Analysis of the effect of liraglutide on glycemic variability in patients with type 2 diabetes

Antinociceptive Behavior, Glutamine/Glutamate, and Neopterin in Early-Stage Streptozotocin-Induced Diabetic Neuropathy in Liraglutide-Treated Mice under a Standard or Enriched Environment

Diabetic neuropathy (DN) is a common complication of long-lasting type 1 and type 2 diabetes, with no curative treatment available. Here, we tested the effect of the incretin mimetic liraglutide in DN in mice with early-stage type 1 diabetes bred in a standard laboratory or enriched environment. With a single i.p. injection of streptozotocin 150 mg/kg, we induced murine diabetes. Liraglutide (0.4 mg/kg once daily, i.p. for ten days since the eighth post-streptozotocin day) failed to decrease the glycemia in the diabetic mice; however, it alleviated their antinociceptive behavior, as tested with formalin. The second phase of the formalin test had significantly lower results in liraglutide-treated mice reared in the enriched environment vs. liraglutide-treated mice under standard conditions [2.00 (0.00-11.00) vs. 29.00 (2.25-41.50) s, p = 0.016]. Liraglutide treatment, however, decreased the threshold of reactivity in the von Fray test. A significantly higher neopterin level was demonstrated in the diabetic control group compared to treatment-naïve controls and the liraglutide-treated diabetic mice (p < 0.001). The glutamine/glutamate ratio in both liraglutide-treated groups, either reared under standard conditions (p = 0.003) or an enriched environment (p = 0.002), was significantly higher than in the diabetic controls. This study demonstrates an early liraglutide effect on pain sensation in two streptozotocin-induced diabetes mouse models by reducing some inflammatory and oxidative stress parameters.

Glycemic Variability in Pancreatogenic Diabetes Mellitus: characteristics, Risks, Potential Mechanisms, and Treatment Possibilities

In recent years, pancreatogenic diabetes mellitus has garnered significant attention due to its high incidence, complications, and mortality rates. Glycemic variability (GV) can increase the risk of pancreatogenic diabetes mellitus and its associated complications; however, the precise mechanism remains unclear. The effective control of GV is crucial for preventing the onset of pancreatic diabetes mellitus and improving prognosis. Both diet and antidiabetic medications have substantial effects on GV. However, many patients are prescribed suboptimal or even harmful drugs. Therefore, to provide a comprehensive treatment basis for clinicians to prevent and treat pancreatogenic diabetes mellitus, this study aimed to elucidate the relationship between GV and pancreatogenic diabetes mellitus; investigate the potential mechanisms (such as oxidative stress, inflammatory response, insulin resistance, and lipid metabolism disorders); provide lifestyle guidance; and recommend drug selections to reduce the GV in patients with pancreatogenic diabetes mellitus.

What is Glycaemic Variability and which Pharmacological Treatment Options are Effective? A Narrative Review

Glycated haemoglobin is currently used for diagnosis and follow-up of diabetes mellitus. However, it has important limitations; as it only reflects the average glycaemia over the last 3 months, it does not allow the identification of crucial events, such as episodes of hypoglycaemia and hyperglycaemia. Strict control of hyperglycaemia can result in severe hypoglycaemia that can be life threatening and can have important sequelae. Recently, the concept of glycaemic variability has been developed to provide information about the magnitude of glycaemic excursions and the duration of these fluctuations. This new approach has the potential to improve outcomes, decrease the risk of hypoglycaemia, and decrease cardiovascular risk. This review describes the most commonly prescribed non-insulin anti-diabetic drugs for diabetes management, their mechanism of action, and the existing evidence about their effectiveness in improving glycaemic variability and diabetes control.

Glycaemic variability in patients with type 2 diabetes mellitus treated with dulaglutide, with and without concomitant insulin: Post hoc analyses of randomized clinical trials

AIM

To investigate the association between treatment with dulaglutide and glycaemic variability (GV) in adult patients with type 2 diabetes mellitus (T2D).

