Urinary metabolic characterization of advanced tuberculous meningitis cases in a South African paediatric population
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Published version
Author(s)
Type
Journal Article
Abstract
Tuberculous meningitis (TBM) is a severe form of tuberculosis with high neuro-morbidity and mortality, especially among the paediatric population (aged ≤12 years). Little is known of the associated metabolic changes. This study aimed to identify characteristic metabolic markers that differentiate severe cases of paediatric TBM from controls, through non-invasive urine collection. Urine samples selected for this study were from two paediatric groups. Group 1: controls (n = 44): children without meningitis, no neurological symptoms and from the same geographical region as group 2. Group 2: TBM cases (n = 13): collected from paediatric patients that were admitted to Tygerberg Hospital in South Africa on the suspicion of TBM, mostly severely ill; with a later confirmation of TBM. Untargeted 1H NMR-based metabolomics data of urine were generated, followed by statistical analyses via MetaboAnalyst (v5.0), and the identification of important metabolites. Twenty nine urinary metabolites were identified as characteristic of advanced TBM and categorized in terms of six dysregulated metabolic pathways: 1) upregulated tryptophan catabolism linked to an altered vitamin B metabolism; 2) perturbation of amino acid metabolism; 3) increased energy production–metabolic burst; 4) disrupted gut microbiota metabolism; 5) ketoacidosis; 6) increased nitrogen excretion. We also provide original biological insights into this biosignature of urinary metabolites that can be used to characterize paediatric TBM patients in a South African cohort.
Date Issued
2024-03-15
Date Acceptance
2024-02-20
Citation
Frontiers in Molecular Biosciences, 2024, 11
ISSN
2296-889X
Publisher
Frontiers Media S.A.
Journal / Book Title
Frontiers in Molecular Biosciences
Volume
11
Copyright Statement
© 2024 Isaiah, Loots, van Reenen, Solomons, van Elsland, Tutu van Furth, van der Kuip and Mason. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
License URL
Identifier
http://dx.doi.org/10.3389/fmolb.2024.1253983
Publication Status
Published
Article Number
1253983
Date Publish Online
2024-03-15