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Alterations in circulating immunoregulatory proteins discriminate poor CD4 T lymphocyte trajectories in people with HIV on suppressive antiretroviral therapy
Division of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, New York, New York, USA.ORCID iD: 0000-0002-7773-3240
Division of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, New York, New York, USA.
School of Medicine, University of Texas Medical Branch, Galveston, Texas, USA.
Division of Infectious Diseases and Global Public Health, Department of Medicine, University of California San Diego, San Diego, California, USA.
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2024 (English)In: mBio, ISSN 2161-2129, E-ISSN 2150-7511, Vol. 15, no 10, article id e0226524Article in journal (Refereed) Published
Abstract [en]

Despite the success in the management of HIV with antiretroviral therapy (ART), people with HIV (PWH) have a heightened state of immune activation and inflammation, and an estimated 10%-40% demonstrate poor CD4 T-cell reconstitution, thereby increasing their mortality and morbidity risk burden. Soluble immunoregulatory proteins that function in lymphocyte activation or inhibition are elevated in PWH and associate with T-cell dysfunction, HIV persistence, and are predictive of comorbid outcomes. Here, we measured a panel of 35 circulating immunoregulatory proteins in 116 PWH with variations in CD4 T-cell counts (poor CD4 trajectory: <200 cells/μl, n = 34 or immune competent: CD4 >500 cells/μl, n = 82) by Luminex. Participants were enrolled in the AIDS Clinical Trials Group Longitudinal Linked Randomized Trials cohort, had initiated ART on enrollment, and had been on suppressive ART for 1 year. Using non-parametric analysis, we found that the levels of CD276, ICOSL, BAFF, OX40, galectin-1, and galectin-9 were significantly higher in PWH with poor CD4 trajectories compared to individuals with immune-competent CD4 T-cell count. Notably, in logistic models, ICOSL and OX40 remained significant after adjusting for age and baseline plasma HIV RNA. Furthermore, Extreme Gradient Boosting machine learning models comprising co-stimulatory and inhibitory checkpoint proteins yielded high accuracy in classification of individuals with poor CD4 trajectories. In summary, we identified a novel signature of circulating immunoregulatory proteins indicative of poor CD4 trajectories that may serve as potential targets to monitor and manage immune perturbations more accurately in PWH during suppressive ART.

Importance: It is essential to track immune perturbations related to insufficient CD4 T-cell recovery in PWH on suppressive ART as those with incomplete reconstitution are at a greater risk of non-AIDS-related morbidity and mortality. Several inflammatory soluble mediators have associated with poor immune reconstitution and adverse morbid outcomes in PWH, yet their implementation into routine clinical care to guide management remains inconsistent. Circulating immune checkpoint proteins have been linked to dysregulated immune pathways during suppressive ART and may serve as improved surrogate markers of clinical relevance. Here we investigate soluble lymphocyte-associated immunoregulatory proteins in virally suppressed PWH with no reported co-morbid outcomes and varying CD4 T-cell counts, to reveal underlying pathways that remain perturbed despite ART. This novel signature of immunoregulatory markers pertaining to poor CD4 T-cell trajectories uncover previously overlooked immune checkpoints as important targets for clinical monitoring of PWH in the setting of durable viral suppression by ART.

Place, publisher, year, edition, pages
American Society for Microbiology, 2024. Vol. 15, no 10, article id e0226524
Keywords [en]
CD4 lymphocytes; HIV pathogenesis, composite biomarkers, immune checkpoints, immune reconstitution, machine learning
National Category
Immunology in the medical area Public Health, Global Health and Social Medicine Infectious Medicine
Identifiers
URN: urn:nbn:se:umu:diva-232854DOI: 10.1128/mbio.02265-24PubMedID: 39287441Scopus ID: 2-s2.0-85206958653OAI: oai:DiVA.org:umu-232854DiVA, id: diva2:1920595
Available from: 2024-12-12 Created: 2024-12-12 Last updated: 2025-02-20Bibliographically approved

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Moar, Preeti

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Moar, PreetiNdhlovu, Lishomwa C.Premeaux, Thomas A.
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