NMR Spectroscopy-based Metabolomics Research Articles

Biodynamic, organic and integrated agriculture effects on cv. Italia table grapes juice, over a 3-year period experiment: an 1H NMR spectroscopy-based metabolomics study

BackgroundThe new trend demanding for “natural” agri-food products has encouraged the application of more sustainable and eco-friendly farming methods, which limit or avoid the use of synthetic chemicals. This approach is increasing in viticulture, one of the sectors with the highest commercial value since grapes and derived products are largely consumed foodstuffs, with appreciated nutritional and sensory features. In this work, 1H Nuclear Magnetic Resonance spectroscopy (1H NMR) was applied for the metabolic profiling of cv. Italia table grapes samples, from the same origin area, cultivated with different treatments (biodynamic, organic and integrated) and collected in three subsequent vintages. Multivariate statistical analysis was performed on NMR-data with the aim of comprehensively researching the possible influences on metabolites due to the use of diverse agricultural practices.ResultsBoth inter-annual variability (2020, 2021 and 2022 vintages) and different vineyard treatments (biodynamic, organic and integrated) resulted as significant drivers for samples differentiation in the preliminary unsupervised analysis of the (1H NMR spectra derived) metabolic profile data. Nevertheless, supervised data analyses showed that inter-vineyards variability, due to application of diverse farming methods, had a comparable discriminating effect with respect to harvesting years. Ethanol, sugars (as α-/β-glucose), organic acids (as malate) and amino acids (as arginine, leucine, glutamine) resulted the most viticultural practices-dependent metabolites. Interestingly, results from pairwise comparisons between treatments indicated the biodynamic samples with respect to the organic ones as the best-observed differentiation. This was followed by the biodynamic vs integrated and organic vs integrated samples comparisons, in decreasing discrimination order, as confirmed by the descriptiveness and predictive ability parameters of the corresponding pairwise OPLS-DA models.ConclusionsResults highlighted that metabolites’ composition in cv. Italia table grapes juice is significantly affected by the use of different kinds of vineyard managements (biodynamic, organic and integrated, here investigated). Metabolomics study, here employing 1H NMR spectroscopy combined with multivariate statistical analysis, offers powerful tools to elucidate the metabolic differences among classes of samples.Graphical

Unraveling Compositional Study, Chemometric Analysis, and Cell-Based Antioxidant Potential of Selective High Nutraceutical Value Amaranth Cultivars Using a GC-MS and NMR-Based Metabolomics Approach.

Amaranthus (family Amaranthaceae) is a potentially nutritious pseudocereal also known as a functional food owing to its high nutritional quality grains especially rich in essential amino acids. Emerging study, however, unambiguously indicates that apart from essential nutrients like protein, other phytochemicals present in amaranth seeds provide excellent health benefits. Squalene is one such phytonutrient found in Amaranthus seeds, which is also its largest vegetal source. In this research work, GC-MS and NMR spectroscopy-based metabolomics have been utilized for the compositional analysis of Amaranthus seeds coupled with a multivariate data set. Investigation of nonpolar and polar seed extracts of six different cultivars of amaranth identified 47 primary and secondary metabolites. One-way ANOVA showed significant quantitative metabolic variations in different cultivars of amaranth. Multivariate principal component analysis of both the GC-MS and NMR analyzed data broadly classified in two groups showed significant variations in the polar (lysine, arginine, GABA, and myoinositol) and nonpolar (squalene, tryptophan, and alkylated phenols, which are potential nutraceutical agents) metabolites. The squalene content estimated using HPLC varied significantly (1.61 to 4.72 mg g-1 seed dry weight) among six different cultivars. Positive correlations were found among the cellular antioxidant activity and squalene content. Cultivar AM-3 having the maximum squalene content showed the highest antioxidant activity evaluated on the cellular level over human embryonic kidney cells, clearly revealing potent intercellular reactive oxygen species scavenging capacity and strong membrane lipid peroxidation inhibition potential. Oxidative stress markers such as MDA, SOD, GSH, and CAT levels in cells further corroborated the research work. The study also indicated high concentrations of lysine (80.49 mg g-1 dry seeds) in AM-2, squalene (0.47% by weight) in AM-3, and 2,4-di-tert-butyl phenol (18.64% peak area) and myoinositol (79.07 mg g-1 dry seeds) in AM-5. This novel comparative metabolomic study successfully profiles the nutrient composition of amaranth cultivars and provides the opportunity for the development of nutraceuticals and natural antioxidants from this functional food.

