An Extensive Metabolomics Workflow to Discover Cardiotoxin-Induced Molecular Perturbations in Microtissues.
An Extensive Metabolomics Workflow to Discover Cardiotoxin-Induced Molecular Perturbations in Microtissues.
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DOI:
10.3390/metabo11090644
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发表时间:
2021-09-21
期刊:
影响因子:
4.1
通讯作者:
Viant MR
中科院分区:
文献类型:
--
作者:
Bowen TJ;Hall AR;Lloyd GR;Weber RJM;Wilson A;Pointon A;Viant MR
Discovering modes of action and predictive biomarkers of drug-induced structural cardiotoxicity offers the potential to improve cardiac safety assessment of lead compounds and enhance preclinical to clinical translation during drug development. Cardiac microtissues are a promising, physiologically relevant, in vitro model, each composed of ca. 500 cells. While untargeted metabolomics is capable of generating hypotheses on toxicological modes of action and discovering metabolic biomarkers, applying this technology to low-biomass microtissues in suspension is experimentally challenging. Thus, we first evaluated a filtration-based approach for harvesting microtissues and assessed the sensitivity and reproducibility of nanoelectrospray direct infusion mass spectrometry (nESI-DIMS) measurements of intracellular extracts, revealing samples consisting of 28 pooled microtissues, harvested by filtration, are suitable for profiling the intracellular metabolome and lipidome. Subsequently, an extensive workflow combining nESI-DIMS untargeted metabolomics and lipidomics of intracellular extracts with ultra-high performance liquid chromatography-mass spectrometry (UHPLC-MS/MS) analysis of spent culture medium, to profile the metabolic footprint and quantify drug exposure concentrations, was implemented. Using the synthetic drug and model cardiotoxin sunitinib, time-resolved metabolic and lipid perturbations in cardiac microtissues were investigated, providing valuable data for generating hypotheses on toxicological modes of action and identifying putative biomarkers such as disruption of purine metabolism and perturbation of polyunsaturated fatty acid levels.
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影响因子:
120.1
作者:
Cook, David;Brown, Dearg;Pangalos, Menelas N.
通讯作者:
Pangalos, Menelas N.
DOI:
10.1093/toxsci/kfx097
发表时间:
2017-08-01
期刊:
Toxicological sciences : an official journal of the Society of Toxicology
影响因子:
--
作者:
Brockmeier EK;Hodges G;Hutchinson TH;Butler E;Hecker M;Tollefsen KE;Garcia-Reyero N;Kille P;Becker D;Chipman K;Colbourne J;Collette TW;Cossins A;Cronin M;Graystock P;Gutsell S;Knapen D;Katsiadaki I;Lange A;Marshall S;Owen SF;Perkins EJ;Plaistow S;Schroeder A;Taylor D;Viant M;Ankley G;Falciani F
通讯作者:
Falciani F
影响因子:
4.6
作者:
Archer CR;Sargeant R;Basak J;Pilling J;Barnes JR;Pointon A
通讯作者:
Pointon A
影响因子:
3.8
作者:
Doherty, Kimberly R.;Wappel, Robert L.;Bacus, Sarah
通讯作者:
Bacus, Sarah
影响因子:
3.7
作者:
Bordag N;Janakiraman V;Nachtigall J;González Maldonado S;Bethan B;Laine JP;Fux E
通讯作者:
Fux E