A5071566082- Metabolomics and Mass Spectrometry Studies
- Pharmaceutical and Antibiotic Environmental Impacts
- Environmental Toxicology and Ecotoxicology
- Reproductive biology and impacts on aquatic species
- Fish Ecology and Management Studies
- Effects and risks of endocrine disrupting chemicals
- Aquaculture Nutrition and Growth
- Hormonal and reproductive studies
- Toxic Organic Pollutants Impact
- Physiological and biochemical adaptations
- Pesticide and Herbicide Environmental Studies
- Spectroscopy and Chemometric Analyses
- Advanced Proteomics Techniques and Applications
- Computational Drug Discovery Methods
- Microbial bioremediation and biosurfactants
- Enzyme Structure and Function
- Advanced Chemical Sensor Technologies
- RNA and protein synthesis mechanisms
- Pharmacological Effects and Assays
- Isotope Analysis in Ecology
- Pesticide Residue Analysis and Safety
- Molecular Biology Techniques and Applications
- Analytical Chemistry and Chromatography
- Spectroscopy Techniques in Biomedical and Chemical Research
- Meta-analysis and systematic reviews
Environmental Protection Agency
2015-2024
NCCOS Hollings Marine Laboratory
2008
University of Birmingham
2008
Imperial College London
2008
Research Triangle Park Foundation
2007
University of Georgia
2003-2005
University of Tennessee at Knoxville
2000-2001
St. Jude Children's Research Hospital
2000
Lund University
1990
Metabolomics datasets, by definition, comprise of measurements large numbers metabolites. Both technical (analytical) and biological factors will induce variation within these that is not consistent across all Consequently, criteria are required to assess the reproducibility metabolomics datasets derived from detected Here we calculate spectrum-wide relative standard deviations (RSDs; also termed coefficient variation, CV) for ten spanning a variety sample types mammals, fish, invertebrates...
Several fundamental requirements must be met so that NMR-based metabolomics and the related technique of metabonomics can formally adopted into environmental monitoring chemical risk assessment. Here we report an intercomparison exercise which has evaluated effectiveness 1H NMR to generate comparable data sets from environmentally derived samples. It focuses on laboratory practice follows sample collection metabolite extraction, specifically final stages preparation, (500, 600, 800 MHz),...
While grouping/read-across is widely used to fill data gaps, chemical registration dossiers are often rejected due weak category justifications based on structural similarity only. Metabolomics provides a route robust categories via evidence of shared molecular effects across source and target substances. To gain international acceptance, this approach must demonstrate high reliability, best-practice guidance required. The MetAbolomics ring Trial for CHemical groupING (MATCHING), comprising...
The application of 'omics tools to biologically based monitoring and surveillance aquatic environments shows considerable promise for complementing chemical in ecological risk assessments. However, few the current approaches offer ability sample ecologically relevant species (e.g., fish) a way that produces minimal impact on health organism(s) under study. In study we employ liquid chromatography tandem mass spectrometry (LC-MS/MS) assess potential skin mucus-based metabolomics minimally...
Abstract Serial analysis of gene expression was used to profile transcript levels in Arabidopsis roots and assess their responses 2,4,6-trinitrotoluene (TNT) exposure. SAGE libraries representing control TNT-exposed seedling root transcripts were constructed, each sequenced a depth roughly 32,000 tags. More than 19,000 unique tags identified overall. The second most highly induced tag (27-fold increase) represented glutathione S-transferase. Cytochrome P450 enzymes, as well an ABC...
1H NMR spectroscopy was used to profile metabolite changes in the livers of fathead minnows (Pimephales promelas) exposed synthetic estrogen 17α-ethynylestradiol (EE2) via a continuous flow water exposure. Fish were either 10 or 100 ng EE2/L for 8 days, followed by an day depuration phase. Livers collected after days 1, 4, and exposure, at end Analysis polar extracts liver revealed greater impact EE2 on males than females, with profiles former assuming similarities those females (i.e.,...
