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Metabolomic profiling in the prediction of gestational diabetes mellitus.
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Metabolomic profiling in the prediction of gestational diabetes mellitus.
Diabetologia. 2015 Jun;58(6):1329-32
Authors: Bentley-Lewis R, Huynh J, Xiong G, Lee H, Wenger J, Clish C, Nathan D, Thadhani R, Gerszten R
Abstract
AIMS/HYPOTHESIS: Metabolomic profiling in populations with impaired glucose tolerance has revealed that branched chain and aromatic amino acids (BCAAs) are predictive of type 2 diabetes. Because gestational diabetes mellitus (GDM) shares pathophysiological similarities with type 2 diabetes, the metabolite profile predictive of type 2 diabetes could potentially identify women who will develop GDM.
METHODS: We conducted a nested case-control study of 18- to 40-year-old women who participated in the Massachusetts General Hospital Obstetrical Maternal Study between 1998 and 2007. Participants were enrolled during their first trimester of a singleton pregnancy and fasting serum samples were collected. The women were followed throughout pregnancy and identified as having GDM or normal glucose tolerance (NGT) in the third trimester. Women with GDM (n = 96) were matched to women with NGT (n = 96) by age, BMI, gravidity and parity. Liquid chromatography-mass spectrometry was used to measure the levels of 91 metabolites.
RESULTS: Data analyses revealed the following characteristics (mean ± SD): age 32.8 ± 4.4 years, BMI 28.3 ± 5.6 kg/m(2), gravidity 2 ± 1 and parity 1 ± 1. Six metabolites (anthranilic acid, alanine, glutamate, creatinine, allantoin and serine) were identified as having significantly different levels between the two groups in conditional logistic regression analyses (p < 0.05). The levels of the BCAAs did not differ significantly between GDM and NGT.
CONCLUSIONS/INTERPRETATION: Metabolic markers identified as being predictive of type 2 diabetes may not have the same predictive power for GDM. However, further study in a racially/ethnically diverse population-based cohort is necessary.
PMID: 25748329 [PubMed - indexed for MEDLINE]
metabolomics; +17 new citations
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metabolomics
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metabolomics; +22 new citations
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metabolomics
These pubmed results were generated on 2016/03/08PubMed comprises more than 24 million citations for biomedical literature from MEDLINE, life science journals, and online books.
Citations may include links to full-text content from PubMed Central and publisher web sites.
Optimization of a liquid chromatography ion mobility-mass spectrometry method for untargeted metabolomics using experimental design and multivariate data analysis.
Optimization of a liquid chromatography ion mobility-mass spectrometry method for untargeted metabolomics using experimental design and multivariate data analysis.
Anal Chim Acta. 2016 Mar 24;913:55-62
Authors: Tebani A, Schmitz-Afonso I, Rutledge DN, Gonzalez BJ, Bekri S, Afonso C
Abstract
High-resolution mass spectrometry coupled with pattern recognition techniques is an established tool to perform comprehensive metabolite profiling of biological datasets. This paves the way for new, powerful and innovative diagnostic approaches in the post-genomic era and molecular medicine. However, interpreting untargeted metabolomic data requires robust, reproducible and reliable analytical methods to translate results into biologically relevant and actionable knowledge. The analyses of biological samples were developed based on ultra-high performance liquid chromatography (UHPLC) coupled to ion mobility - mass spectrometry (IM-MS). A strategy for optimizing the analytical conditions for untargeted UHPLC-IM-MS methods is proposed using an experimental design approach. Optimization experiments were conducted through a screening process designed to identify the factors that have significant effects on the selected responses (total number of peaks and number of reliable peaks). For this purpose, full and fractional factorial designs were used while partial least squares regression was used for experimental design modeling and optimization of parameter values. The total number of peaks yielded the best predictive model and is used for optimization of parameters setting.
PMID: 26944989 [PubMed - in process]
Comprehensive tissue-specific proteome analysis of drought stress responses in Pennisetum glaucum (L.) R. Br. (Pearl millet).
