A mathematical study of CD8+ T cell responses calibrated with human data
John Paul Gosling, Sheeja M. Krishnan, Grant Lythe, Benny Chain,, Cameron MacKay, Carmen Molina-Par\'is

TL;DR
This study employs mathematical modeling and Bayesian inference to analyze human CD8+ T cell responses, revealing that increased clonotypes reduce differentiation divisions, supporting the decreasing potential hypothesis over the increasing potential scenario.
Contribution
It introduces a deterministic mathematical model calibrated with human data to elucidate CD8+ T cell dynamics across compartments, supporting the decreasing potential differentiation hypothesis.
Findings
Decreasing potential hypothesis better fits vaccine data.
More clonotypes lead to fewer divisions for differentiation.
Model integrates lymph node, blood, and skin compartments.
Abstract
Complete understanding of the mechanisms regulating the proliferation and differentiation that takes place during human immune CD8+ T cell responses is still lacking. Human clinical data is usually limited to blood cell counts, yet the initiation of these responses occurs in the draining lymph nodes; antigen-specific effector and memory CD8+ T cells generated in the lymph nodes migrate to those tissues where they are required. We use approximate Bayesian computation with deterministic mathematical models of CD8+ T cell populations (naive, central memory, effector memory and effector) and yellow fever virus vaccine data to infer the dynamics of these CD8+ T cell populations in three spatial compartments: draining lymph nodes, circulation and skin. We have made use of the literature to obtain rates of division and death for human CD8+ T cell population subsets and thymic export rates.…
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Taxonomy
TopicsT-cell and B-cell Immunology · Immunotherapy and Immune Responses · Immune Cell Function and Interaction
