Lewkiewics2019 - effects of aging on naive T cell populations and diversity

  public model
Model Identifier
BIOMD0000000824
Short description
This model is built by COPASI 4.24(Build197), based on paper: A mathematical model of the effects of aging on naive T-cell population and diversity Authors: Stephanie Lewkiewicz, Yao-li Chuang, Tom Chou 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.
Format
SBML (L2V4)
Related Publication
  • A Mathematical Model of the Effects of Aging on Naive T Cell Populations and Diversity.
  • Lewkiewicz S, Chuang YL, Chou T
  • Bulletin of mathematical biology , 7/ 2019 , Volume 81 , Issue 7 , pages: 2783-2817 , PubMed ID: 31201663
  • Department of Mathematics, UCLA, Los Angeles, CA, 90095-1555, USA.
  • 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.
Contributors
Submitter of the first revision: Szeyi Ng
Submitter of this revision: Szeyi Ng
Modellers: Szeyi Ng

Metadata information

is (2 statements)
BioModels Database MODEL1909260001
BioModels Database BIOMD0000000824

isDescribedBy (1 statement)
PubMed 31201663

hasTaxon (1 statement)
Taxonomy Thymus

hasProperty (4 statements)
Mathematical Modelling Ontology Ordinary differential equation model
NCIt Immunocompetence
NCIt Natural Killer T-Cell
NCIt Aging


Curation status
Curated


Tags

Connected external resources

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Name Description Size Actions

Model files

Lewkiewics2019 - effects of aging on naive T cell populations and diversity.xml SBML L2V4 file for the model 21.12 KB Preview | Download

Additional files

FIg1 unbounded growth.png PNG plot of the model simulation with unbounded growth 21.58 KB Preview | Download
Fig1 population collapse.png PNG plot of the model simulation with Population collapse 26.21 KB Preview | Download
Lewkiewics2019 - effects of aging on naive T cell populations and diversity.cps COPASI 4.24 (Build 197) file for the model 40.59 KB Preview | Download

  • Model originally submitted by : Szeyi Ng
  • Submitted: Sep 26, 2019 10:39:20 AM
  • Last Modified: Sep 26, 2019 10:39:20 AM
Revisions
  • Version: 3 public model Download this version
    • Submitted on: Sep 26, 2019 10:39:20 AM
    • Submitted by: Szeyi Ng
    • With comment: Automatically added model identifier BIOMD0000000824
Legends
: Variable used inside SBML models


Species
Species Initial Concentration/Amount
N

Natural Killer T-Cell
1.0 mmol
myu 0.18 mmol
Reactions
Reactions Rate Parameters
N => ; myu compartment*myu*N []
=> N compartment*gamma gamma = 1.8E10
myu = myu_0+myu_1*N^2/(N^2+K^2) [] K = 1.0E10; myu_1 = 0.04; myu_0 = 0.18
Curator's comment:
(added: 26 Sep 2019, 10:38:37, updated: 26 Sep 2019, 10:38:37)
I used the uploaded COPASI file to reproduce Fig 1 with unbounded growth and population collapse, using COPASI 4.24(Build 197) To reproduce other figures in the publication, please change parameters gamma_0, p, a, K, myu_0, myu_1 accordingly.