Comprehensive tissue-specific proteome analysis of drought stress responses in Pennisetum glaucum (L.) R. Br. (Pearl millet).
J Proteomics. 2016 Mar 1;
Authors: Ghatak A, Chaturvedi P, Nagler M, Roustan V, Lyon D, Bachmann G, Postl W, Schröfl A, Desai N, Varshney RK, Weckwerth W
Abstract
Pearl millet is the fifth most important cereal crop worldwide and cultivated especially by small holder farmers in arid and semi-arid regions because of its drought and salt tolerance. The molecular mechanisms of drought stress tolerance in Pennisetum remain elusive. We have used a shotgun proteomics approach to investigate protein signatures from different tissues under drought and control conditions. Drought stressed plants showed significant changes in stomatal conductance and increased root growth compared to the control plants. Root, leaf and seed tissues were harvested and 2281 proteins were identified and quantified in total. Leaf tissue showed the largest number of significant changes (120), followed by roots (25) and seeds (10). Increased levels of root proteins involved in cell wall-, lipid-, secondary- and signaling metabolism and the concomitantly observed increased root length point to an impaired shoot-root communication under drought stress. The harvest index (HI) showed a significant reduction under drought stress. Proteins with a high correlation to the HI were identified using sparse partial least square (sPLS) analysis. Considering the importance of Pearl millet as a stress tolerant food crop, this study provides a first reference data set for future investigations of the underlying molecular mechanisms.
BIOLOGICAL SIGNIFICANCE: Drought stress is the most limiting factor for plant growth and crop production worldwide. At the same time drought susceptible cereal crops are among the largest producers worldwide. In contrast, Pearl millet is a drought and salt tolerant cereal crop especially used in arid and semi-arid regions by small farmers. The multifactorial molecular mechanisms of this unique drought tolerance are not known. Here, we employ shotgun proteomics for a first characterization of the Pearl millet drought stress proteome. The experimental setup and the data set generated from this study reveal comprehensive physiological and proteomic responses of the drought stressed Pearl millet plants. Our study reveals statistically significant tissue-specific protein signatures during the adaptation to drought conditions. Thus, the work provides a first reference study of the drought stress proteome and related drought responsive proteins (DRP's) in Pearl millet.
PMID: 26944736 [PubMed - as supplied by publisher]
Integrating transcriptomics and metabolomics to characterise the response of Astragalus membranaceus Bge. var. mongolicus (Bge.) to progressive drought stress.
Integrating transcriptomics and metabolomics to characterise the response of Astragalus membranaceus Bge. var. mongolicus (Bge.) to progressive drought stress.
BMC Genomics. 2016;17(1):188
Authors: Jia X, Sun C, Zuo Y, Li G, Li G, Ren L, Chen G
Abstract
BACKGROUND: Astragalus membranaceus Bge. var. mongolicus (Bge.) Hsiao (A. mongolicus) is an important traditional Chinese herb that is cultivated on a large scale in northwestern China. Understanding plant responses to drought has important effects on ecological environment recovery and local economic development. Here, we combined transcriptomics (Illumina Hiseq 2000) and metabolomics ((1)H-NMR) to investigate how the roots of two-year-old A. mongolicus responded to 14 days of progressive drought stress.
RESULTS: The dried soil reduced the relative water content (RWC) of the leaves and biomass, induced the differential expression of a large fraction of the transcriptome and significantly altered the metabolic processes. PCA analysis demonstrated that the sucrose, proline, and malate metabolites contributed greatly to the separation. Strikingly, proline was increased by almost 60-fold under severe stress compared to the control. Some backbone pathways, including glycolysis, tricarboxylic acid (TCA) cycle, glutamate-mediated proline biosynthesis, aspartate family metabolism and starch and sucrose metabolism, were significantly affected by drought. An integrated analysis of the interaction between key genes and the altered metabolites involved in these pathways was performed.
CONCLUSIONS: Our findings demonstrated that the expression of drought-responsive genes showed a strong stress-dose dependency. Analysis of backbone pathways of the transcriptome and metabolome revealed specific genotypic responses to different levels of drought. The variation in molecular strategies to the drought may play an important role in how A. mongolicus and other legume crops adapt to drought stress.
