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

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

Insulin resistance plays a central role in type 2 diabetes and obesity, which develop as a consequence of genetic and environmental factors. Dietary changes including high fat diet (HFD) feeding promotes insulin resistance in rodent models which present useful systems for studying interactions between genetic background and environmental influences contributing to disease susceptibility and progression. We applied a combination of classical physiological, biochemical and hormonal studies and plasma (1)H NMR spectroscopy-based metabonomics to characterize the phenotypic and metabotypic consequences of HFD (40%) feeding in inbred mouse strains (C57BL/6, 129S6, BALB/c, DBA/2, C3H) frequently used in genetic studies. We showed the wide range of phenotypic and metabonomic adaptations to HFD across the five strains and the increased nutrigenomic predisposition of 129S6 and C57BL/6 to insulin resistance and obesity relative to the other strains. In contrast mice of the BALB/c and DBA/2 strains showed relative resistance to HFD-induced glucose intolerance and obesity. Hierarchical metabonomic clustering derived from (1)H NMR spectral data of the strains provided a phylometabonomic classification of strain-specific metabolic features and differential responses to HFD which closely match SNP-based phylogenetic relationships between strains. Our results support the concept of genomic clustering of functionally related genes and provide important information for defining biological markers predicting spontaneous susceptibility to insulin resistance and pathological adaptations to fat feeding.
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PMID:Phylometabonomic patterns of adaptation to high fat diet feeding in inbred mice. 1830 46

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

The study of the mechanism of amyloid fibril formation and its inhibition is of key medical importance due to the lack of amyloid assembly inhibitors that are approved for clinical use. We have previously demonstrated the potent inhibitory potential of phenolsulfonphthalein, a nontoxic compound that was approved for diagnostic use in human subjects, on aggregation of islet amyloid polypeptide (IAPP) that is associated with type 2 diabetes. Here, we extend our studies on the mechanism of action of phenolsulfonphthalein by comparing its antiamyloidogenic effect to a very similar compound that is also approved for human use, phenolphthalein. While these compounds have very similar primary chemical structures, they significantly differ in their three-dimensional conformation. Our results clearly demonstrated that these two compounds had completely different inhibitory potencies: While phenolsulfonphthalein was a very potent inhibitor of amyloid fibril formation by IAPP, phenolphthalein did not show significant antiamyloidogenic activity. This behavior was observed with a short amyloid fragment of IAPP and also with the full-length polypeptide. The NMR spectrum of IAPP 20-29 in the presence of phenolsulfonphthalein showed chemical shift deviations that were different from the unbound or phenolphthalein-bound peptide. Differential activity was also observed in the inhibition of insulin amyloid formation by these two compounds, and density-gradient experiments clearly demonstrated the different inhibitory effect of the two compounds on the formation of prefibrillar assemblies. Taken together, our studies suggest that the three-dimensional arrangement of the polyphenol phenolsulfonphthalein has a central role in its amyloid formation inhibition activity.
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PMID:Phenolsulfonphthalein, but not phenolphthalein, inhibits amyloid fibril formation: implications for the modulation of amyloid self-assembly. 1845 21

During the search for natural substances with PPAR-gamma agonistic effect, unique polychlorinated compounds named chlorophellins A-C have been isolated together with the known compound, drosophilin A, from the methanolic extract of the fruiting body of the fungus Phellinus ribis. Their structures were assigned on the basis of NMR and mass spectrometric analyses. Chlorophellin C of compounds tested exhibited the most potent PPAR-gamma agonistic effect and was comparable to rosiglitazone, a well-known PPAR-gamma agonist that has been used for the therapy of type 2 diabetes.
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PMID:Polychlorinated compounds with PPAR-gamma agonistic effect from the medicinal fungus Phellinus ribis. 1866 8

Optimizing NMR experimental parameters for high-throughput metabolic phenotyping requires careful examination of the total biochemical information obtainable from (1)H NMR data, which includes concentration and molecular dynamics information. Here we have applied two different types of mathematical transformation (calculation of the first derivative of the NMR spectrum and Gaussian shaping of the free-induction decay) to attenuate broad spectral features from macromolecules and enhance the signals of small molecules. By application of chemometric methods such as principal component analysis (PCA), orthogonal projections to latent structures discriminant analysis (O-PLS-DA) and statistical spectroscopic tools such as statistical total correlation spectroscopy (STOCSY), we show that these methods successfully identify the same potential biomarkers as spin-echo (1)H NMR spectra in which broad lines are suppressed via T2 relaxation editing. Finally, we applied these methods for identification of the metabolic phenotype of patients with type 2 diabetes. This "virtual" relaxation-edited spectroscopy (RESY) approach can be particularly useful for high-throughput screening of complex mixtures such as human plasma and may be useful for extraction of latent biochemical information from legacy or archived NMR data sets for which only standard 1D data sets exist.
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PMID:Optimization of human plasma 1H NMR spectroscopic data processing for high-throughput metabolic phenotyping studies and detection of insulin resistance related to type 2 diabetes. 1875 60

