In this study, the glycogen depletion and repletion of 4 hind limb skeletal muscles which are composed of different type of muscle fibers were investigated in the streptozotocin induced diabetic rats. At sixth day after intraperitoneal injection of streptozotocin (65mg/kg, BW), the plasma insulin level was decreased to 28.2 ±4.16u U/ml comparing with the level of 49.3 ±9.41 in control rats, And it showed approximatly 300% increment of the level of blood glucose concentration in the sedentary diabetic rats. The soleus (slow oxidative), rad gastrocnemius (fast oxydtive glycolytic), extensor digitorum longus (fast oxidative glycolytic and fast glycolytic mixed), and white gastrocnemius (fast gltycolytic) were subjected in this study. The decreased amount of glycogen in the muscles by 3 minutes treadmill running in disbetic rats was larger than that of control rats. The largest amount of depletion was observed in the soleus in diabetic rats. The repleted amount of muscle glycogen was measured at 2 hours after glucose ingestion (25% glucose sol., 2ml/10gm BW). In the control rats, the highest amount of glycogen was repleted in the soleus, but lowest in white gastrocnemius. The repleted amount of glycogen in soleus, red gastrocnemius, and extensor digitorum longus was lower in the muscles of diabetic rats than in control rats, but no difference was observed in white gastroenemius muscles. These data suggest that glycogen synthetic activities of all of muscles except the muscles which are composed of fast glycolytic fiber, were stimulated by insulin.
Animals ; Blood Glucose ; Eating ; Extremities ; Glucose ; Glycogen ; Injections, Intraperitoneal ; Insulin ; Muscle Fibers, Skeletal ; Muscle, Skeletal ; Muscles ; Plasma ; Rats ; Running ; Streptozocin

BACKGROUND: Analysis of body fluids provides important information for assessing various medical conditions. We aimed to validate the analytical and diagnostic performance of the Sysmex UF-5000 (Sysmex, Japan) system for the analysis of different body fluids. METHODS: Eighty body fluid samples were analyzed using the UF-5000 system in the body fluid mode and light microscopy. Body fluids included ascitic, pleural, and cerebrospinal fluid (CSF), as well as other fluid samples. RESULTS: A comparison between the UF-5000 system and manual counting demonstrated good correlations with regard to red (r=0.6555) and white blood cell (r=0.9666) counts. The UF-5000 system also demonstrated good performance for differential cell counting (r=0.9028). CSF particularly showed a good correlation. CONCLUSIONS: The use of the UF-5000 system for cell counting and differential analysis of body fluid samples might be an effective and automated alternative to chamber counting in laboratory routine analysis, thereby enhancing laboratory workflow and clinical effectiveness.
Automation ; Body Fluids ; Cell Count ; Cerebrospinal Fluid ; Erythrocytes ; Leukocytes ; Methods ; Microscopy ; Treatment Outcome