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Screening and Assessing 11 Mycobacterium tuberculosis Proteins as Potential Serodiagnostical Markers for Discriminating TB Patients from BCG Vaccinees

Purified protein derivative (PPD) skin tests often yield poor specificity, so that to develop new serological antigens for distinguishing between Mycobacterium tuberculosis infection and Bacille Calmette-Guerin (BCG) vaccination is a priority, especially for developing countries like China. We predi...

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Autores principales: Zhang, Guoqiang, Zhang, Lingxia, Zhang, Mingcheng, Pan, Linlin, Wang, Fengyu, Huang, Jun, Li, Guoli, Yu, Jun, Hu, Songnian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5054411/
https://www.ncbi.nlm.nih.gov/pubmed/19944383
http://dx.doi.org/10.1016/S1672-0229(08)60039-X
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author Zhang, Guoqiang
Zhang, Lingxia
Zhang, Mingcheng
Pan, Linlin
Wang, Fengyu
Huang, Jun
Li, Guoli
Yu, Jun
Hu, Songnian
author_facet Zhang, Guoqiang
Zhang, Lingxia
Zhang, Mingcheng
Pan, Linlin
Wang, Fengyu
Huang, Jun
Li, Guoli
Yu, Jun
Hu, Songnian
author_sort Zhang, Guoqiang
collection PubMed
description Purified protein derivative (PPD) skin tests often yield poor specificity, so that to develop new serological antigens for distinguishing between Mycobacterium tuberculosis infection and Bacille Calmette-Guerin (BCG) vaccination is a priority, especially for developing countries like China. We predicted the antigenicity for selected open reading frames (ORFs) based on the genome sequences of M. tuberculosis H37Rv and M. bovis BCG, as well as their functions and differences of expression under different stimulus. The candidate ORFs were cloned from H37Rv sequences and expressed as recombinant proteins in Escherichia coli. We studied the serodiagnostic potential of 11 purified recombinants by using enzyme-linked immunosorbent assay (ELISA) and involving a cohort composed of 58 TB patients (34 males and 24 females), 8 healthy volunteers and 50 PPD-negative individuals before and after BCG vaccination. For all the 11 antigens, the median OD values for the sera from TB patients were statistically significantly higher than those for PPD-negative individuals before or after BCG vaccination (P<0.01). They had at least 92% specificity in healthy controls and six seroantigens (Rv0251c, Rv1973, Rv2376c, Rv2537c, Rv2785c and Rv3873A) were never reported with seroantigenicities previously. Thus the approach combining comparative genomics, bioinformatics and ELISA techniques can be employed to identify new seroantigens distinguishing M. tuberculosis infection from BCG vaccination.
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spelling pubmed-50544112016-10-14 Screening and Assessing 11 Mycobacterium tuberculosis Proteins as Potential Serodiagnostical Markers for Discriminating TB Patients from BCG Vaccinees Zhang, Guoqiang Zhang, Lingxia Zhang, Mingcheng Pan, Linlin Wang, Fengyu Huang, Jun Li, Guoli Yu, Jun Hu, Songnian Genomics Proteomics Bioinformatics Article Purified protein derivative (PPD) skin tests often yield poor specificity, so that to develop new serological antigens for distinguishing between Mycobacterium tuberculosis infection and Bacille Calmette-Guerin (BCG) vaccination is a priority, especially for developing countries like China. We predicted the antigenicity for selected open reading frames (ORFs) based on the genome sequences of M. tuberculosis H37Rv and M. bovis BCG, as well as their functions and differences of expression under different stimulus. The candidate ORFs were cloned from H37Rv sequences and expressed as recombinant proteins in Escherichia coli. We studied the serodiagnostic potential of 11 purified recombinants by using enzyme-linked immunosorbent assay (ELISA) and involving a cohort composed of 58 TB patients (34 males and 24 females), 8 healthy volunteers and 50 PPD-negative individuals before and after BCG vaccination. For all the 11 antigens, the median OD values for the sera from TB patients were statistically significantly higher than those for PPD-negative individuals before or after BCG vaccination (P<0.01). They had at least 92% specificity in healthy controls and six seroantigens (Rv0251c, Rv1973, Rv2376c, Rv2537c, Rv2785c and Rv3873A) were never reported with seroantigenicities previously. Thus the approach combining comparative genomics, bioinformatics and ELISA techniques can be employed to identify new seroantigens distinguishing M. tuberculosis infection from BCG vaccination. Elsevier 2009-09 2009-11-25 /pmc/articles/PMC5054411/ /pubmed/19944383 http://dx.doi.org/10.1016/S1672-0229(08)60039-X Text en © 2009 Beijing Institute of Genomics http://creativecommons.org/licenses/by-nc-sa/3.0/ This is an open access article under the CC BY-NC-SA license (http://creativecommons.org/licenses/by-nc-sa/3.0/).
spellingShingle Article
Zhang, Guoqiang
Zhang, Lingxia
Zhang, Mingcheng
Pan, Linlin
Wang, Fengyu
Huang, Jun
Li, Guoli
Yu, Jun
Hu, Songnian
Screening and Assessing 11 Mycobacterium tuberculosis Proteins as Potential Serodiagnostical Markers for Discriminating TB Patients from BCG Vaccinees
title Screening and Assessing 11 Mycobacterium tuberculosis Proteins as Potential Serodiagnostical Markers for Discriminating TB Patients from BCG Vaccinees
title_full Screening and Assessing 11 Mycobacterium tuberculosis Proteins as Potential Serodiagnostical Markers for Discriminating TB Patients from BCG Vaccinees
title_fullStr Screening and Assessing 11 Mycobacterium tuberculosis Proteins as Potential Serodiagnostical Markers for Discriminating TB Patients from BCG Vaccinees
title_full_unstemmed Screening and Assessing 11 Mycobacterium tuberculosis Proteins as Potential Serodiagnostical Markers for Discriminating TB Patients from BCG Vaccinees
title_short Screening and Assessing 11 Mycobacterium tuberculosis Proteins as Potential Serodiagnostical Markers for Discriminating TB Patients from BCG Vaccinees
title_sort screening and assessing 11 mycobacterium tuberculosis proteins as potential serodiagnostical markers for discriminating tb patients from bcg vaccinees
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5054411/
https://www.ncbi.nlm.nih.gov/pubmed/19944383
http://dx.doi.org/10.1016/S1672-0229(08)60039-X
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