Trained immunity in autoinflammatory diseases: Cellular reprogramming across the monogenic–polygenic spectrum

Trained immunity, an innate immunological memory induced by epigenetic and metabolic reprogramming, has changed the paradigm of host defense and pathogenesis of chronic inflammatory disease. Unlike adaptive immunological memory, trained immunity is characterized by the ability of innate immune cells and their progenitors to respond more robustly or differently to subsequent stimulations and contributes to chronic inflammatory conditions. Emerging data suggests that this process might be essential in autoinflammatory and immune-mediated inflammatory illnesses by enhancing sterile inflammation, decreasing activation thresholds, and boosting disease chronicity. This narrative review summarizes the existing evidence relating trained immunity to monogenic and polygenic autoinflammatory diseases. The greatest evidence in monogenic disease is for mevalonate kinase deficiency, where dysregulated mevalonate metabolism directly overlaps with conventional trained immunity pathways. Moderate evidence exists for familial Mediterranean fever, cryopyrin-associated periodic syndromes, and tumor necrosis factor receptor-associated periodic syndrome. For other rare hereditary autoinflammatory diseases, data are still inadequate. There is convincing evidence for a role of trained immunity in polygenic disorders like gout, atherosclerosis, obesity-associated "metaflammation", and type 2 diabetes and increasing evidence in Behçet's disease, adult-onset Still's disease, psoriasis, hidradenitis suppurativa, inflammatory bowel disease, and related inflammatory spectrum disorders. A major conceptual finding is that autoinflammatory illnesses may be a dynamic interplay between hereditary susceptibility and dysfunctional innate immune memory, rather than isolated static inflammatory abnormalities. However, information gaps still exist in reprogramming at the progenitor level, disease-specific epigenetic markers, and the reversibility of trained states. Understanding these systems may allow the development of therapeutic techniques to de-train abnormal innate immunological memory and obtain resilience for diseases.