Recombinant BCG-LTAK63 Vaccine Candidate for Tuberculosis Induces an Inflammatory Profile in Human Macrophages.
Carina Carvalho Dos SantosKimberley V WalburgSuzanne van VeenLouis G WilsonCarlos Eduardo Madureira TrufenIvan P NascimentoTom H M OttenhoffLuciana C C LeiteMariëlle C HaksPublished in: Vaccines (2022)
Tuberculosis (TB) is one of the top 10 leading causes of death worldwide. The recombinant BCG strain expressing the genetically detoxified A subunit of the thermolabile toxin from Escherichia coli (LTAK63) adjuvant (rBCG-LTAK63) has previously been shown to confer superior protection and immunogenicity compared to BCG in a murine TB infection model. To further investigate the immunological mechanisms induced by rBCG-LTAK63, we evaluated the immune responses induced by rBCG-LTAK63, BCG, and Mycobacterium tuberculosis ( Mtb ) H37Rv strains in experimental infections of primary human M1 and M2 macrophages at the transcriptomic and cytokine secretion levels. The rBCG-LTAK63-infected M1 macrophages more profoundly upregulated interferon-inducible genes such as IFIT3 , OAS3 , and antimicrobial gene CXCL9 compared to BCG, and induced higher levels of inflammatory cytokines such as IL-12(p70), TNF-β, and IL-15. The rBCG-LTAK63-infected M2 macrophages more extensively upregulated transcripts of inflammation-related genes, TAP1 , GBP1 , SLAMF7 , TNIP1 , and IL6 , and induced higher levels of cytokines related to inflammation and tissue repair, MCP-3 and EGF, as compared to BCG. Thus, our data revealed an important signature of immune responses induced in human macrophages by rBCG-LTAK63 associated with increased inflammation, activation, and tissue repair, which may be correlated with a protective immune response against TB.
Keyphrases
- mycobacterium tuberculosis
- immune response
- endothelial cells
- escherichia coli
- high glucose
- oxidative stress
- pulmonary tuberculosis
- diabetic rats
- dendritic cells
- early stage
- rheumatoid arthritis
- toll like receptor
- genome wide
- pluripotent stem cells
- single cell
- drug induced
- big data
- staphylococcus aureus
- gene expression
- multidrug resistant
- dna methylation
- electronic health record
- copy number
- deep learning
- growth factor
- hiv aids
- artificial intelligence
- antiretroviral therapy
- bioinformatics analysis