Organisms are exposed to ever-changing complex mixtures of chemicals over the course their lifetime. The need more comprehensively describe this exposure and relate it adverse health effects has led formulation exposome concept in human toxicology. Whether utility context environmental hazard risk assessment not been discussed detail. In Critical Perspective, we propose-by analogy exposome-to define eco-exposome as totality internal (anthropogenic natural chemicals, biotransformation...
The ability to focus on the most biologically relevant contaminants affecting aquatic ecosystems can be challenging because toxicity-assessment programs have not kept pace with growing number of requiring testing. Because it has proven effective at assessing biological impacts potentially toxic contaminants, profiling endogenous metabolites (metabolomics) may help screen out a lower likelihood eliciting impacts, thereby prioritizing important contaminants. authors present results from study...
Abstract The impact of exposure by water to a model androgen, 17β-trenbolone (TRB), was assessed in fathead minnows using an integrated molecular approach. This included classical measures endocrine such as impacts on testosterone (T), 17β-estradiol (E2), and vitellogenin (VTG) concentrations plasma, well determination effects the hepatic metabolome proton nuclear magnetic resonance spectroscopy. In addition, rates production T E2 ovary explants were measured, changes number ovarian gene...
Male and female fathead minnows (Pimephales promelas, FHM) were exposed via water to 20 or 200 μg/L of cyproterone acetate (CA), a model androgen receptor (AR) antagonist. FHM also 500 ng/L 17β-trenbolone (TB), AR agonist, mixtures TB with both concentrations CA. The urine metabolite profile (as measured by 1H NMR spectroscopy) male the high concentration CA was markedly different from that controls, this difference less for males coexposed associated TB+CA mixture. exposure alone had almost...
There is increasing demand for the implementation of effects-based monitoring and surveillance (EBMS) approaches in Great Lakes Basin to complement traditional chemical monitoring. Herein, we describe an ongoing multiagency effort develop implement EBMS tools, particularly with regard potentially toxic chemicals assessing Areas Concern (AOCs), as envisioned by Restoration Initiative (GLRI). Our strategy includes use both targeted open-ended/discovery techniques, appropriate amount...
We investigated the efficacy of metabolomics for field-monitoring fish exposed to wastewater treatment plant (WWTP) effluents and nonpoint sources chemical contamination. Lab-reared male fathead minnows (Pimephales promelas, FHM) were held in mobile monitoring units on-location surface waters upstream downstream effluent point source, as well actual at three different WWTP sites Minnesota. After four days exposure, livers collected, extracted, analyzed by (1)H NMR spectroscopy GC-MS...
Widespread environmental contamination by bisphenol A (BPA) has created the need to fully define its potential toxic mechanisms of action (MOA) properly assess human health and ecological risks from exposure. Although long recognized as an estrogen receptor (ER) agonist, some data suggest that BPA may also behave androgen (AR) antagonist. However, direct evidence this activity is deficient. To address knowledge gap, we employed a metabolomic approach using in vivo exposures fathead minnows...
Estrogenic chemicals in the aquatic environment have been shown to cause a variety of reproductive anomalies fish including full sex reversal, intersex, and altered population ratios. Two estrogens found environment, 17α-ethinylestradiol (EE2) 17β-estradiol (E2), measured wastewater treatment effluents adverse effects fish. To further our understanding how estrogen exposure affects endpoints male fathead minnow (FHM, Pimephales promelas), physiologically based computational model was...
There is a pressing need to increase the throughput of NMR analysis in fields such as metabolomics and drug discovery. Direct injection (DI) automation recognized have potential meet this due its suitability for integration with 96-well plate format. However, DI has not been widely used result some insurmountable technical problems; namely: carryover contamination, sample diffusion (causing reduction spectral sensitivity), line broadening caused by entrapped air bubbles. Several variants...