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Biomedical subjects

J L Griffin

Publications and source records attributed to J L Griffin.

At least 19 recordsLinked to original sources

A metabolomic comparison of urinary changes in type 2 diabetes in mouse, rat, and human.

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.

Animals↗

High-resolution magic-angle spinning 13C NMR spectroscopy of cerebral tissue.

Monitoring the metabolism of (13)C-labelled substrates by biological tissues allows both the rate of metabolism and the relative importance of metabolic pathways to be determined. In this study high-resolution magic-angle spinning (HRMAS) (13)C NMR spectroscopy is assessed as a technique for determining the labelling of metabolites in brain slices. Freshly prepared rat brain slices were superfused in isotonic salt solution containing [1-(13)C] glucose. HRMAS (1)H and (13)C NMR spectra were acquired of the slices ( approximately 10 mg) at 3 degrees C. Using (1)H NMR spectroscopy it was demonstrated that the concentration of key metabolites indicative of metabolic degradation, including N-acetyl aspartate and lactate, did not change significantly across the approximately 11 h time period required for (13)C NMR spectra. The approach produced high-resolution spectra of intact tissue with the labelling patterns of tissues being indicative of both labelling via pyruvate dehydrogenase found in both neuronal and glial cells, and pyruvate carboxylase, found only within glial cells. This approach is a versatile tool for monitoring the compartmentation of metabolites directly, and will also allow the investigation of aqueous and lipid metabolites simultaneously.

Algorithms↗

Metabolic characterization of distinct neuroanatomical regions in rats by magic angle spinning 1H nuclear magnetic resonance spectroscopy.

High-resolution magic angle spinning (HRMAS) (1)H NMR spectroscopy has been applied to the biochemical characterization of specific brain regions in rats in order to establish baseline levels of tissue metabolite profiles with which to compare models of neuropathology or toxic lesion. Cores of tissue (20 mg) from the brain stem, cerebellum, frontal cortex, and hippocampus were obtained from histologically defined coronal slices of brain from 18 male Sprague-Dawley rats. HRMAS (1)H NMR spectra were acquired for each of the regions sampled and the degree of intersample variability, as assessed by principal components analysis and discriminant analysis by projection to latent structure was found to be low. Clear region-specific differences in the biochemical profiles were observed using both comparison of metabolite ratios and/or pattern recognition methods. Relatively low concentrations of GABA in the cerebellum, high concentrations of taurine and N-acetylaspartate in the cortex, and high levels of choline, glycerophosphocholine, and phosphocholine in the hippocampus predominantly influenced the classification of the different brain regions. Additionally, N-acetylaspartylglutamate was detected in the brain stem, but was largely absent from the other regions examined. Such analyses provide a baseline reference for further HRMAS NMR spectroscopic studies to monitor disease and pharmacological insults in specific regions of the brain.

Animals↗

MRS reveals additional hexose N-acetyl resonances in the brain of a mouse model for Sandhoff disease.

Sandhoff disease, one of several related lysosomal storage disorders, results from the build up of N-acetyl-containing glycosphingolipids in the brain and is caused by mutations in the genes encoding the hexosaminidase beta-subunit. Affected individuals undergo progressive neurodegeneration in response to the glycosphingolipid storage. (1)H magnetic resonance spectra of perchloric acid extracts of Sandhoff mouse brain exhibited several resonances ca 2.07 ppm that were not present in the corresponding spectra from extracts of wild-type mouse brain. High-performance liquid chromatography and mass spectrometry of the Sandhoff extracts post-MRS identified the presence of N-acetylhexosamine-containing oligosaccharides, which are the likely cause of the additional MRS resonances. MRS of intact brain tissue with magic angle spinning also showed additional resonances at ca 2.07 ppm in the Sandhoff case. These resonances appeared to increase with disease progression and probably arise, for the most part, from the stored glycosphingolipids, which are absent in the aqueous extracts. Hence in vivo MRS may be a useful tool for detecting early-stage Sandhoff disease and response to treatment.

Animals↗

Chemometric analysis of biofluids following toxicant induced hepatotoxicity: a metabonomic approach to distinguish the effects of 1-naphthylisothiocyanate from its products.

