Abstract

Deciphering protection mechanisms against Mycobacterium tuberculosis (Mtb) remains a critical challenge for the development of new vaccines and therapies. We analyze the phenotypic and transcriptomic profile in lung of a novel tuberculosis (TB) nanoparticle-based boosting mucosal vaccine Nano-FP1, which combined to BCG priming conferred enhanced protection in mice challenged with low-dose Mtb. We analyzed the vaccine profile and efficacy at short (2 weeks), medium (7 weeks) and long term (11 weeks) post-vaccination, and compared it to ineffective Nano-FP2 vaccine. We observed several changes in the mouse lung environment by both nanovaccines, which are lost shortly after boosting. Additional boosting at long-term (14 weeks) recovered partially cell populations and transcriptomic profile, but not enough to enhance protection to infection. An increase in both total and resident memory CD4 and CD8 T cells, but no pro-inflammatory cytokine levels, were correlated with better protection. A unique gene expression pattern with differentially expressed genes revealed potential pathways associated to the immune defense against Mtb. Our findings provide an insight into the critical immune responses that need to be considered when assessing the effectiveness of a novel TB vaccine.

Highlights

  • Despite being well-known and treated for years, tuberculosis (TB) is the leading cause of death from a single infectious pathogen worldwide

  • The development of novel effective vaccines is hampered by the limited knowledge we have of the mechanisms that provide protection against Mycobacterium tuberculosis (Mtb)

  • Our findings suggest a critical role for the long-lived CD4+ T cell immunity that should be mandatory when assessing the effectiveness of a novel TB vaccine

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Summary

Introduction

Despite being well-known and treated for years, tuberculosis (TB) is the leading cause of death from a single infectious pathogen worldwide. Evidence supports the fundamental role of CD4+ T cells and cytokines (such as interferon gamma (IFNg) [4, 5], tumor necrosis factor alfa (TNFa), interleukins 2 (IL-2) [6,7,8,9], and 12 (IL-12) [10, 11]) in TB, there are still no reliable correlates of protection. In this scenario, it becomes difficult to predict the outcome of the disease or to monitor the efficacy of novel vaccines

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