First comprehensive untargeted metabolomics study of suramin-treated Trypanosoma brucei: an integrated data analysis workflow from multifactor data modelling to functional analysis
Introduction Human African trypanosomiasis, commonly known as sleeping sickness, is a vector-borne parasitic disease prevalent in sub-Saharan Africa and transmitted by the tsetse fly. Suramin, a medication with a long history of clinical use, has demonstrated varied modes of action against Trypanoso...
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Published in | Metabolomics Vol. 20; no. 2; p. 25 |
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Main Authors | , , , , , , , , |
Format | Journal Article Web Resource |
Language | English |
Published |
New York
Springer US
23.02.2024
Springer Nature B.V Springer |
Subjects | |
Online Access | Get full text |
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Summary: | Introduction
Human African trypanosomiasis, commonly known as sleeping sickness, is a vector-borne parasitic disease prevalent in sub-Saharan Africa and transmitted by the tsetse fly. Suramin, a medication with a long history of clinical use, has demonstrated varied modes of action against
Trypanosoma brucei
. This study employs a comprehensive workflow to investigate the metabolic effects of suramin on
T. brucei
, utilizing a multimodal metabolomics approach.
Objectives
The primary aim of this study is to comprehensively analyze the metabolic impact of suramin on
T. brucei
using a combined liquid chromatography-mass spectrometry (LC–MS) and nuclear magnetic resonance spectroscopy (NMR) approach. Statistical analyses, encompassing multivariate analysis and pathway enrichment analysis, are applied to elucidate significant variations and metabolic changes resulting from suramin treatment.
Methods
A detailed methodology involving the integration of high-resolution data from LC–MS and NMR techniques is presented. The study conducts a thorough analysis of metabolite profiles in both suramin-treated and control
T. brucei brucei
samples. Statistical techniques, including ANOVA-simultaneous component analysis (ASCA), principal component analysis (PCA), ANOVA 2 analysis, and bootstrap tests, are employed to discern the effects of suramin treatment on the metabolomics outcomes.
Results
Our investigation reveals substantial differences in metabolic profiles between the control and suramin-treated groups. ASCA and PCA analysis confirm distinct separation between these groups in both MS-negative and NMR analyses. Furthermore, ANOVA 2 analysis and bootstrap tests confirmed the significance of treatment, time, and interaction effects on the metabolomics outcomes. Functional analysis of the data from LC–MS highlighted the impact of treatment on amino-acid, and amino-sugar and nucleotide-sugar metabolism, while time effects were observed on carbon intermediary metabolism (notably glycolysis and di- and tricarboxylic acids of the succinate production pathway and tricarboxylic acid (TCA) cycle).
Conclusion
Through the integration of LC–MS and NMR techniques coupled with advanced statistical analyses, this study identifies distinctive metabolic signatures and pathways associated with suramin treatment in
T. brucei
. These findings contribute to a deeper understanding of the pharmacological impact of suramin and have the potential to inform the development of more efficacious therapeutic strategies against African trypanosomiasis. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 scopus-id:2-s2.0-85185865875 |
ISSN: | 1573-3890 1573-3882 1573-3890 |
DOI: | 10.1007/s11306-024-02094-2 |