title: Lifelong dynamics of human CD4+CD25+ regulatory T cells: insights from in vivo data and mathematical modeling.
abstract: Despite their limited proliferation capacity, regulatory T cells (T(regs)) constitute a population maintained over the entire lifetime of a human organism. The means by which T(regs) sustain a stable pool in vivo are controversial. Using a mathematical model, we address this issue by evaluating several biological scenarios of the origins and the proliferation capacity of two subsets of T(regs): precursor CD4(+)CD25(+)CD45RO(-) and mature CD4(+)CD25(+)CD45RO(+) cells. The lifelong dynamics of T(regs) are described by a set of ordinary differential equations, driven by a stochastic process representing the major immune reactions involving these cells. The model dynamics are validated using data from human donors of different ages. Analysis of the data led to the identification of two properties of the dynamics: (1) the equilibrium in the CD4(+)CD25(+)FoxP3(+)T(regs) population is maintained over both precursor and mature T(regs) pools together, and (2) the ratio between precursor and mature T(regs) is inverted in the early years of adulthood. Then, using the model, we identified three biologically relevant scenarios that have the above properties: (1) the unique source of mature T(regs) is the antigen-driven differentiation of precursors that acquire the mature profile in the periphery and the proliferation of T(regs) is essential for the development and the maintenance of the pool; there exist other sources of mature T(regs), such as (2) a homeostatic density-dependent regulation or (3) thymus- or effector-derived T(regs), and in both cases, antigen-induced proliferation is not necessary for the development of a stable pool of T(regs). This is the first time that a mathematical model built to describe the in vivo dynamics of regulatory T cells is validated using human data. The application of this model provides an invaluable tool in estimating the amount of regulatory T cells as a function of time in the blood of patients that received a solid organ transplant or are suffering from an autoimmune disease.
authors.affiliation: Laboratory for Computer Communications and Applications, Ecole Polytechnique Fédérale de Lausanne, EPFL IC-LCA, Batiment BC 258, Station 14, CH-1015 Lausanne, Switzerland. irina.baltcheva@gmail.com
authors.forename: Irina
authors.initials: I
authors.lastname: Baltcheva
authors.forename: Laura
authors.initials: L
authors.lastname: Codarri
authors.forename: Giuseppe
authors.initials: G
authors.lastname: Pantaleo
authors.forename: Jean-Yves
authors.initials: JY
authors.lastname: Le Boudec
mesh_terms: D000328:Adult; D000368:Aged; D001327:Autoimmune Diseases / Q000276:immunology*; D002452:Cell Count; D002454:Cell Differentiation / Q000276:immunology; D049109:Cell Proliferation; D005260:Female; D005434:Flow Cytometry; D006706:Homeostasis / Q000276:immunology*; D006801:Humans; D008297:Male; D008875:Middle Aged; D018448:Models, Immunological; D016176:T-Lymphocyte Subsets / Q000276:immunology; D050378:T-Lymphocytes, Regulatory / Q000276:immunology*; D013950:Thymus Gland / Q000276:immunology; D013997:Time Factors; D014181:Transplantation Immunology / Q000276:immunology*