Metabolomic Analysis of Rat Brain by High Resolution Nuclear Magnetic Resonance Spectroscopy of Tissue Extracts

Studies of gene expression on the RNA and protein levels have long been used to explore biological processes underlying disease. More recently, genomics and proteomics have been complemented by comprehensive quantitative analysis of the metabolite pool present in biological systems. This strategy, termed metabolomics, strives to provide a global characterization of the small-molecule complement involved in metabolism. While the genome and the proteome define the tasks cells can perform, the metabolome is part of the actual phenotype. Among the methods currently used in metabolomics, spectroscopic techniques are of special interest because they allow one to simultaneously analyze a large number of metabolites without prior selection for specific biochemical pathways, thus enabling a broad unbiased approach. Here, an optimized experimental protocol for metabolomic analysis by high-resolution NMR spectroscopy is presented, which is the method of choice for efficient quantification of tissue metabolites. Important strengths of this method are (i) the use of crude extracts, without the need to purify the sample and/or separate metabolites; (ii) the intrinsically quantitative nature of NMR, permitting quantitation of all metabolites represented by an NMR spectrum with one reference compound only; and (iii) the nondestructive nature of NMR enabling repeated use of the same sample for multiple measurements. The dynamic range of metabolite concentrations that can be covered is considerable due to the linear response of NMR signals, although metabolites occurring at extremely low concentrations may be difficult to detect. For the least abundant compounds, the highly sensitive mass spectrometry method may be advantageous although this technique requires more intricate sample preparation and quantification procedures than NMR spectroscopy. We present here an NMR protocol adjusted to rat brain analysis; however, the same protocol can be applied to other tissues with minor modifications.     

Characterization of Metabolites in IntactStreptomyces citricolorCulture Supernatants Using High-Resolution Nuclear Magnetic Resonance and Directly Coupled High-Pressure Liquid Chromatography–Nuclear Magnetic Resonance Spectroscopy

A novel NMR spectroscopic approach to the direct biochemical characterization of bacterial culture broths is presented. A variety of one- and two-dimensional 1H NMR spectroscopic methods were used to characterize low-molecular-weight organic components of broth supernatants from cultures of Streptomyces citricolor. By applying 1H NMR spectroscopy to analyze whole, untreated culture supernatants, it was possible to identify and monitor simultaneously a range of media substrates and excreted metabolites. Identified metabolites include 2-phenylethylamine, trehalose, succinate, acetate, uridine, and aristeromycin, a secondary metabolite with antibiotic properties. Directly coupled HPLC-NMR spectroscopy was also applied to the analysis of broth supernatants for the first time, to aid spectral assignments, especially where signals were extensively overlapped in the 1H NMR spectra of the whole broth mixtures. Two-dimensional NMR methods such as 1H-1H correlation spectroscopy, 1H-13C heteronuclear single quantum correlation, and 1H-13C heteronuclear multiple bond correlation aided the structure elucidation and peak assignments of individual components in the mixtures by providing information on 1H-1H coupling networks and 13C chemical shifts. This work shows that high-resolution NMR spectroscopic methods provide a rapid and efficient means of investigating microbial metabolism directly without invasive or destructive sample pretreatment.     

Metabolic profiling, metabolomic and metabonomic procedures for NMR spectroscopy of urine, plasma, serum and tissue extracts

Metabolic profiling, metabolomic and metabonomic studies mainly involve the multicomponent analysis of biological fluids, tissue and cell extracts using NMR spectroscopy and/or mass spectrometry (MS). We summarize the main NMR spectroscopic applications in modern metabolic research, and provide detailed protocols for biofluid (urine, serum/plasma) and tissue sample collection and preparation, including the extraction of polar and lipophilic metabolites from tissues. 1H NMR spectroscopic techniques such as standard 1D spectroscopy, relaxation-edited, diffusion-edited and 2D J-resolved pulse sequences are widely used at the analysis stage to monitor different groups of metabolites and are described here. They are often followed by more detailed statistical analysis or additional 2D NMR analysis for biomarker discovery. The standard acquisition time per sample is 4-5 min for a simple 1D spectrum, and both preparation and analysis can be automated to allow application to high-throughput screening for clinical diagnostic and toxicological studies, as well as molecular phenotyping and functional genomics.     

