HydrogelsPaper

Smart Hydrogel for the Treatment of Rheumatoid Arthritis

Wenfeng Jiao, Xueya Wang, Hui Xu, Yang Fei, Yong Jin · MDPI AG · 2026

Smart hydrogels show promise for targeted drug delivery in rheumatoid arthritis treatment, addressing limitations of conventional therapies.

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Plain English summary

This review focuses on smart hydrogels as a novel approach for treating rheumatoid arthritis (RA). It highlights their unique properties, such as biocompatibility and the ability to respond to various stimuli for controlled drug release. The paper discusses preparation strategies and the challenges faced in clinical translation.

Why this matters

Rheumatoid arthritis is a debilitating condition that affects many individuals, and current treatments often fall short due to side effects and inefficiencies. Smart hydrogels could revolutionize RA treatment by providing targeted therapy, potentially improving patient outcomes and quality of life.

Key findings

  • Smart hydrogels have unique three-dimensional hydrophilic networks.
  • They offer excellent biocompatibility and tunable properties.
  • Stimulus-responsive mechanisms enable controlled drug delivery.
  • Temperature-responsive and multi-responsive hydrogels are particularly promising.
  • Challenges include long-term biocompatibility and scalable manufacturing.

What's new

The review provides a comprehensive overview of the design principles and preparation strategies for smart hydrogels specifically tailored for RA treatment.

Limitations

The review acknowledges challenges in clinical translation, including insufficient long-term biocompatibility data and difficulties in scalable manufacturing.

Commercial context

The clinical translation of smart hydrogels faces significant challenges that need to be addressed before commercial application.

Publication

Publisher
MDPI AG
Publication date
March 4, 2026
Research type
Paper
License
https://creativecommons.org/licenses/by/4.0/

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Method note: Summaries and ratings on this page are generated by AI from the abstract only. Read the original paper for full context. · Model: gpt-4o-mini-2024-07-18