Macrophage states: there's a method in the madness.
Trends Immunol
; 44(12): 954-964, 2023 12.
Article
em En
| MEDLINE
| ID: mdl-37945504
ABSTRACT
Single-cell approaches have shone a spotlight on discrete context-specific tissue macrophage states, deconstructed to their most minute details. Machine-learning (ML) approaches have recently challenged that dogma by revealing a context-agnostic continuum of states shared across tissues. Both approaches agree that 'brake' and 'accelerator' macrophage subpopulations must be balanced to achieve homeostasis. Both approaches also highlight the importance of ensemble fluidity as subpopulations switch between wide ranges of accelerator and brake phenotypes to mount the most optimal wholistic response to any threat. A full comprehension of the rules that govern these brake and accelerator states is a promising avenue because it can help formulate precise macrophage re-education therapeutic strategies that might selectively boost or suppress disease-associated states and phenotypes across various tissues.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Macrófagos
Limite:
Humans
Idioma:
En
Revista:
Trends Immunol
Assunto da revista:
ALERGIA E IMUNOLOGIA
Ano de publicação:
2023
Tipo de documento:
Article