Advances of high-resolution NMR techniques in the structural and metabolic analysis of plant biochemistry

Rapid progress in instrumentation and software made nuclear magnetic resonance spectroscopy (NMR) one of the most powerful analytical methods in biological sciences. Whereas the development of multidimensional NMR pulse sequences is an ongoing process, a small subset of two-dimensional NMR experiments is typically sufficient for the rapid structure determination of small metabolites. The use of sophisticated three- and four-dimensional NMR experiments enables the determination of the three-dimensional structures of proteins with a molecular weight up to 100 kDa, and solution structures of more than 100 plant proteins have been established by NMR spectroscopy. NMR has also been introduced to the emerging field of metabolomics where it can provide unbiased information about metabolite profiles of plant extracts. In recent times, high-resolution NMR has become a key technology for the elucidation of biosynthetic pathways and metabolite flux via quantitative assessment of multiple isotopologues. This review summarizes some of the recent advances of high-resolution NMR spectroscopy in the field of plant sciences.     

Rapid Etiological Classification of Meningitis by NMR Spectroscopy Based on Metabolite Profiles and Host Response

Bacterial meningitis is an acute disease with high mortality that is reduced by early treatment. Identification of the causative microorganism by culture is sensitive but slow. Large volumes of cerebrospinal fluid (CSF) are required to maximise sensitivity and establish a provisional diagnosis.We have utilised nuclear magnetic resonance (NMR) spectroscopy to rapidly characterise the biochemical profile of CSF from normal rats and animals with pneumococcal or cryptococcal meningitis. Use of a miniaturised capillary NMR system overcame limitations caused by small CSF volumes and low metabolite concentrations. The analysis of the complex NMR spectroscopic data by a supervised statistical classification strategy included major, minor and unidentified metabolites.Reproducible spectral profiles were generated within less than three minutes, and revealed differences in the relative amounts of glucose, lactate, citrate, amino acid residues, acetate and polyols in the three groups. Contributions from microbial metabolism and inflammatory cells were evident. The computerised statistical classification strategy is based on both major metabolites and minor, partially unidentified metabolites. This data analysis proved highly specific for diagnosis (100% specificity in the final validation set), provided those with visible blood contamination were excluded from analysis; 6–8% of samples were classified as indeterminate.This proof of principle study suggests that a rapid etiologic diagnosis of meningitis is possible without prior culture. The method can be fully automated and avoids delays due to processing and selective identification of specific pathogens that are inherent in DNA-based techniques.     

In vivo 31P and multilabel 13C NMR measurements for evaluation of plant metabolic pathways

Reliable measurements of intracellular metabolites are useful for effective plant metabolic engineering. This study explored the application of in situ 31P and 13C NMR spectroscopy for long-term measurements of intracellular pH and concentrations of several metabolites in glycolysis, glucan synthesis, and central carbon metabolic pathways in plant tissues. An NMR perfusion reactor system was designed to allow Catharanthus roseus hairy root cultures to grow for 3-6 weeks, during which time NMR spectroscopy was performed. Constant cytoplasmic pH (7.40+/-0.06), observed during the entire experiment, indicated adequate oxygenation. 13C NMR spectroscopy was performed on hairy root cultures grown in solutions containing 1-13C-, 2-13C-, and 3-13C-labeled glucose in separate experiments and the flow of label was monitored. Activities of pentose phosphate pathways, nonphotosynthetic CO2 fixation, and glucan synthesis pathways were evident from the experimental results. Scrambling of label in glucans also indicated recycling of triose phosphate and their subsequent conversion to hexose phosphates.     

Discrimination models using variance-stabilizing transformation of metabolomic NMR data

After the extensive work that is being done in the areas of genomics, proteomics, and metabolomics, the study of metabolites has come of interest in its own right. Metabolites in biological systems give an understanding of the state of the system and provide a powerful tool for the study of disease and other maladies. Several analytical techniques such as mass spectrometry and high-resolution NMR spectroscopy have been used to study metabolites. The data, however, from these techniques remains quite complex. Traditionally, multivariate analyses have been used for such data. These methods however have an underlying assumption that the data is multivariate normal with a constant variance. This is not necessarily the case. It has been shown that a generalized log transformation renders the variance of the data constant effectively making the data more suitable for multivariate analysis. We demonstrate the effectiveness of these transformations on NMR data taken on a set of 18 abalone that were categorized as either being healthy, stunted, or diseased. We show how the transformation makes multivariate classification of the abalone into the healthy, stunted and diseased categories much more effective and gives a tool for identifying potential metabolic biomarkers for disease.     

