Soleiman Ghamaridaz, Vida Hojati, Sahar Molzemi, Bostan Roudi,
Volume 23, Issue 4 (11-2023)
Abstract
Background: Diabetes is associated with hormonal and biochemical changes, and with the production of free radicals and oxidative stress, it plays an important role in the occurrence of many metabolic injuries. Garlic plant and kombucha mushroom play a major role in the prevention and treatment of complications caused by oxidative stress due to their antioxidant and anti-apoptotic properties.
Methods: 40 male Wistar rats, divided into five groups of eight, including: control (diabetic and receiving citrate buffer), Negative control group (diabetic, with 55 mg/kg of streptozotocin intraperitoneally), experimental group 1 (diabetic and receiving 50 mg/kg garlic extract), experimental group 2 (diabetic and receiving 50 mg/kg kombucha mushroom) and experimental group 3 (diabetic and receiving 50 mg/kg kombucha mushroom and 50 mg/kg of garlic extract) were divided. After two months passed after the mice became diabetic, the extracts were injected subcutaneously for two weeks. After that, the rats were anesthetized with ketamine and xylisine, and blood was taken directly from the heart.
Results: The Negative control group had higher glucose, triglyceride, cholesterol and LDL and lower insulin and HDL than the control group. The treatment groups of garlic, kombucha and garlic + kombucha caused a significant decrease in glucose, cholesterol, triglyceride and LDL levels and a significant increase in HDL and insulin compared to the Negative control group (p < 0.05). The highest therapeutic effect was shown by the garlic + kombuja group.
Conclusion: The combined extract of kombucha and garlic has favorable effects on sugar control and reducing cholesterol and Triglyceride.
Mohammad Reza Astaneh, Sousan Doroudi, Mohammad Ebrahim Astaneh, Narges Fereydouni,
Volume 25, Issue 6 (1-2026)
Abstract
Background: Type 2 diabetes is rapidly increasing, particularly in the Middle East where central obesity is a major contributor to disease burden. Identifying high-risk individuals requires indices that assess visceral adiposity more effectively than body mass index (BMI). This study compared nine anthropometric indices in relation to diabetes and determined their predictive capacity and optimal cut-off values.
Methods: This cross-sectional analysis included 10,103 adults aged 35–70 years from the FASA cohort. Diabetes was defined as fasting glucose ≥126 mg/dL or antidiabetic medication use. Measurements included BMI, waist circumference (WC), hip circumference (HC), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), body roundness index (BRI), body adiposity index (BAI), a body shape index (ABSI), abdominal volume index (AVI), and weight-adjusted waist index (WWI). Associations were examined using logistic regression (crude and adjusted models). Discriminatory accuracy was assessed using receiver operating characteristic (ROC) curves, area under the curve (AUC), and Youden's index.
Results: Individuals with diabetes exhibited higher values across anthropometric indices (p< 0.05). In adjusted models, WC, WHR, WHtR, AVI, and WWI remained significant predictors (p< 0.05). WHR demonstrated the highest AUC (0.651, p< 0.001). Optimal cut-off values with high sensitivity and specificity included WHR= 0.91, WHtR= 0.53, and BRI= 4.1.
Conclusion: Central obesity indices—particularly WHR, WHtR, and BRI—demonstrated superior discriminatory capacity for diabetes and support the use of simple waist-based indices for early screening.
