Introduction With growing awareness of the link between diet and health and the problem of obesity, public concern over sugar levels in the diet is forcing a worldwide trend toward cutting down on sugar by using artificial sweeteners (AS). Aim To study the effect of increasing concentrations of sucralose (an AS) on glucose uptake in rat L6 myotubes. Materials and methods The L6 cell line from American type cell culture (ATCC) was grown in Dulbecco's Modified Eagle's Medium (DMEM) and differentiated into myotubes. The wells were exposed to either 0, 1 nM, 1 μM, or 1 mM of sucralose alone or with 10 nM insulin for 24 hours. Glucose uptake was studied after this period. Results Significant decrease was seen between the insulin-stimulated basal glucose uptake and insulin-stimulated glucose uptake across all the concentrations of sucralose treatment. Conclusion Increased concentration of sucralose appears to decrease glucose uptake even on insulin stimulation. Clinical significance It may not be beneficial to use sucralose in certain groups of people who have insulin resistance or are prone to it. How to cite this article Prakash SN, Shanthakumari J, Devanath A. Effect of Sucralose on Glucose Uptake in Rat L6 Myotubes. Indian J Med Biochem 2017;21(2):162-165.
Introduction and aim:Internal and external quality control (IQC and EQC) is used to monitor and evaluate the analytical process. Six Sigma provides an objective assessment of performance. The Sigma metrics (σ) are calculated using the coefficient of variation (CV), bias, and total allowable error (TEa). One of the pitfalls of the Sigma metrics calculation is that it depends upon the source of the variables used in the formula and the measurand matrix. Hence, this study was conducted to calculate the Sigma metrics of urea, creatinine, Na, and K in serum and urine using Tea from biological variation (BV) (urine and serum) and Clinical Laboratory Improvement Amendments (CLIA) (serum) and subsequently comparing the Sigma metrics of all four analytes using TEa from BV between serum and urine control and using TEa from BV in the same matrix (serum). Materials and methods:A cross-sectional study was conducted in the Department of Clinical Biochemistry, St. John's Medical College for 1 year (January-December 2018). Bio-Rad IQC (serum and urine) data have been used to calculate σ of urea, creatinine, Na, and K. The cumulative CV and bias were obtained using unity real-time software from Bio-Rad Laboratories. Total allowable error values were obtained from BV and CLIA guidelines. Results: Urea, creatinine, Na, and K showed higher σ in the urine control than in serum controls indicating the better performance of these parameters in the urine matrix than in serum. In the same matrix (serum control), creatinine, Na, and K had higher σ using TEa from CLIA than TEa from BV. Na showed the highest difference in σ value between the two sources (p-value < 0.001). However, serum urea showed higher σ using TEa from BV compared to TEa from CLIA. Conclusion: Our study showed that σ varies with the matrix; henceforth, one should be careful in extrapolating the performance characteristics in terms of Sigma of an analyte from one matrix to another. In the same matrix, σ also varies depending on the source of TEa used in the calculation. It is, thus, essential to mention the source of the variables used to calculate σ for a better interpretation.
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