MATERIALS AND METHODS

Post hoc analyses of six randomized, phase 3 studies were conducted to investigate the association between treatment with dulaglutide 1.5 mg once weekly and GV in adult patients with T2D. Using data from seven- and eight-point self-monitored plasma glucose (SMPG) profiles over up to 28 weeks of treatment, GV in within- and between-day SMPG, and between-day fasting glucose from SMPG (FSMPG) was assessed according to standard deviation and coefficient of variation.

RESULTS

Pooled data from five studies with dulaglutide as monotherapy or added to oral glucose-lowering medication, without concomitant insulin treatment, revealed clinically meaningful reductions in within- and between-day SMPG, and between-day FSMPG variability from baseline in the dulaglutide group. Comparisons between treatment groups in two studies demonstrated that reductions from baseline in within-day and between-day SMPG, and between-day FSMPG variability were greater for treatment with dulaglutide compared with insulin glargine, as well as for treatment with dulaglutide when added to insulin glargine compared with insulin glargine alone.

CONCLUSIONS

In patients with T2D, treatment with dulaglutide as monotherapy or added to oral glucose-lowering medication, without concomitant insulin treatment, was potentially associated with a reduction in GV. Treatment with dulaglutide was associated with a reduction in GV to a greater degree than insulin glargine. When added to insulin glargine, treatment with dulaglutide was associated with greater decreases in GV compared with insulin glargine alone. As reduced GV may be associated with better outcomes, these findings may have clinical relevance.

Efficacy and Safety of Liraglutide 3.0 mg in Patients with Overweight and Obese with or without Diabetes: A Systematic Review and Meta-Analysis

BACKGROUND

Liraglutide in a 3.0 mg subcutaneous dose daily is approved for weight reduction.

OBJECTIVES

Objectives are to evaluate the efficacy and safety of liraglutide 3.0 mg in patients with overweight and obesity irrespective of diabetic status.

METHODS

We conducted an electronic database search in PubMed, Embase, and https://ClinicalTrial.gov to identify all randomized control trials (RCTs) that evaluated the efficacy and safety of liraglutide 3.0 mg dose compared to placebo in overweight (≥27 kg/m²) and obese (≥30 kg/m²) patients above 18 years of age.

RESULTS

We compared the pooled estimate of the study results between liraglutide 3.0 mg groups and placebo groups both in diabetic and nondiabetic patients. The efficacy outcomes that were found to be significant among respective studies involving nondiabetic patients vs. diabetic patients were mean change in body weight from baseline: 12 studies [MD = -5.04 kg (95% CI = -5.60, -4.49), P < 0.001, I ² = 92.95%] vs. 2 studies [MD = -4.14 kg (95% CI = -4.95, -3.32), P < 0.001, I ² = 0%], reduction in waist circumference from baseline: 8 studies [MD = -3.64 cm (95% CI = -4.43, -2.85), P < 0.001, I ² = 96.5%] vs. 2 studies [MD = -3.11 cm (95% CI = -3.88, -2.34), P < 0.001, I ² = 0%], BMI reduction from baseline: 5 studies [MD = -1.95 kg/m² (95% CI = -2.22, -1.68) vs. 1 study [MD = -1.86 kg/m² (95% CI = -2.14, -1.57), P < 0.001, I ² = 0%, P < 0.001, I ²  = 95.6%], proportion of patients losing more than 5% of weight loss from baseline: 8 studies [RR = 2.21, (95% CI = 1.89, 2.58), P=0.03, I ² = 59.02%] vs. 2 studies [RR = 2.34, (95% CI = 1.93, 2.85), P=0.39, I ² = 0.00%], and 10% weight loss from baseline: 7 studies [RR = 3.36, (95% CI = 1.92, 5.91), P=0.00, I ² = 87.03%] vs. 2 studies [RR = 3.64, (95% CI = 2.46, 5.40), P=0.81, I ² = 0.00%]. Safety outcome assessment with use of liraglutide 3.0 mg compared with placebo in respective nondiabetic vs. diabetic patients revealed significant proportion of patients experiencing the adverse events: 9 studies [RR = 1.11, (95% CI = 1.04, 1.18), P=0.00I ² = 79.15%] vs. 2 studies [RR = 1.06, (95% CI = 1.01, 1.11), P=0.42, I ² = 0.03%] but similar risk of serious adverse events: 9 studies [RR = 1.03, (95% CI = 0.70, 1.51), P=0.26, I ² = 18.54%] vs. 2 studies [RR = 1.11, (95% CI = 0.67, 1.84), P=0.25, I ² = 23.77%] and TDAEs: 4 studies [RR = 0.89, (95% CI = 0.35, 2.28), P=0.03, I ² = 61.89%] vs. 1 study [RR = 2.53, (95% CI = 1.00, 6.37)]. However, the pooled estimates irrespective of the glycaemic status were mean change in body weight from baseline: 14 RCT [MD = -4.91 kg (95% CI = -5.43, -4.39), P < 0.001, I ² = 92.35%], reduction in waist circumference from baseline: 10 studies [MD = -3.55 cm, (95% CI = -4.21, -2.89), P < 0.001, I ² = 94.99%], BMI reduction from baseline: 6 studies [MD = -1.86 kg/m², (95% CI = -2.14, -1.57), P < 0.001, I ² = 96.14%], and proportion of patients losing more than 5% and 10% of weight from baseline: [RR = 2.23, (95% CI = 1.98, 2.52), P < 0.001, I ² = 48.87%] and [RR = 3.28, (95% CI = 2.23, 4.83), P < 0.001, I ² = 78.98%], respectively. Also, the proportion of patients experiencing the adverse event was more with liraglutide 3.0 mg compared with placebo 11 study [RR = 1.09, (95% CI = 1.04, 1.15), P < 0.01, I ² = 76.60%] and similar risk for both serious adverse events: 11 studies [RR = 1.09, (95% CI = 1.04, 1.15), P < 0.01, I ² = 76.60%] and TDAEs: 5 studies [RR = 1.14, (95% CI = 0.50, 2.60), P < 0.01, I ² = 64.93%] with liraglutide compared with placebo.

