Saba Feghhi-Najafabadi, Farhad Riazi-Rad, Mohammad Ali Shokrgozar, Shahriyar Abdoli, Fatemeh Hajari Taheri, Arash Arashkia, Zahra Sharifzadeh
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引用次数: 0
Abstract
Background and purpose: The PD-1/PD-L1 immune checkpoint pathway inhibits T cell function, allowing tumors to escape immune responses. This study aimed to reprogram this inhibitory signaling using a PD- 1:CD28 switch receptor (SR) to convert inhibitory signaling into a co-stimulatory signal and to assess its effects on the function of CD4+ and CD8+ T cells.
Experimental approach: PBMCs isolated from both sources were retrovirally transduced with PD-1:CD28 SR. Intracellular expression of cytokines, including IFN-γ, IL-4, IL-10, as well as the surface CD25 in CD4+ and CD8+ T cells, and the rate of cell apoptosis during engineering and exposure to target cells were assessed.
Findings/results: Both buffy coat (BC) and whole blood showed comparable transduction efficiency (21.4% versus 18.5%, respectively), but BC yielded nearly double the number of viable PBMCs per 50 mL. Upon stimulation and co-culture with target cells, CD4+ SR T cells produced significantly higher levels of IFN-γ, IL-4, and IL-10 compared to CD8+ SR T cells. These cytokines also significantly increased in co-culture supernatants exposed to PD-L1+ cells. No significant differences were found in CD4/CD8 ratios, CD25 expression, or cytokine profiles between PBMC sources. However, BC-derived T cells showed higher apoptosis rates during co-culture.
Conclusion and implications: BC can be a practical and effective source of PBMCs for T cell engineering. These findings underscore the SR signaling in the activation of CD4+ T cells that may impact the activation of CD8+ T cells, which is essential for effective tumor eradication.
期刊介绍:
Research in Pharmaceutical Sciences (RPS) is included in Thomson Reuters ESCI Web of Science (searchable at WoS master journal list), indexed with PubMed and PubMed Central and abstracted in the Elsevier Bibliographic Databases. Databases include Scopus, EMBASE, EMCare, EMBiology and Elsevier BIOBASE. It is also indexed in several specialized databases including Scientific Information Database (SID), Google Scholar, Iran Medex, Magiran, Index Copernicus (IC) and Islamic World Science Citation Center (ISC).