# Multiscale physiologically-based model of age-dependent CD4+ T-lymphocyte homeostasis

**Authors:** Victoria Kulesh, Kirill Peskov, Gabriel Helmlinger, Gennady Bocharov

PMC · DOI: 10.3389/fimmu.2026.1742817 · Frontiers in Immunology · 2026-02-04

## TL;DR

This paper creates a detailed model of how CD4+ T-cells maintain balance in the body over a lifetime, including how aging affects these cells.

## Contribution

A novel multiscale model of CD4+ T-lymphocyte homeostasis integrating maturation, differentiation, migration, and age-related changes.

## Key findings

- Age-related shifts in proliferation, differentiation, and survival of CD4+ T-cell subpopulations are key determinants of immune homeostasis.
- Thymocyte and naïve cell homeostasis drive early differentiation, while clonal expansion maintains memory and effector cells.
- Increased naïve T-cell proliferation and reduced RTE death partially compensate for thymic loss but fail to restore CD4+ T-cell counts after thymectomy.

## Abstract

To develop a mechanistic physiologically-based model describing CD4+ T-lymphocyte homeostasis across the human lifespan, incorporating maturation, differentiation, migration aspects and the impact of age on distinct cell subpopulations.

A stepwise modeling approach was implemented by integrating published quantitative data on CD4+ T-cell concentration in blood and various tissues for narrowly defined age ranges, together with experimental kinetic parameters. The homeostatic CD4+ T-lymphocyte kinetics model was represented as a system of ordinary differential equations for four thymocyte subpopulations and six CD4+ T-lymphocyte subpopulations, incorporating five physiological compartments: the thymus, blood, lymphoid tissue, the gastro-intestinal tract, and lung tissue. A series of empirical functions was sequentially tested to describe age-related changes in homeostasis. Reciprocal cellular feedback functions were assessed for incorporation in the model, as an alternative to age-dependent functions. An extensive set of model evaluations was performed, including model validation on total and memory CD4+ T-cell concentrations, simulations of homeostasis perturbations following thymectomy, and global sensitivity analysis, to determine the processes most influential in shaping CD4+ T-cell homeostasis.

Age-related shifts in proliferation of naïve and activated cells, differentiation of memory subsets, survival of recent thymic emigrants (RTE) and migration aspects of CD4+ T-cells – together with reduced thymic output – were identified as key determinants of immune homeostasis. Sensitivity analyses showed that thymocyte and naïve cell homeostasis drives early differentiation stages, whereas clonal expansion dominates memory and effector cell maintenance, with the influence of all processes declining with age. Although increased naïve T-cell proliferation and reduced RTE death may partially compensate for thymic loss, these mechanisms are insufficient to restore long-term CD4+ T-cell counts after thymectomy.

By unifying diverse clinical and experimental observations within a multiscale mechanistic quantitative framework, the proposed model offers a robust tool for predicting CD4+ T-cell dynamics and assessing the impact of physiological changes or interventions on immune homeostasis.

## Full-text entities

- **Genes:** CD4 (CD4 molecule) [NCBI Gene 920] {aka CD4mut, IMD79, Leu-3, OKT4D, T4}, CD8A (CD8 subunit alpha) [NCBI Gene 925] {aka CD8, CD8alpha, IMD116, Leu2, p32}, IL-7R [NCBI Gene 101268945], Cd4 (CD4 antigen) [NCBI Gene 12504] {aka L3T4, Ly-4}, CD4 [NCBI Gene 100136285], PTPRC (protein tyrosine phosphatase receptor type C) [NCBI Gene 5788] {aka B220, CD45, CD45R, GP180, IMD105, L-CA}, chemokine receptor [NCBI Gene 100136631]
- **Diseases:** myasthenia gravis (MESH:D009157), HIV (MESH:D015658), thymomas (MESH:D013945), EM (MESH:C000722498), infection (MESH:D007239), hematological oncological diseases (MESH:D006402), Death (MESH:D003643), SCM (MESH:D016399), chronic infections (MESH:D000088562), TES (MESH:C536905), autoimmune (MESH:D001327), AIDS (MESH:D000163), lymphocytopenia (MESH:D008231), solid tumors (MESH:D009369), inflammation (MESH:D007249)
- **Chemicals:** steroid (MESH:D013256), deuterium (MESH:D003903), deuterated glucose (-), BrdU (MESH:D001973)
- **Species:** gut metagenome (species) [taxon 749906], Homo sapiens (human, species) [taxon 9606], Human immunodeficiency virus (species) [taxon 12721], Human immunodeficiency virus 1 (no rank) [taxon 11676], Mus musculus (house mouse, species) [taxon 10090]

## Full text

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## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12914733/full.md

## References

86 references — full list in the complete paper: https://tomesphere.com/paper/PMC12914733/full.md

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Source: https://tomesphere.com/paper/PMC12914733