Troglitazone (TGZ) was developed for the treatment of type 2 diabetes but was withdrawn from the market due to hepatotoxicity. The formation of reactive metabolites has been associated with the observed hepatotoxicity. Such reactive metabolites have been proposed to be formed via three different mechanisms. One of the proposed mechanisms involves the oxidation of the chromane moiety of TGZ to a reactive o-quinone methide. The two other mechanisms involve metabolic activation of the thiazolidinedione moiety of TGZ. In the present study, it is shown that electrochemical oxidations can be used to generate a reactive metabolite of TGZ, which can be trapped by GSH or N-acetylcysteine. From incubations of TGZ with rat and human liver microsomes in the presence of either GSH or N-acetylcysteine, it was shown that similar conjugates were formed in vitro as formed from electrochemical oxidations of TGZ. One- and two-dimensional NMR studies of the troglitazone- S-( N-acetyl)cysteine conjugate revealed that N-acetylcysteine was attached to a benzylic carbon in the chromane moiety, showing that the conjugate was formed via a reaction between the o-quinone methide of TGZ and N-acetylcysteine. From electrochemical oxidations of rosiglitazone, pioglitazone, and ciglitazone in the presence of GSH, no GSH conjugates could be identified. These three compounds all contain a thiazolidinedione moiety. In conclusion, it has been shown that the primary reactive metabolite of TGZ formed from electrochemical oxidation was the o-quinone methide, and this metabolite was similar to what was observed to be the primary reaction product in human and rat liver microsomes.
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PMID:Electrochemical oxidation of troglitazone: identification and characterization of the major reactive metabolite in liver microsomes. 1878 55

Disruption of the cellular membrane by the amyloidogenic peptide IAPP (or amylin) has been implicated in beta-cell death during type 2 diabetes. While the structure of the mostly inert fibrillar form of IAPP has been investigated, the structural details of the highly toxic prefibrillar membrane-bound states of IAPP have been elusive. A recent study showed that a fragment of IAPP (residues 1-19) induces membrane disruption to a similar extent as the full-length peptide. However, unlike the full-length IAPP peptide, IAPP(1-19) is conformationally stable in an alpha-helical conformation when bound to the membrane. In vivo and in vitro measurements of membrane disruption indicate the rat version of IAPP(1-19), despite differing from hIAPP(1-19) by the single substitution of Arg18 for His18, is significantly less toxic than hIAPP(1-19), in agreement with the low toxicity of the full-length rat IAPP peptide. To investigate the origin of this difference at the atomic level, we have solved the structures of the human and rat IAPP(1-19) peptides in DPC micelles. While both rat and human IAPP(1-19) fold into similar mostly alpha-helical structures in micelles, paramagnetic quenching NMR experiments indicate a significant difference in the membrane orientation of hIAPP(1-19) and rIAPP(1-19). At pH 7.3, the more toxic hIAPP(1-19) peptide is buried deeper within the micelle, while the less toxic rIAPP(1-19) peptide is located at the surface of the micelle. Deprotonating H18 in hIAPP(1-19) reorients the peptide to the surface of the micelle. This change in orientation is in agreement with the significantly reduced ability of hIAPP(1-19) to cause membrane disruption at pH 6.0. This difference in peptide topology in the membrane may correspond to similar topology differences for the full-length human and rat IAPP peptides, with the toxic human IAPP peptide adopting a transmembrane orientation and the nontoxic rat IAPP peptide bound to the surface of the membrane.
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PMID:Structures of rat and human islet amyloid polypeptide IAPP(1-19) in micelles by NMR spectroscopy. 1898 32

We describe a full structural model for amyloid fibrils formed by the 40-residue beta-amyloid peptide associated with Alzheimer's disease (Abeta(1-40)), based on numerous constraints from solid state NMR and electron microscopy. This model applies specifically to fibrils with a periodically twisted morphology, with twist period equal to 120 +/- 20 nm (defined as the distance between apparent minima in fibril width in negatively stained transmission electron microscope images). The structure has threefold symmetry about the fibril growth axis, implied by mass-per-length data and the observation of a single set of (13)C NMR signals. Comparison with a previously reported model for Abeta(1-40) fibrils with a qualitatively different, striated ribbon morphology reveals the molecular basis for polymorphism. At the molecular level, the 2 Abeta(1-40) fibril morphologies differ in overall symmetry (twofold vs. threefold), the conformation of non-beta-strand segments, and certain quaternary contacts. Both morphologies contain in-register parallel beta-sheets, constructed from nearly the same beta-strand segments. Because twisted and striated ribbon morphologies are also observed for amyloid fibrils formed by other polypeptides, such as the amylin peptide associated with type 2 diabetes, these structural variations may have general implications.
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PMID:Molecular structural basis for polymorphism in Alzheimer's beta-amyloid fibrils. 1901 32

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


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