scholarly journals Ethanolic Extract of Caesalpinia bonducella f. Seed Ameliorates Diabetes Phenotype of Streptozotocin- Nicotinamide-Induced Type 2 Diabetes Rat

2018 ◽  
Vol 11 (2) ◽  
pp. 1127-1133
Author(s):  
I. Gede Widhiantara ◽  
Pakajiraporn Arunngam ◽  
Ferbian Milas Siswanto
Keyword(s):  
Type 2 Diabetes ◽  
Blood Glucose ◽  
Ethanolic Extract ◽  
Treated Group ◽  
Seed Extract ◽  
Postprandial Blood Glucose ◽  
Antidiabetic Activity ◽  
Albino Rats ◽  
Caesalpinia Bonducella

Caesalpinia bonducella F. (Leguminosae) is widely used medicinal plant which contains flavonoid, tannin, saponin, and a potent antioxidant activity. However, the antihyperglycemic effect of the seed of C. bonducella is remained to be evaluated. This study used 24 male Wistar albino rats that were induced for type 2 diabetes with streptozotocin (STZ) and nicotinamide (NA). The rats were divided into three groups: the distilled water-treated group (NC group), glibenclamide-treated group (10 mg/kg/d, oral; PC group), and C. bonducella seed extract-treated group (500 mg/kg/d, oral; T group). Blood glucose and plasma insulin measurements were done after 14 days of treatment. The results showed that the postprandial blood glucose (PPBG) level of both PC and T groups were decreased significantly (p < 0.01 for both), whereas in NC group, the PPBG level was rising (p < 0.01). Glibenclamide was found to be more effective to decrease the PPBG level than C. bonducella seed extract (p < 0.01). The post-test fasting insulin level of T group was higher than other groups (p < 0.05). In summary, our results suggest that ethanolic extract of C. bonducella seed possesses antidiabetic activity against experimentally-induced type 2 diabetes.

The anti-diabetic effect of some plant extracts against Streptozotocin - induced diabetes type 2 in male albino rats.

2020 ◽  
Vol 20 ◽  
Author(s):  
Heba F. Gomaa ◽  
Imen Ben Abdelmalek ◽  
Khaled G. Abdel-Wahhab
Keyword(s):  
Body Weight ◽  
Blood Glucose ◽  
Total Cholesterol ◽  
Plant Extracts ◽  
Ethanolic Extract ◽  
Diabetic Rats ◽  
Male Rats ◽  
Postprandial Blood Glucose ◽  
Albino Rats

Background: One of the widely spread disorders is Diabetes mellitus, especially type 2 (T2DM). T2DM is attributed to the change in life style and stress. A possible strategy to block dietary carbohydrate absorption, is regulation of postprandial blood glucose level as well, the use of some natural plant extracts with inhibitory effect against carbohydrate digestive enzymes such as alpha-amylase and fewer side effects than synthetic drugs. This study was conducted to investigate the anti-diabetic effect of Cinnamon and Saussurea extract, individually, on blood glucose, lipid profile, insulin, interleukin1-beta and weight loss in diabetic rats treated with Streptozotocin (STZ). Methods: The experiment was performed on 60 Wistar male rats, the experimental study include 6 groups (10 rats each): (I) normal rats, (II) Streptozotocin- induced diabetic rats, (III) normal rats orally received (200 mg/kg/day) Saussurea ethanolic extract (SEE) for consecutive 4 weeks, (IV) normal rats orally received (100mg/kg/day) Cinnamon aqueous extract (CAE) for consecutive 4 weeks, (V) Streptozotocin –treated rats received SEE orally (200mg /kg/ day) for consecutive 4 weeks, and (VI) Streptozotocin –treated rats received CAE orally (100mg /kg/ day) for consecutive 4 weeks. Results: The results of the following study revealed that SEE has more anti-diabetic effect against Streptozotocin treatment than CAE due to the high α-amylase inhibition potential and higher phenolic content, Also, GC-MS analysis of SEE exhibited higher concentrations of phenolic compounds such as : dehydrocostus lactone, azuleno, eicosa-pentaenoic acid and linoelaidic acid that revealed anti-diabetic, anti-lipidemic and anti-inflammatory activities, while CAE showed presence of cinnamic and quinic acids. Injection of STZ resulted in a decline in the insulin, high density lipoprotein and body weight values matched with increase of glucose, total cholesterol, LDL-Cholesterol, triglycerides and interleukin1- β (IL-1β). The administration of extracts of SEE and CAE into STZ-treated rats separately resulted in a decline in the elevated levels of blood glucose, total cholesterol, triglycerides and improving serum HDL-Cholesterol and body weight. Conclusion: Both tested herbal extracts performed anti-diabetic effect that mainly could be mechanized via the α-amylaseinhibitory potentials due to the high phenolic and flavonoids content.

Gelatinisation and milling whole-wheat increases postprandial blood glucose: randomised crossover study of adults with type 2 diabetes

Diabetologia ◽  
2021 ◽  
Author(s):  
Mona M. Elbalshy ◽  
Andrew N. Reynolds ◽  
Evelyn Mete ◽  
Caleb Robinson ◽  
Indrawati Oey ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Blood Glucose ◽  
Crossover Study ◽  
Postprandial Blood Glucose ◽  
Whole Wheat

scholarly journals Breakfast replacement with a liquid formula improves glycaemic variability in patients with type 2 diabetes: a randomised clinical trial

2019 ◽  
Vol 121 (5) ◽  
pp. 560-566 ◽  
Author(s):  
Jiahui Peng ◽  
Jingyi Lu ◽  
Xiaojing Ma ◽  
Lingwen Ying ◽  
Wei Lu ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Blood Glucose ◽  
Glucose Monitoring ◽  
Mean Amplitude ◽  
Randomised Clinical Trial ◽  
Postprandial Blood Glucose ◽  
Glycaemic Variability ◽  
Intervention Measures ◽  
Before And After

