The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
NMR-based metabonomic analysis of the hepatotoxicity induced by combined exposure to PCBs and TCDD in rats
Abstract
A metabonomic approach using (1)H NMR spectroscopy was adopted to investigate the metabonomic pattern of rat urine after oral administration of environmental endocrine disruptors (EDs) polychlorinated biphenyls (PCBs) and 2,3,7,8-tetrachlorodibenzo- p-dioxin (TCDD) alone or in combination and to explore the possible hepatotoxic mechanisms of combined exposure to PCBs and TCDD. (1)H NMR spectra of urines collected 24h before and after exposure were analyzed via pattern recognition by using principal component analysis (PCA). Serum biochemistry and liver histopathology indicated significant hepatotoxicity in the rats of the combined group. The PCA scores plots of urinary (1)H NMR data showed that all the treatment groups could be easily distinguished from the control group, so could the PCBs or TCDD group and the combined group. The loadings plots of the PCA revealed remarkable increases in the levels of lactate, glucose, taurine, creatine, and 2-hydroxy-isovaleric acid and reductions in the levels of 2-oxoglutarate, citrate, succinate, hippurate, and trimethylamine-N-oxide in rat urine after exposure. These changes were more striking in the combined group. The changed metabolites may be considered possible biomarker for the hepatotoxicity. The present study demonstrates that combined exposure to PCBs and TCDD induced significant hepatotoxicity in rats, and mitochondrial dysfunction and fatty acid metabolism perturbations might contribute to the hepatotoxicity. There was good c…
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Various animal studies and in vitro models have identified changes in the metabolomic profile in the presence of DILI [13,16,22,23,24,25,26,27,28,29,30,31,32,33,34,35].”
From Metabolomic Analysis of Pediatric Patients with Idiosyncratic Drug-Induced Liver Injury According to the Updated RUCAM (2023) · cites this paper as [25]
Citations
Cites
Regulation of hepatic fatty acid oxidation and ketone body production
McGarry, J. D., & Foster, D. W. (1980) · Annual Review of Biochemistry · doi:10.1146/annurev.bi.49.070180.002143 · Cited by 1,460 · cited 1×
“In addition, the increased levels of glucose and lactate in the urine from treated animals are consistent with mitochondrial impairment; this proposed inability may result from a lack of acetylCoA in themitochondria as a result of a reduction in the rate of oxidative phosphorylation and fatty acid β-oxidation (McGarry…”
Background
Flagged first, then by citations
Research works printed but not linked: 38
- Aragon, 2008, In utero and lactational 2, 3, 7, 8-tetrachlorodibenzo-p-dioxin exposure: effects on fetal and adult cardiac gene expression and adult cardiac and renal morphology, Toxicol. Sci., 101, 321, 10.1093/toxsci/kfm272 · DOI
- Azmi, 2005, Chemometric analysis of biofluids following toxicant induced hepatotoxicity: a metabonomic approach to distinguish the effects of 1-naphthylisothiocyanate from its products, Xenobiotica, 35, 839, 10.1080/00498250500297940 · DOI
- Bain, 2009, Metabolomics applied to diabetes research: moving from information to knowledge, Diabetes, 58, 2429, 10.2337/db09-0580 · DOI
- Beckwith-Hall, 1998, Nuclear magnetic resonance spectroscopic and principal components analysis investigations into biochemical effects of three model hepatotoxins, Chem. Res. Toxicol., 11, 260, 10.1021/tx9700679 · DOI
