|Year : 2021 | Volume
| Issue : 3 | Page : 236-241
In silico estrogen receptor alpha antagonist studies and toxicity prediction of Melia azedarach leaves bioactive ethyl acetate fraction
Martha Ervina1, Mohammad Rizki Fadhil Pratama2, Hadi Poerwono3, Juni Ekowati3, Retno Widyowati3, Katsuyoshi Matsunami4, Sukardiman3
1 Doctoral Program of Pharmaceutical Sciences, Faculty of Pharmacy, Universitas Airlangga; Department of Pharmaceutical Biology, Faculty of Pharmacy, Widya Mandala Catholic University, Surabaya, Indonesia
2 Doctoral Program of Pharmaceutical Sciences, Faculty of Pharmacy, Universitas Airlangga, Surabaya; Department of Pharmacy, Faculty of Health Sciences, Universitas Muhammadiyah Palangkaraya, Palangka Raya, Indonesia
3 Department of Pharmaceutical Sciences, Faculty of Pharmacy, Universitas Airlangga, Surabaya, Indonesia
4 Department of Pharmacognosy, Graduate School of Biomedical and Health Sciences, Hiroshima University, Higashihiroshima, Japan
|Date of Submission||19-Feb-2021|
|Date of Decision||03-Mar-2021|
|Date of Acceptance||21-Apr-2021|
|Date of Web Publication||16-Jul-2021|
Faculty of Pharmacy, Universitas Airlangga, Campus C Unair, Jl. Dr. Ir. H. Soekarno Mulyorejo, Surabaya 60115
Source of Support: None, Conflict of Interest: None
The estrogen hormone dependent accounts for a major cause in the incidence of women breast cancer. Thus, their receptor, especially the estrogen receptor α (ER-α), is becoming a target in endocrine treatment. These ligand-inducible nuclear functions are regulated by an array of phytochemical and synthetic compounds, such as 17 β-estradiol and tamoxifen (4-hydroxytamoxifen [4OHT]). The Chinaberry (Melia azedarach) leaves are known naturally for relieving internal and external diseases. Previous studies revealed the potency of Melia's ethanolic extract and ethyl acetate fractions as anticancer; furthermore, this study aimed to resolve possible ER-α antagonist's mechanism and safety from M. azedarach leaves ethyl acetate fraction contents. Melia's phytochemical content was analyzed with electrospray ionization liquid chromatography-mass spectrometry, while its ER-α antagonist's potency was investigated by in silico. The computational docking was used to 3ERT (a human ER-α-4OHT binding domain complex) with Autodock Vina and related programs. The results presented Energy binding (ΔG) of Melia's quercetin 3-O-(2'',6''-digalloyl)-β-D-galactopyranoside was similar to 4OHT, and lower than its agonist 17 β-estradiol. Furthermore, the toxicity prediction of these compounds were revealed safer than 4OHT. The Melia's leaves ethyl acetate fraction, therefore, is a potential pharmacological material for further studies.
Keywords: Estrogen receptor α, flavonoids, limonoids, Melia azedarach, steroids
|How to cite this article:|
Ervina M, Pratama MR, Poerwono H, Ekowati J, Widyowati R, Matsunami K, Sukardiman. In silico estrogen receptor alpha antagonist studies and toxicity prediction of Melia azedarach leaves bioactive ethyl acetate fraction. J Adv Pharm Technol Res 2021;12:236-41
|How to cite this URL:|
Ervina M, Pratama MR, Poerwono H, Ekowati J, Widyowati R, Matsunami K, Sukardiman. In silico estrogen receptor alpha antagonist studies and toxicity prediction of Melia azedarach leaves bioactive ethyl acetate fraction. J Adv Pharm Technol Res [serial online] 2021 [cited 2021 Sep 20];12:236-41. Available from: https://www.japtr.org/text.asp?2021/12/3/236/321506
| Introduction|| |
Estrogen, an ovarian steroid hormone, performs by binding to estrogen receptor (ER). The ER antagonists and inhibitors are the most targeted ligands and widely used in breast cancer endocrine therapies, including for ER-positive metastatic breast cancer patients. The ERs are ligand-inducible receptors, such as biosynthesized agonist 17 β-estradiol (EST); in addition to antagonist synthetic selective ER modulators, tamoxifen. The latter is often given as an adjuvant treatment for postmenopausal tumor for ER-α–positive individuals and has proved decreasing breast cancer relapse. The ER–tamoxifen complex inhibits the proliferation of the cancer cell, though accompanied with mild-to-severe side effects. Furthermore, many ER-positive patients develop intrinsic resistance to hormonal therapies, and this calls for superior alternative treatments.