1H NMR spectroscopy-based serum metabolomics analysis of iron deficiency anemia

1H NMR spectroscopy-based serum metabolomics analysis of iron deficiency anemia

Proton NMR spectroscopy-based metabolomics profiling of doxorubicin-silver nanoparticles for metabolites characterization, and chemical metabolism in breast cancer

In this study, doxorubicin (DOX), silver nanoparticles (AgNPs), and DOX-AgNPs were used to screen metabolome activity in breast cancer (BC) cells. DOX and AgNPs may open an avenue for clinical application and BC metabolic inhibitors; however, their metabolic microenvironmental pathways are not well understood. To evaluate metabolic variations in DOX and AgNPs treated BC cells, proton nuclear magnetic resonance (1H NMR) spectra were coupled with univariate and multivariate statistical methods. The 100 µg/mL of DOX, AgNPs, and DOX-AgNPs-treated BC cells were significantly different from untreated BC cells when multivariate pattern recognition of 1H NMR spectrum data was used. The results show that DOX, AgNPs, and DOX-AgNPs reduced energy, amino acids, neurological, and oxidative stress metabolism. An adenosine monophosphate (AMP), an adenosine diphosphate (ADP), an adenosine triphosphate (ATP), glutathione (GSH), glutamine, glutamate, trimethylamine, and xanthine were all significantly affected. As a results, we propose that DOX, AgNPs, and DOX-AgNPs exposure affected an important metabolic pathway, like pyrimidine metabolism, sucrose metabolism, and glutathione metabolism in BC cells. Data AvailabilityData will be made available on request.

NMR-Based Metabolomics for Geographical Discrimination of Adhatoda vasica Leaves.

Adhatoda vasica (L.), Nees is a widespread plant in Asia. It is used in Ayurvedic and Unani medications for the management of various infections and health disorders, especially as a decoction to treat cough, chronic bronchitis, and asthma. Although it has a diverse metabolomic profile, this plant is particularly known for its alkaloids. The present study is the first to report a broad range of present compounds, e.g., α-linolenic acid, acetate, alanine, threonine, valine, glutamate, malate, fumaric acid, sucrose, β-glucose, kaempferol analogues, quercetin analogues, luteolin, flavone glucoside, vasicine and vasicinone, which were identified by NMR spectroscopy-based metabolomics. Multivariate data analysis was used to analyze 1H-NMR bucketed data from a number of Adhatoda vasica leave samples collected from eight different regions in Pakistan. The results showed large variability in metabolomic fingerprints. The major difference was on the basis of longitude/latitude and altitude of the areas, with both primary and secondary metabolites discriminating the samples from various regions.

1H NMR-based metabolomics investigation on the biological effects of paralytic shellfish toxin in mussel Mytilus trossulus

Paralytic shellfish poisoning is a global issue that would benefit from additional screening methods and rapid testing capacities. In this study, we applied 1H NMR spectroscopy-based metabolomics to identify biomarkers of Paralytic Shellfish Toxin (PST) exposure. We characterized the metabolic phenotypes of field-collected Alaskan mussels Mytilus trossulus across a wide range of bioaccumulated PST levels, from 0 to 1590 μg/100 g. A between-level grouping emerged for high (740–1590 μg/100 g) compared to low/non-detect (0–3.91 μg/100 g) PST levels. High levels of PST contamination in mussels were consistent with alterations to energy and amino acid metabolism, and disturbances in osmoregulation. This research demonstrates the effectiveness of 1H NMR-based metabolomics in elucidating the biological effects of paralytic shellfish toxin on the health of wild mussel populations, spatial variation, and identifies a metabolic signature indicative of PST contamination in Mytilus trossulus for potential use in a PSP biomarker panel.

