Literature DB >> 18662755

Prediction of the health effects of polychlorinated biphenyls (PCBs) and their metabolites using quantitative structure-activity relationship (QSAR).

P Ruiz1, O Faroon, C J Moudgal, H Hansen, C T De Rosa, M Mumtaz.   

Abstract

Polychlorinated biphenyls (PCBs) are a group of 209 persistent environmental contaminants that are slightly different but structurally related. PCBs are known to induce a variety of health effects and often have been toxicologically tested as complex commercial mixtures (Aroclors) but environmental exposure occurs separately to a small number of specific congeners. Recently, the Third National Report on Human Exposures to Environmental Chemicals, an assessment of exposure data of the National Health and Nutrition Examination Survey (NHANES), identified 35 individual PCB congeners in the U.S. population. These types of findings necessitate the toxicity evaluation of individual congeners but adequate toxicity data for most individual PCB congeners are not available. Due to this, a quantitative structure-activity relationship (QSAR) approach was used to assess the potential mutagenesis and carcinogenesis of individual congeners and their possible metabolites. The predictions were analyzed to define the underlying generalizations between the parent PCBs, their metabolites, and some important toxicological endpoints. This analysis reveals that (1) mono and di-chlorinated PCBs and their metabolites can be potential mutagens; (2) PCB benzoquinone metabolites could be carcinogenic but the weight of evidence is poor. These results support the hypothesis that environmental exposure to some PCBs and/or their metabolites could produce mutagenicity and/or carcinogenicity. Hence, these data should be considered as priority toxicological testing data needs. As with all computational toxicology analytical findings, these conclusions must yield to empirical data as they become available.

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Year:  2008        PMID: 18662755     DOI: 10.1016/j.toxlet.2008.06.870

Source DB:  PubMed          Journal:  Toxicol Lett        ISSN: 0378-4274            Impact factor:   4.372


  14 in total

Review 1.  Joint toxicity of alkoxyethanol mixtures: contribution of in silico applications.

Authors:  H R Pohl; P Ruiz; F Scinicariello; M M Mumtaz
Journal:  Regul Toxicol Pharmacol       Date:  2012-06-28       Impact factor: 3.271

2.  Human Serum from Urban and Rural Adolescents and Their Mothers Shows Exposure to Polychlorinated Biphenyls Not Found in Commercial Mixtures.

Authors:  Wen Xin Koh; Keri C Hornbuckle; Peter S Thorne
Journal:  Environ Sci Technol       Date:  2015-06-18       Impact factor: 9.028

3.  Sources and toxicities of phenolic polychlorinated biphenyls (OH-PCBs).

Authors:  Kiran Dhakal; Gopi S Gadupudi; Hans-Joachim Lehmler; Gabriele Ludewig; Michael W Duffel; Larry W Robertson
Journal:  Environ Sci Pollut Res Int       Date:  2017-07-25       Impact factor: 4.223

4.  Development, validation, and use of quantitative structure-activity relationship models of 5-hydroxytryptamine (2B) receptor ligands to identify novel receptor binders and putative valvulopathic compounds among common drugs.

Authors:  Rima Hajjo; Christopher M Grulke; Alexander Golbraikh; Vincent Setola; Xi-Ping Huang; Bryan L Roth; Alexander Tropsha
Journal:  J Med Chem       Date:  2010-11-11       Impact factor: 7.446

5.  In Silico Approaches In Carcinogenicity Hazard Assessment: Current Status and Future Needs.

Authors:  Raymond R Tice; Arianna Bassan; Alexander Amberg; Lennart T Anger; Marc A Beal; Phillip Bellion; Romualdo Benigni; Jeffrey Birmingham; Alessandro Brigo; Frank Bringezu; Lidia Ceriani; Ian Crooks; Kevin Cross; Rosalie Elespuru; David M Faulkner; Marie C Fortin; Paul Fowler; Markus Frericks; Helga H J Gerets; Gloria D Jahnke; David R Jones; Naomi L Kruhlak; Elena Lo Piparo; Juan Lopez-Belmonte; Amarjit Luniwal; Alice Luu; Federica Madia; Serena Manganelli; Balasubramanian Manickam; Jordi Mestres; Amy L Mihalchik-Burhans; Louise Neilson; Arun Pandiri; Manuela Pavan; Cynthia V Rider; John P Rooney; Alejandra Trejo-Martin; Karen H Watanabe-Sailor; Angela T White; David Woolley; Glenn J Myatt
Journal:  Comput Toxicol       Date:  2021-09-23

6.  Integrating data gap filling techniques: A case study predicting TEFs for neurotoxicity TEQs to facilitate the hazard assessment of polychlorinated biphenyls.

Authors:  Prachi Pradeep; Laura M Carlson; Richard Judson; Geniece M Lehmann; Grace Patlewicz
Journal:  Regul Toxicol Pharmacol       Date:  2018-10-22       Impact factor: 3.271

7.  Meta-heuristics on quantitative structure-activity relationships: study on polychlorinated biphenyls.

Authors:  Lorentz Jäntschi; Sorana D Bolboacă; Radu E Sestraş
Journal:  J Mol Model       Date:  2009-07-17       Impact factor: 1.810

8.  A novel quantitative structure-activity relationship model for prediction of biomagnification factor of some organochlorine pollutants.

Authors:  Mohammad Hossein Fatemi; Elham Baher
Journal:  Mol Divers       Date:  2009-02-14       Impact factor: 2.943

9.  Cell death mechanisms in GT1-7 GnRH cells exposed to polychlorinated biphenyls PCB74, PCB118, and PCB153.

Authors:  Sarah M Dickerson; Esperanza Guevara; Michael J Woller; Andrea C Gore
Journal:  Toxicol Appl Pharmacol       Date:  2009-04-09       Impact factor: 4.219

10.  ISDD: A computational model of particle sedimentation, diffusion and target cell dosimetry for in vitro toxicity studies.

Authors:  Paul M Hinderliter; Kevin R Minard; Galya Orr; William B Chrisler; Brian D Thrall; Joel G Pounds; Justin G Teeguarden
Journal:  Part Fibre Toxicol       Date:  2010-11-30       Impact factor: 9.400

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