Latency in Pulmonary Tuberculosis

Pulmonary Tuberculosis Clinical Trial

Official title: Characterization of Immune Responses in Treatment-induced Latency in Pulmonary Tuberculosis

Status Completed

Clinical Trial Summary

The immune responses in latent tuberculosis are poorly understood. While it is difficult to define the onset of latency during natural infection, patients undergoing treatment for tuberculosis are driven into a state of latency or cure. The present study on the effect of 3 and 4 month regimens containing moxifloxacin in sputum smear and culture positive pulmonary tuberculosis (TRC Study number 24) offers us the opportunity to study definitive immune responses pre and post treatment. We will evaluate a variety of innate and adaptive immune responses in patients before and after treatment and our study will compare the differences in immuno-phenotype (eg. Markers of T, B and NK cell activation, proliferation and regulatory phenotype) and function (eg. Production of cytokines, proliferative responses to TB antigens) at different time points following treatment. In addition, since a small percentage of patients will undergo relapse following treatment, the kinetics of immune responses in these patients will used to assess immunological predictors of relapse in tuberculosis.

Clinical Trial Description

Although Mycobacterium tuberculosis (Mtb) infects approximately 2 billion people worldwide, 90% of Mtb infected individuals are able to resist overt disease (active tuberculosis) development and manifest only latent infection. Latent tuberculosis (TB) is defined as the persistent presence of live Mtb within an infected host without causing disease. It is characterized by a delayed type hypersensitivity response to purified protein derivative (PPD) mediated by mycobacteria specific T cells. During latency, Mtb is contained in localized granulomas where the mycobacteria reside in macrophages and in which growth and replication appears to be constrained. Maintenance of the granulomatous lesion is mediated by CD4+ and CD8+ T cells. Based on murine models, immunity to Mtb requires Th1 responses and (to a lesser extent) Th17 responses. Thus, IL 12, IFN gamma, and TNF alpha (and IL 17 and IL 23) all play important roles in induction and maintenance of protective immune responses against tuberculous disease. Although CD4+ T lymphocytes of Th1 type are critical for protective immunity, evidence exists that CD8+ T cells as well as unconventional T cells (gamma-delta T cells and CD 1 restricted T cells) contribute to optimum protection in susceptible animal models. Aside from producing cytokines that activate macrophages and initiate granuloma formation, T cells also have direct mycobactericidal activities through the concerted actions of perforins and granulysins.

T cell differentiation into Th1 and Th2 lineages based on their cytokine profile and transcription factor expression has served as the basis of our understanding the pathogenesis of a variety of infectious and allergic diseases. With the advent of newer techniques, T cell differentiation has expanded into several subsets, including Tregs, Th17 cells, and polyfunctional T cells, among others. Th1 cells are absolutely essential for resistance to TB both in mice and humans. Deficiencies in the IL 12 IFN gamma Stat1 pathway leads to disseminated mycobacterial infection in humans and to abrogation of resistance in mice. In addition, TNF alpha, another Th1 cytokine, is of almost equal importance, as treatment with biologics (e.g., anti TNF alpha antibodies) for inflammatory disorders such as rheumatoid arthritis has caused reactivation of TB in some individuals.

Latent TB can be maintained for the lifetime of the individual unless the immunological balance between the host and the pathogen is perturbed, resulting in reactivation of Mtb and active disease. The host and environmental factors involved in compromising the ability to contain latent infection are human immunodeficiency virus co infection, malnutrition, aging, stress, Type 2 diabetes, use of immunosuppressive agents, and other genetic factors. On the pathogen side, latency is thought to reflect a transition from replicating to nonreplicating dormant bacilli, with this transition being influenced by a variety of factors including oxygen deprivation and nitric oxide. The use of in vitro and in vivo models of latency combined with genome wide transcriptome profiling has led to the identification of Mtb genes highly expressed during latency called dosR or devR (dormancy) genes; however, each of the host and pathogen related factors controlling resistance and/or susceptibility to TB awaits complete elucidation.

The subsets of CD4+ T cells constitute an ever expanding repertoire, classified by their discrete cytokine profiles and often by expression of prototypical transcription factors and/or cell surface molecules. Two relatively newly emerging CD4+ T cell subsets of importance are Th17 cells, characterized by production of IL 17 family of cytokines, and regulatory T cells (Tregs), characterized by surface expression of CD25 and the transcription factor FoxP3. Little is known about the role of these two subsets in latent TB. The mechanism by which Mtb subverts immune responses to establish chronic, latent infection is also not well understood. Recently, a number of regulatory factors, including Tregs, IL 10, TGF-beta, CTLA 4, and PD 1, have been implicated in the establishment of chronic viral, bacterial, and parasitic infections.

The role of T, B and NK cells in the evolution of the immune response following therapy in Mycobacterium tuberculosis infection has to be elucidated. The development of cellular immune responses in TB-infected patients post-chemotherapy to delineate the cellular arms of immunity in response to crude and defined TB antigens in treated patients needs to be studied. ;

Related Conditions & MeSH terms

• Pulmonary Tuberculosis
• Tuberculosis
• Tuberculosis, Pulmonary

• NCT number: NCT01154959
• Study type: Interventional
• Source: Tuberculosis Research Centre, India
• Status: Completed
• Phase: Phase 3
• Start date: February 2010
• Completion date: July 2016