Metabolic insights into HIV/TB co-infection: an untargeted urinary metabolomics approach
-
Published:2024-07-16
Issue:4
Volume:20
Page:
-
ISSN:1573-3890
-
Container-title:Metabolomics
-
language:en
-
Short-container-title:Metabolomics
Author:
Olivier CaraORCID, Luies LanekeORCID
Abstract
Abstract
Introduction
Amid the global health crisis, HIV/TB co-infection presents significant challenges, amplifying the burden on patients and healthcare systems alike. Metabolomics offers an innovative window into the metabolic disruptions caused by co-infection, potentially improving diagnosis and treatment monitoring.
Aim
This study uses untargeted metabolomics to investigate the urinary metabolic signature of HIV/TB co-infection, enhancing understanding of the metabolic interplay between these infections.
Methods
Urine samples from South African adults, categorised into four groups — healthy controls, TB-positive, HIV-positive, and HIV/TB co-infected — were analysed using GCxGC-TOFMS. Metabolites showing significant differences among groups were identified through Kruskal-Wallis and Wilcoxon rank sum tests.
Results
Various metabolites (n = 23) were modulated across the spectrum of health and disease states represented in the cohorts. The metabolomic profiles reflect a pronounced disruption in biochemical pathways involved in energy production, amino acid metabolism, gut microbiome, and the immune response, suggesting a bidirectional exacerbation between HIV and TB. While both diseases independently perturb the host’s metabolism, their co-infection leads to a unique metabolic phenotype, indicative of an intricate interplay rather than a simple additive effect.
Conclusion
Metabolic profiling revealed a unique metabolic landscape shaped by HIV/TB co-infection. The findings highlight the potential of urinary differential metabolites for co-infection, offering a non-invasive tool for enhancing diagnostic precision and tailoring therapeutic interventions. Future research should focus on expanding sample sizes and integrating longitudinal analyses to build upon these foundational insights, paving the way for metabolomic applications in combating these concurrent pandemics.
Funder
North-West University
Publisher
Springer Science and Business Media LLC
Reference62 articles.
1. Aguayo-Cerón, K. A., Sánchez-Muñoz, F., Gutierrez-Rojas, R. A., Acevedo-Villavicencio, L. N., Flores-Zarate, A. V., Huang, F., et al. (2023). Glycine: The smallest anti-inflammatory micronutrient. International Journal of Molecular Sciences, 24(14), 11236. 2. Amalia, F., Syamsunarno, M. R. A., Triatin, R. D., Fatimah, S. N., Chaidir, L., & Achmad, T. H. (2022). The role of amino acids in tuberculosis infection: A Literature Review. Metabolites, 12(10), 933. 3. Badolia, R., Ramadurai, D. K., Abel, E. D., Ferrin, P., Taleb, I., Shankar, T. S., et al. (2020). The role of nonglycolytic glucose metabolism in myocardial recovery upon mechanical unloading and circulatory support in chronic heart failure. Circulation, 142(3), 259–274. 4. Bi, H., Guo, Z., Jia, X., Liu, H., Ma, L., & Xue, L. (2020). The key points in the pre-analytical procedures of blood and urine samples in metabolomics studies. Metabolomics, 16, 1–15. 5. Bisht, M. K., Dahiya, P., Ghosh, S., & Mukhopadhyay, S. (2023). The cause–effect relation of tuberculosis on incidence of diabetes mellitus. Frontiers in Cellular and Infection Microbiology, 13, 1134036.
|
|