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Query: UMLS:C0011860 (type 2 diabetes)
 57,723 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Insulin-receptor internalization and processing are defective in insulin-resistant subjects. To assess the reversibility of these defects, we cultured Epstein-Barr virus-transformed-lymphoblasts from six normal, six obese, and six non-insulin-dependent diabetic (NIDDM) subjects in media containing low (5 mmol/l) or high (25 mmol/l) glucose concentrations, and studied the insulin-receptor internalization and processing in vitro. In cells from normal, obese, and NIDDM subjects cultured in low glucose concentrations, exposure to 100 nmol/l insulin for 30 min at 37 degrees C reduced cell-surface 125I-insulin binding to a similar extent (82 +/- 2, 77 +/- 5, and 82 +/- 5% of initial values, respectively). The same results were obtained with cells cultured in high glucose concentrations. In cells cultured under both glucose conditions, and exposed to 100 nmol/l insulin for 30 min at 37 degrees C, a complete recovery of the initial 125I-insulin binding was observed in normal but not in obese and NIDDM subjects. Release of intracellular insulin and its degradation in vitro was determined by incubating cells with 600 pmol/l of 125I-insulin for 60 min at 37 degrees C, acid washing cells, and re-incubating in insulin-free buffer at 37 degrees C. The radioactivity released by cells was characterized by trichloroacetic acid precipitability, Sephadex G-50 column chromatography, and re-binding to fresh cells. Rates of release of internalized radioactivity were reduced in obese and NIDDM subjects (t1/2 = 61 +/- 9 min, p < 0.02; 58 +/- 10 min, p < 0.05; and 38 +/- 4 min in obese, NIDDM, and normal subjects, respectively). The percentage of intact insulin released from cells was significantly higher in obese and NIDDM subjects than in the normal subjects. The t1/2 of intracellular dissociation of insulin-receptor complexes measured by a polyethylene glycol assay was lower in normal (6 +/- 1 min) than in obese (12 +/- 2 min, p < 0.03) and NIDDM subjects (14 +/- 3 min, p < 0.02). The results suggest that in insulin-resistant subjects a primary defect in intracellular dissociation of insulin is responsible for alterations of receptor recycling and insulin processing.
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PMID:Delayed intracellular dissociation of the insulin-receptor complex impairs receptor recycling and insulin processing in cultured Epstein-Barr virus-transformed lymphocytes from insulin-resistant subjects. 872 74

Selected esters of succinic acid are currently under investigation as possible insulinotropic tools in the treatment of non-insulin-dependent diabetes mellitus. Novel esters with high insulinotropic efficiency were recently synthesized. The present study concerns the effects of two of these novel esters, namely glycerol-1,2-dimethylsuccinate (2.5 mM) and propanediol-1,2-dimethylsuccinate (1.0 mM), upon the release of insulin and the de novo biosynthesis of peptides in islets from hereditarily diabetic Goto-Kakizaki rats. Whereas D-glucose (2.8 to 16.7 mM) caused a concentration-related stimulation of insulin release in the islets of the diabetic rats, the two esters of succinic acid only increased modestly, and often not significantly, insulin secretion. Nevertheless, they both markedly increased the incorporation of L-[4-3H]phenylalanine into trichloroacetic acid-precipitable material in islets deprived of any other exogenous nutrient. These findings indicate that, at variance with all pharmaceutical agents presently used or proposed as insulin secretagogues in the treatment of type 2 diabetes, glycerol-1,2-dimethylsuccinate and propanediol-1,2-dimethylsuccinate, considered as islet cell nutrients, display, in addition to their insulinotropic action, the property of stimulating biosynthetic activity in the endocrine pancreas of animals affected by this disease.
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PMID:Effects of glycerol-1,2-dimethylsuccinate and propanediol-1,2-dimethylsuccinate on insulin release and protein biosynthesis in islets of Goto-Kakizaki rats. 943 19

