Development of NanoLuc-PEST expressing Leishmania mexicana as a new drug discovery tool for axenic- and intramacrophage-based assays.

PLoS Negl Trop Dis

Centre for Applied Entomology and Parasitology, School of Life Sciences, Keele University, Newcastle-under-Lyme, Staffordshire, United Kingdom.

Published: July 2018

AI Article Synopsis

  • Leishmania, a protozoan parasite, causes leishmaniasis with around 1 million new cases annually, and current treatments are facing challenges like toxicity, cost, and emerging resistance.
  • Developing new therapies is essential, but testing effectiveness against the parasite's intracellular form is complicated due to the limitations of traditional methods.
  • A transgenic L. mexicana cell line with the luciferase NanoLuc-PEST was created, proving to be a more effective and sensitive method for evaluating drug viability, which could also aid in repurposing existing compounds for leishmaniasis treatment.

Article Abstract

The protozoan parasite Leishmania causes leishmaniasis; a spectrum of diseases of which there are an estimated 1 million new cases each year. Current treatments are toxic, expensive, difficult to administer, and resistance to them is emerging. New therapeutics are urgently needed, however, screening the infective amastigote form of the parasite is challenging. Only certain species can be differentiated into axenic amastigotes, and compound activity against these does not always correlate with efficacy against the parasite in its intracellular niche. Methods used to assess compound efficacy on intracellular amastigotes often rely on microscopy-based assays. These are laborious, require specialist equipment and can only determine parasite burden, not parasite viability. We have addressed this clear need in the anti-leishmanial drug discovery process by producing a transgenic L. mexicana cell line that expresses the luciferase NanoLuc-PEST. We tested the sensitivity and versatility of this transgenic strain, in comparison with strains expressing NanoLuc and the red-shifted firefly luciferase. We then compared the NanoLuc-PEST luciferase to the current methods in both axenic and intramacrophage amastigotes following treatment with a supralethal dose of Amphotericin B. NanoLuc-PEST was a more dynamic indicator of cell viability due to its high turnover rate and high signal:background ratio. This, coupled with its sensitivity in the intramacrophage assay, led us to validate the NanoLuc-PEST expressing cell line using the MMV Pathogen Box in a two-step process: i) identify hits against axenic amastigotes, ii) screen these hits using our bioluminescence-based intramacrophage assay. The data obtained from this highlights the potential of compounds active against M. tuberculosis to be re-purposed for use against Leishmania. Our transgenic L. mexicana cell line is therefore a highly sensitive and dynamic system suitable for Leishmania drug discovery in axenic and intramacrophage amastigote models.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6057649PMC
http://dx.doi.org/10.1371/journal.pntd.0006639DOI Listing

Publication Analysis

Top Keywords

drug discovery
12
nanoluc-pest expressing
8
axenic amastigotes
8
transgenic mexicana
8
mexicana cell
8
axenic intramacrophage
8
intramacrophage assay
8
parasite
5
development nanoluc-pest
4
leishmania
4

Similar Publications

Vernonolide A, a Sesquiterpene Lactone with a Unique Carbon Skeleton from .

Org Lett

January 2025

Department of Pharmaceutical Sciences, Daniel K. Inouye College of Pharmacy, University of Hawai'i at Hilo, Hilo, Hawai'i 96720, United States.

A novel sesquiterpene lactone derivative, vernonolide A (), featuring an unprecedented carbon skeleton, along with its plausible biosynthetic precursor, vercinolide I (), and eight known sesquiterpene lactones (-) were isolated and characterized from the whole plants of (L.). The structures of and were elucidated using nuclear magnetic resonance spectroscopic analysis and calculated and experimental electronic circular dichroism spectra.

View Article and Find Full Text PDF

Improving Molecular Design with Direct Inverse Analysis of QSAR/QSPR Model.

Mol Inform

January 2025

Department of Applied Chemistry, School of Science and Technology, Meiji University, 1-1-1 Higashi-Mita, Tama-ku, Kawasaki, Kanagawa 214-8571, Japan.

Recent advances in machine learning have significantly impacted molecular design, notably the molecular generation method combining the chemical variational autoencoder (VAE) with Gaussian mixture regression (GMR). In this method, a mathematical model is constructed with X as the latent variable of the molecule and Y as the target properties and activities. Through direct inverse analysis of this model, it is possible to generate molecules with the desired target properties.

View Article and Find Full Text PDF

Previous studies have suggested that ginsenoside Rg glycine ester derivative (RG) exhibits therapeutic potential in mitigating hypoxia. This study aimed to elucidate the potential mechanism of RG in hypoxia injury through a combined approach of metabolomics and network pharmacology. Initially, a CoCl-induced cell hypoxia model was established, and the therapeutic impact of RG on biochemical indices was evaluated.

View Article and Find Full Text PDF

Roadmap to discovery and early development of an mRNA loaded LNP formulation for liver therapeutic genome editing.

Expert Opin Drug Deliv

January 2025

Advanced Drug Delivery, Pharmaceutical Sciences, R&D, AstraZeneca, Macclesfield, UK.

Introduction: mRNA therapeutics were a niche area in drug development before COVIDvaccines. Now they are used in vaccine development, for non-viral therapeuticgenome editing, chimericantigen receptor T  (CAR T) celltherapies and protein replacement.  mRNAis large, charged, and easily degraded by nucleases.

View Article and Find Full Text PDF

COX-2 Inhibitor Prediction With KNIME: A Codeless Automated Machine Learning-Based Virtual Screening Workflow.

J Comput Chem

January 2025

Pharmaceutical Chemistry Research Laboratory 1, Department of Pharmaceutical Engineering & Technology, Indian Institute of Technology (Banaras Hindu University), Varanasi, India.

Cyclooxygenase-2 (COX-2) is an enzyme that plays a crucial role in inflammation by converting arachidonic acid into prostaglandins. The overexpression of enzyme is associated with conditions such as cancer, arthritis, and Alzheimer's disease (AD), where it contributes to neuroinflammation. In silico virtual screening is pivotal in early-stage drug discovery; however, the absence of coding or machine learning expertise can impede the development of reliable computational models capable of accurately predicting inhibitor compounds based on their chemical structure.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!