Comprehensive study of the immunomodulatory properties of bone marrow-derived mesenchymal stromal cells
Notice bibliographique
Résumé
Over the course of the last decade, mesenchymal stromal cells (MSC) have made a remarkable entry in the field of cell-based immunotherapy. In vitro, MSC were shown to modulate the immune response, either by acting as an immunosuppressant on several immune cells, or upon IFN-γ stimulation, as an antigen presenting cell (APC) for the priming of CD4+ T cells. Although a vast array of in vivo experiments in animals and humans has undeniably proven the immunological properties of MSC, the exact mechanisms by which MSC mediate their effects remain unclear. In Chapter 1, I presented a succinct review of the literature in regards to the characteristics of MSC. In Chapter 2, I addressed the immunosuppressive mechanisms of human MSC toward T cell proliferation. Using an in vitro proliferation assay, I demonstrated that human MSC suppressed T cell proliferation through the expression indoleamine 2,3-dioxygenase (IDO) induced following IFN-γ priming. In addition, MSC derived from different donors were shown to suppress T cell proliferation at variable degrees, which corresponded to their individual expression level of IDO. The use of whole peripheral blood mononuclear cells (PBMC) as opposed to purified T cells revealed the role played by monocytes in the suppression of T cell proliferation by MSC. Factors secreted by MSC in addition to the enzymatic activity of IDO induced the differentiation of monocytes into immunosuppressive M2 macrophages. Stimulation by IFN-γ not only triggered the immunosuppressive mechanisms of MSC but also induced APC-like properties in MSC. In Chapter 3, I investigated the molecular mechanisms implicated in the modulation of IFN-γ-inducible expression of MHC class II molecules and mediated antigen presentation in MSC. I demonstrated that IFN-γ mediated the transcriptional activation of the class II transactivator gene (CIITA), which is responsible for the upregulation of MHC class II molecules on both mouse and human MSC, and that TGF-β counter-acted the effect of IFN-γ by inhibiting the transcription of CIITA. In addition, cell culture density also modulated MHC class II-mediated antigen presentation differentially in mouse and human MSC. In Chapter 4, I examined the capacity of mouse MSC to cross-present exogenously acquired antigens as part of their APC-like features. I demonstrated that cross-presentation by mouse MSC was induced by IFN-γ and dependent on MHC class I machinery molecules, TAP complex and proteasome. I also demonstrated using an in vivo immune reconstitution assay, that mouse MSC can prime CD8+ T cells against a specific antigen, a characteristic of professional APC. Finally, I investigated in Chapter 5 the immunological impact of TLR expression and signaling in human and mouse MSC. I demonstrated that TLR activation in MSC induced the expression of chemokines and cytokines, which created an attractive inflammatory milieu for immune cells. I concluded by demonstrating that MSC differ from classic APC in that they did not express IL-12p70, an essential cytokine involved in both innate and adaptive immunity, in response to TLR activation. The findings in this thesis illustrate the complexity of the mechanisms by which MSC modulate the immune system. Their response to environment clues such as inflammation and pathogens activate either their suppressive or stimulatory immune functions, depending on the situation. Overall, these findings help optimize the utilization of MSC in cell-based immunotherapy.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».