Type 2 diabetes mellitus is the result of a combination of impaired insulin secretion with reduced insulin sensitivity of target tissues. There are an estimated 150 million affected individuals worldwide, of whom a large proportion remains undiagnosed because of a lack of specific symptoms early in this disorder and inadequate diagnostics. In this study, NMR-based metabolomic analysis in conjunction with multivariate statistics was applied to examine the urinary metabolic changes in two rodent models of type 2 diabetes mellitus as well as unmedicated human sufferers. The db/db mouse and obese Zucker (fa/fa) rat have autosomal recessive defects in the leptin receptor gene, causing type 2 diabetes. 1H-NMR spectra of urine were used in conjunction with uni- and multivariate statistics to identify disease-related metabolic changes in these two animal models and human sufferers. This study demonstrates metabolic similarities between the three species examined, including metabolic responses associated with general systemic stress, changes in the TCA cycle, and perturbations in nucleotide metabolism and in methylamine metabolism. All three species demonstrated profound changes in nucleotide metabolism, including that of N-methylnicotinamide and N-methyl-2-pyridone-5-carboxamide, which may provide unique biomarkers for following type 2 diabetes mellitus progression.
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PMID:A metabolomic comparison of urinary changes in type 2 diabetes in mouse, rat, and human. 1719 Aug 52

Metabolites generated from fuel metabolism in pancreatic beta-cells control exocytosis of insulin, a process which fails in type 2 diabetes. To identify and quantify these metabolites, global and unbiased analysis of cellular metabolism is required. To this end, polar metabolites, extracted from the clonal 832/13 beta-cell line cultured at 2.8 and 16.7 mM glucose for 48 h, were derivatized followed by identification and quantification, using gas chromatography (GC) and mass spectrometry (MS). After culture at 16.7 mM glucose for 48 h, 832/13 beta-cells exhibited a phenotype reminiscent of glucotoxicity with decreased content and secretion of insulin. The metabolomic analysis revealed alterations in the levels of 7 metabolites derived from glycolysis, the TCA cycle and pentose phosphate shunt, and 4 amino acids. Principal component analysis of the metabolite data showed two clusters, corresponding to the cells cultured at 2.8 and 16.7 mM glucose, respectively. Concurrent changes in protein expression were analyzed by 2-D gel electrophoresis followed by LC-MS/MS. The identities of 86 spots corresponding to 75 unique proteins that were significantly different in 832/13 beta-cells cultured at 16.7 mM glucose were established. Only 5 of these were found to be metabolic enzymes that could be involved in the metabolomic alterations observed. Anticipated changes in metabolite levels in cells exposed to increased glucose were observed, while changes in enzyme levels were much less profound. This suggests that substrate availability, allosteric regulation, and/or post-translational modifications are more important determinants of metabolite levels than enzyme expression at the protein level.
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PMID:Metabolomic and proteomic analysis of a clonal insulin-producing beta-cell line (INS-1 832/13). 1806 66

Insulin resistance is a hallmark of type 2 diabetes and commonly observed in other energy-stressed settings such as obesity, starvation, inactivity and ageing. Dyslipidaemia and 'lipotoxicity'--tissue accumulation of lipid metabolites-are increasingly recognized as important drivers of insulin resistant states. Mounting evidence suggests that lipid-induced metabolic dysfunction in skeletal muscle is mediated in large part by stress-activated serine kinases that interfere with insulin signal transduction. However, the metabolic and molecular events that connect lipid oversupply to stress kinase activation and glucose intolerance are as yet unclear. Application of transcriptomics and targeted mass spectrometry-based metabolomics tools has led to our finding that insulin resistance is a condition in which muscle mitochondria are persistently burdened with a heavy lipid load. As a result, high rates of beta-oxidation outpace metabolic flux through the TCA cycle, leading to accumulation of incompletely oxidized acyl-carnitine intermediates. In contrast, exercise training enhances mitochondrial performance, favouring tighter coupling between beta-oxidation and the TCA cycle, and concomitantly restores insulin sensitivity in animals fed a chronic high fat diet. The exercise-activated transcriptional co-activator, PGC1alpha, plays a key role in co-ordinating metabolic flux through these two intersecting metabolic pathways, and its suppression by overfeeding may contribute to obesity-associated mitochondrial dysfunction. Our emerging model predicts that muscle insulin resistance arises from mitochondrial lipid stress and a resultant disconnect between beta-oxidation and TCA cycle activity. Understanding this 'disconnect' and its molecular basis may lead to new therapeutic targets for combating metabolic disease.
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PMID:Lipid-induced metabolic dysfunction in skeletal muscle. 1826 72

