Trends in antidiabetes medication use among hospitalised patients with type 2 diabetes: a retrospective single-centre cohort study.

OBJECTIVES: Novel antidiabetes medications with proven cardiovascular or renal benefit, such as sodium-glucose cotransporter-2 inhibitors (SGLT-2i) and glucagon-like peptide 1 receptor agonists (GLP-1 RA), have been introduced to the market. This study explored the 4-year trends of antidiabetes medication use among medical hospitalisations with type 2 diabetes (T2D). DESIGN: Retrospective cohort study. SETTING: Tertiary care hospital in Switzerland. PARTICIPANTS: 4695 adult hospitalisations with T2D and prevalent or incident use of one of the following antidiabetes medications (metformin, dipeptidyl peptidase-4 inhibitors (DPP-4i), sulfonylureas, GLP-1 RA, SGLT-2i, short-acting insulin or long-acting insulin), identified using electronic health record data. Quarterly trends in use of antidiabetes medications were plotted overall and stratified by cardiovascular disease (CVD) and chronic kidney disease (CKD). RESULTS: We observed a stable trend in the proportion of hospitalisations with T2D who received any antidiabetes medication (from 77.6% during 2019 to 78% in 2022; p for trend=0.97). In prevalent users, the largest increase in use was found for SGLT-2i (from 7.4% in 2019 to 21.8% in 2022; p for trend <0.01), the strongest decrease was observed for sulfonylureas (from 11.4% in 2019 to 7.2% in 2022; p for trend <0.01). Among incident users, SGLT-2i were the most frequently newly prescribed antidiabetes medication with an increase from 26% in 2019 to 56.1% in 2022 (p for trend <0.01). Between hospital admission and discharge, SGLT-2i also accounted for the largest increase in prescriptions (+5.1%; p<0.01). CONCLUSIONS: These real-world data from 2019 to 2022 demonstrate a significant shift in antidiabetes medications within the in-hospital setting, with decreased use of sulfonylureas and increased prescriptions of SGLT-2i, especially in hospitalisations with CVD or CKD. This trend aligns with international guidelines and indicates swift adaptation by healthcare providers, signalling a move towards more effective diabetes management.

[Expert consensus on stroke prevention and blood glucose management in patients with type 2 diabetes].

Abnormal glucose metabolism is closely related to stroke and has adverse effects on the occurrence, development, and prognosis of stroke. Ideal glycemic control is of great significance in improving the prognosis of stroke. Some hypoglycemic drugs can reduce the risk of stroke occurrence and recurrence in patients with type 2 diabetes. Furthermore, such patients with stroke should strengthen their blood pressure and blood lipid control and use antiplatelet drugs reasonably. The expert consensus group finally established this consensus after discussions pertaining to evidence-based medicine and clinical practice, with the aim to provide a reference for clinical practice.

Role of gut-liver axis and glucagon-like peptide-1 receptor agonists in the treatment of metabolic dysfunction-associated fatty liver disease.

Metabolic dysfunction-associated fatty liver disease (MAFLD) is a hepatic manifestation of the metabolic syndrome. It is one of the most common liver diseases worldwide and shows increasing prevalence rates in most countries. MAFLD is a progressive disease with the most severe cases presenting as advanced fibrosis or cirrhosis with an increased risk of hepatocellular carcinoma. Gut microbiota play a significant role in the pathogenesis and progression of MAFLD by disrupting the gut-liver axis. The mechanisms involved in maintaining gut-liver axis homeostasis are complex. One critical aspect involves preserving an appropriate intestinal barrier permeability and levels of intestinal lumen metabolites to ensure gut-liver axis functionality. An increase in intestinal barrier permeability induces metabolic endotoxemia that leads to steatohepatitis. Moreover, alterations in the absorption of various metabolites can affect liver metabolism and induce liver steatosis and fibrosis. Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) are a class of drugs developed for the treatment of type 2 diabetes mellitus. They are also commonly used to combat obesity and have been proven to be effective in reversing hepatic steatosis. The mechanisms reported to be involved in this effect include an improved regulation of glycemia, reduced lipid synthesis, ß-oxidation of free fatty acids, and induction of autophagy in hepatic cells. Recently, multiple peptide receptor agonists have been introduced and are expected to increase the effectiveness of the treatment. A modulation of gut microbiota has also been observed with the use of these drugs that may contribute to the amelioration of MAFLD. This review presents the current understanding of the role of the gut-liver axis in the development of MAFLD and use of members of the GLP-1 RA family as pleiotropic agents in the treatment of MAFLD.

