PubMed

Related Articles Integration of Traditional and Metabolomics Biomarkers Identifies Prognostic Metabolites for Predicting Responsiveness to Nutritional Intervention against Oxidative Stress and Inflammation. Nutrients. 2017 Mar 04;9(3): Authors: Kim YJ, Huh I, Kim JY, Park S, Ryu SH, Kim KB, Kim S, Park T, Kwon O Abstract Various statistical approaches can be applied to integrate traditional and omics biomarkers, allowing the discovery of prognostic markers to classify subjects into poor and good prognosis groups in terms of responses to nutritional interventions. Here, we performed a prototype study to identify metabolites that predict responses to an intervention against oxidative stress and inflammation, using a data set from a randomized controlled trial evaluating Korean black raspberry (KBR) in sedentary overweight/obese subjects. First, a linear mixed-effects model analysis with multiple testing correction showed that four-week consumption of KBR significantly changed oxidized glutathione (GSSG, q = 0.027) level, the ratio of reduced glutathione (GSH) to GSSG (q = 0.039) in erythrocytes, malondialdehyde (MDA, q = 0.006) and interleukin-6 (q = 0.006) levels in plasma, and seventeen NMR metabolites in urine compared with those in the placebo group. A subsequent generalized linear mixed model analysis showed linear correlations between baseline urinary glycine and N-phenylacetylglycine (PAG) and changes in the GSH:GSSG ratio (p = 0.008 and 0.004) as well as between baseline urinary adenine and changes in MDA (p = 0.018). Then, receiver operating characteristic analysis revealed that a two-metabolite set (glycine and PAG) had the strongest prognostic relevance for future interventions against oxidative stress (the area under the curve (AUC) = 0.778). Leave-one-out cross-validation confirmed the accuracy of prediction (AUC = 0.683). The current findings suggest that a higher level of this two-metabolite set at baseline is useful for predicting responders to dietary interventions in subjects with oxidative stress and inflammation, contributing to the emergence of personalized nutrition. PMID: 28273855 [PubMed - in process]

Related Articles Comprehensive Metabolomic Analysis in Blood, Urine, Fat, and Muscle in Men with Metabolic Syndrome: A Randomized, Placebo-Controlled Clinical Trial on the Effects of Resveratrol after Four Months' Treatment. Int J Mol Sci. 2017 Mar 04;18(3): Authors: Korsholm AS, Kjær TN, Ornstrup MJ, Pedersen SB Abstract Resveratrol possesses several beneficial metabolic effects in rodents, while the effects of resveratrol in humans remain unclear. Therefore, we performed a non-targeted comprehensive metabolomic analysis on blood, urine, adipose tissue, and skeletal muscle tissue in middle-aged men with metabolic syndrome randomized to either resveratrol or placebo treatment for four months. Changes in steroid hormones across all four matrices were the most pronounced changes observed. Resveratrol treatment reduced sulfated androgen precursors in blood, adipose tissue, and muscle tissue, and increased these metabolites in urine. Furthermore, markers of muscle turnover were increased and lipid metabolism was affected, with increased intracellular glycerol and accumulation of long-chain saturated, monounsaturated, and polyunsaturated (n3 and n6) free fatty acids in resveratrol-treated men. Finally, urinary derivatives of aromatic amino acids, which mainly reflect the composition of the gut microbiota, were altered upon resveratrol treatment. In conclusion, the non-targeted metabolomics approach applied to four different matrices provided evidence of subtle but robust effects on several metabolic pathways following resveratrol treatment for four months in men with metabolic syndrome-effects that, for the most part, would not have been detected by routine analyses. The affected pathways should be the focus of future clinical trials on resveratrol's effects, and perhaps particularly the areas of steroid metabolism and the gut microbiome. PMID: 28273841 [PubMed - in process]