Metabonomics using high-resolution 1H-NMR spectroscopy of biofluids and pattern recognition is highly successful at distinguishing both organ- and sub-organ-specific toxicity. In the current study, this technique was investigated to distinguish the different biological effects caused by 1-naphthylisothiocyanate (ANIT)-induced hepatotoxicity in the rat from that induced by exposure to 1-naphthylisocyanate (NI) and 1-naphthylamine (NA), two products of the metabolism of ANIT. While all three toxicants produced perturbations in similar urinary metabolites, principal components analysis of the temporal progression identified that the rapid initial glycosuria associated with ANIT toxicity was also present with NI but not NA dosing. However, longer-term perturbations in the urinary excretion of succinate, lactate and acetate were common to all three toxicants. The metabolic effects of the three compounds were also followed in blood plasma and liver tissue. Of the three toxicants, the most marked perturbations were induced by ANIT exposure, then NI, thereby indicating the effects of ANIT, NI and NA toxicity were distinct, with ANIT being the most, and NA the least, toxic of the three compounds. This indicates that metabonomics may be useful for following severity and mechanisms of toxicity in a series of related compounds during drug development.

1-Naphthylamine↗

Localization of organelle proteins by isotope tagging (LOPIT).

We describe a proteomics method for determining the subcellular localization of membrane proteins. Organelles are partially separated using centrifugation through self-generating density gradients. Proteins from each organelle co-fractionate and therefore exhibit similar distributions in the gradient. Protein distributions can be determined through a series of pair-wise comparisons of gradient fractions, using cleavable ICAT to enable relative quantitation of protein levels by MS. The localization of novel proteins is determined using multivariate data analysis techniques to match their distributions to those of proteins that are known to reside in specific organelles. Using this approach, we have simultaneously demonstrated the localization of membrane proteins in both the endoplasmic reticulum and the Golgi apparatus in Arabidopsis. Localization of organelle proteins by isotope tagging is a new tool for high-throughput protein localization, which is applicable to a wide range of research areas such as the study of organelle function and protein trafficking.

Arabidopsis↗

Defining a metabolic phenotype in the brain of a transgenic mouse model of spinocerebellar ataxia 3.

Many of the spinocerebellar ataxias (SCAs) are caused by expansions of CAG trinucleotide repeats encoding abnormal stretches of polyglutamine. SCA3 or Machado-Joseph disease (MJD) is the commonest dominant inherited ataxia disease, with pathological phenotypes apparent with a CAG triplet repeat length of 61-84. In this study a mouse model of SCA3 has been examined which was produced using a human yeast artificial chromosome containing the MJD gene with a CAG triplet expansion of 84 repeats. These mice have previously been shown to possess a mild progressive cerebellar deficit. NMR-based metabolomics/metabonomics in conjunction with multivariate pattern recognition identified a number of metabolic perturbations in SCA3 mice. These changes included a consistent increase in glutamine concentration in tissue extracts of the cerebellum and cerebrum and spectra obtained from intact tissue using magic angle spinning (1)H-NMR spectroscopy. Furthermore, these profiles demonstrated metabolic abnormalities were present in the cerebrum, a region not previously implicated in SCA3. As well as an increase in glutamine both brain regions demonstrated decreases in GABA, choline, phosphocholine and lactate (representing the summation of lactate in vivo, and postmortem glycolysis of glucose and glycogen). The metabolic changes are discussed in terms of the formation of neuronal intranuclear inclusions associated with SCA3. This study suggests high-resolution (1)H-NMR spectroscopy coupled with pattern recognition may provide a rapid method for assessing the phenotype of animal models of human disease.

Animals↗

Mitochondrial dysfunction in schizophrenia: evidence for compromised brain metabolism and oxidative stress.

The etiology and pathophysiology of schizophrenia remain unknown. A parallel transcriptomics, proteomics and metabolomics approach was employed on human brain tissue to explore the molecular disease signatures. Almost half the altered proteins identified by proteomics were associated with mitochondrial function and oxidative stress responses. This was mirrored by transcriptional and metabolite perturbations. Cluster analysis of transcriptional alterations showed that genes related to energy metabolism and oxidative stress differentiated almost 90% of schizophrenia patients from controls, while confounding drug effects could be ruled out. We propose that oxidative stress and the ensuing cellular adaptations are linked to the schizophrenia disease process and hope that this new disease concept may advance the approach to treatment, diagnosis and disease prevention of schizophrenia and related syndromes.

