Screening and Assessing 11 Mycobacterium tuberculosis Proteins as Potential Serodiagnostical Markers for Discriminating TB Patients from BCG Vaccinees
10.1016/S1672-0229(08)60039-X
- Author:
Zhang GUOQIANG
1
,
2
;
Zhang LINGXIA
;
Zhang MINGCHENG
;
Pan LINLIN
;
Wang FENGYU
;
Huang JUN
;
Li GUOLI
;
Yu JUN
;
Hu SONGNIAN
Author Information
1. CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100029, China
2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China
- Keywords:
comparative genomics;
M. tuberculosis;
BCG;
seroantigen;
ELISA
- From:
Genomics, Proteomics & Bioinformatics
2009;7(3):107-115
- CountryChina
- Language:Chinese
-
Abstract:
Purified protein derivative(PPD)skin tests often yield poor specificity, so that to develop new serological antigens for distinguishing between Mycobacterium tu-berculosis 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. tu-berculosis 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 coll. 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 val-ues 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 genomies, bioinformatics and ELISA techniques can be employed to identify new seroantigens distinguishing M. tuberculosis infection from BCG vaccination.
