scholarly journals The co‐formulation of insulin degludec and insulin aspart lowers fasting plasma glucose and rates of confirmed and nocturnal hypoglycaemia, independent of baseline glycated haemoglobin levels, disease duration or body mass index: A pooled meta‐analysis of phase III studies in patients with type 2 diabetes

2018 ◽  
Vol 20 (7) ◽  
pp. 1585-1592 ◽  
Author(s):  
Martin Haluzík ◽  
Greg Fulcher ◽  
Thomas R. Pieber ◽  
Lars Bardtrum ◽  
Deniz Tutkunkardas ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Body Mass Index ◽  
Disease Duration ◽  
Meta Analysis ◽  
Glycated Haemoglobin ◽  
Insulin Degludec ◽  
Phase Iii ◽  
Nocturnal Hypoglycaemia ◽  
Phase Iii Studies

scholarly journals The Effects of Almonds on Gut Microbiota, Glycometabolism, and Inflammatory Markers in Patients with Type 2 Diabetes: A Systematic Review and Meta-Analysis of Randomised Controlled Trials

Nutrients ◽  
2021 ◽  
Vol 13 (10) ◽  
pp. 3377
Author(s):  
Omorogieva Ojo ◽  
Xiao-Hua Wang ◽  
Osarhumwese Osaretin Ojo ◽  
Amanda Rodrigues Amorim Adegboye
Keyword(s):  
Systematic Review ◽  
Type 2 Diabetes ◽  
Blood Glucose ◽  
Gut Microbiota ◽  
Inflammatory Markers ◽  
Meta Analysis ◽  
Fasting Blood Glucose ◽  
Glycated Haemoglobin ◽  
Postprandial Blood Glucose

The use of nutritional interventions for managing diabetes is one of the effective strategies aimed at reducing the global prevalence of the condition, which is on the rise. Almonds are the most consumed tree nut and they are known to be rich sources of protein, monounsaturated fatty acids, essential minerals, and dietary fibre. Therefore, the aim of this review was to evaluate the effects of almonds on gut microbiota, glycometabolism, and inflammatory parameters in patients with type 2 diabetes. Methods: This systematic review and meta-analysis was carried out according to the preferred reporting items for systematic review and meta-analysis (PRISMA). EBSCOhost, which encompasses the Health Sciences Research Databases; Google Scholar; EMBASE; and the reference lists of articles were searched based on population, intervention, control, outcome, and study (PICOS) framework. Searches were carried out from database inception until 1 August 2021 based on medical subject headings (MesH) and synonyms. The meta-analysis was carried out with the Review Manager (RevMan) 5.3 software. Results: Nine randomised studies were included in the systematic review and eight were used for the meta-analysis. The results would suggest that almond-based diets have significant effects in promoting the growth of short-chain fatty acid (SCFA)-producing gut microbiota. Furthermore, the meta-analysis showed that almond-based diets were effective in significantly lowering (p < 0.05) glycated haemoglobin (HbA1c) levels and body mass index (BMI) in patients with type 2 diabetes. However, it was also found that the effects of almonds were not significant (p > 0.05) in relation to fasting blood glucose, 2 h postprandial blood glucose, inflammatory markers (C-reactive protein and Tumour necrosis factor α, TNF-α), glucagon-like peptide-1 (GLP-1), homeostatic model assessment of insulin resistance (HOMA–IR), and fasting insulin. The biological mechanisms responsible for the outcomes observed in this review in relation to reduction in HbA1c and BMI may be based on the nutrient composition of almonds and the biological effects, including the high fibre content and the low glycaemic index profile. Conclusion: The findings of this systematic review and meta-analysis have shown that almond-based diets may be effective in promoting short-chain fatty acid-producing bacteria and lowering glycated haemoglobin and body mass index in patients with type 2 diabetes compared with control. However, the effects of almonds were not significant (p > 0.05) with respect to fasting blood glucose, 2 h postprandial blood glucose, inflammatory markers (C-reactive protein and TNF-α), GLP-1, HOMA–IR, and fasting insulin.

scholarly journals Anthropometric, Cardiopulmonary and Metabolic Benefits of the High-Intensity Interval Training Versus Moderate, Low-Intensity or Control for Type 2 Diabetes: Systematic Review and Meta-Analysis