The selective estrogen ligands were reported to be highly promising targets. These included some analog and phytoestrogen compounds, which bind ERs and exhibit estrogenic or antiestrogenic activities. Moreover, their antiproliferative properties could be useful for breast cancer therapies. Genistein isoflavones have similar structures as 17 β-estradiol (EST) [Figure 1], which may be responsible for the same active binding sites to ER, thereby producing estrogenic activity. The Eugenia aquea leaves dimethylchalcone derivate is reported to not only inhibit MCF-7 human breast cell proliferation but also yield apoptosis through poly-adenosine diphosphate ribose polymerase activations.
|Figure 1: Typical estrogen receptor alpha antagonist ligands (a) estrogen, (b) tamoxifen, (c) genistein, and (d) β-sitosterol|
Click here to view
Some in silico, semi-to-synthetic research studies have been reported on phytoconstituents in antiestrogen by, among others, modifying their structures to improve activities and selectivities or to reduce the side effects. Powers and Setzer presented the molecular docking of a wide variety of secondary estrogenic metabolites (e.g., flavonoids, isoflavonoids, phenolics, steroids, and triterpenoids) from dietary herbal supplements. They found the phenolics as the strongest to bind ER, while triterpenoids were the weakest among the metabolites.
Chinaberry, Melia azedarach, has been used for traditional medicine in some parts of Asia. Various in vitro to in vivo studies showed Melia leaves with ranges of activities. The Melia's leaves extract has the highest yield compared to other plant parts and classified as safe to use as IC50 >1000 μg/mL against Vero cells. Thus, some flavonol glycosides, steroids, and limonoids have been isolated from its extract. Moreover, previous researches resulted in highest antioxidant and cytotoxic activities of ethyl acetate fraction. The leaves had potency to some hormonal-dependent cell lines, such as breast cancer MCF7 and T47D., The wide uses of Melia leaves depend, among others, on understanding the possibility mechanisms of the leaves' secondary metabolites to bind with ER-α. Thus, the research will give a scientific base to traditionally uses of the leaves and supporting to further work on their safety to efficacy as breast cancer adjuvant/co-chemotherapy alternatives. The present study reports findings along these lines.
| Materials and Methods|| |
Extraction and liquid chromatography-mass spectrometry analysis of the extract
The extraction method and the liquid chromatography-mass spectrometry (LC-MS) analysis were followed as described by Ervina et al. The M. azedarach leaves extract was prepared with ethanol 95%, followed with n-hexane and ethyl acetate solvents fractionation. The ethyl acetate was purified with solid-phase extraction (Qasis® HLB solvents) and analyzed with gradient mobile phase step of water, ammonium formic, acetonitrile, and formic acid (0.1%) at 9.2 mL/min for 23 min on EI LC-MS system (Acquity UPLC®-H and Xevo G2-S QTof detector, Waters, Milford, USA), respectively. The chromatogram was processed with MassLynx 4.1 program and data in mass bank (Fiehnlab), Pubchem, or Chemspider.,,,,,,,
Preparation of ligands
The Melia's ligands [Table 1] were prepared with a computer as described in Pratama et al.,, The HyperChem 7.5 (Hypercube Inc.), OpenBabel 2.4.1 (OpenBabel.org.), and AutoDockTools 1.5.6 and UCSF Chimera 1.13.1 (University of California, San Francisco) program were used.
