Submitted:
08 April 2024
Posted:
09 April 2024
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Abstract
Keywords:
1. Introduction
2. Results and Discussion
2.1. Alkaloid Profile
2.2. AChE and BuChE Inhibitory Activity
2.3. Molecular Docking Results
2.3. Molecular dynamics (MD) simulations
3. Materials and Methods
3.1. Plant Material
3.2. Alkaloid Extraction
3.3. GC-MS Analysis
3.4. AChE and BuChE Inhibitory Activity
3.5. Statistical Analysis
3.5. Molecular docking
3.5. Molecular dynamics simulations (MD)
3.5.1. Free energy calculations
4. Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Bastida, J.; Lavilla, R.; Viladomat, F. Chemical and biological aspects of Narcissus alkaloids. In: Cordell GA (ed), The Alkaloids: Chemistry and Physiology. 63, Elsevier, 2006, Amsterdam, pp. 87–179.
- Berkov S, Osorio E, Viladomat F, Bastida J (2020) Chemodiversity, chemotaxonomy and chemoecology of AA. In: Knölker H-J (ed), The Alkaloids: Chemistry and Biology. 83, Elsevier, Amsterdam, pp. 113–185. [CrossRef]
- Meerow, A.W.; Gardner, E.M.; Nakamura, K. Phylogenomicsof the Andean Tetraploid Clade of theAmerican Amaryllidaceae (SubfamilyAmaryllidoideae): Unlockinga Polyploid Generic Radiation Abettedby Continental Geodynamics. Front. Plant Sci. 2020, 11, 582422. [Google Scholar] [CrossRef] [PubMed]
- Kornienko, A.; Evidente, A. Chemistry, biology and medicinal potential of narciclasine and its congeners. Chem. Rev. 2008, 108, 1982–2014. [Google Scholar] [CrossRef] [PubMed]
- Meerow, A.W.; Jost, L.; Oleas, N. Two new species of endemic Ecuadorean Amaryllidaceae (Asparagales,Amaryllidaceae, Amarylloideae, Eucharideae). Phytokeys 2015, 48, 1–9. [Google Scholar] [CrossRef] [PubMed]
- Meerow, A.W. Biosyntematics of two sympatric species of Eucharis (Amaryllidaceae). Pl Syst Evol 1989, 166, 11–30. [Google Scholar] [CrossRef]
- Meerow, A.W. 202. Amaryllidaceae. In: Harling G, Andersson L (Eds) Flora of Ecuador 41: 1–52. Univ. Göteborg/Riksmuseum, Stockholm/Pontificia Univ. Católica del Ecuador, Quito, 1990.
- Meerow, A.W.; Werff, H. van der. Pucara (Amaryllidaceae) Reduced to Synonymy with Stenomesson on the Basis of Nuclear and Plastid DNA Spacer Sequences, and a New Related Species of Stenomesson. Syst. Bot. [CrossRef]
- Meerow, A.W.; Guy, C.L. ; Li, Q-B.; Yang, S-L. Phylogeny of he American Amaryllidaceae based on nrDNA ITS sequences. Syst. Bot. :4. [CrossRef]
- Alzate, F.; Lesmes, M.; Cortés, N.; Varela, S.; Osorio, E. Sinopsis de la família Amaryllidaceae em Colombia. Biota Colombiana, 1: 20; :1.
- León, B.; Sagástegui, A.; Sánchez, I.; Zapata, M.; Meerow, A.; Cano, A. Amaryllidaceae endémicas del Perú. Rev. Peru. Biol. 2: 13, 1727; :2. [Google Scholar]
- Leiva, S.; Meerow, A.W. A new species of Clinanthus from northern Peru (Asparagales, Amaryllidaceae, Amarylloideae, Clinantheae). PhytoKeys, 2016, 63, 99–106. [Google Scholar] [CrossRef]
- Cabezas, F.; Ramírez, A.; Viladomat, F.; Codina, C.; Bastida, J. Alkaloids from Eucharis amazonica (Amaryllidaceae). Chem Pharm Bull.
