Abstract
Background: Glutathione transferases (GSTs) are a family of Phase II detoxification enzymes that have been shown to be involved in the development of multi-drug resistance (MDR) mechanism toward chemotherapeutic agents. GST inhibitors have, therefore, emerged as promising chemosensitizers to manage and reverse MDR. Colchicine (COL) is a classical antimitotic, tubulin-binding agent (TBA) which is being explored as anticancer drug.
Methods: In the present work, the interaction of COL and its derivative 2,3-didemethylcolchicine (2,3-DDCOL) with human glutathione transferases (hGSTA1-1, hGSTP1-1, hGSTM1-1) was investigated by inhibition analysis, molecular modelling and molecular dynamics simulations.
Results: The results showed that both compounds bind reversibly to human GSTs and behave as potent inhibitors. hGSTA1-1 was the most sensitive enzyme to inhibition by COL with IC50 22 μΜ. Molecular modelling predicted that COL overlaps with both the hydrophobic (H-site) and glutathione binding site (G-site) and polar interactions appear to be the driving force for its positioning and recognition at the binding site. The interaction of COL with other members of GST family (hGSTA2-2, hGSTM3-3, hGSTM3-2) was also investigated with similar results.
Conclusion: The results of the present study might be useful in future drug design and development efforts towards human GSTs.
Keywords: Cancer, colchicine, glutathione transferase, multi-drug resistance, Phase II detoxification enzymes, antimitotic.
[http://dx.doi.org/10.1038/bjc.2014.386] [PMID: 25010864]
[http://dx.doi.org/10.1016/j.bcp.2011.11.016] [PMID: 22138445]
[http://dx.doi.org/10.3389/fphar.2014.00181] [PMID: 25157234]
[http://dx.doi.org/10.1371/journal.pone.0056337] [PMID: 23460799]
[http://dx.doi.org/10.1038/s41389-017-0025-3] [PMID: 29362397]
[http://dx.doi.org/10.1021/bi300559m] [PMID: 22920299]
[http://dx.doi.org/10.1038/sj.onc.1206940] [PMID: 14576844]
[http://dx.doi.org/10.1089/ars.2012.4640] [PMID: 22540427]
[http://dx.doi.org/10.18632/oncotarget.24796] [PMID: 29774096]
[http://dx.doi.org/10.1016/j.abb.2010.05.012] [PMID: 20494652]
[http://dx.doi.org/10.1021/ol902298s] [PMID: 19961147]
[http://dx.doi.org/10.1111/cbdd.13011] [PMID: 28440951]
[http://dx.doi.org/10.1002/bip.22844] [PMID: 27037874]
[http://dx.doi.org/10.1111/cbdd.12574] [PMID: 25891019]
[http://dx.doi.org/10.1016/j.bmc.2014.06.007] [PMID: 25002233]
[http://dx.doi.org/10.2174/1389201019666181029103538] [PMID: 30370843]
[http://dx.doi.org/10.2174/1389201020666190119142331] [PMID: 30659535]
[http://dx.doi.org/10.1155/2019/3150145] [PMID: 31281572]
[PMID: 30431119]
[http://dx.doi.org/10.1074/jbc.M113.476135] [PMID: 23828197]
[http://dx.doi.org/10.1002/cmdc.201400010] [PMID: 24677708]
[http://dx.doi.org/10.1006/jmbi.1999.3029] [PMID: 10452896]
[PMID: 28503938]
[http://dx.doi.org/10.1016/j.ejmech.2016.11.034] [PMID: 27914365]
[http://dx.doi.org/10.1016/j.molcatb.2012.04.022]
[http://dx.doi.org/10.1080/07388551.2017.1303804] [PMID: 28436240]
[http://dx.doi.org/10.1021/jm00147a014] [PMID: 4032423]
[http://dx.doi.org/10.1007/s002800000160] [PMID: 11052628]
[http://dx.doi.org/10.1002/elsc.201000207]
[http://dx.doi.org/10.1039/C5RA26608D]
[PMID: 8203288]
[http://dx.doi.org/10.1016/0003-2697(76)90527-3] [PMID: 942051]
[http://dx.doi.org/10.1093/bioinformatics/bts637] [PMID: 23104887]
[http://dx.doi.org/10.7717/peerj.725] [PMID: 25648563]
[http://dx.doi.org/10.3390/ijms19123785] [PMID: 30487385]
[http://dx.doi.org/10.1007/s10930-019-09834-7] [PMID: 31004256]
[http://dx.doi.org/10.1124/mol.106.025288] [PMID: 16717136]
[http://dx.doi.org/10.7314/APJCP.2014.15.20.8631] [PMID: 25374180]
[http://dx.doi.org/10.3892/ol.2018.8608] [PMID: 29928434]
[http://dx.doi.org/10.2174/1871520616666160219161921] [PMID: 26899186]
[http://dx.doi.org/10.1124/mol.65.4.897] [PMID: 15044619]
[http://dx.doi.org/10.1002/path.4021] [PMID: 22430872]
[http://dx.doi.org/10.1200/JCO.2008.18.5744]
[http://dx.doi.org/10.1007/s10549-018-4897-5] [PMID: 30054830]