Les monocytes classiques (cMo) sont des phagocytes mononucléés circulant dans le sang et capables de migrer vers les tissus enflammés pour s’y différencier en monocytes inflammatoires, cellules dendritiques dérivées de monocytes (MoDC), macrophages (MoM) ou cellules myéloïdes suppressives. Selon le contexte physiopathologique, les cellules dérivées de cMo peuvent être bénéfiques ou néfastes. Dans l’infection par le cytomégalovirus murin (MCMV) leur rôle est controversé. Les divergences apparentes dans la littérature pourraient s’expliquer par l’utilisation de souches distinctes de souris ou de virus, l’étude d’organes différents, et la confusion existante sur l’identité et la plasticité de différents sous-types de cellules dérivées de cMo. Par des analyses transcriptionnelles, morphologiques et fonctionnelles, mon travail de thèse montre que, dans la rate de souris infectées par MCMV, les cMo se différencient simultanément en monocytes inflammatoires, MoDC et MoM. Cette différenciation est abrogée lorsque les cMo sont incapables de répondre aux interférons de type I (IFN-I), massivement produits dans les infections virales, qui boostent l’immunité intrinsèque antivirale et promeuvent l’activation des cellules immunitaires innées et adaptatives. La déplétion des cMo compromet le contrôle de l’infection et les réponses des cellules Natural Killer et des lymphocytes T CD8+. Mon travail montre que, dans les souris infectées par MCMV, les cMo se différencient, de manière dépendante de l’IFN-I, en trois sous-types cellulaires distincts qui contribuent à la fois au contrôle de la réplication virale et à la promotion de réponses immunitaires innées et adaptatives protectrices. / Classical monocytes (cMo) are mononuclear phagocytes mainly localized in the blood at steady state. Upon inflammation cMo migrate into inflamed tissues where they can differentiate in inflammatory monocytes, monocyte-derived dendritic cells (MoDC), monocyte-derived macrophages (MoM) or myeloid derived suppressor cells (MDSC). Depending on the physiopathological context, cMo-derived cells can be beneficial or detrimental. There are major discrepancies between published reports on the role of cMo during MCMV infection. This may be due to the use of distinct strains of mice or of virus, to the study of different organs, or to the confusion existing in the field regarding the identity and the plasticity of the different types of cMo-derived cells. During my PhD, by combining gene expression profiling, morphological, phenotypical and functional studies, I have shown that splenic cMo in MCMV-infected mice encompass cells that had simultaneously differentiated in vivo into either inflammatory monocytes, MoDC or MoM. This cMo differentiation is abrogated in the absence of responsiveness to type I interferons (IFN-I), which are highly produced during viral infections and boosting cell-intrinsic anti-viral immunity as well as promoting the activation of innate and adaptive immune responses. cMo depletion compromises the control of MCMV replication and the antiviral responses of Natural Killer cells and CD8+ T lymphocytes. My PhD work demonstrates that, in MCMV-infected mice, cMo differentiate, via an IFN-I-dependent pathway, into three distinct cell subtypes that are involved both in the control of MCMV replication and in the induction of protective innate and adaptive immunity.

Background: Leukocytes in peripheral blood (PB) are prognostic biomarkers in head and neck squamous cell carcinoma cancer patients (HNSCC-CPs), but differences between HNSCC-CPs and healthy adults (HAs) are insufficiently described. Methods: 10-color flow cytometry (FCM) was used for in-depth immunophenotyping of PB samples of 963 HAs and 101 therapy-naïve HNSCC-CPs. Absolute (AbsCC) and relative cell counts (RelCC) of leukocyte subsets were determined. A training cohort (TC) of 43 HNSCC-CPs and 43 HAs, propensity score (PS)-matched according to age, sex, alcohol, and smoking, was used to develop a score consecutively approved in a validation cohort (VC). Results: Differences in AbsCC were detected in leukocyte subsets (p < 0.001), but had low power in discriminating HNSCC-CPs and HAs. Consequently, RelCC of nine leukocyte subsets in the TC were used to calculate 36 ratios; receiver operating characteristic (ROC) curves defined optimum cut-off values. Binary classified data were combined in a score based on four ratios: monocytes-to-granulocytes (MGR), classical monocytes-to-monocytes (clMMR), monocytes-to-lymphocytes (MLR), and monocytes-to-T-lymphocytes (MTLR); ≥3 points accurately discriminate HNSCC-CPs and HAs in the PS-matched TC (p = 2.97 × 10−17), the VC (p = 4.404 × 10−178), and both combined (p = 7.74 × 10−199). Conclusions: RelCC of leukocyte subsets in PB of HNSCC-CPs differ significantly from those of HAs. A score based on MGR, clMMR, MLR, and MTLR allows for accurate discrimination.