Resumen:
This article discusses the critical role of T cells in transplant rejection and the challenges in selectively targeting them due to their complex dynamics. It highlights advances in single-cell technologies and T-cell receptor sequencing, which have enhanced our ability to monitor alloimmune responses. The article emphasizes the need for new mechanistic and statistical modeling approaches to better understand T cell behavior and improve therapeutic strategies for transplant recipients. The research presented aims to provide insights into T cell dynamics, improve diagnostic markers, and optimize immunosuppressive therapies.
Resumen divulgativo:
Se explica cómo las células T juegan un papel crucial en el rechazo de trasplantes y la necesidad de nuevos métodos para entender y mejorar las terapias para los receptores de trasplantes.
Palabras Clave: T cells, statistical methods, computational modeling, alloimmune, mechanism
Índice de impacto JCR y cuartil WoS: 5,700 - Q1 (2023)
Referencia DOI:
https://doi.org/10.3389/fimmu.2025.1591083
Publicado en papel: 2025.
Publicado on-line: Abril 2025.
Cita:
M. Castro, J. Bassaganya-Riera, M. Fribourg, Editorial: Mechanistic and statistical modeling approaches to study alloimmune T-cell responses. Frontiers in Immunology. Vol. 16, pp. 1591083-1 - 1591083-2, 2025. [Online: Abril 2025]