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Int J Environ Res Public Health 2016 Oct;13(10):958

Consensus modeling for prediction of estrogenic activity of ingredients commonly used in sunscreen products.

Hong H, Rua D, Sakkiah S, Selvaraj C, Ge W, Tong W

Abstract

Sunscreen products are predominantly regulated as over-the-counter (OTC) drugs by the US FDA. The "active" ingredients function as ultraviolet filters. Once a sunscreen product is generally recognized as safe and effective (GRASE) via an OTC drug review process, new formulations using these ingredients do not require FDA review and approval, however, the majority of ingredients have never been tested to uncover any potential endocrine activity and their ability to interact with the estrogen receptor (ER) is unknown, despite the fact that this is a very extensively studied target related to endocrine activity. Consequently, we have developed an in silico model to prioritize single ingredient estrogen receptor activity for use when actual animal data are inadequate, equivocal, or absent. It relies on consensus modeling to qualitatively and quantitatively predict ER binding activity. As proof of concept, the model was applied to ingredients commonly used in sunscreen products worldwide and a few reference chemicals. Of the 32 chemicals with unknown ER binding activity that were evaluated, seven were predicted to be active estrogenic compounds. Five of the seven were confirmed by the published data. Further experimental data is needed to confirm the other two predictions.


Category: Journal Article
PubMed ID: #27690075 DOI: 10.3390/ijerph13100958
PubMed Central ID: #PMC5086697
Includes FDA Authors from Scientific Area(s): Toxicological Research Drugs
Entry Created: 2016-10-02 Entry Last Modified: 2017-01-07
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