An introduction to biological nuclear magnetic resonance spectroscopy

Nuclear magnetic resonance (NMR) spectroscopy is one of the most powerful analytical techniques available to biology. This review is an introduction to the potential of this method and is aimed at readers who have little or no experience in acquiring or analyzing NMR spectra. We focus on spectroscopic applications of the magnetic resonance effect, rather than imaging ones, and explain how various aspects of the NMR phenomenon make it a versatile tool with which to address a number of biological problems. Using detailed examples, we discuss the use of ¹H NMR spectroscopy in mixture analysis and metabolomics, the use of ¹³C NMR spectroscopy in tracking isotopomers and determining the flux through metabolic pathways (‘fluxomics’) and the use of ³¹P NMR spectroscopy in monitoring ATP generation and intracellular pH homeotasis in vivo. Further examples demonstrate how NMR spectroscopy can be used to probe the physical environment of a cell by measuring diffusion and the tumbling rates of individual metabolites and how it can determine macromolecular structures by measuring the bonds and distances which separate individual atoms. We finish by outlining some of the key challenges which remain in NMR spectroscopy and we highlight how recent advances—such as increased magnet field strengths, cryogenic cooling, microprobes and hyperpolarisation—are opening new avenues for today's biological NMR spectroscopists.     

Metabolic differentiation of Arabidopsis treated with methyl jasmonate using nuclear magnetic resonance spectroscopy

NMR spectroscopy combined with principal component analysis was applied to Arabidopsis thaliana treated with methyl jasmonate in order to obtain macroscopic metabolic changes caused by the treatment. As the first step several chromatographic and NMR spectroscopic techniques were utilized to identify metabolites of Arabidopsis. Sephadex LH-20 showed a high efficiency in the separation of phenolic metabolites in the plant. For identification of minor metabolites two-dimensional J-resolved NMR technique was directly applied to the plant extract and results in a number of elucidation of the metabolites of which signals overlap in ¹H NMR spectra. The chemical structure of the identified metabolites were confirmed by various two-dimensional NMR spectroscopy including correlated spectroscopy, heteronuclear single quantum coherence, and heternuclear multiple bond correlation. As next step, a statistical approach, principal component analysis based on projected J-resolved NMR spectra was performed for metabolic alteration of methyl jasmonate-treated Arabidopsis. The results show that methyl jasmonate caused an increase of flavonoids, fumaric acid, sinapoyl malate, sinigrin, tryptophan, valine, threonine, and alanine and a decrease of malic acid, feruloyl malate, glutamine, and carbohydrates after 24 h treatment.     

Biological 1H NMR spectroscopy

Proton nuclear magnetic resonance spectroscopy (1H NMR) is a powerful analytical method used to identify and quantitate chemical compounds. In recent years, it has been used to study rates of metabolism in microbes, isolated perfused tissues, intact animals, and human beings. This review highlights some of the more recent biological applications of 1H NMR in the study of metabolic pathophysiology in animals and man. 1H NMR can rapidly analyze complex mixtures of metabolites found in body fluid and biopsy specimens. In vivo 1H NMR methods can measure intracellular pH, a wide variety of metabolites, tissue perfusion, and rates of metabolism of endogenous and exogenous compounds. Using 13C labeled compounds or magnetization transfer techniques metabolic fluxes may be measured in vivo during virtually all normal and abnormal physiological conditions.     

NMR metabolomic of frontal cortex extracts: First study comparing two neurodegenerative diseases,Alzheimer disease and amyotrophic lateral sclerosis

ObjectiveThis study was designed to assess the brain metabolites’ variability between two neurodegenerative diseases in frontal cortex samples obtained post-mortem. NMR metabolomics was used for the first time in this context.Materials and methods¹H NMR metabolomic was applied to tissue extracts from patients with Alzheimer disease (ALZ) and patients with amyotrophic lateral sclerosis (ALS) to investigate qualitative and quantitative variations of brain metabolites.ResultsThe Alzheimer disease metabolic signature was characterized by a high concentration of alanine, acetate, glutamate and glutamine, and low concentrations of lactate and creatine, while the ALS metabolic signature appears to be marked by high concentrations of lactate, N-acetyl aspartate, creatine, choline and myo-inositol. Moreover, in vitro ¹H NMR could detect metabolites such as 3-hydroxybutyrate, alanine, succinate and aspartate that cannot be detected with in vivo NMR.DiscussionThe neurodegenerative diseases exhibit diverging metabolic pathways. Some of the metabolites responsible for the discrimination between the two diseases were detected before in vivo. However, this in vitro metabolomic investigation demonstrates the involvement of metabolites not detected with in vivo studies.ConclusionUpon these findings, in vitro metabolomics appears to be an efficient tool to investigate the fundamentals of the metabolic pathway modulations in these neurodegenerative diseases to help the interpretation of clinical data obtained with in vivo NMR spectroscopy.     

