2011
DOI: 10.1371/journal.pone.0020862
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Biological Responses to Perfluorododecanoic Acid Exposure in Rat Kidneys as Determined by Integrated Proteomic and Metabonomic Studies

Abstract: BackgroundPerfluorododecanoic acid (PFDoA) is a perfluorinated carboxylic chemical (PFC) that has broad applications and distribution in the environment. While many studies have focused on hepatotoxicity, immunotoxicity, and reproductive toxicity of PFCAs, few have investigated renal toxicity.Methodology/Principal FindingsHere, we used comparative proteomic and metabonomic technologies to provide a global perspective on renal response to PFDoA. Male rats were exposed to 0, 0.05, 0.2, and 0.5 mg/kg/day of PFDoA… Show more

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Cited by 33 publications
(28 citation statements)
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“…If the maximum value of Q 2 max from the permutation test was smaller than or equal to the Q 2 of the real model, the model was regarded as a predictable model. Similarly, the R 2 value and difference between the R 2 and Q 2 were used to evaluate the possibility of over-fitted models [21]. Metabolites were assigned following the tabulated chemical shifts [40] and quantified by using the software, Chenomx (Evaluation Version, Chenomx Inc., Edmonton, Alberta, Canada).…”
Section: Spectral Pre-processing and Pattern Recognition Analysismentioning
confidence: 99%
See 1 more Smart Citation
“…If the maximum value of Q 2 max from the permutation test was smaller than or equal to the Q 2 of the real model, the model was regarded as a predictable model. Similarly, the R 2 value and difference between the R 2 and Q 2 were used to evaluate the possibility of over-fitted models [21]. Metabolites were assigned following the tabulated chemical shifts [40] and quantified by using the software, Chenomx (Evaluation Version, Chenomx Inc., Edmonton, Alberta, Canada).…”
Section: Spectral Pre-processing and Pattern Recognition Analysismentioning
confidence: 99%
“…Similar to proteomics, a comparative profiling of metabolomes can give metabolic responses induced by exogenous factors in organisms [19,20]. Since proteomics and metabolomics may characterize the perturbations in metabolites and proteins involved in the same metabolic pathway, their combination can better understand the biological effects of stressors in organisms [21]. These perturbed metabolites and proteins are a definite set of molecular biomarkers related to biological effects of stressors [11,12].…”
Section: Introductionmentioning
confidence: 99%
“…If the maximum value of Q 2 max from the permutation test was smaller than or equal to the Q 2 of the real model, the model was regarded as a predictable model. Similarly, the R 2 value and difference between the R 2 and Q 2 were used to evaluate the possibility of over-fitted models [14]. Metabolites were assigned following the tabulated chemical shifts [33] and quantified by using the software, Chenomx (Evaluation Version, Chenomx Inc., Edmonton, Alberta, Canada).…”
Section: Spectral Pre-processing and Multivariate Analysismentioning
confidence: 99%
“…Similar to proteomics, comparisons on metabolomes can discover metabolic responses induced by stressors in organisms [12,13]. Since metabolomics and proteomics can directly characterize the perturbations of metabolic pathways and linked enzymes and stress-responsive proteins, an integration of these two 'eomics' techniques can present an insightful view into the stressor-induced responses [14]. To our knowledge, very few investigations have been carried out to test the responses induced by bacteria in marine aquaculture animals using an integrated proteomic and metabolomic approach.…”
Section: Introductionmentioning
confidence: 99%
“…Metabolomics usually focuses on the whole set of low molecular weight (<1000 Da) metabolites that are the end products in multiple biological systems including organs, tissues, biofluids, or even whole organisms. Since metabolomics and proteomics can directly characterize the perturbations of metabolic pathways and linked enzymes and stress-responsive proteins, an integration of these two -omic techniques may present an insightful view into the stressor-induced responses (Zhang et al, 2011a).…”
Section: Introductionmentioning
confidence: 99%