Sunitinib versus Pazopanib Dilemma in Renal Cell Carcinoma: New Insights into the In Vitro Metabolic Impact, Efficacy, and Safety.

Sunitinib and pazopanib are tyrosine kinase inhibitors (TKIs) used as first-line therapy for metastatic renal cell carcinoma (RCC). Although these TKIs are associated with similar survival outcomes, some differences have been reported in their safety profiles. In this work, traditional toxicological endpoints (cell viability and growth, oxidative stress, and nuclear morphology) and 1H NMR spectroscopy-based metabolomics analysis were used to provide new insights into the cytotoxicity and metabolic mechanisms underlying sunitinib and pazopanib treatments. Tumoral (Caki-1) and non-tumoral (HK-2) human renal cells were exposed to clinically relevant concentrations of sunitinib (2 µM) or pazopanib (50 µM). Sunitinib showed selectivity for cancer cells, inhibiting proliferation, and inducing apoptotic death of Caki-1 cells, whereas pazopanib had a similar cytotoxic effect in both tumoral and non-tumoral cells. 1H-NMR metabolomics unveiled a higher impact of sunitinib on the levels of intracellular metabolites of Caki-1 cells (seven dysregulated metabolites), suggesting dysregulations on amino acid, glutathione and glycerophospholipid metabolisms. In contrast, pazopanib had a higher impact on the levels of extracellular metabolites of Caki-1 cells (seven dysregulated metabolites in culture medium), unveiling alterations on amino acid and energetic metabolisms. In HK-2 cells, sunitinib caused only a minor increase in intracellular isoleucine levels, whereas pazopanib induced several alterations on the intracellular (three dysregulated metabolites) and extracellular (three dysregulated metabolites) compartments suggesting changes on amino acid, glycerophospholipid, and energy metabolisms. Our results demonstrate that these TKIs elicit distinct cellular and metabolic responses, with sunitinib showing better in vitro efficacy against target RCC cells and lesser nephrotoxic potential than pazopanib.

1H NMR Spectroscopy-Based Metabolomics Approach to Study the Anti-Stroke Activity of G-3702, a Novel Better Alternative to DL-3-n-Butylphthalide.

Cerebrovascular disease is the leading cause of disability and death, and ischemic stroke accounts for most stroke cases. However, few effective drugs are available for the treatment of ischemic stroke; thus, there is an urgent need to develop effective drugs to treat ischemic stroke. DL-3-n-butylphthalide (NBP) is clinically approved as an anti-ischemic drug in China, but its potential hepatotoxicity limits its use. G-3702 (a structural analogue of NBP) is synthesized with the boron hydroxyl group replacing carbonyl group. G-3702 significantly enhanced the survival of middle cerebral artery occlusion (MCAO) rats, decreased neurobehavioral deficit scores and cerebral infarct volume, comparable with NBP, which was also supported by tissue damage assessment, immunohistochemistry staining, biochemical parameters and ELISA assay. G-3702 showed better anti-stroke activity than NBP according to 1H NMR spectroscopy-based metabolomics analysis, demonstrating the feasibility of metabolomics approach to assess drug efficacy. G-3702 markedly ameliorated energy metabolism, attenuated oxidative and inflammatory stress during ischemia/reperfusion (I/R). G-3702 exhibited good neuroprotective effects against I/R induced injury and favorable little possibility of hepatotoxicity, which made it a promising anti-stroke drug and better NBP alternative.