- Bollard, 2005, NMR-based metabonomic approaches for evaluating physiological influences on biofluid composition, NMR Biomed., 18, 143, 10.1002/nbm.935 · DOI
- Boverhof, 2006, Comparative toxicogenomic analysis of the hepatotoxic effects of TCDD in Sprague Dawley rats and C57BL/6 mice, Toxicol. Sci., 94, 398, 10.1093/toxsci/kfl100 · DOI
- Connor, 2004, Effects of feeding and body weight loss on the 1H-NMR-based urine metabolic profiles of male Wistar Han rats: implications for biomarker discovery, Biomarkers, 9, 156, 10.1080/13547500410001720767 · DOI
- Craig, 2006, Scaling and normalization effects in NMR spectroscopic metabonomic data sets, Anal. Chem., 78, 2262, 10.1021/ac0519312 · DOI
- DellaVecchia, 2007, NMR analysis of [methyl-13C]methionine UvrB from Bacillus caldotenax reveals UvrB-domain 4 heterodimer formation in solution, J. Mol. Biol., 373, 282, 10.1016/j.jmb.2007.07.045 · DOI
- Desaulniers, 2005, Effects of postnatal exposure to a mixture of polychlorinated biphenyls, p, p′-dichlorodiphenyltrichloroethane, and p-p′-dichlorodiphenyldichloroethene in prepubertal and adult female Sprague-Dawley rats, Int. J. Toxicol., 24, 111, 10.1080/10915810590936382 · DOI
- Holmes, 2002, Chemometric contributions to the evolution of metabonomics: mathematical solutions to characterising and interpreting complex biological NMR spectra, Analyst, 127, 1549, 10.1039/b208254n · DOI
- Ishihara, 2006, A metabonomics study of the hepatotoxicants galactosamine, methylene dianiline and clofibrate in rats, Basic Clin. Pharmacol. Toxicol., 99, 251, 10.1111/j.1742-7843.2006.pto_455.x · DOI
- Jordan, 2007, NMR-based metabolomics approach to target biomarkers for human prostate cancer, Expert Rev. Proteomics, 4, 389, 10.1586/14789450.4.3.389 · DOI
- Keun, 2006, Metabonomic modeling of drug toxicity, Pharmacol. Ther., 109, 92, 10.1016/j.pharmthera.2005.06.008 · DOI
- Kleno, 2004, Combination of ‘omics’ data to investigate the mechanism(s) of hydrazine-induced hepatotoxicity in rats and to identify potential biomarkers, Biomarkers, 9, 116, 10.1080/13547500410001728408 · DOI
- Korenaga, 2007, Long-term effects of subcutaneously injected 2,3,7,8-tetrachlorodibenzo-p-dioxin on the liver of rhesus monkeys, Chemosphere, 67, S399, 10.1016/j.chemosphere.2006.05.135 · DOI
- Lewis, 2008, Application of metabolomics to cardiovascular biomarker and pathway discovery, J. Am. Coll. Cardiol., 52, 117, 10.1016/j.jacc.2008.03.043 · DOI
- Lindon, 2004, Metabonomics technologies and their applications in physiological monitoring, drug safety assessment and disease diagnosis, Biomarkers, 9, 1, 10.1080/13547500410001668379 · DOI
- Ma, 2009, Endocrine disruptors in female reproductive tract development and carcinogenesis, Trends Endocrinol. Metab., 20, 357, 10.1016/j.tem.2009.03.009 · DOI
- Marty-Teysset, 1996, Proton motive force generation by citrolactic fermentation in Leuconostoc mesenteroides, J. Bacteriol., 178, 2178, 10.1128/jb.178.8.2178-2185.1996 · DOI
- Mortishire-Smith, 2004, Use of metabonomics to identify impaired fatty acid metabolism as the mechanism of a drug-induced toxicity, Chem. Res. Toxicol., 17, 165, 10.1021/tx034123j · DOI
- Nagayama, 2007, Immunologic effects of perinatal exposure to dioxins, PCBs and organochlorine pesticides in Japanese infants, Chemosphere, 67, 393, 10.1016/j.chemosphere.2006.05.134 · DOI
