Identifying a survival-associated cell type based on multi-level transcriptome analysis in idiopathic pulmonary fibrosis.
Respir Res
; 25(1): 126, 2024 Mar 15.
Article
em En
| MEDLINE
| ID: mdl-38491375
ABSTRACT
BACKGROUND:
Idiopathic pulmonary fibrosis (IPF) is a progressive disease with a five-year survival rate of less than 40%. There is significant variability in survival time among IPF patients, but the underlying mechanisms for this are not clear yet. METHODS ANDRESULTS:
We collected single-cell RNA sequence data of 13,223 epithelial cells taken from 32 IPF patients and bulk RNA sequence data from 456 IPF patients in GEO. Based on unsupervised clustering analysis at the single-cell level and deconvolution algorithm at bulk RNA sequence data, we discovered a special alveolar type 2 cell subtype characterized by high expression of CCL20 (referred to as ATII-CCL20), and found that IPF patients with a higher proportion of ATII-CCL20 had worse prognoses. Furthermore, we uncovered the upregulation of immune cell infiltration and metabolic functions in IPF patients with a higher proportion of ATII-CCL20. Finally, the comprehensive decision tree and nomogram were constructed to optimize the risk stratification of IPF patients and provide a reference for accurate prognosis evaluation.CONCLUSIONS:
Our study by integrating single-cell and bulk RNA sequence data from IPF patients identified a special subtype of ATII cells, ATII-CCL20, which was found to be a risk cell subtype associated with poor prognosis in IPF patients. More importantly, the ATII-CCL20 cell subtype was linked with metabolic functions and immune infiltration.
Texto completo:
1
Bases de dados:
MEDLINE
Assunto principal:
Fibrose Pulmonar Idiopática
Limite:
Humans
Idioma:
En
Revista:
Respir Res
Ano de publicação:
2024
Tipo de documento:
Article
País de afiliação:
China