Integrated microbiome-metabolomics analysis reveals the potential therapeutic mechanism of Zuo-Jin-Wan in ulcerative colitis

BackgroundDysregulation in gut microbiota and host cometabolome contributes to the complicated pathology of ulcerative colitis (UC), while Zuo-Jin-Wan (ZJW), a traditional Chinese medicine has shown therapeutic effects against UC with its underlying mechanism remains elusive. PurposeThis study utilized an integrated analysis combining gut microbiome and host cometabolism to disclose the potential therapeutic mechanism of ZJW on dextran sulfate sodium (DSS)-induced UC in rats. MethodsWe first evaluated the therapeutic effects of ZJW treatment in DSS-induced rat model. 16S rRNA sequencing, 1H NMR spectroscopy-based metabolomics and Spearman correlation analysis were conducted to explore the potential therapeutic mechanism during the treatment. ResultsOur results showed that UC symptoms in ZJW rats were significantly attenuated. Marked decline in microbial diversity in ZJW group was accompanied by its correspondent function adjustment. Specific enrichment of genus Bacteroides, Sutterella, Akkermansia and Roseburia along with the major varying amino acid metabolism and lipid metabolism were observed meantime. Metabolic data further corroborated that ZJW-related metabolic changes were basically gathered in amino acid metabolism, carbohydrate/energy metabolism and lipid metabolism. Of note, some biochemical parameters were deeply implicated with the discriminative microbial genera and metabolites involved in tricarboxylic acid (TCA) cycle and amino acid metabolism, indicating the microbiome-metabolome association in gut microbiota-metabolite-phenotype axis during UC treatment of ZJW. ConclusionFor the first time, integrated microbiome-metabolome analysis depicted that ZJW could alleviate DSS-induced UC in rats via a crosstalk between gut microbiota and host cometabolites.

1H Nuclear Magnetic Resonance: A Future Approach to the Metabolic Profiling of Psychedelics in Human Biofluids?

While psychedelics may have therapeutic potential for treating mental health disorders such as depression, further research is needed to better understand their biological effects and mechanisms of action when considering the development of future novel therapy approaches. Psychedelic research could potentially benefit from the integration of metabonomics by proton nuclear magnetic resonance (1H NMR) spectroscopy which is an analytical chemistry-based approach that can measure the breakdown of drugs into their metabolites and their metabolic consequences from various biofluids. We have performed a systematic review with the primary aim of exploring published literature where 1H NMR analysed psychedelic substances including psilocin, lysergic acid diethylamide (LSD), LSD derivatives, N,N-dimethyltryptamine (DMT), 5-methoxy-N,N-dimethyltryptamine (5-MeO-DMT) and bufotenin. The second aim was to assess the benefits and limitations of 1H NMR spectroscopy-based metabolomics as a tool in psychedelic research and the final aim was to explore potential future directions. We found that the most current use of 1H NMR in psychedelic research has been for the structural elucidation and analytical characterisation of psychedelic molecules and that no papers used 1H NMR in the metabolic profiling of biofluids, thus exposing a current research gap and the underuse of 1H NMR. The efficacy of 1H NMR spectroscopy was also compared to mass spectrometry, where both metabonomics techniques have previously shown to be appropriate for biofluid analysis in other applications. Additionally, potential future directions for psychedelic research were identified as real-time NMR, in vivo 1H nuclear magnetic resonance spectroscopy (MRS) and 1H NMR studies of the gut microbiome. Further psychedelic studies need to be conducted that incorporate the use of 1H NMR spectroscopy in the analysis of metabolites both in the peripheral biofluids and in vivo to determine whether it will be an effective future approach for clinical and naturalistic research.

NMR-based metabolomics revealed metabolic changes in energy production for viral replication and immunological response in rock bream (Oplegnathus fasciatus) tissues during rock bream iridovirus (RBIV) infection

