Evidence map›Paper›PMID 41992151›Full record

ArticleBMC infectious diseases2026

Characterising the urinary metabolome in HIV/TB coinfection and the impact of antiretroviral treatment.

Bianca Allen, Robin Wood, Laneke Luies

Abstract read
In one paragraph

Article in BMC infectious diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Bianca AllenBiomedical and Molecular Metabolism Research Group, North-West University, Potchefstroom Campus, Private Bag X6001, Box 269, Potchefstroom, 2520, South Africa.ORCID https://orcid.org/0000-0002-5484-129X
Robin WoodDesmond Tutu HIV Centre, Institute for Infectious Disease and Molecular Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.ORCID https://orcid.org/0000-0002-4276-7117
Laneke LuiesBiomedical and Molecular Metabolism Research Group, North-West University, Potchefstroom Campus, Private Bag X6001, Box 269, Potchefstroom, 2520, South Africa. laneke.luies@nwu.ac.za.ORCID https://orcid.org/0000-0003-4920-4090

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHIV/TB coinfection poses significant challenges due to complex interactions between both pathogens and the metabolic disruptions they induce. Although antiretroviral treatment (ART) has transformed disease management, its impact on metabolism is not fully understood. Metabolomics offers an in-depth approach to explore the metabolic changes in this coinfected population, providing information into disease mechanisms and the effects of ART.

methodsThis exploratory study used untargeted urine gas chromatography mass spectrometry metabolomics to profile metabolic alterations in treatment-naïve HIV/TB coinfected patients and those on ART. Healthy controls were included for comparison. Metabolite changes were analysed using univariate statistical methods, including Kruskal-Wallis tests and pairwise comparisons, to identify key metabolites associated with coinfection and ART.

resultsFindings revealed significant disruptions in several metabolic pathways. Mitochondrial dysfunction was evident, contributing to altered lipid metabolism, impaired energy production, and increased cardiovascular risk. Disruptions in glucose metabolism, including compromised insulin secretion, were observed, alongside evidence of gut dysbiosis linked to inflammation and microbial imbalance. These metabolic disturbances were also associated with increased oxidative stress, reflected in changes to protein metabolism and the development of cachexia. Although ART partially alleviated some metabolic alterations, disruptions remained evident in treated patients.

conclusionThis study provides a comprehensive view of the metabolic disturbances in HIV/TB coinfection and the impact of ART. Our findings suggest that persistent mitochondrial dysfunction, altered lipid metabolism, and gut dysbiosis contribute to ongoing metabolic imbalances, underscoring the need for targeted therapeutic strategies to address these challenges.

Indexed as

Anti-Retroviral AgentsCoinfectionHIV InfectionsMetabolomeTuberculosisAdultAnti-HIV AgentsFemaleGas Chromatography-Mass SpectrometryHumansMaleMetabolomicsMiddle AgedAnti-HIV AgentsAnti-Retroviral AgentsAntiretroviral therapy (ART)Exploratory researchGas chromatography mass spectrometry (GC-MS)HIV/TB coinfectionMetabolomicsUrine

Identifiers

PMID41992151
PMCPMC13214072

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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.