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Items: 1 to 20 of 124

1.

Metabolomics: a tool for early detection of toxicological effects and an opportunity for biology based grouping of chemicals-from QSAR to QBAR.

van Ravenzwaay B, Herold M, Kamp H, Kapp MD, Fabian E, Looser R, Krennrich G, Mellert W, Prokoudine A, Strauss V, Walk T, Wiemer J.

Mutat Res. 2012 Aug 15;746(2):144-50. doi: 10.1016/j.mrgentox.2012.01.006. Epub 2012 Jan 26.

PMID:
22305969
2.

The sensitivity of metabolomics versus classical regulatory toxicology from a NOAEL perspective.

van Ravenzwaay B, Montoya GA, Fabian E, Herold M, Krennrich G, Looser R, Mellert W, Peter E, Strauss V, Walk T, Kamp H.

Toxicol Lett. 2014 May 16;227(1):20-8. doi: 10.1016/j.toxlet.2014.03.004. Epub 2014 Mar 19.

PMID:
24657160
3.

Safety and nutritional assessment of GM plants and derived food and feed: the role of animal feeding trials.

EFSA GMO Panel Working Group on Animal Feeding Trials.

Food Chem Toxicol. 2008 Mar;46 Suppl 1:S2-70. doi: 10.1016/j.fct.2008.02.008. Epub 2008 Feb 13. Review.

PMID:
18328408
4.

Reproducibility and robustness of metabolome analysis in rat plasma of 28-day repeated dose toxicity studies.

Kamp H, Strauss V, Wiemer J, Leibold E, Walk T, Mellert W, Looser R, Prokoudine A, Fabian E, Krennrich G, Herold M, van Ravenzwaay B.

Toxicol Lett. 2012 Nov 30;215(2):143-9. doi: 10.1016/j.toxlet.2012.09.015. Epub 2012 Oct 24.

PMID:
23103988
5.

Application of in vivo metabolomics to preclinical/toxicological studies: case study on phenytoin-induced systemic toxicity.

Kamp H, Fabian E, Groeters S, Herold M, Krennrich G, Looser R, Mattes W, Mellert W, Prokoudine A, Ruiz-Noppinger P, Strauss V, Walk T, Wiemer J, van Ravenzwaay B.

Bioanalysis. 2012 Sep;4(18):2291-301. doi: 10.4155/bio.12.214. Review.

PMID:
23046269
6.

A research to develop a predicting system of mammalian subacute toxicity. I. Prediction of subacute toxicity using the biological parameters of acute toxicities.

Yamaguchi T, Nishimura H, Watanabe T, Saito S, Yabuki M, Shiba K, Isobe N, Kishida F, Kumano M, Shono F, Adachi H, Matsuo M.

Chemosphere. 1996 Mar;32(5):979-98.

PMID:
8867144
7.

Mechanistic analysis of metabolomics patterns in rat plasma during administration of direct thyroid hormone synthesis inhibitors or compounds increasing thyroid hormone clearance.

Montoya GA, Strauss V, Fabian E, Kamp H, Mellert W, Walk T, Looser R, Herold M, Krennrich G, Peter E, van Ravenzwaay B.

Toxicol Lett. 2014 Mar 3;225(2):240-51. doi: 10.1016/j.toxlet.2013.12.010. Epub 2013 Dec 24.

PMID:
24370789
8.

The use of metabolomics for the discovery of new biomarkers of effect.

van Ravenzwaay B, Cunha GC, Leibold E, Looser R, Mellert W, Prokoudine A, Walk T, Wiemer J.

Toxicol Lett. 2007 Jul 30;172(1-2):21-8. Epub 2007 May 25.

PMID:
17614222
9.

Nutritional impact on the plasma metabolome of rats.

Mellert W, Kapp M, Strauss V, Wiemer J, Kamp H, Walk T, Looser R, Prokoudine A, Fabian E, Krennrich G, Herold M, van Ravenzwaay B.

Toxicol Lett. 2011 Nov 30;207(2):173-81. doi: 10.1016/j.toxlet.2011.08.013. Epub 2011 Sep 3.

PMID:
21907771
10.

Comparative analysis of predictive models for nongenotoxic hepatocarcinogenicity using both toxicogenomics and quantitative structure-activity relationships.

Liu Z, Kelly R, Fang H, Ding D, Tong W.

Chem Res Toxicol. 2011 Jul 18;24(7):1062-70. doi: 10.1021/tx2000637. Epub 2011 Jun 20.

PMID:
21627106
11.

Substance-tailored testing strategies in toxicology: an in silico methodology based on QSAR modeling of toxicological thresholds and Monte Carlo simulations of toxicological testing.

Péry AR, Desmots S, Mombelli E.

Regul Toxicol Pharmacol. 2010 Feb;56(1):82-92. doi: 10.1016/j.yrtph.2009.09.009. Epub 2009 Sep 17.

12.

Prediction of rodent carcinogenic potential of naturally occurring chemicals in the human diet using high-throughput QSAR predictive modeling.

Valerio LG Jr, Arvidson KB, Chanderbhan RF, Contrera JF.

Toxicol Appl Pharmacol. 2007 Jul 1;222(1):1-16. Epub 2007 Mar 24.

PMID:
17482223
13.

Application of in vitro neurotoxicity testing for regulatory purposes: Symposium III summary and research needs.

Bal-Price AK, Suñol C, Weiss DG, van Vliet E, Westerink RH, Costa LG.

Neurotoxicology. 2008 May;29(3):520-31. doi: 10.1016/j.neuro.2008.02.008. Epub 2008 Feb 23.

PMID:
18417220
14.

Toxicogenomics concepts and applications to study hepatic effects of food additives and chemicals.

Stierum R, Heijne W, Kienhuis A, van Ommen B, Groten J.

Toxicol Appl Pharmacol. 2005 Sep 1;207(2 Suppl):179-88. Review.

PMID:
16139318
15.
16.
17.

The importance of molecular structures, endpoints' values, and predictivity parameters in QSAR research: QSAR analysis of a series of estrogen receptor binders.

Li J, Gramatica P.

Mol Divers. 2010 Nov;14(4):687-96. doi: 10.1007/s11030-009-9212-2. Epub 2009 Nov 17.

PMID:
19921452
18.

Creation of a digital slide and tissue microarray resource from a multi-institutional predictive toxicology study in the rat: an initial report from the PredTox group.

Mulrane L, Rexhepaj E, Smart V, Callanan JJ, Orhan D, Eldem T, Mally A, Schroeder S, Meyer K, Wendt M, O'Shea D, Gallagher WM.

Exp Toxicol Pathol. 2008 Aug;60(4-5):235-45. doi: 10.1016/j.etp.2007.12.004. Epub 2008 May 13.

PMID:
18479893
19.

Chemical structure of mutagens and carcinogens and the relationship with biological activity.

Benigni R.

J Exp Clin Cancer Res. 2004 Mar;23(1):5-8. Review.

PMID:
15149144
20.

QSAR approach for the selection of congeneric compounds with a similar toxicological mode of action.

Gramatica P, Vighi M, Consolaro F, Todeschini R, Finizio A, Faust M.

Chemosphere. 2001 Mar;42(8):873-83.

PMID:
11272909

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