PMID: 26944555 [PubMed - as supplied by publisher]
metabolomics; +43 new citations
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Citations may include links to full-text content from PubMed Central and publisher web sites.
metabolomics; +23 new citations
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metabolomics
These pubmed results were generated on 2016/03/02PubMed comprises more than 24 million citations for biomedical literature from MEDLINE, life science journals, and online books.
Citations may include links to full-text content from PubMed Central and publisher web sites.
Oxidative stress in northern elephant seals: Integration of omics approaches with ecological and experimental studies.
Oxidative stress in northern elephant seals: Integration of omics approaches with ecological and experimental studies.
Comp Biochem Physiol A Mol Integr Physiol. 2016 Feb 25;
Authors: Crocker DE, Khudyakov JI, Champagne CD
Abstract
Northern elephant seals experience conditions that increase oxidative stress (OS), including extended fasting, ischemia and hypoxia during breath-holds, and immune responses during colonial breeding. Increased OS is suggested by increases in tissue and plasma concentrations of pro-oxidant enzymes NADPH oxidase and xanthine oxidase (XO). Serum cortisol concentrations were positively associated with XO concentrations and damage markers. Elephant seals exhibit robust anti-oxidant responses as evidenced by increases in anti-oxidant enzymes in plasma and tissues. These responses were sufficient to prevent oxidative damage during breath-holds and extended fasts in juveniles. However, high rates of energy expenditure during breeding were associated with increased evidence for oxidative damage to lipids, proteins and DNA in adults. We integrated investigations of the fasting metabolome and muscle and blubber transcriptomes into our oxidative stress studies. Non-targeted metabolomics analysis of fasting seals identified 227 known metabolites in plasma, including those related to glutathione and purine metabolism. Changes in plasma metabolites suggested that glutathione biosynthesis increased during fasting in weaned pups but not in lactating females. We produced the first reference sequence for elephant seals by RNA sequencing of skeletal muscle and adipose tissue transcriptomes and de novo transcriptome assembly. We annotated muscle and adipose transcripts and identified thousands of genes, including potential mediators of OS. This resource provides elephant seal-specific gene sequences, complements existing metabolite and protein expression studies and provides tools for examining cellular responses to OS in a variety of contexts. We examined changes in tissue gene expression in response to experimental elevation of plasma cortisol. Responses included downregulation of Negative Regulator of Reactive Oxygen Species (NRROS) in muscle, a regulator that limits reactive oxygen species production by tissues. These tools provide novel views of the cellular and systemic mechanisms that enable seals to tolerate high levels of OS.
PMID: 26924792 [PubMed - as supplied by publisher]
Acute phase inflammation is characterized by rapid changes in plasma/peritoneal fluid N-glycosylation in mice.
Acute phase inflammation is characterized by rapid changes in plasma/peritoneal fluid N-glycosylation in mice.
Glycoconj J. 2016 Feb 29;
Authors: Rombouts Y, Jónasdóttir HS, Hipgrave Ederveen AL, Reiding KR, Jansen BC, Freysdottir J, Hardardottir I, Ioan-Facsinay A, Giera M, Wuhrer M
Abstract
Murine zymosan-induced peritonitis is a widely used model for studying the molecular and cellular events responsible for the initiation, persistence and/or resolution of inflammation. Among these events, it is becoming increasingly evident that changes in glycosylation of proteins, especially in the plasma and at the site of inflammation, play an important role in the inflammatory response. Using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS)-based glycosylation profiling, we investigated the qualitative and quantitative effect of zymosan-induced peritonitis on N-glycosylation in mouse plasma and peritoneal fluid. Our results show that both N-glycomes exhibit highly similar glycosylation patterns, consisting mainly of diantennary and triantennary complex type N-glycans with high levels (>95 %) of galactosylation and sialylation (mostly NeuGc) and a medium degree of core fucosylation (30 %). Moreover, MS/MS structural analysis, assisted by linkage-specific derivatization of sialic acids, revealed the presence of O-acetylated sialic acids as well as disialylated antennae ("branching sialylation") characterized by the presence of α2-6-linked NeuGc on the GlcNAc of the NeuGcα2-3-Galβ1-3-GlcNAc terminal motif. A significant decrease of (core) fucosylation together with an increase of both α2-3-linked NeuGc and "branching sialylation" were observed in N-glycomes of mice challenged with zymosan, but not in control mice injected with PBS. Importantly, substantial changes in glycosylation were already observed 12 h after induction of peritonitis, thereby demonstrating an unexpected velocity of the biological mechanisms involved.
