Literature DB >> 20719749

Discriminating between different acute chemical toxicities via changes in the daphnid metabolome.

Nadine S Taylor1, Ralf J M Weber, Tom A White, Mark R Viant.   

Abstract

Currently, there is widespread interest in exploiting "omics" approaches to screen the toxicity of chemicals, potentially enabling their rapid categorization into classes of defined mode of action (MOA). Direct infusion Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS) metabolomics provides a sensitive and nontargeted analysis of potentially a thousand endogenous metabolites. Our previous work has shown that mass spectra can be recorded from whole-organism homogenate or hemolymph of single adult Daphnia magna. Here we develop multivariate models and discover perturbations to specific metabolic pathways that can discriminate between the acute toxicities of four chemicals to D. magna using FT-ICR MS metabolomics. We focus on model toxicants (cadmium, fenvalerate, dinitrophenol, and propranolol) with different MOAs. First, we confirmed that a toxicant-induced metabolic effect could be determined for each chemical in both the hemolymph and the whole-organism metabolome, with between 9 and 660 mass spectral peaks changing intensities significantly, dependent upon toxicant and sample type. Subsequently, supervised multivariate models were built that discriminated significantly all four acute metabolic toxicities, yielding mean classification error rates (across all classes) of 3.9 and 6.9% for whole-organism homogenates and hemolymph, respectively. Following extensive peak annotation, we discovered toxicant-specific perturbations to putatively identified metabolic pathways, including propranolol-induced disruption of fatty acid metabolism and eicosanoid biosynthesis and fenvalerate-induced disruption of amino sugar metabolism. We conclude that the metabolic profiles of whole-daphnid homogenates are more discriminatory for toxicant action than hemolymph. Furthermore, our findings highlight the capability of metabolomics to discover early-event metabolic responses that can discriminate between the acute toxicities of chemicals.

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Year:  2010        PMID: 20719749     DOI: 10.1093/toxsci/kfq247

Source DB:  PubMed          Journal:  Toxicol Sci        ISSN: 1096-0929            Impact factor:   4.849


  11 in total

1.  A complete workflow for high-resolution spectral-stitching nanoelectrospray direct-infusion mass-spectrometry-based metabolomics and lipidomics.

Authors:  Andrew D Southam; Ralf J M Weber; Jasper Engel; Martin R Jones; Mark R Viant
Journal:  Nat Protoc       Date:  2017-01-12       Impact factor: 13.491

2.  Assessing the environmental hazard of individual and combined pharmaceuticals: acute and chronic toxicity of fluoxetine and propranolol in the crustacean Daphnia magna.

Authors:  Valentina Varano; Elena Fabbri; Andrea Pasteris
Journal:  Ecotoxicology       Date:  2017-04-27       Impact factor: 2.823

3.  Silver nanowire exposure results in internalization and toxicity to Daphnia magna.

Authors:  Leona D Scanlan; Robert B Reed; Alexandre V Loguinov; Philipp Antczak; Abderrahmane Tagmount; Shaul Aloni; Daniel Thomas Nowinski; Pauline Luong; Christine Tran; Nadeeka Karunaratne; Don Pham; Xin Xin Lin; Francesco Falciani; Christopher P Higgins; James F Ranville; Chris D Vulpe; Benjamin Gilbert
Journal:  ACS Nano       Date:  2013-12-05       Impact factor: 15.881

4.  Metabolomics reveals target and off-target toxicities of a model organophosphate pesticide to roach (Rutilus rutilus): implications for biomonitoring.

Authors:  Andrew D Southam; Anke Lange; Adam Hines; Elizabeth M Hill; Yoshinao Katsu; Taisen Iguchi; Charles R Tyler; Mark R Viant
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Review 5.  Ecotoxicogenomic approaches for understanding molecular mechanisms of environmental chemical toxicity using aquatic invertebrate, Daphnia model organism.

Authors:  Hyo Jeong Kim; Preeyaporn Koedrith; Young Rok Seo
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6.  Analysis of Sub-Lethal Toxicity of Perfluorooctane Sulfonate (PFOS) to Daphnia magna Using ¹H Nuclear Magnetic Resonance-Based Metabolomics.

Authors:  Martha N Kariuki; Edward G Nagato; Brian P Lankadurai; André J Simpson; Myrna J Simpson
Journal:  Metabolites       Date:  2017-04-14

7.  Defining the Baseline and Oxidant Perturbed Lipidomic Profiles of Daphnia magna.

Authors:  Nadine S Taylor; Thomas A White; Mark R Viant
Journal:  Metabolites       Date:  2017-03-15

8.  Targeted metabolomics analysis of postoperative delirium.

Authors:  Bridget A Tripp; Simon T Dillon; Min Yuan; John M Asara; Sarinnapha M Vasunilashorn; Tamara G Fong; Eran D Metzger; Sharon K Inouye; Zhongcong Xie; Long H Ngo; Edward R Marcantonio; Towia A Libermann; Hasan H Otu
Journal:  Sci Rep       Date:  2021-01-15       Impact factor: 4.379

9.  Zinc Oxide Nanoparticle Caused Plasma Metabolomic Perturbations Correlate with Hepatic Steatosis.

Authors:  Weidong Zhang; Yong Zhao; Fuli Li; Lan Li; Yanni Feng; Lingjiang Min; Dongxue Ma; Shuai Yu; Jing Liu; Hongfu Zhang; Tianhong Shi; Fuwei Li; Wei Shen
Journal:  Front Pharmacol       Date:  2018-01-30       Impact factor: 5.810

10.  Metabolomics Discovers Early-Response Metabolic Biomarkers that Can Predict Chronic Reproductive Fitness in Individual Daphnia magna.

Authors:  Nadine S Taylor; Alex Gavin; Mark R Viant
Journal:  Metabolites       Date:  2018-07-23
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