Glycemic variability through the perspective of the glycemia risk index and time in range and their association with glycated hemoglobin A1c in pediatric patients on sensor-augmented pump therapy.

Introduction: From the introduction of continuous glucose monitoring (CGM) in treatments of type 1 diabetes, particularly its integration with insulin pumps, there has been a quest for new parameters that describe optimal glycemic control. As of the consensus reached in 2019, the ambulatory glucose profile (AGP) has become the standard, with time in range (TIR) emerging as a fundamental parameter for metabolic control assessment. However, with technological advancements, new parameters, such as the glycemia risk index (GRI), have been introduced and clinically utilized. Therefore, exploring the relationships between traditional and novel parameters to understand metabolic control comprehensively is imperative. Materials and methods: This study was conducted at the Pediatric Clinic of the University Hospital of the Republic of Srpska Banja Luka between January and July 2023. The participants were randomly selected, with the inclusion criteria specifying an age greater than eight years and a diabetes type 1 duration exceeding two years. All participants were required to use a sensor-augmented insulin pump for the next three months (90 days), irrespective of prior use, with the suspend-before-low option activated. Results: Of the 35 participants, 30 completed the study, 14 (46.7%) of whom were male. The mean age of the subjects was 14.90 ± 2.88 years, and the mean duration of diabetes was 7.83 ± 4.76 years. Over the 90-day period, HbA1c increased to an average of 7.31%. The analysis revealed significant effects of TIR (ß=-0.771) and GRI (ß=0.651) on HbA1c. Furthermore, GRI and TIR strongly correlated (ß=-0.953). Discussion and conclusion: New parameters generated from the ambulatory glucose profile (AGP) can help clinicians create a complete picture of a patient's metabolic control in relation to HbA1c levels. Additionally, the GRI is a mathematically tailored parameter that incorporates all components of the ambulatory glucose profile and demonstrates strong correlations with laboratory-measured HbA1c and TIR. The GRI potentially can become a valuable statistical parameter for evaluating and managing patients in routine clinical practice.

The real-world observational prospective study of health outcomes with dulaglutide and liraglutide in type 2 diabetes patients (TROPHIES): resource use and costs of treatment in clinical practice in France, Germany, and Italy.

AIMS: To describe healthcare resource utilization (HCRU) and associated costs after initiation of injectable glucagon-like peptide-1 receptor agonist (GLP-1 RA) therapy by adult patients with type 2 diabetes (T2D) in the prospective, observational, 24-month TROPHIES study in France, Germany, and Italy. MATERIALS AND METHODS: HCRU data for cost calculations were collected by treating physicians during patient interviews at baseline and follow-up visits approximately 6, 12, 18, and 24 months after GLP-1 RA initiation with once-weekly dulaglutide or once-daily liraglutide. Costs were evaluated from the national healthcare system (third-party payer) perspective and updated to 2018 prices. RESULTS: In total, 2,005 patients were eligible for the HCRU analysis (1,014 dulaglutide; 991 liraglutide). Baseline patient characteristics were generally similar between treatment groups and countries. The largest proportions of patients using ≥2 oral glucose-lowering medications (GLMs) at baseline (42.9-43.4%) and month 24 (44.0-45.1%) and using another injectable GLM at month 24 (15.3-23.2%) were in France. Mean numbers of primary and secondary healthcare contacts during each assessment period were highest in France (range = 4.0-10.7) and Germany (range = 2.9-5.7), respectively. The greatest proportions (≥60%) of mean annualized costs per patient comprised medication costs. Mean annualized HCRU costs per patient varied by treatment cohort and country: the highest levels were in the liraglutide cohort in France (€909) and the dulaglutide cohort in Germany (€883). LIMITATIONS: Limitations included exclusion of patients using insulin at GLP-1 RA initiation and collection of HCRU data by physician, not via patient-completed diaries. CONCLUSIONS: Real-world HCRU and costs associated with the treatment of adults with T2D with two GLP-1 RAs in TROPHIES emphasize the need to avoid generalization with respect to HCRU and costs associated with a particular therapy when estimating the impact of a new treatment in a country-specific setting.

Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) have become frequent treatments of hyperglycemia in type-2 diabetes (T2D). Not all types of clinical study provide information about the cost of these treatments or the effects they might have on use of other medicines and equipment to control T2D or the need for visits to a doctor or nurse and different types of treatment in hospital. This study collected this information during the regular care of adults in France, Germany, or Italy who were prescribed either dulaglutide or liraglutide (both types of GLP-1 RAs) by their family doctor or a specialist in T2D. There were differences in costs and the need for other medicines and medical services between people using either dulaglutide or liraglutide and for people who were using the same GLP-1 RA in each of the three countries. The information from this study could be used to more accurately understand the overall costs and medical care needed when patients use dulaglutide or liraglutide in France, Germany, or Italy.

An automatic deep reinforcement learning bolus calculator for automated insulin delivery systems.

In hybrid automatic insulin delivery (HAID) systems, meal disturbance is compensated by feedforward control, which requires the announcement of the meal by the patient with type 1 diabetes (DM1) to achieve the desired glycemic control performance. The calculation of insulin bolus in the HAID system is based on the amount of carbohydrates (CHO) in the meal and patient-specific parameters, i.e. carbohydrate-to-insulin ratio (CR) and insulin sensitivity-related correction factor (CF). The estimation of CHO in a meal is prone to errors and is burdensome for patients. This study proposes a fully automatic insulin delivery (FAID) system that eliminates patient intervention by compensating for unannounced meals. This study exploits the deep reinforcement learning (DRL) algorithm to calculate insulin bolus for unannounced meals without utilizing the information on CHO content. The DRL bolus calculator is integrated with a closed-loop controller and a meal detector (both previously developed by our group) to implement the FAID system. An adult cohort of 68 virtual patients based on the modified UVa/Padova simulator was used for in-silico trials. The percentage of the overall duration spent in the target range of 70-180 mg/dL was 71.2 % and 76.2 % , < 70 mg/dL was 0.9 % and 0.1 % , and > 180 mg/dL was 26.7 % and 21.1 % , respectively, for the FAID system and HAID system utilizing a standard bolus calculator (SBC) including CHO misestimation. The proposed algorithm can be exploited to realize FAID systems in the future.

Long-term comparison of renal and metabolic outcomes after sodium-glucose co-transporter 2 inhibitor or glucagon-like peptide-1 receptor agonist therapy in type 2 diabetes.

BACKGROUND: Renal outcomes in patients with type 2 diabetes following treatment with sodium-glucose co-transporter-2 inhibitors (SGLT2is) or glucagon-like peptide-1 receptor agonists (GLP1RAs) have not been directly compared. This study compared the impact of SGLT2i and GLP1RA therapy on renal function and metabolic parameters. METHODS: Patients with type 2 diabetes who initiated SGLT2i or GLP1RA therapy in a tertiary hospital between January 2009 and August 2023 were included to assess composite renal outcomes, such as a 40% decline in estimated glomerular filtration rate (eGFR), onset of end-stage renal disease, renal death, or new-onset macroalbuminuria. Alterations in blood pressure, glucose regulation parameters, lipid profile, and anthropometric parameters, including body fat and muscle masses, were examined over 4-years. RESULTS: A total of 2,112 patients were enrolled using a one-to-three propensity-score matching approach (528 patients for GLP1RAs, 1,584 patients for SGLT2i). SGLT2i treatment was favoured over GLP1RA treatment, though not significantly, for composite renal outcomes (hazard ratio [HR], 0.63; p = 0.097). SGLT2i therapy preserved renal function effectively than GLP1RAs (decrease in eGFR, ≥ 40%; HR, 0.46; p = 0.023), with improving albuminuria regression (HR, 1.72; p = 0.036). SGLT2i therapy decreased blood pressure and body weight to a greater extent. However, more patients attained HbA1c levels < 7.0% with GLP1RAs than with SGLT2is (40.6% vs 31.4%; p < 0.001). GLP1RA therapy enhanced ß-cell function and decreased LDL-cholesterol levels below baseline values. CONCLUSIONS: SGLT2is were superior for preserving renal function and reducing body weight, whereas GLP1RAs were better for managing glucose dysregulation and dyslipidaemia.

Metformin modifies plasma microbial-derived extracellular vesicles in polycystic ovary syndrome with insulin resistance.

