An RNA-Based Vaccine Platform for Use against Mycobacterium tuberculosis .
Sasha E LarsenJesse H ErasmusValerie A ReeseTiffany PecorJacob ArcherAmit KandaharFan-Chi HsuKatrina NicholesSteven G ReedSusan L BaldwinRhea N ColerPublished in: Vaccines (2023)
Mycobacterium tuberculosis (M.tb), a bacterial pathogen that causes tuberculosis disease (TB), exerts an extensive burden on global health. The complex nature of M.tb, coupled with different TB disease stages, has made identifying immune correlates of protection challenging and subsequently slowing vaccine candidate progress. In this work, we leveraged two delivery platforms as prophylactic vaccines to assess immunity and subsequent efficacy against low-dose and ultra-low-dose aerosol challenges with M.tb H37Rv in C57BL/6 mice. Our second-generation TB vaccine candidate ID91 was produced as a fusion protein formulated with a synthetic TLR4 agonist (glucopyranosyl lipid adjuvant in a stable emulsion) or as a novel replicating-RNA (repRNA) formulated in a nanostructured lipid carrier. Protein subunit- and RNA-based vaccines preferentially elicit cellular immune responses to different ID91 epitopes. In a single prophylactic immunization screen, both platforms reduced pulmonary bacterial burden compared to the controls. Excitingly, in prime-boost strategies, the groups that received heterologous RNA-prime, protein-boost or combination immunizations demonstrated the greatest reduction in bacterial burden and a unique humoral and cellular immune response profile. These data are the first to report that repRNA platforms are a viable system for TB vaccines and should be pursued with high-priority M.tb antigens containing CD4+ and CD8+ T-cell epitopes.
Keyphrases
- mycobacterium tuberculosis
- immune response
- low dose
- pulmonary tuberculosis
- global health
- dendritic cells
- toll like receptor
- pulmonary hypertension
- early stage
- high dose
- high throughput
- risk factors
- fatty acid
- type diabetes
- inflammatory response
- machine learning
- binding protein
- metabolic syndrome
- deep learning
- small molecule
- big data
- nucleic acid
- mass spectrometry
- human immunodeficiency virus
- nuclear factor
- bacillus subtilis