PMID: 26924641 [PubMed - as supplied by publisher]
Global metabolic analyses identify key differences in metabolite levels between polymyxin-susceptible and polymyxin-resistant Acinetobacter baumannii.
Global metabolic analyses identify key differences in metabolite levels between polymyxin-susceptible and polymyxin-resistant Acinetobacter baumannii.
Sci Rep. 2016;6:22287
Authors: Mahamad Maifiah MH, Cheah SE, Johnson MD, Han ML, Boyce JD, Thamlikitkul V, Forrest A, Kaye KS, Hertzog P, Purcell AW, Song J, Velkov T, Creek DJ, Li J
Abstract
Multidrug-resistant Acinetobacter baumannii presents a global medical crisis and polymyxins are used as the last-line therapy. This study aimed to identify metabolic differences between polymyxin-susceptible and polymyxin-resistant A. baumannii using untargeted metabolomics. The metabolome of each A. baumannii strain was measured using liquid chromatography-mass spectrometry. Multivariate and univariate statistics and pathway analyses were employed to elucidate metabolic differences between the polymyxin-susceptible and -resistant A. baumannii strains. Significant differences were identified between the metabolic profiles of the polymyxin-susceptible and -resistant A. baumannii strains. The lipopolysaccharide (LPS) deficient, polymyxin-resistant 19606R showed perturbation in specific amino acid and carbohydrate metabolites, particularly pentose phosphate pathway (PPP) and tricarboxylic acid (TCA) cycle intermediates. Levels of nucleotides were lower in the LPS-deficient 19606R. Furthermore, 19606R exhibited a shift in its glycerophospholipid profile towards increased abundance of short-chain lipids compared to the parent polymyxin-susceptible ATCC 19606. In contrast, in a pair of clinical isolates 03-149.1 (polymyxin-susceptible) and 03-149.2 (polymyxin-resistant, due to modification of lipid A), minor metabolic differences were identified. Notably, peptidoglycan biosynthesis metabolites were significantly depleted in both of the aforementioned polymyxin-resistant strains. This is the first comparative untargeted metabolomics study to show substantial differences in the metabolic profiles of the polymyxin-susceptible and -resistant A. baumannii.
PMID: 26924392 [PubMed - as supplied by publisher]
Validation of biomarkers in cardiotoxicity induced by Periplocin on neonatal rat cardiomyocytes using UPLC-Q-TOF/MS combined with a support vector machine.
Validation of biomarkers in cardiotoxicity induced by Periplocin on neonatal rat cardiomyocytes using UPLC-Q-TOF/MS combined with a support vector machine.
J Pharm Biomed Anal. 2016 Feb 15;123:179-185
Authors: Li A, Guo X, Xie J, Liu X, Zhang Z, Li Y, Zhang Y
Abstract
Corex Periplocae (the root of Periploca sepium Bge) has been widely used in clinics. Periplocin, as one of the components of cardiac glycosides in Corex Periplocae, easily triggers cardiotoxicity when used improperly. To evaluate the toxicity of Periplocin, we used UPLC-Q-TOF/MS to investigate metabolic profiles on neonatal rat cardiomyocytes exposed to high and low doses of Periplocin (0.2mmol/L, 0.4mmol/L). Finally, we identified 11 biomarkers associated with toxicity through multivariate statistical analysis. A "supervised" Support Vector Machine (SVM) study was used to optimize and verify the reliability of these biomarkers. In these biomarkers, all biomarkers, including carnitine, acetylcarnitine, lysoPC(16:0), proline, glutamic acid, pyroglutamic acid, leucine, pantothenic acid, tryptophan, indoleacrylic acid and citric acid, revealed a downward trend with the increase of dosage. Moreover, pathway analysis showed that these metabolites were associated with amino acid metabolism, energy metabolism and sphingolipid metabolism, which contributes to a further understanding of the toxicity mechanism of Corex Periplocae and its clinical safety. Additionally, we demonstrate that an UPLC-Q-TOF/MS-based metabolomic approach is a powerful tool and provides a promising approach for assessing the toxicity of traditional Chinese medicine and drug safety screening.