Brain↗

Metabonomics: its potential as a tool in toxicology for safety assessment and data integration.

The functional genomic techniques of transcriptomics and proteomics promise unparalleled global information during the drug development process. However, if these technologies are used in isolation the large multivariate data sets produced are often difficult to interpret, and have the potential of missing key metabolic events (e.g. as a result of experimental noise in the system). To better understand the significance of these megavariate data the temporal changes in phenotype must be described. High resolution 1H NMR spectroscopy used in conjunction with pattern recognition provides one such tool for defining the dynamic phenotype of a cell, organ or organism in terms of a metabolic phenotype. In this review the benefits of this metabonomics/metabolomics approach to problems in toxicology will be discussed. One of the major benefits of this approach is its high throughput nature and cost effectiveness on a per sample basis. Using such a method the consortium for metabonomic toxicology (COMET) are currently investigating approximately 150 model liver and kidney toxins. This investigation will allow the generation of expert systems where liver and kidney toxicity can be predicted for model drug compounds, providing a new research tool in the field of drug metabolism. The review will also include how metabonomics may be used to investigate co-responses with transcripts and proteins involved in metabolism and stress responses, such as during drug induced fatty liver disease. By using data integration to combine metabolite analysis and gene expression profiling key perturbed metabolic pathways can be identified and used as a tool to investigate drug function.

Animals↗

A study of metabolic compartmentation in the rat heart and cardiac mitochondria using high-resolution magic angle spinning 1H NMR spectroscopy.

High-resolution magic angle spinning (MAS) (1)H nuclear magnetic resonance (NMR) spectroscopy is increasingly being used to monitor metabolic abnormalities within cells and intact tissues. Many toxicological insults and metabolic diseases affect subcellular organelles, particularly mitochondria. In this study high-resolution (1)H NMR spectroscopy was used to examine metabolic compartmentation between the cytosol and mitochondria in the rat heart to investigate whether biomarkers of mitochondrial dysfunction could be identified and further define the mitochondrial environment. High-resolution MAS spectra of mitochondria revealed NMR signals from lactate, alanine, taurine, choline, phosphocholine, creatine, glycine and lipids. However, spectra from mitochondrial extracts contained additional well-resolved resonances from valine, methionine, glutamine, acetoacetate, succinate, and aspartate, suggesting that a number of metabolites bound within the mitochondrial membranes occur in 'NMR invisible' environments. This effect was further investigated using diffusion-weighted measurements of water and NMR spectroscopy during state 2 and state 3 respiration. State 3 respiration caused a decrease in the resonance intensity of endogenous succinate compared with state 2 respiration, suggesting that coupled respiration may also modulate the NMR detection of metabolites within mitochondria.

Amino Acids↗

Cellular environment of metabolites and a metabonomic study of tamoxifen in endometrial cells using gradient high resolution magic angle spinning 1H NMR spectroscopy.

High resolution magic angle spinning (HRMAS) 1H NMR spectroscopy was used to metabolically characterise Ishikawa cells, a human cell line derived from endometrial adenocarcinoma. The spectra obtained had well-resolved resonances from the nucleotide derivatives of uridine and adenosine. Using a combination of diffusion- and relaxation-weighted spectroscopy, the cellular environment of key metabolites previously identified as related to cell growth was also investigated. As Ishikawa cells are hormone-responsive, the metabolic action of tamoxifen, a selective estrogen receptor modulator (SERM), was also investigated. Cells were exposed to 5, 1 and 0.1 microM tamoxifen. Using the statistical regression technique of prediction to latent structures by partial least squares, a predictive model was built modelling the metabolic profile of the cells against exposure to tamoxifen. These spectral changes were characterised by increased resonance intensities from ethanolamine (3.26 ppm), glucose (3.34-3.94 ppm), glutamate (2.14, 2.32 ppm), tyrosine (7.24 ppm), uridine (7.85 ppm) and adenosine (8.20 ppm), and a relative decrease in contributions from myo-inositol resonances (3.30, 3.62, 3.55 ppm). The nucleotide changes suggest that tamoxifen affects RNA transcription, while the changes in ethanolamine and myo-inositol concentrations are indicative of cell membrane turnover.

