-inflammatory modulation of DPP4.

Evaluation of motor vehicle crashes between scooter riders and car drivers after diagnosis of type 2 diabetes in Taiwan

BACKGROUND

Despite the plausibility that diabetes may increase the risk of motor vehicle crashes (MVCs) due to various diabetes related complications and co-morbidity, findings from epidemiological studies on the relationship between diabetes and MVCs remained inclusive mainly due to heterogeneity in the study design and failure to complete consideration of potential confounders. This study re-visited this putative association with an improved study design.

METHOD

This study employed a controlled before-after study design and included 1,264,280 people aged 18-75 years with T2D newly diagnosed from 2009-2014 and an equal number of age-, sex-, and time-matched controls. The rate ratios (RRs) of vehicle type-specific incidence rates of MVCs in the 1 and 2 years before and after diabetes diagnosis (or the matched dates) were compared between the individuals with type 2 diabetes (T2D) and their matched controls.

RESULTS

The rate of MVCs increased slightly among people with T2D over 1 and 2 years following diabetes diagnosis, with RRs of 1.04 (95% confidence interval [CI]=1.02-1.07) and 1.11 (95% CI=1.09-1.13), respectively. These RRs were comparable to those obtained for controls (1.06 and 1.12, respectively). By contrast, the RRs of scooter crashes were significantly higher in the T2D group than in the control group during the 1 year (1.28 vs. 1.08, p < 0.001) and 2 years (1.32 vs. 1.08, p < 0.001) following diabetes diagnosis.

CONCLUSION

T2D diagnosis was associated with a moderate but significant increase in the risk of MVCs among scooter drivers, but not among car drivers.

Glucagon-Like Peptide 1 Receptor Agonists Have the Potential to Revolutionize the Attainment of Target A1C Levels in Type 2 Diabetes-So Why Is Their Uptake So Low?

A target A1C of <7% is the recommended goal for most people with type 2 diabetes. However, many are not achieving this target with their current treatment. Glucagon-like peptide 1 (GLP-1) receptor agonists are highly efficacious in achieving glycemic control and could aid primary care providers (PCPs) in getting patients to their A1C target. However, despite their potential, use of GLP-1 receptor agonists in the primary care setting is limited. This review provides guidance for PCPs on how to help patients achieve their glycemic target and overcome perceived barriers of GLP-1 receptor agonist use, with the overall goal of improving PCP confidence in prescribing these agents.

Comparative analysis of the efficacies of probiotic supplementation and glucose-lowering drugs for the treatment of type 2 diabetes: A systematic review and meta-analysis

The aim of this systematic review and meta-analysis was to evaluate the effects of probiotics and glucose-lowering drugs (thiazolidinedione [TZD], glucagon-like pep-tide-1 receptor agonists [GLP-1 RA], dipeptidyl peptidase IV inhibitors, and sodium glucose co-transporter 2 inhibitors [SGLT-2i]) in patients with type 2 diabetes from randomized con-trolled trials (RCTs). The PubMed, Web of science, Embase, and Cochrane Library databases were searched on the treatment effects of probiotics and glucose-lowering drugs on glycemia, lipids, and blood pressure metabolism published between Jan 2015 and April 2021. We performed meta-analyses using the random-effects model. We included 25 RCTs (2,843 participants). Overall, GLP-1RA, SGLT-2i, and TZD significantly reduce fasting blood sugar (FBS) and glycated hemoglobin (HbA1c), whereas GLP-1 RA increased the risk of hypoglycaemia. Multispecies probiotics decrease FBS, total cholesterol (TC), and systolic and diastolic blood pressure (SBP, DBP). Moreover, subgroup analyses indicated that participants aged >55 years, BMI ≥30 kg/m2, longer duration of intervention, and subjects from Eastern countries, showed significantly higher reduction in FBS and HbA1c, TC, TG and SBP. This meta-analysis revealed that including multiple probiotic rather than glucose-lowering drugs might be more beneficial regarding T2D prevention who suffering from simultaneously hyperglycemia, hypercholesterolemia, and hypertension.