PMID: 26924293 [PubMed - as supplied by publisher]
Mitochondrial DNA Replication Defects Disturb Cellular dNTP Pools and Remodel One-Carbon Metabolism.
Mitochondrial DNA Replication Defects Disturb Cellular dNTP Pools and Remodel One-Carbon Metabolism.
Cell Metab. 2016 Feb 23;
Authors: Nikkanen J, Forsström S, Euro L, Paetau I, Kohnz RA, Wang L, Chilov D, Viinamäki J, Roivainen A, Marjamäki P, Liljenbäck H, Ahola S, Buzkova J, Terzioglu M, Khan NA, Pirnes-Karhu S, Paetau A, Lönnqvist T, Sajantila A, Isohanni P, Tyynismaa H, Nomura DK, Battersby BJ, Velagapudi V, Carroll CJ, Suomalainen A
Abstract
Mitochondrial dysfunction affects cellular energy metabolism, but less is known about the consequences for cytoplasmic biosynthetic reactions. We report that mtDNA replication disorders caused by TWINKLE mutations-mitochondrial myopathy (MM) and infantile onset spinocerebellar ataxia (IOSCA)-remodel cellular dNTP pools in mice. MM muscle shows tissue-specific induction of the mitochondrial folate cycle, purine metabolism, and imbalanced and increased dNTP pools, consistent with progressive mtDNA mutagenesis. IOSCA-TWINKLE is predicted to hydrolyze dNTPs, consistent with low dNTP pools and mtDNA depletion in the disease. MM muscle also modifies the cytoplasmic one-carbon cycle, transsulfuration, and methylation, as well as increases glucose uptake and its utilization for de novo serine and glutathione biosynthesis. Our evidence indicates that the mitochondrial replication machinery communicates with cytoplasmic dNTP pools and that upregulation of glutathione synthesis through glucose-driven de novo serine biosynthesis contributes to the metabolic stress response. These results are important for disorders with primary or secondary mtDNA instability and offer targets for metabolic therapy.
PMID: 26924217 [PubMed - as supplied by publisher]
Cognitive Impairment by Antibiotic-Induced Gut Dysbiosis: Analysis of Gut Microbiota-Brain Communication.
Cognitive Impairment by Antibiotic-Induced Gut Dysbiosis: Analysis of Gut Microbiota-Brain Communication.