INTRODUCTION: This study investigated changes in plasma microbial-derived extracellular vesicles (EVs) in patients with polycystic ovary syndrome and insulin resistance (PCOS-IR) before and after metformin treatment, and aimed to identify bacterial taxa within EVs that were biologically and statistically significant for diagnosis and treatment. METHODS: The case-control study was conducted at Xiamen Chang Gung Hospital, Hua Qiao University. Plasma samples were collected from five PCOS-IR patients of childbearing age before and after 3 months of metformin treatment, and the samples were sequenced. The diversity and taxonomic composition of different microbial communities were analyzed through full-length 16 S glycosomal RNA gene sequencing. RESULTS: After metformin treatment, fasting plasma glucose levels and IR degree of PCOS-IR patients were significantly improved. The 16 S analysis of plasma EVs from metformin-treated patients showed higher microbial diversity. There were significant differences in EVs derived from some environmental bacteria before and after metformin treatment. Notably, Streptococcus salivarius was more abundant in the metformin-treated group, suggesting it may be a potential probiotic. DISCUSSION: The study demonstrated changes in the microbial composition of plasma EVs before and after metformin treatment. The findings may offer new insights into the pathogenesis of PCOS-IR and provide new avenues for research.

Efficacy of advanced hybrid closed loop systems in cystic fibrosis related diabetes: a pilot study.

Background and aims: Cystic fibrosis related diabetes (CFRD) is correlated with worsening of nutritional status and greater deterioration of lung function. The role of new technologies for the treatment of CFRD is little explored. The aim of the study was to evaluate the efficacy of Advanced Hybrid Closed Loop (AHCL) systems on glycemic control in CF patients. Methods: A single-center retrospective study on CFRD patients using AHCL systems was performed. Glycated hemoglobin (HbA1c) values and Continuous Glucose Monitoring (CGM) metrics were collected at T0 (AHCL placement), T1 (1-month), T2 (6-months) and T3 (1-year) to evaluate glycemic control. Results: 10 patients were included in the study. Data showed a reduction of HbA1c value (7.31 ± 0.34 to 6.35 ± 1.00; p=0.03), glycemic variability (p=0.05) and insulin requirement (p=0.03). The study population reached American Diabetes Association (ADA) recommended glycemic targets at 1-year. An increase in the Time in Range (TIR) and a reduction in time in hyperglycemia were also observed, although not statistically significant. Conclusions: In patients with CFRD, the use of AHCL leads to an improvement in glycemic control in terms of HbA1c and glycemic variability. The increase in TIR and the reduction of time in hyperglycemia, although not statistically significant, are extremely encouraging from a clinical point of view. Further studies with a larger population and a longer follow-up are needed. The results of this study demonstrate the importance of proposing the use of AHCL even in CF patients, who could benefit from glycemic improvement also in terms of nutritional status and respiratory function.

Effect of metformin on gut microbiota imbalance in patients with T2DM, and the value of probiotic supplementation.

PURPOSE: To investigate the effect of metformin on gut microbiota imbalance in patients with type 2 diabetes mellitus (T2DM), and the value of probiotic supplementation. METHODS: A total of 84 newly diagnosed T2DM patients were randomly divided into probiotics group, metformin group, and control group, with 28 patients in each group. The blood glucose control, islet function, gut microbiota, and inflammatory factors were compared between three groups. RESULTS: After 3 months of treatment, fasting plasma glucose (FPG), 2-h postprandial plasma glucose (2-h PG), and glycosylated hemoglobin A1c (HbA1c) were evidently decreased in both probiotics and metformin groups (P < 0.05) and were lower than that in the control group prior to treatment. Besides, FPG, 2-h PG, and HbA1c were lower in the metformin group than that in the control group. FPG, 2-h PG, and HbA1c were further lower in the probiotic group than in the metformin group (P < 0.05). Fasting insulin (FINS) and islet ß cell (HOMA-ß) -function were dramatically increased in the same group (P < 0.05), while insulin-resistant islet ß cells (HOMA-IR) were significantly lower in the same group (P < 0.05); FINS and HOMA-ß were significantly higher, while HOMA-IR was significantly lower (P < 0.05) in both groups than in the control group prior to treatment. HOMA-IR was also lower in the probiotic group than in the metformin group after treatment (P < 0.05); the number of lactobacilli and bifidobacteria increased (P < 0.05) in both probiotic and metformin groups than in the control group prior to treatment, and the number of Enterobacteriaceae and Enterococcus was lower in the control group prior to treatment (P < 0.05). In addition, the number of lactobacilli and bifidobacteria was higher and the number of enterobacteria and enterococci was lower in the probiotic group than that in the metformin group after treatment, and the differences were statistically significant (P < 0.05). Lipopolysaccharide (LPS), interleukin 6 (IL-6), and C-reactive protein (CRP) levels were lower in both probiotic and metformin groups (P < 0.05). The serum LPS, IL-6, and CRP levels were lower in both probiotic and metformin groups, compared to the control group prior to the treatment (P < 0.05). CONCLUSION: Metformin while treating T2DM assists in improving the imbalance of gut microbiota.