Metabolomics aims to profile all the small molecule metabolites found within a cell, tissue, organ, or organism and use this information to understand a biological manipulation such as a drug intervention or a gene knockout. While neither mass spectrometry or NMR spectroscopy, the two most commonly used analytical tools in metabolomics, can provide a complete coverage of the metabolome, compared with other functional genomic tools for profiling biological moieties the approach is cheap and high throughput. In diabetes and obesity research this has provided the opportunity to assess large human populations or investigate a range of different tissues in animal studies both rapidly and cheaply. However, the approach has a number of major challenges, particularly with the interpretation of the data obtained. For example, some key pathways are better represented by high concentration metabolites inside the cell, and thus, the coverage of the metabolome may become biased towards these pathways (e.g., the TCA cycle, amino acid metabolism). There is also the challenge of statistically modeling datasets with large numbers of variables but relatively small sample sizes. This perspective discusses our own experience of some of the benefits and pitfalls with using metabolomics to understand diseases associated with type 2 diabetes.
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PMID:Current challenges in metabolomics for diabetes research: a vital functional genomic tool or just a ploy for gaining funding? 1841 82

We describe a multi-platform ((1)H NMR, LC-MS, microarray) investigation of metabolic disturbances associated with the leptin receptor defective (db/db) mouse model of type 2 diabetes using novel assignment methodologies. For the first time, several urinary metabolites were found to be associated with diabetes and/or diabetes progression and confirmed in both NMR and LC-MS datasets. The confirmed metabolites were trimethylamine-n-oxide (TMAO), creatine, carnitine, and phenylalanine. TMAO and phenylalanine were both elevated in db/db mice and decreased in these mice with age. Levels of both creatine and carnitine increase in diabetic mice with age and creatine was also significantly decreased in db/db mice. Additionally, many metabolic markers were found by either NMR or LC-MS, but could not be found in both, due to instrumental limitations. This indicates that the combined use of NMR and LC-MS instrumentation provides complementary information that would be otherwise unattainable. Pathway analyses of urinary metabolites and liver, muscle, and adipose tissue transcripts from the db/db model were also performed to identify altered biochemical processes in the diabetic mice. Metabolite and liver transcript levels associated with the TCA cycle and steroid processes were altered in db/db mice. In addition, gene expression in muscle and liver associated with fatty acid processing was altered in the diabetic mice and similar evidence was observed in the LC-MS data. Our findings highlight the importance of a number of processes known to be associated with diabetes and reveal tissue specific responses to the condition. When studying metabolic disorders such as diabetes, multiple platform integrated profiling of metabolite alterations in biofluids can provide important insights into the processes underlying the disease.
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PMID:Multi-platform investigation of the metabolome in a leptin receptor defective murine model of type 2 diabetes. 1908 41

