Literature DB >> 23557136

Assessment of hydroxylated metabolites of polychlorinated biphenyls as potential xenoestrogens: a QSAR comparative analysis∗.

P Ruiz1, E Myshkin, P Quigley, O Faroon, J S Wheeler, M M Mumtaz, R J Brennan.   

Abstract

Alternative methods, including quantitative structure-activity relationships (QSAR), are being used increasingly when appropriate data for toxicity evaluation of chemicals are not available. Approximately 40 mono-hydroxylated polychlorinated biphenyls (OH-PCBs) have been identified in humans. They represent a health and environmental concern because some of them have been shown to have agonist or antagonist interactions with human hormone receptors. This could lead to modulation of steroid hormone receptor pathways and endocrine system disruption. We performed QSAR analyses using available estrogenic activity (human estrogen receptor ER alpha) data for 71 OH-PCBs. The modelling was performed using multiple molecular descriptors including electronic, molecular, constitutional, topological, and geometrical endpoints. Multiple linear regressions and recursive partitioning were used to best fit descriptors. The results show that the position of the hydroxyl substitution, polarizability, and meta adjacent un-substituted carbon pairs at the phenolic ring contribute towards greater estrogenic activity for these chemicals. These comparative QSAR models may be used for predictive toxicity, and identification of health consequences of PCB metabolites that lack empirical data. Such information will help prioritize such molecules for additional testing, guide future basic laboratory research studies, and help the health/risk assessment community understand the complex nature of chemical mixtures.

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Year:  2013        PMID: 23557136     DOI: 10.1080/1062936X.2013.781537

Source DB:  PubMed          Journal:  SAR QSAR Environ Res        ISSN: 1026-776X            Impact factor:   3.000


  5 in total

1.  Geometry optimization method versus predictive ability in QSPR modeling for ionic liquids.

Authors:  Anna Rybinska; Anita Sosnowska; Maciej Barycki; Tomasz Puzyn
Journal:  J Comput Aided Mol Des       Date:  2016-02-01       Impact factor: 3.686

2.  Integration of in silico methods and computational systems biology to explore endocrine-disrupting chemical binding with nuclear hormone receptors.

Authors:  P Ruiz; A Sack; M Wampole; S Bobst; M Vracko
Journal:  Chemosphere       Date:  2017-03-09       Impact factor: 7.086

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.  3D QSAR studies of hydroxylated polychlorinated biphenyls as potential xenoestrogens.

Authors:  Patricia Ruiz; Kundan Ingale; John S Wheeler; Moiz Mumtaz
Journal:  Chemosphere       Date:  2015-11-19       Impact factor: 7.086

5.  Green Tea Catechin, EGCG, Suppresses PCB 102-Induced Proliferation in Estrogen-Sensitive Breast Cancer Cells.

Authors:  Kimberly Mantzke Baker; Angela C Bauer
Journal:  Int J Breast Cancer       Date:  2015-12-13
  5 in total

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