To synthesize current evidence on the immunopathogenesis of paradoxical inflammatory reactions during biologic therapy and propose a practical diagnostic and therapeutic algorithm to enhance clinical outcomes.
Key Findings:
Paradoxical inflammatory reactions can emerge as a result of selective immune pressure from biologic therapies, necessitating careful monitoring.
These reactions may involve dynamic shifts in immune homeostasis, leading to new inflammatory phenotypes that require tailored treatment approaches.
The Th1/Th17 and Th2 axes can interact, with targeted suppression of one axis potentially unmasking the other, highlighting the need for comprehensive treatment strategies.
Type I interferons and JAK/STAT signaling can amplify inflammatory responses, contributing to paradoxical reactions, which should be considered in treatment planning.
Interpretation:
Flip–flop phenomena represent a systems-level process of immune reprogramming rather than coincidental adverse events, suggesting a need for tailored therapeutic strategies that consider individual patient profiles.
Limitations:
The review is narrative and not a systematic analysis, which may limit comprehensive coverage of all relevant studies and introduce selection bias.
The proposed algorithm requires validation through clinical trials to establish efficacy and safety, which is essential for clinical adoption.
Conclusion:
Recognizing immune rebalancing as a therapeutic goal may improve treatment outcomes for patients receiving biologic agents, particularly when guided by the proposed algorithm.
A large audit of biomedical publications suggests fabricated references are increasingly appearing in peer-reviewed papers — often in ways that are difficult for reviewers and readers to detect.