Understanding the metabolic basis of glucose intolerances and insulin resistance is essential to facilitate early diagnosis, satisfactory therapies and personalized treatments of type 2 diabetes (T2DM). Here, we analyzed the serum metabolic variations from 231 human participants with normal glucose tolerance (NGT, n = 80, M/F = 34/46, mean age 53 +/- 10 years), impaired glucose regulation (IGR, n = 77, M/F = 33/44, mean age 51 +/- 10 years) and T2DM (n = 74, M/F = 32/42, mean age 51 +/- 9 years) to establish the relationship between the serum metabolite compositions and the development of diabetes. By using the proton nuclear magnetic resonance spectroscopy in conjunction with the multivariate data analysis, we found that the development of both glucose intolerances and insulin resistances are closely correlated with the progressive changes of human serum metabonome. Compared with NGT subjects, the IGR and T2DM participants showed clear dysfunctions of choline metabolism, glucose metabolism, lipid and amino acid metabolisms, and disruptions of TCA cycle. The insulin resistance statuses were closely associated with the serum metabonomic changes in terms of glucose, fatty acid and protein/amino acid metabolisms. We also found greater metabonomic heterogeneity among the populations with T2DM and high insulin resistance status. These findings provide useful information to bridge the gaps in our understandings to the metabolic alterations associated with the progression of glucose intolerances and insulin resistance status.
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PMID:Human serum metabonomic analysis reveals progression axes for glucose intolerance and insulin resistance statuses. 1969 61

Type 2 diabetes mellitus (T2DM) is a disorder characterized by both insulin resistance and impaired insulin secretion. Recent transcriptomics studies related to T2DM have revealed changes in expression of a large number of metabolic genes in a variety of tissues. Identification of the molecular mechanisms underlying these transcriptional changes and their impact on the cellular metabolic phenotype is a challenging task due to the complexity of transcriptional regulation and the highly interconnected nature of the metabolic network. In this study we integrate skeletal muscle gene expression datasets with human metabolic network reconstructions to identify key metabolic regulatory features of T2DM. These features include reporter metabolites--metabolites with significant collective transcriptional response in the associated enzyme-coding genes, and transcription factors with significant enrichment of binding sites in the promoter regions of these genes. In addition to metabolites from TCA cycle, oxidative phosphorylation, and lipid metabolism (known to be associated with T2DM), we identified several reporter metabolites representing novel biomarker candidates. For example, the highly connected metabolites NAD+/NADH and ATP/ADP were also identified as reporter metabolites that are potentially contributing to the widespread gene expression changes observed in T2DM. An algorithm based on the analysis of the promoter regions of the genes associated with reporter metabolites revealed a transcription factor regulatory network connecting several parts of metabolism. The identified transcription factors include members of the CREB, NRF1 and PPAR family, among others, and represent regulatory targets for further experimental analysis. Overall, our results provide a holistic picture of key metabolic and regulatory nodes potentially involved in the pathogenesis of T2DM.
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PMID:Metabolic network topology reveals transcriptional regulatory signatures of type 2 diabetes. 2036 14

Obesity and type 2 diabetes have reached epidemic proportions; however, scarce information about how these metabolic syndromes influence brain energy and neurotransmitter homeostasis exist. The objective of this study was to elucidate how brain glycogen and neurotransmitter homeostasis are affected by these conditions. [1-(13)C]glucose was administered to Zucker obese (ZO) and Zucker diabetic fatty (ZDF) rats. Sprague-Dawley (SprD), Zucker lean (ZL), and ZDF lean rats were used as controls. Several brain regions were analyzed for glycogen levels along with (13)C-labeling and content of glutamate, glutamine, GABA, aspartate, and alanine. Blood glucose concentrations and (13)C enrichment were determined. (13)C-labeling in glutamate was lower in ZO and ZDF rats in comparison with the controls. The molecular carbon labeling (MCL) ratio between alanine and glutamate was higher in the ZDF rats. The MCL ratios of glutamine and glutamate were decreased in the cerebellum of the ZO and the ZDF rats. Glycogen levels were also lower in this region. These results suggest that the obese and type 2 diabetic models were associated with lower brain glucose metabolism. Glucose metabolism through the TCA cycle was more decreased than glycolytic activity. Furthermore, reduced glutamate-glutamine cycling was also observed in the obese and type 2 diabetic states.
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PMID:Obesity and type 2 diabetes in rats are associated with altered brain glycogen and amino-acid homeostasis. 2042 32


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