|Table 1: Liquid chromatography-mass spectrometry analysis of the Melia azedarach extract, their energy, original and reference ligands binding to 3ERT|
Click here to view
Preparation of receptor
The pdb format of human ER-α (3ERT) in complex with 4-hydroxytamoxifen (4OHT) as original ligand was extracted from the protein data bank., It has 1.90Å resolution and prepared further with AutoDockTools 1.5.6. The prework orientation was done to obtain the lowest RMSD value below 2Å in the grid box parameter.
Validation of docking process
The PyMOL 2.3.1 (Schrodinger LLC.) program was used for proofing the docking processes.
The docking was proceeded with Autodock Vina 1.1.2. and resulted free energies (ΔG in a.pdb). The highest ligand affinity was compared to the co-crystal ligand validation result. Another parameter was the similarities of amino acid residues and bonding type of their interactions. The Discovery Studio Visualizer v. 184.108.40.20687 was used to visualize them.
The toxicity prediction of the most potential substances
The SMILES format of the three most potential, quantified, and reference compounds were submitted to GUSAR servers.
| Results and Discussion|| |
As previously obtained, the LC-MS peaks spectra were analyzed and studied as listed in [Table 1]. Their higher percentage were steroids, phenolic glycosides, and limonoids, respectively. They were (2E)-6-(13,17-dihydroxy-7---methylhept-2-enoic acid (EDT) (40.80%), 12-hydroxyamoorastatin and its acetyl derivate (12HAM, 13.55%), 1-cinnamoyl-3-hydroxy-11-methoxymeliacarpinin (1CHM; 6.75%), toosendanin (TSN, 6.53%), flavonoid glycoside of quercetin 3-O-(2'',6''-digalloyl)-β-D-galactopyranoside (QOG, 3.27%) and (2R,3S,4S,5R,6S)-3,4-dihydroxy-6---methyl acetate (DTH, 3.71%) and Cyclopenta[c] pyran-4--oxy-methyl ester (CCG, 2.50%). Some of the predictive compounds had similar aglycone cores compared to the extracts, such as quercetin (Rt 4.80 min), limonoid TSN (Rt 11.72 min), 11-CHM (Rt 11.11 min), Meliarachin H (Rt 15.37 min), 12HAM-acetyl derivate (5.22%, 16.62 min), and steroid of EDT (Rt 19.15 min).
The crystallographic X-ray structure of ER-α complexed with agonist 4OHT. [Figure 2] shows similarities in the resolution to the reference parameters (RMSD 1.841–1.9 Å); R-value free and work were 0.262 and 0.229, respectively. The molecular docking of the tested ligands is presented in [Table 1]. The energy binding of QOG (−9.9 kcal/mol) was similar to its co-crystal ligand, 4OHT; while lower than its agonist EST (−9.9 and − 9.4 kcal/mol). The phenolic glycosides have a variety of ΔG results, such as 3-O-and 7-O-substituents. The QOG observed has a better potency to bind ER-α than its 7's (9.9 compared to 7.7). The potency of QOG was also better than Melia's steroid or limonoids. As highlighted above, the binding exothermic energy indicates a higher affinity of ligand binding to 3ERT active sites.
