Antiviral capacity of the early CD8 T-cell response is predictive of natural control of SIV infection: Learning in vivo dynamics using ex vivo data

While most individuals suffer progressive disease following HIV infection, a small fraction spontaneously controls the infection. Although CD8 T-cells have been implicated in this natural control, their mechanistic roles are yet to be established. Here, we combined mathematical modeling and analysis of previously published data from 16 SIV-infected macaques, of which 12 were natural controllers, to elucidate the role of CD8 T-cells in natural control. For each macaque, we considered, in addition to the canonical in vivo plasma viral load and SIV DNA data, longitudinal ex vivo measurements of the virus suppressive capacity of CD8 T-cells. Available mathematical models do not allow analysis of such combined in vivo-ex vivo datasets. We explicitly modeled the ex vivo assay, derived analytical approximations that link the ex vivo measurements with the in vivo effector function of CD8-T cells, and integrated them with an in vivo model of virus dynamics, thus developing a new learning framework that enabled the analysis. Our model fit the data well and estimated the recruitment rate and/or maximal killing rate of CD8 T-cells to be up to 2-fold higher in controllers than non-controllers (p = 0.013). Importantly, the cumulative suppressive capacity of CD8 T-cells over the first 4-6 weeks of infection was associated with virus control (Spearman's ρ = -0.51; p = 0.05). Thus, our analysis identified the early cumulative suppressive capacity of CD8 T-cells as a predictor of natural control. Furthermore, simulating a large virtual population, our model quantified the minimum capacity of this early CD8 T-cell response necessary for long-term control. Our study presents new, quantitative insights into the role of CD8 T-cells in the natural control of HIV infection and has implications for remission strategies.

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Publication Details

Journal
PLoS Computational Biology
Published
2024-09-10
DOI
https://doi.org/10.1371/journal.pcbi.1012434
Citations
5
Primary Topic
HIV Research and Treatment
Type
article
Field-Weighted Citation Impact
1.47

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article

Antiviral capacity of the early CD8 T-cell response is predictive of natural control of SIV infection: Learning in vivo dynamics using ex vivo data

Nathalie Dereuddre‐Bosquet, Narendra M. Dixit, Caroline Passaes, Bharadwaj Vemparala et al.
5 citations
PLoS Computational Biology
HIV Research and Treatment
1.47
article

Antiviral capacity of the early CD8 T-cell response is predictive of natural control of SIV infection: Learning in vivo dynamics using ex vivo data

Nathalie Dereuddre‐Bosquet, Narendra M. Dixit, Caroline Passaes, Bharadwaj Vemparala, Véronique Avettand-Fènoël, Roger Le Grand, Vincent Madelain, Ramsès Djidjou‐Demasse, Asier Sáez‐Cirión, Bruno Vaslin, Jérémie Guedj, Antoine Millet, Christine Rouzioux
article en
5 citations

Abstract

While most individuals suffer progressive disease following HIV infection, a small fraction spontaneously controls the infection. Although CD8 T-cells have been implicated in this natural control, their mechanistic roles are yet to be established. Here, we combined mathematical modeling and analysis of previously published data from 16 SIV-infected macaques, of which 12 were natural controllers, to elucidate the role of CD8 T-cells in natural control. For each macaque, we considered, in addition to the canonical in vivo plasma viral load and SIV DNA data, longitudinal ex vivo measurements of the virus suppressive capacity of CD8 T-cells. Available mathematical models do not allow analysis of such combined in vivo-ex vivo datasets. We explicitly modeled the ex vivo assay, derived analytical approximations that link the ex vivo measurements with the in vivo effector function of CD8-T cells, and integrated them with an in vivo model of virus dynamics, thus developing a new learning framework that enabled the analysis. Our model fit the data well and estimated the recruitment rate and/or maximal killing rate of CD8 T-cells to be up to 2-fold higher in controllers than non-controllers (p = 0.013). Importantly, the cumulative suppressive capacity of CD8 T-cells over the first 4-6 weeks of infection was associated with virus control (Spearman's ρ = -0.51; p = 0.05). Thus, our analysis identified the early cumulative suppressive capacity of CD8 T-cells as a predictor of natural control. Furthermore, simulating a large virtual population, our model quantified the minimum capacity of this early CD8 T-cell response necessary for long-term control. Our study presents new, quantitative insights into the role of CD8 T-cells in the natural control of HIV infection and has implications for remission strategies.

PLoS Computational BiologyVol. 20(9)
Centre National de la Recherche Scientifique (FR), Inserm (FR), Institut Pasteur (FR), Université de Montpellier (FR), Université Paris Cité (FR), Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR), Université Paris-Saclay (FR), Maladies Infectieuses et Vecteurs: Écologie, Génétique, Évolution et Contrôle (FR), CEA Paris-Saclay (FR), Infectious Disease Models and Innovative Therapies (FR), Institut Cochin (FR), Institut de Recherche pour le Développement (FR), Indian Institute of Science Bangalore (IN)
Gilead Sciences, Agence Nationale de la Recherche, Indo-French Centre for the Promotion of Advanced Research, National Institutes of Health, National Institute of Allergy and Infectious Diseases, MSDAVENIR
Good health and well-being
Openalex Percentile: Top 18%
HIV Research and Treatment
1.47
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