Metabolite characterization in serum samples from normal healthy human subjects by 1H and 13C NMR spectroscopy

Misra, Divya; Bajpai, Usha

doi:10.4314/bcse.v23i2.44964

Cited by 13 publications

(4 citation statements)

References 5 publications

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“…1 b) to achieve a better spectral resolution and assign peaks referred to the metabolites with the low molecular weight (<1500 Da), such as: l -valine, l -alanine, and creatine. The peaks assignments were performed in comparison with chemical shifts values that were published previously (Misra and Bajpai 2009 ). It is important to mention that the peaks in T 2 -edited spectra are not appropriate for integration.…”

Section: Discussionmentioning

confidence: 99%

1H-NMR, 1H-NMR T2-edited, and 2D-NMR in bipolar disorder metabolic profiling

Sethi

Pedrini

Rizzo

et al. 2017

Int J Bipolar Disord

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BackgroundThe objective of this study was to identify molecular alterations in the human blood serum related to bipolar disorder, using nuclear magnetic resonance (NMR) spectroscopy and chemometrics.MethodsMetabolomic profiling, employing 1H-NMR, 1H-NMR T2-edited, and 2D-NMR spectroscopy and chemometrics of human blood serum samples from patients with bipolar disorder (n = 26) compared with healthy volunteers (n = 50) was performed.ResultsThe investigated groups presented distinct metabolic profiles, in which the main differential metabolites found in the serum sample of bipolar disorder patients compared with those from controls were lipids, lipid metabolism-related molecules (choline, myo-inositol), and some amino acids (N-acetyl-l-phenyl alanine, N-acetyl-l-aspartyl-l-glutamic acid, l-glutamine). In addition, amygdalin, α-ketoglutaric acid, and lipoamide, among other compounds, were also present or were significantly altered in the serum of bipolar disorder patients. The data presented herein suggest that some of these metabolites differentially distributed between the groups studied may be directly related to the bipolar disorder pathophysiology.ConclusionsThe strategy employed here showed significant potential for exploring pathophysiological features and molecular pathways involved in bipolar disorder. Thus, our findings may contribute to pave the way for future studies aiming at identifying important potential biomarkers for bipolar disorder diagnosis or progression follow-up.Electronic supplementary materialThe online version of this article (doi:10.1186/s40345-017-0088-2) contains supplementary material, which is available to authorized users.

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Section: Discussionmentioning

confidence: 99%

1H-NMR, 1H-NMR T2-edited, and 2D-NMR in bipolar disorder metabolic profiling

Sethi

Pedrini

Rizzo

et al. 2017

Int J Bipolar Disord

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“…In the solid-state NMR analysis, 2D 13 C– 13 C refocused Incredible Natural Abundance DoublE QUAntum Transfer Experiment (INADEQUATE) NMR spectra 52 of 13 C-poplar were obtained using two different τ delay times to detect optimal signal intensities of polysaccharides [ Figure S2(b) ] and aliphatic compounds [ Figure S2(c) ]. The NMR signals were characterized using chemical shift data for cellulose Iβ 40 , amorphous cellulose 53 , lipids 54 55 , and amino acids 50 56 . The MAS- J -HMQC 57 signals of 13 C-poplar were also used to characterize J -based 13 C- 1 H cross peaks of the signals assigned using the characterization [ Figure S2(a) ].…”

Section: Resultsmentioning

confidence: 99%

Multidimensional High-Resolution Magic Angle Spinning and Solution-State NMR Characterization of 13C-labeled Plant Metabolites and Lignocellulose

