Microarray-based selection of a serum biomarker panel that can discriminate between latent and active pulmonary TB

Abstract Bacterial culture of M. tuberculosis (MTB), the causative agent of tuberculosis (TB), from clinical specimens is the gold standard for laboratory diagnosis of TB, but is slow and culture-negative TB cases are common. Alternative immune-based and molecular approaches have been developed, but...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhihui Li, Jianjun Hu, Pengchong Liu, Dan Cui, Hongqin Di, Shucai Wu
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/4365acb6423f4c63a76caac34a58c373
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:4365acb6423f4c63a76caac34a58c373
record_format	dspace
spelling	oai:doaj.org-article:4365acb6423f4c63a76caac34a58c3732021-12-02T16:14:03ZMicroarray-based selection of a serum biomarker panel that can discriminate between latent and active pulmonary TB10.1038/s41598-021-93893-32045-2322https://doaj.org/article/4365acb6423f4c63a76caac34a58c3732021-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-93893-3https://doaj.org/toc/2045-2322Abstract Bacterial culture of M. tuberculosis (MTB), the causative agent of tuberculosis (TB), from clinical specimens is the gold standard for laboratory diagnosis of TB, but is slow and culture-negative TB cases are common. Alternative immune-based and molecular approaches have been developed, but cannot discriminate between active TB (ATB) and latent TB (LTBI). Here, to identify biomarkers that can discriminate between ATB and LTBI/healthy individuals (HC), we profiled 116 serum samples (HC, LTBI and ATB) using a protein microarray containing 257 MTB secreted proteins, identifying 23 antibodies against MTB antigens that were present at significantly higher levels in patients with ATB than in those with LTBI and HC (Fold change > 1.2; p < 0.05). A 4-protein biomarker panel (Rv0934, Rv3881c, Rv1860 and Rv1827), optimized using SAM and ROC analysis, had a sensitivity of 67.3% and specificity of 91.2% for distinguishing ATB from LTBI, and 71.2% sensitivity and 96.3% specificity for distinguishing ATB from HC. Validation of the four candidate biomarkers in ELISA assays using 440 serum samples gave consistent results. The promising sensitivity and specificity of this biomarker panel suggest it merits further investigation for its potential as a diagnostic for discriminating between latent and active TB.Zhihui LiJianjun HuPengchong LiuDan CuiHongqin DiShucai WuNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Zhihui Li Jianjun Hu Pengchong Liu Dan Cui Hongqin Di Shucai Wu Microarray-based selection of a serum biomarker panel that can discriminate between latent and active pulmonary TB
description	Abstract Bacterial culture of M. tuberculosis (MTB), the causative agent of tuberculosis (TB), from clinical specimens is the gold standard for laboratory diagnosis of TB, but is slow and culture-negative TB cases are common. Alternative immune-based and molecular approaches have been developed, but cannot discriminate between active TB (ATB) and latent TB (LTBI). Here, to identify biomarkers that can discriminate between ATB and LTBI/healthy individuals (HC), we profiled 116 serum samples (HC, LTBI and ATB) using a protein microarray containing 257 MTB secreted proteins, identifying 23 antibodies against MTB antigens that were present at significantly higher levels in patients with ATB than in those with LTBI and HC (Fold change > 1.2; p < 0.05). A 4-protein biomarker panel (Rv0934, Rv3881c, Rv1860 and Rv1827), optimized using SAM and ROC analysis, had a sensitivity of 67.3% and specificity of 91.2% for distinguishing ATB from LTBI, and 71.2% sensitivity and 96.3% specificity for distinguishing ATB from HC. Validation of the four candidate biomarkers in ELISA assays using 440 serum samples gave consistent results. The promising sensitivity and specificity of this biomarker panel suggest it merits further investigation for its potential as a diagnostic for discriminating between latent and active TB.
format	article
author	Zhihui Li Jianjun Hu Pengchong Liu Dan Cui Hongqin Di Shucai Wu
author_facet	Zhihui Li Jianjun Hu Pengchong Liu Dan Cui Hongqin Di Shucai Wu
author_sort	Zhihui Li
title	Microarray-based selection of a serum biomarker panel that can discriminate between latent and active pulmonary TB
title_short	Microarray-based selection of a serum biomarker panel that can discriminate between latent and active pulmonary TB
title_full	Microarray-based selection of a serum biomarker panel that can discriminate between latent and active pulmonary TB
title_fullStr	Microarray-based selection of a serum biomarker panel that can discriminate between latent and active pulmonary TB
title_full_unstemmed	Microarray-based selection of a serum biomarker panel that can discriminate between latent and active pulmonary TB
title_sort	microarray-based selection of a serum biomarker panel that can discriminate between latent and active pulmonary tb
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/4365acb6423f4c63a76caac34a58c373
work_keys_str_mv	AT zhihuili microarraybasedselectionofaserumbiomarkerpanelthatcandiscriminatebetweenlatentandactivepulmonarytb AT jianjunhu microarraybasedselectionofaserumbiomarkerpanelthatcandiscriminatebetweenlatentandactivepulmonarytb AT pengchongliu microarraybasedselectionofaserumbiomarkerpanelthatcandiscriminatebetweenlatentandactivepulmonarytb AT dancui microarraybasedselectionofaserumbiomarkerpanelthatcandiscriminatebetweenlatentandactivepulmonarytb AT hongqindi microarraybasedselectionofaserumbiomarkerpanelthatcandiscriminatebetweenlatentandactivepulmonarytb AT shucaiwu microarraybasedselectionofaserumbiomarkerpanelthatcandiscriminatebetweenlatentandactivepulmonarytb
_version_	1718384346147061760

Microarray-based selection of a serum biomarker panel that can discriminate between latent and active pulmonary TB

Ejemplares similares