Lixisenatide is effective and safe as add-on treatment to basal insulin in Asian individuals with type 2 diabetes and different body mass indices: a pooled analysis of data from the GetGoal Studies

INTRODUCTION

This analysis aims to investigate the efficacy and safety of once-daily lixisenatide add-on treatment to basal insulin in Asian individuals with type 2 diabetes, by baseline body mass index (BMI).

RESEARCH DESIGN AND METHODS

Data from all Asian participants in the placebo-controlled GetGoal-Duo 1, GetGoal-L, and GetGoal-L-C Studies were pooled and categorized according to the following BMI subgroups:<25 kg/m2, 25-<30 kg/m2 and ≥30 kg/m2. Efficacy and safety of lixisenatide versus placebo were evaluated among BMI subgroups. Multivariable regression analyses were also conducted to explore the potential influence of BMI on efficacy outcomes after adjusting for baseline characteristics.

RESULTS

555 participants were included (mean age 53.9 years, 52.4% men). No significant differences in treatment effect between the BMI subgroups were observed for the changes from baseline to 24 weeks in glycated hemoglobin (HbA1c), fasting plasma glucose, postprandial glucose (PPG), PPG excursion, body weight, BMI, and basal insulin dose with lixisenatide, as well as the change in basal insulin dose at study endpoint and the proportion of participants achieving an HbA1c <7% at 24 weeks (all p values for interaction >0.15). In the multivariable regression analysis, participants in the lowest BMI group had a smaller reduction in body weight over the 24-week treatment period relative to the highest BMI group (p=0.023).

CONCLUSIONS

This post hoc analysis indicates that lixisenatide improved glycemic control regardless of baseline BMI and was well tolerated in Asian individuals unable to achieve their HbA1c target on basal insulin±oral antidiabetic drugs.

Sodium-glucose cotransporter 2 inhibitors as an add-on therapy to insulin for type 1 diabetes mellitus: Meta-analysis of randomized controlled trials

AIMS

The aim was to systematically review the efficacy and safety of sodium-glucose cotransporter inhibitor (SGLT2i) as an adjunct to insulin at different follow-up durations in randomized, double-blind clinical trials in patients with type 1 diabetes.

METHODS

We conducted a search on Medline, Embase, and the Cochrane Library for relevant studies published before May 2020. According to the duration of follow-up, the subgroup analysis included four periods: 1-4, 12-18, 24-26, and 52 weeks. In the five trials included both 24-26 and 52 weeks of follow-up, we compared the efficacy by the placebo-subtracted difference and changes in SGLT2i groups.

RESULTS

Fifteen trials including 7109 participants were analyzed. The combination of SGLT2i and insulin improved hemoglobin A1c (HbA1c), fasting plasma glucose (FPG), daily insulin dose, body weight, and blood pressure, which varied greatly by different follow-ups. Compared with %HbA1c at 24-26 weeks, placebo-subtracted differences and changes in the SGLT2i groups slightly increased. SGLT2i plus insulin treatment showed no difference in the occurrence of urinary tract infections (UTIs), hypoglycemia, or severe hypoglycemia but increased the risk of genital tract infections (GTIs) in a duration-dependent manner. SGLT2i treatment was associated with a significantly higher rate of ketone-related SAEs and diabetic ketoacidosis (DKA) at 52 weeks.

CONCLUSION

SGLT2i as an add-on therapy to insulin improved glycemic control and body weight and decreased the required dose of insulin without increasing the risk of hypoglycemia. However, after 6 months the benefits of SGLT2is on glycemic control may weaken and the risks of GTIs and DKA increased.

