A Mathematical Model of the Effects of Aging on Naive T Cell Populations and Diversity

Bull Math Biol. 2019 Jul;81(7):2783-2817. doi: 10.1007/s11538-019-00630-z. Epub 2019 Jun 14.

Abstract

The human adaptive immune response is known to weaken in advanced age, resulting in increased severity of pathogen-born illness, poor vaccine efficacy, and a higher prevalence of cancer in the elderly. Age-related erosion of the T cell compartment has been implicated as a likely cause, but the underlying mechanisms driving this immunosenescence have not been quantitatively modeled and systematically analyzed. T cell receptor diversity, or the extent of pathogen-derived antigen responsiveness of the T cell pool, is known to diminish with age, but inherent experimental difficulties preclude accurate analysis on the full organismal level. In this paper, we formulate a mechanistic mathematical model of T cell population dynamics on the immunoclonal subpopulation level, which provides quantitative estimates of diversity. We define different estimates for diversity that depend on the individual number of cells in a specific immunoclone. We show that diversity decreases with age primarily due to diminished thymic output of new T cells and the resulting overall loss of small immunoclones.

Keywords: Aging; Diversity; Immunosenescence; T cell; Thymus.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Aging / immunology*
  • Aging / pathology
  • Cell Proliferation
  • Computer Simulation
  • Humans
  • Immunosenescence / immunology*
  • Mathematical Concepts
  • Models, Immunological*
  • Receptors, Antigen, T-Cell / immunology
  • T-Lymphocytes / classification
  • T-Lymphocytes / cytology
  • T-Lymphocytes / immunology*

Substances

  • Receptors, Antigen, T-Cell