CONCLUSIONS

Liraglutide in 3.0 mg subcutaneous dose demonstrated significant weight reduction with a reasonable safety profile for patients with overweight or obesity regardless of diabetic status compared to placebo.

To Assess Liraglutide's Therapeutic Effect in Patients with Type 2 Diabetes Mellitus Using Flash Glucose Monitoring System

PURPOSE

Liraglutide, a type of glucagon-like peptide-1 receptor agonist, has significant anti-hyperglycaemic activity without increasing the incidence of hypoglycaemia. In addition, it can improve β-cell function and insulin resistance. The flash glucose monitoring system (FGMS) is a novel method to document consecutive and detailed interstitial glucose levels, further reflecting blood glucose levels. This study aimed to investigate the therapeutic effect of liraglutide on blood glucose management (glucose variability, hyperglycaemia, and the incidence of hypoglycaemia), β-cell function, and insulin resistance in patients with diabetes.

PATIENTS AND METHODS

Thirty-three patients with type 2 diabetes mellitus were recruited in this study. On the basis of metformin monotherapy, these patients received liraglutide add-on treatment for 3 months. The FGMS was used to document glucose levels before and after add-on treatment. Parameters of glucose variability, blood glucose levels at specific time periods, and the incidence of hypoglycaemia were assessed according to FGMS data and compared before and after liraglutide add-on treatment. Further, β-cell function and insulin resistance were assessed and compared before and after liraglutide add-on treatment.

RESULTS

According to FGMS monitoring data, liraglutide add-on treatment significantly improved general, within-day, and day-to-day glucose variability and the glucose-target-rate. Further, the specifically analysed blood glucose levels at different time periods showed that blood glucose levels significantly decreased at nocturnal, fasting, and postprandial periods after add-on treatment. The incidence of hypoglycaemia was comparable during the whole day, daytime, and night-time according to the prespecified cutoffs (3.9 mmol/L and 3.0 mmol/L) before and after add-on treatment. Analysis of other assessed parameters revealed significant differences in glycosylated hemoglobin A1c and fasting blood glucose levels as well as parameters of β-cell function and insulin resistance before and after add-on treatment.

CONCLUSION

In type 2 diabetes mellitus, liraglutide treatment can effectively decrease glucose variability and ameliorate hyperglycaemia without increasing the incidence of hypoglycaemia. In addition, liraglutide can significantly improve the β-cell function and insulin resistance.