Related Articles Sex-comparative study of mouse cerebellum physiology under adult-onset hypothyroidism: The significance of GC-MS metabolomic data normalization in meta-analysis. J Chromatogr B Analyt Technol Biomed Life Sci. 2017 Jan 15;1041-1042:158-166 Authors: Maga-Nteve C, Vasilopoulou CG, Constantinou C, Margarity M, Klapa MI Abstract A systematic data quality validation and normalization strategy is an important component of the omic profile meta-analysis, ensuring comparability of the profiles and exclusion of experimental biases from the derived biological conclusions. In this study, we present the normalization methodology applied on the sets of cerebellum gas chromatography-mass spectrometry metabolic profiles of 124days old male and female animals in an adult-onset-hypothyroidism (AOH) mouse model before combining them into a sex-comparative analysis. The employed AOH model concerns the monitoring of the brain physiology of Balb/cJ mice after eight-week administration of 1%w/v KClO4 in the drinking water, initiated on the 60th day of their life. While originating from the same animal study, the tissues of the two sexes were processed and their profiles acquired and analyzed at different time periods. Hence, the previously published profile set of male mice was first re-annotated based on the presently available resources. Then, after being validated as acquired under the same analytical conditions, both profiles sets were corrected for derivatization biases and filtered for low-confidence measurements based on the same criteria. The final normalized 73-metabolite profiles contribute to the currently few available omic datasets of the AOH effect on brain molecular physiology, especially with respect to sex differentiation. Multivariate statistical analysis indicated one (unknown) and three (succinate, benzoate, myristate) metabolites with significantly higher and lower, respectively, cerebellum concentration in the hypothyroid compared to the euthyroid female mice. The respective numbers for the males were two and 24. Comparison of the euthyroid cerebellum metabolic profiles between the two sexes indicated 36 metabolites, including glucose, myo- and scyllo-inositol, with significantly lower concentration in the females versus the males. This implies that the female mouse cerebellum has been conditioned to smaller changes in its metabolic activity with respect to the pathways involving these metabolites compared to the male animals. In conclusion, our study indicated a much subtler AOH effect on the cerebellum metabolic activity of the female compared to the male mice. The leaner metabolic profile of the female mouse cerebellum was suggested as a potential factor contributing to this phenomenon. PMID: 28040659 [PubMed - indexed for MEDLINE]

Related Articles Comparisons of parallel potential biomarkers of 1H-MRS-measured hepatic lipid content in patients with non-alcoholic fatty liver disease. Sci Rep. 2016 Apr 15;6:24031 Authors: Shih KL, Su WW, Chang CC, Kor CT, Chou CT, Chen TY, Wu HM Abstract Non-alcoholic fatty liver disease (NAFLD) is the main cause of chronic liver disease. This cross-sectional study aimed to evaluate whether parallel clinical features and serum markers are related to the severity of NAFLD. We enrolled 111 participants with different metabolic syndrome (MetS) scores (zero, n = 22; one, n = 19; two, n = 22; and ≥ three, n = 48) and used 1H-MRS to measure liver fat content. Biochemical profiles and potential biomarkers of NAFLD were measured in fasting plasma. We found that 1H-MRS-measured fat content was significantly associated with MetS score ≥1, endotoxin, and hs-CRP. Ordinal logistic regression analysis revealed that MetS score ≥2 and endotoxin were predictive of NAFLD (1H-MRS > 5%) and that endotoxin, hs-CRP, and malondialdehyde (MDA) were predictive of NAFLD with liver injury (1H-MRS > 9.67%). Endotoxin plus MetS score was shown to be the most accurate predictor of overall NAFLD (AUC = 0.854; (95% CI: 0.785-0.924), P < 0.001), and endotoxin plus hs-CRP and MDA was found to be predictive of NAFLD with liver injury (0.868; (0.801-0.936), P < 0.001). These results suggest that MetS score plus certain serum biomarkers with 1H-MRS findings may hold promise for developing an effective model for monitoring the severity of NAFLD. PMID: 27079922 [PubMed - indexed for MEDLINE]

