Structural Insights into Neonicotinoids and N-Unsubstituted Metabolites on Human nAChRs by Molecular Docking, Dynamics Simulations, and Calcium Imaging

01.09.2023

Complex toxicological endpoints and their adequate assessment are major challenges in the field of predictive toxicology. Moreover, this field of research is currently facing a paradigm shift, leading towards alternatives to classical animal testing strategies. Next-generation risk assessments (NGRAs) are a new way to assess the assurance of the safety of chemicals and drugs by applying modern, human-centered approaches.

Grillberger, K.; Cöllen, E.; Trivisani, C.I.; Blum, J.; Leist, M.; Ecker, G.F. Structural Insights into Neonicotinoids and N-Unsubstituted Metabolites on Human nAChRs by Molecular Docking, Dynamics Simulations, and Calcium Imaging. Int. J. Mol. Sci. 2023, 24, 13170.

DOI

https://doi.org/10.3390/ijms241713170

Abstract

Neonicotinoid pesticides were initially designed in order to achieve species selectivity on insect nicotinic acetylcholine receptors (nAChRs). However, concerns arose when agonistic effects were also detected in human cells expressing nAChRs. In the context of next-generation risk assessments (NGRAs), new approach methods (NAMs) should replace animal testing where appropriate. Herein, we present a combination of in silico and in vitro methodologies that are used to investigate the potentially toxic effects of neonicotinoids and nicotinoid metabolites on human neurons. First, an ensemble docking study was conducted on the nAChR isoforms α7 and α3β4 to assess potential crucial molecular initiating event (MIE) interactions. Representative docking poses were further refined using molecular dynamics (MD) simulations and binding energy calculations using implicit solvent models. Finally, calcium imaging on LUHMES neurons confirmed a key event (KE) downstream of the MIE. This method was also used to confirm the predicted agonistic effect of the metabolite descyano-thiacloprid (DCNT).

Funding

This work was funded by the European Union’s Horizon 2020 research and innovation program under grant agreement No. 964537 (RiskHunt3R), which is part of the ASPIS cluster.

Rights & permissions

This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

© 2023 by the authors. Licensee MDPI, Basel, Switzerland.

Keywords

neonicotinoids; pesticides; metabolites; nAChR; docking; molecular dynamics simulations; calcium imaging

 

 

© 2023 by the authors. Licensee MDPI, Basel, Switzerland.

 More News

Open Access
 

Are you curious what is known about SLCs? And how they are related? We are enthusiastic about our manuscript presenting the data- and...

News
 

Tarik Ćerimagić successfully defended his master thesis: "A Multi-Task Deep Neural Network Approach for Data Imputation of SLC Transporter...

News
 

On July 10th, 2024 our colleague Aljoša successfully defended his PhD thesis: "Machine Learning Approaches for Off-Target and Bioactivity...