Exploring Adverse Drug Reactions: Monitoring, Mechanism, Intervention, and Resolution

Adverse drug reactions (ADRs) represent a significant challenge to public health, affecting millions of patients worldwide. As pharmacological therapies become more complex and personalized, it becomes imperative to thoroughly understand the mechanisms and impacts of ADRs to enhance patient safety and therapeutic outcomes. Recent research highlights the multifaceted nature of ADRs, showcasing a wide spectrum of pathologies from mild cutaneous reactions to severe conditions like drug-induced liver injury and anaphylaxis. Despite developments in pharmacology, there remains a critical need for improved monitoring and intervention strategies to manage these reactions effectively.

This Research Topic seeks to provide a comprehensive exploration of ADRs, focusing on key areas including monitoring, mechanisms, intervention strategies, and resolution. It aims to cover a broad spectrum of research on ADRs, including the immune and non-immune mechanisms involved, strategies for monitoring and preventing ADRs, and novel approaches for their intervention and resolution. By assembling a range of studies—from molecular interactions to therapeutic management approaches—this topic endeavors to construct a holistic view of ADR pathways and resolution techniques, driving advancements in predictive models and personalized medical practices. Therefore, we welcome contributions on topics including, but not limited to:
• Mechanisms of ADRs
• Genetic, metabolic, and environmental risk factors associated with ADRs
• Novel diagnostic approaches and assays for ADR detection
• Molecular interactions between therapeutics and biological systems
• Studies on drug effects, such as anti-liver cancer mechanisms
• The impact of drug metabolism and transport in ADR pathogenesis
• Animal models and experimental systems to study ADRs
• Therapeutic and preventive strategies for managing ADRs
• Technological Advancements in ADR monitoring and personalized medicine
• Development of risk prediction models for ADRs

By fostering a comprehensive understanding of these elements, this Research Topic aims to enhance the predictability, diagnosis, and management of ADRs, contributing to safer drug utilization in clinical settings.

Keywords: Adverse drug reactions Risk prediction model, Personalized medicine, Drug metabolism, Experimental model

Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.