Related Articles Metabolomics assisted biotechnological interventions for developing plant-based functional foods and nutraceuticals. Crit Rev Food Sci Nutr. 2017 Mar 08;:0 Authors: Kumar A, Mosa KA, Ji L, Kage U, Dhokane D, Karre S, Madalageri D, Pathania N Abstract Today, the dramatic changes in types of food consumed have led to an increased burden of chronic diseases. Therefore, the emphasis of food research is not only to ensure quality food that can supply adequate nutrients to prevent nutrition related diseases, but also to ensure overall physical and mental-health. This has led to the concept of functional foods and nutraceuticals (FFNs), which can be ideally produced and delivered through plants. Metabolomics can help in getting the most relevant functional information, and thus has been considered the greatest -OMICS technology to date. However, metabolomics has not been exploited to the best potential in plant sciences. The technology can be leveraged to identify the health promoting compounds and metabolites that can be used for the development of FFNs. This article reviews (i) plant-based FFNs-related metabolites and their health benefits; (ii) use of different analytic platforms for targeted and non-targeted metabolite profiling along with experimental considerations; (iii) exploitation of metabolomics to develop FFNs in plants using various biotechnological tools; and (iv) potential use of metabolomics in plant breeding. We have also provided some insights into integration of metabolomics with latest genome editing tools for metabolic pathway regulation in plants. PMID: 28272908 [PubMed - as supplied by publisher]

Related Articles Mapping carbon fate during bleaching in a model cnidarian symbiosis: the application of (13) C metabolomics. New Phytol. 2017 Mar 08;: Authors: Hillyer KE, Dias DA, Lutz A, Roessner U, Davy SK Abstract Coral bleaching is a major threat to the persistence of coral reefs. Yet we lack detailed knowledge of the metabolic interactions that determine symbiosis function and bleaching-induced change. We mapped autotrophic carbon fate within the free metabolite pools of both partners of a model cnidarian-dinoflagellate symbiosis (Aiptasia-Symbiodinium) during exposure to thermal stress via the stable isotope tracer ((13) C bicarbonate), coupled to GC-MS. Symbiont photodamage and pronounced bleaching coincided with substantial increases in the turnover of non(13) C-labelled pools in the dinoflagellate (lipid and starch store catabolism). However, (13) C enrichment of multiple compounds associated with ongoing carbon fixation and de novo biosynthesis pathways was maintained (glucose, fatty acid and lipogenesis intermediates). Minimal change was also observed in host pools of (13) C-enriched glucose (a major symbiont-derived mobile product). However, host pathways downstream showed altered carbon fate and/or pool composition, with accumulation of compatible solutes and nonenzymic antioxidant precursors. In hospite symbionts continue to provide mobile products to the host, but at a significant cost to themselves, necessitating the mobilization of energy stores. These data highlight the need to further elucidate the role of metabolic interactions between symbiotic partners, during the process of thermal acclimation and coral bleaching. PMID: 28272836 [PubMed - as supplied by publisher]

Related Articles GC/MS-based metabolomic analysis of alleviated renal ischemia-reperfusion injury induced by remote ischemic preconditioning. Eur Rev Med Pharmacol Sci. 2017 Feb;21(4):765-774 Authors: Shen S, Wang JF, Wu JQ, Zhou JX, Meng SD, Ma J, -L Zhu C, Deng GG, Liu D Abstract OBJECTIVE: Dysfunctional metabolisms have contributed towards ischemia-reperfusion (I/R) injury. However, the role of remote ischemic preconditioning (RIP) in I/R injury is not well known. The present study showed alleviated I/R injury in kidneys treated with RIP. MATERIALS AND METHODS: We utilized GC/MS-based metabolomics to characterize the variation of metabolomes. RESULTS: Metabolic category using differential metabolites showed the lower percentage of amino acids in I/R group in comparison to RIP+I/R group, confirming the importance of amino acid metabolism in RIP-treated rat kidney. Further, pathway enrichment analysis showed alanine, aspartate and glutamate metabolism to be involved in the beneficial effects of RIP during renal I/R injury. Furthermore, another crucial enrichment pathway is biosynthesis of unsaturated fatty acids. Other vital metabolites detected in independent component analysis (ICA) analysis were d-glucose, lactic acid and cholesterol. The variation tendency of above-mentioned metabolites was overall consistent with the protective nature of RIP. CONCLUSIONS: These findings elicited a viewpoint that metabolic strategy affected by RIP are linked to underlying mechanisms of RIP and highlighted the importance of metabolic strategy against I/R injury. PMID: 28272706 [PubMed - in process]

