In vitro and in silico screening of amides against sexual forms of Plasmodium falciparum
DOI:
https://doi.org/10.33448/rsd-v11i10.32756Keywords:
P. falciparum; Gametocytes; Malaria; Transmission blocking.Abstract
Objective: To evaluate the activity of these compounds on sexual forms of Plasmodium falciparum and to determine the theoretical pharmacokinetic properties of the compounds using in silico assays. Methods: In order to evaluate the inhibition of exflagellant forms, Plasmodium falciparum strain NF54 was used for the production of gametocytes in vitro. The program ADMETlab was used in in silico tests to identify the theoretical pharmacokinetic properties of all compounds. Results: A number of tested natural and synthetic amides do not stand out as possible blockers of malaria transmission. However, they showed moderate inhibition in blocking exflagellation. The results of the virtual screening allowed to know and explore interesting theoretical pharmacokinetic properties of this class of compounds, such as moderate permeability with Caco-2 cells of compound 14f; all can be harmful but non-lethal (LD50); only compound 14f can cause damage to some food (LHID); compounds 1a, 1b, 1g and 1k can be administered at their daily maximum, always noting, 1g and 1k can be administered at their daily maximum; low throughput (CL); high plasma protein binding for compounds 1a, 14f and 18a; optimal distribution volume for 1b, 1g, 1k, 18a and 18b. Final considerations: The results obtained contribute to expand the database on the profile of this class of compounds and antimalarial action.
References
Bains, W., Basman, A., & White, C. (2004). HERG binding specificity and binding site structure: evidence from a fragment-based evolutionary computing SAR study. Progress in Biophysics and Molecular Biology, 86(2), 205–233. doi: 10.1016/j.pbiomolbio.2003.09.001
Belpaire, F. M., & Bogaert, M. G. (2003). The Fate of Xenobiotics in Living Organisms. In The Practice of Medicinal Chemistry: Second Edition (Second Edi). Elsevier Inc. doi: 10.1016/B978-012744481-9/50034-9
Brasil, P., Zalis, M. G., de Pina-Costa, A., Siqueira, A. M., Júnior, C. B., Silva, S., Areas, A. L. L., Pelajo-Machado, M., de Alvarenga, D. A. M., da Silva Santelli, A. C. F., Albuquerque, H. G., Cravo, P., Santos de Abreu, F. V., Peterka, C. L., Zanini, G. M., Suárez Mutis, M. C., Pissinatti, A., Lourenço-de-Oliveira, R., de Brito, C. F. A., … Daniel-Ribeiro, C. T. (2017). Outbreak of human malaria caused by Plasmodium simium in the Atlantic Forest in Rio de Janeiro: a molecular epidemiological investigation. The Lancet Global Health, 5(10), 1038–1046. doi: 10.1016/S2214-109X(17)30333-9
Calit, J., Dobrescu, I., Gaitán, X. A., Borges, M. H., Ramos, M. S., Eastman, R. T., & Bargieri, D. Y. (2018). Screening the Pathogen Box for Molecules Active against Plasmodium Sexual Stages Using a New Nanoluciferase-Based Transgenic Line of P. berghei Identifies Transmission-Blocking Compounds. Antimicrobial Agents and Chemotherapy, 62(11). doi: 10.1128/AAC.01053-18
Cao, D.-S., Zhao, J.-C., Yang, Y.-N., Zhao, C.-X., Yan, J., Liu, S., Hu, Q.-N., Xu, Q.-S., & Liang, Y.-Z. (2012). In silico toxicity prediction by support vector machine and SMILES representation-based string kernel. SAR and QSAR in Environmental Research, 23(1–2), 141–153. doi: 10.1080/1062936X.2011.645874
Chalasani, N., Fontana, R. J., Bonkovsky, H. L., Watkins, P. B., Davern, T., Serrano, J., Yang, H., & Rochon, J. (2008). Causes, Clinical Features, and Outcomes From a Prospective Study of Drug-Induced Liver Injury in the United States. Gastroenterology, 135(6), 1924–1934. doi: 10.1053/j.gastro.2008.09.011
Colmenarejo, G., Lozano, S., González-Cortés, C., Calvo, D., Sanchez-Garcia, J., Matilla, J.-L. P., Leroy, D., & Rodrigues, J. (2018). Predicting transmission blocking potential of anti-malarial compounds in the Mosquito Feeding Assay using Plasmodium falciparum Male Gamete Inhibition Assay. Scientific Reports, 8(1), 7764. doi: 10.1038/s41598-018-26125-w