|Figure 2: The molecular structure of (a) 4-hydroxytamoxifen redocking, (b and c) 3ERT-4OHT binding interaction, (d and e) 3ERT-17β-estradiol (agonist) and (f and g) 3ERT-quercetin-3-o-digalloyl)-β-d-galactopyranoside|
Click here to view
The three dimensions of 4OHT structures [Figure 2]a show interactions to 3ERT with 22 bonds, which consist of hydrogen (H) bonds on 347-Thr and 525-Leu [Figure 2]b and [Figure 2]c. The rest bindings consist mostly of Van der Waals (VdW) forces, Alkyl/Pi-Alkyl (A/P) bonds, and unfavorable bump/donor-donor (Ubd) on 394-Arg. Meanwhile, the reference EST-3ERT complex interactions had 16 total bindings with 36.6% and 72.73% similarities on interactions and amino acid residues binding to its original ligand. They are hydrogen bonds (521-Gly and 524-His) [Figure 2]d and [Figure 2]e. This phenomenon was interesting since this bind was originally VdW bonds. There were also some changes from H to VdW bonds and to weaker A/P bonds and vice versa, while Ubd changed to VdW bond.
The potency of QOG had 17 total bindings with 40.91% and 18.18% similarities of amino acid residues and binding types [Figure 2]f and [Figure 2]g. Most of them were A/zA bonds. Interestingly, when compared to 4OHT, there were also converting type of binding from H to VdW (347-Thr), VdW to πδ (383-Trp), A/πA (343-Met and 384-Leu), from VdW to H (525-Met), and vice versa from π-alkyl to VdW. The disappearance of VdW bond was observed on many sites such as 353-Glu, 391-Leu, 404-Phe, 419-Glu, 420-Gly, 521-Gly, and 524-His; though some new bindings were on amino acid residues above 529. Moreover resulted, limonoids (1-CHM, TSN) had lesser % similarities, respectively.
The ER as nuclear receptor (NR) superfamily is a ligand-activated transcription factor. Its two dimer isoforms have distinctive regions of the DNA and ligand-binding domain. The difference region of the hormone-receptor complex binding can trigger receptor conformational changes. The ER combines with specific DNA-response element and transcription cellular components, such as co-regulators with derived activation or repression of the lead genes. There are some parts on the ER regions protein named activation functions (AF1 and AF2), which are related to the co-regulators production. Varieties of agonist or antagonist ligands would bind ER. Among the ER residues, the position of helix 12 (H12) will determine agonist or antagonist effects. In the ER–EST complex, H12 lies across the ligand-binding cavity, while in the ER-4OHT complex, H12 hinders co-activator recognition grooves by imitating interaction NR box peptides, while the LBD hinders the co-activator. These authors found different LBD ER-4OHT secondary and tertiary conformations compared to ER-DES (diethylstilbestrol, a pure agonist ligand). In 4OHT complexes, the main bonds adopt extended conformations and are different in the formation and position of H12. In 4OHT complexes, H12 is composed of residues 536–544. Furthermore, the complexes occupy the part of the coactivator-binding groove formed by residues 3, 4, and 5 and the turn connecting helices 3 and 4. The ER-ligand bindings on His-524 determine agonist or antagonist of the ligand. His-524 H bonds were observed on EST, but VdW bond on 4OHT and no interactions on the ligands tested. The high affinities in ER-α-QOG complexes indicated the highest similarities amino acid residue to 4OHT as describe in [Figure 2]b, [Figure 2]c and [Figure 2]f, [Figure 2]g.
The GUSAR servers were made to obtain the QSAR/QSPR model based on the ligands data. The results were most in applicable in the model use. The peroral (po) data were observed have higher dose than others [Figure 3]a, this means the po route has wider safety margin than others. The ligands have a wide range of LD50 prediction parameter for compound toxicity [Figure 3]a. All compounds have LD50 lower than 5000 mg/kg/day. Therefore, they were classified into 4–5 class. This means that the substances may be slightly toxic if swallowed.
