A participant-derived xenograft model of HIV enables long-term evaluation of autologous immunotherapies

Autor: Catherine M. Bollard, Ali Danesh, Chanson J. Brumme, Thomas Lars Andresen, Douglas S. Jones, Bruce D. Walker, Zabrina L. Brumme, Eva M. Stevenson, Thomas R Dilling, Shabnum Patel, Winnie Dong, Christiaan H. van Dorp, Adam R. Ward, Elizabeth Zale, Alan S. Perelson, R. Brad Jones, Darrell J. Irvine, Talia M. Mota, Chase D. McCann
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Rockefeller University Press
The Journal of Experimental Medicine
Popis: McCann et al. describe the development and characterization of a new mouse model for studying HIV-specific T cell responses and testing various immunotherapeutic strategies, which they validate by demonstrating enhanced therapeutic effects of autologous HIV-specific T cells augmented with cytokine-loaded nanogels.
HIV-specific CD8+ T cells partially control viral replication and delay disease progression, but they rarely provide lasting protection, largely due to immune escape. Here, we show that engrafting mice with memory CD4+ T cells from HIV+ donors uniquely allows for the in vivo evaluation of autologous T cell responses while avoiding graft-versus-host disease and the need for human fetal tissues that limit other models. Treating HIV-infected mice with clinically relevant HIV-specific T cell products resulted in substantial reductions in viremia. In vivo activity was significantly enhanced when T cells were engineered with surface-conjugated nanogels carrying an IL-15 superagonist, but it was ultimately limited by the pervasive selection of a diverse array of escape mutations, recapitulating patterns seen in humans. By applying mathematical modeling, we show that the kinetics of the CD8+ T cell response have a profound impact on the emergence and persistence of escape mutations. This “participant-derived xenograft” model of HIV provides a powerful tool for studying HIV-specific immunological responses and facilitating the development of effective cell-based therapies.
Databáze: OpenAIRE