Dictyosteliumdiscoideum–Mycobacterium marinum infection model: a powerful high-throughput screening platform for anti-infective compounds

Tuberculosis is among the world's deadliest diseases, causing approximately 2 million deaths annually. The urgent need for new antitubercular drugs has been intensified by the rise of drug-resistant strains. Despite recent advancements, most hits identified through traditional target-based screening approaches exhibit limited efficacy <i>in vivo</i>. Consequently, there is a growing demand for whole-cell-based approaches that utilize host-pathogen systems directly. The <i>Dictyostelium discoideum</i>-<i>Mycobacterium marinum</i> host-pathogen system is a well-established and powerful alternative model system for studying mycobacterial infections. In this article, we present a phenotypic host-pathogen assay protocol that monitors <i>M. marinum</i> during infection of the amoeba <i>D. discoideum</i>. This assay is characterized by its scalability for high-throughput screening, robustness, and ease of manipulation, making it an effective system for compound screening. Notably, this system provides dual readouts: bacterial load via a bioluminescent <i>M. marinum</i> strain and host survival and growth via a fluorescent <i>D. discoideum</i> strain, enabling further host characterization by quantifying growth inhibition and potential cytotoxicity. Finally, the assay was benchmarked against selected antibiotics and anti-infectives, and IC<sub>50</sub>s and MIC values were calculated where applicable, demonstrating its ability to differentiate between antibiotics and anti-infective compounds.

Authors

Institutions

Publication Details

Journal
Frontiers in Microbiology
Published
2025-07-04
DOI
https://doi.org/10.3389/fmicb.2025.1612354
Citations
4
Primary Topic
Mycobacterium research and diagnosis
Type
article
Field-Weighted Citation Impact
5.42

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dictyosteliumdiscoideum–Mycobacterium marinum infection model: a powerful high-throughput screening platform for anti-infective compounds

Thierry Soldati, Jahn Nitschke, Nabil Hanna
4 citations
Frontiers in Microbiology
Mycobacterium research and diagnosis
5.42
article

Dictyosteliumdiscoideum–Mycobacterium marinum infection model: a powerful high-throughput screening platform for anti-infective compounds

Thierry Soldati, Jahn Nitschke, Nabil Hanna
article en
4 citations

Abstract

Tuberculosis is among the world's deadliest diseases, causing approximately 2 million deaths annually. The urgent need for new antitubercular drugs has been intensified by the rise of drug-resistant strains. Despite recent advancements, most hits identified through traditional target-based screening approaches exhibit limited efficacy <i>in vivo</i>. Consequently, there is a growing demand for whole-cell-based approaches that utilize host-pathogen systems directly. The <i>Dictyostelium discoideum</i>-<i>Mycobacterium marinum</i> host-pathogen system is a well-established and powerful alternative model system for studying mycobacterial infections. In this article, we present a phenotypic host-pathogen assay protocol that monitors <i>M. marinum</i> during infection of the amoeba <i>D. discoideum</i>. This assay is characterized by its scalability for high-throughput screening, robustness, and ease of manipulation, making it an effective system for compound screening. Notably, this system provides dual readouts: bacterial load via a bioluminescent <i>M. marinum</i> strain and host survival and growth via a fluorescent <i>D. discoideum</i> strain, enabling further host characterization by quantifying growth inhibition and potential cytotoxicity. Finally, the assay was benchmarked against selected antibiotics and anti-infectives, and IC<sub>50</sub>s and MIC values were calculated where applicable, demonstrating its ability to differentiate between antibiotics and anti-infective compounds.

Frontiers in MicrobiologyVol. 16
University of Geneva (CH)
National Science Foundation, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Université de Genève
Openalex Percentile: Top 4%
Mycobacterium research and diagnosis
5.42
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.