Outbreaks of rock bream iridovirus (RBIV) infection in rock bream (Oplegnathus fasciatus) were continuously recorded, and these infections lead to vast economic losses in the aquaculture industry. However, metabolomic, proteomic, and transcriptomic studies in rock bream infected with RBIV are limited. In this study, metabolic responses in tissues of rock bream with different infection degrees of control (0C) and heavy-infected fish (0H) at 0 week, and fish with low viral titer at 3 week (3 L)-were observed by high-resolution magic-angle spinning (HR-MAS) NMR spectroscopy-based metabolomics, with multivariate, and pathway-based analyses being used to aid interpretation. In the liver, significant metabolic pathways related to energy metabolism such as glutamine and glutamate metabolism and the TCA cycle were observed only in 0H. Additionally, 0C and 3 L were clustered in the OPLS-DA (orthogonal partial least squares discriminant analysis) score plot, and 3 L showed no significant pathways compared to 0C. Thus, it is assumed that lightly infected fish (3 L) were survived from heavy-infection after 3 weeks. In the spleen, the metabolites relevant to energy production and immune response including pyruvate metabolism, the TCA cycle and branched-chain amino acid (BCAA) metabolism were changed in 0H. These results suggest that RBIV induced rapid and high energy production in the spleen by promoting both the Warburg effect, and the TCA cycle for their replication. In the kidney, elevation of the kynurenine pathway, which is related to the immunological response, and decreased osmolytes such as trimethylamine N-oxide and betaine were observed in 0H. We found that RBIV induced various disturbances in metabolism in host cells through viral replication and protective responses in the host. This study is the first metabolomics study of rock bream infected in RBIV using HR-MAS NMR spectroscopy, providing insights into how cellular metabolism is affected during RBIV infection. These results can be used as a resource to evaluate the mechanism of host-pathogen interactions.

Symptomatology and Serum Nuclear Magnetic Resonance Metabolomics; Do They Predict Endometriosis in Fertile Women Undergoing Laparoscopic Sterilisation? A Prospective Cross-sectional Study

Endometriosis is a common, chronic inflammatory condition, thought to have a higher incidence in symptomatic women, yet, commonly associated symptoms do not always correlate with the presence or severity of disease and diagnosis requires surgery. We prospectively collected data and assessed symptomology and NMR spectroscopy-based metabolomics of 102 women undergoing laparoscopic sterilisation at a tertiary referral centre in a cross-sectional study. Twelve women were incidentally diagnosed with endometriosis (11.7%). According to the pre-operative questionnaire, presence and absence of many symptoms usually attributed to endometriosis were declared at similar frequencies in women with or without endometriosis. Women with endometriosis reported apparently more persistent heavy periods (50% vs 18.9%), prolonged periods (25% versus 7.8%) and problems conceiving (27.3% versus 9%) than those without endometriosis. NMR could not discern any distinguishable differences in the serum metabolome between those with and without endometriosis. Our paper highlights the complex symptomology experienced by women, regardless of a surgical diagnosis of endometriosis. Previous literature and the current study failed to identify clear, distinguishable symptoms or biomarkers pertinent to surgically confirmed endometriosis in the general population. Therefore, development of effective, non-invasive tests for identifying this heterogenous benign condition, endometriosis, is likely to be challenging.

Spontaneously Resolving Joint Inflammation Is Characterised by Metabolic Agility of Fibroblast-Like Synoviocytes.

Fibroblast-like synoviocytes (FLS) play an important role in maintaining joint homeostasis and orchestrating local inflammatory processes. When activated during injury or inflammation, FLS undergo transiently increased bioenergetic and biosynthetic demand. We aimed to identify metabolic changes which occur early in inflammatory disease pathogenesis which might support sustained cellular activation in persistent inflammation. We took primary human FLS from synovial biopsies of patients with very early rheumatoid arthritis (veRA) or resolving synovitis, and compared them with uninflamed control samples from the synovium of people without arthritis. Metabotypes were compared using NMR spectroscopy-based metabolomics and correlated with serum C-reactive protein levels. We measured glycolysis and oxidative phosphorylation by Seahorse analysis and assessed mitochondrial morphology by immunofluorescence. We demonstrate differences in FLS metabolism measurable after ex vivo culture, suggesting that disease-associated metabolic changes are long-lasting. We term this phenomenon ‘metabolic memory’. We identify changes in cell metabolism after acute TNFα stimulation across disease groups. When compared to FLS from patients with early rheumatoid arthritis, FLS from patients with resolving synovitis have significantly elevated mitochondrial respiratory capacity in the resting state, and less fragmented mitochondrial morphology after TNFα treatment. Our findings indicate the potential to restore cell metabotypes by modulating mitochondrial function at sites of inflammation, with implications for treatment of RA and related inflammatory conditions in which fibroblasts play a role.