Mori

Tsuboi

Ishida

et al. 2015

Sci Rep

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Lignocellulose, which includes mainly cellulose, hemicellulose, and lignin, is a potential resource for the production of chemicals and for other applications. For effective production of materials derived from biomass, it is important to characterize the metabolites and polymeric components of the biomass. Nuclear magnetic resonance (NMR) spectroscopy has been used to identify biomass components; however, the NMR spectra of metabolites and lignocellulose components are ambiguously assigned in many cases due to overlapping chemical shift peaks. Using our 13C-labeling technique in higher plants such as poplar samples, we demonstrated that overlapping peaks could be resolved by three-dimensional NMR experiments to more accurately assign chemical shifts compared with two-dimensional NMR measurements. Metabolites of the 13C-poplar were measured by high-resolution magic angle spinning NMR spectroscopy, which allows sample analysis without solvent extraction, while lignocellulose components of the 13C-poplar dissolved in dimethylsulfoxide/pyridine solvent were analyzed by solution-state NMR techniques. Using these methods, we were able to unambiguously assign chemical shifts of small and macromolecular components in 13C-poplar samples. Furthermore, using samples of less than 5 mg, we could differentiate between two kinds of genes that were overexpressed in poplar samples, which produced clearly modified plant cell wall components.

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“…Metabolites were assigned to peaks in these bins through a combination of literature values 59,60 , reference to the human metabolome database (HMDB) 61 , and confirmation with two-dimensional (2D) correlation spectroscopy (COSY). COSY provides confirmation that peaks occupying different positions on the spectrum belong to the same metabolite through cross-peaks that show a correlation between signals.…”

Section: Metabolomics Preliminary Exploratory Data Analysismentioning

confidence: 99%

Post-inflammatory behavioural despair in male mice is associated with reduced cortical glutamate-glutamine ratios, and circulating lipid and energy metabolites

Chan

Probert

Radford-Smith

et al. 2020

Sci Rep

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Post-inflammatory behaviours in rodents are widely used to model human depression and to test the efficacy of novel anti-depressants. Mice injected with lipopolysaccharide (LPS) display a depressive-like phenotype twenty-four hours after endotoxin administration. Despite the widespread use of this model, the mechanisms that underlie the persistent behavioural changes after the transient peripheral inflammatory response remain elusive. The study of the metabolome, the collection of all the small molecule metabolites in a sample, combined with multivariate statistical techniques provides a way of studying biochemical pathways influenced by an LPS challenge. Adult male CD-1 mice received an intraperitoneal injection of either LPS (0.83 mg/kg) or saline, and were assessed for depressive-like behaviour 24 h later. In a separate mouse cohort, pro-inflammatory cytokine gene expression and 1H nuclear magnetic resonance (NMR) metabolomics measurements were made in brain tissue and blood. Statistical analyses included Independent Sample t-tests for gene expression data, and supervised multi-variate analysis using orthogonal partial least squares discriminant analysis for metabolomics. Both plasma and brain metabolites in male mice were altered following a single peripheral LPS challenge that led to depressive-like behaviour in the forced swim test. The plasma metabolites altered by LPS are involved in energy metabolism, including lipoproteins, glucose, creatine, and isoleucine. In the brain, glutamate, serine, and N-acetylaspartate (NAA) were reduced after LPS, whereas glutamine was increased. Serine-modulated glutamatergic signalling and changes in bioenergetics may mediate the behavioural phenotype induced by LPS. In light of other data supporting a central imbalance of glutamate-glutamine cycling in depression, our results suggest that aberrant central glutaminergic signalling may underpin the depressive-like behaviours that result from both inflammation and non-immune pathophysiology. Normalising glutaminergic signalling, rather than seeking to increase serotonergic signalling, might prove to be a more coherent approach to the development of new treatments for mood disorder.

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Metabolite characterization in serum samples from normal healthy human subjects by 1H and 13C NMR spectroscopy

Cited by 13 publications

References 5 publications

1H-NMR, 1H-NMR T2-edited, and 2D-NMR in bipolar disorder metabolic profiling

1H-NMR, 1H-NMR T2-edited, and 2D-NMR in bipolar disorder metabolic profiling

Multidimensional High-Resolution Magic Angle Spinning and Solution-State NMR Characterization of 13C-labeled Plant Metabolites and Lignocellulose

Post-inflammatory behavioural despair in male mice is associated with reduced cortical glutamate-glutamine ratios, and circulating lipid and energy metabolites

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