Understanding the Role of M13 Bacteriophage Thin Films on a Metallic Nanostructure through a Standard and Dynamic Model.

The dynamic and surface manipulation of the M13 bacteriophage via the meeting application demands the creation of a pathway to design efficient applications with high selectivity and responsivity rates. Here, we report the role of the M13 bacteriophage thin film layer that is deposited on an optical nanostructure involving gold nanoparticles/SiO2/Si, as well as its influence on optical and geometrical properties. The thickness of the M13 bacteriophage layer was controlled by varying either the concentration or humidity exposure levels, and optical studies were conducted. We designed a standard and dynamic model based upon three-dimensional finite-difference time-domain (3D FDTD) simulations that distinguished the respective necessity of each model under variable conditions. As seen in the experiments, the origin of respective peak wavelength positions was addressed in detail with the help of simulations. The importance of the dynamic model was noted when humidity-based experiments were conducted. Upon introducing varied humidity levels, the dynamic model predicted changes in plasmonic properties as a function of changes in NP positioning, gap size, and effective index (this approach agreed with the experiments and simulated results). We believe that this work will provide fundamental insight into understanding and interpreting the geometrical and optical properties of the nanostructures that involve the M13 bacteriophage. By combining such significant plasmonic properties with the numerous benefits of M13 bacteriophage (like low-cost fabrication, multi-wavelength optical characteristics devised from a single structure, reproducibility, reversible characteristics, and surface modification to suit application requirements), it is possible to develop highly efficient integrated plasmonic biomaterial-based sensor nanostructures.

Differentiation of antigen-specific T cells with limited functional capacity during Mycobacterium tuberculosis infection.

Despite the generation of Mycobacterium tuberculosis-specific T cell immune responses during the course of infection, only 5 to 10% of exposed individuals develop active disease, while others develop a latent infection. This phenomenon suggests defective M. tuberculosis-specific immunity, which necessitates more careful characterization of M. tuberculosis-specific T cell responses. Here, we longitudinally analyzed the phenotypes and functions of M. tuberculosis-specific T cells. In contrast to the functional exhaustion of T cells observed after chronic infection, M. tuberculosis-specific CD8(+) T cells differentiated into either effector (CD127(lo) CD62L(lo)) or effector memory (CD127(hi) CD62L(lo)) cells, but not central memory cells (CD127(hi) CD62L(hi)), with low programmed death 1 (PD-1) expression, even in the presence of high levels of bacteria. Additionally, M. tuberculosis-specific CD8(+) and CD4(+) T cells produced substantial levels of tumor necrosis factor alpha (TNF-α) and gamma interferon (IFN-γ), but not interleukin 2 (IL-2), upon in vitro restimulation. Among M. tuberculosis-specific CD8(+) T cells, CD127(hi) effector memory cells displayed slower ongoing turnover but greater survival potential. In addition, these cells produced more IFN-γ and TNF-α and displayed lytic activity upon antigen stimulation. However, the effector function of M. tuberculosis-specific CD8(+) CD127(hi) effector memory T cells was inferior to that of canonical CD8(+) CD127(hi) memory T cells generated after acute lymphocytic choriomeningitis virus infection. Collectively, our data demonstrate that M. tuberculosis-specific T cells can differentiate into memory T cells during the course of M. tuberculosis infection independent of the bacterial burden but with limited functionality. These results provide a framework for further understanding the mechanisms of M. tuberculosis infection that can be used to develop more effective vaccines.