High-Resolution Liquid Chromatography-Mass Spectrometry-Based Metabolomic Discrimination of Citrus-Type Crude Drugs and Comparison with Nuclear Magnetic Resonance Spectroscopy-Based Metabolomics.

Five Citrus-type crude drugs (40 samples) were classified using liquid chromatography-mass spectrometry (LC-MS)-based metabolomics. The following six flavonoid derivatives were identified as contributors from the loading plots of multivariate analysis: naringin (1), neohesperidin (2), neoeriocitrin (3), narirutin (9), hesperidin (10), and 3,5,6,7,8,3',4'-heptamethoxyflavone (12). Three coumarin derivatives, namely, meranzin (6), meranzin hydrate (7), and meranzin glucoside (8), were also identified as contributors. Furthermore, compared with our previous studies on proton (1H) and 13C NMR spectroscopy-based metabolomics, the present study revealed that the Citrus-type crude drugs were distinguished with the same pattern; however, the contributors differed between the 1H and 13C NMR spectroscopy-based metabolomics. The high dynamic range of NMR spectroscopy provided broad coverage of the metabolomes including the primary and secondary metabolites. However, LC-MS appeared to be superior in detecting secondary metabolites with high sensitivity, some of which occurred in quantities that were undetectable using NMR spectroscopy.

Metabolomic Analysis by Nuclear Magnetic Resonance Spectroscopy as a New Approach to Understanding Inflammation and Monitoring of Pharmacological Therapy in Children and Young Adults With Cystic Fibrosis.

15-F2t-Isoprostane, a reliable biomarker of oxidative stress, has been found elevated in exhaled breath condensate (EBC), a non-invasive technique for sampling of airway secretions, in patients with cystic fibrosis (CF). Azithromycin has antioxidant properties in experimental models of CF, but its effects on oxidative stress in CF patients are largely unknown. Primary objective of this pilot, proof-of-concept, prospective, parallel group, pharmacological study, was investigating the potential antioxidant effects of azithromycin in CF patients as reflected by EBC 15-F2t-isoprostane. Secondary objectives included studying the effect of azithromycin on EBC and serum metabolic profiles, and on serum 15-F2t-isoprostane. In CF patients who were on maintenance treatment with oral vitamin E (200 UI once daily), treatment with oral azithromycin (250 or 500 mg depending on body weight) plus vitamin E (400 UI once daily) (group A) (n = 24) or oral vitamin E alone (400 UI once daily) (group B) (n = 21) was not associated with changes in EBC 15-F2t-isoprostane concentrations compared with baseline values after 8–weeks treatment or 2 weeks after treatment suspension. There was no between-group difference in post-treatment EBC 15-F2t-isoprostane. Likewise, no within- or between-group differences in serum 15-F2t-isoprostane concentrations were observed in either study group. NMR spectroscopy-based metabolomics of EBC shows that suspension of both azithromycin plus vitamin E and vitamin E alone has a striking effect on metabolic profiles in EBC. Between-group comparisons show that EBC metabolite distribution after treatment and 2 weeks after treatment suspension is different. Quantitative differences in ethanol, saturated fatty acids, acetate, acetoin/acetone, and methanol are responsible for these differences. Our study was unable to show antioxidant effect of azithromycin as add-on treatment with doubling the dose of oral vitamin E as reflected by 15-F2t-isoprostane concentrations in EBC. Add-on therapy with azithromycin itself does not induce EBC metabolite changes, but its suspension is associated with EBC metabolic profiles that are different from those observed after vitamin E suspension. The pathophysiological and therapeutic implications of these findings in patients with stable CF are unknown and require further research. Preliminary data suggest that EBC NMR-based metabolomics might be used for assessing the effects of pharmacological treatment suspension in stable CF patients.