Brain Behav Immun. 2016 Feb 23;
Authors: Fröhlich EE, Farzi A, Mayerhofer R, Reichmann F, Jačan A, Wagner B, Zinser E, Bordag N, Magnes C, Fröhlich E, Kashofer K, Gorkiewicz G, Holzer P
Abstract
Emerging evidence indicates that disruption of the gut microbial community (dysbiosis) impairs mental health. Germ-free mice and antibiotic-induced gut dysbiosis are two approaches to establish causality in gut microbiota-brain relationships. However, both models have limitations, as germ-free mice display alterations in blood-brain barrier and brain ultrastructure and antibiotics may act directly on the brain. We hypothesized that the concerns related to antibiotic-induced gut dysbiosis can only adequately be addressed if the effect of intragastric treatment of adult mice with multiple antibiotics on (i) gut microbial community, (ii) metabolite profile in the colon, (iii) circulating metabolites, (iv) expression of neuronal signaling molecules in distinct brain areas and (v) cognitive behavior is systematically investigated. Of the antibiotics used (ampicillin, bacitracin, meropenem, neomycin, vancomycin), ampicillin had some oral bioavailability but did not enter the brain. 16S rDNA sequencing confirmed antibiotic-induced microbial community disruption, and metabolomics revealed that gut dysbiosis was associated with depletion of bacteria-derived metabolites in the colon and alterations of lipid species and converted microbe-derived molecules in the plasma. Importantly, novel object recognition, but not spatial, memory was impaired in antibiotic-treated mice. This cognitive deficit was associated with brain region-specific changes in the expression of cognition-relevant signaling molecules, notably brain-derived neurotrophic factor, N-methyl-D-aspartate receptor subunit 2B, serotonin transporter and neuropeptide Y system. We conclude that circulating metabolites and the cerebral neuropeptide Y system play an important role in the cognitive impairment and dysregulation of cerebral signaling molecules due to antibiotic-induced gut dysbiosis.
PMID: 26923630 [PubMed - as supplied by publisher]
Gut Microbiome of Coexisting BaAka Pygmies and Bantu Reflects Gradients of Traditional Subsistence Patterns.
Gut Microbiome of Coexisting BaAka Pygmies and Bantu Reflects Gradients of Traditional Subsistence Patterns.
Cell Rep. 2016 Feb 24;
Authors: Gomez A, Petrzelkova KJ, Burns MB, Yeoman CJ, Amato KR, Vlckova K, Modry D, Todd A, Jost Robinson CA, Remis MJ, Torralba MG, Morton E, Umaña JD, Carbonero F, Gaskins HR, Nelson KE, Wilson BA, Stumpf RM, White BA, Leigh SR, Blekhman R
Abstract
To understand how the gut microbiome is impacted by human adaptation to varying environments, we explored gut bacterial communities in the BaAka rainforest hunter-gatherers and their agriculturalist Bantu neighbors in the Central African Republic. Although the microbiome of both groups is compositionally similar, hunter-gatherers harbor increased abundance of Prevotellaceae, Treponema, and Clostridiaceae, while the Bantu gut microbiome is dominated by Firmicutes. Comparisons with US Americans reveal microbiome differences between Africans and westerners but show western-like features in the Bantu, including an increased abundance of predictive carbohydrate and xenobiotic metabolic pathways. In contrast, the hunter-gatherer gut shows increased abundance of predicted virulence, amino acid, and vitamin metabolism functions, as well as dominance of lipid and amino-acid-derived metabolites, as determined through metabolomics. Our results demonstrate gradients of traditional subsistence patterns in two neighboring African groups and highlight the adaptability of the microbiome in response to host ecology.
PMID: 26923597 [PubMed - as supplied by publisher]
Effects of Pinellia ternata (Thunb.) Berit. on the metabolomic profiles of placenta and amniotic fluid in pregnant rats.
Effects of Pinellia ternata (Thunb.) Berit. on the metabolomic profiles of placenta and amniotic fluid in pregnant rats.
J Ethnopharmacol. 2016 Feb 23;
Authors: Xie HH, Xu JY, Xie T, Meng X, Lin LL, He LL, Wu H, Shan JJ, Wang SC
Abstract
ETHNOPHARMACOLOGICAL RELEVANCE: Banxia (BX) is the root of Pinellia ternata (Thunb.) Berit. Its processed products, such as Jiang Banxia (JBX), have been clinically used in traditional Chinese medicine to treat vomiting, coughing, and inflammation. However, data for their safety for pregnant women are contradictory and confusing.
AIM OF THE STUDY: To further explore the safety of BX, an ultra-performance liquid chromatography coupled with liquid chromatography-mass spectrometry (LC-MS) and gas chromatography-mass spectrometry (GC-MS) metabolomics approach was used to evaluate the metabolic perturbation in pregnant rats caused by BX and JBX.