Delves, M. J., Miguel-Blanco, C., Matthews, H., Molina, I., Ruecker, A., Yahiya, S., Straschil, U., Abraham, M., León, M. L., Fischer, O. J., Rueda-Zubiaurre, A., Brandt, J. R., Cortés, Á., Barnard, A., Fuchter, M. J., Calderón, F., Winzeler, E. A., Sinden, R. E., Herreros, E., … Baum, J. (2018). A high throughput screen for next-generation leads targeting malaria parasite transmission. Nature Communications, 9(1), 3805. doi: 10.1038/s41467-018-05777-2
Delves, M. J., Ruecker, A., Straschil, U., Lelièvre, J., Marques, S., López-Barragán, M. J., Herreros, E., & Sinden, R. E. (2013). Male and Female Plasmodium falciparum Mature Gametocytes Show Different Responses to Antimalarial Drugs. Antimicrobial Agents and Chemotherapy, 57(7), 3268–3274. doi: 10.1128/AAC.00325-13
Delves, M. J., Straschil, U., Ruecker, A., Miguel-Blanco, C., Marques, S., Dufour, A. C., Baum, J., & Sinden, R. E. (2016). Routine in vitro culture of P. falciparum gametocytes to evaluate novel transmission-blocking interventions. Nature Protocols, 11(9), 1668–1680. doi: 10.1038/nprot.2016.096
Duffy, S., & Avery, V. M. (2013). Identification of inhibitors of Plasmodium falciparum gametocyte development. Malaria Journal, 12(1), 408. doi: 10.1186/1475-2875-12-408
Fokoue, H. H., Marques, J. V., Correia, M. V., Yamaguchi, L. F., Qu, X., Aires-de-Sousa, J., Scotti, M. T., Lopes, N. P., & Kato, M. J. (2018). Fragmentation pattern of amides by EI and HRESI: study of protonation sites using DFT-3LYP data. RSC Advances, 8(38), 21407–21413. doi: 10.1039/C7RA00408G
Food and Drug Administration (FDA). (2018). Highlights of Prescribing Information-Krintafel. https://www.accessdata.fda.gov/drugsatfda_docs/label/2018/210795s000lbl.pdf
GHS. (2005). Globally Harmonized System of Classification and Labelling of Chemicals. https://unece.org/ghs-rev1-2005
GOODMAN, L. S., & GILMAN, A. (2012). Farmacocinética: a dinâmica da absorção, distribuição, ação e eliminação dos fármacos. In I. L. O. Buxton & L. Z. Benet (Orgs.), As Bases Farmacológicas da Terapêutica (12o ed, p. 1–2079). Porto Alegre: McGraw-Hill.
Grime, K. H., Barton, P., & McGinnity, D. F. (2013). Application of In Silico, In Vitro and Preclinical Pharmacokinetic Data for the Effective and Efficient Prediction of Human Pharmacokinetics. Molecular Pharmaceutics, 10(4), 1191–1206. doi: 10.1021/mp300476z
Hosey, C. M., & Benet, L. Z. (2015). Predicting the extent of metabolism using in vitro permeability rate measurements and in silico permeability rate predictions. Molecular Pharmaceutics, 12(5), 1456–1466. doi: 10.1021/mp500783g.Predicting
Jing, Y., Easter, A., Peters, D., Kim, N., & Enyedy, I. J. (2015). In silico prediction of hERG inhibition. Future Medicinal Chemistry, 7(5), 571–586. doi: 10.4155/fmc.15.18
Kerns, E. H., & Di, L. (2008a). Advantages of Good Drug-like Properties. In Drug-like Properties: Concepts, Structure Design and Methods (1o ed, p. 6–16). San Diego, USA: Elsevier. doi: 10.1016/B978-012369520-8.50003-6
Kerns, E. H., & Di, L. (2008b). hERG Blocking. In Drug-like Properties: Concepts, Structure Design and Methods (1o ed, p. 209–214). San Diego, USA: Elsevier. doi: 10.1016/B978-012369520-8.50017-6
Kerns, E. H., & Di, L. (2008c). Metabolic Stability. In Drug-like Properties: Concepts, Structure Design and Methods (1o ed, p. 137–II). San Diego, USA: Elsevier. doi: 10.1016/B978-012369520-8.50012-7
Kerns, E. H., & Di, L. (2008d). Pharmacokinetics. In Drug-like Properties: Concepts, Structure Design and Methods (1o ed, p. 228–241). San Diego, USA: Elsevier. doi: 10.1016/B978-012369520-8.50020-6
Kerns, E. H., & Di, L. (2008e). Plasma Protein Binding. In Drug-like Properties: Concepts, Structure Design and Methods (1o ed, p. 187–196). San Diego, USA: Elsevier. doi: 10.1016/B978-012369520-8.50015-2
