OBJECTIVE: To investigate the effect of ferulic acid, a natural compound, on pancreatic beta cell viability, Ca²⁺ channels, and insulin secretion. METHODS: We studied the effects of ferulic acid on rat insulinoma cell line viability using the 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide viability assay. The whole-cell patch-clamp technique and enzyme-linked immunosorbent assay were also used to examine the action of ferulic acid on Ca²⁺ channels and insulin secretion, respectively. RESULTS: Ferulic acid did not affect cell viability during exposures up to 72 h. The electrophysiological study demonstrated that ferulic acid rapidly and concentration-dependently increased L-type Ca²⁺ channel current, shifting its activation curve in the hyperpolarizing direction with a decreased slope factor, while the voltage dependence of inactivation was not affected. On the other hand, ferulic acid have no effect on T-type Ca²⁺ channels. Furthermore, ferulic acid significantly increased insulin secretion, an effect inhibited by nifedipine and Ca²⁺-free extracellular fluid, confirming that ferulic acid-induced insulin secretion in these cells was mediated by augmenting Ca²⁺ influx through L-type Ca²⁺ channel. Our data also suggest that this may be a direct, nongenomic action. CONCLUSION This is the first electrophysiological demonstration that acute ferulic acid treatment could increase L-type Ca²⁺ channel current in pancreatic β cells by enhancing its voltage dependence of activation, leading to insulin secretion.
Rats ; Animals ; Insulin Secretion ; Insulin/pharmacology* ; Insulin-Secreting Cells/metabolism* ; Coumaric Acids/metabolism* ; Calcium/metabolism*

Liver cirrhosis (LC) and insulin resistance (IR) are closely correlated, clinically presenting hyperglycemia, hyperinsulinism, hyperlipidemia and high cytokines levels, however, the underlying mechanism is not completely clear. Recent reports show that insulin receptor substrate-1 (IRS-1) is associated with IR in LC. IRS-1 plays a pivotal role on insulin signal transduction; it changes insulin signaling by up-or down-regulating of protein presentation, post-translational modification and subcellular localization of proteins, particularly in phosphorylation/dephosphorylation of post-translational modification. Furthermore, LC with different etiology may have different mechanism of IRS-1 effect on IR.
Humans ; Insulin ; metabolism ; Insulin Receptor Substrate Proteins ; metabolism ; physiology ; Insulin Resistance ; Liver Cirrhosis ; metabolism

No abstract available.
Diabetes, Gestational/*metabolism ; Female ; Humans ; Insulin/*secretion ; *Insulin Resistance ; Pregnancy

Skeletal muscle is the largest organ of human body, which completes 80%-90% of glucose intake stimulated by insulin, and is closely related to the occurrence and development of insulin resistance (IR). Skeletal muscle is one of the main places of lipid metabolism, and lipid metabolites participate in skeletal muscle metabolism as signal molecules. Fatty acids regulate skeletal muscle insulin sensitivity through insulin signaling pathway, inflammatory response and mitochondrial function. Saturated fatty acids (SFAs) induce insulin resistance by impairing insulin signal transduction, inducing mitochondrial dysfunction and inflammatory response, while unsaturated fatty acids reverse the adverse effects of SFAs and ameliorate IR by enhancing insulin signal transduction and anti-inflammatory effect. In addition, disorders of lipid metabolism in skeletal muscle cause accumulation of harmful metabolic intermediates, such as diacylglycerol, ceramide and long-chain acyl-coenzyme A, and induce IR by directly or indirectly damaging insulin signaling pathway. This article reviews the research progress of lipid metabolic intermediates regulating insulin sensitivity in skeletal muscle, which will help to better understand the pathogenesis of diabetes.
Humans ; Insulin Resistance/physiology* ; Muscle, Skeletal/metabolism* ; Insulin/metabolism* ; Lipid Metabolism ; Fatty Acids/metabolism*

OBJECTIVETo observe the structural and functional changes in islet beta cells in severely scalded rats, and to explore its relationship with dysfunction of glycometabolism.

METHODSSeventy-two Wistar rats were divided into scald (S) group and sham injury (SI) group according to the random number table, with 36 rats in each group. Rats in group S were inflicted with 50%TBSA full-thickness scald by a 12-s immersion of back and a 6-s immersion of abdomen in 94 °C hot water. Rats in group SI were sham injured through immersion of back and abdomen in 37 °C warm water. At post injury hour (PIH) 6 and on post injury day (PID) 3 and 7, plasma glucose level was measured for intraperitoneal glucose tolerance test (IPGTT) in 12 rats of each group, and the area under the curve (AUC) of plasma glucose level was calculated. After the IPGTT, pancreatic tissue was harvested and subjected to a double immunostaining for insulin and cell nuclei to determine the pancreatic insulin-positive area ratio, and the area and number of beta cells in the islets (referred to as "the three indicators in the islets"). Data were processed with the analysis of repeated measures and factorial designed analysis of variance, and LSD test was applied for paired comparison.

