Total body fat content and fat topography are associated differently with in vivo glucose metabolism in nonobese and obese nondiabetic women

In this study, total body fat content and fat topography were related to glucose metabolism in the basal and insulin-stimulated states in 18 nonobese and 18 obese premenopausal nondiabetic women. All subjects received a euglycemic insulin (20 mU.min-1.m2) clamp study in combination with [3-3H]-D-glucose infusion and indirect calorimetry to quantitate total body glucose uptake, glucose oxidation, and nonoxidative glucose disposal. Total body fat content was determined with tritiated water, whereas body fat distribution was estimated from the WHR, the STR, and the VSR (measured by magnetic resonance imaging). In the postabsorptive state, total body glucose utilization, glucose oxidation, and nonoxidative glucose disposal rates were similar in nonobese and obese women, whereas during the insulin clamp all three metabolic parameters were reduced significantly in the obese group. In nonobese women, total body fat content was related inversely to both total and nonoxidative glucose disposal during the insulin clamp, whereas no relationship was found between glucose metabolism (total, oxidative, and nonoxidative) and WHR, STR, or VSR. In contrast, in obese women, no relationship was observed between total body fat content and any measure of insulin-mediated glucose metabolism. However, both WHR and VSR were related inversely to total, oxidative, and nonoxidative glucose disposal rates during the insulin clamp. These results suggest that total body fat content and body fat topography are associated differently with insulin-mediated glucose metabolism in nonobese and obese women. In the nonobese women, total body fat mass appears to be a primary determinant of tissue sensitivity to insulin, whereas in obese women, body fat topography exerts a more dominant effect

Development of a point-of-care diagnostic for influenza detection with antiviral treatment effectiveness indication

Currently, diagnosis of influenza is performed either through tedious polymerase chain reaction (PCR) or through rapid antigen detection assays. The rapid antigen detection assays available today are highly specific but not very sensitive, and most importantly, lack the ability to show if the strain of influenza detected is susceptible to antiviral agents, such as Tamiflu and Relenza. The ability to rapidly determine if a patient has an infectious disease and what type of treatment the infection will respond to, would significantly reduce the treatment decision time, shorten the impact of symptoms, and minimize transfer to others. In this study, a novel, point-of-care style μPAD (microfluidic paper-based diagnostic) for influenza has been developed with the ability to determine antiviral susceptibility of the strain for treatment decision. The assay exploits the enzymatic activity of surface proteins present on all influenza strains, and potential false positive responses can be mitigated. A sample can be added to the device, distributed to 4 different reagent zones, and development of the enzymatic substrate under different buffer conditions takes place on bottom of the device. Analysis can be performed by eye or through a colorimetric image analysis smartphone application