Related Articles Apolipoprotein E4 and Insulin Resistance Interact to Impair Cognition and Alter the Epigenome and Metabolome. Sci Rep. 2017 Mar 08;7:43701 Authors: Johnson LA, Torres ER, Impey S, Stevens JF, Raber J Abstract Apolipoprotein E4 (E4) and type 2 diabetes are major risk factors for cognitive decline and late onset Alzheimer's disease (AD). E4-associated phenotypes and insulin resistance (IR) share several features and appear to interact in driving cognitive dysfunction. However, shared mechanisms that could explain their overlapping pathophysiology have yet to be found. We hypothesized that, compared to E3 mice, E4 mice would be more susceptible to the harmful cognitive effects of high fat diet (HFD)-induced IR due to apoE isoform-specific differences in brain metabolism. While both E3 and E4 mice fed HFD displayed impairments in peripheral metabolism and cognition, deficits in hippocampal-dependent spatial learning and memory were exaggerated in E4 mice. Combining genome-wide measures of DNA hydroxymethylation with comprehensive untargeted metabolomics, we identified novel alterations in purine metabolism, glutamate metabolism, and the pentose phosphate pathway. Finally, in E4 mice, the metabolic and cognitive deficiencies caused by HFD were rescued by switching to a low fat diet for one month, suggesting a functional role was associated with reversal of the same metabolic pathways described above. These results suggest a susceptibility of E4 carriers to metabolic impairments brought on by IR, and may guide development of novel therapies for cognitive decline and dementia. PMID: 28272510 [PubMed - in process]

Related Articles Facilitated Visual Interpretation of Scores in Principal Component Analysis by Bioactivity-Labeling of 1H-NMR Spectra-Metabolomics Investigation and Identification of a New α-Glucosidase Inhibitor in Radix Astragali. Molecules. 2017 Mar 06;22(3): Authors: Liu Y, Nyberg NT, Jäger AK, Staerk D Abstract Radix Astragali is a component of several traditional medicines used for the treatment of type 2 diabetes in China. Radix Astragali is known to contain isoflavones, which inhibit α-glucosidase in the small intestines, and thus lowers the blood glucose levels. In this study, 21 samples obtained from different regions of China were extracted with ethyl acetate, then the IC50-values were determined, and the crude extracts were analyzed by 1H-NMR spectroscopy. A principal component analysis of the 1H-NMR spectra labeled with their IC50-values, that is, bioactivity-labeled 1H-NMR spectra, showed a clear correlation between spectral profiles and the α-glucosidase inhibitory activity. The loading plot and LC-HRMS/NMR of microfractions indicated that previously unknown long chain ferulates could be partly responsible for the observed antidiabetic activity of Radix Astragali. Subsequent preparative scale isolation revealed a compound not previously reported, linoleyl ferulate (1), showing α-glucosidase inhibitory activity (IC50 0.5 mM) at a level comparable to the previously studied isoflavones. A closely related analogue, hexadecyl ferulate (2), did not show significant inhibitory activity, and the double bonds in the alcohol part of 1 seem to be important structural features for the α-glucosidase inhibitory activity. This proof of concept study demonstrates that bioactivity-labeling of the 1H-NMR spectral data of crude extracts allows global and nonselective identification of individual constituents contributing to the crude extract's bioactivity. PMID: 28272319 [PubMed - in process]

