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March 16, 2026Regenerative Biomaterials2 citationsOpen Access

Stimuli-Responsive Hydrogels for Radiation-Induced Skin Injury: From Passive Barriers to Autonomous Drug Delivery Systems

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KZKai ZhangCXChulan XiaoYWYuanyuan Wang

Key Points

  • The central aim is to explore advanced hydrogel technologies for managing radiation-induced skin injuries with precision.
  • Classified hydrogel systems into three generations based on functionality.
  • Correlated RISI microenvironment parameters with polymer design specifications.
  • Performed single-cell transcriptomic analysis to identify key cellular targets.
  • Examined enabling technologies like AI-guided optimization and 3D bioprinting.
  • Highlighted the need for quantitative insights in designing hydrogel formulations.
  • Identified specific fibroblast and endothelial cell populations as targets for intervention.
  • Noted that some hydrogel formulations unexpectedly delayed healing.

Abstract

Abstract Radiation-induced skin injury (RISI) affects over 95% of radiotherapy patients. Current clinical management remains confined to passive supportive care, lacking mechanistic precision for RISI's unique pathophysiology. This review adopts a function-centric perspective, classifying hydrogel systems across three generations: first-generation passive moisture barriers; second-generation bioactive platforms incorporating antioxidants, growth factors, stem cells, and exosomes; and third-generation stimuli-responsive systems integrating autonomous drug release, self-healing capabilities, and biosensor monitoring. We establish quantitative design thresholds by correlating RISI microenvironment parameters (pH 6.5-7.0, ROS 100-500 μM, MMP-9 elevation 5-10×) with responsive polymer specifications. Single-cell transcriptomic analysis has identified pro-inflammatory IL-17+ secretory fibroblasts and dysfunctional lymphatic endothelial cells as key dysregulated populations, thereby defining precise cellular targets amenable to hydrogel-based intervention. However, randomized trials demonstrate that certain hydrogel formulations unexpectedly prolonged healing, underscoring the need for design strategies based on quantitative pathophysiological insights rather than passive empiricism. We systematically examine enabling technologies—AI-guided materials optimization, 3D bioprinting, and wearable biosensor integration—while addressing translational barriers including regulatory complexity, manufacturing scalability, and standardized preclinical models. This framework provides actionable design principles to accelerate clinical deployment of next-generation hydrogels for millions of cancer survivors.

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Cite This Study

Zhang et al. (2026) studied this question.

synapsesocial.com/papers/69b79e6e8166e15b153abbdehttps://doi.org/10.1093/rb/rbag056
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