HydrogelsPaper

Hydrogel-Based Treatment of Diabetic Wounds: From Smart Responsive to Smart Monitoring

Xinghan He, Yongyi Wei, Ke Xu · MDPI AG · 2025

Smart hydrogels offer advanced solutions for diabetic wound management through environmental responsiveness and real-time monitoring capabilities.

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Plain English summary

Diabetic wounds are difficult to heal due to various factors like high blood sugar and infections. Traditional hydrogel dressings often fall short in treating these complex wounds. This review discusses how smart hydrogels, which can respond to changes in the wound environment, can improve healing by releasing necessary agents when needed.

Why this matters

This research is significant because it addresses the challenges of treating chronic diabetic wounds, which affect many individuals and can lead to severe complications. By enhancing wound care with smart hydrogels, there is potential for better patient outcomes and reduced healthcare costs.

Key findings

  • Smart hydrogels can respond to stimuli like pH and glucose levels.
  • They enable on-demand release of antimicrobial agents and growth factors.
  • Recent advances include hydrogel-based sensors for real-time monitoring.
  • Challenges in material development and manufacturing scalability are highlighted.
  • The review discusses prospects for precision diagnostics in diabetic wound care.

What's new

The review systematically elucidates the mechanisms of smart hydrogels and highlights recent advances in monitoring technologies for diabetic wounds.

Limitations

The abstract does not provide specific experimental results or data supporting the claims made about smart hydrogels.

Commercial context

The abstract does not mention any commercial availability or readiness of the discussed materials.

Publication

Publisher
MDPI AG
Publication date
August 15, 2025
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