Khoury, D. S., Cao, P., Zaloumis, S. G., & Davenport, M. P. (2020). Artemisinin Resistance and the Unique Selection Pressure of a Short-acting Antimalarial. Trends in Parasitology, 36(11), 884–887. doi: 10.1016/j.pt.2020.07.004
Kok-Yong, S., & Lawrence, L. (2015). Drug Distribution and Drug Elimination. In Basic Pharmacokinetic Concepts and Some Clinical Applications. InTech. doi: 10.5772/59929
Kumar, R., Sharma, A., Siddiqui, M. H., & Tiwari, R. K. (2018). Prediction of Drug-Plasma Protein Binding Using Artificial Intelligence Based Algorithms. Combinatorial Chemistry & High Throughput Screening, 21(1), 57–64. doi: 10.2174/1386207321666171218121557
Lambros, C., & Vanderberg, J. P. (1979). Synchronization of Plasmodium falciparum Erythrocytic Stages in Culture. The Journal of Parasitology, 65(3), 418. doi: 10.2307/3280287
Leba, L.-J., Musset, L., Pelleau, S., Estevez, Y., Birer, C., Briolant, S., Witkowski, B., Ménard, D., Delves, M. J., Legrand, E., Duplais, C., & Popovici, J. (2015). Use of Plasmodium falciparum culture-adapted field isolates for in vitro exflagellation-blocking assay. Malaria Journal, 14(1), 234. doi: 10.1186/s12936-015-0752-x
Lombardo, F., Desai, P. V., Arimoto, R., Desino, K. E., Fischer, H., Keefer, C. E., Petersson, C., Winiwarter, S., & Broccatelli, F. (2017). In Silico Absorption, Distribution, Metabolism, Excretion, and Pharmacokinetics (ADME-PK): Utility and Best Practices. An Industry Perspective from the International Consortium for Innovation through Quality in Pharmaceutical Development. Journal of Medicinal Chemistry, 60(22), 9097–9113. doi: 10.1021/acs.jmedchem.7b00487
Miao, J., Wang, Z., Liu, M., Parker, D., Li, X., Chen, X., & Cui, L. (2013). Plasmodium falciparum: Generation of pure gametocyte culture by heparin treatment. Experimental Parasitology, 135(3), 541–545. doi: 10.1016/j.exppara.2013.09.010
Miguel-Blanco, C., Molina, I., Bardera, A. I., Díaz, B., de las Heras, L., Lozano, S., González, C., Rodrigues, J., Delves, M. J., Ruecker, A., Colmenarejo, G., Viera, S., Martínez-Martínez, M. S., Fernández, E., Baum, J., Sinden, R. E., & Herreros, E. (2017). Hundreds of dual-stage antimalarial molecules discovered by a functional gametocyte screen. Nature Communications, 8(1), 15160. doi: 10.1038/ncomms15160
Pham The, H., González-Álvarez, I., Bermejo, M., Mangas Sanjuan, V., Centelles, I., Garrigues, T. M., & Cabrera-Pérez, M. Á. (2011). In Silico Prediction of Caco-2 Cell Permeability by a Classification QSAR Approach. Molecular Informatics, 30(4), 376–385. doi: 10.1002/minf.201000118
Pinto, N., & Eileen Dolan, M. (2011). Clinically Relevant Genetic Variations in Drug Metabolizing Enzymes. Current Drug Metabolism, 12(5), 487–497. doi: 10.2174/138920011795495321
Roberts, F., & Freshwater-Turner, D. (2007). Pharmacokinetics and anaesthesia. Continuing Education in Anaesthesia Critical Care & Pain, 7(1), 25–29. doi: 10.1093/bjaceaccp/mkl058
Sabbatani, S., Manfredi, R., & Fiorino, S. (2010). Malaria infection and the anthropological evolution. Saúde e Sociedade, 19(1), 64–83. doi: 10.1590/S0104-12902010000100006
Sanguinetti, M. C., & Mitcheson, J. S. (2005). Predicting drug–hERG channel interactions that cause acquired long QT syndrome. Trends in Pharmacological Sciences, 26(3), 119–124. doi: 10.1016/j.tips.2005.01.003
Santos, B. M., Dias, B. K. M., Nakabashi, M., & Garcia, C. R. S. (2021). The Knockout for G Protein-Coupled Receptor-Like PfSR25 Increases the Susceptibility of Malaria Parasites to the Antimalarials Lumefantrine and Piperaquine but Not to Medicine for Malaria Venture Compounds. Frontiers in Microbiology, 12. doi: 10.3389/fmicb.2021.638869
Silva, M. A. da, Da Silva, F. B. ., Passarini, G. M. ., Fialho, S. N. ., Dos Santos, A. P. D. A. ., Martinez, L. D. N., Teles, C. B. G., & Kuehn, C. C. (2019). No Title. South American Journal of Basic Education, Technical and Technological, 6(2), 818–858.
