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An Adoptive Transfer Model of Rheumatoid Arthritis in Mice
Published on: June 6, 2025
Stimuli-Responsive Nanoplatforms for Precision Intervention in Rheumatoid Arthritis
Ao Li1, Qi Chen1, Jingyi Zhong1
1School of Pharmacy and State Key Laboratory of Mechanism and Quality Research in Chinese Medicine, Macau University of Science and Technology, Macao, China.
Abstract:
Rheumatoid arthritis (RA) is a chronic autoimmune disorder characterized by persistent synovial inflammation and progressive joint destruction. While conventional pharmacotherapies form the cornerstone of RA management, their efficacy is often limited by suboptimal therapeutic outcomes and severe systemic toxicity. In this context, stimuli-responsive nanoplatforms (SR-NPs) have emerged as a promising approach for precision treatment of RA, enabling on-demand drug release triggered by disease-specific endogenous (e.g., pH, ROS, enzymes, GSH, hypoxia) or exogenous (e.g., light, ultrasound, magnetic fields, heat) cues. This review provides a systematic overview of the cutting-edge applications of SR-NPs, categorizing them into endogenous (single- and multi-stimuli), exogenous (single- and multi-stimuli), and hybrid endogenous-exogenous (e.g., ROS/pH/light, GSH/heat) responsive systems. We critically evaluate the design principles, targeting mechanisms, therapeutic payloads, and performance of each category in preclinical RA models. Our analysis reveals that endogenous systems leverage the pathological microenvironment for disease-dependent actuation, exogenous platforms offer tunable spatiotemporal control, while hybrid designs represent an emerging trend toward synergistic and programmable precision. Despite promising advances in enhanced joint retention and effective inflammation suppression, key challenges concerning stimulus heterogeneity, long-term biocompatibility, and clinical translation remain to be addressed. Taken together, this work underscores the evolution of SR-NPs into intelligent and multifaceted therapeutics, thereby providing a potential framework for personalized RA management.
Insights
Stimuli-responsive nanoplatforms offer precision treatment for rheumatoid arthritis (RA) by releasing drugs on demand. These intelligent systems show promise for personalized RA management, overcoming limitations of conventional therapies.
Area of Science:
- Biomedical Engineering
- Materials Science
- Immunology
Background:
- Rheumatoid arthritis (RA) is a chronic autoimmune disease causing joint inflammation and destruction.
- Conventional RA treatments have limited efficacy and significant systemic toxicity.
- Stimuli-responsive nanoplatforms (SR-NPs) offer targeted drug delivery for RA.
Purpose of the Study:
- To systematically review cutting-edge applications of SR-NPs for RA precision treatment.
- To categorize SR-NPs based on their responsiveness (endogenous, exogenous, hybrid).
- To evaluate design, targeting, payloads, and performance in preclinical RA models.
Main Methods:
- Review of preclinical studies on SR-NPs for rheumatoid arthritis.
- Categorization of SR-NPs into single/multi-stimuli endogenous, exogenous, and hybrid systems.
- Critical evaluation of SR-NP design principles, targeting strategies, and therapeutic payloads.
Main Results:
- Endogenous SR-NPs utilize the RA microenvironment for drug release.
- Exogenous SR-NPs provide tunable spatiotemporal control over drug delivery.
- Hybrid SR-NPs demonstrate synergistic and programmable therapeutic potential.
- SR-NPs show enhanced joint retention and inflammation suppression in preclinical models.
Conclusions:
- SR-NPs represent intelligent, multifaceted therapeutics for RA.
- These platforms offer a framework for personalized RA management.
- Challenges in stimulus heterogeneity, biocompatibility, and clinical translation require further investigation.
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