Screening of the activity of sixty essential oils against plasmodium early mosquito stages in vitro and machine learning analysis reveals new putative inhibitors of malaria parasites.

Autor:	Deligianni E; Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology - Hellas, Heraklion, Greece., Pizzi E; Servizio Grandi Strumentazioni e Core Facilities, Istituto Superiore di Sanità, Rome, Italy., Kavelaki I; Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology - Hellas, Heraklion, Greece., Siden-Kiamos I; Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology - Hellas, Heraklion, Greece., Sapienza FU; Rome Center for Molecular Design-RCMD, Department of Drug Chemistry and Technology, University Sapienza of Rome, Italy., Fioravanti R; Department of Drug Chemistry and Technology, University Sapienza of Rome, Rome, Italy., Garzoli S; Department of Drug Chemistry and Technology, University Sapienza of Rome, Rome, Italy., Pace T; Dipartimento di Malattie Infettive, Istituto Superiore di Sanità, Rome, Italy., Ponzi M; Dipartimento di Malattie Infettive, Istituto Superiore di Sanità, Rome, Italy., Ragno R; Department of Drug Chemistry and Technology, University Sapienza of Rome, Rome, Italy. Electronic address: rino.ragno@uniroma1.it., Currà C; Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology - Hellas, Heraklion, Greece. Electronic address: curra@imbb.forth.gr.
Jazyk:	angličtina
Zdroj:	International journal for parasitology. Drugs and drug resistance [Int J Parasitol Drugs Drug Resist] 2023 Dec; Vol. 23, pp. 87-93. Date of Electronic Publication: 2023 Nov 21.
DOI:	10.1016/j.ijpddr.2023.11.002
Abstrakt:	Malaria, an infectious disease with a tremendous impact on human health is caused by Plasmodium parasites, and transmitted by Anopheles mosquitoes. New approaches to control the disease involve transmission blocking strategies aiming to target the parasite in the mosquito. Here, we investigated the putative inhibitory activity of essential oils and their components on the early mosquito stages of the parasite. We employed an in vitro assay of gametocyte-to-ookinete development of the rodent model parasite Plasmodium berghei combined with high content screening. 60 essential oils with known composition were tested. The results revealed that fifteen EOs had inhibitory activity. Furthermore, a machine learning approach was used to identify the putative inhibitory components. Five of the most important chemical components indicated by the machine learning-based models were actually confirmed by the experimental approach. This combined approach was used for the first time to identify the potential transmission blocking activity of essential oils and single components at the zygote and ookinete stages. Competing Interests: Declaration of competing interest The authors declare no conflict of interest. (Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.)
Databáze:	MEDLINE
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