RESULTS(1) At PIH 6 and on PID 3, the overall plasma glucose levels of rats in group S before and after injection of glucose and at each time point were obviously higher than those of rats in group SI (with F values of main effects respectively 79.372 and 32.962, P values all below 0.001; with P values of paired comparison below 0.05 or 0.01). On PID 7, the overall plasma glucose levels in the two groups before and after injection of glucose and at each time point were close (with P values all above 0.05). (2) The overall AUC of plasma glucose levels of rats in group S was higher than that of rats in group SI (main effects: F = 337.87, P < 0.01). Compared with those of rats in group SI [(1019 ± 32), (1003 ± 72) mmol·min·L(-1)], the AUCs of plasma glucose levels of rats in group S were higher at PIH 6 and on PID 3 [(1501 ± 163), (1132 ± 67) mmol·min·L(-1), P values all below 0.001]. The AUCs of plasma glucose levels were close between two groups on PID 7 (P > 0.05). The AUCs of plasma glucose levels on PID 3 and 7 were both lower than that at PIH 6 in rats of group S (with P values all below 0.001). (3) The three indicators in the islets in rats of group S were all lower than those of rats in group SI (with F values of main effects respectively 135.17, 24.75 and 39.35, P values all below 0.01). There were no significant differences in the three indicators in the islets at PIH 6 between two groups (with P values all above 0.05). The three indicators in the islets of rats in group S on PID 3 and 7 [0.47 ± 0.05, 0.51 ± 0.07; (0.032 ± 0.008), (0.037 ± 0.008) mm(2); (303 ± 64), (341 ± 58) cells] were significantly lower than those of rats in group SI [0.63 ± 0.05, 0.64 ± 0.06; (0.043 ± 0.011), (0.044 ± 0.012) mm(2); (398 ± 112), (387 ± 90) cells; P < 0.05 or P < 0.01] and that at PIH 6 within group S (P < 0.05 or P < 0.01).

CONCLUSIONSThe number of beta cells is reduced, and the insulin secretion function of beta cells is decreased in the scalded rats, and they may constitute the cause of dysfunction of glycometabolism, mainly manifested as hyperglycemia.

Animals ; Blood Glucose ; metabolism ; Burns ; metabolism ; Insulin ; metabolism ; Insulin-Secreting Cells ; metabolism ; Male ; Rats ; Rats, Wistar

MicroRNAs have been identified as a new class of regulatory molecules that affect many biological functions by interferring the target gene expressions. Latest studies demonstrate that microRNAs can influence many pivotal bio-processes and deeply involve in the metabolism of glucose, lipid and amino acid and biological oxidation. For glucose metabolism, microRNAs are related to insulin secretion, insulin sensitivity, glucose uptake, glycolysis, oxidation and mitochondrial function. For lipid matebolism, microRNAs can regulate the target genes related to lipid biosynthesis, catabolism and transportation. MicroRNAs can influence glutamine catabolism.
Animals ; Glucose ; metabolism ; Glutamine ; metabolism ; Humans ; Insulin ; metabolism ; Insulin Secretion ; Lipid Metabolism ; physiology ; Metabolism ; physiology ; MicroRNAs ; physiology

BACKGROUNDThere are studies suggesting smoking may increase the risk of type 2 diabetes. Effects of smoking on insulin secretion and insulin resistance (IR) are, however, controversial.

METHODSThis is a cross-sectional study. Since there were very few smokers among Hong Kong Chinese women, only men (n = 1068) were analyzed in this report. Fasting and 2-hour plasma glucose and insulin were measured. Insulinogenic index as well as beta-cell function and IR based on homeostatic model assessment (HOMA) by computer model (HOMA Calculator v2.2) were calculated.

RESULTSOf the 1068 men, 147 had newly diagnosed diabetes, 131 newly diagnosed impaired glucose tolerance (IGT) and 790 were non-diabetic normal controls. Smokers had similar fasting and 2-hour insulin levels, insulinogenic index and HOMA derived beta-cell function as compared to non-smokers in the groups with diabetes, IGT or normal oral glucose tolerance test (OGTT). IR was also similar between smokers, ex-smokers and non-smokers in those with normal OGTT. In men with IGT or diabetes, after adjustment for age and body mass index, smokers were more insulin resistant as compared to non-smokers (IR, IGT: 1.59 +/- 1.07 vs 1.03 +/- 0.54, P < 0.05; diabetes: 1.96 +/- 1.36 vs 1.06 +/- 0.45, P < 0.01). With Logistic regression analysis, comparing smokers and non-smokers, IR was independently associated with smoking (odds ratio (95% CI), IGT: 2.23 (1.05, 4.71); diabetes: 3.92 (1.22, 12.58)). None of the other insulin parameters enter into the model among those with normal OGTT or comparing ex-smokers and non-smoker or smokers and ex-smokers.