Adenocarcinoma↗

High-resolution diffusion and relaxation-edited magic angle spinning 1H NMR spectroscopy of intact liver tissue.

High-resolution magic angle spinning (HRMAS) (1)H NMR spectroscopy is ideal for monitoring the metabolic environment within tissues, particularly when spectra are weighted by physical properties such as T(1) and T(2) relaxation times and apparent diffusion coefficients (ADCs). In this study, spectral-editing using T(1) and T(2) relaxation times and ADCs at variable diffusion times was used in conjunction with HRMAS (1)H NMR spectroscopy at 14.1 T in liver tissue. To enhance the sensitivity of ADC measurements to low molecular weight metabolites a T(2) spin echo was included in a standard stimulated gradient spin-echo sequence. Fatty liver induced in rats by chronic orotic acid feeding was investigated using this modified sequence. An increase in the combined ADC for the co-resonant peaks glucose, betaine, and TMAO during fatty liver disease was detected (ADCs = 0.60 +/- 0.11 and 0.35 +/- 0.1 * 10(-9) m(2)s(-1) (n = 3) for rats fed with and without orotic acid), indicative of a reduction in glucose and betaine and an increase in TMAO.

Animals↗

Compartmentation of metabolism probed by [2-13C]alanine: improved 13C NMR sensitivity using a CryoProbe detects evidence of a glial metabolon.

The labelling of metabolites with the NMR active nucleus 13C allows not only metabolite enrichments to be monitored, but also the relative fluxes through competing pathways to be delineated. [2-13C, 15N]alanine was used as a metabolic probe to investigate compartmentation in superfused cerebral slices. Perchloric acid extracts of the tissue were investigated using 13C NMR spectroscopy. The spectra were obtained using a CryoProbe optimised for 13C detection (dual CryoProbe [13C, 1H]) in which the receiver and transmitter coils are cooled to approximately 20K to reduce contributions to noise in the signal obtained. Compared with conventional inverse geometry probe, the signal-to-noise ratio (S/N) was increased by approximately 17-fold using this device. A large proportion of alanine was initially metabolised over the first 20 min by glial cells, as indicated by the relative importance of the glial, only enzyme pyruvate carboxylase to the labelling pattern of glutamate, with the ratio of pyruvate carboxylase to pyruvate dehydrogenase derived glutamate being 0.25, and exported [2-13C, 15N]aspartate. Using the increased sensitivity of the CryoProbe, [2-13C, 15N]aspartate was also detected in the extracts of cerebral tissue. This metabolite could only have been derived via the pyruvate carboxylase pathway, and given the large export of the metabolite into the superfusion buffer suggests the occurrence of a "metabolon" arrangement of enzymes within glial cells.

Alanine↗

Vitamin E deficiency and metabolic deficits in neuronal ceroid lipofuscinosis described by bioinformatics.

The mnd mouse, a model of neuronal ceroid lipofusinosis (NCL), has a profound vitamin E deficiency in sera and brain, associated with cerebral deterioration characteristic of NCL. In this study, the vitamin E deficiency is corrected using dietary supplementation. However, the histopathological features associated with NCL remained. With use of a bioinformatics approach based on high-resolution solid and solution state 1H-NMR spectroscopy and principal component analysis (PCA), the deficits associated with NCL are defined in terms of a metabolic phenotype. Although vitamin E supplementation reversed some of the metabolic abnormalities, in particular the concentration of phenylalanine in extracts of cerebral tissue, PCA demonstrated that metabolic deficits associated with NCL were greater than any effects produced from vitamin E supplementation. These deficits included increased glutamate and N-acetyl-L-aspartate and decreased creatine and glutamine concentrations in aqueous extracts of the cortex, as well as profound accumulation of lipid in intact cerebral tissue. This is discussed in terms of faulty production of mitochondrial-associated membranes, thought to be central to the deficits in mnd mice.

Animals↗

Metabolic profiles of dystrophin and utrophin expression in mouse models of Duchenne muscular dystrophy.

