Cargando…

Novel Biomarkers Distinguishing Active Tuberculosis from Latent Infection Identified by Gene Expression Profile of Peripheral Blood Mononuclear Cells

BACKGROUND: Humans infected with Mycobacterium tuberculosis (MTB) can delete the pathogen or otherwise become latent infection or active disease. However, the factors influencing the pathogen clearance and disease progression from latent infection are poorly understood. This study attempted to use a...

Descripción completa

Detalles Bibliográficos
Autores principales: Lu, Chanyi, Wu, Jing, Wang, Honghai, Wang, Sen, Diao, Ni, Wang, Feifei, Gao, Yan, Chen, Jiazhen, Shao, Lingyun, Weng, Xinhua, Zhang, Ying, Zhang, Wenhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3164189/
https://www.ncbi.nlm.nih.gov/pubmed/21904626
http://dx.doi.org/10.1371/journal.pone.0024290
_version_ 1782211018561159168
author Lu, Chanyi
Wu, Jing
Wang, Honghai
Wang, Sen
Diao, Ni
Wang, Feifei
Gao, Yan
Chen, Jiazhen
Shao, Lingyun
Weng, Xinhua
Zhang, Ying
Zhang, Wenhong
author_facet Lu, Chanyi
Wu, Jing
Wang, Honghai
Wang, Sen
Diao, Ni
Wang, Feifei
Gao, Yan
Chen, Jiazhen
Shao, Lingyun
Weng, Xinhua
Zhang, Ying
Zhang, Wenhong
author_sort Lu, Chanyi
collection PubMed
description BACKGROUND: Humans infected with Mycobacterium tuberculosis (MTB) can delete the pathogen or otherwise become latent infection or active disease. However, the factors influencing the pathogen clearance and disease progression from latent infection are poorly understood. This study attempted to use a genome-wide transcriptome approach to identify immune factors associated with MTB infection and novel biomarkers that can distinguish active disease from latent infection. METHODOLOGY/PRINCIPAL FINDINGS: Using microarray analysis, we comprehensively determined the transcriptional difference in purified protein derivative (PPD) stimulated peripheral blood mononuclear cells (PBMCs) in 12 individuals divided into three groups: TB patients (TB), latent TB infection individuals (LTBI) and healthy controls (HC) (n = 4 per group). A transcriptional profiling of 506 differentially expressed genes could correctly group study individuals into three clusters. Moreover, 55- and 229-transcript signatures for tuberculosis infection (TB&LTBI) and active disease (TB) were identified, respectively. The validation study by quantitative real-time PCR (qPCR) performed in 83 individuals confirmed the expression patterns of 81% of the microarray identified genes. Decision tree analysis indicated that three genes of CXCL10, ATP10A and TLR6 could differentiate TB from LTBI subjects. Additional validation was performed to assess the diagnostic ability of the three biomarkers within 36 subjects, which yielded a sensitivity of 71% and specificity of 89%. CONCLUSIONS/SIGNIFICANCE: The transcription profiles of PBMCs induced by PPD identified distinctive gene expression patterns associated with different infectious status and provided new insights into human immune responses to MTB. Furthermore, this study indicated that a combination of CXCL10, ATP10A and TLR6 could be used as novel biomarkers for the discrimination of TB from LTBI.
format Online
Article
Text
id pubmed-3164189
institution National Center for Biotechnology Information
language English
publishDate 2011
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-31641892011-09-08 Novel Biomarkers Distinguishing Active Tuberculosis from Latent Infection Identified by Gene Expression Profile of Peripheral Blood Mononuclear Cells Lu, Chanyi Wu, Jing Wang, Honghai Wang, Sen Diao, Ni Wang, Feifei Gao, Yan Chen, Jiazhen Shao, Lingyun Weng, Xinhua Zhang, Ying Zhang, Wenhong PLoS One Research Article BACKGROUND: Humans infected with Mycobacterium tuberculosis (MTB) can delete the pathogen or otherwise become latent infection or active disease. However, the factors influencing the pathogen clearance and disease progression from latent infection are poorly understood. This study attempted to use a genome-wide transcriptome approach to identify immune factors associated with MTB infection and novel biomarkers that can distinguish active disease from latent infection. METHODOLOGY/PRINCIPAL FINDINGS: Using microarray analysis, we comprehensively determined the transcriptional difference in purified protein derivative (PPD) stimulated peripheral blood mononuclear cells (PBMCs) in 12 individuals divided into three groups: TB patients (TB), latent TB infection individuals (LTBI) and healthy controls (HC) (n = 4 per group). A transcriptional profiling of 506 differentially expressed genes could correctly group study individuals into three clusters. Moreover, 55- and 229-transcript signatures for tuberculosis infection (TB&LTBI) and active disease (TB) were identified, respectively. The validation study by quantitative real-time PCR (qPCR) performed in 83 individuals confirmed the expression patterns of 81% of the microarray identified genes. Decision tree analysis indicated that three genes of CXCL10, ATP10A and TLR6 could differentiate TB from LTBI subjects. Additional validation was performed to assess the diagnostic ability of the three biomarkers within 36 subjects, which yielded a sensitivity of 71% and specificity of 89%. CONCLUSIONS/SIGNIFICANCE: The transcription profiles of PBMCs induced by PPD identified distinctive gene expression patterns associated with different infectious status and provided new insights into human immune responses to MTB. Furthermore, this study indicated that a combination of CXCL10, ATP10A and TLR6 could be used as novel biomarkers for the discrimination of TB from LTBI. Public Library of Science 2011-08-31 /pmc/articles/PMC3164189/ /pubmed/21904626 http://dx.doi.org/10.1371/journal.pone.0024290 Text en Lu et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Lu, Chanyi
Wu, Jing
Wang, Honghai
Wang, Sen
Diao, Ni
Wang, Feifei
Gao, Yan
Chen, Jiazhen
Shao, Lingyun
Weng, Xinhua
Zhang, Ying
Zhang, Wenhong
Novel Biomarkers Distinguishing Active Tuberculosis from Latent Infection Identified by Gene Expression Profile of Peripheral Blood Mononuclear Cells
title Novel Biomarkers Distinguishing Active Tuberculosis from Latent Infection Identified by Gene Expression Profile of Peripheral Blood Mononuclear Cells
title_full Novel Biomarkers Distinguishing Active Tuberculosis from Latent Infection Identified by Gene Expression Profile of Peripheral Blood Mononuclear Cells
title_fullStr Novel Biomarkers Distinguishing Active Tuberculosis from Latent Infection Identified by Gene Expression Profile of Peripheral Blood Mononuclear Cells
title_full_unstemmed Novel Biomarkers Distinguishing Active Tuberculosis from Latent Infection Identified by Gene Expression Profile of Peripheral Blood Mononuclear Cells
title_short Novel Biomarkers Distinguishing Active Tuberculosis from Latent Infection Identified by Gene Expression Profile of Peripheral Blood Mononuclear Cells
title_sort novel biomarkers distinguishing active tuberculosis from latent infection identified by gene expression profile of peripheral blood mononuclear cells
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3164189/
https://www.ncbi.nlm.nih.gov/pubmed/21904626
http://dx.doi.org/10.1371/journal.pone.0024290
work_keys_str_mv AT luchanyi novelbiomarkersdistinguishingactivetuberculosisfromlatentinfectionidentifiedbygeneexpressionprofileofperipheralbloodmononuclearcells
AT wujing novelbiomarkersdistinguishingactivetuberculosisfromlatentinfectionidentifiedbygeneexpressionprofileofperipheralbloodmononuclearcells
AT wanghonghai novelbiomarkersdistinguishingactivetuberculosisfromlatentinfectionidentifiedbygeneexpressionprofileofperipheralbloodmononuclearcells
AT wangsen novelbiomarkersdistinguishingactivetuberculosisfromlatentinfectionidentifiedbygeneexpressionprofileofperipheralbloodmononuclearcells
AT diaoni novelbiomarkersdistinguishingactivetuberculosisfromlatentinfectionidentifiedbygeneexpressionprofileofperipheralbloodmononuclearcells
AT wangfeifei novelbiomarkersdistinguishingactivetuberculosisfromlatentinfectionidentifiedbygeneexpressionprofileofperipheralbloodmononuclearcells
AT gaoyan novelbiomarkersdistinguishingactivetuberculosisfromlatentinfectionidentifiedbygeneexpressionprofileofperipheralbloodmononuclearcells
AT chenjiazhen novelbiomarkersdistinguishingactivetuberculosisfromlatentinfectionidentifiedbygeneexpressionprofileofperipheralbloodmononuclearcells
AT shaolingyun novelbiomarkersdistinguishingactivetuberculosisfromlatentinfectionidentifiedbygeneexpressionprofileofperipheralbloodmononuclearcells
AT wengxinhua novelbiomarkersdistinguishingactivetuberculosisfromlatentinfectionidentifiedbygeneexpressionprofileofperipheralbloodmononuclearcells
AT zhangying novelbiomarkersdistinguishingactivetuberculosisfromlatentinfectionidentifiedbygeneexpressionprofileofperipheralbloodmononuclearcells
AT zhangwenhong novelbiomarkersdistinguishingactivetuberculosisfromlatentinfectionidentifiedbygeneexpressionprofileofperipheralbloodmononuclearcells