Literature DB >> 31612362

Repurposing of known drugs for leishmaniasis treatment using bioinformatic predictions, in vitro validations and pharmacokinetic simulations.

Christian Bustamante1, Rodrigo Ochoa1,2, Claudia Asela1, Carlos Muskus3.   

Abstract

Leishmaniasis is a neglected tropical disease caused by Leishmania parasites and is associated to more than 1.3 million cases annually. Some of the pharmacological options for treating the disease are pentavalent antimonials, pentamidine, miltefosine, and amphotericin B. However, all are associated with a wide range of adverse effects and contraindications, as well as resistance from the parasite. In the present study, we looked for pharmacological alternatives to treat leishmaniasis, with a focus on drug repurposing. This was done by detecting potential homologs between proteins targeted by approved drugs and proteins of the parasite. The proteins were analyzed using an interaction network, and the drugs were subjected to in vitro evaluations and pharmacokinetics simulations to compare probable plasma concentrations with the effective concentrations detected experimentally. This strategy yielded a list of 33 drugs with potential anti-Leishmania activity, and more than 80 possible protein targets in the parasite. From the drugs tested, two reported high in vitro activity (perphenazine EC50 = 1.2 µg/mL and rifabutin EC50 = 8.5 µg/mL). These results allowed us to propose these drugs as candidates for further in vivo studies and evaluations of the effectiveness on their topical forms.

Entities:  

Keywords:  Drug repurposing; In vitro activity; Leishmaniasis; Pharmacokinetic simulations; Protein interaction networks

Year:  2019        PMID: 31612362     DOI: 10.1007/s10822-019-00230-y

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  34 in total

Review 1.  Drug repositioning: identifying and developing new uses for existing drugs.

Authors:  Ted T Ashburn; Karl B Thor
Journal:  Nat Rev Drug Discov       Date:  2004-08       Impact factor: 84.694

Review 2.  In silico repositioning of approved drugs for rare and neglected diseases.

Authors:  Sean Ekins; Antony J Williams; Matthew D Krasowski; Joel S Freundlich
Journal:  Drug Discov Today       Date:  2011-03-01       Impact factor: 7.851

Review 3.  Life in vacuoles--nutrient acquisition by Leishmania amastigotes.

Authors:  R J Burchmore; M P Barrett
Journal:  Int J Parasitol       Date:  2001-10       Impact factor: 3.981

4.  Phenotypic characterization of a glucose transporter null mutant in Leishmania mexicana.

Authors:  Dayana Rodriguez-Contreras; Xiuhong Feng; Kristie M Keeney; H G Archie Bouwer; Scott M Landfear
Journal:  Mol Biochem Parasitol       Date:  2007-01-18       Impact factor: 1.759

5.  In vitro and in vivo studies of the utility of dimethyl and diethyl carbaporphyrin ketals in treatment of cutaneous leishmaniasis.

Authors:  Viviana M Taylor; David L Cedeño; Diana L Muñoz; Marjorie A Jones; Timothy D Lash; Alexandra M Young; Manuel H Constantino; Nicholas Esposito; Iván D Vélez; Sara M Robledo
Journal:  Antimicrob Agents Chemother       Date:  2011-07-25       Impact factor: 5.191

6.  Protein network prediction and topological analysis in Leishmania major as a tool for drug target selection.

Authors:  Andrés F Flórez; Daeui Park; Jong Bhak; Byoung-Chul Kim; Allan Kuchinsky; John H Morris; Jairo Espinosa; Carlos Muskus
Journal:  BMC Bioinformatics       Date:  2010-09-27       Impact factor: 3.169

7.  Population pharmacokinetics of metformin in healthy subjects and patients with type 2 diabetes mellitus: simulation of doses according to renal function.

Authors:  Janna K Duong; Shaun S Kumar; Carl M Kirkpatrick; Louise C Greenup; Manit Arora; Toong C Lee; Peter Timmins; Garry G Graham; Timothy J Furlong; Jerry R Greenfield; Kenneth M Williams; Richard O Day
Journal:  Clin Pharmacokinet       Date:  2013-05       Impact factor: 6.447

8.  Population pharmacokinetics of perphenazine in schizophrenia patients from CATIE: impact of race and smoking.

Authors:  Yuyan Jin; Bruce G Pollock; Kim Coley; Del Miller; Stephen R Marder; Jeff Florian; Lon Schneider; Jeffrey Lieberman; Margaret Kirshner; Robert R Bies
Journal:  J Clin Pharmacol       Date:  2009-10-20       Impact factor: 3.126

Review 9.  Pharmacokinetics and pharmacodynamics of antimicrobial drugs.

Authors:  David Czock; Christoph Markert; Bertram Hartman; Frieder Keller
Journal:  Expert Opin Drug Metab Toxicol       Date:  2009-05       Impact factor: 4.481

Review 10.  Leishmaniasis: current status of available drugs and new potential drug targets.

Authors:  Nisha Singh; Manish Kumar; Rakesh Kumar Singh
Journal:  Asian Pac J Trop Med       Date:  2012-06       Impact factor: 1.226

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  4 in total

Review 1.  Use of Artificial Intelligence and Machine Learning for Discovery of Drugs for Neglected Tropical Diseases.

Authors:  David A Winkler
Journal:  Front Chem       Date:  2021-03-15       Impact factor: 5.221

2.  Applied Machine Learning Toward Drug Discovery Enhancement: Leishmaniases as a Case Study.

Authors:  Emna Harigua-Souiai; Rafeh Oualha; Oussama Souiai; Ines Abdeljaoued-Tej; Ikram Guizani
Journal:  Bioinform Biol Insights       Date:  2022-04-22

Review 3.  Metabolic Pathways of Leishmania Parasite: Source of Pertinent Drug Targets and Potent Drug Candidates.

Authors:  Surbhi Jain; Utkarsha Sahu; Awanish Kumar; Prashant Khare
Journal:  Pharmaceutics       Date:  2022-07-30       Impact factor: 6.525

4.  Repositioning Lopinavir, an HIV Protease Inhibitor, as a Promising Antifungal Drug: Lessons Learned from Candida albicans-In Silico, In Vitro and In Vivo Approaches.

Authors:  André L S Santos; Lys A Braga-Silva; Diego S Gonçalves; Lívia S Ramos; Simone S C Oliveira; Lucieri O P Souza; Vanessa S Oliveira; Roberto D Lins; Marcia R Pinto; Julian E Muñoz; Carlos P Taborda; Marta H Branquinha
Journal:  J Fungi (Basel)       Date:  2021-05-28
  4 in total

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