MATERIALS AND METHODS: Placenta and amniotic fluid samples were collected from control Sprague-Dawley pregnant rats and exposed to BX suspension and JBX decoction (1.434g/kg/day). Samples were analyzed using LC-MS and GC-MS. The acquired MS data of above samples were further subjected to multivariate data analysis, and the significantly altered metabolites were identified. The associated pathways were constructed using MetaboAnalyst 3.0.
RESULTS: The weight and histopathology of the placenta from each group of rats had no definite difference. However, we found 20 differential endogenous metabolites that changed significantly in the placenta and amniotic fluid samples. The alterations of identified metabolites indicated a perturbation in glycerophospholipid metabolism, amino acid metabolism, and carbohydrate metabolism in pregnant rats exposed to BX and JBX.
CONCLUSION: In summary, this work suggested that oral administration of BX and JBX may induce disturbances in the intermediary metabolism in pregnant rats. This work contributes to further understanding the safety of BX and its processed products.
PMID: 26923539 [PubMed - as supplied by publisher]
Adaptive Preconditioning in Neurological Diseases - Therapeutic Insights from Proteostatic Perturbations.
Adaptive Preconditioning in Neurological Diseases - Therapeutic Insights from Proteostatic Perturbations.
Brain Res. 2016 Feb 25;
Authors: Mollereau B, Rzechorzek NM, Roussel BD, Sedru M, Van den Brink D, Bailly-Maitre B, Palladino F, Medinas DB, Domingos PM, Hunot S, Chandran S, Birman S, Baron T, Vivien D, Duarte CB, Ryoo HD, Steller H, Urano F, Chevet E, Kroemer G, Ciechanover A, Calabrese EJ, Kaufman RJ, Hetz C
Abstract
In neurological disorders, both acute and chronic neural stress can disrupt cellular proteostasis, resulting in the generation of pathological protein. However in most cases, neurons adapt to these proteostatic perturbations by activating a range of cellular protective and repair responses, thus maintaining cell function. These interconnected adaptive mechanisms comprise a 'proteostasis network' and include the unfolded protein response, the ubiquitin proteasome system and autophagy. Interestingly, several recent studies have shown that these adaptive responses can be stimulated by preconditioning treatments, which confer resistance to a subsequent toxic challenge - the phenomenon known as hormesis. In this review we discuss the impact of adaptive stress responses stimulated in diverse human neuropathologies including Parkinson´s disease, Wolfram syndrome, brain ischemia, and brain cancer. Further, we examine how these responses - and the molecular pathways they recruit - might be exploited for therapeutic gain.
PMID: 26923166 [PubMed - as supplied by publisher]
Exploratory Urinary Metabolomics of Type 1 Leprosy Reactions.
Exploratory Urinary Metabolomics of Type 1 Leprosy Reactions.
Int J Infect Dis. 2016 Feb 25;
Authors: Mayboroda OA, van Hooij A, Derks R, van den Eeden SJ, Dijkman K, Khadge S, Thapa P, Kunwar CB, Hagge DA, Geluk A
Abstract
BACKGROUND: Leprosy is an infectious disease caused by Mycobacterium leprae that affects the skin and nerves. Although curable by multidrug therapy, leprosy is complicated by acute inflammatory episodes, called reactions, the major cause of irreversible neuropathy in leprosy that occur before, during and even after treatment. Early diagnosis and prompt treatment of reactions reduces the risk for permanent disability.
METHODS: This exploratory study investigated whether urinary metabolic profiles could be identified that correlate with early signs of reversal reactions (RR). A prospective cohort consisting of leprosy patients with and without reactions as well as endemic controls, was recruited in Nepal and urine-derived metabolic profiles were measured longitudinally. Thus, we extended a conventional area of biomarker identification for leprosy towards noninvasive urine testing.
RESULTS: For the first time in mycobacterial diseases it was found that the urinary metabolome can be used to discriminate endemic controls from untreated patients. Moreover, metabolic signatures in urine of patients developing RR were clearly different before RR onset compared to those at RR diagnosis.
CONCLUSION: This study indicates that urinary metabolic profiles are promising host biomarkers for detecting intra-individual changes during acute inflammation in leprosy and can contribute to early treatment and prevention of tissue damage.