Metabolic profiles from (1)H nuclear magnetic resonance spectroscopy have been used to describe both one and two protein systems in four mouse models related to Duchenne muscular dystrophy using the pattern recognition technique partial least squares. Robust statistical models were built for extracts and intact cardiac tissue, distinguishing mice according to expression of dystrophin. Using metabolic profiles of diaphragm, models were built describing dystrophin and utrophin, a dystrophin related protein, expression. Increased utrophin expression counteracted some of the deficits associated with dystrophic tissue. This suggests the method may be ideal for following treatment regimes such as gene therapy.

Animals↗

Choline containing metabolites during cell transfection: an insight into magnetic resonance spectroscopy detectable changes.

Increases in choline containing metabolites have been associated with a number of disorders, including malignant cell growth. In this study, high resolution magic angle spinning (1)H nuclear magnetic resonance spectroscopy was employed to monitor metabolite changes during cell transfection, and an increase in phosphocholine was detected. This increase appears to be correlated with cell membrane disruption associated with the insertion of plasmid DNA into cells, since the level of phosphocholine in mock transfected cells was comparable to that of control cells. These data suggest choline containing metabolite changes detected in vivo using magnetic resonance spectroscopy relate to cell membrane disruption.

Choline↗

Metabolic profiling of genetic disorders: a multitissue (1)H nuclear magnetic resonance spectroscopic and pattern recognition study into dystrophic tissue.

A principal problem in understanding the functional genomics of a pathology is the wide-reaching biochemical effects that occur when the expression of a given protein is altered. To complement the information available to bioinformatics through genomic and proteomic approaches, a novel method of providing metabolite profiles for a disease is suggested, using pattern recognition coupled with (1)H NMR spectroscopy. Using this technique the mdx mouse, a model of Duchenne muscular dystrophy (DMD) was examined. Dystrophic tissue had distinct metabolic profiles not only for cardiac and other muscle tissues, but also in the cerebral cortex and cerebellum, where the role of dystrophin is still controversial. These metabolic ratios were expressed crudely as biomarker ratios to demonstrate the effectiveness of the approach at separating dystrophic from control tissue (cardiac (taurine/creatine): mdx = 2.08 +/- 0.04, control 1.55 +/- 0.04, P < 0.005; cortex (phosphocholine/taurine): mdx = 1.28 +/- 0.12, control = 0.83 +/- 0.05, P < 0.01; cerebellum (glutamate/creatine): mdx = 0.49 +/- 0.03, control = 0.34 +/- 0.03, P < 0.01). This technique produced new metabolic biomarkers for following disease progression but also demonstrated that many metabolic pathways are perturbed in dystrophic tissue.

Animals↗

Abnormal lipid profile of dystrophic cardiac tissue as demonstrated by one- and two-dimensional magic-angle spinning (1)H NMR spectroscopy.

Dystrophin, a protein associated with sarcolemma and cell membranes, is not expressed in sufferers of Duchenne muscular dystrophy (DMD), or in the mdx mouse. DMD is a fatal disorder, with a significant proportion of fatalities associated with cardiac failure ( approximately 40% having dilated cardiomyopathy and >90% clinically significant cardiac defects at death). In this study, the metabolic composition of intact dystrophic cardiac tissue was investigated using high-resolution magic-angle spinning (HRMAS) (1)H NMR spectroscopy with both 1- and 2D pulse sequences coupled with pattern recognition (PR). While conventional solvent presaturation spectra indicated increases in CH(2) chain length in lipids, PR analysis of correlation spectroscopy (COSY) spectra demonstrated that this was also accompanied by an increase in concentration of lactate or threonine along with a relative decrease in CH = CHCH(2)CO groups in these lipids. To investigate the physical environment of these lipids, T(2)- and diffusion-weighted (1)H MAS NMR spectra were acquired on whole-tissue samples. The relatively increased lipid signal intensity in dystrophic tissue was due to an increase in molecules with long T(2) and short diffusion rates. The use of a range of pulse programs allowed the direct probing of the biochemical environment in which the lipid infiltration occurred, and by coupling the experiments to PR the significance of lipid infiltration and accumulation was also assessed.

Animals↗