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An In-Vitro Study of the Expansion and Transcriptomics of CD(4+) and CD(8+) Naïve and Memory T Cells Stimulated by IL-2, IL-7 and IL-15

SIMPLE SUMMARY: T cell-based therapies can be costly, inconsistent, and differentially effective for patients. The limiting reagent for T cell-based immunotherapies is the T cell itself. T cell growth has been linked to endogenously delivered cytokines and messenger proteins that indicate the status...

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Detalles Bibliográficos
Autores principales: Hopkins, Brooks, Fisher, Justin, Chang, Meiping, Tang, Xiaoyan, Du, Zhimei, Kelly, William J., Huang, Zuyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9139303/
https://www.ncbi.nlm.nih.gov/pubmed/35626739
http://dx.doi.org/10.3390/cells11101701
Descripción
Sumario:SIMPLE SUMMARY: T cell-based therapies can be costly, inconsistent, and differentially effective for patients. The limiting reagent for T cell-based immunotherapies is the T cell itself. T cell growth has been linked to endogenously delivered cytokines and messenger proteins that indicate the status of inflammation of the local system in the body. IL-2, IL-7, and IL-15 are the specific cytokines that have been identified in combination to deliver accelerated growth to different T cell subsets. This study focuses on the growth of T cell subsets subject to different combinations of IL-2, IL-7, and IL-15 in the experiment. Based on growth data, mathematical models were developed to project the optimal growth conditions for CD(4+) and CD(8+) Naïve and Memory T Cells. RNA sequence data is finally analyzed to study the gene networks that influence growth pathways, specifically for CD(4+) and CD(8+) naïve and memory subsets. ABSTRACT: The growth of T cells ex vivo for the purpose of T cell therapies is a rate-limiting step in the overall process for cancer patients to achieve remission. Growing T cells is a fiscally-, time-, and resource-intensive process. Cytokines have been shown to accelerate the growth of T cells, specifically IL-2, IL-7, and IL-15. Here a design of experiments was conducted to optimize the growth rate of different naïve and memory T cell subsets using combinations of cytokines. Mathematical models were developed to study the impact of IL-2, IL-7, and IL-15 on the growth of T cells. The results show that CD(4+) and CD(8+) naïve T cells grew effectively using moderate IL-2 and IL-7 in combination, and IL-7, respectively. CD(4+) and CD(8+) memory cells favored moderate IL-2 and IL-15 in combination and moderate IL-7 and IL-15 in combination, respectively. A statistically significant interaction was observed between IL-2 and IL-7 in the growth data of CD(4+) naïve T cells, while the interaction between IL-7 and IL-15 was found for CD(8+) naïve T cells. The important genes and related signaling pathways and metabolic reactions were identified from the RNA sequencing data for each of the four subsets stimulated by each of the three cytokines. This systematic investigation lays the groundwork for studying other T cell subsets.