Immune recognition surface construction of Mycobacterium tuberculosis epitope-specific antibody responses in tuberculosis patients identified by peptide microarrays

• Main Authors: Davide Valentini, Martin Rao, Giovanni Ferrara, Marc Perkins, Ernest Dodoo, Alimuddin Zumla, Markus Maeurer
• Format: Article
• Language: English
• Published: Elsevier 2017-03-01
• Series: International Journal of Infectious Diseases
• Subjects: Tuberculosis; Mycobacterium tuberculosis; Peptide microarray; Immune recognition surfaces; Humoral immune response
• Online Access: http://www.sciencedirect.com/science/article/pii/S1201971217300188

Background: Understanding of humoral immune responses in tuberculosis (TB) is gaining interest, since B-cells and antibodies may be important in diagnosis as well as protective immune responses. High-content peptide microarrays (HCPM) are highly precise and reliable for gauging specific antibody responses to pathogens, as well as autoantigens. Methods: An HCPM comprising epitopes spanning 154 proteins of Mycobacterium tuberculosis was used to gauge specific IgG antibody responses in sera of TB patients from Africa and South America. Open source software for general access to this method is provided. Results: The IgG response pattern of TB patients differs from that of healthy individuals, with the molecular complexity of the antigens influencing the strength of recognition. South American individuals with or without TB exhibited a generally stronger serum IgG response to the tested M. tuberculosis antigens compared to their African counterparts. Individual M. tuberculosis peptide targets were defined, segregating patients with TB from Africa versus those from South America. Conclusions: These data reveal the heterogeneity of epitope-dependent humoral immune responses in TB patients, partly due to geographical setting. These findings expose a new avenue for mining clinically meaningful vaccine targets, diagnostic tools, and the development of immunotherapeutics in TB disease management or prevention.