Editorial: Mechanistic and statistical modeling approaches to study alloimmune T-cell responses

M. Castro, J. Bassaganya-Riera, M. Fribourg

Frontiers in Immunology Vol. 16, pp. 1591083

Summary:

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.

Spanish layman's summary:

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.

English layman's summary:

We explain how T-cells play a crucial role in transplant rejection and highlights the need for new methods to better understand and improve therapies for transplant recipients.

 

Keywords: T cells, statistical methods, computational modeling, alloimmune, mechanism

JCR-JIF Impact Factor and WoS quartile: 7,000 - Q1 (2025)

DOI reference: https://doi.org/10.3389/fimmu.2025.1591083

Published on paper: 2025.

Published on-line: April 2025.

Citation:
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, 2025. [Online: April 2025] doi: 10.3389/fimmu.2025.1591083