Silva, M. A., Veloso, M. P., de Souza Reis, K., de Matos Passarini, G., dos Santos, A. P. de A., do Nascimento Martinez, L., Fokoue, H. H., Kato, M. J., Teles, C. B. G., & Kuehn, C. C. (2020). In silico evaluation and in vitro growth inhibition of Plasmodium falciparum by natural amides and synthetic analogs. Parasitology Research, 119(6), 1879–1887. doi: 10.1007/s00436-020-06681-9
Suh, J. I. (2020). Drug-induced liver injury. Yeungnam University Journal of Medicine, 37(1), 2–12. doi: 10.12701/yujm.2019.00297
Sun, H., Huang, R., Xia, M., Shahane, S., Southall, N., & Wang, Y. (2017). Prediction of hERG Liability - Using SVM Classification, Bootstrapping and Jackknifing. Molecular Informatics, 36(4), 1600126. doi: 10.1002/minf.201600126
Trager, W., & Jensen, J. B. (1976). Human Malaria Parasites in Continuous Culture. Science, 193(4254), 673–675. doi: 10.1126/science.781840
Tran, T. M., & Crompton, P. D. (2020). Decoding the complexities of human malaria through systems immunology. Immunological Reviews, 293(1), 144–162. doi: 10.1111/imr.12817
Vandenberg, J. I., Perry, M. D., Perrin, M. J., Mann, S. A., Ke, Y., & Hill, A. P. (2012). hERG K + Channels: Structure, Function, and Clinical Significance. Physiological Reviews, 92(3), 1393–1478. doi: 10.1152/physrev.00036.2011
Villoutreix, B. O., & Taboureau, O. (2015). Computational investigations of hERG channel blockers: New insights and current predictive models. Advanced Drug Delivery Reviews, 86, 72–82. doi: 10.1016/j.addr.2015.03.003
Vuignier, K., Schappler, J., Veuthey, J.-L., Carrupt, P.-A., & Martel, S. (2010). Drug–protein binding: a critical review of analytical tools. Analytical and Bioanalytical Chemistry, 398(1), 53–66. doi: 10.1007/s00216-010-3737-1
Wicht, K. J., Mok, S., & Fidock, D. A. (2020). Molecular Mechanisms of Drug Resistance in Plasmodium falciparum Malaria. Annual Review of Microbiology, 74(1), 431–454. doi: 10.1146/annurev-micro-020518-115546
Witchel, H. J. (2007). The hERG potassium channel as a therapeutic target. Expert Opinion on Therapeutic Targets, 11(3), 321–336. doi: 10.1517/14728222.11.3.321
World Health Organization – WHO. (2021). World malaria report 2021. https://www.who.int/teams/global-malaria-programme/reports/world-malaria-report-2021
Xu, Y., Dai, Z., Chen, F., Gao, S., Pei, J., & Lai, L. (2015). Deep Learning for Drug-Induced Liver Injury. Journal of Chemical Information and Modeling, 55(10), 2085–2093. doi: 10.1021/acs.jcim.5b00238
Yee, S. (1997). In vitro permeability across Caco-2 cells (colonic) can predict in vivo (small intestinal) absorption in man-Factor or myth. Pharmaceutical Research, 14(6), 4.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 Minelly Azevedo da Silva; Leandro do Nascimento Martinez; Marcinete Latorre Almeida; Amália dos Santos Ferreira; Saara Neri Fialho; Harold Hilarion Fokoue; Massuo Jorge Kato; Maisa da Silva Araújo; Carolina Bioni Garcia Teles
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
1) Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
2) Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
3) Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.