Effects of garlic powder supplementation on insulin resistance,oxidative stress,and body composition in patients with non-alcoholic fatty liver disease: A randomized controlled clinical trial

BackgroundNon-alcoholic fatty liver disease (NAFLD) is the most common chronic liver disease worldwide. Insulin resistance, oxidative stress, and obesity are major contributors to NAFLD pathogenesis. The effects of garlic powder supplementation on these risk factors in patients with NAFLD was investigated.MethodsIn this 12-wk, randomized controlled clinical trial, ninety patients with NAFLD were randomly assigned to two groups. The treatment group received four tablets of garlic (each coated tablet contained 400 mg garlic powder) daily and the control group received four tablets of placebo (each coated tablet contained 400 mg starch).ResultsA significant decrease was seen in the treatment group compared to the control group in waist circumference (P = 0.001), body fat percent (P < 0.001), serum concentration of fasting blood sugar (P = 0.01), insulin (P < 0.001), homeostatic model assessment for insulin resistance (P < 0.001), and malondialdehyde (P < 0.001), as well as significant increase in skeletal muscle mass (P = 0.002), serum concentration of superoxide dismutase (P < 0.001), and total antioxidant capacity (P < 0.001).ConclusionGarlic powder supplementation improved risk factors of NAFLD. Further studies are needed to determine the effects of garlic on hepatic features in patients with NAFLD. The study protocol was registered at Iranian clinical trials website under code IRCT20170206032417N4.     

Could serum levels of irisin be used in gestational diabetes predicting?

ObjectiveGestational diabetes mellitus (GDM) is a metabolic disorder during pregnancy leading to acute and chronic complications in both mother and newborn. The pathogenesis of GDM has not been fully understood, However, since the disease shares risk factors with type 2 diabetes mellitus (T2DM), a relationship between these two disease states is plausible. The recently discovered peptide irisin has been hypothesized to be a regulator of body metabolism. However, studies ended up with controversial results. In the present study, we aimed to investigate the relationship between irisin levels and gestational diabetes mellitus and the possible benefits of the metabolic profile.Materials and methodsWe performed a cross-sectional analysis of circulating levels of irisin in 100 pregnant women similar for age and body mass index and the groups included 50 gestational diabetic patients and 50 healthy pregnant volunteers. Serum irisin levels were measured by ELISA kit.ResultsMean age and body mass index levels were similar in both groups. Median HbA1c, fasting blood glucose, Glucose 1 h, Glucose 2 h and fasting insülin levels were higher in with gestational diabetic patients compared to the control group. In gestational diabetic group, the median irisin level was lower than in the control group.ConclusionSerum irisin levels were lower in gestational diabetic patients. Further investigations are needed to explore the underlying biological effects of irisin on pregnant women.     

Effect of yoga on cardiac autonomic dysfunction and insulin resistance in non-diabetic offspring of type-2-diabetes parents: A randomized controlled study

ObjectiveThe present study was aimed to determine the effect of yoga program on cardiac autonomic dysfunction and insulin resistance in non-diabetic offspring of diabetes parents.MethodsA randomized passive-controlled study was conducted on 64 non-diabetic offspring of type-2-diabetes parents (mean-age:25.17years). Yoga group participants received yoga training for 8 weeks. Heart-rate variability (HRV) indices: low frequency (LF), high frequency (HF) and LF/HF ratio; fasting blood glucose (FBG), oral glucose tolerance test (OGTT) and insulin resistance (IR) were estimated at baseline and after 8-weeks of intervention.ResultsWe found a significant decrease in LF (p = 0.005), LF/HF ratio (p = 0.004), IR (p < 0.001), OGTT (p = 0.003) and increase in HF (p = 0.022) in yoga group participants. Control group participants did not show any significant change in any variables.ConclusionsImprovement in cardiac autonomic function and insulin resistance by yoga training implies that yoga can reduce the risk of development of diabetes in offspring of diabetes parents.     

miR-155 increases stemness and decitabine resistance in triple-negative breast cancer cells by inhibiting TSPAN5

Effective therapeutic targets for triple-negative breast cancer (TNBC), a special type of breast cancer (BC) with rapid metastasis and poor prognosis, are lacking, especially for patients with chemotherapy resistance. Decitabine (DCA) is a Food and Drug Administration-approved DNA methyltransferase inhibitor that has been proven effective for the treatment of tumors. However, its antitumor effect in cancer cells is limited by multidrug resistance. Cancer stem cells (CSCs), which are thought to act as seeds during tumor formation, regulate tumorigenesis, metastasis, and drug resistance through complex signaling. Our previous study found that miR-155 is upregulated in BC, but whether and how miR-155 regulates DCA resistance is unclear. In this study, we demonstrated that miR-155 was upregulated in CD24⁻CD44⁺ BC stem cells (BCSCs). In addition, the overexpression of miR-155 increased the number of CD24⁻CD44⁺ CSCs, DCA resistance and tumor clone formation in MDA-231 and BT-549 BC cells, and knockdown of miR-155 inhibited DCA resistance and stemness in BCSCs in vitro. Moreover, miR-155 induced stemness and DCA resistance by inhibiting the direct target gene tetraspanin-5 (TSPAN5). We further confirmed that overexpression of TSPAN5 abrogated the effect of miR-155 in promoting stemness and DCA resistance in BC cells. Our data show that miR-155 increases stemness and DCA resistance in BC cells by targeting TSPAN5. These data provide a therapeutic strategy and mechanistic basis for future possible clinical applications targeting the miR-155/TSPAN5 signaling axis in the treatment of TNBC.     

Decision-support models for empiric antibiotic selection in Gram-negative bloodstream infections

Objectives

Early empiric antibiotic therapy in patients can improve clinical outcomes in Gram-negative bacteraemia. However, the widespread prevalence of antibiotic-resistant pathogens compromises our ability to provide adequate therapy while minimizing use of broad antibiotics. We sought to determine whether readily available electronic medical record data could be used to develop predictive models for decision support in Gram-negative bacteraemia.