COVID-19 severity correlates with airway epithelium-immune cell interactions identified by single-cell analysis.
Nat Biotechnol
; 38(8): 970-979, 2020 08.
Artículo
en Inglés
| MEDLINE | ID: covidwho-1023942
ABSTRACT
To investigate the immune response and mechanisms associated with severe coronavirus disease 2019 (COVID-19), we performed single-cell RNA sequencing on nasopharyngeal and bronchial samples from 19 clinically well-characterized patients with moderate or critical disease and from five healthy controls. We identified airway epithelial cell types and states vulnerable to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. In patients with COVID-19, epithelial cells showed an average three-fold increase in expression of the SARS-CoV-2 entry receptor ACE2, which correlated with interferon signals by immune cells. Compared to moderate cases, critical cases exhibited stronger interactions between epithelial and immune cells, as indicated by ligand-receptor expression profiles, and activated immune cells, including inflammatory macrophages expressing CCL2, CCL3, CCL20, CXCL1, CXCL3, CXCL10, IL8, IL1B and TNF. The transcriptional differences in critical cases compared to moderate cases likely contribute to clinical observations of heightened inflammatory tissue damage, lung injury and respiratory failure. Our data suggest that pharmacologic inhibition of the CCR1 and/or CCR5 pathways might suppress immune hyperactivation in critical COVID-19.
Texto completo:
Disponible
Colección:
Bases de datos internacionales
Base de datos:
MEDLINE
Asunto principal:
Neumonía Viral
/
Sistema Respiratorio
/
Infecciones por Coronavirus
/
Análisis de la Célula Individual
/
Transcriptoma
Tipo de estudio:
Estudio de cohorte
/
Estudio observacional
/
Estudio pronóstico
Límite:
Adulto
/
Anciano
/
Femenino
/
Humanos
/
Masculino
/
Middle aged
Idioma:
Inglés
Revista:
Nat Biotechnol
Asunto de la revista:
Biotecnologia
Año:
2020
Tipo del documento:
Artículo
País de afiliación:
S41587-020-0602-4
Similares
MEDLINE
...
LILACS
LIS