Abstract
Leishmaniasis is a neglected disease caused by protozoan belonging to the Leishmania genus. There are at least 16 pathogenic species for humans that are able to cause different clinical forms, such as cutaneous or visceral leishmaniasis. In spite of the different species and clinical forms, the treatment is performed with few drug options that, in most cases, are considered outdated. In addition, patients under classical treatment show serious side effects during drug administration, moreover parasites are able to become resistant to medicines. Thus, it is believed and well accepted that is urgent and necessary to develop new therapeutic options to overpass these concerns about conventional therapy of leishmaniasis. The present review will focus on the efficacy, side effects and action mechanism of classic drugs used in the treatment of leishmaniasis, as well as the importance of traditional knowledge for directing a rational search toward the discovery and characterization of new and effective molecules (in vivo assays) from plants to be used against leishmaniasis.
Keywords: Leishmaniasis, Conventional drugs, Ethnopharmacology, New drugs, Molecules, Amphotericin.
Current Topics in Medicinal Chemistry
Title:Conventional Versus Natural Alternative Treatments for Leishmaniasis: A Review
Volume: 18 Issue: 15
Author(s): Luiz Felipe Domingues Passero*, Lucas Antal Cruz, Gabriela Santos-Gomes, Eliana Rodrigues, Márcia Dalastra Laurenti and João Henrique Ghilardi Lago
Affiliation:
- Institute of Biosciences, Sao Paulo State University (UNESP), Sao Vicente. Praca Infante Dom Henrique, s/n, 11330- 900 Sao Vicente, SP,Brazil
Keywords: Leishmaniasis, Conventional drugs, Ethnopharmacology, New drugs, Molecules, Amphotericin.
Abstract: Leishmaniasis is a neglected disease caused by protozoan belonging to the Leishmania genus. There are at least 16 pathogenic species for humans that are able to cause different clinical forms, such as cutaneous or visceral leishmaniasis. In spite of the different species and clinical forms, the treatment is performed with few drug options that, in most cases, are considered outdated. In addition, patients under classical treatment show serious side effects during drug administration, moreover parasites are able to become resistant to medicines. Thus, it is believed and well accepted that is urgent and necessary to develop new therapeutic options to overpass these concerns about conventional therapy of leishmaniasis. The present review will focus on the efficacy, side effects and action mechanism of classic drugs used in the treatment of leishmaniasis, as well as the importance of traditional knowledge for directing a rational search toward the discovery and characterization of new and effective molecules (in vivo assays) from plants to be used against leishmaniasis.
Export Options
About this article
Cite this article as:
Passero Felipe Domingues Luiz *, Cruz Antal Lucas , Santos-Gomes Gabriela , Rodrigues Eliana, Laurenti Dalastra Márcia and Lago Henrique Ghilardi João, Conventional Versus Natural Alternative Treatments for Leishmaniasis: A Review, Current Topics in Medicinal Chemistry 2018; 18 (15) . https://dx.doi.org/10.2174/1568026618666181002114448
| DOI https://dx.doi.org/10.2174/1568026618666181002114448 |
Print ISSN 1568-0266 |
| Publisher Name Bentham Science Publisher |
Online ISSN 1873-4294 |
Call for Papers in Thematic Issues
Adaptogens—History and Future Perspectives
Adaptogens are pharmacologically active compounds or plant extracts that are associated with the ability to enhance the body’s stability against stress. The intake of adaptogens is associated not only with a better ability to adapt to stress and maintain or normalise metabolic functions but also with better mental and physical ...read more
AlphaFold in Medicinal Chemistry: Opportunities and Challenges
AlphaFold, a groundbreaking AI tool for protein structure prediction, is revolutionizing drug discovery. Its near-atomic accuracy unlocks new avenues for designing targeted drugs and performing efficient virtual screening. However, AlphaFold's static predictions lack the dynamic nature of proteins, crucial for understanding drug action. This is especially true for multi-domain proteins, ...read more