PMID: 26923082 [PubMed - as supplied by publisher]
Roles of Sphincter of Oddi Laxity in Bile Duct Microenvironment in Patients with Cholangiolithiasis: From the Perspective of the Microbiome and Metabolome.
Roles of Sphincter of Oddi Laxity in Bile Duct Microenvironment in Patients with Cholangiolithiasis: From the Perspective of the Microbiome and Metabolome.
J Am Coll Surg. 2016 Mar;222(3):269-280.e10
Authors: Liang T, Su W, Zhang Q, Li G, Gao S, Lou J, Zhang Y, Ma T, Bai X
Abstract
BACKGROUND: Bile duct microenvironment plays several key roles in cholangiolithiasis occurrence. Sphincter of Oddi laxity (SOL) is associated with cholangiolithiasis, probably due to enhanced reflux of intestinal contents that changes the microenvironment. However, the microenvironment has not been investigated comprehensively.
STUDY DESIGN: Patients with cholangiolithiasis were consecutively recruited and their bile was collected intraoperatively for high-throughput experiments. Pyrosequencing of 16S ribosomal RNA gene was performed to characterize the microbiota in the bile. A liquid chromatography mass spectrometry-based method was used to profile bile composition. Clinical manifestation, microbiome, and bile composition were compared between patients with and without SOL.
RESULTS: Eighteen patients with SOL and 27 patients without SOL were finally included. Patients with SOL showed more severe inflammation. Bacteria in the bile duct were overwhelmingly aerobes and facultative anaerobes. Proteobacteria and Firmicutes were the most widespread phylotypes, especially Enterobacteriaceae. Compared with those without SOL, patients with SOL possessed more varied microbiota. In the SOL group, pathobionts, such as Bilophila and Shewanella algae had richer communities, and harmless bacteria were reduced. Metabolomics analysis showed the differences in bile composition between groups were mainly distributed in lipids and bile acids. Particularly, the increased abundance of Bilophila involved in taurine metabolism was associated with reduced contents of taurine derivatives in the bile of patients with SOL.
CONCLUSIONS: A bile duct microenvironment with more severe bacterial infection and stronger lithogenicity was found in patients with SOL. The findings suggest a possible mechanism of cholangiolithiasis and provide the basis for future strategies for prevention of cholangiolithiasis recurrence.
PMID: 26922601 [PubMed - as supplied by publisher]
(1)H NMR and GC-MS based metabolomics reveal nano-Cu altered cucumber (Cucumis sativus) fruit nutritional supply.
(1)H NMR and GC-MS based metabolomics reveal nano-Cu altered cucumber (Cucumis sativus) fruit nutritional supply.
Plant Physiol Biochem. 2016 Feb 10;
Authors: Zhao L, Hu J, Huang Y, Wang H, Adeleye A, Ortiz C, Keller AA
Abstract
It is imperative to study the interaction of nanoparticles residuals with crop plants in agricultural soils, due to the increased application of nanotechnology in agriculture. So far, a few studies have focused on the impact of nanoparticles on fruit quality and nutritional supply. In this work, a thorough and comprehensive analysis of metabolite changes of cucumber fruits from plants under nano-Cu stress was possible through the use of both (1)H NMR and GC-MS. The results of supervised partial least-squares discriminant analysis from both platforms showed that cucumber fruit extracts samples were clearly grouped based on the nano-Cu level in soil. This indicates that the fruit metabolite profile was influenced by exposure to nano-Cu. GC-MS data showed concentrations of some sugars, organic acids, amino acids, and fatty acids were increased or decreased by nano-Cu. Several metabolites, such as methylnicotinamide (MNA), trigonelline, imidazole, quinolinate were only detected and quantified by (1)H NMR. Our results showed that combining the two platforms provided a comprehensive understanding about the metabolites (nutrient supply) changes in cucumber fruits impacted by exposure to nano-Cu.
PMID: 26922143 [PubMed - as supplied by publisher]