| Literature DB >> 33168787 |
Elisabet Cuyàs1,2, Juan Gumuzio3, Jesús Lozano-Sánchez4,5, Antonio Segura-Carretero4,6, Sara Verdura1,2, Joaquim Bosch-Barrera2,7,8, Begoña Martin-Castillo2,9, Alfons Nonell-Canals10,11, Amadeu Llebaria12, Silvia Cabello13, Carme Serra12,13, Melchor Sanchez-Martinez10,14, Ángel G Martin3, Javier A Menendez1,2.
Abstract
The extra virgin olive oil (EVOO) dihydroxy-phenol oleacein is a natural inhibitor of multiple metabolic and epigenetic enzymes capable of suppressing the functional traits of cancer stem cells (CSC). Here, we used a natural product-inspired drug discovery approach to identify new compounds that phenotypically mimic the anti-CSC activity of oleacein. We coupled 3D quantitative structure-activity relationship-based virtual profiling with phenotypic analysis using 3D tumorsphere formation as a gold standard for assessing the presence of CSC. Among the top 20 computationally-predicted oleacein mimetics, four fulfilled the phenotypic endpoint of specifically suppressing the tumorsphere-initiating capacity of CSC, in the absence of significant cytotoxicity against differentiated cancer cells growing in 2D cultures in the same low micromolar concentration range. Of these, 3,4-dihydrophenetyl butyrate -a lipophilic ester conjugate of the hydroxytyrosol moiety of oleacein- and (E)-N-allyl-2-((5-nitrofuran-2-yl)methylene)hydrazinecarbothioamide) -an inhibitor of Trypanosoma cruzi triosephosphate isomerase- were also highly effective at significantly reducing the proportion of aldehyde dehydrogenase (ALDH)-positive CSC-like proliferating cells. Preservation of the mTOR/DNMT binding mode of oleacein was dispensable for suppression of the ALDH+-CSC functional phenotype in hydroxytyrosol-unrelated mimetics. The anti-CSC chemistry of complex EVOO phenols such as oleacein can be phenocopied through the use of mimetics capturing its physico-chemical properties.Entities:
Keywords: DNMT; epigenetics; mTOR; metabolism; olive oil
Mesh:
Substances:
Year: 2020 PMID: 33168787 PMCID: PMC7695371 DOI: 10.18632/aging.202154
Source DB: PubMed Journal: Aging (Albany NY) ISSN: 1945-4589 Impact factor: 5.682
Figure 1Computer-assisted discovery of oleacein biomimetics with anti-CSC activity. Schematic illustration of the computational framework coupled to laboratory-based phenotypic testing. The values in parentheses are similarity scores calculated with respect to parental oleacein.
MM/GBSA-based binding energy rescoring calculations over MD simulations of computationally-predicted oleacein mimetics.
| -26.8226 / -36.9331 | -30.567 / -36.5163 | ||
| -38.7014 / -27.361 | -38.2609 / -36.6319 | ||
| -32.4070 / -40.3344 | -36.4821 / -43.6863 | ||
| -30.5493 / -25.0387 | -33.4134 / -25.8227 | ||
| -29.2106 / -26.6329 | -33.3421 / -33.9773 | ||
| -27.4436 / -19.6725 | -32.8788 / -28.1508 | ||
| -27.3710 / -44.6454 | -31.7196 / -32.3981 | ||
| -27.2624 / -17.1961 | -28.4676 / -27.0541 | ||
| -25.7896 / -24.6272 | -27.5899 / -29.3600 | ||
| -25.0102 / -33.5462 | -26.6488 / -29.3269 | ||
| -24.3303 / -17.8085 | -26.0912 / -26.2952 | ||
| -24.1435 / -19.439 | -25.7134 / -35.3592 | ||
| -22.9663 / -21.0309 | -24.5175 / -32.1555 | ||
| -20.2999 / -31.6794 | -24.3167 / -21.7283 | ||
| -19.8235 / -27.2639 | -24.2025 / -24.4205 | ||
| -19.6392 / -21.2089 | -21.6215 / -22.9832 | ||
| -18.4177 / -34.4392 | -17.8140 / -21.8923 | ||
| -18.2272 / -29.4140 | -16.1264 / -20.6555 | ||
| -17.4413 / -24.7585 | -15.4957 / -19.6201 | ||
| -16.6468 / -21.2853 | -12.1247 / -30.3770 | ||
| -16.1321 / -21.4634 | -11.8887 / -31.0757 |
Figure 2Binding modes of oleacein mimetics to mTOR. Graphical representation of the binding modes of the computationally-predicted oleacein mimetics to the catalytic cavity of mTOR. The black, red, and purple arrows indicate the location of the aromatic rings in the binding modes #1, #2, and #3, respectively. Right panels. Graphical representation of the binding modes of parental oleacein and selected oleacein mimetics with anti-CSC activity (Figure 4, 5) to the catalytic cavity of mTOR.
Figure 4Phenotypic screening of the anti-CSC activity of oleacein mimetics (I). Left. Comparative analysis of IC50 values of the computationally-predicted oleacein mimetics in 2D monolayer cultures and 3D mammosphere systems. With 10 μmol/L as a cutoff, 4/16 compounds tested were more potent in 3D than in 2D and were selected as anti-CSC candidates; 1/16 compounds tested was equally potent in 3D and in 2D and was designated as cytotoxic. Right. CHEMBL structures of the computationally-predicted oleacein mimetics with anti-CSC (blue box) and cytotoxic (red box) activity.
Figure 5Phenotypic screening of the anti-CSC activity of oleacein mimetics (II). Top panels. MTT reduction-based measurement of cell viability is expressed as percentage uptake (OD570) relative to untreated controls (=100% cell viability). Bottom panels. Representative microscope images (×2.5 magnification) of mammospheres formed by MDA-MB-436 cells growing in sphere medium for 6 days in the absence or presence of graded concentrations of oleacein mimetics. The number of mammospheres (>100 μm diameter) is expressed as means (columns) ± SD (bars). *P < 0.05 and **P < 0.005, statistically significant differences from the untreated (control) group.
Figure 3Binding modes of oleacein mimetics to DNMT. Left panels. Graphical representation of the binding modes of the computationally-predicted oleacein mimetics to the catalytic site of DNMT. The black and red arrows indicate the location of the aromatic rings in the binding modes #1 and #2, respectively. Right panels. Graphical representation of the binding modes of parental oleacein and selected oleacein mimetics with anti-CSC activity (Figures 4 and 5) to the catalytic cavity of DNMT.
Figure 6Phenotypic screening of the anti-CSC activity of oleacein mimetics (III). (A) Changes in the number of ALDH+ cells in BT-474 and MDA-MB-436 populations cultured in the absence or presence of 11.1 μmol/L of CHEMBL1950046 and CHEMBL1632504. The results are expressed as percentages means (columns) ± SD (bars). *P < 0.05 and **P < 0.005, statistically significant differences from the untreated (control) group. (B) Left. A dose-response inhibition curve of ATP-dependent activity of mTOR kinase was created by plotting FRET signal of the Z´-LYTE Kinase assay as the function of CHEMBL1950046 and CHEMBL1632504 concentrations. Right. Dose-response curves of SAM-dependent methylation activity of DNMT3A were created by plotting radioisotope signals of the HotSpotSM assay as the function of CHEMBL1950046 and CHEMBL1632504 concentrations. (C) Molecular scaffolds of oleacein.