CONCLUSIONSIn Chinese men, smoking did not show any direct association with insulin levels and pancreatic insulin secretion. Smoking men with IGT or diabetes appeared more insulin resistant than their non-smoking counterparts.

Adult ; Female ; Glucose Intolerance ; metabolism ; Humans ; Insulin ; secretion ; Insulin Resistance ; Insulin-Secreting Cells ; secretion ; Male ; Middle Aged ; Smoking ; metabolism

Insulin resistance is a major risk factor for developing type 2 diabetes caused by the inability of insulin-target tissues to respond properly to insulin, and contributes to the morbidity of obesity. Insulin action involves a series of signaling cascades initiated by insulin binding to its receptor, eliciting receptor autophosphorylation and activation of the receptor tyrosine kinase, resulting in tyrosine phosphorylation of insulin receptor substrates (IRSs). Phosphorylation of IRSs leads to activation of phosphatidylinositol 3-kinase (PI3K) and, subsequently, to activation of Akt and its downstream mediator AS160, all of which are important steps for stimulating glucose transport induced by insulin. Although the mechanisms underlying insulin resistance are not completely understood in skeletal muscle, it is thought to result, at least in part, from impaired insulin-dependent PI3K activation and downstream signaling. This review focuses on the molecular basis of skeletal muscle insulin resistance in obesity and type 2 diabetes. In addition, the effects of insulin-sensitizing agent treatment and lifestyle intervention of human insulin-resistant subjects on insulin signaling cascade are discussed. Furthermore, the role of Rho-kinase, a newly identified regulator of insulin action in insulin control of metabolism, is addressed.
Blood Glucose/*metabolism ; Diabetes Mellitus, Type 2/*metabolism ; Humans ; Insulin/metabolism ; Insulin Resistance/*physiology ; Obesity, Abdominal/*metabolism ; Signal Transduction/physiology

Type 2 diabetes mellitus( T2 DM) is a common chronic metabolic disease characterized by persistent hyperglycemia and insulin resistance. In pancreatic β-cells,glucose-stimulated insulin secretion( GSIS) plays a pivotal role in maintaining the balance of blood glucose level. Previous studies have shown that geniposide,one of the active components of Gardenia jasminoides,could quickly regulate the absorption and metabolism of glucose,and affect glucose-stimulated insulin secretion in pancreatic β cells,but the specific mechanism needs to be further explored. Emerging evidence indicated that glycosylation of glucose transporter( GLUT) has played a key role in sensing cell microenvironmental changes and regulating glucose homeostasis in eucaryotic cells. In this study,we studied the effects of geniposide on the key molecules of GLUT2 glycosylation in pancreatic β cells. The results showed that geniposide could significantly up-regulate the mRNA and protein levels of Glc NAc T-Ⅳa glycosyltransferase( Gn T-Ⅳa) and galectin-9 but had no signi-ficant effect on the expression of clathrin,and geniposide could distinctively regulate the protein level of Gn T-Ⅳa in a short time( 1 h) under the conditions of low and medium glucose concentrations,but had no significant effect on the protein level of galectin-9. In addition,geniposide could also remarkably affect the protein level of glycosylated GLUT2 in a short-time treatment. The above results suggested that geniposide could quickly regulate the protein level of Gn T-Ⅳa,a key molecule of protein glycosylation in INS-1 rat pancreatic βcells and affect the glycosylation of GLUT2. These findings suggested that the regulation of geniposide on glucose absorption,metabolism and glucose-stimulated insulin secretion might be associated with its efficacy in regulating GLUT2 glycosylation and affecting its distribution on the cell membrane and cytoplasm in pancreatic β cells.
Animals ; Diabetes Mellitus, Type 2/metabolism* ; Glucose/metabolism* ; Glycosylation ; Insulin/metabolism* ; Insulin-Secreting Cells/metabolism* ; Iridoids ; Rats

This study aimed to investigate the effects and the underlying mechanism of CD36 gene on glucose and lipid metabolism disorder induced by high-fat diet in mice. Wild type (WT) mice and systemic CD36 knockout (CD36
Animals ; Diet, High-Fat/adverse effects* ; Fatty Liver/metabolism* ; Glucose/metabolism* ; Insulin/metabolism* ; Insulin Resistance ; Lipid Metabolism ; Liver ; Mice ; Triglycerides