4.2 Article

In silico molecular interaction of bisphenol analogues with human nuclear receptors reveals their stronger affinity vs. classical bisphenol A

Journal

TOXICOLOGY MECHANISMS AND METHODS
Volume 28, Issue 9, Pages 660-669

Publisher

TAYLOR & FRANCIS LTD
DOI: 10.1080/15376516.2018.1491663

Keywords

Endocrine disrupting chemicals; bisphenol analogues; nuclear receptors; risk characterization

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Background: Bisphenol A (BPA) is known for endocrine disrupting activity. In order to replace BPA, a number of bisphenol analogues have been designed. However, their activity profile is poorly described and little information exists about their endocrine disrupting potential and interactions with nuclear receptors. An understanding of such interaction may unravel mechanism of their molecular action and provide valuable inputs for risk assessment. BPA binds and activates peroxisome proliferator-activated receptors (PPARs) and retinoid X receptors (RXRs) which act as transcription factors and regulate genes involved in glucose, lipid, and cholesterol metabolism and adipogenesis. Methods: We studied binding efficiency of 18 bisphenol analogues and BPA with human PPARs and RXRs. Using Maestro Schrodinger 9.4, docking scores of bisphenols were compared with the known endogenous and exogenous ligands of hPPARs and hRXRs. Results: BPA showed good binding efficiency. Several analogues also showed higher binding efficiency than BPA. BPPH which has high tendency to be absorbed in tissues showed the strongest binding with hPPAR alpha, hPPAR beta, hPPAR gamma, and hRXR alpha whereas two of the most toxic bisphenols, BPM and BPAF showed strongest binding with hRXR beta and hRXR gamma. Conclusions: Some of the bisphenol analogues showed a stronger binding affinity with PPAR and RXR compared to BPA implying that BPA substitutes may not be fully safe and chemico-biological interactions indicate their toxic potential. These results may also serve to plan further studies for determining safety profile of bisphenol analogues and be helpful in risk characterization.

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