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1.
Chem Res Toxicol ; 32(2): 265-284, 2019 02 18.
Article in English | MEDLINE | ID: mdl-30604967

ABSTRACT

Previously, we demonstrated that treatment of rats with myo-inositol plus ethanolamine (ME) elevated brain ethanolamine plasmalogens (PE-Pls) and protected against phosphine-induced oxidative stress. Here we tested the hypothesis that ME treatment elevates PE-Pls in a neuro-2A (N2A) cell culture system and protects against hydrogen peroxide (H2O2)-induced oxidative stress, and we assessed the effects of treatments using myo-inositol with or without (+/-) ethanolamine on ethanolamine phospholipids (PLs) and cell viability following H2O2 exposure. Cells were treated with equimolar amounts (500 µM) of myo-inositol, ethanolamine (Etn), or their combination (ME) for 24 h, followed by an additional 24 h exposure to 650 µM H2O2. NMR analyses evaluated the treatment effects on Etn PLs, while LC-MS/MS analyses assessed the molecular species of Etn PLs preferentially affected by ME and H2O2 treatments, especially PE-Pls and their degradation byproducts-lysophosphatidylethanolamine (LPE) and glycerophosphoethanolamine (GPE). Only ME influenced the cellular levels of PLs. ME yielded a 3-fold increase in PE-Pls and phosphatidylethanolamine (PE) ( p < 0.001) and a preferential 60% increase in PE-Pls containing saturated and monounsaturated fatty acids (SFA+MUFA), while polyunsaturated fatty acid (PUFA) species increased by only 10%. Exposing cells to 650 µM H2O2 caused a significant cell death (56% viability), a 27% decrease in PE-Pls, a 201% increase in PUFA-rich LPE, and a ca. 3-fold increase in GPE. H2O2 had no impact on PE, suggesting that LPE and GPE were primarily the byproducts of PE-Pls (not PE) degradation. Surprisingly, ME pretreatment ameliorated H2O2 effects and significantly increased cell survival to 80% ( p < 0.05). Cellular PE-Pls levels prior to H2O2 treatment were highly correlated ( R2 = 0.95) with cell survival, suggesting a relationship between PE-Pls and cell protection. Data suggest that a preferential increase in PE-Pls containing SFA+MUFA species may protect cells from oxidative stress. Such studies aid in our understanding of the neuroprotective mechanisms that may be associated with plasmalogens and the relevance of these phospholipids to neurodegenerative diseases/disorders.


Subject(s)
Ethanolamine/pharmacology , Inositol/pharmacology , Oxidative Stress/drug effects , Plasmalogens/metabolism , Animals , Cell Line , Cell Survival/drug effects , Chromatography, High Pressure Liquid , Ethanolamine/chemistry , Hydrogen Peroxide/toxicity , Inositol/chemistry , Mice , Plasmalogens/analysis , Tandem Mass Spectrometry
2.
Mil Med ; 180(10 Suppl): 67-75, 2015 Oct.
Article in English | MEDLINE | ID: mdl-26444894

ABSTRACT

Integrated Omics research capabilities within the Air Force Research Laboratory began in 2003 with the initiation of a Defense Technology Objective project aimed to identify biomarkers of toxicity occurring within the warfighter as a preclinical indicator. Current methods for determining toxic exposures are not responsive enough or created available for deployment to prevent serious health effects. Using Integrated Omics (Genomics/Epigenetics, Proteomics, and Metabonomics) for biomarker discovery, we have identified specific molecular markers which, once validated, could be used for real-time or near-real-time monitoring of the human response to uncharacterized exposures. The determination and use of validated biomarker sets, when installed on a fieldable biomonitor system, could allow fast determination of subclinical organ damage in response to chemical exposures. Since initiation of this program, our group has applied Omics technologies for biomarker discovery in a number of toxicology and human performance projects, including jet fuel exposures and cognitive fatigue.


Subject(s)
Genomics , Metabolomics , Military Personnel , Occupational Exposure , Aerospace Medicine , Biomarkers/blood , Biomarkers/urine , Biomedical Research , Epigenomics , Hazardous Substances/toxicity , Humans , Hydrocarbons/toxicity , Laboratories , Mental Fatigue/urine , Proteomics
3.
Bioinformatics ; 25(22): 2992-3000, 2009 Nov 15.
Article in English | MEDLINE | ID: mdl-19759199

ABSTRACT

MOTIVATION: Common contemporary practice within the nuclear magnetic resonance (NMR) metabolomics community is to evaluate and validate novel algorithms on empirical data or simplified simulated data. Empirical data captures the complex characteristics of experimental data, but the optimal or most correct analysis is unknown a priori; therefore, researchers are forced to rely on indirect performance metrics, which are of limited value. In order to achieve fair and complete analysis of competing techniques more exacting metrics are required. Thus, metabolomics researchers often evaluate their algorithms on simplified simulated data with a known answer. Unfortunately, the conclusions obtained on simulated data are only of value if the data sets are complex enough for results to generalize to true experimental data. Ideally, synthetic data should be indistinguishable from empirical data, yet retain a known best analysis. RESULTS: We have developed a technique for creating realistic synthetic metabolomics validation sets based on NMR spectroscopic data. The validation sets are developed by characterizing the salient distributions in sets of empirical spectroscopic data. Using this technique, several validation sets are constructed with a variety of characteristics present in 'real' data. A case study is then presented to compare the relative accuracy of several alignment algorithms using the increased precision afforded by these synthetic data sets. AVAILABILITY: These data sets are available for download at http://birg.cs.wright.edu/nmr_synthetic_data_sets.


