Distinguishing between the metabolome and xenobiotic exposome in environmental field samples analysed by direct-infusion mass spectrometry based metabolomics and lipidomics.
Distinguishing between the metabolome and xenobiotic exposome in environmental field samples analysed by direct-infusion mass spectrometry based metabolomics and lipidomics.
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DOI：
10.1007/s11306-014-0693-3
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发表时间：
2014
期刊：
影响因子：
3.6
通讯作者：
Viant, Mark R.
中科院分区：
文献类型：
--
作者：
Southam, Andrew D.;Lange, Anke;Al-Salhi, Raghad;Hill, Elizabeth M.;Tyler, Charles R.;Viant, Mark R.
Environmental metabolomics is increasingly used to investigate organismal responses to complex chemical mixtures, including waste water effluent (WWE). In parallel, increasingly sensitive analytical methods are being used in metabolomics studies, particularly mass spectrometry. This introduces a considerable, yet overlooked, challenge that high analytical sensitivity will not only improve the detection of endogenous metabolites in biological specimens but also exogenous chemicals. If these often unknown xenobiotic features are not removed from the “biological” dataset, they will bias the interpretation and could lead to incorrect conclusions about the biotic response. Here we illustrate and validate a novel workflow classifying the origin of peaks detected in biological samples as: endogenous, xenobiotics, or metabolised xenobiotics. The workflow is demonstrated using direct infusion mass spectrometry-based metabolomic analysis of testes from roach exposed to different concentrations of a complex WWE. We show that xenobiotics and their metabolic products can be detected in roach testes (including triclosan, chloroxylenol and chlorophene), and that these compounds have a disproportionately high level of statistical significance within the total (bio)chemical changes induced by the WWE. Overall we have demonstrated that this workflow extracts more information from an environmental metabolomics study of complex mixture exposures than was possible previously. The online version of this article (doi:10.1007/s11306-014-0693-3) contains supplementary material, which is available to authorized users.
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影响因子：
10.4
作者：
Van Aggelen G;Ankley GT;Baldwin WS;Bearden DW;Benson WH;Chipman JK;Collette TW;Craft JA;Denslow ND;Embry MR;Falciani F;George SG;Helbing CC;Hoekstra PF;Iguchi T;Kagami Y;Katsiadaki I;Kille P;Liu L;Lord PG;McIntyre T;O'Neill A;Osachoff H;Perkins EJ;Santos EM;Skirrow RC;Snape JR;Tyler CR;Versteeg D;Viant MR;Volz DC;Williams TD;Yu L
通讯作者：
Yu L
DOI：
10.1111/j.2517-6161.1995.tb02031.x
发表时间：
1995-01-01
影响因子：
5.8
作者：
BENJAMINI, Y;HOCHBERG, Y
通讯作者：
HOCHBERG, Y
影响因子：
10.4
作者：
Jobling S;Burn RW;Thorpe K;Williams R;Tyler C
通讯作者：
Tyler C
影响因子：
3.8
作者：
Calabrese, EJ;Baldwin, LA
通讯作者：
Baldwin, LA
影响因子：
11.4
作者：
Flores-Valverde, Anel M.;Horwood, Julia;Hill, Elizabeth M.
通讯作者：
Hill, Elizabeth M.