- Nicholson, 1999, ‘Metabonomics’: understanding the metabolic responses of living systems to pathophysiological stimuli via multivariate statistical analysis of biological NMR spectroscopic data, Xenobiotica, 29, 1181, 10.1080/004982599238047 · DOI
- Nicholson, 2002, Metabonomics: a platform for studying drug toxicity and gene function, Nat. Rev. Drug Discov., 1, 153, 10.1038/nrd728 · DOI
- Odunsi, 2005, Detection of epithelial ovarian cancer using 1H-NMR-based metabonomics, Int. J. Cancer, 113, 782, 10.1002/ijc.20651 · DOI
- Schoonen, 2007, Sensitivity of 1H NMR analysis of rat urine in relation to toxicometabonomics. Part I: dose-dependent toxic effects of bromobenzene and paracetamol, Toxicol. Sci., 98, 271, 10.1093/toxsci/kfm076 · DOI
- Serkova, 2007, NMR-based metabolomics: translational application and treatment of cancer, Curr. Opin. Mol. Ther., 9, 572
- Siculella, 2002, Starvation-induced posttranscriptional control of rat liver mitochondrial citrate carrier expression, Biochem. Biophys. Res. Commun., 299, 418, 10.1016/S0006-291X(02)02666-9 · DOI
- Sprague, 2004, Species and tissue differences in the toxicity of 3-butene-1, 2-diol in male Sprague-Dawley rats and B6C3F1 mice, Toxicol. Sci., 80, 3, 10.1093/toxsci/kfh156 · DOI
- Tiziani, 2009, Early stage diagnosis of oral cancer using 1H NMR-based metabolomics, Neoplasia, 11, 269, 10.1593/neo.81396 · DOI
- Wade, 2002, Effects of subchronic exposure to a complex mixture of persistent contaminants in male rats: systemic, immune, and reproductive effects, Toxicol. Sci., 67, 131, 10.1093/toxsci/67.1.131 · DOI
- Walker, 2005, Dose-additive carcinogenicity of a defined mixture of “dioxin-like compounds”, Environ. Health Perspect., 113, 43, 10.1289/ehp.7351 · DOI
- Wang, 2006, Study of a novel indolin-2-ketone compound Z24 induced hepatotoxicity by NMR-spectroscopy-based metabonomics of rat urine, blood plasma, and liver extracts, Toxicol. Appl. Pharmacol., 215, 71, 10.1016/j.taap.2006.02.012 · DOI
- Waterfield, 1993, Investigations into the effects of various hepatotoxic compounds on urinary and liver taurine levels in rats, Arch. Toxicol., 67, 244, 10.1007/BF01974343 · DOI
- Webb-Robertson, 2005, A study of spectral integration and normalization in NMR-based metabonomic analyses, J. Pharm. Biomed. Anal., 39, 830, 10.1016/j.jpba.2005.05.012 · DOI
- Wu, 2005, Comparison of metabolic profiles from serum from hepatotoxin-treated rats by nuclear-magnetic-resonance -spectroscopy-based metabonomic analysis, Anal. Biochem., 340, 99, 10.1016/j.ab.2005.01.057 · DOI
- Yavuz, 2005, Uremic toxins: a new focus on an old subject, Semin. Dial., 18, 203, 10.1111/j.1525-139X.2005.18313.x · DOI
- Yokoyama, 2005, Evolution of intrahepatic carbon, nitrogen, and energy metabolism in a d-galactosamine-induced rat liver failure model, Metab. Eng., 7, 88, 10.1016/j.ymben.2004.09.003 · DOI
Cited by
Sorted by citations
Andújar-Vera, F., Alés-Palmer, M. L., Muñoz-de-Rueda, P., Iglesias-Baena, I., & Ocete-Hita, E. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241713562 · Cited by 10
Metadata
- Authors
- Lu, C., Wang, Y., Sheng, Z., Liu, G., Fu, Z., Zhao, J., Zhao, J., Yan, X., Zhu, B., & Peng, S.
- Venue
- Toxicology and Applied Pharmacology
- Publisher
- Elsevier BV
- Published
- 2010-11
- Volume
- 248
- Issue
- 3
- Pages
- 178-184
- ISSN
- 0041-008X
- Cited by
- 61
- References
- 1
- Language
- en
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review