Related Articles Toward a Taxonomy for Multi-Omics Science? Terminology Development for Whole Genome Study Approaches by Omics Technology and Hierarchy. OMICS. 2017 Jan;21(1):1-16 Authors: Pirih N, Kunej T Abstract Omics is a form of high-throughput systems science. However, taxonomies for omics studies are limited, inviting us to rethink new ways in which we classify, prioritize, and rank various omics systems science studies. In this overarching context, the genome-wide study approaches have proliferated in number and popularity over the past decade. However, their hierarchy is not well organized and the development of attendant terminology is not controlled. In the present study, we searched the literature in PubMed and the Web of Science databases published from March 1999 to September 2016 using the keywords, including genome-wide, association, whole genome, transcriptome-wide, metabolome, epigenome, and phenome. We identified the whole genome study approaches and sorted them according to the omics technology types (genomics, proteomics, and so on) and hierarchy. Thirty-four studies from over 90 publications were sorted into 10 omics groups: DNA level, transcriptomics, proteomics, interactomics, metabolomics, epigenomics, miRNomics/ncRNomics, phenomics, environmental omics, and pharmacogenomics. We suggest here modifications of terminology for study approaches, which share the same acronyms such as EWAS for epigenome-wide association and environment-wide association studies, and MWAS for methylome-wide association and metabolome-wide association studies. Taken together, our study presented here provides the first systematic review and analyses of whole genome approaches and presents a baseline for further controlled terminology development, with a view to a new taxonomy for omics and multi-omics studies in the future. Finally, we call for greater dialogue and collaboration across diverse omics knowledge domains and applications, for example, across plants, animals, clinical medicine, and ecology. PMID: 28271979 [PubMed - in process]

Related Articles Branched-Chain Amino Acids as Predictors for Individual Differences of Cisplatin Nephrotoxicity in Rats: A Pharmacometabonomics Study. J Proteome Res. 2017 Mar 08;: Authors: Zhang P, Li W, Chen J, Li R, Zhang Z, Huang Y, Xu F Abstract Nephrotoxicity is the dose-limiting adverse effect of cisplatin with large individual differences. Up to now, little has been done on how to recognize and predict the individual differences either in preclinical or clinical research. In the present study, important post-dose indicators were screened out first and integrated into a grouping factor, according to which rats were recognized as low or high sensitive individuals. Then, mass spectrometry-based untargeted metabolomics approach was performed to dissect the metabolic differences in pre-dose serum of the two groups. Eventually, branched-chain amino acids (BCAAs) were found to be most significant with the lowest p value of Mann-Whitney U test and the highest area under receiving operating characteristic curve (AUC-ROC). The findings were further confirmed by absolute quantitation of BCAAs using liquid chromatography-tandem mass spectrometry (LC-MS/MS). Binary logistic regression (BLR) showed that in the discovery set absolute BCAA contents in rat pre-dose serum could predict cisplatin nephrotoxicity with the accuracy of 85%. This result was validated by another two independent external validation sets with the accuracy of 81.8% and 78.8%, respectively. This study could provide new insight into cisplatin nephrotoxicity and may help expedite personalized medicine of cisplatin or other antitumor drugs in future clinical studies. PMID: 28271897 [PubMed - as supplied by publisher]

Related Articles Proximity labeling of interacting proteins: Application of BioID as a discovery tool. Proteomics. 2017 Mar 08;: Authors: Li P, Li J, Wang L, Di LJ Abstract Protein performs biochemical functions by forming complexes, or protein-protein interactions (PPIs). Many different approaches, such as phage display and yeast hybridization etc. were developed to illustrate the PPIs, and disclose the composition and organization of protein complexes. However, none of these approaches are based on the real-time and in vivo PPI analysis. Proximity dependent labeling of interacting proteins (PDL) has recently been proposed by taking advantage of several enzymes, which are capable of attaching the known reactive groups to the nearby proteins covalently. Among the PDL methods, BioID is the earliest and the most widely used one and has been upgraded from its prototype, making it an extremely convenient research tool. In this review, we describe the BioID technology development, its potential applications according to the nature of the target protein, and some recent efforts to circumvent the technical limitations. Moreover, some comparable PDL methods are introduced, including SPPLAT, EMARS, APEX and IPL etc., and we propose that systematic comparison of the working radius of these methods may be helpful to develop a tool box, from which the right method can be selected for a given target protein for PPI research. This article is protected by copyright. All rights reserved. PMID: 28271636 [PubMed - as supplied by publisher]