Artificial intelligence and In Silico Strategies for Novel Target Identification in Alzheimer's Disease
The title "Artificial Intelligence and In Silico Strategies for Novel Target Identification in Alzheimer's Disease" emphasizes the use of Artificial intelligence (AI) and advanced in silico methods to address Alzheimer's disease (AD), a neurodegenerative condition that currently has few effective treatments. AI and insilico methods, including molecular modeling, simulations, are ...read more
Artificial intelligence for Natural Products Discovery and Development
Our approach involves using computational methods to predict the potential therapeutic benefits of natural products by considering factors such as drug structure, targets, and interactions. We also employ multitarget analysis to understand the role of drug targets in disease pathways. We advocate for the use of artificial intelligence in predicting ...read more
- Author Guidelines
- Bentham Author Support Services (BASS)
- Graphical Abstracts
- Fabricating and Stating False Information
- Research Misconduct
- Post Publication Discussions and Corrections
- Publishing Ethics and Rectitude
- Increase Visibility of Your Article
- Archiving Policies
- Peer Review Workflow
- Order Your Article Before Print
- Promote Your Article
- Manuscript Transfer Facility
- Editorial Policies
- Allegations from Whistleblowers
- Announcements
Related Articles
-
Neurological Associations of SARS-CoV-2 Infection: A Systematic Review
CNS & Neurological Disorders - Drug Targets Serum Interleukin-33 as a Biomarker in Predicting Neonatal Sepsis in Premature Infants
Combinatorial Chemistry & High Throughput Screening Covid-19 Prevention and Treatment by Targeting Fc-fusion Proteins: An Experience to Fight Emerging Diseases
Current Molecular Medicine Molecular Modelling and QSAR in the Discovery of HIV-1 Integrase Inhibitors
Current Computer-Aided Drug Design Role of the Cannabinoid System in Pain Control and Therapeutic Implications for the Management of Acute and Chronic Pain Episodes
Current Neuropharmacology New Acridone Inhibitors of Human Herpes Virus Replication
Current Drug Targets - Infectious Disorders Identification of AHSA1 as a Potential Therapeutic Target for Breast Cancer: Bioinformatics Analysis and <i>in vitro</i> Studies
Current Cancer Drug Targets Design, Synthesis, and Anti-tuberculosis Activity of Streptomycin Derivatives
Letters in Drug Design & Discovery Recent Achievements in the Chemistry of 1,2-Diazines
Current Organic Chemistry Modified Hummel-Dreyer Method and Molecular Modeling Studies Identified Nicotinic Acid Analogues as Carbonic Anhydrase III Ligands
Letters in Drug Design & Discovery Computer Aided Drug Design for Combating Diseases (Part-III)
Current Topics in Medicinal Chemistry The hERG Channel and Risk of Drug-Acquired Cardiac Arrhythmia: An Overview
Current Topics in Medicinal Chemistry Recent Advances in the Medicinal Chemistry of Polyamine Toxins
Mini-Reviews in Medicinal Chemistry Design, Synthesis and In Vitro Evaluation of 4-Androstene-3,17-dione/Adenosine Hybrid Compounds as Bisubstrate Inhibitors of Type 3 17β-Hydroxysteroid Dehydrogenase
Medicinal Chemistry Thromboxane Synthase Inhibitors and Thromboxane A2 Receptor Antagonists: A Quantitative Structure Activity Relationships (QSARs) Analysis
Current Medicinal Chemistry Diabetes and COVID-19; a Review of Possible Mechanisms
Current Pharmaceutical Design A Registry-based Audit of a Current Situation of Clinical Research in COVID-19 Using Artificial Intelligence Techniques: A Systematic Review
Coronaviruses Cardiac Metabolism in Myocardial Ischemia
Current Pharmaceutical Design Developments of Polo-like Kinase 1 (Plk1) Inhibitors as Anti-Cancer Agents
Mini-Reviews in Medicinal Chemistry Design and Development of Signal Transduction Inhibitors for Cancer Treatment: Experience and Challenges with Kinase Targets
Current Signal Transduction Therapy





