Heliotropiumz stnigosum Wilid. (Boraginaceae) is used traditionally as a laxative, diuretic, and as a treatment for snake bites and stings of nettles. Recent investigations have shown anti-inflammatory and antioxidant activity of H. sorigosum. However, antihyperglycemic and antidyslipidemic activity of H. strigosum has not been investigated to date and we aimed to explore these activities of the crude aqueous methanolic extract of thEaerial parts of H. strigosum (Hs.Cr). Hs.Cr was administered orally at doses of 100, 300, and 500 mg/kg in alloxan-induced diabetic rats (type I diabetes) and fructose-fed rats (type II diabetes). The fasting blood glucose (FBG) concentration was assessed by glucometer, while semum total cholesterol, triglycerides and HDL were estimated by using standard kits. The FBG concentration significantly (p < 0.05) decreased in dose-dependent pattern in both alloxan-induced diabetic and fructose-fed rats on Hs.Cr administration. The percentage glucose reductions in alloxanized rats with glibenclamide, Hs.Cr 100, 300, and 500 mg/kg were obeserved to be 67, 36, 56 and 62%, respectively. In fructose-fed rats, the percentage glucose redutions associated with metformin, Hs.Cr 100, 300, and 500 mg/kg were 23, 5, 11 and 12%, respectively. The extract also corrected the dyslipidemia associated with fructose and alloxan-induced diabetes by significantly (p < 0.00 1) decreasing the concentration of serum total cholesterol, triglycerides and LDL and by increasing HDL concentration. Our data demonstrate that the H. stigosum has antidiabetic and antidyslipidemic effects, thus encouraging further studies.
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BMC Infect Dis
January 2025
Department of Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran.
Background: Each of the Coronavirus disease 2019 (COVID-19) vaccines has its characteristics that can affect their effectiveness in preventing hospitalization and patient mortality. The present study aimed to determine the effectiveness of COVID-19 vaccines, including whole-virus, protein-based, and vector-based on COVID-19 infection, hospitalization, and mortality.
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Biol Trace Elem Res
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Department of Nutrition and Metabolism, Chinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing, 100050, China.
Selenium (Se) intake or selenoprotein overexpression can cause abnormal glucose metabolism and increase the risk of type 2 diabetes (T2D). The purpose of this study is to observe whether glycolysis bypass in the de novo serine synthesis pathway (SSP) is activated under high-Se stress in vitro. Initially, HCT-116, L02, HepG2, and differentiated C2C12 cells were exposed to five selenomethionine (SeMet) concentrations (0.
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January 2025
Department of Gastroenterology, Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou Medical Center, Nanjing Medical University, 68 Gehu Middle Road, Wujing District, Changzhou, 213000, Jiangsu, China.
Patients with diabetes have a high risk of failure of H. pylori eradication therapy. The present study aims to evaluate the efficacy and safety of vonoprazan-amoxicillin (VA) dual therapy for the treatment of H.
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State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macao SAR, China.
Brain microvascular endothelial cells are connected by tight junction (TJ) proteins and interacted by adhesion molecules, which participate in the selective permeability of the blood-brain barrier (BBB). The disruption of BBB is associated with the progression of cerebral diseases. Pterostilbene is a natural compound found in blueberries and grapes with a wide range of biological activities, including anti-inflammatory, antioxidant, and anti-diabetic effects.
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January AI, Menlo Park, CA, USA.
This retrospective cohort study evaluates the impact of an AI-supported continuous glucose monitoring (CGM) mobile app ("January V2") on glycemic control and weight management in 944 users, including healthy individuals and those with prediabetes or type 2 diabetes (T2D). The app, leveraging AI to personalize feedback, tracked users' food intake, activity, and glucose responses over 14 days. Significant improvements in time in range (TIR) were observed, particularly in users with lower baseline TIR.
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