Whole cell & culture filtrate proteins from prevalent genotypes of Mycobacterium tuberculosis provoke better antibody & T cell response than laboratory strain H37Rv
ABSTRACT The immune responses to different antigens of Mycobacterium tuberculosis H 37 Rv vary from patient to patient with tuberculosis (TB). Therefore, significant difference might be documented between the H 37 Rv with long histories of passages and recent clinical isolates of M. tuberculosis. In the present study, immune response of TB patients and healthy controls against 39 clinical M. tuberculosis isolates was correlated with laboratory strain H 37 Rv.
The antibody response was studied coating whole cell extracts and culture filtrate proteins of M. tuberculosis isolates and laboratory strain H 37Rv by enzyme linked immunosorbent assay (ELISA). Lymphoproliferation was studied by incorporation of tritiated thymidine and cytokines (IFN-γ and IL-4) by using commercially available kits.
Sero-reactivity to whole cell extract (WCE) of 11 clinical isolates was higher with pooled serum and individual's serum from tuberculosis patients showed significant reactivity (P<0.05) to ten of these isolates using ELISA. Of the WCE of 39 clinical isolates, 10 were found to be potent inducer of lymphoproliferation as well as cytokine secretion (P<0.05) in peripheral blood mononuclear cells from PPD+ healthy controls. Six culture filtrate proteins (CFPs) from these selected clinical isolates were also better inducers of antibody and T-cell response.
Overall, our results revealed that the clinical isolates belonging to prevalent genotypes; CAS1_Del (ST-26), East African-Indian (ST-11) and Beijing family (ST-1) induced better antibody and T cell responses compared to H 37 Rv laboratory strain. Further studies need to be done to purify and identify the dominant protein (s) using whole cell extract and culture filtrates from these immunologically relevant clinical M. tuberculosis isolates, which will be worthwhile to find out pathogenic factors, potential diagnostic markers and protective molecules for tuberculosis.
Scandinavian journal of clinical and laboratory investigation. Supplementum 02/1968; 97:7.
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ABSTRACT: We present a novel approach for analysis of Mycobacterium tuberculosis complex (MTC) strain genotyping data. Our work presents a first step in an ongoing project dedicated to the development of decision support tools for tuberculosis (TB) epidemiologists exploiting both genotyping and epidemiological data. We focus on spacer oligonucleotide typing (spoligotyping), a genotyping method based on analysis of a direct repeat (DR) locus. We use mixture models to identify strain families of MTC based on their spoligotyping patterns. Our algorithm, SPOTCLUST, incorporates biological information on spoligotype evolution, without attempting to derive the full phylogeny of MTC. We applied our algorithm to 535 different spoligotype patterns identified among 7166 MTC strains isolated between 1996 and 2004 from New York State TB patients. Two models were employed and validated: a 36-component model based on global spoligotype database SpolDB3, and a randomly initialized model (RIM) containing 48 components. Our analysis both confirmed previously expert-defined families of MTC strains and suggested certain new families. SPOTCLUST, which is available online, can be further improved by incorporating data obtained using additional strain genetic markers and epidemiological information. We demonstrate on New York City (NYC) patient data how the resulting models can potentially form the basis of TB control tools using genotyping.Infection Genetics and Evolution 12/2006; 6(6):491-504. DOI:10.1016/j.meegid.2006.03.003 · 3.26 Impact Factor
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