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Nanomotors as Therapeutic Agents: Advancing Treatment Strategies for Inflammation-Related Diseases
Min Luo1, Fu-Kun Zhao1, Yuan-Min Wang1
1The Third Affiliated Hospital of Zunyi Medical University, The First People's Hospital of Zunyi, Zunyi, Guizhou, 563000, China.
Abstract:
Inflammation is a physiological response of the body to harmful stimuli such as pathogens, damaged cells, or irritants, involving a series of cellular and molecular events. It is associated with various diseases including neurodegenerative disorders, cancer, and atherosclerosis, and is a leading cause of global mortality. Key inflammatory factors, such as Tumor Necrosis Factor-alpha (TNF-α), Interleukin-1 (IL-1), Interleukin-6 (IL-6), Monocyte Chemoattractant Protein-1 (MCP-1/CCL2), RANTES (CCL5), and prostaglandins, play central roles in inflammation and disease progression. Traditional treatments such as NSAIDs, steroids, biologic agents, and antioxidants have limitations. Recent advancements in nanomaterials present promising solutions for treating inflammation-related diseases. Unlike nanomaterials that rely on passive targeting and face challenges in precise drug delivery, nanomotors, driven by chemical or optical stimuli, offer a more dynamic approach by actively navigating to inflammation sites, thereby enhancing drug delivery efficiency and therapeutic outcomes. Nanomotors allow for controlled drug release in response to specific environmental changes, such as pH and inflammatory factors, ensuring effective drug concentrations at disease sites. This active targeting capability enables the use of smaller drug doses, which reduces overall drug usage, costs, and potential side effects compared to traditional treatments. By improving precision and efficiency, nanomotors address the limitations of conventional therapies and represent a significant advancement in the treatment of inflammation-related diseases. This review summarizes the latest research on nanomotor-mediated treatment of inflammation-related diseases and discusses the challenges and future directions for optimizing their clinical translation.
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