Abstract

Cytotoxic T lymphocytes (CTLs) have been suggested to play an important role in controlling human immunodeficiency virus (HIV-1 or simply HIV) infection. HIV, due to its high mutation rate, can evade recognition of T cell responses by generating escape variants that cannot be recognized by HIV-specific CTLs. Although HIV escape from CTL responses has been well documented, factors contributing to the timing and the rate of viral escape from T cells have not been fully elucidated. Fitness costs associated with escape and magnitude of the epitope-specific T cell response are generally considered to be the key in determining timing of HIV escape. Several previous analyses generally ignored the kinetics of T cell responses in predicting viral escape by either considering constant or maximal T cell response; several studies also considered escape from different T cell responses to be independent. Here, we focus our analysis on data from two patients from a recent study with relatively frequent measurements of both virus sequences and HIV-specific T cell response to determine impact of CTL kinetics on viral escape. In contrast with our expectation, we found that including temporal dynamics of epitope-specific T cell response did not improve the quality of fit of different models to escape data. We also found that for well-sampled escape data, the estimates of the model parameters including T cell killing efficacy did not strongly depend on the underlying model for escapes: models assuming independent, sequential, or concurrent escapes from multiple CTL responses gave similar estimates for CTL killing efficacy. Interestingly, the model assuming sequential escapes (i.e., escapes occurring along a defined pathway) was unable to accurately describe data on escapes occurring rapidly within a short-time window, suggesting that some of model assumptions must be violated for such escapes. Our results thus suggest that the current sparse measurements of temporal CTL dynamics in blood bear little quantitative information to improve predictions of HIV escape kinetics. More frequent measurements using more sensitive techniques and sampling in secondary lymphoid tissues may allow to better understand whether and how CTL kinetics impacts viral escape.

Highlights

  • In 2014, the number of people living with human immunodeficiency virus 1 (HIV-1 or HIV) was estimated as 36.9 million [1], with roughly 2 million new HIV infections and 1.2 million people dead of HIV-induced diseases (AIDS) [2]

  • Recent studies suggested that a relative magnitude of the CD8+ T lymphocyte (CTL) response plays an important role in determining the time of viral escape from T cell responses [11, 12]

  • The pathways of HIV escape from CTL responses were not fully resolved as escapes occurring sequentially and CTL Dynamics and Viral Escape C

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Summary

Introduction

In 2014, the number of people living with human immunodeficiency virus 1 (HIV-1 or HIV) was estimated as 36.9 million [1], with roughly 2 million new HIV infections and 1.2 million people dead of HIV-induced diseases (AIDS) [2]. HIV is able to generate mutants (termed “CTL escape mutants”) that are not recognized by HIV-specific T cells, which may be one of the reasons for failure of T cell based vaccines [8,9,10]. To understand the timing and kinetics of CTL escape in HIV/SIV infection, mathematical models have been proposed previously on the dynamics of viral escape from a single CTL response [17, 18, 23,24,25,26]), many of these studies involved only model simulations and did not use information on the actual kinetics of HIV-specific CTL responses in predicting viral escape Even though several models have been developed to describe the dynamics of escapes from multiple CTL responses (e.g., Ref. [17, 18, 23,24,25,26]), many of these studies involved only model simulations and did not use information on the actual kinetics of HIV-specific CTL responses in predicting viral escape

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