
The mechanisms underlying innate immune memory have been extensively explored in the last decades but are in fact largely unknown. Although the specificity of adaptive immune memory in vertebrates is ensured through the recombination of immunoglobulin family genes and clonal expansion, the basic mechanisms of innate immune cells’ nonspecific increased responsiveness rely on epigenetic, transcriptional, and metabolic programs after transient stimulation. Changes in these programs result in enhanced responsiveness to secondary challenges with a wide variety of stimuli. This phenomenon is termed “trained immunity” or “innate immune memory.” On one hand, trained immunity improves the response to infections and vaccination, facilitating stronger innate immune responses and enhanced protection against a variety of microbial stimuli. Conversely, trained immunity may contribute to the pathophysiology of cardiovascular, autoinflammatory, and neurodegenerative diseases. In this review, we gather the current body of knowledge in this field and summarize the foundations and mechanisms of trained immunity, the different cell types involved, its consequences for health and disease, and the potential of its modulation as a therapeutic tool.
Radboudumc 4: lnfectious Diseases and Global Health Internal Medicine, Radboud University Medical Center, Immunoglobulins, Adaptive Immunity, Immunity, Innate, Radboudumc 19: Nanomedicine Internal Medicine, Animals, Humans, Radboudumc 16: Vascular damage Internal Medicine, Immunologic Memory
Radboudumc 4: lnfectious Diseases and Global Health Internal Medicine, Radboud University Medical Center, Immunoglobulins, Adaptive Immunity, Immunity, Innate, Radboudumc 19: Nanomedicine Internal Medicine, Animals, Humans, Radboudumc 16: Vascular damage Internal Medicine, Immunologic Memory
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 154 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 0.1% |
