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A Mathematical Model of the Effects of Aging on Naive T Cell Populations and Diversity
- Source :
- Bulletin of Mathematical Biology. 81:2783-2817
- Publication Year :
- 2019
- Publisher :
- Springer Science and Business Media LLC, 2019.
-
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.
- Subjects :
- 0301 basic medicine
Aging
Naive T cell
Immunosenescence
T-Lymphocytes
General Mathematics
T cell
Immunology
Population
Receptors, Antigen, T-Cell
Biology
General Biochemistry, Genetics and Molecular Biology
03 medical and health sciences
0302 clinical medicine
Antigen
medicine
Humans
Computer Simulation
education
Cell Proliferation
General Environmental Science
Pharmacology
education.field_of_study
General Neuroscience
T-cell receptor
Models, Immunological
Mathematical Concepts
Acquired immune system
030104 developmental biology
medicine.anatomical_structure
Computational Theory and Mathematics
030220 oncology & carcinogenesis
General Agricultural and Biological Sciences
Diversity (business)
Subjects
Details
- ISSN :
- 15229602 and 00928240
- Volume :
- 81
- Database :
- OpenAIRE
- Journal :
- Bulletin of Mathematical Biology
- Accession number :
- edsair.doi.dedup.....787943399f92e5f022e66fc7b6b65583