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Paradoxical inflammatory switches during biologic therapy: a mechanistic framework, clinical algorithm, and pediatric
Małgorzata Kowacka1, Michał Dec1, Hubert Arasiewicz1
1Clinical Department of Pediatric Dermatology and Vascular Anomalies, Faculty of Medical Sciences in Katowice, Medical University of Silesia, John Paul II Children's and Family Health Center, Sosnowiec, Poland.
Paradoxical inflammatory reactions, or flip-flop phenomena, during biologic therapy can arise from immune pathway shifts. This review synthesizes evidence and offers a clinical algorithm for managing these complex immune responses in pediatric patients.
Area of Science:
- Immunology
- Dermatology
- Pediatrics
Background:
- Biologic therapies targeting specific immune pathways can paradoxically trigger inflammatory reactions, termed flip-flop phenomena.
- These reactions involve new inflammatory phenotypes or disease exacerbation despite prior treatment success.
- A unified mechanistic framework and clinical approach are lacking, especially in pediatric populations.
Purpose of the Study:
- To synthesize evidence on the immunopathogenesis of flip-flop reactions.
- To propose a mechanistic framework for paradoxical inflammation during biologic therapy.
- To introduce a practical diagnostic and therapeutic algorithm for managing these reactions.
Main Methods:
- Narrative review of current evidence on flip-flop reactions.
- Focus on interactions between Th1/Th17, Th2, and interferon-JAK/STAT immune axes.
- Presentation of five pediatric cases illustrating distinct paradoxical inflammatory phenotypes.
Main Results:
- Paradoxical inflammation may result from selective immune pressure, leading to immune rebalancing.
- Distinct pathways contribute to eczematous, psoriasiform, and interferon-driven phenotypes.
- A diagnostic and therapeutic algorithm for early recognition and management was developed.
Conclusions:
- Paradoxical inflammatory reactions during biologic therapy are mechanistically consistent events.
- Immune rebalancing is a key therapeutic goal for managing these reactions.
- The proposed algorithm aids in the rational treatment selection and improved outcomes for patients receiving biologic agents.
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