|Figure 3: Toxicity and some adverse effect predictions of the Melia azedarach potential compounds (a) LD50 parameter, (b) anti target scheme of the compounds, 5 H2ARA: 5 hydroxytryptamine 2A receptor antagonist, α1ADRA: Alpha 1a adrenergic receptor antagonist, AOA: Amine oxidase A inhibitor, AND: Androgen receptor antagonist, CA1A: Carbonic anhydrase I activator, D1ARA: D(1A) dopamine receptor antagonist, O dRA: Delta type opioid receptor antagonist, ER: Estrogen receptor alpha antagonist, Na Cl GABAt1A: Sodium and chloride dependent GABA transporter 1 antagonist, Na dDtA: Sodium dependent serotonin transporter antagonist|
Click here to view
Moreover, this study provided the potential for adverse effects of most test molecules. The graph describes their IC50 of the potential adverse effect of the compounds [Figure 3]b. The GUSAR antitarget scheme (in applied model) not only predicts the adverse effect but also provides the potential activity of the compounds. Thirteen receptors were hydroxytryptamine (HT) 1B and 2A, 2C, adrenergic α1A, 1B and 2A (ADR), androgen (AND), dopamine (D) D1A, D3, opioid (O) Δ, μ, K and estrogen (ER). The 5-H2ARA was an example of receptor related to the central nervous system; thus, its antagonist interactions would affect on sickness, emesis, diarrhea, sleeplessness, and anxiety. The ADRA (α-blockers) may cause disturbances on heart rate, blood tension, nasal congestion, to sleep disturbances and so on. Many adverse effects related to the ER antagonist action are noted such as depression, headache, obesity, and hot flashes. Other compounds' interactions were to enzymes (AOIA) and transporters (serotonin, GABA, and dopamine) [[Figure 3]b, respectively]. The main adverse effects of AOIA inhibitors are blood pressure instability to hepatotoxicity, while severe anaphylaxis to bone marrow suppression would have been caused by CA1A. The GABA and dopamine transporter blockers were caused acute respiratory distress syndrome. Among the tested ligands, it was 4OHT showed 17 cell antitargets, while the sequences from the least were the EDT (5), QOG (8), and 1CHM (13).
These findings implied that the EDT is relatively safer compare to others. The side effects of the QOG flavonoid glycoside may occur on hormone and neurotransmitter signaling disorders due to binding with ADR, while 4OHT and EST may result in nervous system and fertility disorder because they interfere with AOA, AND and ER [Figure 3]b., These findings highlighted the molecular potency, interaction mechanisms, and safety prediction of M. azedarach phytochemicals.
| Conclusion|| |
The Melia's quercetin-3-O-digalloyl-β-D-galactopyranoside, limonoid, and steroid possessed low binding energy and measured inhibitory effects (antagonists) interactions on 3ERT. These compounds were found safer than 4OHT.
Republik Indonesia Kemenristekdikti PKPI 2019.
Financial support and sponsorship
Republik Indonesia Kemenristekdikti via BPPDN 2017-2021, and PDD 2020-2021.
Conflicts of interest
There are no conflicts of interest.
| References|| |
Sharma D, Kumar S, Narasimhan B. Estrogen alpha receptor antagonists for the treatment of breast cancer: A review. Chem Cent J 2018;12:107.
Chang M. Tamoxifen resistance in breast cancer. Biomol Ther (Seoul) 2012;20:256-67.
Farzaneh S, Zarghi A. Estrogen receptor ligands: A review (2013-2015). Sci Pharm 2016;84:409-27.
Subarnas A, Diantini A, Abdulah R, Zuhrotun A, Hadisaputri YE, Puspitasari IM, et al.
Apoptosis induced in MCF-7 human breast cancer cells by 20,40-dihydroxy-6-methoxy-3,5-dimethylchalcone isolated from Eugenia aquea
Burm f. leaves. Oncol Lett 2015;9:2303-6.
Powers CN, Setzer WN. A molecular docking study of phytochemical estrogen mimics from dietary herbal supplements. In Silico
Ervina M, Sukardiman. A review: Melia azedarach
L. as a potent anticancer drug. Pharmacogn Rev 2018;12:94-102.
Srinivasan V, Panneerselvam R, Gunasekaran S, Palani S. Nephro-protective activity of ethanolic extract of Melia azadirachta
induced toxicity in Vero
cell line. Int J Appl Biol Pharm Technol 2015;6:44-9.