NMR-based serum metabolomics study reveals a innovative diagnostic model for missed abortion

A missed abortion (MA) is an in-utero death of the embryo or fetus before the 20th week of gestation with retained products of conception. In order to discover novel biomarkers for MA, a 1H NMR spectroscopy-based metabolomics approach was applied to detect human MA serum metabolic profiles. Serum samples were obtained from patients with MA (n = 15) and healthy controls (n = 9) for study. The NOESYPR1D spectrum combined with multi-variate pattern recognition analysis was used to cluster the groups and establish a disease-specific metabolites phenotype. Principal component analysis (PCA) and orthogonal partial least-squares discriminant analysis (OPLS-DA) models were capable of distinguishing MA patients from healthy subjects. The results revealed that 24 metabolites altered in MA patients compared with the control population. Metabolomic pathway analysis demonstrated that alanine, aspartate and glutamate metabolism, citrate cycle (TCA cycle), taurine and hypotaurine metabolism were significantly altered in MA. The results indicated that serum NMR-based metabolomic profiling method is sensitive and specific enough to distinguish MA and from healthy controls, this method could be developed as a clinically useful diagnostic tool for MA. The finding from the MA serum metabolic profiling shed a new light on further understanding of MA disease mechanisms.

NMR Spectroscopy-based Metabolomics of Drosophila Model of Huntington's Disease Suggests Altered Cell Energetics.

Huntington's disease (HD) is a neurodegenerative disorder induced by aggregation of the pathological form of Huntingtin protein that has expanded polyglutamine (polyQ) repeats. In the Drosophila model, for instance, expression of transgenes with polyQ repeats induces HD-like pathologies, progressively correlating with the increasing lengths of these repeats. Previous studies on both animal models and clinical samples have revealed metabolite imbalances during HD progression. To further explore the physiological processes linked to metabolite imbalances during HD, we have investigated the 1D 1H NMR spectroscopy-based metabolomics profile of Drosophila HD model. Using multivariate analysis (PCA and PLS-DA) of metabolites obtained from methanolic extracts of fly heads displaying retinal deformations due to polyQ overexpression, we show that the metabolite imbalance during HD is likely to affect cell energetics. Six out of the 35 metabolites analyzed, namely, nicotinamide adenine dinucleotide (NAD), lactate, pyruvate, succinate, sarcosine, and acetoin, displayed segregation with progressive severity of HD. Specifically, HD progression was seen to be associated with reduction in NAD and increase in lactate-to-pyruvate ratio. Furthermore, comparative analysis of fly HD metabolome with those of mouse HD model and HD human patients revealed comparable metabolite imbalances, suggesting altered cellular energy homeostasis. These findings thus raise the possibility of therapeutic interventions for HD via modulation of cellular energetics.

1H NMR spectroscopy-based metabolomics analysis for the diagnosis of symptomatic E. coli-associated urinary tract infection (UTI)

BackgroundUrinary tract infection (UTI) is one of the most common diagnoses in girls and women, and to a lesser extent in boys and men younger than 50 years. Escherichia coli, followed by Klebsiella spp. and Proteus spp., cause 75-90% of all infections. Infection of the urinary tract is identified by growth of a significant number of a single species in the urine, in the presence of symptoms. Urinary culture is an accurate diagnostic method but takes several hours or days to be carried out. Metabolomics analysis aims to identify biomarkers that are capable of speeding up diagnosis.MethodsUrine samples from 51 patients with a prior diagnosis of Escherichia coli-associated UTI, from 21 patients with UTI caused by other pathogens (bacteria and fungi), and from 61 healthy controls were analyzed. The 1H-NMR spectra were acquired and processed. Multivariate statistical models were applied and their performance was validated using permutation test and ROC curve.ResultsOrthogonal Partial Least Squares-discriminant Analysis (OPLS-DA) showed good separation (R2Y = 0.76, Q2=0.45, p < 0.001) between UTI caused by Escherichia coli and healthy controls. Acetate and trimethylamine were identified as discriminant metabolites. The concentrations of both metabolites were calculated and used to build the ROC curves. The discriminant metabolites identified were also evaluated in urine samples from patients with other pathogens infections to test their specificity.ConclusionsAcetate and trimethylamine were identified as optimal candidates for biomarkers for UTI diagnosis. The conclusions support the possibility of a fast diagnostic test for Escherichia coli-associated UTI using acetate and trimethylamine concentrations.

