In situ implantable DNA hydrogel for diagnosis and therapy of postoperative rehemorrhage following intracerebral hemorrhage surgery.
Wenyan YuEnpeng GongChanglin WangChengyuan CheYuzhen ZhaoXinyun WuYi YangHaiyu ShiMengjuan ChenMingge LiLi XieYue GuoMingming GuoLiya MuZhenya WangZhenzhong ZhangKaixiang ZhangJunjie LiuJinjin ShiPublished in: Science advances (2024)
Postoperative rehemorrhage following intracerebral hemorrhage surgery is intricately associated with a high mortality rate, yet there is now no effective clinical treatment. In this study, we developed a hemoglobin (Hb)-responsive in situ implantable DNA hydrogel comprising Hb aptamers cross-linked with two complementary chains and encapsulating deferoxamine mesylate (DFO). Functionally, the hydrogel generates signals upon postoperative rehemorrhage by capturing Hb, demonstrating a distinctive "self-diagnosis" capability. In addition, the ongoing capture of Hb mediates the gradual disintegration of the hydrogel, enabling the on-demand release of DFO without compromising physiological iron-dependent functions. This process achieves self-treatment by inhibiting the ferroptosis of neurocytes. In a collagenase and autologous blood injection model-induced mimic postoperative rehemorrhage model, the hydrogel exhibited a 5.58-fold increase in iron absorption efficiency, reducing hematoma size significantly (from 8.674 to 4.768 cubic millimeters). This innovative Hb-responsive DNA hydrogel not only offers a therapeutic intervention for postoperative rehemorrhage but also provides self-diagnosis feedback, holding notable promise for enhancing clinical outcomes.
Keyphrases
- drug delivery
- patients undergoing
- hyaluronic acid
- tissue engineering
- wound healing
- minimally invasive
- circulating tumor
- cancer therapy
- single molecule
- cell free
- coronary artery bypass
- brain injury
- nucleic acid
- bone marrow
- cardiovascular events
- signaling pathway
- type diabetes
- combination therapy
- mesenchymal stem cells
- diabetic rats
- percutaneous coronary intervention
- deep learning
- atrial fibrillation
- circulating tumor cells
- red blood cell