Modeling CD4 + T cells dynamics in HIV-infected patients receiving repeated cycles of exogenous Interleukin 7

Ana Jarne (1, 2) , Daniel Commenges (1) , Mélanie Prague (2) , Yves Levy (3, 4) , Rodolphe Thiébaut (5, 1)

1 SISTM - Statistics In System biology and Translational Medicine
2 Epidémiologie et Biostatistique [Bordeaux]
3 UPEC UP12 - Université Paris-Est Créteil Val-de-Marne - Paris 12
4 VRI - Vaccine Research Institute [Créteil, France]
5 UB - Université de Bordeaux

Combination antiretroviral therapy succeeds to control viral replication in most HIV infected patients. This is normally followed by a reconstitution of the CD4+ T cells pool; however, this does not happen for all patients. For these patients, an immunotherapy based on injections of Interleukin 7 (IL-7) has been recently proposed in the hope of obtaining long-term reconstitution of the T cells pool. Several questions arise as to the long-term eciency of this treatment and the best protocol to apply. Mathematical and statistical models can help answering these questions.

Mots clés: CD4; HIV; Interleukin 7; Mechanistic models; Modeling

Domaines: Systèmes dynamiques [math.DS]; Statistiques [math.ST]; Santé publique et épidémiologie; Immunothérapie; Vaccinologie

Ana Jarne, Daniel Commenges, Mélanie Prague, Yves Levy, Rodolphe Thiébaut. Modeling CD4 + T cells dynamics in HIV-infected patients receiving repeated cycles of exogenous Interleukin 7. Annals of Applied Statistics, 2017. ⟨hal-01579008⟩