Subject(s)
Computational Biology/methods , Nuclear Magnetic Resonance, Biomolecular , Algorithms , Databases, Protein , Metabolomics , Sequence Analysis, Protein
4.
Toxicology ; 243(1-2): 177-92, 2008 Jan 14.
Article in English | MEDLINE | ID: mdl-18061331

ABSTRACT

Renal toxicity can commonly occur after exposure to xenobiotics, pharmaceutical agents or environmental pollutants. Changes in the gene expression in kidney parenchymal cells that precede and/or accompany renal injury may be hallmark critical events in the onset of pathologic changes of renal functions. Over the last several years, transcriptomic analysis has evolved to enable simultaneous analysis of the expression profiles of tens of thousands of genes in response to various endogenous and exogenous stimuli. In this study, we investigated gene expression changes in the kidney after acute exposure to a nephrotoxin, D-serine, which targets the proximal tubule of the kidney. Male F-344 rats injected intraperitoneally with a single dose of D-serine (5, 20, 50, 200 or 500 mg/kg), and gene expression profiles in the kidney were determined using the Affymetrix RAE230A gene arrays at 96 h post-dosing. D-serine treatment resulted in the up- and down-regulation of 1158 and 749 genes, respectively, over the entire dose range based on the intersection of the results of t-test, p<0.01 over two consecutive doses, and ANOVA with Bonferonni correction for multiple testing. Interestingly, both the up-and down-regulated genes show a unified dose response pattern as revealed in the self-organized map clustering analysis using the expression profiles of the 1907 differentially expressed genes as input data. There appears to be minimal changes in the expression level of these genes in the dose range of 5-50 mg/kg, while the most prominent changes were observed at the highest doses tested, i.e. 200 and 500 mg/kg. Pathway analysis of the differentially expressed genes showed perturbation of a large number of biological processes/pathways after d-serine exposure. Among the up-regulated pathways are actin cytoskeleton biogenesis and organization, apoptosis, cell cycle regulation, chromatin assembly, excision repair of damaged DNA, DNA replication and packaging, protein biosynthesis, metabolism and transport, inflammatory response, proteasome-mediated degradation of oxidatively damaged cytosolic proteins, Ras protein signal transduction, TGF-beta signaling pathway and mRNA transcription, processing, splicing and transport. On the other hand, major metabolic pathways, which include carbohydrate metabolism, TCA cycle, oxidative phosphorylation, ATP synthesis coupled electron transport, amino acid metabolism and transport, lipid metabolism, nucleotide metabolism, and vitamin metabolism, and oxidative stress response including induction of antioxidant genes and glutathione metabolism are down-regulated. As tubular epithelia have strong energy demand for normal functions, down-regulation of energy metabolism after D-serine treatment may be related to the mechanism of its nephrotoxicity. In addition, hydrogen peroxide, a reactive oxygen species, is produced as a byproduct of the metabolism of D-serine by D-amino acid oxidase in the peroxisomes of the tubular epithelia. Down-regulation of pathways for antioxidant genes induction and glutathione metabolism will likely exacerbate the cytotoxicity of this reactive oxygen species. The observation that the genes involved in apoptosis, DNA repair, proteasome pathway for the degradation of oxidatively damaged cytosolic proteins were up-regulated lends some supports to this premise. Up-regulation of pathways of cell proliferation cycle, DNA replication and gene expression process, including mRNA transcription, processing, splicing, transport, translation initiation, and protein transport along with protein complex assembly, suggests ongoing tissue repair and regeneration. Consistent with the fibrogenic function of the TGF-beta signaling pathway in various experimental renal diseases, genes encoding major extracellular matrix components such as collagens, laminins, fibronectin 1 and tenascins are also strongly up-regulated. Taken together, the results of this study provide important insights into the molecular mechanism of D-serine nephrotoxicity, as well as the activation of specific cellular pathways in response to this toxic insult.


Subject(s)
Energy Metabolism/drug effects , Gene Expression/drug effects , Kidney , Oxidative Stress/drug effects , Serine/toxicity , Animals , Cluster Analysis , Dose-Response Relationship, Drug , Down-Regulation , Energy Metabolism/genetics , Fibrosis , Gene Expression Profiling , Kidney/drug effects , Kidney/metabolism , Kidney/pathology , Kidney Function Tests , Male , Oligonucleotide Array Sequence Analysis , Oxidative Stress/genetics , Rats , Rats, Inbred F344 , Serine/chemistry , Stereoisomerism , Up-Regulation
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