The development of advanced wound healing materials for deep burn injuries remains a crucial challenge in biomedical fields.Here,we developed a multifunctional mineralized hydrogel dressing composed of sodium hyaluron...The development of advanced wound healing materials for deep burn injuries remains a crucial challenge in biomedical fields.Here,we developed a multifunctional mineralized hydrogel dressing composed of sodium hyaluronate(HA),Rhein,and Zn^(2+)(denoted as HRZn hydrogel)for enhanced deep burn wound healing.The HRZn hydrogel was readily prepared by directly mixing HA,Rhein,and Zn^(2+)and formed through a synergistic combination of in situ mineralization and dynamic crosslinking processes.Notably,we showed that Zn^(2+)could effectively induce the formation of Rhein nanofibers with the assistance of HA.This unique structure not only strengthened the hydrogel’s mechanical properties,but also endowed the HRZn hydrogel with sustained release ability towards Rhein and Zn^(2+).Leveraging the synergistic effects of Rhein and Zn^(2+),the HRZn hydrogel exhibited potent antimicrobial,anti-inflammatory,and pro-angiogenic properties.In vivo experiments demonstrated its efficacy in promoting the healing of Staphylococcus aureus(S.aureus)-infected deep burn wounds,highlighting its potential as an advanced wound dressing.Overall,this study presents a promising strategy for the development of multifunctional hydrogels tailored for the treatment of complex burn injuries.展开更多
面对气候变化加剧带来的异常与极端火险事件频发,火管理范式正由传统被动控制转向以灾害风险韧性为导向的“与火共存”。自然生态系统中的动植物与传统生态智慧为适应低强度火灾提供了宝贵经验,揭示了可持续共存的潜力。尽管计划烧除是...面对气候变化加剧带来的异常与极端火险事件频发,火管理范式正由传统被动控制转向以灾害风险韧性为导向的“与火共存”。自然生态系统中的动植物与传统生态智慧为适应低强度火灾提供了宝贵经验,揭示了可持续共存的潜力。尽管计划烧除是公认有效的火灾风险管理工具,但在中国具体国情下,“与火共存”的系统化理念及其与计划烧除的整合研究和应用仍显不足。在研究国内外“与火共存”的基础上,创建“灾害风险预测-与火共存能力评估-计划烧除战略优先区(Risk and Coexistence-Prescribed Burning,RCO-PB)”框架。该框架旨在从理论层面系统化梳理火灾风险与生态系统共存能力间的复杂关系,并构建一套面向区域尺度火管理空间优化的普适性方法论。核心目标在于通过此框架,有效降低高强度火灾风险,科学规划火管理优先区,并为维护生物多样性提供适宜的生态环境。在RCO-PB框架指导下,运用机器学习和深度学习模型,对研究区域(重庆市嘉陵江流域)的火灾风险进行精准预测,并对生态系统的与火共存能力进行了深入评估。应用空间优化模型识别并确定了计划烧除的战略优先区,重点关注那些共存能力强但火灾风险高的区域。结果表明:土地覆盖因子在火灾风险模型预测中起到关键作用,研究区内3%的地区极易发生火灾(风险值≥0.659),7%的地区发生火灾的风险很高(风险值≥0.411),北碚缙云山火险等级极高。与火共存能力高价值区集中在植被复杂、茂密的生态系统,合川南部、北碚西部和北部具有较高的共存能力(前10%,值>0.9)。计划烧除优先区分布在以马尾松纯林、针阔混交林(马尾松-青冈栎/香樟等)为主的林区,主要对这些区域的成熟林木以及灌木进行计划烧除处理。该框架为重庆应用计划烧除管理火灾风险提供有利依据,并为我国西南地区面临高强度火灾的山地城市提供了参考。展开更多
基金supported by the National Natural Science Foundation of China(Nos.52222307 and 52303214)the Department of Science and Technology of Jilin Province(No.20230204086YY).
文摘The development of advanced wound healing materials for deep burn injuries remains a crucial challenge in biomedical fields.Here,we developed a multifunctional mineralized hydrogel dressing composed of sodium hyaluronate(HA),Rhein,and Zn^(2+)(denoted as HRZn hydrogel)for enhanced deep burn wound healing.The HRZn hydrogel was readily prepared by directly mixing HA,Rhein,and Zn^(2+)and formed through a synergistic combination of in situ mineralization and dynamic crosslinking processes.Notably,we showed that Zn^(2+)could effectively induce the formation of Rhein nanofibers with the assistance of HA.This unique structure not only strengthened the hydrogel’s mechanical properties,but also endowed the HRZn hydrogel with sustained release ability towards Rhein and Zn^(2+).Leveraging the synergistic effects of Rhein and Zn^(2+),the HRZn hydrogel exhibited potent antimicrobial,anti-inflammatory,and pro-angiogenic properties.In vivo experiments demonstrated its efficacy in promoting the healing of Staphylococcus aureus(S.aureus)-infected deep burn wounds,highlighting its potential as an advanced wound dressing.Overall,this study presents a promising strategy for the development of multifunctional hydrogels tailored for the treatment of complex burn injuries.
文摘面对气候变化加剧带来的异常与极端火险事件频发,火管理范式正由传统被动控制转向以灾害风险韧性为导向的“与火共存”。自然生态系统中的动植物与传统生态智慧为适应低强度火灾提供了宝贵经验,揭示了可持续共存的潜力。尽管计划烧除是公认有效的火灾风险管理工具,但在中国具体国情下,“与火共存”的系统化理念及其与计划烧除的整合研究和应用仍显不足。在研究国内外“与火共存”的基础上,创建“灾害风险预测-与火共存能力评估-计划烧除战略优先区(Risk and Coexistence-Prescribed Burning,RCO-PB)”框架。该框架旨在从理论层面系统化梳理火灾风险与生态系统共存能力间的复杂关系,并构建一套面向区域尺度火管理空间优化的普适性方法论。核心目标在于通过此框架,有效降低高强度火灾风险,科学规划火管理优先区,并为维护生物多样性提供适宜的生态环境。在RCO-PB框架指导下,运用机器学习和深度学习模型,对研究区域(重庆市嘉陵江流域)的火灾风险进行精准预测,并对生态系统的与火共存能力进行了深入评估。应用空间优化模型识别并确定了计划烧除的战略优先区,重点关注那些共存能力强但火灾风险高的区域。结果表明:土地覆盖因子在火灾风险模型预测中起到关键作用,研究区内3%的地区极易发生火灾(风险值≥0.659),7%的地区发生火灾的风险很高(风险值≥0.411),北碚缙云山火险等级极高。与火共存能力高价值区集中在植被复杂、茂密的生态系统,合川南部、北碚西部和北部具有较高的共存能力(前10%,值>0.9)。计划烧除优先区分布在以马尾松纯林、针阔混交林(马尾松-青冈栎/香樟等)为主的林区,主要对这些区域的成熟林木以及灌木进行计划烧除处理。该框架为重庆应用计划烧除管理火灾风险提供有利依据,并为我国西南地区面临高强度火灾的山地城市提供了参考。
