Evidence map›Paper›PMID 41557738›Full record

ArticlePLoS neglected tropical diseases2026

Untargeted metabolomics for triaging of cytochrome b inhibitors during Chagas' disease drug discovery.

A Kenneth MacLeod, Lindsay B Tulloch, Michele Tinti, Darren Edwards, Susan Wyllie, Kevin D Read

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

A Kenneth MacLeodDrug Discovery Unit, Wellcome Centre for Anti-Infectives Research, School of Life Sciences, University of Dundee, Dundee, United Kingdom.ORCID https://orcid.org/0000-0001-6328-1178
Lindsay B TullochWellcome Centre for Anti-Infectives Research, School of Life Sciences, University of Dundee, Dundee, United Kingdom.
Michele TintiWellcome Centre for Anti-Infectives Research, School of Life Sciences, University of Dundee, Dundee, United Kingdom.
Darren EdwardsDrug Discovery Unit, Wellcome Centre for Anti-Infectives Research, School of Life Sciences, University of Dundee, Dundee, United Kingdom.
Susan WyllieWellcome Centre for Anti-Infectives Research, School of Life Sciences, University of Dundee, Dundee, United Kingdom.
Kevin D ReadDrug Discovery Unit, Wellcome Centre for Anti-Infectives Research, School of Life Sciences, University of Dundee, Dundee, United Kingdom.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Chagas' disease, caused by infection with the protozoan parasite Trypanosoma cruzi, is a potentially fatal condition for which new treatments are urgently needed. Due to the lack of validated drug targets, phenotypic screening followed by target deconvolution is the dominant approach in Chagas' disease drug discovery. However, as most phenotypic screening hits act through a small number of promiscuous targets, implementation of counter-screening methodology for these targets as early as possible in the workflow is essential to enable prioritisation of compounds with novel Modes of Action (MoA). Here, we demonstrate that untargeted metabolomic profiling using liquid chromatography mass spectrometry (LC-MS) can reliably identify compounds that act through one of the most common targets, cytochrome b. Treatment of epimastigote form T. cruzi in culture with cytochrome b inhibitors resulted in rapid and pronounced perturbation of the metabolome. We identified a signature of 79 metabolites that were differentially expressed by at least 2-fold (p < 0.05). Unsupervised multivariate analysis using these features allowed clear separation of cytochrome b inhibitors from compounds acting through other MoA, and through disruption of oxidative phosphorylation by other mechanisms. Flexibility was observed in this cytochrome b signature between experiments, and depending on the compounds used, suggesting that this approach could be readily implemented in other laboratories. Triage of cytochrome b inhibitors early in the Chagas' disease drug discovery workflow using untargeted metabolomics will aid in prioritisation of medicinal chemistry resources towards compounds acting through novel mechanisms.

Indexed as

Chagas DiseaseCytochromes bDrug DiscoveryEnzyme InhibitorsMetabolomicsTrypanosoma cruziAnimalsChromatography, LiquidHumansLiquid Chromatography-Mass SpectrometryMetabolomeCytochromes bEnzyme Inhibitors

Identifiers

PMID41557738
PMCPMC12844530

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.