Galectin 9 Levels as a Potential Predictor of Intact HIV Reservoir Decay
- PMID: 39207259
- PMCID: PMC11793034
- DOI: 10.1093/infdis/jiae426
Galectin 9 Levels as a Potential Predictor of Intact HIV Reservoir Decay
Abstract
Background: During antiretroviral therapy (ART), the HIV reservoir shows variability, with cells carrying intact genomes decaying faster than those with defective genomes, particularly in the first years. The host factors influencing this decay remain unclear.
Methods: Observational study of 74 PWH on ART, 70 (94.6%) of whom were male. Intact proviruses were measured using the intact proviral DNA assay, and 32 inflammatory cytokines were quantified using Luminex immunoassay. Linear spline models assessed the impact of baseline cytokine levels and their trajectories on intact HIV kinetics over seven years.
Results: Baseline Gal-9 was the strongest predictor, with lower levels predicting faster decay. A 10-fold decrease in baseline Gal-9 correlated with a 45% (95% CI, 14%-84%) greater annual decay of intact HIV genomes. Higher baseline interferon-inducible T-cell α chemoattractant (ITAC), interleukin 17 (IL-17), and macrophage inflammatory protein 1α (MIP-1α) levels also predicted faster decay. Longitudinal increases in MIP-3α and decreases in IL-6 were linked to a 9.5% and 10% faster decay, respectively.
Conclusions: The association between lower baseline Gal-9 and faster intact HIV decay suggests targeting Gal-9 could enhance reservoir reduction. The involvement of MIP-3α and IL-6 highlights a broader cytokine regulatory network, suggesting potential multi-targeted interventions.
Keywords: HIV persistence; HIV reservoir; cytokines; galectin 9; inflammation.
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Conflict of interest statement
Potential conflicts of interest. S. S.-V. reports personal fees from Gilead Sciences, MSD, Mikrobiomik, and Aptatargets; nonfinancial support from ViiV Healthcare and Gilead Sciences; and research grants from MSD and Gilead Sciences outside the submitted work. M. J. P. serves on a data safety and monitoring board for American Gene Technologies. G. M. L. is an employee of and holds equity in Accelevir Diagnostics. All other authors report no potential conflicts. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed.
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- R44 AI124996/AI/NIAID NIH HHS/United States
- R24 AI067039/AI/NIAID NIH HHS/United States
- UM1 AI164560/AI/NIAID NIH HHS/United States
- P30 AI027763/AI/NIAID NIH HHS/United States
- University of California San Francisco
- K23 A137522, K23 AI157875, U24AI143502, R44AI124996/NH/NIH HHS/United States
- U24 AI143502/AI/NIAID NIH HHS/United States
- I4C Collaboratory
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- K23 AI157875/AI/NIAID NIH HHS/United States
- Beat-HIV Collaboratory
- U19 AI096109/AI/NIAID NIH HHS/United States
- amfAR Institute
- AI096109/DARE Collaboratory
- Bill and Melinda Gates Foundation