ArticlePLoS pathogens2024
HIV co-infection is associated with reduced Mycobacterium tuberculosis transmissibility in sub-Saharan Africa.
Article in PLoS pathogens, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Towards ending tuberculosis in South Africa: an uncertainty analysis of the programmes and factors most critical to future declines.Global health action · 2026Article
- Pathogenesis of Tuberculosis: Interplay Between Host Antituberculosis Immunity and Immune Evasion Strategies ofMedComm · 2026Review
- The impact of treatment accessibility on HIV-TB co-infection: a comparative fractional-order modeling approach.BMC infectious diseases · 2026Article
- Explainable machine learning for predicting clinical outcomes in HIV/TB co-infection: a comparative retrospective study.BMC infectious diseases · 2025Article
- Molecular Epidemiology ofMicroorganisms · 2025Review
- Infection with Mycobacterium tuberculosis alters the antibody response to HIV-1.PLoS pathogens · 2025Article
- Association of Mycobacterium tuberculosis aerosolization and HIV coinfection in the index case with T cell responses in household contacts.Scientific reports · 2025Article
- Population structure and emergence of resistance to new and repurposed drugs in XDR-TB: insights from a 10-year genomic study in the Western Cape, South Africa review.Frontiers in cellular and infection microbiology · 2025Article
- Household contact antigen-speciResearch square · 2024Article
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Persons living with HIV are known to be at increased risk of developing tuberculosis (TB) disease upon infection with Mycobacterium tuberculosis (Mtb). However, it has remained unclear how HIV co-infection affects subsequent Mtb transmission from these patients. Here, we customized a Bayesian phylodynamic framework to estimate the effects of HIV co-infection on the Mtb transmission dynamics from sequence data. We applied our model to four Mtb genomic datasets collected in sub-Saharan African countries with a generalized HIV epidemic. Our results confirm that HIV co-infection is a strong risk factor for developing active TB. Additionally, we demonstrate that HIV co-infection is associated with a reduced effective reproductive number for TB. Stratifying the population by CD4+ T-cell count yielded similar results, suggesting that, in this context, CD4+ T-cell count is not a better predictor of Mtb transmissibility than HIV infection status alone. Together, our genome-based analyses complement observational household contact studies, and more firmly establish the negative association between HIV co-infection and Mtb transmissibility.
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Registered trials
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