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Efficacy and safety of liraglutide in type 2 diabetes mellitus patients complicated with coronary artery disease: A systematic review and meta-analysis of randomized controlled trials.
Wang, L, Xin, Q, Wang, Y, Chen, Z, Yuan, R, Miao, Y, Zhang, G, Cong, W
Pharmacological research. 2021;:105765
Abstract
To evaluate the efficacy and safety of liraglutide in patients with Type 2 Diabetes Mellitus (T2DM) complicated with Coronary Artery Disease (CAD), we searched PubMed, Cochrane Library, Embase, China National Knowledge Infrastructure (CNKI), Chinese VIP Information (VIP), Wanfang Database and Chinese Biomedical Literature database (CBM) for relevant randomized controlled trials (RCTs) from inception to 7 October 2020. A total of 18 RCTs including 1557 patients with T2DM complicated with CAD were included. Meta-analysis revealed liraglutide reduced hemoglobin A1c (HbA1c) (WMD = -0.67; 95% CI[-0.94 to -0.39]; P < 0.00001), fasting plasma glucose (FPG) (WMD = -0.80; 95% CI[-1.06 to -0.54]; P < 0.00001) and 2 h plasma glucose (2hPG) (WMD = -1.64; 95% CI[-2.12 to -1.16]; P<0.00001); improved left ventricular ejection fraction(LVEF) (WMD = 4.79; 95% CI[4.08-5.51]; P < 0.00001), left ventricular end-diastolic diameter (LVEDD) (WMD = -5.70; 95% CI[-6.67 to -4.72]; P<0.00001), E/A (WMD = 0.13; 95% CI[0.11-0.14]; P < 0.00001) and left ventricular posterior wall thickness (LVPWT) (WMD = -1.86; 95% CI[-2.16 to -1.55]; P < 0.00001); reduced total cholesterol (TC) (WMD = -0.48; 95% CI[-0.56 to -0.39]; P < 0.00001), triglycerides (TG) (WMD = -0.42; 95% CI[-0.59 to -0.26]; P < 0.00001), low-density lipoprotein cholesterol (LDL-C) (WMD = -0.41; 95% CI[-0.55 to -0.26]; P < 0.00001), and increased high-density lipoprotein cholesterol (HDL-C) (WMD = -0.19; 95% CI[0.13-0.24]; P = 0.0005). As for safety assessment, liraglutide did not increase the incidence of hypoglycemia (OR = 0.75, 95% CI[0.32-1.77], P = 0.51) and gastrointestinal (OR = 1.15, 95% CI[0.72-1.85], P = 0.55) events. Consequently, liraglutide had favorable effects on blood glucose, cardiac function, lipid profile and an acceptable safety profile.
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Oral Nano Drug Delivery Systems for the Treatment of Type 2 Diabetes Mellitus: An Available Administration Strategy for Antidiabetic Phytocompounds.
Nie, X, Chen, Z, Pang, L, Wang, L, Jiang, H, Chen, Y, Zhang, Z, Fu, C, Ren, B, Zhang, J
International journal of nanomedicine. 2020;:10215-10240
Abstract
In view of the worldwide serious health threat of type 2 diabetes mellitus (T2DM), natural sources of chemotherapies have been corroborated as the promising alternatives, with the excellent antidiabetic activities, bio-safety, and more cost-effective properties. However, their clinical application is somewhat limited, because of the poor solubility, instability in the gastrointestinal tract (GIT), low bioavailability, and so on. Nowadays, to develop nanoscaled systems has become a prominent strategy to improve the drug delivery of phytochemicals. In this review, we primarily summarized the intervention mechanisms of phytocompounds against T2DM and presented the recent advances in various nanosystems of antidiabetic phytocompounds. Selected nanosystems were grouped depending on their classification and structures, including polymeric NPs, lipid-based nanosystems, vesicular systems, inorganic nanocarriers, and so on. Based on this review, the state-of-the-art nanosystems for phytocompounds in T2DM treatment have been presented, suggesting the preponderance and potential of nanotechnologies.
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Identification of type 2 diabetes loci in 433,540 East Asian individuals.