Related Articles Functional Diversity of Transcriptional Regulators in the Cyanobacterium Synechocystis sp. PCC 6803. Front Microbiol. 2017;8:280 Authors: Shi M, Zhang X, Pei G, Chen L, Zhang W Abstract Functions of transcriptional regulators (TRs) are still poorly understood in the model cyanobacterium Synechocystis sp. PCC 6803. To address the issue, we constructed knockout mutants for 32 putative TR-encoding genes of Synechocystis, and comparatively analyzed their phenotypes under autotrophic growth condition and metabolic profiles using liquid chromatography-mass spectrometry-based metabolomics. The results showed that only four mutants of TR genes, sll1872 (lytR), slr0741 (phoU), slr0395 (ntcB), and slr1871 (pirR), showed differential growth patterns in BG11 medium when compared with the wild type; however, in spite of no growth difference observed for the remaining TR mutants, metabolomic profiling showed that they were different at the metabolite level, suggesting significant functional diversity of TRs in Synechocystis. In addition, an integrative metabolomic and gene families' analysis of all TR mutants led to the identification of five pairs of TR genes that each shared close relationship in both gene families and metabolomic clustering trees, suggesting possible conserved functions of these TRs during evolution. Moreover, more than a dozen pairs of TR genes with different origin and evolution were found with similar metabolomic profiles, suggesting a possible functional convergence of the TRs during genome evolution. Finally, a protein-protein network analysis was performed to predict regulatory targets of TRs, allowing inference of possible regulatory gene targets for 4 out of five pairs of TRs. This study provided new insights into the regulatory functions and evolution of TR genes in Synechocystis. PMID: 28270809 [PubMed - in process]

Related Articles Targeted Metabolomic Analysis of Soluble Lysates from Platelets of Patients with Mild Cognitive Impairment and Alzheimer's Disease Compared to Healthy Controls: Is PC aeC40:4 a Promising Diagnostic Tool? J Alzheimers Dis. 2017 Feb 28;: Authors: Oberacher H, Arnhard K, Linhart C, Diwo A, Marksteiner J, Humpel C Abstract Alzheimer's disease (AD) is a progressive neurodegenerative disorder of the central nervous system. The use of biological fluids in AD diagnosis remains limited to the analysis of specific protein biomarkers in cerebrospinal fluid. However, metabolomic analysis has recently revealed several metabolites in plasma, especially phosphatidylcholines (PC), as putative biomarkers specific for AD. Following on previous reports of platelet abnormalities in AD, we hypothesized that platelets metabolites released in plasma may offer new biomarkers in AD. The aim of the present study was to apply targeted metabolomics to compare metabolites in soluble lysates of platelets from healthy controls (CO), patients with mild cognitive impairment (MCI), and patients with AD in a cohort of 90 subjects. Quantitative data were obtained for 91 metabolites. Among these, the lipid PC aeC40:4 significantly differentiated AD from CO (p = 0.0009), while four other lipids (PC aaC32:0, PC ae C32:2, PC aeC34:1, and SM(OH)C14:1) differentiated patients with MCI from CO. The combination of three phosphatidylcholines (PC aeC32:2, PC aeC34:1, PCaaC36:5), two lyso-phosphatidylcholines (lysoPC aC18:1, lysoPC aC16:0), and one sphingomyelin (SM(OH) C14:1) constructed a valuable prediction model using the C4.5 decision tree. The diagnosis accuracy for AD versus CO and MCI was 85%. In a blinded follow up conversion study, we could verify the clinical diagnosis in 19 out of 20 cases. We propose that soluble platelet PCaeC40:4 is a promising marker to diagnose AD with a cut-off of <0.30μM and that platelets undergo metabolic processes during AD progression. PMID: 28269764 [PubMed - as supplied by publisher]