- Vargas, C.C. Phytomorphic representations of the ancient Peruvians. Econ. Bot. 1962, 16, 106–115. [Google Scholar] [CrossRef]
- Acosta, K.; Pigni, N.; Oleas, N.; Bastida, J. Identification of the alkaloids of Steno- messon aurantiacum (Kunth) Herb., an Amaryllidaceae species from the Ecuadorian Andes. PharmacologyOnline 2014, 3, 178–183. [Google Scholar]
- Acosta, K.; Inca, A.; Tallini, L.R.; Osorio, E.H.; Robles, J.; Bastida, J.; Oleas, N.H. Alkaloids of Phaedranassa dubia (Kunth) J.F. Macbr. and Phaedranassa brevifolia Meerow (Amaryllidaceae) from Ecuador and its cholinesterase-inhibitory activity. S Afri J Bot. [CrossRef]
- Moreno, R.; Tallini, L.R.; Salazar, C.; Osorio, E.H.; Montero, E.; Bastida, J.; Oleas, N.H.; León, K.A. Chemical profiling and cholinesterase inhibitory activity of five Phaedranassa Herb. (Amaryllidaceae) species from Ecuador. Molecules 2020, 25, 2092. [Google Scholar] [CrossRef]
- Tallini, L.R.; Carrasco, A.; Acosta, K.L.; Vinueza, D.; Bastida, J.; Oleas, N.H. Alkaloid Profiling and Cholinesterase Inhibitory Potential of Crinum × amabile Donn. (Amaryllidaceae) Collected in Ecuador. Plants 2021, 10, 2686. [Google Scholar] [CrossRef]
- WHO, 2023. Acessible online: https://www.who.int/health-topics/dementia#tab=tab_1 Accessed on 20 Nov, 2023.
- Konrath, E.L.; dos Santos, C.P.; Klein-Júnior, L.C.; Henriques, A.T. Alkaloids as a source of potential anticholinesterase inhibitors for the treatment of Alzheimer’s disease. J. Pharm. Pharm. 2013, 65, 1701–1725. [Google Scholar] [CrossRef]
- Berkov, S.; Georgieva, L.; Kondakova, V.; Atanassov, A.; Viladomat, F.; Bastida, J.; Codina, C. Plant sources of galanthamine: Phytochemical and biotechnological aspects. Biotechnol. Biotechnol. Equip. 2009, 23, 1170–1176. [Google Scholar] [CrossRef]
- Berkov, S.; Georgieva, L.; Sidjimova, B.; Bastida, J. Evaluation of Hippeastrum papilio (Ravenna) Van Scheepen potencial as a new industrial source of galanthamine. Ind. Crop. Prod., 2022, 178, 114619. [Google Scholar] [CrossRef]
- Soto-Vásquez, M.R.; Alvarado-García, P.A.A.; Osorio, E.H.; Tallini, L.R.; Bastida, J. Antileishmanial activity of Clinanthus milagroanthus S. Leiva & Meerow (Amaryllidaceae) collected in Peru. Plants, 2023, 12, 322. [Google Scholar] [CrossRef] [PubMed]
- de Andrade, J.P.; Pigni, N.B.; Torras-Claveria, L.; Berkov, S.; Codina, C.; Viladomat, F.; Bastida, J. Bioactive alkaloid extracts from Narcissus broussonetii: mass spectral studies. J Pharmaceut Biomed 2012, 70, 13–25. [Google Scholar] [CrossRef] [PubMed]
- Cortes, N.; Castañeda, C.; Osorio, E.H.; Cardona-Gomez, G.P.; Osorio, E. Amaryllidaceae alkaloids as agents with protective effects against oxidative neural cell injury. Life Sci. 2018, 203, 54–65. [Google Scholar] [CrossRef]
- Cortes, N.; Sierra, K.; Alzate, F.; Osorio, E.H.; Osorio, E. Alkaloids of Amaryllidaceae as Inhibitors of Cholinesterases (AChEs and BChEs): An Integrated Bioguided Study. Phytochem Anal, :2. [CrossRef]
- Soto-Vásquez, M.R.; Horna-Pinedo, M.V.; Tallini, L.R.; Bastida, J. Chemical Composition and In Vitro Antiplasmodial Activity of the Total Alkaloids of the Bulbs of Two Amaryllidaceae Species from Northern Peru. Pharmacogn. J. 2021, 13, 1046–1052. [Google Scholar] [CrossRef]
- Rodríguez-Escobar, M.L.; Tallini, L.R.; Lisa-Molina, J.; Berkov, S.; Viladomat, F.; Meerow, A.; Bastida, J.; Torras-Claveria, L. Chemical and Biological Aspects of Different Species of the Genus Clinanthus Herb. (Amaryllidaceae) from South America. Molecules 2023, 28, 5408. [Google Scholar] [CrossRef]
- Calderón, A.I.; Cubilla, M.; Espinosa, A.; Gupta, M.P. Screening of plants of Amaryllidaceae and related families from Panama as sources of acetylcholinesterase inhibitors. Pharmaceutical Biology, :9.