A method for assessing robustness of the results of a star-shaped network meta-analysis under the unidentifiable consistency assumption

BACKGROUND

In a star-shaped network, pairwise comparisons link treatments with a reference treatment (often placebo or standard care), but not with each other. Thus, comparisons between non-reference treatments rely on indirect evidence, and are based on the unidentifiable consistency assumption, limiting the reliability of the results. We suggest a method of performing a sensitivity analysis through data imputation to assess the robustness of results with an unknown degree of inconsistency.

METHODS

The method involves imputation of data for randomized controlled trials comparing non-reference treatments, to produce a complete network. The imputed data simulate a situation that would allow mixed treatment comparison, with a statistically acceptable extent of inconsistency. By comparing the agreement between the results obtained from the original star-shaped network meta-analysis and the results after incorporating the imputed data, the robustness of the results of the original star-shaped network meta-analysis can be quantified and assessed. To illustrate this method, we applied it to two real datasets and some simulated datasets.

RESULTS

Applying the method to the star-shaped network formed by discarding all comparisons between non-reference treatments from a real complete network, 33% of the results from the analysis incorporating imputed data under acceptable inconsistency indicated that the treatment ranking would be different from the ranking obtained from the star-shaped network. Through a simulation study, we demonstrated the sensitivity of the results after data imputation for a star-shaped network with different levels of within- and between-study variability. An extended usability of the method was also demonstrated by another example where some head-to-head comparisons were incorporated.

CONCLUSIONS

Our method will serve as a practical technique to assess the reliability of results from a star-shaped network meta-analysis under the unverifiable consistency assumption.

Use of incretin-based medications: what do current international recommendations suggest with respect to GLP-1 receptor agonists and DPP-4 inhibitors?

In recent years guidelines for the treatment of type 2 diabetes (T2DM) have evolved substantially. Initially limited to a few glucose lowering agents, early guidelines predicated strict glycemic control as a main goal in the attempt to reduce the risk of long-term diabetic complications. Nowadays, guidelines are not limited to such a goal but include cardiovascular (and renal) protection. This rapid evolution was made possible by the introduction of new glucose lowering agents, which have been extensively tested in randomized clinical studies including large cardiovascular outcome trials (CVOTs). In this review we will specifically consider the use of incretin-based medications in T2DM as recommended in the recent ADA/EASD consensus, and other international guidelines, with special consideration of their glucose-lowering efficacy, their cardiovascular (and renal) benefit, their effect on body weight and risk of hypoglycemia, as well as the economic implications for their use.

Conducting and interpreting results of network meta-analyses in type 2 diabetes mellitus: A review of network meta-analyses that include sodium glucose co-transporter 2 inhibitors

AIMS

Network meta-analyses (NMAs) are valuable ways to generate comparative effectiveness data for therapies available to treat type 2 diabetes mellitus (T2DM). This review assesses NMAs that evaluate sodium glucose co-transporter 2 (SGLT2) inhibitors for treatment of T2DM and discusses potential issues in conducting and interpreting NMAs.

METHODS

A systematic literature search was conducted on September 13, 2018 using the search terms "network meta-analysis," "SGLT2," variations of these terms, and individual SGLT2 inhibitor names. Extracted data included NMA objectives, methods, target populations, treatments, study endpoints, length of follow-up, and funding. Differences between NMAs were investigated.

RESULTS

Thirty-five full-length publications met criteria for inclusion. In most NMAs, the target population was defined by therapeutic regimen (e.g., combination with metformin). Follow-up intervals permitted in NMAs varied considerably (range, 4-208 weeks). Twenty-nine NMAs included dapagliflozin, 28 evaluated canagliflozin, and 27 evaluated empagliflozin. Nine NMAs used frequentist methods; 16 used Bayesian methods. Six NMAs were funded by pharmaceutical manufacturers. Heterogeneity across NMAs was seen in scope, time frame, and other aspects of analytic design.

CONCLUSIONS

Although this review indicates that methodological guidelines for reporting NMAs were generally followed, it also emphasizes the need for T2DM-specific guidance requiring clear reporting of NMA scope and objectives to aid appropriate interpretation and use of NMA results.