Literature DB >> 25158076

Comparative study of IgA VH 3 gene usage in healthy TST(-) and TST(+) population exposed to tuberculosis: deep sequencing analysis.

Siang Tean Chin1, Joshua Ignatius, Siti Suraiya, Gee Jun Tye, Maria E Sarmiento, Armando Acosta, Mohd Nor Norazmi, Theam Soon Lim.   

Abstract

The acquired immune response against tuberculosis is commonly associated with T-cell responses with little known about the role of B cells or antibodies. There have been suggestions that B cells and humoral immunity can modulate the immune response to Mycobacterium tuberculosis. However, the mechanisms involving B-cell responses in M. tuberculosis are not fully understood, in particular the antibody gene preferences. We hypothesized that a preferential use of V genes can be seen associated with resistance to infection mainly in the IgA isotype, which is of prominent importance for infection by pathogens via the mucosal route. We studied healthy individuals with long-term exposure to tuberculosis, infected (TST(+) ) and uninfected TST(-) ) with M. tuberculosis. From a total of 22 V genes analysed, the TST(-) population preferred the VH 3-23 and Vκ1 genes. The VH 3-23 genes were subsequently subjected to 454 amplicon sequencing. The TST(-) population showed a higher frequency of the D3-10 segment compared with the D3-22 segment for the TST(+) population. The J segment usage pattern was similar for both populations with J4 segment being used the most. A preferential pairing of J4 segments to D3-3 was seen for the TST(-) population. The antibodyome difference between both populations suggests a preference for antibodies with VH 3-23, D3-3, JH 4 gene usage by the TST(-) population that could be associated with resistance to infection with M. tuberculosis.
© 2014 John Wiley & Sons Ltd.

Entities:  

Keywords:  454 sequencing; V-D-J gene; VH3-23; antibody; tuberculosis

Mesh:

Substances:

Year:  2015        PMID: 25158076      PMCID: PMC4298424          DOI: 10.1111/imm.12372

Source DB:  PubMed          Journal:  Immunology        ISSN: 0019-2805            Impact factor:   7.397


  49 in total

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