Jafari M, Saeidnia S, Hajimehdipoor S, Ardekani H, Faramarzi MR, Hadjiakhoondi MA, et al
. Cytotoxic evaluation of Melia azedarach
in comparison with Azadirachta indica
and its phytochemical investigation. DARU J Pharm Sci 2013;2:37-44.
Ervina M, Poerwono H, Widyowati R, Matsunami K, Sukardiman. Bio-selective hormonal breast cancer cytotoxic and antioxidant potencies of Melia azedarach
L. wild type leaves. Biotechnol Rep (Amst) 2020;25:e00437.
Little JL, Williams AJ, Pshenichnov A, Tkachenko V. Identification of “Known Unknowns” utilizing accurate mass data and ChemSpider. J Am Soc Mass Spectrom 2012;23:179Y185.
Blaženović I, Kind T, Ji J, Fiehn O. Software tools and approaches for compound identification of LC-MS/MS data in metabolomics. Metabolites 2018;8:31.
PubChem, US National Library of Medicine, National Centre for Biotechnology Information; 2020. Available from: https://pubchem.ncbi.nlm.nih.gov/
. [Last accessed on 2021 Jan 21].
Mitaine-Offer AC, Marouf A, Hanquet B, Birlirakis N, Lacaille-Dubois MA. Two triterpene saponins from Achyranthes bidentata
. Chem Pharm Bull (Tokyo) 2001;49:1492-4.
Tada K, Takido M, Kitanaka S. Limonoids from fruit of Melia toosendan
and their cytotoxic activity. Phytochemistry 1999;51:787-91.
Ong ES, Ong CN. Qualitative and quantitative analysis of toosendanin in Melia toosendan
Sieb. Et Zucc (Meliaceae
) with liquid chromatography/tandem mass spectrometry. Rapid Commun Mass Spectrom 2007;21:589-98.
Pratama MR, Poerwono H, Siswodiharjo S. ADMET properties of novel 5-O-benzoylpinostrobin derivatives. J Basic Clin Physiol Pharmacol 2019;30:20190251.
O'Boyle NM, Banck M, James CA, Morley C, Vandermeersch T, Hutchison GR. Open babel: An open chemical toolbox. J Cheminform 2011;3:33.
Forli S, Huey R, Pique ME, Sanner MF, Goodsell DS, Olson AJ. Computational protein-ligand docking and virtual drug screening with the AutoDock suite. Nat Protoc 2016;11:905-19.
Berman HM, Battistuz T, Bhat TN, Bluhm WF, Bourne PE, Burkhardt K, et al
. The protein data bank. Acta Crystallogr D Biol Crystallogr 2002;58:899-907.
Morris GM, Huey R, Lindstrom W. Sanner M, Belew RK, Goodsell DS, et al
. Autodock4 and Autodocktools4: Automated docking with selective receptor flexibility. J Comput Chem 2009;30:2785-91.
Kong EH, Pike AC, Hubbard RE. Structure and mechanism of the oestrogen receptor. Biochem Soc Trans 2003;31:56-9.
Zakharov AV, Lagunin AA, Filimonov DA, Poroikov VV. Quantitative prediction of antitarget interaction profiles for chemical compounds. Chem Res Toxicol 2012;25:2378-85.
Liedtke AJ, Crews BC, Daniel CM, Blobaum AL, Kingsley PJ, Ghebreselasie K, et al
. Cyclooxygenase-1-selective inhibitors based on the (E)-2′ -des-methyl-sulindac sulfide scaffold. J Med Chem 2012;55:2287-300.
Wahl J, Smieško M. Endocrine disruption at the androgen receptor: Employing molecular dynamics and docking for improved virtual screening and toxicity prediction. Int J Mol Sci 2018;19:1784.
[Figure 1], [Figure 2], [Figure 3]