Simultaneous tracers and a unified model of positional and mass isotopomers for quantification of metabolic flux in liver

Computational models based on the metabolism of stable isotope tracers can yield valuable insight into the metabolic basis of disease. The complexity of these models is limited by the number of tracers and the ability to characterize tracer labeling in downstream metabolites. NMR spectroscopy is ideal for multiple tracer experiments since it precisely detects the position of tracer nuclei in molecules, but it lacks sensitivity for detecting low-concentration metabolites. GC-MS detects stable isotope mass enrichment in low-concentration metabolites, but lacks nuclei and positional specificity. We performed liver perfusions and in vivo infusions of ²H and ¹³C tracers, yielding complex glucose isotopomers that were assigned by NMR and fit to a newly developed metabolic model. Fluxes regressed from ²H and ¹³C NMR positional isotopomer enrichments served to validate GC-MS-based flux estimates obtained from the same experimental samples. NMR-derived fluxes were largely recapitulated by modeling the mass isotopomer distributions of six glucose fragment ions measured by GC-MS. Modest differences related to limited fragmentation coverage of glucose C1–C3 were identified, but fluxes such as gluconeogenesis, glycogenolysis, cataplerosis and TCA cycle flux were tightly correlated between the methods. Most importantly, modeling of GC-MS data could assign fluxes in primary mouse hepatocytes, an experiment that is impractical by ²H or ¹³C NMR.     

From metabolic to metabolomic NMR spectroscopy of apoptotic cells

Over the past 10–15 years, nuclear magnetic resonance (NMR) spectroscopy has been employed to study metabolic events accompanying programmed cell death (apoptosis). The early studies were characterized by experiments focusing on specific metabolic parameters obtained by analyzing a limited number of biochemical compounds, e.g. selected metabolic species involved in the Krebs cycle, in energy metabolism, in phospholipid synthesis and degradation, or in mobile-lipid accumulation. However, during the past few years metabolic NMR spectroscopy has begun to refocus towards more comprehensive analyses of tissue metabolites detectable in NMR spectra. This review describes some requirements needed for the development of an integrated, metabolomic concept for NMR spectroscopy investigations of apoptotic cells, and presents recent studies approaching this goal. Metabolomic NMR spectroscopy allows one not only to distinguish between cells that are sensitive to apoptosis induction and resistant cells, but also, in conjunction with measurements of complementary biological parameters, to follow the temporal evolution of the apoptotic process and to analyze mechanisms of apoptosis resistance.     

Assessment of Cardiac Function and Energetics in Isolated Mouse Hearts Using 31P NMR Spectroscopy

Bioengineered mouse models have become powerful research tools in determining causal relationships between molecular alterations and models of cardiovascular disease. Although molecular biology is necessary in identifying key changes in the signaling pathway, it is not a surrogate for functional significance. While physiology can provide answers to the question of function, combining physiology with biochemical assessment of metabolites in the intact, beating heart allows for a complete picture of cardiac function and energetics. For years, our laboratory has utilized isolated heart perfusions combined with nuclear magnetic resonance (NMR) spectroscopy to accomplish this task. Left ventricular function is assessed by Langendorff-mode isolated heart perfusions while cardiac energetics is measured by performing ³¹P magnetic resonance spectroscopy of the perfused hearts. With these techniques, indices of cardiac function in combination with levels of phosphocreatine and ATP can be measured simultaneously in beating hearts. Furthermore, these parameters can be monitored while physiologic or pathologic stressors are instituted. For example, ischemia/reperfusion or high workload challenge protocols can be adopted. The use of aortic banding or other models of cardiac pathology are apt as well. Regardless of the variants within the protocol, the functional and energetic significance of molecular modifications of transgenic mouse models can be adequately described, leading to new insights into the associated enzymatic and metabolic pathways. Therefore, ³¹P NMR spectroscopy in the isolated perfused heart is a valuable research technique in animal models of cardiovascular disease.     