- Lindstrom, J.; Cooper, J.; Tzartos, S. Acetylcholine receptors from Torpedo and Electrophorus have similar subunit structures. Biochemistry. [CrossRef]
- Stavrianakou, M.; Perez, R.; Wu, C.; Sachs, M.S.; Aramayo, R.; Harlow, M. Draft de novo transcriptome assembly and proteome characterization of the electric lobe of Tetronarce californica: a molecular tool for the study of cholinergic neurotransmission in the electric organ. BCM Genomics 2017, 18, 611. [Google Scholar] [CrossRef]
- Silman, I.; Sussman, J.L. Acetylcholinesterase: How is structure related to function? Chem-Biol. Interact. 2008, 175, 3–10. [Google Scholar] [CrossRef]
- Dvir, H.; Silman, I.; Harel, M.; Rosenberry, T.L.; Sussman, J.L. Acetylcholinesterase: From 3D structure to function. Chem-Biol. Interact. 2010, 187, 10–22. [Google Scholar] [CrossRef]
- Orhan, I.; Sener, B. Bioactivity-directed fractionation of alkaloids from some Amaryllidaceae plants and their anticholinesterase activity. Chem. Nat. Compd. 2003, 39, 383–386. [Google Scholar] [CrossRef]
- Torras-Claveria, L.; Berkov, S.; Codina, C.; Viladomat, F.; Bastida, J. Metabolomic analysis of bioactive Amaryllidaceae alkaloids of ornamental varieties of Narcissus by GC-MS combined with k-means cluster analysis. Ind. Crop. Prod. 2014, 56, 211–222. [Google Scholar] [CrossRef]
- Ellman, G.L.; Courtney, K.D.; Andres, Jr.V.; Featherstone, R.M. A new and rapid colorimetric determination of acetylcholinesterase activity. Biochem. Pharm. 1961, 7, 88–95. [Google Scholar] [CrossRef] [PubMed]
- López, S.; Bastida, J.; Viladomat, F.; Codina, C. Acetylcholinesterase inhibitory activity of some Amaryllidaceae alkaloids and Narcissus extracts. Life Sci. 2002, 71, 2521–2529. [Google Scholar] [CrossRef]
- Greenblatt, H.M.; Kryger, G.; Lewis, T.; Silman, I.; Sussman, J.L. Structure of acetylcholinesterase complexed with (-)galanthamine at 2. 3 Å resolution. FEBS Lett. 1999, 463, 321–326. [Google Scholar] [CrossRef]
- Morris, G.M.; Huey, R.; Lindstrom, W.; Sanner, M.F.; Belew, R.K.; Goodsell, D.S.; Olson, A.J. AutoDock4 and AutoDockTools4: Automated Docking with Selective Receptor Flexibility. J. Comput. Chem. 2785; :16. [Google Scholar] [CrossRef]
- Sierra, K.; de Andrade, J.P.; Tallini, L.R.; Osorio, E.H.; Yañéz, O.; Osorio, M.I.; Oleas, N.H.; García-Beltrán, O.; Borges, W. de S.; Bastida, J.; Osorio, E.; Cortes, N. In vitro and in silico analysis of galanthine from Zephyranthes carinata as an inhibitor of acetylcholinesterase. Biomed. Pharmacother. 2022, 150, 113016. [Google Scholar] [CrossRef] [PubMed]
- Morris, G.M.; Goodsell, D.S.; Halliday, R.S.; Huey, R.; Hart, W.E.; Belew, R.K.; Olson, A.J. Automated Docking Using a Lamarckian Genetic Algorithm and an Empirical Binding Free Energy Function. J. Comput. Chem. 1639; :14. [Google Scholar] [CrossRef]
- Neria, E.; Fischer, S.; Karplus, M. Simulation of activation free energies in molecular systems. J. Chem. Phys. 1996, 105, 1902–1921. [Google Scholar] [CrossRef]
- Wang, J.; Wolf, R.M.; Caldwell, J.W.; Kollman, P.A.; Case, D.A. Development and Testing of a General Amber Force Field. J. Comput. Chem. 1157; :9. [Google Scholar] [CrossRef]
