Current Understanding of Bacillus Calmette-Guérin-Mediated Trained Immunity and Its Perspectives for Controlling Intracellular Infections.
Ana Carolina V S C de AraujoFábio MambelliRodrigo O SanchesFábio Antônio Vitarelli MarinhoSergio C OliveiraPublished in: Pathogens (Basel, Switzerland) (2023)
The bacillus Calmette-Guérin (BCG) is an attenuated bacterium derived from virulent Mycobacterium bovis . It is the only licensed vaccine used for preventing severe forms of tuberculosis in children. Besides its specific effects against tuberculosis, BCG administration is also associated with beneficial non-specific effects (NSEs) following heterologous stimuli in humans and mice. The NSEs from BCG could be related to both adaptive and innate immune responses. The latter is also known as trained immunity (TI), a recently described biological feature of innate cells that enables functional improvement based on metabolic and epigenetic reprogramming. Currently, the mechanisms related to BCG-mediated TI are the focus of intense research, but many gaps are still in need of elucidation. This review discusses the present understanding of TI induced by BCG, exploring signaling pathways that are crucial to a trained phenotype in hematopoietic stem cells and monocytes/macrophages lineage. It focuses on BCG-mediated TI mechanisms, including the metabolic-epigenetic axis and the inflammasome pathway in these cells against intracellular pathogens. Moreover, this study explores the TI in different immune cell types, its ability to protect against various intracellular infections, and the integration of trained innate memory with adaptive memory to shape next-generation vaccines.
Keyphrases
- immune response
- induced apoptosis
- stem cells
- resistance training
- mycobacterium tuberculosis
- cell cycle arrest
- signaling pathway
- gene expression
- dendritic cells
- working memory
- reactive oxygen species
- machine learning
- endoplasmic reticulum stress
- body composition
- oxidative stress
- bone marrow
- pi k akt
- young adults
- deep learning
- cell death
- metabolic syndrome
- cell proliferation
- high fat diet induced
- cell therapy
- drug induced
- insulin resistance
- gram negative
- hiv infected
- human immunodeficiency virus