Medicinal Potential of the Giant Puffball Mushroom Calvatia gigantea (Agaricomycetes): A Review.

Calvatia gigantea, commonly known as the giant puffball mushroom, has traditionally been regarded as a significant edible and medicinal species due to its wide spectrum of bioactive compounds and its health-promoting properties. This study aims to systematize the knowledge on the nutritional value and therapeutic potential of C. gigantea, highlighting its role in traditional and contemporary medicine. The mushroom is recognized for its nutritional content, including easily digestible protein, carbohydrates, fiber, phenolic compounds, vitamins, and minerals, while being low in calories, cholesterol, and sodium. Furthermore, C. gigantea exhibits a range of biological effects, such as antioxidant, anticancer, antimicrobial, antidiabetic, and wound-healing properties, attributed to its diverse chemical composition that includes unsaturated fatty acids, free amino acids, polysaccharides, and bioactive metabolites.

Trends in the representation of specialties caring for patients with diabetes in the Czech Republic.

The increasing prevalence of diabetes mellitus (DM) leads to the differentiation of the registration of diabetics in individual specialties. Objective of this paper was the evaluation of changes in the representation of expertise providing care for patients with DM (pDM) in the Czech Republic, based on data analysis from the National Register of Paid Health Services (NRHZS) 2010-2021. In the entire pDM group, the number of patients treated by a diabetologist (DIA) increased from 491,490 (57.0 %) to 537,430 (50.4 %), with a general practitioner (GP) from 27,719 (3.2 %) to 181,330 (17.0 %) and by internist (INT) from 172,918 (20.0 %) to 161,291 (15.1 %). In 2021, 57.9 % DIA, 17 % GP, 12.2 % INT were treated from the group treated with antidiabetics (813,873). In 2021, 84,345 were treated with insulin alone (87.2 % DIA), 129,127 were treated with a combination of insulin and non-insulin antidiabetics; 115,604 (91.6 %) in DIA, 322 (0.3 %) in GP and 7,983 (6.3 %) in INT. 603,331 treated only with non-insulin antidiabetic drugs, of which 281,929 (46.7 %) DIA, 137,744 (22.8 %) GP and 85,273 (14.1 %) INT. For other specialties, 98,385 (16.3 %) persons. 185,838 patients without reported DIA/GP/INT control, of which 80,144 without therapy. The increasing prevalence of DM and changes in reimbursement conditions are reflected in the dynamic development of the distribution of diabetes care by individual specialties.

Study of the antidiabetic mechanism of berberine compound on FOXO1 transcription factor through molecular docking and molecular dynamics simulations.

CONTEXT: Diabetes mellitus (DM) is a metabolic disorder disease that causes hyperglycemia conditions and associated with various chronic complications leading to mortality. Due to high toxicity of conventional diabetic drugs, the exploration of natural compounds as alternative diabetes treatments has been widely carried out. Previous in silico studies have highlighted berberine, a natural compound, as a promising alternative in antidiabetic therapy, potentially acting through various pathways, including the inhibition of the FOXO1 transcription factor in the gluconeogenesis pathway. However, the specific mechanism by which berberine interacts with FOXO1 remains unclear, and research in this area is relatively limited. Therefore, this study aims to determine the stability of berberine structure with FOXO1 based on RMSD, RMSF, binding energy, and trajectory analysis to determine the potential of berberine to inhibit the gluconeogenesis pathway. This research was conducted by in silico method with molecular docking using AutoDock4.2 and molecular dynamics study using Amber20, then visualized by VMD. METHODS: Docking between ligand and FOXO1 receptor was carried out with Autodock4.2. For molecular dynamics simulations, the force fields of DNA.OL15, protein.ff14SB, gaff2, and tip3p were used.

A comparative study of in vivo toxicity in zebrafish embryos synthesized CuO nanoparticles characterized from Salacia reticulata.

