34 research outputs found

    Presence of fructose transporter GLUT5 in the S3 proximal tubules in the rat kidney

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    Presence of fructose transporter GLUT5 in the S3 proximal tubules in the rat kidney.BackgroundFructose is a nutrient as well as a potent agent for the formation of advanced glycation end product in diabetes. GLUT5 is a facilitated-diffusion fructose transporter expressed in the small intestine and kidney. Previous reports on the localization of GLUT5 by in situ hybridization and immunohistochemistry were controversial.MethodsThe expression of GLUT5 was checked by reverse transcription-polymerase chain reaction and Southern blotting and immunoblotting analyses. Localization of GLUT5 was visualized by high-resolution immunofluorescence and immunogold electron microscopy.ResultsWe were able to confirm the expression of GLUT5 in the kidney. GLUT5 was predominantly present in the outer stripe of the outer medulla, where it was localized in the S3 proximal tubule cells. Double labeling with phalloidin showed that GLUT5 was localized in the brush border of the S3 proximal tubule cells. Ultrastructural examination revealed that GLUT5 was present along the plasma membrane of the apical microvilli.ConclusionGLUT5 is present at the apical plasma membrane of S3 proximal tubule cells and may serve as the transporter of fructose

    The Coefficient of Variation of Step Time Can Overestimate Gait Abnormality: Test-Retest Reliability of Gait-Related Parameters Obtained with a Tri-Axial Accelerometer in Healthy Subjects

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    The aim of this study was to investigate whether variation in gait-related parameters among healthy participants could help detect gait abnormalities. In total, 36 participants (21 men, 15 women; mean age, 35.7 ± 9.9 years) performed a 10-m walk six times while wearing a tri-axial accelerometer fixed at the L3 level. A second walk was performed ≥1 month after the first (mean interval, 49.6 ± 7.6 days). From each 10-m data set, the following nine gait-related parameters were automatically calculated: assessment time, number of steps, stride time, cadence, ground force reaction, step time, coefficient of variation (CV) of step time, velocity, and step length. Six repeated measurement values were averaged for each gait parameter. In addition, for each gait parameter, the difference between the first and second assessments was statistically examined, and the intraclass correlation coefficient (ICC) was calculated with the level of significance set at p < 0.05. Only the CV of step time showed a significant difference between the first and second assessments (p = 0.0188). The CV of step time also showed the lowest ICC, at <0.50 (0.425), among all parameters. Test–retest results of gait assessment using a tri-axial accelerometer showed sufficient reproducibility in terms of the clinical evaluation of all parameters except the CV of step time
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