AbstractThere is emerging evidence that glycaemic variability (GV) plays an important role in the development of diabetic complications. The current study aimed to compare the effects of lifestyle intervention (LI) with and without partial meal replacement (MR) on GV. A total of 123 patients with newly diagnosed and untreated type 2 diabetes (T2D) were randomised to receive either LI together with breakfast replacement with a liquid formula (LI+MR) (n 62) or LI alone (n 61) for 4 weeks and completed the study. Each participant was instructed to have three main meals per d and underwent 72-h continuous glucose monitoring (CGM) both before and after intervention. Measures of GV assessed by CGM included the incremental AUC of postprandial blood glucose (AUCpp), standard deviation of blood glucose (SDBG), glucose CV and mean amplitude of glycaemic excursions (MAGE). After a 4-week intervention, the improvements in systolic blood pressure (P=0·046) and time in range (P=0·033) were more pronounced in the LI+MR group than in the LI group. Furthermore, LI+MR caused significantly greater improvements in all GV metrics including SDBG (P=0·005), CV (P=0·002), MAGE (P=0·016) and AUCpp (P<0·001) than did LI. LI+MR (v. LI) was independently associated with improvements in GV after adjustment of covariates (all P<0·05). Our study showed that LI+MR led to significantly greater improvements in GV compared with LI, suggesting that LI+MR could be an effective treatment to alleviate glucose excursions.

scholarly journals The Research of Improved Grey GM (1, 1) Model to Predict the Postprandial Glucose in Type 2 Diabetes

2016 ◽  
Vol 2016 ◽  
pp. 1-6 ◽  
Author(s):  
Yannian Wang ◽  
Fenfen Wei ◽  
Changqing Sun ◽  
Quanzhong Li
Keyword(s):  
Type 2 Diabetes ◽  
Blood Glucose ◽  
Prediction Model ◽  
Glucose Concentration ◽  
Blood Glucose Concentration ◽  
Original Data ◽  
Postprandial Glucose ◽  
Postprandial Blood Glucose ◽  
Glucose Prediction

Diabetes may result in some complications and increase the risk of many serious health problems. The purpose of clinical treatment is to carefully manage the blood glucose concentration. If the blood glucose concentration is predicted, treatments can be taken in advance to reduce the harm to patients. For this purpose, an improved grey GM (1, 1) model is applied to predict blood glucose with a small amount of data, and especially in terms of improved smoothness it can get higher prediction accuracy. The original data of blood glucose of type 2 diabetes is acquired by CGMS. Then the prediction model is established. Finally, 50 cases of blood glucose from the Henan Province People’s Hospital are predicted in 5, 10, 15, 20, 25, and 30 minutes, respectively, in advance to verify the prediction model. The prediction result of blood glucose is evaluated by the EGA, MSE, and MAE. Particularly, the prediction results of postprandial blood glucose are presented and analyzed. The result shows that the improved grey GM (1, 1) model has excellent performance in postprandial blood glucose prediction.

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 Identification of Potential Therapeutic Targets in the Liver of Pioglitazone-Treated Type 2 Diabetes Sprague-Dawley Rats via Expression Profile Chip and iTRAQ Assay

2018 ◽  
Vol 2018 ◽  
pp. 1-9
Author(s):  
Zhong-Xia Lu ◽  
Wen-Jun Xu ◽  
Yang-Sheng Wu ◽  
Chang-Yu Li ◽  
Yi-Tao Chen
Keyword(s):  
Type 2 Diabetes ◽  
Blood Glucose ◽  
Differentially Expressed Genes ◽  
Fasting Blood Glucose ◽  
Treated Group ◽  
Differentially Expressed ◽  
Model Group ◽  
Sprague Dawley ◽  
Sprague Dawley Rats

The aim of the present study was to identify key antidiabetic nodes in the livers of pioglitazone-treated type 2 diabetes mellitus Sprague-Dawley rats by transcriptomic and proteomic analysis. Rats were randomly divided into the control, the diabetes model, and the pioglitazone-treated groups. After treatment with pioglitazone for 11 weeks, the effects on fasting blood glucose, body weight, and blood biochemistry parameters were evaluated. Microarray and iTRAQ analysis were used to determine the differentially expressed genes/proteins in rat livers. 1.5-fold changes in gene expression and 1.2-fold changes in protein were set as the screening criteria. After treatment with pioglitazone for 11 weeks, fasting blood glucose in pioglitazone-treated rats was significantly lower than that in the model group. There was a tendency for pioglitazone to reduce TC, TG, TP, ALB, BUN, and HDL-c levels. Kyoto Encyclopedia of Genes and Genomes (KEGG) and gene ontology (GO) were applied to analyze differentially expressed genes/proteins. Furthermore, Western blotting and RT-qPCR were used to validate the results of microarray and iTRAQ. In conclusion, Cyp7a1, Cp, and RT1-EC2 are differentially expressed genes/proteins since they showed a similar trend in rats in the model group and the pioglitazone-treated group.

Pinitol from Soybeans Reduces Postprandial Blood Glucose in Patients with Type 2 Diabetes Mellitus

2006 ◽  
Vol 9 (2) ◽  
pp. 182-186 ◽  
Author(s):  
Min-Jung Kang ◽  
Jung-In Kim ◽  
Sang-Yeon Yoon ◽  
Jae Cherl Kim ◽  
In-June Cha
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Blood Glucose ◽  
Postprandial Blood Glucose
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