The Salacia reticulata, a medicinal woody climbing shrub, was utilized for our study, the green synthesis of CuO nanoparticles, which were analyzed through SEM, EDX, FTIR, XRD, and UV‒Vis spectroscopy. This study assessed the toxicity to zebrafish embryos and explored the antibacterial, cytotoxic, antidiabetic, and anti-inflammatory properties of the synthesized nanoparticles. In results, the UV absorption of the CuO NPs showed that the intensity of nanoparticle green colloidal suspension changed from blue to green, which also confirmed that the spectrum of the green CuO NPs changed from colorless to black. in FT-IR and XRD spectral analysis to identify functional groups and determine the particle size of CuO NPs prepared by green and chemical methods. Its showed that CuO NPs (green) had a size of approximately 42.2 nm, while CuO NPs (chemical) had a size of approximately 84 nm. The morphology of these NPs was analyzed using SEM-EDX. Compared with their chemically prepared counterparts, the green-synthesized CuO nanoparticles demonstrated superior dispersion. Additionally, both green and chemical CuO nanoparticles at a concentration of 200 µL/mL caused developmental anomalies and increased mortality in zebrafish embryos and larvae. The green and chemical CuO NPs inhibited α-glucosidase enzyme activity at concentrations between 10 and 50 µL/mL, with IC50 values of 22 µL/mL and 26 µL/mL, respectively. The extract exhibited anti-inflammatory activity, with IC50 values of 274 and 109 µL/mL. The authors concluded that this green nanoparticle method has potential as a more eco-friendly and cost-effective alternative to traditional synthetic methods. NPs are widely used in human contact fields (medicine and agriculture), hence synthesis methods that do not involve toxic substances are becoming increasingly important.

Binding sites and design strategies for small molecule GLP-1R agonists.

Glucagon-like peptide-1 receptor (GLP-1R) is a pivotal receptor involved in blood glucose regulation and influencing feeding behavior. It has received significant attention in the treatment of obesity and diabetes due to its potent incretin effect. Peptide GLP-1 receptor agonists (GLP-1RAs) have achieved tremendous success in the market, driving the vigorous development of small molecule GLP-1RAs. Currently, several small molecules have entered the clinical research stage. Additionally, recent discoveries of GLP-1R positive allosteric modulators (PAMs) are also unveiling new regulatory patterns and treatment methods. This article reviews the structure and functional mechanisms of GLP-1R, recent reports on small molecule GLP-1RAs and PAMs, as well as the optimization process. Furthermore, it combines computer simulations to analyze structure-activity relationships (SAR) studies, providing a foundation for exploring new strategies for designing small molecule GLP-1RAs.

The Association between GLP-1 Receptor-Based Agonists and the Incidence of Asthma in Patients with Type 2 Diabetes and/or Obesity: A Meta-Analysis.

Objective: Recent studies have indicated potential anti-inflammatory effects of glucagon-like peptide-1 receptor agonists (GLP-1RAs) on asthma, which is often comorbid with type 2 diabetes mellitus (T2DM) and obesity. Therefore, we conducted a meta-analysis to assess the association between the administration of glucagon-like peptide-1 (GLP-1) receptor-based agonists and the incidence of asthma in patients with T2DM and/or obesity. Methods: PubMed, Web of Science, Embase, the Cochrane Central Register of Controlled Trials, and Clinicaltrial.gov were systematically searched from inception to July 2023. Randomized controlled trials (RCTs) of GLP-1 receptor-based agonists (GLP-1RA, GLP-1 based dual and triple receptor agonist) with reports of asthma events were included. Outcomes were computed as risk ratios ( RR) using a fixed-effects model. Results: Overall, 39 RCTs with a total of 85,755 participants were included. Compared to non-GLP-1 receptor-based agonist users, a trend of reduced risk of asthma was observed in patients with T2DM or obesity using GLP-1 receptor-based agonist treatments, although the difference was not statistically significant [ RR = 0.91, 95% confidence interval ( CI): 0.68 to 1.24]. Further Subgroup analyses indicated that the use of light-molecular-weight GLP-1RAs might be associated with a reduced the risk of asthma when compared with non-users ( RR = 0.65, 95% CI: 0.43 to 0.99, P = 0.043). We also performed sensitivity analyses for participant characteristics, study design, drug structure, duration of action, and drug subtypes. However, no significant associations were observed. Conclusion: Compared with non-users, a modest reduction in the incidence of asthma was observed in patients with T2DM or obesity using GLP-1 receptor-based agonist treatments. Further investigations are warranted to assess the association between GLP-1 receptor-based agonists and the risk of asthma.