bioRxivImmunologyPreprint
Modeling how memory CD8 T cells can elicit post-treatment control of HIV infection
Bharadwaj VemparalaiD, Caroline PassaesiD, Delphine DesjardinsiD, Valérie MonceauxiD, Julien LemaîtreiD, Adeline MélardiD, Caroline CharreiD, Maël GourvèsiD, Nastasia DimantiD, Nathalie Dereuddre‐BosquetiD, Aurélie Barrail‐TraniD, Hélène Gouget, Céline Guillaume, Francis RelouzatiD, Olivier LambotteiD, Michaela C. Müller-TrutwiniD, Christine Rouzioux, Véronique Avettand-FènoëliD, Roger Le GrandiD, Asier Sáez‐CirióniD, Narendra M. DixitiD, Jérémie GuedjiD
- Citations
- 0
Abstract
While most people living with HIV suffer progressive disease following cessation of antiretroviral therapy, a small fraction elicits lasting post-treatment control. Understanding the mechanisms underlying this control is key to devising effective HIV remission strategies. Although recent studies implicate memory CD8 T cells, how these cells establish lasting viremic control remains unknown. Here, we combine mathematical modeling and analysis of data from SIV-infected non-human primates to elucidate the underlying mechanisms. We recognized that sustained antigenic stimulation leads to heritable epigenetic remodeling of the CD8 T cell pool, impairing memory cell survivability. Antiretroviral therapy rapidly suppresses viremia, thereby arresting antigenic stimulation and preserving memory potential. The greater this preservation is, the better would be the memory recall response following viral rebound post-treatment. Our mathematical model based on this hypothesis predicts that post-treatment control is an alternative steady state to progressive infection, realized by strong memory-driven recall responses. Our model fits longitudinal virological data spanning the pre-, during-, and post-antiretroviral treatment phases of infection, and recapitulates the outcomes of progressive disease and long-term remission realized, the latter predominantly with early treatment initiation. It shows, consistently with data, that memory CD8 T cells could drive post-treatment control independently of the size of the latent reservoir, explaining how such control may be realized more widely than estimated with prevalent hypotheses. Our model further explains the existence of a window of treatment initiation times that maximizes the chances of post-treatment control. Finally, model predictions inform interventions targeting memory CD8 T cells for HIV remission.
- organism: non-human primate
- research focus: host-pathogen & immune response
- approach: statistical model
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Models of increased latent HIV reservoir turnover prior to cART initiation imply novel clearance strategies
Aditya Jagarapu, Rajveer Mann, … Ryan Zurakowski·bioRxiv·Jun 6, 2021
- Antiviral capacity of the early CD8 T-cell response is predictive of natural control of SIV infection
B. Vemparala, V. Madelain, … N. M. Dixit·bioRxiv·Oct 13, 2023
- Optimal maturation of the SIV-specific CD8+ T-cell response after primary infection is associated with natural control of SIV. ANRS SIC study
C. Passaes, A. Millet, … A. Saez-Cirion·bioRxiv·Dec 20, 2019
- A mechanistic basis for CD8+ T cell expansion sensitivity as a predictor of HIV post-treatment control
Tin Phan, Nicole Pagane, … Alan S. Perelson·bioRxiv·Sep 1, 2026
- A role for CD4 helper cells in HIV control and progression
I. M. Rouzine·bioRxiv·Dec 20, 2021
- Early exposure to broadly neutralizing antibodies may trigger a dynamical switch from progressive disease to lasting control of SHIV infection
R. Desikan, R. Raja, N. M. Dixit·PLOS Computational BiologyPeer-reviewed·Aug 20, 2020