Comparative gonad protein and metabolite responses to a binary mixture of 2,4′-DDT and benzo(a)pyrene in the female green mussel Perna viridis

Perna viridis is an ideal marine pollution bioindicator, benzo(a)pyrene (BaP) and 2,4′-dichlorodiphenyltrichloroethane (2,4′-DDT) are estrogenic and ubiquitous in marine environments. The toxic effects of a mixture of pollutants are more complicated. A global view of the protein and metabolite responses to single EEs compared to their mixture offers another dimension for revealing the toxic effects of EEs on marine animals. The objective of this study was to investigate the different proteomic and metabolomic responses in the female gonad of the green mussel P. viridis exposed to BaP, 2,4′-DDT and their mixture. Here we have applied NMR spectroscopy-based metabolomics and two-dimensional gel electrophoresis mass spectrometry-based proteomics to elucidate the protein and metabolite responses of female green mussel gonad exposed to BaP, 2,4′-DDT and their mixture. The statistical analysis methods including partial least squares discriminant analysis and orthogonal projection to the latent structure with discriminant analysis were used for data classification. Proteomic responses revealed that 2,4′-DDT and its mixture with BaP showed more severe disturbances in energy metabolism, cell structure and oxidative defense compared to BaP treatment alone. The results of the metabolic responses demonstrated that both 2,4′-DDT and its mixture with BaP mainly induced disturbances in energy metabolism and osmotic regulation. In contrast to what was found with the 2,4′-DDT treatment alone, the mixture of BaP and 2,4′-DDT mainly depressed taurine metabolism by lowering the expression of its metabolite, arginine. Furthermore, the differentially expressed proteins, pancreatic triacylglycerol lipase and the pyruvate dehydrogenase E1 component subunit beta, were confirmed by their related metabolic biomarkers, including ATP and acetoacetate. Our results provide an insight into the metabolic responses of mussel P. viridis exposed to either BaP, 2,4′-DDT or their mixture and characterize some potential biomarkers that were identified by a combined metabolomic and proteomic approach.

Whole Blood Transcriptomics and Urinary Metabolomics to Define Adaptive Biochemical Pathways of High-Intensity Exercise in 50-60 Year Old Masters Athletes

Exercise is beneficial for a variety of age-related disorders. However, the molecular mechanisms mediating the beneficial adaptations to exercise in older adults are not well understood. The aim of the current study was to utilize a dual approach to characterize the genetic and metabolic adaptive pathways altered by exercise in veteran athletes and age-matched untrained individuals. Two groups of 50–60 year old males: competitive cyclists (athletes, n = 9; VO2peak 59.1±5.2 ml·kg−1·min−1; peak aerobic power 383±39 W) and untrained, minimally active individuals (controls, n = 8; VO2peak 35.9±9.7 ml·kg−1·min−1; peak aerobic power 230±57 W) were examined. All participants completed an acute bout of submaximal endurance exercise, and blood and urine samples pre- and post-exercise were analyzed for gene expression and metabolic changes utilizing genome-wide DNA microarray analysis and NMR spectroscopy-based metabolomics, respectively. Our results indicate distinct differences in gene and metabolite expression involving energy metabolism, lipids, insulin signaling and cardiovascular function between the two groups. These findings may lead to new insights into beneficial signaling pathways of healthy aging and help identify surrogate markers for monitoring exercise and training load.