Metabolic insights into phosphofructokinase inhibition in bloodstream-form trypanosomes

Dysfunctional cardiac energy transduction, mitochondrial oxidative stress, oncogenic and apoptotic signaling in DiNP-induced asthma in murine model

Diisononyl phthalate (DiNP) has been associated with the development of allergies, asthma, and allergic airway inflammation. Through a complex interplay of signals and feedback mechanisms, the lungs communicate with the heart to ensure maintenance of homeostasis and supporting the body's metabolic demands. In the current study, we assessed the crosstalk between DiNP-induced asthma and cardiac cellular respiration, oxidative stress, apoptotic potential, and induction of oncogenic factors. Ten male BALB/c mice with a weight range of 20-30 g were divided into two groups, each comprising five mice. Group 1 (control), was administered saline orally for a duration of 30 days. In contrast, group 2 (DiNP group), received 50 mg/kg of DiNP to induce asthma. After the final administration and asthma induction, the mice were euthanized, and their hearts were excised, processed, and subjected to biochemical analyses. The DiNP group had downregulated (P < 0.05) activities of the enzymes of glycolysis, tricyclic acid cycle, and electron transport chain except the hexokinase and succinate dehydrogenase activity which were upregulate relative to control. Also, oxidative distress markers (GSH, CAT, and MDA and SOD) were also perturbed. Biomarkers of inflammation (MPO and NO) were considerably higher (P < 0.05) in the heart of DiNP-induced asthma mice as compared with the control group. Furthermore, DiNP-induced asthma group has an increased cardiac caspase-3, Bax, c-Myc and K-ras, and p53 while the Bcl2 decreased when compared with control. Overall, the findings indicate that DiNP-induced asthma impairs cardiac functions by induction of key cardiac oncogenes, downregulation of cardiac energy, transduction of enzymes, and promotion of oxidative stress and cellular death.

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 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.