2019 ◽  
Vol 16 (22) ◽  
pp. 4524 ◽  
Author(s):  
Lora-Pozo ◽  
Lucena-Anton ◽  
Salazar ◽  
Galán-Mercant ◽  
Moral-Munoz
Keyword(s):  
Type 2 Diabetes ◽  
Body Mass Index ◽  
Body Mass ◽  
High Intensity ◽  
Meta Analysis ◽  
Interval Training ◽  
High Intensity Interval Training ◽  
High Intensity Interval ◽  
Intensity Training

Abstract: This study aims to evaluate the effectiveness of high-intensity interval training compared with no intervention and other types of training interventions for people with Type 2 Diabetes. A systematic review and meta-analysis of randomized controlled trials that used high-interval intensity training to improve anthropometric, cardiopulmonary and metabolic conditions were conducted. The search was performed during October–December 2017 using the databases PubMed, Web of Science and Physiotherapy Evidence Database (PEDro). The methodological quality of the studies was evaluated using the PEDro scale. A total of 10 articles were included in this meta-analysis. After statistical analysis, favorable results were obtained for high-Intensity Interval Training compared with control (non-intervention): [Weight: Standardized mean difference (SMD) = −2.09; confidence interval (CI) 95%: (−3.41; −0.78); body-mass index: SMD = −3.73; CI 95%: (−5.53; −1.93); systolic blood pressure: SMD = −4.55; CI 95%: (−8.44; −0.65); VO2max: SMD = 12.20; CI 95%: (0.26; 24.14); HbA1c: SMD = −3.72; CI 95%: (−7.34; −0.10)], moderate intensity continuous training: [body-mass index: SMD = −0.41; CI 95%: (−0.80; −0.03); VO2max: SMD = 1.91; CI 95%: (0.18; 3.64)], and low intensity training: [Weight: SMD = −2.06; CI 95%: (−2.80; −1.31); body-mass index: SMD = −3.04; CI 95%: (−5.16; −0.92); systolic blood pressure: SMD = −2.17; CI 95%: (−3.93; −0.41); HbA1c: SMD = −1.58; CI 95%: (−1.84; −1.33)]. The results show that high-intensity interval training can be a useful strategy in order to improve anthropometric, cardiopulmonary and metabolic parameters in people with Type 2 diabetes. Despite this, it could be essential to clarify and unify criteria in the intervention protocols, being necessary new lines of research.

scholarly journals Association of miR-146a polymorphism rs2910164 and type 2 diabetes risk: a meta-analysis

2020 ◽  
Vol 48 (8) ◽  
pp. 030006052093131
Author(s):  
Liqing Cheng ◽  
Min Zhou ◽  
Dongmei Zhang ◽  
Bing Chen
Keyword(s):  
Type 2 Diabetes ◽  
Gene Polymorphisms ◽  
Disease Duration ◽  
Genetic Model ◽  
Meta Analysis ◽  
Confounding Factors ◽  
Dominant Model ◽  
Subgroup Analyses

Objective Circulating miR-146a is aberrantly expressed in patients with type 2 diabetes (T2D), probably resulting from gene polymorphisms. However, the role of polymorphism rs2910164 in T2D pathogenesis remains controversial. Thus, we designed a meta-analysis to investigate the association between rs2910164 and T2D. Methods PubMed and Embase were searched for eligible papers in English published through September 2, 2019. Random or fixed effect models were used to determine risk estimates according to heterogeneities. Results Four studies, involving 2,069 patients and 1,950 controls, were included. Odds ratios (ORs) and 95% confidence intervals (95% CIs) were used to pool the effect size. The pooled ORs and 95% CIs were 1.501 (0.887–2.541), 1.102 (0.931–1.304), 1.276 (0.900–1.811), 1.204 (0.878–1.652), 1.238 (0.880–1.740), and 1.350 (0.904–2.016) under the homozygote, heterozygote (CG vs. GG and CC vs. CG), dominant, allele, and recessive models, respectively. Heterogeneity was detected in most genetic models, with subgroup analyses performed by ethnicity, genotyping method, and disease duration. The co-dominant model was determined to be the most appropriate genetic model. Conclusions Our findings suggested that polymorphism rs2910164 is not correlated with T2D susceptibility. However, the results should be interpreted with caution because of confounding factors.

scholarly journals Associations of genetic variants in/near body mass index-associated genes with type 2 diabetes: a systematic meta-analysis

2014 ◽  
Vol 81 (5) ◽  
pp. 702-710 ◽  
Author(s):  
Bo Xi ◽  
Fumihiko Takeuchi ◽  
Aline Meirhaeghe ◽  
Norihiro Kato ◽  
John C. Chambers ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Body Mass Index ◽  
Body Mass ◽  
Genetic Variants ◽  
Meta Analysis
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