Related Articles Modeling non-clinical and clinical drug tests in Gaucher disease. Conf Proc IEEE Eng Med Biol Soc. 2016 Aug;2016:1434-1438 Authors: Phelix CF, Bourdon AK, Villareal G, LeBaron RG Abstract There is need for modeling biological systems to accelerate drug pipelines for treating metabolic diseases. The eliglustat treatment for Gaucher disease is approved by the FDA with a companion genomic test. The Transcriptome-To-Metabolome™ biosimulation technology was used to model, in silico, a standard non-clinical eliglustat test with an in vitro canine kidney cell system over-expressing a human gene; and a clinical test using human fibroblasts from control and Gaucher disease subjects. Protein homology modeling and docking studies were included to gather affinity parameters for the kinetic metabolic model. Pharmacodynamics and metabolomics analyses of the results replicated published findings and demonstrated that processing and transport of lysosomal proteins alone cannot explain the metabolic disorder. This technology shows promise for application to other diseases. PMID: 28268595 [PubMed - in process]

Related Articles Microbiota-based Signature of Gingivitis Treatments: A Randomized Study. Sci Rep. 2016 Apr 20;6:24705 Authors: Huang S, Li Z, He T, Bo C, Chang J, Li L, He Y, Liu J, Charbonneau D, Li R, Xu J Abstract Plaque-induced gingivitis can be alleviated by various treatment regimens. To probe the impacts of various anti-gingivitis treatments on plaque microflora, here a double blinded, randomized controlled trial of 91 adults with moderate gingivitis was designed with two anti-gingivitis regimens: the brush-alone treatment and the brush-plus-rinse treatment. In the later group, more reduction in both Plaque Index (TMQHI) and Gingival Index (mean MGI) at Day 3, Day 11 and Day 27 was evident, and more dramatic changes were found between baseline and other time points for both supragingival plaque microbiota structure and salivary metabonomic profiles. A comparison of plaque microbiota changes was also performed between these two treatments and a third dataset where 50 subjects received regimen of dental scaling. Only Actinobaculum, TM7 and Leptotrichia were consistently reduced by all the three treatments, whereas the different microbial signatures of the three treatments during gingivitis relieve indicate distinct mechanisms of action. Our study suggests that microbiota based signatures can serve as a valuable approach for understanding and potentially comparing the modes of action for clinical treatments and oral-care products in the future. PMID: 27094556 [PubMed - indexed for MEDLINE]

Related Articles (1)H NMR-based metabolomics reveals neurochemical alterations in the brain of adolescent rats following acute methylphenidate administration. Neurochem Int. 2017 Mar 04;: Authors: Quansah E, Ruiz-Rodado V, Grootveld M, Probert F, Zetterström TS Abstract The psychostimulant methylphenidate (MPH) is increasingly used in the treatment of attention deficit hyperactivity disorder (ADHD). While there is little evidence for common brain pathology in ADHD, some studies suggest a right hemisphere dysfunction among people diagnosed with the condition. However, in spite of the high usage of MPH in children and adolescents, its mechanism of action is poorly understood. Given that MPH blocks the neuronal transporters for dopamine and noradrenaline, most research into the effects of MPH on the brain has largely focused on these two monoamine neurotransmitter systems. Interestingly, recent studies have demonstrated metabolic changes in the brain of ADHD patients, but the impact of MPH on endogenous brain metabolites remains unclear. In this study, a proton nuclear magnetic resonance ((1)H NMR)-based metabolomics approach was employed to investigate the effects of MPH on brain biomolecules. Adolescent male Sprague Dawley rats were injected intraperitoneally with MPH (5.0 mg/kg) or saline (1.0 ml/kg), and cerebral extracts from the left and right hemispheres were analysed. A total of 22 variables (representing 13 distinct metabolites) were significantly increased in the MPH-treated samples relative to the saline-treated controls. The upregulated metabolites included: amino acid neurotransmitters such as GABA, glutamate and aspartate; large neutral amino acids (LNAA), including the aromatic amino acids (AAA) tyrosine and phenylalanine, both of which are involved in the metabolism of dopamine and noradrenaline; and metabolites associated with energy and cell membrane dynamics, such as creatine and myo-inositol. No significant differences in metabolite concentrations were found between the left and right cerebral hemispheres. These findings provide new insights into the mechanisms of action of the anti-ADHD drug MPH. PMID: 28268188 [PubMed - as supplied by publisher]