- Özpinar, G.A.; Peukert, W.; Clark, T. An improved generalized AMBER force field (GAFF) for urea. J. Mol. Model. 2016, 16, 1427–1440. [Google Scholar] [CrossRef] [PubMed]
- Salomon-Ferrer, R.; Case, D.A.; Walker, R.C. An overview of the Amber biomolecular simulation package. J. Comput. Chem. 1668; :16. [Google Scholar] [CrossRef]
- Phillips, J.C.; Braun, R.; Wang, W.; Gumbart, J.; Tajkhorshid, E.; Villa, E.; Chipot, C.; Skeel, R.D.; Kalé, L.; Schulten, K. Scalable Molecular Dynamics with NAMD. J. Comput. Chem. 1781; :16. [Google Scholar] [CrossRef]
- Phillips, J.C.; Hardy, D.J.; Maia, J.D.C. Scalable molecular dynamics on CPU and GPU architectures with NAMD. J. Chem. Phys. 2020, 153, 044130. [Google Scholar] [CrossRef]
- Humphrey, W.; Dalke, A.; Schulten, K. VMD: Visual Molecular Dynamics. J. Mol. Graphics. :1. [CrossRef]
- Hayes, J.M.; Archontis, G. MM-GB(PB)SA Calculations of Protein-Ligand Binding Free Energies. Molecular Dynamics - Studies of Synthetic and Biological Macromolecules. 2012. [CrossRef]
- Götz, A.W.; Williamson, M.J.; Xu, D.; Ducan, P.; Grand, S.L.; Walker, R.C.; Routine Microsecond Molecular Dynamics Simulations with AMBER on GPUs. 1. Generalized Born. J. Chem. Theory. Comput. 2012, 8, 1542–1555. [Google Scholar] [CrossRef]
- Abroshan, H.; Akbarzadeh, H.; Parsafar, G.A. Molecular dynamics simulation and MM–PBSA calculations of sickle cell hemoglobin in dimer form with Val, Trp, or Phe at the lateral contact. J. Phys. Org. Chem. :9. [CrossRef]







| Alkaloid | RI | [M+] | BP | A | B | C | D | E |
|---|---|---|---|---|---|---|---|---|
| trisphaeridine (1) | 2323.1 | 223 | 223 | - | - | - | - | 8.1 |
| galanthamine (2) | 2386.1 | 287 | 286 | 46.2 | 28.2 | - | - | 74.1 |
| sanguinine (3) | 2452.4 | 273 | 273 | - | - | - | - | 7.8 |
| unidentified (galanthamine-type)1 (4) | 2474.4 | 287 | 286 | - | - | - | - | 24.0 |
| galanthindole (5) | 2535.0 | 281 | 281 | - | - | - | - | 15.8 |
| 8-O-demethylmaritidine (6) | 2539.9 | 273 | 273 | - | - | - | - | 6.1 |
| anhydrolycorine (7) | 2543.6 | 251 | 250 | - | - | - | 24.5 | - |
| augustine (8) | 2576.1 | 301 | 301 | - | - | - | - | 45.4 |
| kirkine (9) | 2590.1 | 273 | 252 | - | - | - | - | 23.1 |
| haemanthamine (10) | 2611.5 | 301 | 272 | 172.5 | 37.2 | 101.4 | - | - |
| tazettine (11) | 2620.4 | 331 | 247 | - | - | 32.6 | - | - |
| 11,12-dehydroanhydrolycorine (12) | 2644.4 | 249 | 248 | - | - | - | - | 181.6 |
| 11-hydroxyvittatine (13) | 2679.4 | 287 | 258 | 16.9 | 9.8 | - | - | 108.1 |
| unidentified (pretazettine-type)1 (14) | 2697.3 | 331 | 261 | - | - | - | - | 8.2 |
| lycorine (15) | 2716.5 | 287 | 226 | 251.6 | 273.9 | 168.1 | 149.9 | - |
| 2-hydroxyanhydrolycorine 2 (16) | 2891.6 | 267 | 266 | - | - | - | 60.2 | - |
| Total | 487.2 | 349.1 | 302.1 | 234.6 | 502.3 |
| Substrate | MM-GBSA (kcal·mol-1)* |
Molecular Docking (kcal·mol-1) |
|---|---|---|
| 2-hydroxyanhydrolycorine | -23.695 (2.106) | -8.94 |
| galanthamine | -36.710 (2.842) | -9.43 |
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