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The effect of apple vinegar consumption on glycemic indices, blood pressure, oxidative stress, and homocysteine in patients with type 2 diabetes and dyslipidemia: A randomized controlled clinical trial.
Gheflati, A, Bashiri, R, Ghadiri-Anari, A, Reza, JZ, Kord, MT, Nadjarzadeh, A
Clinical nutrition ESPEN. 2019;:132-138
Abstract
BACKGROUND Some foods and drinks contain special ingredients, causing impressive effects on human health. The aim of the current study was to assess the health effects of apple vinegar in patients with diabetes and dyslipidemia. METHOD Seventy participants with type 2 diabetes and hyperlipidemia were randomly assigned into an intervention and control group in order to assess the effect of 20 ml apple vinegar per day using an 8-week parallel study. Fasting blood sugar (FBS), homeostasis model assessment for insulin resistance (HOMA-IR), homeostasis model assessment for b-cell function (HOMA-B), quantitative insulin sensitivity checks index (QUICKI), insulin, malondialdehyde (MDA), 2,20-Diphenyl-1- picrylhydrazyl (DPPH), homocysteine, systolic blood pressure (SBP), and diastolic blood pressure (DBP) were measured at the beginning and end of the study. RESULTS The intervention with apple vinegar could significantly improve FBS (mean change: -10.16 ± 19.48 mg/dl, p = 0.006) and DPPH (mean change: 16.58 ± 11.56, p < 0.001) within intervention group and in comparison with control group (p < 0.001). Additionally, the significant increase of MDA in control group (p < 0.05) caused a considerable difference between two groups. Glycemic indices containing insulin, HOMA-IR, HOMA-B, and QUICKI decrease significantly in both groups (p < 0.05). No considerable effect was observed on blood pressure and homocysteine in intervention group as well as control group. CONCLUSION This trial provided some evidences that apple vinegar consumption may cause beneficial effects on glycemic indices and oxidative stress in individuals with diabetes and dyslipidemia. This randomized clinical trial was registered in the Iranian Registry of Clinical Trials (https://www.irct.ir/) as 2013070710826N5.
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Effect of macronutrients and fiber on postprandial glycemic responses and meal glycemic index and glycemic load value determinations.
Meng, H, Matthan, NR, Ausman, LM, Lichtenstein, AH
The American journal of clinical nutrition. 2017;(4):842-853
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Abstract
Background: The potential confounding effect of different amounts and proportions of macronutrients across eating patterns on meal or dietary glycemic index (GI) and glycemic load (GL) value determinations has remained partially unaddressed.Objective: The study aimed to determine the effects of different amounts of macronutrients and fiber on measured meal GI and GL values.Design: Four studies were conducted during which participants [n = 20-22; women: 50%; age: 50-80 y; body mass index (in kg/m2): 25-30)] received food challenges containing different amounts of the variable nutrient in a random order. Added to the standard 50 g available carbohydrate from white bread was 12.5, 25, or 50 g carbohydrate; 12.5, 25, or 50 g protein; and 5.6, 11.1, or 22.2 g fat from rice cereal, tuna, and unsalted butter, respectively, and 4.8 or 9.6 g fiber from oat cereal. Arterialized venous blood was sampled for 2 h, and measured meal GI and GL and insulin index (II) values were calculated by using the incremental area under the curve (AUCi) method.Results: Adding carbohydrate to the standard white-bread challenge increased glucose AUCi (P < 0.0001), measured meal GI (P = 0.0066), and mean GL (P < 0.0001). Adding protein (50 g only) decreased glucose AUCi (P = 0.0026), measured meal GI (P = 0.0139), and meal GL (P = 0.0140). Adding fat or fiber had no significant effect on these variables. Adding carbohydrate (50 g), protein (50 g), and fat (11.1 g) increased the insulin AUCi or II; fiber had no effect.Conclusions: These data indicate that uncertainty in the determination of meal GI and GL values is introduced when carbohydrate-containing foods are consumed concurrently with protein (equal amount of carbohydrate challenge) but not with carbohydrate-, fat-, or fiber-containing foods. Future studies are needed to evaluate whether this uncertainty also influences the prediction of average dietary GI and GL values for eating patterns. This trial was registered at clinicaltrials.gov as NCT01023646.
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Improvement of Glycemic Control in Insulin-Dependent Diabetics with Depression by Concomitant Treatment with Antidepressants.
Radojkovic, J, Sikanic, N, Bukumiric, Z, Tadic, M, Kostic, N, Babic, R
Medical science monitor : international medical journal of experimental and clinical research. 2016;:2133-43
Abstract
BACKGROUND It is still disputable whether negative effects of comorbid depression in diabetics can be diminished by successful treatment of depression. The primary aim of this study was to assess whether addition of antidepressants to existing insulin treatment would further improve glycemic control in these patients. A secondary objective was to assess whether such treatment impairs their lipid and inflammatory status. MATERIAL AND METHODS Total of 192 patients with poorly controlled diabetes (defined as HbA1c ≥8%) in the absence of any uncontrolled medical condition entered the 6-month run-in phase with optimization of diabetic therapy. Depression status was screened at the end of this phase by BDI-II depression testing. Patients with BDI-II ≥14 and psychiatric confirmation of depression (58 patients) entered the 6-month interventional phase with SSRI class antidepressants. RESULTS Fifty patients completed the study. During the run-in phase, HbA1c dropped from 10.0±1.8% to 8.5±1.2% (p<0.001), and during the interventional phase it dropped from 8.5±1.2% to 7.7±0.7% (p<0.001). BDI-II scores improved significantly from 30.4±13.2 to 23.5±11.0 (p=0.02) during the interventional phase. A positive linear correlation between improvement in depression scale and improvement in glycemic control was observed (R²=0.139, p=0.008). Lipid profile and inflammatory status did not change significantly during the interventional phase. CONCLUSIONS Patients with poorly controlled diabetes and comorbid depression might benefit from screening and treatment of depression with SSRI antidepressants by achieving an incremental effect on glycoregulation. This therapy did not have any adverse effects on lipid profile or inflammatory status.