A real-time PCR signature to discriminate between tuberculosis and other pulmonary diseases.
Tuberculosis (Edinb)
; 95(4): 421-5, 2015 Jul.
Article
em En
| MEDLINE
| ID: mdl-26025597
ABSTRACT
The goal of this study was to identify a host gene signature that can distinguish tuberculosis (TB) from other pulmonary diseases (OPD). We conducted real-time PCR on whole blood samples from patients in Brazil. TB and OPD patients (asthma and non-TB pneumonia) differentially expressed granzyme A (GZMA), guanylate binding protein 5 (GBP5) and Fc gamma receptor 1A (CD64). Receiver operating characteristic, tree classification and random forest analyses were applied to evaluate the discriminatory power of the three genes and find the gene panel most predictive of patients' disease classification. Tree classification produced a model based on GBP5 and CD64 expression. In random forest analysis, the combination of the three genes provided a robust biosignature to distinguish TB from OPD with 95% specificity and 93% sensitivity. Our results suggest that GBP5 and CD64 in tandem may be the most predictive combination. However, GZMA contribution to the prediction model requires further investigation. Regardless, these three genes show promise as a rapid diagnostic marker separating TB from OPD.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Tuberculose Pulmonar
/
Receptores de IgG
/
Proteínas de Ligação ao GTP
/
Perfilação da Expressão Gênica
/
Granzimas
/
Reação em Cadeia da Polimerase em Tempo Real
/
Mycobacterium tuberculosis
Tipo de estudo:
Diagnostic_studies
/
Prognostic_studies
Limite:
Adolescent
/
Adult
/
Aged
/
Female
/
Humans
/
Male
/
Middle aged
País/Região como assunto:
America do sul
/
Brasil
Idioma:
En
Revista:
Tuberculosis (Edinb)
Ano de publicação:
2015
Tipo de documento:
Article
País de publicação:
ENGLAND
/
ESCOCIA
/
GB
/
GREAT BRITAIN
/
INGLATERRA
/
REINO UNIDO
/
SCOTLAND
/
UK
/
UNITED KINGDOM