A host-based two-gene model for the identification of bacterial infection in general clinical settings.
Int J Infect Dis
; 105: 662-667, 2021 Apr.
Article
em En
| MEDLINE
| ID: mdl-33667695
ABSTRACT
OBJECTIVES:
In this study, we aimed to develop a simple gene model to identify bacterial infection, which can be implemented in general clinical settings.METHODS:
We used a clinically availablereal-time quantitative polymerase chain reaction platform to conduct focused gene expression assays on clinical blood samples. Samples were collected from 2 tertiary hospitals.RESULTS:
We found that the 8 candidate genes for bacterial infection were significantly dysregulated in bacterial infection and displayed good performance in group classification, whereas the 2 genes for viral infection displayed poor performance. A two-gene model (S100A12 and CD177) displayed 93.0% sensitivity and 93.7% specificity in the modeling stage. In the independent validation stage, 87.8% sensitivity and 96.6% specificity were achieved in one set of case-control groups, and 93.6% sensitivity and 97.1% specificity in another set.CONCLUSIONS:
We have validated the signature genes for bacterial infection and developed a two-gene model to identify bacterial infection in general clinical settings.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Temas:
Geral
Base de dados:
MEDLINE
Assunto principal:
Infecções Bacterianas
/
Modelos Genéticos
Tipo de estudo:
Diagnostic_studies
/
Observational_studies
/
Prognostic_studies
Limite:
Female
/
Humans
/
Male
Idioma:
En
Revista:
Int J Infect Dis
Assunto da revista:
DOENCAS TRANSMISSIVEIS
Ano de publicação:
2021
Tipo de documento:
Article