Metabonomics evaluation of urine from rats given acute and chronic doses of acetaminophen using NMR and UPLC/MS

Urinary metabolic perturbations associated with acute and chronic acetaminophen-induced hepatotoxicity were investigated using nuclear magnetic resonance (NMR) spectroscopy and ultra performance liquid chromatography/mass spectrometry (UPLC/MS) metabonomics approaches to determine biomarkers of hepatotoxicity. Acute and chronic doses of acetaminophen (APAP) were administered to male Sprague-Dawley rats. NMR and UPLC/MS were able to detect both drug metabolites and endogenous metabolites simultaneously. The principal component analysis (PCA) of NMR or UPLC/MS spectra showed that metabolic changes observed in both acute and chronic dosing of acetaminophen were similar. Histopathology and clinical chemistry studies were performed and correlated well with the PCA analysis and magnitude of metabolite changes. Depletion of antioxidants (e.g. ferulic acid), trigonelline, S-adenosyl-l-methionine, and energy-related metabolites indicated that oxidative stress was caused by acute and chronic acetaminophen administration. Similar patterns of metabolic changes in response to acute or chronic dosing suggest similar detoxification and recovery mechanisms following APAP administration.     

Automated SPE-RP-HPLC fractionation of biofluids combined to off-line NMR spectroscopy for biomarker identification in metabonomics

NMR-based metabonomics is a valuable and straightforward approach to measuring hundreds of metabolites in complex biofluids. However, metabolite identification is sometimes limited by overlapped signals in NMR spectra. We describe a new methodology using an automated hyphenation of solid phase extraction (SPE) with RP-HPLC combined to NMR spectroscopy, which allowed identification of 72 metabolites of various molecular classes in human urine. This methodology was also successfully applied to the fractionation of a cat urine sample to aid identification of aromatic compounds and felinine. The SPE-RP-HPLC method appears to be a reliable tool to support biomarker discovery in metabonomic studies.     

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.     

Identification of metabolites of importance in the pathogenesis of pulmonary cryptococcoma using nuclear magnetic resonance spectroscopy

Primary lung infection with Cryptococcus neoformans is characterised by circumscribed lesions (cryptococcomas). To identify cryptococcal and/or host products of importance in pathogenesis, we applied proton nuclear magnetic resonance (NMR) spectroscopy, which identifies mobile compounds present in complex mixtures, to experimental pulmonary cryptococcomas from rats. Magnetic resonance experiments were performed on cryptococcomas (n = 10) and healthy lungs (n = 8). Signal assignment to key metabolites was confirmed by homo-nuclear and hetero-nuclear NMR correlation spectroscopy. Cryptococcal metabolites, dominating spectra from cryptococcomas included the stress protectants, trehalose and mannitol, acetate, and in some animals, ethanol. Glycerophosphorylcholine was also abundant in cryptococcomas, consistent with hydrolysis of phospholipids in vivo by the cryptococcal enzyme, phospholipase B (PLB). PLB has been identified by molecular studies as a cryptococcal virulence determinant. We propose that PLB secreted by cryptococci promotes tissue invasion by hydrolysing host phospholipids, such as dipalmitoyl phosphatidyl choline, which is abundant in pulmonary surfactant, and lung cell membrane phospholipids. Our results confirm the utility of NMR spectroscopy in studies of microbial pathogenesis.     

Rapid identification of Candida species by using nuclear magnetic resonance spectroscopy and a statistical classification strategy

Nuclear magnetic resonance (NMR) spectra were acquired from suspensions of clinically important yeast species of the genus Candida to characterize the relationship between metabolite profiles and species identification. Major metabolites were identified by using two-dimensional correlation NMR spectroscopy. One-dimensional proton NMR spectra were analyzed by using a staged statistical classification strategy. Analysis of NMR spectra from 442 isolates of Candida albicans, C. glabrata, C. krusei, C. parapsilosis, and C. tropicalis resulted in rapid, accurate identification when compared with conventional and DNA-based identification. Spectral regions used for the classification of the five yeast species revealed species-specific differences in relative amounts of lipids, trehalose, polyols, and other metabolites. Isolates of C. parapsilosis and C. glabrata with unusual PCR fingerprinting patterns also generated atypical NMR spectra, suggesting the possibility of intraspecies discontinuity. We conclude that NMR spectroscopy combined with a statistical classification strategy is a rapid, nondestructive, and potentially valuable method for identification and chemotaxonomic characterization that may be broadly applicable to fungi and other microorganisms.