2015
DOI: 10.1016/j.chemosphere.2015.07.030
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1H NMR based metabolomics approach to study the toxic effects of dichlorvos on goldfish (Carassius auratus)

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Cited by 36 publications
(20 citation statements)
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“…Color-coded loading plots were constructed to demonstrate which variables are responsible for group separation. The fold-change values of metabolites were highlighted by using color-code in colored tables as well as their p -values adjusted by the Benjamini-Hochberg method [ 27 ].…”
Section: Methodsmentioning
confidence: 99%
“…Color-coded loading plots were constructed to demonstrate which variables are responsible for group separation. The fold-change values of metabolites were highlighted by using color-code in colored tables as well as their p -values adjusted by the Benjamini-Hochberg method [ 27 ].…”
Section: Methodsmentioning
confidence: 99%
“…Whether atrazine interferes with Ar signaling is still unknown, but altered androgen metabolism was observed in fish exposed to atrazine (Moore and Waring, 1998;Spano et al, 2004). On the contrary, Dichlorvosan insecticide that shortens ceratobranchial bones in African catfish (Clarias gariepinus; Doherty et al, 2016)was found to affect Ar activity in a cell-based screening assay (Tavassoli et al, 2007), while also inhibiting acetylcholinesterase and inducing oxidative stress in vivo (Liu et al, 2015;Doherty et al, 2016).…”
Section: Androgen Receptormentioning
confidence: 99%
“…Furthermore, 1 H-NMR spectroscopy combined with pattern recognition and related multivariate statistical methods could offer an efficient way for assessing the metabolic functions 18,19 . It can also identify significant inherent patterns in a set of indirect measurements that classify objects combined with pattern recognition methods, such as partial least-squares discriminant analysis (PLS-DA) and orthogonal projections to latent structures discriminant analysis (OPLS-DA) 20,21 . Approaches to PLS-DA or OPLS-DA could reduce the dimensionality of complex data sets, facilitate the visualization of inherent patterns among the data set and accelerate the interpretation for various functions.…”
Section: Introductionmentioning
confidence: 99%