Bulawska Natalia, Sosnowska Anita, Kowalska Dominika, Stępnik Maciej, Puzyn Tomasz
QSAR Lab, Ul. Trzy Lipy 3, Gdańsk, Poland; University of Gdansk, Faculty of Chemistry, Wita Stwosza 63, 80-308, Gdansk, Poland.
QSAR Lab, Ul. Trzy Lipy 3, Gdańsk, Poland.
Chemosphere. 2025 Feb;370:143967. doi: 10.1016/j.chemosphere.2024.143967. Epub 2024 Dec 20.
The objective of the subsequent study was to examine the probability of PFAS (per- and polyfluorinated alkyl substances) binding to various NHRs (nuclear hormone receptors) and to identify their structural features that contribute most to the binding score (BS). We evaluated the BS for PFAS in relation to 7 selected NHRs - 4 with additional antagonist forms (Retinoid X receptor alpha - RXRα, Liver X receptor alpha - LXRα, Liver X receptor beta - LXRβ, Estrogen receptor alpha - ERα, Estrogen receptor alpha antagonist - anti-ERα, Estrogen receptor beta - ERβ, Estrogen receptor beta antagonist - anti-ERβ, Glucocorticoid receptor - GR, Glucocorticoid receptor antagonist - anti-GR, Androgen receptor - AR, Androgen receptor antagonist - anti-AR). We based our study on the results of molecular docking, which we used to develop MLR-QSAR (Multiple Linear Regression - Quantitative Structure-Activity Relationship) models. The models we developed allowed us to predict the BS for an extensive set of PFAS compounds from the NORMAN database (more than 4000) - virtual screening. The probability of PFAS binding to selected receptors was determined by structural features such as particle size, branching, and fluorine content. These variables were also identified in the literature reports of experimental studies as the most important for this group of compounds. The research focused on receptors from the terpenoid group. The RXRα, LXRα and β, GR, and anti-GR receptors were shown to be the group less likely to be affected by PFAS. Sex hormones such as AR, anti-AR, ERα and ERβ with their antagonist forms are the most affected.
后续研究的目的是检测全氟和多氟烷基物质(PFAS)与各种核激素受体(NHR)结合的可能性,并确定对结合分数(BS)贡献最大的结构特征。我们评估了PFAS与7种选定NHR的结合分数,其中4种有额外的拮抗剂形式(视黄酸X受体α - RXRα、肝脏X受体α - LXRα、肝脏X受体β - LXRβ、雌激素受体α - ERα、雌激素受体α拮抗剂 - anti-ERα、雌激素受体β - ERβ、雌激素受体β拮抗剂 - anti-ERβ、糖皮质激素受体 - GR、糖皮质激素受体拮抗剂 - anti-GR、雄激素受体 - AR、雄激素受体拮抗剂 - anti-AR)。我们的研究基于分子对接的结果,并用其开发多元线性回归-定量构效关系(MLR-QSAR)模型。我们开发的模型使我们能够从NORMAN数据库(超过4000种)中预测大量PFAS化合物的结合分数——虚拟筛选。PFAS与选定受体结合的可能性由颗粒大小、支链和氟含量等结构特征决定。这些变量在实验研究的文献报告中也被确定为对这类化合物最重要的因素。该研究聚焦于萜类受体。结果表明,RXRα、LXRα和β、GR以及anti-GR受体受PFAS影响的可能性较小。诸如AR、anti-AR、ERα和ERβ及其拮抗剂形式的性激素受影响最大。