Abstract

Neferine, a bisbenzylisoquinoline alkaloid isolated from the green seed embryos of Lotus (Nelumbo nucifera Gaertn), has been previously shown to have various anti-cancer effects. In the present study, we evaluated the effect of neferine in terms of P-glycoprotein (P-gp) inhibition via in vitro cytotoxicity assays, R123 uptake assays in drug-resistant cancer cells, in silico molecular docking analysis on human P-gp and in silico absorption, distribution, metabolism, and excretion (ADME), quantitative structure activity relationships (QSAR) and toxicity analyses. Lipinski rule of five were mainly considered for the ADME evaluation and the preset descriptors including number of hydrogen bond donor, acceptor, hERG IC50, logp, logD were considered for the QSAR analyses. Neferine revealed higher toxicity toward paclitaxel- and doxorubicin-resistant breast, lung or colon cancer cells, implying collateral sensitivity of these cells toward neferine. Increased R123 uptake was observed in a comparable manner to the control P-gp inhibitor, verapamil. Molecular docking analyses revealed that neferine still interacts with P-gp, even if R123 was pre-bound. Bioinformatical ADME and toxicity analyses revealed that neferine possesses the druggability parameters with no predicted toxicity. In conclusion, neferine may allocate the P-gp drug-binding pocket and prevent R123 binding in agreement with P-gp inhibition experiments, where neferine increased R123 uptake.

Highlights

  • The main characteristics of cancer are uncontrolled growth and metastasis of mutated cells leading to the death of patients (Stratton et al, 2009)

  • We evaluated the effect of neferine in terms of P-gp inhibition via in silico molecular docking, quantitative structure activity relationships (QSAR) and in vitro cytotoxicity assays and P-gp substrate uptake assays in drug-resistant cancer cells

  • The concentration to inhibit cellular proliferation by 50% (IC50) values for the resistant sub-lines were even lower than those of sensitive cell lines, a phenomenon which is known as collateral sensitivity (Saeed et al, 2013)

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Summary

Introduction

The main characteristics of cancer are uncontrolled growth and metastasis of mutated cells leading to the death of patients (Stratton et al, 2009). The World Health Organization (WHO) estimated around 8.2 million deaths and 14.1 million newly diagnosed cancer cases in 2012 worldwide. 600,920 cancer deaths are projected to occur in the United States in Siegel et al (2017). Underdeveloped countries had the largest incidence of new cases (8.0 million) and the highest death rates (5.3 million). Lifestyle risk factors such as smoking, obesity and physical inactivity will probably cause a further increase in cancer cases in the future (Jemal et al, 2011)

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