Related Articles Key metabolic traits of Pisum sativum maintain cell vitality during Didymella pinodes infection: cultivar resistance and the microsymbionts' influence. J Proteomics. 2017 Mar 04;: Authors: Turetschek R, Desalegn G, Epple T, Kaul HP, Wienkoop S Abstract Ascochyta blight causes severe losses in field pea production and the search for resistance traits towards the causal agent Didymella pinodes is of particular importance for farmers. Various microsymbionts were reported to shape the plants' immune response. However, regardless their contribution to resistance, they are hardly included in experimental designs. Here, we first delineate the bi-directional effect of the symbionts' (rhizobia, mycorrhiza) and the leaf proteome/metabolome of two field pea cultivars with varying resistance levels towards D. pinodes. The pathogen infection showed higher influence on the interaction with the microsymbionts in the susceptible cultivar which was reflected in decreased nodule weight and root mycorrhiza colonisation. Vice versa, symbionts induced variation in the pathogen infection response, which, however, appeared to be overruled by the genotypic characteristics such as maintenance of photosynthesis and provision of sugars and carbon back bones to fuel secondary metabolism. An active sulphur metabolism, functionality of the glutathione-ascorbate hub and fine adjustment of hormone synthesis to suppress induced cell death appeared to support resistance. Thus, we conclude that sustainment of cell vitality through these complex metabolic traits is substantial for a more efficient infection response of the tolerant cultivar. SIGNIFICANCE: The infection response of two Pisum sativum cultivars with varying resistance levels towards Didymella pinodes was analysed most comprehensively at a proteomic and metabolomic level. Enhanced tolerance was linked to newly discovered cultivar specific metabolic traits such as hormone synthesis and presumably suppression of cell death. PMID: 28268116 [PubMed - as supplied by publisher]

Related Articles NMR-based metabolomics for the environmental assessment of Kaohsiung Harbor sediments exemplified by a marine amphipod (Hyalella azteca). Mar Pollut Bull. 2017 Mar 03;: Authors: Chiu KH, Dong CD, Chen CF, Tsai ML, Ju YR, Chen TM, Chen CW Abstract Inflow of wastewater from upstream causes a large flux of pollutants to enter Kaohsiung Harbor in Taiwan daily. To reveal the ecological risk posed by Kaohsiung Harbor sediments, an ecological metabolomic approach was employed to investigate environmental factors pertinent to the physiological regulation of the marine amphipod Hyalella azteca. The amphipods were exposed to sediments collected from different stream inlets of the Love River (LR), Canon River (CR), Jen-Gen River (JR), and Salt River (SR). Harbor entrance 1 (E1) was selected as a reference site. After 10-day exposure, metabolomic analysis of the Hyalella azteca revealed differences between two groups: {E1, LR, CR} and {JR, SR}. The metabolic pathways identified in the two groups of amphipods were significantly different. The results demonstrated that NMR-based metabolomics can be effectively used to characterize metabolic response related to sediment from polluted areas. PMID: 28267993 [PubMed - as supplied by publisher]

Related Articles In vivo microsampling to capture the elusive exposome. Sci Rep. 2017 Mar 07;7:44038 Authors: Bessonneau V, Ings J, McMaster M, Smith R, Bragg L, Servos M, Pawliszyn J Abstract Loss and/or degradation of small molecules during sampling, sample transportation and storage can adversely impact biological interpretation of metabolomics data. In this study, we performed in vivo sampling using solid-phase microextraction (SPME) in combination with non-targeted liquid chromatography and high-resolution tandem mass spectrometry (LC-MS/MS) to capture the fish tissue exposome using molecular networking analysis, and the results were contrasted with molecular differences obtained with ex vivo SPME sampling. Based on 494 MS/MS spectra comparisons, we demonstrated that in vivo SPME sampling provided better extraction and stabilization of highly reactive molecules, such as 1-oleoyl-sn-glycero-3-phosphocholine and 1-palmitoleoyl-glycero-3-phosphocholine, from fish tissue samples. This sampling approach, that minimizes sample handling and preparation, offers the opportunity to perform longitudinal monitoring of the exposome in biological systems and improve the reliability of exposure-measurement in exposome-wide association studies. PMID: 28266605 [PubMed - in process]