Spracklen, CN, Horikoshi, M, Kim, YJ, Lin, K, Bragg, F, Moon, S, Suzuki, K, Tam, CHT, Tabara, Y, Kwak, SH, et al
Nature. 2020;(7811):240-245
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Abstract
Meta-analyses of genome-wide association studies (GWAS) have identified more than 240 loci that are associated with type 2 diabetes (T2D)1,2; however, most of these loci have been identified in analyses of individuals with European ancestry. Here, to examine T2D risk in East Asian individuals, we carried out a meta-analysis of GWAS data from 77,418 individuals with T2D and 356,122 healthy control individuals. In the main analysis, we identified 301 distinct association signals at 183 loci, and across T2D association models with and without consideration of body mass index and sex, we identified 61 loci that are newly implicated in predisposition to T2D. Common variants associated with T2D in both East Asian and European populations exhibited strongly correlated effect sizes. Previously undescribed associations include signals in or near GDAP1, PTF1A, SIX3, ALDH2, a microRNA cluster, and genes that affect the differentiation of muscle and adipose cells3. At another locus, expression quantitative trait loci at two overlapping T2D signals affect two genes-NKX6-3 and ANK1-in different tissues4-6. Association studies in diverse populations identify additional loci and elucidate disease-associated genes, biology, and pathways.
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Sodium-Glucose Co-Transporter 2 Inhibitors Compared with Sulfonylureas in Patients with Type 2 Diabetes Inadequately Controlled on Metformin: A Meta-Analysis of Randomized Controlled Trials.
Chen, Z, Li, G
Clinical drug investigation. 2019;(6):521-531
Abstract
BACKGROUND AND OBJECTIVE When metformin is insufficient for patients with type 2 diabetes mellitus (T2DM), the optimal adjunctive therapy is unclear. This meta-analysis was to compare the efficacy and safety of sodium-glucose co-transporter 2 (SGLT2) inhibitors with sulfonylureas (SUs) as second-line therapy in patients with T2DM inadequately controlled on metformin. METHODS We systematically searched PubMed, Embase, Cochrane Central Register of Controlled Trials, and ClinicalTrials.gov for randomized controlled trials comparing SGLT2 inhibitors with SUs as add-on to metformin. Our primary endpoints were glycemic control, hypoglycemia, and change in weight. We assessed pooled data using a random-effects model. RESULTS Five trials involving 4300 participants were included in our meta-analysis. Compared with SUs, SGLT2 inhibitors led to no significant reduction in changes in HbA1c (mean difference [MD] - 0.06; 95% confidence interval [CI] [- 0.12, 0.08]), but less hypoglycemia as add-on to metformin (odds ratio [OR] 0.12; 95% CI [0.07, 0.21]). SGLT2 inhibitors led to a reduction in weight by about 3.5 kg; however, SUs caused a gain in weight by about 1 kg (MD - 4.39; 95% CI [- 4.64, - 4.14]). SGLT2 inhibitors also showed a reduction in blood pressure, but increased the incidence of genital tract infections compared with SUs. Interestingly, subgroup analysis by duration of interventions showed that reduction of HbA1c from baseline was similar between the two groups at 12-52 weeks, but SGLT2 inhibitors led to a greater reduction in HbA1c at 104-208 weeks. CONCLUSIONS Despite similar glycemic efficacy in a relatively short term, SGLT2 inhibitors are more effective in the longer term than SUs as add-on to metformin. In addition, SGLT2 inhibitors produce less hypoglycemic events and lead to greater reductions in weight and blood pressure compared with SUs.
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Meta-analysis of the effect of KCNQ1 gene polymorphism on the risk of type 2 diabetes.
Liu, J, Wang, F, Wu, Y, Huang, X, Sheng, L, Xu, J, Zha, B, Ding, H, Chen, Z, Sun, T
Molecular biology reports. 2013;(5):3557-67
Abstract
The potassium voltage-gated channel, KQT-like subfamily member 1 (KCNQ1) is a member of 11 mammalian Kv channel families that plays a key role for the repolarization of the cardiac action potential as well as water and salt transport. Genome-wide association studies have identified KCNQ1 as a type 2 diabetes (T2D) susceptibility gene in populations of Asian descent. After that, a number of studies reported that the rs2237892, rs2237895, rs2237897, rs2283228, and rs231362 polymorphism in KCNQ1 has been implicated in T2D risk. However, studies on the association between these polymorphism and T2D remain conflicting. To derive a more precise estimation of the relationship, a meta-analysis of 114,140 patients and 167,322 controls from 30 published case-control studies was performed. Overall, significantly elevated T2D risk was associated with rs2237892, rs2237895, rs2237897, rs2283228, and rs231362 risk allele when all studies were pooled into the meta-analysis. In the subgroup analysis by ethnicity, sample size, and Hardy-Weinberg equilibrium status of controls, significantly increased risks were found for these polymorphisms. In conclusion, this meta-analysis suggests that rs2237892, rs2237895, rs2237897, rs2283228, and rs231362 polymorphisms in KCNQ1 are associated with elevated T2D risk.